Abstract
Although the cerebellum contributes to higher-order cognitive and emotional functions relevant to posttraumatic stress disorder (PTSD), prior research on cerebellar volume in PTSD is scant, particularly when considering subregions that differentially map on to motor, cognitive, and affective functions. In a sample of 4215 adults (PTSD n = 1642; Control n = 2573) across 40 sites from the ENIGMA-PGC PTSD working group, we employed a new state-of-the-art deep-learning based approach for automatic cerebellar parcellation to obtain volumetric estimates for the total cerebellum and 28 subregions. Linear mixed effects models controlling for age, gender, intracranial volume, and site were used to compare cerebellum volumes in PTSD compared to healthy controls (88% trauma-exposed). PTSD was associated with significant grey and white matter reductions of the cerebellum. Compared to controls, people with PTSD demonstrated smaller total cerebellum volume, as well as reduced volume in subregions primarily within the posterior lobe (lobule VIIB, crus II), vermis (VI, VIII), flocculonodular lobe (lobule X), and corpus medullare (all p-FDR < 0.05). Effects of PTSD on volume were consistent, and generally more robust, when examining symptom severity rather than diagnostic status. These findings implicate regionally specific cerebellar volumetric differences in the pathophysiology of PTSD. The cerebellum appears to play an important role in higher-order cognitive and emotional processes, far beyond its historical association with vestibulomotor function. Further examination of the cerebellum in trauma-related psychopathology will help to clarify how cerebellar structure and function may disrupt cognitive and affective processes at the center of translational models for PTSD.
Similar content being viewed by others
Introduction
Exposure to trauma is common, and nearly 10% of trauma survivors develop chronic symptoms of posttraumatic stress disorder (PTSD [1]), a debilitating psychiatric condition characterized by a constellation of symptoms including intrusive memories, avoidance, hypervigilance, and negative changes in mood and cognition [2]. An extensive body of research has illuminated key brain regions that differentiate PTSD patients from trauma-exposed controls [3,4,5]. Notably, PTSD has been consistently linked to smaller volume of brain regions including the hippocampus [6,7,8,9], ventromedial prefrontal cortex (vmPFC [10,11,12]), amygdala [13,14,15], insula [16,17,18], and anterior cingulate cortex (ACC; [9, 19, 20]). These regions are part of a critical neural circuit supporting diverse cognitive and affective functions that are disrupted in PTSD, including threat processing, emotion regulation, and emotional memory [21, 22].
A growing body of structural and functional magnetic resonance imaging studies has begun to examine the role of the cerebellum in PTSD [23]. Historically known for its central role in the vestibulomotor system [24], research emerging over the past three decades demonstrates that the cerebellum contributes immensely to higher-order cognition and emotion [25,26,27]. In fact, the human cerebellum has rapidly (and disproportionately) evolved over time [28,29,30]. Despite being approximately 10% of the brain’s overall size [31], the cerebellum houses the vast majority of the brain’s total neurons [32] and occupies nearly 80% of the neocortical surface area [30]. The cerebellum shares rich anatomical connections with much of the brain, including with prefrontal and limbic areas [28, 33,34,35], strongly suggesting that it participates in processes beyond motor coordination that may be highly relevant to PTSD. Moreover, the cerebellum’s widespread connectivity with stress-related regions (such as with the amygdala, hippocampus, and periaqueductal gray) may make it especially vulnerable to traumatic stress, potentially leading to the development of PTSD symptoms by disrupting typical brain-mediated stress responses via cerebro-cerebellar circuits [36, 37]. Recent studies have also demonstrated that the cerebellum is involved in fear learning and memory [23, 38,39,40]; considering PTSD is characterized by aberrancies in threat detection and processing [41, 42], this accumulating evidence argues for incorporating the cerebellum into well-established translational models of PTSD.
Indeed, PTSD has been linked to disrupted functional connectivity between the cerebellum and key cognitive and affective regions, including the amygdala [43]. Meta-analytic work has also suggested cerebellar activation differentiates PTSD patients from healthy controls [44,45,46]. At the structural level, smaller cerebellar volume has been observed in both adult [47, 48] and pediatric [49, 50] PTSD samples. In one of the largest existing studies (N = 84), PTSD patients had smaller left cerebellar hemisphere and vermal volumes compared to trauma-exposed controls. Yet structural studies have not consistently implicated the cerebellum in PTSD [51,52,53], and limitations across studies have made it challenging to reconcile these variable findings. First, a majority of the studies in adults had small sample sizes ranging from 39 [48] to 99 [53]; in fact, the three studies with null findings [51,52,53], had a cumulative total of 82 PTSD patients. Studies have also varied substantially in the structural metrics (volume [47], voxel-wise morphology [48], cortical thickness [53]), and samples (combat [52], violence exposed [47, 51], first responders [53]) employed.
Prior research on cerebellar volume in PTSD has also been limited by largely neglecting to consider important neuroanatomical subdivisions of the cerebellum that differentially map onto motor, cognitive, and affective functions. Gross anatomy delineates two major fissures dividing the cerebellum into three anatomical divisions: the anterior (lobules I–V), posterior (lobules VI-IX), and flocculonodular (lobule X) lobes [54]. The corpus medullare, the white matter core of the cerebellum, is a dense bundle of myelinated fibers with both afferent and efferent projections to transmit neural signals to and from the cerebellum [55]. The anterior lobe receives spinal afferents via spinocerebellar tracts and shares reciprocal connections with motor cortices to help support motor movements, gait, and equilibrium [56], while the flocculonodular lobe is remarkable for its role in receiving vestibular and visual inputs and contributing to the regulation of balance, eye movements, and reflexive responses [55]. By contrast, extensive non-motor functions have been identified within the evolutionarily newer posterior cerebellum [57], which lacks spinal cord inputs and has connections with cortical areas integral to higher-order processes, including the prefrontal cortex and cingulate gyrus [58, 59]. Activation within the posterior lobe has been observed during language and verbal working memory (lobule VI, crus I), spatial processing (lobule VI), and executive function (lobule VI and VIIB, crus I) tasks [26, 57, 60]. Aversive stimulus processing, such as noxious heat and unpleasant images, also appears to involve the posterior cerebellum (lobules VI and VIIB and crus I), implicating these regions in defensive responding [61]. The vermis—the medial cortico-nuclear column connecting the left and right cerebellar hemispheres–is considered an extension of the Papez emotion circuit [62] and is activated during affective processing [25, 27, 63]. Vermal lobules also interact with other regions critical for emotional associative learning including the amygdala, hypothalamus, and periaqueductal gray [25, 64, 65]. Taken together, these careful studies on functional topography have identified three broad subdivisions of the cerebellum comprising sensorimotor, cognitive, and limbic areas [26].
As a heterogenous disorder linked to dysfunction of multiple cerebellum-supported processes, it is unclear whether structural differences in the cerebellum in PTSD are global or may be localized to specific subregions. Most studies, however, have taken a fairly crude approach to examining the cerebellum in PTSD, simply focusing only on the vermis [50, 52] and hemispheric total volumes [47, 49]. While functional work has identified PTSD-related activation differences distributed across the cerebellum, including within the vermis [47, 50], crus [48, 66], and lobules VI and VII [67,68,69], only one structural study [53] has taken a more granular approach in parcellating the cerebellum to test subregional specificity. Importantly, better understanding the relevance of cerebellar structure in the pathophysiology of PTSD may help elucidate potential mechanisms that perpetuate chronic symptoms of PTSD and aid in our ability to develop targeted, effective interventions.
To this end, the present study employed a mega-analysis of total and subregional cerebellar volumes in a large, multi-cohort dataset from the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA)-Psychiatric Genomics Consortium (PGC) PTSD workgroup. In contrast to a meta-analysis, a mega-analysis centralizes and pools data from multiple sites and fits statistical models to the aggregated data while adjusting for site effects. We used a novel, standardized ENIGMA cerebellum parcellation protocol [55, 70] to quantify cerebellar lobule volumes using structural MRI data from 4215 adults with (n = 1642) and without (n = 2573) PTSD. We examined the effects of PTSD on cerebellar volumes, adjusting for age, gender, and total intracranial volume. Based on prior work [47,48,49,50], we hypothesized that PTSD would be associated with smaller total cerebellum volume. Considering functional topography indicates the ‘limbic’ and ‘cognitive’ cerebellum localize to the vermis and posterior lobes, respectively, we hypothesized PTSD would be associated with smaller volumes within these two anatomical divisions [25,26,27].
Methods and Materials
Sample
Clinical, demographic, and neuroimaging data from the ENIGMA-PGC PTSD working group included in the current study are presented in Table 1. MRI scans from 4215 subjects, including 1642 PTSD patients and 2573 healthy controls (approximately 88% trauma-exposed and 12% trauma-naïve; see Supplementary Material), were automatically segmented into cerebellar subregions. All study procedures were approved by local institutional review boards (IRB), and participants provided written informed consent. The present analyses were granted exempt status by the Duke University Health System IRB.
