Cognitive deficits in individuals at risk of psychosis represent a significant challenge for research, as current strategies for symptomatic treatment are often ineffective. Recent studies showed that atypical cognitive development predicts the occurrence of psychotic symptoms. Additionally, abnormal brain development is known to predate clinical manifestations of psychosis. Therefore, critical developmental stages may be the best period for early interventions expected to prevent cognitive decline and protect brain maturation. However, it is challenging to identify and treat individuals at risk of psychosis in the general population before the onset of the first psychotic symptoms. 22q11.2 deletion syndrome (22q11DS), the neurogenetic disorder with the highest genetic risk for schizophrenia, provides the opportunity to prospectively study the development of subjects at risk for psychosis. In this retrospective cohort study, we aimed to establish if early treatment with SSRIs in children and adolescents with 22q11DS was associated with long-term effects on cognition and brain development. We included 98 participants with a confirmed diagnosis of 22q11DS followed up 2–4 times (age range: 10–32). Thirty subjects without psychiatric disorders never received psychotropic medications, thirty had psychotic symptoms but were not treated with SSRIs, and 38 received SSRIs treatment. An increase in IQ scores characterized the developmental trajectories of participants receiving treatment with SSRIs, even those with psychotic symptoms. The thickness of frontal regions and hippocampal volume were also relatively increased. The magnitude of the outcomes was inversely correlated to the age at the onset of the treatment. We provide preliminary evidence that early long-term treatment with SSRIs may attenuate the cognitive decline associated with psychosis in 22q11DS and developmental brain abnormalities.
Cognitive impairment, including working memory deficits, is increasingly recognized as a core feature of psychosis and plays a crucial role in the overall disability1,2. Recent studies have highlighted that cognitive deficits early in development might have far-reaching implications for the emergence of a full-blown psychotic disorder3,4. Not only premorbid atypical cognitive development precedes the emergence of the first psychotic symptoms, but it also predicts their later severity5. Furthermore, genetic studies demonstrated that part of the total risk variance for schizophrenia is explained by lower IQ and smaller brain volume, suggesting that abnormal brain maturation underlying cognitive decline might represent the earliest expression of the risk for psychosis3. Consequently, early interventions expected to prevent cognitive decline are more likely to be effective during postnatal critical developmental stages, as supported by studies in mice6,7. However, despite promising translational evidence, to the best of our knowledge, no research in humans has ever considered the impact of early treatment during critical stages of brain development in individuals at risk for psychosis. One of the factors most likely contributing to such lack of studies in humans is the extreme difficulty in identifying individuals at risk for psychosis in the general population before the onset of the first psychotic symptoms, intervene, and follow them up over time.
22q11.2 deletion syndrome (22q11DS) is a neurogenetic disorder characterized by cognitive deficits and high risk for psychosis, with up to 41% of deletion carriers developing a psychotic disorder by adulthood8. Studying 22q11DS offers the opportunity to identify critical time windows for intervention and intervene during the premorbid phase of psychosis. The phenomenology of psychotic symptoms and the predictive value of ultra-high risk criteria in 22q11DS are comparable to those of individuals with idiopathic psychosis9,10. Moreover, neuroimaging and genetic findings point to a shared neurobiological vulnerability between 22q11DS and idiopathic psychosis11,12,13. Similar to subjects at risk for schizophrenia in the general population, deletion carriers undergo cognitive decline and abnormal brain development before the emergence of psychotic symptoms. A low IQ before the onset of adolescence predates the emergence of psychotic symptoms and cognitive decline—especially in the domain of verbal IQ—is higher in individuals who develop a psychotic disorder14. These findings are mirrored by abnormal brain development of cortical and subcortical structures. Deletion carriers with comorbid psychotic symptoms have thinner frontal, temporal and cingulate cortices with altered developmental trajectories of cortical maturation11,15. Likewise, many studies indicated that psychosis in 22q11DS is associated with lower volume of frontal and temporal areas16,17 and subcortical structures as hippocampus, thalamus, and amygdala18,19,20.
Given these premises, it is evident that individuals with 22q11DS have a remarkably complex neural phenotype, whereby the risk for psychosis is strictly intertwined with cognition and brain maturation. Less clear is how to translate these findings into clinical practice. Currently, there is no gold standard treatment for individuals at risk for psychosis that can ameliorate cognitive abilities and protect neural development21,22. Such a treatment would be even more relevant for individuals with 22q11DS, due to the baseline cognitive impairment.