Image acquisition and processing
Whole-brain T1-weighted anatomical MR images were collected from each participant. Acquisition parameters for each cohort are detailed in Supplementary Table S2. Segmentation and quality control procedures were performed at Duke University. A subset of the data (n = 1045) from the Long-Term Impact of Military-Relevant Brain Injury Consortium-Chronic Effects of Neurotrauma Consortium (LIMBIC-CENC) [71] were processed at University of Utah. Cerebellar parcellation was carried out using a deep-learning algorithm, Automatic Cerebellum Anatomical Parcellation using U-Net with Locally Constrained Optimization (ACAPULCO) [72]. Images were corrected for intensity inhomogeneity using N4, blurred with a 3D Gaussian kernel (SD = 3 mm), and transformed to MNI template space. ACAPULCO then employed a cascade of two convolutional neural networks to first define a 3D-bounding box around the cerebellum and then divide it into anatomically meaningful regions. This ultimately resulted in volumetric estimates for the total cerebellum and 28 subregions, including the hemispheric anterior (lobules I-III, IV, and V), posterior (lobules VI, VIIB, VIIIA, VIIIB, IX, and crus I-II), and flocculonodular (lobule X) lobes, vermal lobules VI, VII, VIII, IX, and X, and the corpus medullare (Fig. 1). ACAPULCO achieves results comparable to other established cerebellum parcellation protocols (e.g., CERES2), but may perform better for multi-site datasets [72].
Following segmentation, a two-step quality control procedure was employed, consisting of (1) removal of statistical outliers ± 2.689 SD from the site mean, and (2) visual inspection of cerebellar parcels. Each subject’s segmentation was visually inspected and given a global score by a minimum of two trained raters (AH, SL, MB, LB) on a scale from 1 (good) to 3 (poor/failed). In the event of a discrepancy between raters, the parcellation was examined by a third rater for consensus. Ratings were performed using previously published quality control procedures [55]. Raters were trained using a graduated approach comprising didactic instruction on neuronanatomical landmarks of the cerebellum and its surrounding anatomy (e.g., cerebellar fissures, tentorium), and collaborative rating or practice examples prior to independence. Segments were considered individually; therefore, select subregional volumes (e.g., statistical outliers, circumscribed segmentation errors) for a participant could be excluded, while the remainder of their segments were retained for analysis if correct. Subjects receiving a global score of 3 were excluded from all analyses. A breakdown of ratings by site is noted in Supplementary Table S3.
Statistical analysis
To examine whether PTSD diagnosis was associated with volume differences in the grey matter volumes of the whole cerebellum, hemispheric subregions, vermis, and cerebellar white matter, we performed a series of linear mixed effects models. Statistical analyses were conducted using the lmer package [73] in R v4.3.1. In each model, age, gender, and total intracranial volume were treated as fixed effects, and site/scanner was treated as a random effect. We considered different scanners within sites as separate sites, resulting in a total number of 49 sites coded separately in our analyses. Models were repeated implementing PTSD severity–rather than diagnosis – as a continuous predictor. Due to site measurement differences, PTSD severity was quantified as a percentage of the total score possible (see Table 1). The Benjamini-Hochberg procedure [74] was used to adjust significance values to control the false discovery rate (p-FDR < 0.05; number of tests = 29). These adjustments were done separately for PTSD diagnosis and PTSD severity. Cohen’s d was calculated as a measure of effect size.
Given frequent co-occurrence of PTSD and likely independent effects on cerebellum volume, secondary analyses were conducted to examine the potential effects of depression [75, 76], alcohol use disorder [77, 78], and childhood trauma [79, 80] on cerebellar volumes. For sites with available covariate data (see Supplemental Material), an additional series of linear mixed effects models was conducted, including fixed effects of (1) major depressive disorder diagnosis, (2) alcohol use disorder diagnosis, and (3) total score on the Childhood Trauma Questionnaire (CTQ [81]);
Results
Associations between PTSD diagnosis and cerebellum volumes
The effects of PTSD diagnosis on cerebellum volumes are presented in Table 2. Consistent with hypotheses, after adjusting for age, gender, and total intracranial volume, PTSD diagnosis was associated with significantly smaller total cerebellar volume, b = −981.471, t = −2.793, p-FDR = 0.005. PTSD diagnosis was also associated with smaller volume of the corpus medullare, b = −154.149, t = −2.188, p-unc = 0.026, but this did not survive multiple comparisons corrections (p-FDR = 0.096).
Within the anterior cerebellum (lobules I-V), PTSD diagnosis was associated with a smaller volume of right lobule V, b = −43.364, t = −2.504, p-unc = 0.012, but this did not survive multiple comparisons corrections (p-FDR = 0.051).
Within the posterior cerebellum (crus, lobules VI-IX), PTSD diagnosis was associated with smaller volume of left crus II, b = −114.647, t = −2.753, p-FDR = 0.034, left lobule VIIB, b = −124.109, t = −3.536, p-FDR = 0.005, and right lobule VIIB, b = −138.698, t = −3.691, p-FDR = 0.005.
No significant effects of PTSD diagnosis were observed on volumes within the flocculonodular lobe (lobule X). There was an effect of PTSD on left lobule X volume, but this did not survive multiple comparisons corrections (p-FDR = 0.093).
There was a significant effect of PTSD diagnosis on volumes of vermal lobules VI, b = −20.507, t = −2.649, p-FDR = 0.039, and VIII, b = −29.302, t = −2.767, p-FDR = 0.034. There were no other significant effects of PTSD within the vermis.
Although these differences in cerebellar volumes between patients with PTSD and healthy controls were significant (p-FDR < 0.05), as calculated with Cohen’s d, effects were generally quite small (all d’s < −0.12). Figure 2 depicts a map of the effect sizes.
PTSD severity
When examining PTSD symptom severity (rather than diagnostic status), results were similar, if generally more robust (see Table 3). Specifically, PTSD symptom severity was associated with significantly smaller total cerebellum volume, b = −693.478, t = −3.719, p-FDR = 0.002, and corpus medullare volumes, b = −109.441, t = −2.915, p-FDR = 0.015. Effects were consistent across the posterior cerebellum and vermis, with significant effects of PTSD symptom severity on volumes of left crus II, b = −67.120, t = −3.044, p-FDR = 0.012, left lobule VIIB, b = −73.912, t = −3.995, p-FDR < 0.001, right lobule VIIB, b = −81.890, t = −4.085, p-FDR < 0.001, and vermal lobules VI, b = −13.931, t = −3.393, p-FDR = 0.005, and VIII, b = −17.270, t = −3.058, p-FDR = 0.012.
By contrast, the effect of PTSD on the volume of right lobule V retained significance when examining symptom severity instead of diagnosis, b = −22.300, t = −2.412, p-FDR = 0.046. Additionally, PTSD symptom severity was associated with a significantly smaller volume of the flocculonodular cerebellum, with effects observed in both hemispheres of lobule X (left: b = −3.870, t = −2.512, p-FDR = 0.039; right: b = −4.382, t = −2.777, p-FDR = 0.020).
Potential confounding variables
When including covariates assessing depression, alcohol use, and childhood trauma, effects of PTSD on cerebellar volumes were somewhat diminished (See Supplemental Material); however, when using a more liberal approach to correct for multiple comparisons, most significant effects of PTSD were retained even when accounting for depression and alcohol use disorders. Notably, detecting significant effects in these additional analyses presented a challenge to statistical power. There was high collinearity between PTSD and covariates, and—particularly in the case of childhood trauma severity—substantially reduced sample size because not all sites reported these variables. In cases where the effect of PTSD diagnosis was non-significant upon inclusion of covariates, we followed up by testing whether depression, alcohol use, or childhood trauma predicted cerebellar volumes on their own; in no instance were covariates found to independently predict cerebellar volumes when PTSD status was excluded from the model, demonstrating that our initial findings were specific to PTSD.
Depression status was available for the majority of subjects (n = 3978). When adjusting for major depressive disorder diagnosis, PTSD diagnosis remained significantly associated with smaller volume of both left and right lobule VIIB, and vermis VI. While initially significant, effects of PTSD diagnosis on right lobule V (p-FDR = 0.096) and left crus II (p-FDR = 0.133) volumes did not survive correction for multiple comparisons. PTSD symptom severity was associated with smaller total cerebellum and vermis VIII volumes. Uniquely, depression diagnosis was associated with smaller volume of right lobule X, b = −8.282, t = −2.356, p-FDR = 0.038.
When adjusting for alcohol use disorder (n = 2997), PTSD was associated with significantly smaller cerebellar volumes, including the total cerebellum (p-FDR = 0.046) and localized subregions in the posterior lobe and vermis. Specifically, PTSD diagnosis was negatively associated with volumes of the left crus II (p-FDR = 0.032), right lobule VIIB (p-FDR = 0.003), and vermal lobules VI (p-FDR = 0.034) and VIII (p-FDR = 0.050). Initially significant effects of PTSD diagnosis on right lobule V (p-FDR = 0.105) and left lobule VIIB (p-FDR = 0.056) did not survive correction for multiple comparisons.