A candidate drug class that may theoretically exert a neuroprotective effect on brain development and attenuate cognitive decline is that of selective serotonin reuptake inhibitor (SSRIs). SSRIs increase serotonin levels by limiting its reuptake at synaptic cleft level with broad effects on action selection, mood, cognition, and learning23. The behavioral effects of SSRIs are thought to be mediated by postnatal neurogenesis in the hippocampus and increased brain-derived neurotrophic factor (BDNF) signaling, leading to enhanced neuronal plasticity24,25,26. Chronic administration of SSRIs can reactivate juvenile-like plasticity even after the end of critical developmental periods, suggesting new possibilities for intervention in neurodevelopmental disorders27,28,29,30.
In human research, growing evidence indicates that treatment with SSRIs can improve cognition and memory performance in psychotic patients, and additionally reduce the burden of negative symptoms in chronic schizophrenia31,32,33. Moreover, successful treatment with SSRIs is accompanied by increased hippocampal volume and frontal and orbitofrontal thickness in patients with major depression34,35,36. Thus, treatment with SSRIs may potentially rescue cognitive decline and abnormal brain development observed in 22q11DS by reducing processes of atrophy and accelerated cortical thinning. Therefore, based on the putative neuroprotective action of SSRIs, the present study aimed to retrospectively investigate the potential effects of long-term SSRIs treatment on cognition and brain development in a longitudinal sample of youths with 22q11DS.
Materials and methods
Participants and assessment
At present, the 22q11DS Swiss cohort counts around 200 participants followed-up approximately every 3 years, with a broad age range spanning from 5 to 35 years. All the participants underwent at each visit the administration of neuropsychological testing including the Weschler Adult Intelligence Scale (WAIS-III and WAIS-IV)37 or the Weschler Intelligence Scale for Children (WISC-III and WISC-IV)38 in order to evaluate general intelligence and reasoning abilities over time and Conner’s Continuous Performance Test (CPT-2 and CPT-3)39 to assess attention and impulsivity. Regarding intellectual functioning, over the years to fit the longitudinal design, different versions of the test (version III or IV) were used between participants, but the same version was kept within the participant between visits. To merge different versions of the subtest, we selected measures available in all the batteries, such as Vocabulary, Information, Similarities, Digit Span, Block Design, and Matrix reasoning.
A comprehensive clinical interview using either the Diagnostic Interview for children and adolescents (DICA)40 aimed at DSM-IV diagnoses from age 6–18 or the Structured Clinical Interview for DSM-IV axis I Disorders (SCID-II)41 and the Structured Interview for Prodromal Syndromes (SIPS)42 was performed at each visit by the same psychiatrist (SE). Besides, the Child Behavior Checklist (CBCL)43 or the Adult Behavior Checklist (ABCL)44 was completed by the parents of the participants. Information regarding the current medications, including the generic name of the drug, the dosage, the onset and the overall length of the treatment were gathered by a trained clinician to have a comprehensive picture of the medication status over time. Additionally, T1-weighted brain scans were acquired at each visit.
According to previous studies investigating the effects of SSRIs, we selected three outcome measures: IQ, cortical thickness (CT), and hippocampal volume. We retrospectively examined the medical records of the 22q11DS Swiss cohort and selected individuals with at least one visit before and after the prescription of SSRIs. Details on the types of SSRIs are provided in Table 1.
Three age-matched groups of 22q11DS having multiple visits were included:
Participants treated with SSRIs (comprising deletion carriers with and without psychotic symptoms);
participants without any psychiatric diagnosis nor treatment with psychotropic medications;
participants with psychotic symptoms who were never treated with SSRIs.
Although the design of the study is not ideally suited to investigate the effect of a given medication, we have taken several steps to control for confounding variables, comprising the inclusion of subjects with chronic treatment with SSRIs (i.e., length >1.5 years) and the exclusion of individuals with 22q11DS having psychiatric comorbidities other than depression, anxiety and psychotic disorders (such as obsessive-compulsive and autism disorders) in the groups of subjects treated with SSRIs. The presence of any psychiatric condition and any treatment with psychotropic medications was an exclusion criterion for the group without SSRIs treatment. We additionally ensured an age-range spanning from puberty to early adulthood, with no differences across groups. Further details on the inclusion and exclusion criteria are available in the flow chart in the SI.