Including CTQ severity as a covariate resulted in null effects of PTSD diagnosis; significant effects in left lobules VIIB (p-FDR = 0.280) and VIIIB (p-FDR = 0.161) were no longer significant after correction for multiple comparisons. Considering the largest sample size in these additional analyses was 1013 (approximately a quarter of the sample size in our primary analyses) and effects of PTSD diagnosis were small (Cohen’s d < 0.12), we were poorly powered to detect significant effects of PTSD when accounting for childhood trauma exposure. In addition, 77% of participants with PTSD endorsed a history of childhood trauma, contributing further challenges to identifying dissociable effects of childhood trauma and PTSD (See Supplemental Material). When we excluded PTSD from the model, however, childhood trauma was not significantly associated with cerebellar volumes in any of the regions implicated in primary analyses (e.g., total cerebellum, left and right lobules VIIB), suggesting that these effects are specific to PTSD.
Discussion
Leveraging an international, multisite dataset from ENIGMA-PGC PTSD, we conducted a mega-analysis of total and subregional cerebellar volumes in PTSD. Consistent with hypotheses based on published work [47,48,49,50], PTSD was associated with smaller total cerebellar volume. We found subregional specificity linking PTSD to smaller volumes in the posterior cerebellum, vermis, and flocculonodular cerebellum. Effects of PTSD on cerebellum volume were consistent (and generally more robust) when examining symptom severity rather than diagnostic status. Overall, these findings contribute to an emerging literature that underscores the relevance of cerebellar structure in the pathophysiology of PTSD. Although the appreciation of the cerebellum for its contributions to cognitive and affective function is relatively recent, the current results bolster a growing literature confirming the cerebellum is not exclusively devoted to motor function and may, in fact, have unique relevance to psychiatric conditions including PTSD [23, 35, 82].
Multiple neuroimaging studies have suggested that altered structure and function of the posterior cerebellum may be a neural correlate of PTSD. For instance, structural differences in lobules VIIB, VIIIA, and VIIIB were found in combat-exposed veterans with PTSD [69]. Functionally, PTSD has been linked to increased activation during attentional and emotional tasks [67, 68] and decreased resting-state amplitude of low-frequency fluctuation [83] in lobule VI. In a sample of sexual assault survivors, PTSD severity was negatively associated with activation in lobules VI, VIII, IX, and crus I during the performance of an emotional go/no-go task, and positively associated with activation in left cerebellar lobules VII-IX and crus I-II when retrieving positive memory during a mental imagery task [84]. PTSD has also been linked to decreased global connectivity within the posterior cerebellum during symptom provocation [85]. As the most phylogenetically recent part of the cerebellum [28], the posterior lobe is intricately linked with paralimbic and association cortical areas and plays an integral role in the integration of perception, emotion, and behavior [26, 27]. Accordingly, the posterior cerebellum contributes to the salience network (lobules VI and VII; [25, 86]) and diverse cognitive-affective processes including working memory, attentional allocation, and associative learning [26, 87]. In the context of the current findings, smaller volume of lobule VIIB and crus II may be implicated in the pathophysiology of PTSD, perhaps mapping directly onto symptoms such as hypervigilance and concentration difficulties.
In the present study, PTSD was also associated with smaller volume of vermal lobules VI and VIII. The cerebellar vermis is considered part of the ‘limbic’ cerebellum and appears to play a key role in emotional processing, learning, and memory [25, 27, 63]. Prior work has demonstrated that PTSD is associated with smaller volume [47, 50] and increased signal variability [88] of the vermis. Importantly, structural abnormalities in the vermis may provide increased spatial specificity within existing translational models of PTSD, as converging evidence from both animals and human subjects has shown vermal activation is important for both acquisition [89,90,91,92] and extinction [93, 94] of conditioned fear. The cerebellar vermis has strong connections to brain regions (including the brainstem, amygdala, and hypothalamus) that regulate critical survival functions [95]. The vermis may contribute to fear learning via threat-associated autonomic changes facilitating defensive behavior, such as increases in respiration, heart rate, and blood pressure [91]. Animal research highlights mechanistic links between vermal-midbrain connectivity and defensive behavior; in rats, for instance, lesions of the pathway between the periaqueductal gray and vermal lobule VIII provoke fear-evoked freezing behavior [96]. Importantly, vermal connectivity is also implicated in clinical human samples, and PTSD is associated with disrupted resting-state functional connectivity from the vermis to amygdala, periaqueductal gray, and ventromedial prefrontal cortex [97].
Unexpectedly, PTSD was also associated (diagnosis p-FDR = 0.051, severity p-FDR = 0.046) with smaller volume of right lobule V, a subregion found within the anterior lobe of the cerebellum. Lobule V has been more consistently implicated in sensorimotor functions, including execution of hand movements and perception of tactile stimulation to the hand and foot [98, 99]. Prior work has found evidence of motor slowing in PTSD [100], and executive dysfunction is a common feature of PTSD [101]. Importantly, many neuropsychological tests – including processing speed, set shifting, and design fluency – are dependent on speeded writing or drawing tasks. It is possible that these neuropsychological observations may be affected by both cognitive and motor contributions from the cerebellum.
PTSD symptom severity was also curiously associated with reduced volume of bilateral lobule X (which comprises the flocculonodular lobe), but its association with PTSD diagnosis was non-significant. The flocculonodular lobe is primarily implicated in ocular tracking and regulation of the vestibular system [102]. Yet, when depression diagnosis was added to the model, there was a significant negative effect of depression on right lobule X, whereas effects of PTSD were non-significant. Structural differences in lobule X have previously been observed in major depressive disorder [103], and these differences have been attributed to somatic complaints, such as dizziness, that are frequently endorsed by patients with depression. PTSD and major depressive disorder are highly comorbid [104, 105]. Therefore, smaller lobule X volume may perhaps be unique to patients with prominent depressive features and/or a more somatic symptom profile.
In general, PTSD severity was more robustly associated with cerebellar volume differences than PTSD diagnosis. For instance, although PTSD’s effects on corpus medullare volumes did not survive correction when examining diagnosis, there was a significant association for PTSD severity. The most parsimonious explanation for this phenomenon is that continuous severity scores provide a more powerful statistical test than diagnosis. PTSD status can reflect a wide range of severity within both patient and control groups, and therefore using diagnosis is, in effect, disregarding valuable information that explains variance associated with cerebellar volume. While diagnostic status provides a clinically useful shorthand, it also fails to capture phenotypic variability within PTSD.
It is also possible the more robust results might be explained by the control group containing a mix of trauma-exposed and trauma-naïve participants. Few sites provided data for trauma-naïve participants; as such, the majority of our control group (~88%) was trauma-exposed. We chose to retain trauma-naïve individuals within the control group to benefit from increased power associated with the larger sample size, but this may have introduced additional noise (unaccounted variance) that diminished the significance of diagnosis-related statistical tests. Our severity analyses, however, excluded trauma-naïve participants, as (having no index trauma) they did not complete assessments of PTSD symptom severity. The small sample of trauma-naïve subjects precluded us from assessing whether there are cerebellar volume differences related to trauma exposure (not just PTSD), and future work to examine this question will be valuable. Although exploratory analyses suggested that most PTSD symptom domains – including re-experiencing, avoidance, and negative changes in cognition and mood – were consistently associated with cerebellar volumes (See Supplement), it is imperative that future work aims to consider PTSD beyond categorical diagnosis (including severity scores and variable symptom presentations) to create a reliable neurobiological model.
Overall, despite these significant findings suggesting associations between PTSD and smaller cerebellar volumes, effect sizes were small. As such, it is unlikely that structural cerebellar volumes alone will provide a clinically useful biomarker (e.g., for individual-level prediction). That said, the large sample size and granular parcellation in the current study provided us with increased power and precision to confidently implicate the cerebellum in PTSD. Indeed, these findings help to resolve a previously mixed literature, although the small effect sizes stand in contrast to earlier findings reporting moderate effect sizes [47, 48, 52]. Yet, small sample sizes are likely to overestimate effect sizes [106]. In the context of the small effect sizes the current study discovered, these prior studies would have required upwards of a thousand subjects for reliable, reproducible results. Prior ENIGMA-PGC studies in a subset of the current sample have identified similarly small – albeit slightly larger – effects for other brain region volumes, including the hippocampus (d = −0.17) and amygdala (d = −0.11), associated with PTSD [7]. Future work would benefit from a more systematic comparison amongst brain structures implicated in PTSD to identify the most robust neural correlates of the disorder. It is also possible that, in general, true effects are slightly larger than typically estimated in consortium datasets, which, by nature, are limited by site variability in measurement and design. Despite the advantages of larger sample sizes, statistical modeling often cannot account for other factors that may contribute to cerebellar volumes due to missing data across sites. Improved models accounting for other factors affecting cerebellar structure may provide a clearer picture of the magnitude of these effects in PTSD. Considering the cerebellum has historically been both understudied and inconsistently associated with PTSD, though, these findings provide novel insight into the pathophysiology of PTSD.
Critically, PTSD is incredibly burdensome at both the individual and societal level, causing profound distress, functional impairment, and staggering treatment costs. The insights from the current study have revealed a novel treatment target that may be leveraged to improve treatment outcomes for PTSD. In fact, prior work has shown that the cerebellum is sensitive to external modulation. For example, recent work has highlighted how non-invasive brain stimulation of the cerebellum can modulate cognitive, emotional, and social processes commonly disrupted in PTSD, including mood regulation and context-based prediction [107, 108]. In other work in depression, electroconvulsive therapy has been shown to increase volume of cerebellar regions including lobule VII, and these structural changes were associated with symptom reductions [109]. Changes in cerebellum functional connectivity are also linked to reductions in PTSD symptom severity before and after cognitive processing therapy [110]. As such, despite small effect sizes, prior work has shown that cerebellum structure and function is modifiable, and these localized cerebellum structural findings may provide useful and more precise targets for neuromodulatory, pharmacological, and even psychotherapeutic intervention. Ultimately, integrating neurobiologically-informed targets within treatment protocols may help establish treatments with stronger and more long-lasting therapeutic effects.
Limitations
This is the largest study of cerebellar volumetry in PTSD to date, however, there are several notable limitations. PTSD is a heterogeneous disorder and is highly comorbid with other psychiatric conditions (e.g., depression, substance use disorders) and environmental exposures (e.g., childhood trauma, traumatic brain injury) that are also linked to alterations in cerebellar structure [75, 80, 82]. Employing a mega-analysis in a large multi-cohort consortium dataset enabled us to observe small effect sizes of PTSD on cerebellar volume in our primary analyses, but many sites did not provide diagnostic or item-level data for relevant covariates. Consequently, we were unable to investigate effects of relevant covariates at the same scale. Future studies would benefit from investigating unique and shared phenotypes of PTSD and other common comorbid psychopathologies on the cerebellum to disentangle potential dissociable effects and complex interactions more elegantly. It is also critical for future work to examine how the cerebellum may be uniquely implicated in the dissociative subtype of PTSD. Dissociative symptoms in PTSD are linked to alterations within the midbrain that facilitate passive, rather than active, defensive responses [111, 112]; observed differences in cerebellar functional activation and connectivity related to the dissociative subtype of PTSD [66, 68, 113, 114] may be mediated by the prominent neural pathways between the cerebellum and midbrain. The current study was also focused solely on cerebellar volumetric differences in PTSD. Multiple studies have observed disrupted cerebellar activity both at rest [48, 66, 114] and during trauma-relevant tasks [43, 68, 84, 115] in patients with PTSD. Future work would benefit from improved localization of both functional and structural changes in the cerebellum that may be present in PTSD. In addition, individual differences in education may further explain cerebellar volume reductions and should be explored in future studies. Lastly, the current study is cross-sectional in nature; future longitudinal research will be imperative to better understand whether cerebellum volume confers risk for PTSD or changes as a function of the disorder.
Conclusion
In a sample of over 4000 adults from the ENIGMA-PGC PTSD Consortium, cerebellum volume was significantly smaller in patients with PTSD compared to pooled groups of trauma-exposed and trauma-naïve controls. Specific subregional volume reductions in the vermis and posterior cerebellum (crus II and lobule VIIB) align with previous work demonstrating their involvement in cognitive and affective functions relevant to PTSD, such as fear learning and regulation. Overall, these findings argue for a critical role of the cerebellum in the pathophysiology of PTSD, bolstering support for the region’s contributions to processes beyond vestibulomotor function.
Data availability
The data that support these findings are available from the ENIGMA-PGC PTSD workgroup. Requests for data access should be directed to workgroup leadership. Please see https://enigma.ini.usc.edu/ongoing/enigma-ptsd-working-group/ and https://pgc-ptsd.com for more information. Code for statistical analyses conducted via R can be obtained from the corresponding author (aahuggins@arizona.edu).
References
Kilpatrick DG, Resnick HS, Milanak ME, Miller MW, Keyes KM, Friedman MJ. National estimates of exposure to traumatic events and PTSD prevalence using DSM-IV and DSM-5 criteria. J Trauma Stress. 2013;26:537–47.
Association AP. Diagnostic and statistical manual of mental disorders (5th ed), 2013.
Harnett NG, Goodman AM, Knight DC. PTSD-related neuroimaging abnormalities in brain function, structure, and biochemistry. Exp Neurol. 2020;330:113331.
Hayes JP, Hayes SM, Mikedis AM. Quantitative meta-analysis of neural activity in posttraumatic stress disorder. Biol Mood Anxiety Disord. 2012;2:9.
Karl A, Schaefer M, Malta LS, Dorfel D, Rohleder N, Werner A. A meta-analysis of structural brain abnormalities in PTSD. Neurosci Biobehav Rev. 2006;30:1004–31.
Kitayama N, Vaccarino V, Kutner M, Weiss P, Bremner JD. Magnetic resonance imaging (MRI) measurement of hippocampal volume in posttraumatic stress disorder: a meta-analysis. J Affect Disord. 2005;88:79–86.
Logue MW, van Rooij SJH, Dennis EL, Davis SL, Hayes JP, Stevens JS, et al. Smaller Hippocampal volume in posttraumatic stress disorder: a multisite ENIGMA-PGC Study: Subcortical volumetry results from posttraumatic stress disorder consortia. Biol Psychiatry. 2018;83:244–53.
Woon FL, Sood S, Hedges DW. Hippocampal volume deficits associated with exposure to psychological trauma and posttraumatic stress disorder in adults: a meta-analysis. Prog Neuropsychopharmacol Biol Psychiatry. 2010;34:1181–8.
O’Doherty DC, Chitty KM, Saddiqui S, Bennett MR, Lagopoulos J. A systematic review and meta-analysis of magnetic resonance imaging measurement of structural volumes in posttraumatic stress disorder. Psychiatry Res. 2015;232:1–33.
Morey RA, Haswell CC, Hooper SR, De Bellis MD. Amygdala, Hippocampus, and ventral medial prefrontal cortex volumes differ in maltreated youth with and without chronic posttraumatic stress disorder. Neuropsychopharmacology. 2016;41:791–801.
Kuhn S, Gallinat J. Gray matter correlates of posttraumatic stress disorder: a quantitative meta-analysis. Biol Psychiatry. 2013;73:70–74.
Keding TJ, Herringa RJ. Abnormal structure of fear circuitry in pediatric post-traumatic stress disorder. Neuropsychopharmacology. 2015;40:537–45.
Morey RA, Gold AL, LaBar KS, Beall SK, Brown VM, Haswell CC, et al. Amygdala volume changes in posttraumatic stress disorder in a large case-controlled veterans group. Arch Gen Psychiatry. 2012;69:1169–78.
Rogers MA, Yamasue H, Abe O, Yamada H, Ohtani T, Iwanami A, et al. Smaller amygdala volume and reduced anterior cingulate gray matter density associated with history of post-traumatic stress disorder. Psychiatry Res. 2009;174:210–6.
Veer IM, Oei NY, van Buchem MA, Spinhoven P, Elzinga BM, Rombouts SA. Evidence for smaller right amygdala volumes in posttraumatic stress disorder following childhood trauma. Psychiatry Res. 2015;233:436–42.
Herringa R, Phillips M, Almeida J, Insana S, Germain A. Post-traumatic stress symptoms correlate with smaller subgenual cingulate, caudate, and insula volumes in unmedicated combat veterans. Psychiatry Res. 2012;203:139–45.
Chen S, Xia W, Li L, Liu J, He Z, Zhang Z, et al. Gray matter density reduction in the insula in fire survivors with posttraumatic stress disorder: a voxel-based morphometric study. Psychiatry Res. 2006;146:65–72.
Meng Y, Qiu C, Zhu H, Lama S, Lui S, Gong Q, et al. Anatomical deficits in adult posttraumatic stress disorder: a meta-analysis of voxel-based morphometry studies. Behav Brain Res. 2014;270:307–15.
Woodward SH, Kaloupek DG, Streeter CC, Martinez C, Schaer M, Eliez S. Decreased anterior cingulate volume in combat-related PTSD. Biol Psychiatry. 2006;59:582–7.
Kitayama N, Quinn S, Bremner JD. Smaller volume of anterior cingulate cortex in abuse-related posttraumatic stress disorder. J Affect Disord. 2006;90:171–4.
Shin LM, Liberzon I. The neurocircuitry of fear, stress, and anxiety disorders. Neuropsychopharmacology. 2010;35:169–91.
Rauch SL, Shin LM, Phelps EA. Neurocircuitry models of posttraumatic stress disorder and extinction: human neuroimaging research–past, present, and future. Biol Psychiatry. 2006;60:376–82.