Written informed consent was obtained from participants and/or their parents if minors. The study was approved by the cantonal ethics committee and conducted according to the Declaration of Helsinki.
MRI acquisition and analysis
Due to the broad time span of this study, the T1-weighted scans were acquired with two different 3T scanners: a Siemens Trio was used for the first 152 scans and a Siemens Prisma for the remaining 81 scans at the Center for Biomedical Imaging in Geneva. Even though the proportion of scans with each MRI scanner did not differ between the groups tested, the scanner type was entered as covariates in all the analyses in order to avoid confounding factors. The parameters for the acquisition of structural images for the T1-weighted MPRAGE sequence were TR = 2500 ms, TE = 3 ms, flip angle = 8°, acquisition matrix = 256 × 256, field of view = 23.5 cm, voxel size = 0.9 × 0.9 × 1.1 mm and 192 slices.
T1-weighted images underwent fully automated image processing with the software FreeSurfer version 6.0 (https://surfer.nmr.mgh.harvard.edu), comprising skull stripping, intensity normalization, reconstruction of internal and external cortical surfaces and parcellation of subcortical brain regions45.
The labeling of hippocampal subfields was obtained by mean of a segmentation technique published with Freesurfer v.6.046, and the quality control of the segmentation was performed as described in detail in our previous study19. CT was computed as the shortest distance between the white and the pial cortical surfaces15,47. Then, average measures of volume and CT were extracted from 68 regions based on the Desikan parcellation48.
Mixed effects model analyses
Differences in the developmental trajectories of cognitive and brain measures between the groups were estimated with a mixed model approach (https://github.com/danizoeller/myMixedModelsTrajectories) described in previous studies19,49. Briefly, population parameters, such as age and treatment, were modeled as fixed effects and within-subject factors as random effects with the function nlmefit in MATLAB R2018a (Mathworks). Developmental trajectories were computed by fitting random slope models to the data, taking into account both within-subject and between-subject effects and the most suitable model order was selected by mean of the Bayesian information criterion. P-values were adjusted for multiple testing with the Benjamini-Hochberg false discovery rate correction (FDR). More details on this statistical approach are available in the SI. Similar to previous studies, we reported FDR corrected p-values and measures of effect size as ß-values for the intercept and the slope in each group20,50.
To test the correlation between the increase of a variable of interest (e.g., IQ or any brain measure) and factors such as the dosage of the drug or the age of the beginning of the therapy we employed the fitlme function in MATLAB. The dosage of antipsychotics was calculated using chlorpromazine equivalence for AAP51, while employing fluoxetine equivalence for antidepressants52. The results were finally covaried for sex, and intracranial volume (ICV) and scan type when indicated and finally adjusted for multiple comparisons.
Characteristics of the sample
The overall number of deletion carriers included in the present study was 98 (30 without any medication, 38 treated with SSRIs, of which 23 endorsing psychotic symptoms, and 30 psychotics not treated with SSRIs) with 264 visits and an average of 2.78 visits for each subject (range 2–4). Nineteen deletions carriers received a diagnosis of “schizophrenia and other psychotic disorders” according to DSM-IV, and other 34 subjects presented attenuated psychotic symptoms assessed using the SIPS. Additionally, 28 deletion carriers were diagnosed with major depressive disorders and 23 with anxiety disorders, with 14 subjects having a combination of them. Further details on the demographic and clinical features of the groups are listed in Table 1. Clinical and neuropsychological data were available for all the subjects and all the time-points; however, neuroimaging data, after quality control procedures, were available only for 233 visits (89 subjects).
Differences in IQ developmental trajectories
Differences in developmental trajectories of cognitive and brain measures were computed across groups and subgroups to explore the potential effect of SSRIs on development.
We first estimated the developmental trajectories of standardized IQ measures comprising Full-Scale IQ (FSIQ), Verbal IQ (VIQ), and Performance IQ (PIQ), obtaining a linear model. Deletion carriers treated with SSRIs exhibited a lower IQ at baseline, but a progressive increase in IQ scores over time with respect to deletion carriers not treated with any medication(FSIQ: 0.53 vs −0.28 points per year; VIQ: 0.15 vs −0.75 points per year; PIQ: 0.89 vs −0.04 points per year; Fig. 1, Table 2).
Similarly, IQ measures tended to increase over time in deletion carriers with psychotic symptoms treated with SSRIs but not in the group of deletion carriers with psychotic symptoms not treated with SSRIs (FSIQ: 0.73 vs −0.72 points per year; VIQ: 1.03 vs −0.73 points per year; PIQ: 0.23 vs −0.68 points per year; Fig. 1, Table 3).
Among the joint subtests of the WAIS and WISC we found the same pattern of results for the subtests Vocabulary, a measure of lexical knowledge. We additionally tested measures for attention and impulsivity by using CPT (omission errors, commission errors, and hit reaction time), but we did not find any statistically significant difference across groups.
Differences in developmental trajectories of brain morphometry
We compared the developmental trajectories of the volume of hippocampal subfields across groups and detected a statistically significant difference in right DG and CA3 subfields between deletion carriers treated and not treated with SSRIs (Fig. 2, Table 2) and in right CA3 and CA4 between psychotic deletion carriers treated and not treated with SSRIs (Fig. 2, Table 3). As in prior publications, the trajectories had a second-order model, meaning that the relationship between age and hippocampal volume was quadratic19,53.
Finally, we tested the divergence of developmental trajectories of cortical thickness (CT), obtaining a linear model. Differences in CT between deletion carriers treated and not treated with SSRIs were found in frontal and temporal regions, whereas CT differences between psychotic deletion carriers treated and not treated with SSRIs were found in frontal regions only (Fig. 3). Overall, volume and CT of individuals not treated with SSRIs tended to decrease over time, in contrast to those treated with SSRIs. Significant FDR corrected p-values, log-likelihood ratio for group effect and slope (group × age interaction) and intercept and slope values are listed in Tables 2 and 3. Uncorrected and corrected p-values for all the measures tested can be found in the SI (Tables 1, 2).
Correlations of the outcomes with measures of interest related to the treatment
We further explored the correlation between either the increase in IQ or brain measures and factors potentially contributing to the observed results such as the age of the onset, the dosage, and the duration of the treatment with SSRIs. The increase of each variable was computed as the subtraction between the value at one time-point and the previous one. A negative correlation was found between the age of the onset of SSRIs treatment and VIQ increase (p-value = 0.028, R = −0.35) and a trend for FSIQ (p-value = 0.057, R = −0.16). We didn’t find any correlation between the dosage normalized per kg of body weight and duration of the treatment and outcome measures. No statistically significant correlations were found between any of the brain measures and the variables of interest. The only variable correlated to the cognitive outcomes was the age of the beginning of the treatment.
Comparison between subgroups treated with SSRIs alone or in combination with atypical antipsychotics
Finally, we explored differences in IQ, CT, and hippocampal volume between deletion carriers treated with SSRIs alone or in combination with atypical antipsychotics (AAP). The results of this exploratory analysis and the relative discussion are available in the SI (Figs. 1–3, Supplementary Table 3, Supplementary Table 4).
To our knowledge, this is the first cohort study exploring the long-term cognitive and neural correlates of early treatment with SSRIs in a population at risk of psychosis. Here we showed that long-term treatment with SSRIs may improve cognitive performances and have a favorable effect on brain development in 22q11.2 deletion carriers.
While all the deletion carriers tend to experience a decrease in IQ from childhood to adulthood, patients with psychotic symptoms are generally characterized by a steeper cognitive decline14. Conversely, in our sample, all the patients treated with SSRIs—even those endorsing psychotic symptoms—revealed a relative IQ increase over time. Strikingly, although VIQ has been shown to decrease to a greater extent in psychotic deletion carriers by previous studies14, we showed VIQ increase in psychotic deletion carriers treated with SSRIs. When analyzing the WISC/WAIS subscales, we found that these results were mostly driven by subtests related to verbal comprehension and long-term verbal memory.