Blithikioti C, Nuno L, Guell X, Pascual-Diaz S, Gual A, Balcells-Olivero M, et al. The cerebellum and psychological trauma: A systematic review of neuroimaging studies. Neurobiol Stress. 2022;17:100429.
Timmann D, Drepper J, Frings M, Maschke M, Richter S, Gerwig M, et al. The human cerebellum contributes to motor, emotional and cognitive associative learning. A review. Cortex. 2010;46:845–57.
Adamaszek M, D’Agata F, Ferrucci R, Habas C, Keulen S, Kirkby KC, et al. Consensus paper: cerebellum and emotion. Cerebellum. 2017;16:552–76.
Schmahmann JD. The cerebellum and cognition. Neurosci Lett. 2019;688:62–75.
Schmahmann JD, Caplan D. Cognition, emotion and the cerebellum. Brain. 2006;129:290–2.
Balsters JH, Cussans E, Diedrichsen J, Phillips KA, Preuss TM, Rilling JK, et al. Evolution of the cerebellar cortex: the selective expansion of prefrontal-projecting cerebellar lobules. Neuroimage. 2010;49:2045–52.
Barton RA, Venditti C. Rapid evolution of the cerebellum in humans and other great apes. Curr Biol. 2014;24:2440–4.
Sereno MI, Diedrichsen J, Tachrount M, Testa-Silva G, d’Arceuil H, De Zeeuw C. The human cerebellum has almost 80% of the surface area of the neocortex. Proc Natl Acad Sci USA. 2020;117:19538–43.
Solov’ev SV. The weight and linear dimensions of the human cerebellum. Neurosci Behav Physiol. 2006;36:479–81.
Azevedo FA, Carvalho LR, Grinberg LT, Farfel JM, Ferretti RE, Leite RE, et al. Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain. J Comp Neurol. 2009;513:532–41.
Bernard JA, Seidler RD, Hassevoort KM, Benson BL, Welsh RC, Wiggins JL, et al. Resting state cortico-cerebellar functional connectivity networks: a comparison of anatomical and self-organizing map approaches. Front Neuroanat. 2012;6:31.
Buckner RL, Krienen FM, Castellanos A, Diaz JC, Yeo BT. The organization of the human cerebellum estimated by intrinsic functional connectivity. J Neurophysiol. 2011;106:2322–45.
Schmahmann JD. Emotional disorders and the cerebellum: Neurobiological substrates, neuropsychiatry, and therapeutic implications. Handb Clin Neurol. 2021;183:109–54.
Moreno-Rius J. The cerebellum under stress. Front Neuroendocrinol. 2019;54:100774.
Carletto S, Borsato T. Neurobiological correlates of post-traumatic stress disorder: a focus on cerebellum role. Eur J Trauma Dissoc. 2017;1:153–7.
Ernst TM, Brol AE, Gratz M, Ritter C, Bingel U, Schlamann M, et al. The cerebellum is involved in processing of predictions and prediction errors in a fear conditioning paradigm. Elife 2019;8:e46831.
Frontera JL, Baba Aissa H, Sala RW, Mailhes-Hamon C, Georgescu IA, Lena C, et al. Bidirectional control of fear memories by cerebellar neurons projecting to the ventrolateral periaqueductal grey. Nat Commun. 2020;11:5207.
Lange I, Kasanova Z, Goossens L, Leibold N, De Zeeuw CI, van Amelsvoort T, et al. The anatomy of fear learning in the cerebellum: A systematic meta-analysis. Neurosci Biobehav Rev. 2015;59:83–91.
Milad MR, Quirk GJ. Fear extinction as a model for translational neuroscience: ten years of progress. Annu Rev Psychol. 2012;63:129–51.
Sevenster D, Visser RM, D’Hooge R. A translational perspective on neural circuits of fear extinction: Current promises and challenges. Neurobiol Learn Mem. 2018;155:113–26.
Belleau EL, Ehret LE, Hanson JL, Brasel KJ, Larson CL, deRoon-Cassini TA. Amygdala functional connectivity in the acute aftermath of trauma prospectively predicts severity of posttraumatic stress symptoms. Neurobiol Stress. 2020;12:100217.
Pannu Hayes J, Labar KS, Petty CM, McCarthy G, Morey RA. Alterations in the neural circuitry for emotion and attention associated with posttraumatic stress symptomatology. Psychiatry Res. 2009;172:7–15.
Koch SB, van Zuiden M, Nawijn L, Frijling JL, Veltman DJ, Olff M. Aberrant resting-state brain activity in posttraumatic stress disorder: a meta-analysis and systematic review. Depress Anxiety. 2016;33:592–605.
Wang T, Liu J, Zhang J, Zhan W, Li L, Wu M, et al. Altered resting-state functional activity in posttraumatic stress disorder: A quantitative meta-analysis. Sci Rep. 2016;6:27131.
Baldacara L, Jackowski AP, Schoedl A, Pupo M, Andreoli SB, Mello MF, et al. Reduced cerebellar left hemisphere and vermal volume in adults with PTSD from a community sample. J Psychiatr Res. 2011;45:1627–33.
Holmes SE, Scheinost D, DellaGioia N, Davis MT, Matuskey D, Pietrzak RH, et al. Cerebellar and prefrontal cortical alterations in PTSD: structural and functional evidence. Chronic Stress 2018;2:2470547018786390.
De Bellis MD, Kuchibhatla M. Cerebellar volumes in pediatric maltreatment-related posttraumatic stress disorder. Biol Psychiatry. 2006;60:697–703.
Carrion VG, Weems CF, Watson C, Eliez S, Menon V, Reiss AL. Converging evidence for abnormalities of the prefrontal cortex and evaluation of midsagittal structures in pediatric posttraumatic stress disorder: an MRI study. Psychiatry Res. 2009;172:226–34.
Fennema-Notestine C, Stein MB, Kennedy CM, Archibald SL, Jernigan TL. Brain morphometry in female victims of intimate partner violence with and without posttraumatic stress disorder. Biol Psychiatry. 2002;52:1089–101.
Levitt JJ, Chen QC, May FS, Gilbertson MW, Shenton ME, Pitman RK. Volume of cerebellar vermis in monozygotic twins discordant for combat exposure: lack of relationship to post-traumatic stress disorder. Psychiatry Res. 2006;148:143–9.
Clouston SAP, Kritikos M, Huang C, Kuan PF, Vaska P, Pellecchia AC, et al. Reduced cerebellar cortical thickness in World Trade Center responders with cognitive impairment. Transl Psychiatry. 2022;12:107.
Singh R. Cerebellum: its anatomy, functions and diseases, 2020.
Kerestes R, Han S, Balachander S, Hernandez-Castillo C, Prince JL, Diedrichsen J, et al. A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging. J Vis Exp. 2022 https://doi.org/10.3791/63340.
Oscarsson O. Functional organization of the Spino- and Cuneocerebellar tracts. Physiol Rev. 1965;45:495–522.
Stoodley CJ, Schmahmann JD. Functional topography in the human cerebellum: a meta-analysis of neuroimaging studies. Neuroimage. 2009;44:489–501.
Schmahmann JD, Pandya DN. Prefrontal cortex projections to the basilar pons in rhesus monkey: implications for the cerebellar contribution to higher function. Neurosci Lett. 1995;199:175–8.
Schmahmann JD, Pandya DN. The cerebrocerebellar system. Int Rev Neurobiol. 1997;41:31–60.
Marvel CL, Desmond JE. Functional topography of the cerebellum in verbal working memory. Neuropsychol Rev. 2010;20:271–9.
Moulton EA, Elman I, Pendse G, Schmahmann J, Becerra L, Borsook D. Aversion-related circuitry in the cerebellum: responses to noxious heat and unpleasant images. J Neurosci. 2011;31:3795–804.
Schutter DJ, van Honk J. The cerebellum on the rise in human emotion. Cerebellum. 2005;4:290–4.
Pierce JE, Thomasson M, Voruz P, Selosse G, Peron J. Explicit and implicit emotion processing in the cerebellum: a meta-analysis and systematic review. Cerebellum. 2023;22:852–64.
Canu E, Calderaro D, Castelnovo V, Basaia S, Magno MA, Riva N, et al. Resting state functional brain networks associated with emotion processing in frontotemporal lobar degeneration. Mol Psychiatry. 2022;27:4809–21.
Schienle A, Scharmuller W. Cerebellar activity and connectivity during the experience of disgust and happiness. Neuroscience. 2013;246:375–81.
Rabellino D, Densmore M, Theberge J, McKinnon MC, Lanius RA. The cerebellum after trauma: Resting-state functional connectivity of the cerebellum in posttraumatic stress disorder and its dissociative subtype. Hum Brain Mapp. 2018;39:3354–74.
Naegeli C, Zeffiro T, Piccirelli M, Jaillard A, Weilenmann A, Hassanpour K, et al. Locus Coeruleus activity mediates hyperresponsiveness in posttraumatic stress disorder. Biol Psychiatry. 2018;83:254–62.