We additionally investigated the effects of SSRIs treatment on the neural substrates underlying cognition. The SSRIs had a favorable impact on the development of some subfields of the hippocampus, notably DG, CA3, and CA4. Individuals with 22q11DS and comorbid positive psychotic symptoms experience hippocampal atrophy during late adolescence, and DG, CA3, and CA4 are among the most affected subfields19. However, our results suggest that treatment with SSRIs may mitigate hippocampal volume loss. Likewise, SSRIs treatment was associated with a potential attenuation of cortical maturation abnormalities related to psychosis. Specifically, our data pointed to a moderate reduction of cortical thinning in frontal areas, especially at the level of the middle frontal cortex.
Overall, these cortical morphometry findings align with previous studies showing the increase of hippocampal volume and thickening of frontal and cingulate regions after SSRIs treatment34,35, suggesting that enhanced neurotrophic synthesis may reverse processes of cortical thinning and atrophy even in deletion carriers with psychotic symptoms54,55,56. Therefore, long-term treatment with SSRIs seems to have a selective effect on intellectual functioning and the maturation of a specific network comprising frontal and limbic brain regions. A tentative explanation for our results is that SSRIs might protect brain development from exacerbated volume loss and cortical thinning, possibly ameliorating cognitive functions related to long-term memory.
We tested the potential effects of clinical variables such as the duration, dosage, and age of the onset of the treatment. However, we did not find any significant dose-response relationship. Strikingly, the only factor correlated with the IQ increase was the younger age at the treatment onset. This finding is in line with current neurodevelopmental theories stating that the vulnerability for psychiatric disorders is rooted in the exacerbation of major brain changes normally taking place during adolescence1,57,58,59,60. Consequently, premorbid interventions during critical developmental periods may be more effective than symptomatic treatment after the emergence of the first clinically relevant symptoms.
Moreover, this interpretation is supported by current research in the field of neuropharmacology. SSRIs have a broad neuroprotective effect, partially depending on the increase of BDNF levels and the enhancement of baseline neurogenesis in the hippocampus, with favorable consequences for neural plasticity24,61,62,63. Although it is well known that the effects of SSRIs in humans are delayed over time, there is new evidence directly linking the activation of the BDNF receptor implied in activity-dependent synaptic plasticity and the maturation of neural circuits to the subsequent clinical effects of antidepressants64,65. Additionally, recent studies in mice revealed promising neurodevelopmental outcomes. The administration of SSRIs during adolescence has been shown to improve memory and learning abilities and increase the size of the hippocampus and cortical regions by acting on the number of neurons and dendritic spine density, with long-lasting effects7. Therefore, our preliminary results suggest that the neuroprotective effect of SSRIs treatment in individuals at risk for psychosis is potentially greater during adolescence.
Our study comes with several limitations. First, the sample size is not remarkably large; however, considering that 22q11DS is a rare neurogenetic disorder and it is challenging to find longitudinally assessed participants without any medication or selective exposure to a given type of medication, the sample presented in this study is unique. Second, due to the longitudinal nature of our study, the methods employed to assess the population were heterogeneous (i.e., two types of scanner and different versions of tests). Consequently, we added these variables as covariates in all the analyses, and we additionally verified that there were no differences in the rate of each assessment method in each group (Supplementary Table 5).
Third, the design of the study does not allow to control for the confounding factors, as well as other types of studies, such as randomized, double-blind clinical trials. Nonetheless, we have taken several steps to control for confounding factors, as detailed in the SI. Moreover, we analyzed long-term follow-up data, which are extremely rare in medication studies. Future prospective studies are needed to confirm our results.
In conclusion, we provided preliminary evidence for a neuroprotective effect of SSRIs on cognition and the attenuation of cortical thinning of brain regions implied in higher-order cognitive functions in 22q11DS. As individuals with 22q11DS—especially those endorsing psychotic symptoms—have pervasive cognitive deficits, even moderate reductions of intellectual disability might be relevant. Moreover, despite the high number of comorbidities, antidepressants safety profile in 22q11DS is comparable to that of non-deleted individuals66. Therefore, should the results of our study be confirmed in independent cohorts, long-term treatment with low dosages of SSRIs may be indicated, especially in subjects with low IQ.
Finally, our preliminary findings might pave the way for new research lines aimed at exploring the effects of SSRIs in youths at clinical risk for schizophrenia. Early intervention during critical developmental stages may potentially become a promising strategy for individuals with early-life cognitive impairment at risk for psychosis.