Rabellino D, Densmore M, Frewen PA, Theberge J, Lanius RA. The innate alarm circuit in post-traumatic stress disorder: Conscious and subconscious processing of fear- and trauma-related cues. Psychiatry Res Neuroimaging. 2016;248:142–50.
Sui SG, Zhang Y, Wu MX, Xu JM, Duan L, Weng XC, et al. Abnormal cerebellum density in victims of rape with post-traumatic stress disorder: voxel-based analysis of magnetic resonance imaging investigation. Asia Pac Psychiatry. 2010;2:129–35.
Kerestes R, Cummins H, Georgiou-Karistianis N, Selvadurai LP, Corben LA, Delatycki MB, et al. Reduced cerebello-cerebral functional connectivity correlates with disease severity and impaired white matter integrity in Friedreich ataxia. J Neurol. 2023;270:2360–9.
O’Neil ME, Agyemang A, Walker WC, Pogoda TK, Klyce DW, Perrin PB, et al. Demographic, military, and health comorbidity variables by mild TBI and PTSD status in the LIMBIC-CENC cohort. Brain Inj. 2022;36:598–606.
Han S, Carass A, He Y, Prince JL. Automatic cerebellum anatomical parcellation using U-Net with locally constrained optimization. Neuroimage. 2020;218:116819.
Bates D, Mächler M, Bolker B, Walker S. Fitting linear mixed-effects models using lme4. J Stat Softw. 2015;67:1–48.
Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc, Ser B. 1995;57:289–300.
Lupo M, Siciliano L, Leggio M. From cerebellar alterations to mood disorders: A systematic review. Neurosci Biobehav Rev. 2019;103:21–28.
Peng J, Liu J, Nie B, Li Y, Shan B, Wang G, et al. Cerebral and cerebellar gray matter reduction in first-episode patients with major depressive disorder: a voxel-based morphometry study. Eur J Radiol. 2011;80:395–9.
Miquel M, Vazquez-Sanroman D, Carbo-Gas M, Gil-Miravet I, Sanchis-Segura C, Carulli D, et al. Have we been ignoring the elephant in the room? Seven arguments for considering the cerebellum as part of addiction circuitry. Neurosci Biobehav Rev. 2016;60:1–11.
Segobin SH, Chetelat G, Le Berre AP, Lannuzel C, Boudehent C, Vabret F, et al. Relationship between brain volumetric changes and interim drinking at six months in alcohol-dependent patients. Alcohol Clin Exp Res. 2014;38:739–48.
Clausen AN, Aupperle RL, Yeh HW, Waller D, Payne J, Kuplicki R, et al. Machine learning analysis of the relationships between gray matter volume and childhood trauma in a transdiagnostic community-based sample. Biol Psychiatry Cogn Neurosci Neuroimaging. 2019;4:734–42.
Teicher MH, Samson JA. Annual Research Review: Enduring neurobiological effects of childhood abuse and neglect. J Child Psychol Psychiatry. 2016;57:241–66.
Bernstein DP, Fink L. Childhood Trauma Questionnaire: a retrospective self-report manual. The Psychological Corporation: San Antonio, TX, 1998.
Phillips JR, Hewedi DH, Eissa AM, Moustafa AA. The cerebellum and psychiatric disorders. Front Public Health. 2015;3:66.
Yin Y, Li L, Jin C, Hu X, Duan L, Eyler LT, et al. Abnormal baseline brain activity in posttraumatic stress disorder: a resting-state functional magnetic resonance imaging study. Neurosci Lett. 2011;498:185–9.
Quide Y, Clery H, Andersson F, Descriaud C, Saint-Martin P, Barantin L, et al. Neurocognitive, emotional and neuroendocrine correlates of exposure to sexual assault in women. J Psychiatry Neurosci. 2018;43:318–26.
Abdallah CG, Averill CL, Ramage AE, Averill LA, Goktas S, Nemati S, et al. Salience network disruption in U.S. army soldiers with posttraumatic stress disorder. Chronic Stress 2019;3:2470547019850467.
Habas C, Kamdar N, Nguyen D, Prater K, Beckmann CF, Menon V, et al. Distinct cerebellar contributions to intrinsic connectivity networks. J Neurosci. 2009;29:8586–94.
Guell X, Schmahmann JD, Gabrieli J, Ghosh SS. Functional gradients of the cerebellum. Elife 2018;7:e36652.
Ke J, Zhang L, Qi R, Xu Q, Li W, Hou C, et al. Altered blood oxygen level-dependent signal variability in chronic post-traumatic stress disorder during symptom provocation. Neuropsychiatr Dis Treat. 2015;11:1805–15.
Claassen J, Labrenz F, Ernst TM, Icenhour A, Langhorst J, Forsting M, et al. Altered cerebellar activity in visceral pain-related fear conditioning in irritable bowel syndrome. Cerebellum. 2017;16:508–17.
Frings M, Maschke M, Erichsen M, Jentzen W, Muller SP, Kolb FP, et al. Involvement of the human cerebellum in fear-conditioned potentiation of the acoustic startle response: a PET study. Neuroreport. 2002;13:1275–8.
Sacchetti B, Baldi E, Lorenzini CA, Bucherelli C. Cerebellar role in fear-conditioning consolidation. Proc Natl Acad Sci USA. 2002;99:8406–11.
Batsikadze G, Diekmann N, Ernst TM, Klein M, Maderwald S, Deuschl C, et al. The cerebellum contributes to context-effects during fear extinction learning: A 7T fMRI study. Neuroimage. 2022;253:119080.
Fullana MA, Albajes-Eizagirre A, Soriano-Mas C, Vervliet B, Cardoner N, Benet O, et al. Fear extinction in the human brain: A meta-analysis of fMRI studies in healthy participants. Neurosci Biobehav Rev. 2018;88:16–25.
Utz A, Thurling M, Ernst TM, Hermann A, Stark R, Wolf OT, et al. Cerebellar vermis contributes to the extinction of conditioned fear. Neurosci Lett. 2015;604:173–7.
Habas C, Manto M. Probing the neuroanatomy of the cerebellum using tractography. Handb Clin Neurol. 2018;154:235–49.
Koutsikou S, Crook JJ, Earl EV, Leith JL, Watson TC, Lumb BM, et al. Neural substrates underlying fear-evoked freezing: the periaqueductal grey-cerebellar link. J Physiol. 2014;592:2197–213.
Thome J, Densmore M, Frewen PA, McKinnon MC, Theberge J, Nicholson AA, et al. Desynchronization of autonomic response and central autonomic network connectivity in posttraumatic stress disorder. Hum Brain Mapp. 2017;38:27–40.
Bushara KO, Wheat JM, Khan A, Mock BJ, Turski PA, Sorenson J, et al. Multiple tactile maps in the human cerebellum. Neuroreport. 2001;12:2483–6.
Grodd W, Hulsmann E, Lotze M, Wildgruber D, Erb M. Sensorimotor mapping of the human cerebellum: fMRI evidence of somatotopic organization. Hum Brain Mapp. 2001;13:55–73.
Twamley EW, Allard CB, Thorp SR, Norman SB, Hami Cissell S, Hughes Berardi K, et al. Cognitive impairment and functioning in PTSD related to intimate partner violence. J Int Neuropsychol Soc. 2009;15:879–87.
Aupperle RL, Melrose AJ, Stein MB, Paulus MP. Executive function and PTSD: disengaging from trauma. Neuropharmacology. 2012;62:686–94.
Argyropoulos GPD, van Dun K, Adamaszek M, Leggio M, Manto M, Masciullo M, et al. The cerebellar cognitive affective/Schmahmann Syndrome: a task force paper. Cerebellum. 2020;19:102–25.
Xu LY, Xu FC, Liu C, Ji YF, Wu JM, Wang Y, et al. Relationship between cerebellar structure and emotional memory in depression. Brain Behav. 2017;7:e00738.
O’Donnell ML, Creamer M, Pattison P. Posttraumatic stress disorder and depression following trauma: understanding comorbidity. Am J Psychiatry. 2004;161:1390–6.
Brady KT, Killeen TK, Brewerton T, Lucerini S. Comorbidity of psychiatric disorders and posttraumatic stress disorder. J Clin Psychiatry. 2000;61:22–32.
Button KS, Ioannidis JP, Mokrysz C, Nosek BA, Flint J, Robinson ES, et al. Power failure: why small sample size undermines the reliability of neuroscience. Nat Rev Neurosci. 2013;14:365–76.
Cattaneo Z, Ferrari C, Ciricugno A, Heleven E, Schutter D, Manto M, et al. New horizons on non-invasive brain stimulation of the social and affective cerebellum. Cerebellum. 2022;21:482–96.
Tomlinson SP, Davis NJ, Bracewell RM. Brain stimulation studies of non-motor cerebellar function: a systematic review. Neurosci Biobehav Rev. 2013;37:766–89.
Depping MS, Nolte HM, Hirjak D, Palm E, Hofer S, Stieltjes B, et al. Cerebellar volume change in response to electroconvulsive therapy in patients with major depression. Prog Neuropsychopharmacol Biol Psychiatry. 2017;73:31–35.
Vuper TC, Philippi CL, Bruce SE. Altered resting-state functional connectivity of the default mode and central executive networks following cognitive processing therapy for PTSD. Behav Brain Res. 2021;409:113312.
Harricharan S, Rabellino D, Frewen PA, Densmore M, Theberge J, McKinnon MC, et al. fMRI functional connectivity of the periaqueductal gray in PTSD and its dissociative subtype. Brain Behav. 2016;6:e00579.
Nicholson AA, Friston KJ, Zeidman P, Harricharan S, McKinnon MC, Densmore M, et al. Dynamic causal modeling in PTSD and its dissociative subtype: Bottom-up versus top-down processing within fear and emotion regulation circuitry. Hum Brain Mapp. 2017;38:5551–61.
Nicholson AA, Densmore M, Frewen PA, Theberge J, Neufeld RW, McKinnon MC, et al. The dissociative subtype of posttraumatic stress disorder: unique resting-state functional connectivity of basolateral and centromedial amygdala complexes. Neuropsychopharmacology. 2015;40:2317–26.
Lebois LAM, Harnett NG, van Rooij SJH, Ely TD, Jovanovic T, Bruce SE, et al. Persistent dissociation and its neural correlates in predicting outcomes after trauma exposure. Am J Psychiatry. 2022;179:661–72.
Terpou BA, Densmore M, Thome J, Frewen P, McKinnon MC, Lanius RA. The innate alarm system and subliminal threat presentation in posttraumatic stress disorder: neuroimaging of the midbrain and cerebellum. Chronic Stress. 2019;3:2470547018821496.
Acknowledgements
This study was funded by the Department of Defense (Grants Nos. R01MH111671, R01MH117601, R01AG059874, MJFF 14848 [to NJ], W81XWH-12-2-0012 [to SIT & PMT]; ENIGMA was also supported in part by NIH U54 EB020403 from the Big Data to Knowledge (BD2K) program (Grant Nos. R56AG058854, R01MH116147, R01MH111671, and P41 EB015922 [to PMT, SIT]); ZonMw, the Netherlands organization for Health Research and Development (Grant No. 40-00812-98-10041), and by a grant from the Academic Medical Center Research Council (Grant No. 110614) both awarded [to MO, DJV, JLF, MVZ, SBJK, LN]; The National Natural Science Foundation of China (No. U21A20364 and No. 31971020), the Key Project of the National Social Science Foundation of China (No. 20ZDA079), the Key Project of Research Base of Humanities and Social Sciences of Ministry of Education (No.16JJD190006), and the Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences (No. E2CX4115CX) [to LW, YZ]; The SAMRC Unit on Risk & Resilience in Mental Disorders [to DJS]; The South African Medical Research Council for the “Shared Roots” Flagship Project, (Grant no. MRC-RFA-IFSP-01-2013 [to SS, SDP, LLVDH)/SHARED ROOTS” through funding received from the South African National Treasury under its Economic Competitiveness and Support Package. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the South African Medical Research Council. [SS] is supported by the South African Research Chairs Initiative in Posttraumatic Stress Disorder through the Department of Science and Innovation and the National Research Foundation. The work by [LLVDH] reported herein was made possible through funding by the South African Medical Research Council through its Division of Research Capacity Development under the SAMRC CLINICIAN RESEARCHER (M.D PHD) SCHOLARSHIP PROGRAMME from funding received from the South African National Treasury. The content hereof is the sole responsibility of the authors and do not necessarily represent the official views of the SAMRC or the funders; National Institute of Mental Health (Grant No. NIMH K01 MH118428 [to BSJ]), NARSAD Young Investigator Award [to BSJ]; NARSAD (Grant No. 27040) and K01MH122774 to [ZX]; R01MH105355-01A to [YN]; The National Institutes of Health (Grant No. RO1 MH111671) & VA Mid-Atlantic MIRECC [to CLB, AAH, CCH, RM, DS, MB, SF, SL]; The National Institute of Mental Health (Grants Nos. MH098212, MH071537 [to JSS, KSR, TJ, SJHVR] & MH101380 [to NF]), the National Center for Advancing Translational Sciences (Grant No. UL1TR000454 [to JSS, KSR, TJ, SJHVR]), National Center for Research Resources (Grant Nos. M01RR00039 [to JSS, KSR, TJ, SJHVR]); Eunice Kennedy Shriver National Institute of Child Health and Human Development (Grant Nos. HD071982 and HD085850 [to JSS, KRJ, TJ, SJHVR]); BOF 2–4 year project (Grant No. 01J05415 [to SCM]); German Research Foundation (Grant Nos. DA 1222/4-1 and WA 1539/8-2 [to AS, AM, HW, JKD]); The Ministry of Health of the Czech Republic (Grant no. AZV NV18-7 04-00559 [to PŘ]); K01MH118467 [to LAML]; Julia Kasparian Fund for Neuroscience Research [to LAML, MLK]; R21MH112956 & R01MH119227 [to MLK], McLean Hospital Trauma Scholars Fund [to MLK], Barlow Family Fund [to MLK]; R01 MH096987 [to IMR]; R01MH113574 [to IL]; VA Rehabilitation Research and Development (RR&D) (Grant Nos. 1IK2RX000709 [to NDD], 1K2RX002922 [to SGD], and I01RX000622 [to SRS]); Congressionally Directed Medical Research Programs Grant No. W81XWH-08–2–0038 (to SRS); German Research Society - Deutsche Forschungsgemeinschaft, DFG; (Grant No. SFB/TRR 58: C06, C07 [to DH, TS]); The Natural Science Foundation of Jiangsu Province (Grant No. BK20221554 [to RQ]), and the Foundation for the Social Development Project of Jiangsu (Grant No. BE2022705 [to RQ]); The Department of Defense (Grant Nos. W81XWH-10-1-0925), Center for Brain and Behavior Research Pilot Grant, and South Dakota Governor’s Research Center Grant [to LAB, GLF, RMS, JSS, VAM, KAF]; The Fondation Pierre Deniker and Neuroimagerie Fonctionnelle (Grant No. SFR FED4226 [to WEH]; R01MH107382-02 [to SL]; K23 MH090366-01 [to SB]; Dana Foundation [to JBN]; the University of Wisconsin Institute for Clinical and Translational Research; a National Science Foundation Graduate Research Fellowship [to DWG]; the National Institute of Mental Health (NIMH) (Grant Nos. R01-MH043454 and T32-MH018931 [to RJD]; and a core grant to the Waisman Center from the National Institute of Child Health and Human Development (Grant No. P30-HD003352); R01 MH106574 [to CL, TADC]; NIMH R21MH106998; NIMH (Grant No. R21MH106998 [to JUB, BOO]; The National Institute on Aging (Grant Nos. R01 AG050595, R01 AG022381 [to WSK, MJL]; VA Clinical Science Research and Development (Grant No. 1IK2CX001680 [to EG]); VISN17 Center of Excellence pilot funding [to EMG, GM, SMN]; VA National Center for PTSD and the Beth K and Stuart Yudofsky Chair in the Neuropsychiatry of Military Post Traumatic Stress Syndrome [to CGA]; 1R21MH102634 [to IL]; R01MH105535 [to IHR]; Department of Veterans Affairs via support for the National Center for PTSD, National Institute on Alcohol Abuse and Alcoholism via its support for (P50) Center for the Translational Neuroscience of Alcohol, and NCATS via its support of (Clinical and Translational Science Awards) Yale Center for Clinical Investigation [to JHK]; R61NS120249 [to ELD, DFT, EAW]; The Assistant Secretary of Defense for Health Affairs endorsed by the Department of Defense, through the Psychological Health/Traumatic Brain Injury Research Program Long-Term Impact of Military-Relevant Brain Injury Consortium (LIMBIC) Award/W81XWH-18-PH/TBIRP-LIMBIC under (Grant Nos. W81XWH1920067 and W81XWH-13-2-00950 [to WCW], and by the U.S. Department of Veterans Affairs (Grant Nos. I01 CX002097, I01 CX002096, I01 CX001820, I01 HX003155, I01 RX003444, I01 RX003443, I01 RX003442, I01 CX001135, I01 CX001246, I01 RX001774, I01 RX 001135, I01 RX 002076, I01 RX 001880, I01 RX 002172, I01 RX 002173, I01 RX 002171, I01 RX 002174, and I01 RX 002170 [to WCW]), The U.S. Army Medical Research Acquisition Activity, 839 Chandler Street, Fort Detrick MD 21702-5014 is the awarding and administering acquisition office [to WCW]; HFP90-020 [to EAW]; NHMRC Ideas (Grant No. 1184403 [to IHH].
Author information
Authors and Affiliations
Contributions
AAH: Conceptualization, Methodology, Validation, Formal Analysis, Investigation, Data Curation, Writing–Original Draft, Review & Editing, Visualization. CLB: Data Curation, Investigation, Writing–Review & Editing, Project Administration. MB: Data Curation, Investigation, Writing–Review & Editing, Project Administration. SL: Data Curation, Investigation, Writing–Review & Editing, Project Administration. AH: Data Curation, Investigation, Writing–Review & Editing, Project Administration. SF: Data Curation, Investigation, Writing–Review & Editing, Project Administration. CH: Methodology, Validation, Investigation, Writing–Review & Editing, Project Administration. DS: Methodology, Validation, Investigation, Writing–Review & Editing, Project Administration. LES: Writing–Review & Editing, Investigation. NJ: Writing–Review & Editing, Investigation. SIT: Writing–Review & Editing, Investigation. DJV: Writing–Review & Editing, Investigation. JLF: Writing–Review & Editing, Investigation. MO: Writing–Review & Editing, Investigation. MvZ: Writing–Review & Editing, Investigation. SBJK: Writing–Review & Editing, Investigation. LN: Writing–Review & Editing, Investigation. LW: Writing–Review & Editing, Investigation. YZ: Writing–Review & Editing, Investigation. GL: Writing–Review & Editing, Investigation. DJS: Writing–Review & Editing, Investigation. JI: Writing–Review & Editing, Investigation. SS: Writing–Review & Editing, Investigation. SdP: Writing–Review & Editing, Investigation. LLvdH: Writing–Review & Editing, Investigation. BS: Writing–Review & Editing, Investigation. XZ: Writing–Review & Editing, Investigation. YK: Writing–Review & Editing, Investigation. XH: Writing–Review & Editing, Investigation. SZ: Writing–Review & Editing, Investigation. AL: Writing–Review & Editing, Investigation. YN: Writing–Review & Editing, Investigation. JSS: Writing–Review & Editing, Investigation. KJR: Writing–Review & Editing, Investigation. TJ: Writing–Review & Editing, Investigation. SJHVR: Writing–Review & Editing, Investigation. NF: Writing–Review & Editing, Investigation. ARH: Writing–Review & Editing, Investigation. SCM: Writing–Review & Editing, Investigation. AS: Writing–Review & Editing, Investigation. AM: Writing–Review & Editing, Investigation. HW: Writing–Review & Editing, Investigation. JKD: Writing–Review & Editing, Investigation. CS: Writing–Review & Editing, Investigation. JIH: Writing–Review & Editing, Investigation. PR: Writing–Review & Editing, Investigation. IR: Writing–Review & Editing, Investigation. LAML: Writing–Review & Editing, Investigation. MLK: Writing–Review & Editing, Investigation. EAO: Writing–Review & Editing, Investigation. JTB: Writing–Review & Editing, Investigation. IMR: Writing–Review & Editing, Investigation. APK: Writing–Review & Editing, Investigation. IL: Writing–Review & Editing, Investigation. MA: Writing–Review & Editing, Investigation. NDD: Writing–Review & Editing, Investigation. SRS: Writing–Review & Editing, Investigation. SGD: Writing–Review & Editing, Investigation. TS: Writing–Review & Editing, Investigation. DH: Writing–Review & Editing, Investigation. RQ: Writing–Review & Editing, Investigation. GML: Writing–Review & Editing, Investigation. LAB: Writing–Review & Editing, Investigation. GLF: Investigation. RMS: Writing–Review & Editing, Investigation. JSS: Writing–Review & Editing, Investigation. VAM: Writing–Review & Editing, Investigation. KAF: Writing–Review & Editing, Investigation. AM: Writing–Review & Editing, Investigation. AE: Writing–Review & Editing, Investigation. ASC: Writing–Review & Editing, Investigation. ENO: Writing–Review & Editing, Investigation. HX: Writing–Review & Editing, Investigation. XW: Writing–Review & Editing, Investigation. YQ: Writing–Review & Editing, Investigation. WE: Writing–Review & Editing, Investigation. SL: Writing–Review & Editing, Investigation. HB: Writing–Review & Editing, Investigation. SB: Writing–Review & Editing, Investigation. JS: Writing–Review & Editing, Investigation. MR: Writing–Review & Editing, Investigation. RJH: Writing–Review & Editing, Investigation. DWG: Writing–Review & Editing, Investigation. JBN: Writing–Review & Editing, Investigation. RJD: Writing–Review & Editing, Investigation. CLL: Writing–Review & Editing, Investigation. TAD: Writing–Review & Editing, Investigation. CWTJMF: Writing–Review & Editing, Investigation. JUB: Writing–Review & Editing, Investigation. BOO: Writing–Review & Editing, Investigation. WSK: Writing–Review & Editing, Investigation. MJL: Writing–Review & Editing, Investigation. CEF: Writing–Review & Editing, Investigation. EMG: Writing–Review & Editing, Investigation. GM: Writing–Review & Editing, Investigation. SMN: Writing–Review & Editing, Investigation. CGA: Writing–Review & Editing, Investigation. IL: Writing–Review & Editing, Investigation. IH: Writing–Review & Editing, Investigation. JHK: Writing–Review & Editing, Investigation. ELD: Writing–Review & Editing, Investigation. DFT: Writing–Review & Editing, Investigation. DXC: Writing–Review & Editing, Investigation. WCW: Writing–Review & Editing, Investigation. EAW: Writing–Review & Editing, Investigation. IHH: Conceptualization, Methodology, Validation, Writing–Review & Editing, Project administration. RK: Conceptualization, Methodology, Validation, Writing–Review & Editing, Visualization, Project administration. PMT: Conceptualization, Methodology, Writing–Review & Editing, Investigation, Project administration, Funding acquisition. RM: Conceptualization, Methodology, Writing–Review & Editing, Investigation, Project administration, Supervision, Funding acquisition.
Corresponding author
Ethics declarations
Competing interests
NJ received partial research support from Biogen, Inc. (Boston, USA) for research unrelated to the content of this manuscript. PMT received partial research support from Biogen, Inc. (Boston, USA) for research unrelated to the topic of this manuscript. CS is consultant for Boehringer Ingelheim International GmbH. LAML reports unpaid membership on the Scientific Committee for the International Society for the Study of Trauma and Dissociation (ISSTD), grant support from the National Institute of Mental Health, K01 MH118467, and spousal IP payments from Vanderbilt University for technology licensed to Acadia Pharmaceuticals unrelated to the present work. ISSTD and NIMH were not involved in the analysis or preparation of the manuscript. WEH is affiliated with Air Liquide, Boehringer Ingelheim, CHUGAI, EISAI, Jazz Pharmaceuticals, Janssen, Lundbeck, Novartis, Otsuka, UCB but nothing related to this work. RJD is the founder and president of, and serves on the board of directors for, the non-profit organization Healthy Minds Innovations, Inc. CGA has served as a consultant, speaker and/or on advisory boards for FSV7, Lundbeck, Psilocybin Labs, Genentech, Janssen and Aptinyx; served as editor of Chronic Stress for Sage Publications, Inc; and filed a patent for using mTOR inhibitors to augment the effects of antidepressants (filed on August 20, 2018). JHK is a consultant for AbbVie, Inc., Amgen, Astellas Pharma Global Development, Inc., AstraZeneca Pharmaceuticals, Biomedisyn Corporation, Bristol-Myers Squibb, Eli Lilly and Company, Euthymics Bioscience, Inc., Neurovance, Inc., FORUM Pharmaceuticals, Janssen Research & Development, Lundbeck Research USA, Novartis Pharma AG, Otsuka America Pharmaceutical, Inc., Sage Therapeutics, Inc., Sunovion Pharmaceuticals, Inc., and Takeda Industries; is on the Scientific Advisory Board for Lohocla Research Corporation, Mnemosyne Pharmaceuticals, Inc., Naurex, Inc., and Pfizer; is a stockholder in Biohaven Pharmaceuticals; holds stock options in Mnemosyne Pharmaceuticals, Inc.; holds patents for Dopamine and Noradrenergic Reuptake Inhibitors in Treatment of Schizophrenia, US Patent No. 5,447,948 (issued September 5, 1995), and Glutamate Modulating Agents in the Treatment of Mental Disorders, U.S. Patent No. 8,778,979 (issued July 15, 2014); and filed a patent for Intranasal Administration of Ketamine to Treat Depression. U.S. Application No. 14/197,767 (filed on March 5, 2014); US application or Patent Cooperation Treaty international application No. 14/306,382 (filed on June 17, 2014). Filed a patent for using mTOR inhibitors to augment the effects of antidepressants (filed on August 20, 2018). A version of this manuscript was uploaded to the biorxiv.org preprint server (https://doi.org/10.1101/2022.10.13.512111).
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Huggins, A.A., Baird, C.L., Briggs, M. et al. Smaller total and subregional cerebellar volumes in posttraumatic stress disorder: a mega-analysis by the ENIGMA-PGC PTSD workgroup. Mol Psychiatry 29, 611–623 (2024). https://doi.org/10.1038/s41380-023-02352-0
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41380-023-02352-0