Insel, T. R. Rethinking schizophrenia. Nature 468, 187–193 (2010).
Green, M. F. Cognitive impairment and functional outcome in schizophrenia and bipolar disorder. J. Clin. Psychiatry 67, 3–8 (2006).
Kahn, R. S. On the Origins of Schizophrenia. Am. J. Psychiatry 177, 291–297 (2020).
Reichenberg, A. et al. Static and dynamic cognitive deficits in childhood preceding adult schizophrenia: A 30-year study. Am. J. Psychiatry 167, 160–169 (2010).
Dickinson D., Giangrande E. J., Eisenberg D. P., Gregory M. D. & Berman K. F. Distinct polygenic score profiles in schizophrenia subgroups with different trajectories of cognitive development. Am J Psychiatry. 177, 298–307 (2020).
Mukherjee A., Carvalho F., Eliez S. & Caroni P. Long-lasting rescue of network and cognitive dysfunction in a genetic schizophrenia model article long-lasting rescue of network and cognitive dysfunction. Cell. 178, 1387-1402.e14 (2019).
Sun D. et al. Fluoxetine administration during adolescence attenuates cognitive and synaptic deficits in adult 3×TgAD mice. Neuropharmacology https://doi.org/10.1016/j.neuropharm.2017.08.037 (2017).
Schneider, M. et al. Psychiatric disorders from childhood to adulthood in 22q11.2 deletion syndrome: results from the International Consortium on Brain and Behavior in 22q11.2 deletion syndrome. Am. J. Psychiatry 171, 627–639 (2015).
Tang S. X. et al. The psychosis spectrum in 22q11.2 deletion syndrome is comparable to that of nondeleted youths. Biol Psychiatry https://doi.org/10.1016/j.biopsych.2016.08.034 (2017).
Schneider, M. et al. Ultra high risk status and transition to psychosis in 22q11.2 deletion syndrome. World Psychiatry 15, 259–265 (2016).
Sun D. et al. Large-scale mapping of cortical alterations in 22q11. 2 deletion syndrome: convergence with idiopathic psychosis and effects of deletion size. Mol. Psychiatry https://doi.org/10.1038/s41380-018-0078-5 (2017).
Cleynen I. et al. Genetic contributors to risk of schizophrenia in the presence of a 22q11. 2 deletion. Mol. Psichiatr. https://doi.org/10.1038/s41380-020-0654-3 (2020).
Zinkstok, J. R. et al. Neurobiological perspective of 22q11. 2 deletion syndrome. Lancet Psychiatry 380, 1–10 (2019).
Vorstman J. A. S. et al. Cognitive decline preceding the onset of psychosis in patients with 22q11.2 deletion syndrome. JAMA Psychiatry 72, 377–385 (2015).
Padula M. C. et al. Cortical morphology development in patients with 22q11. 2 deletion syndrome at ultra-high risk of psychosis. Psychol. Med. 48, 2375–2383 (2019).
Schmitt, J. E. et al. Archival report aberrant cortical morphometry in the 22q11. 2 deletion syndrome. Biol. Psychiatry 78, 135–143 (2015).
Chow E. W. C. et al. Association of schizophrenia in 22q11.2 deletion syndrome and gray matter volumetric deficits in the superior temporal gyrus. Am J Psychiatry. 168, 522–529 (2011).
Ching C. R. K. et al. Mapping subcortical brain alterations in 22q11. 2 deletion syndrome: effects of deletion size and convergence with idiopathic neuropsychiatric illness. Am J Psychiatry. 177, 589–600 (2020).
Mancini, V. et al. Positive psychotic symptoms are associated with divergent developmental trajectories of hippocampal volume during late adolescence in patients with 22q11DS. Mol. Psychiatry 25, 2844–2859 (2020).
Mancini, V., Zöller, D., Schneider, M., Schaer, M. & Eliez, S. Abnormal development and dysconnectivity of distinct thalamic nuclei in patients with 22q11.2 deletion syndrome experiencing auditory hallucinations. Biol. Psychiatry Cogn. Neurosci. Neuroimaging. 5, 875–890 (2020).
Lett T. A., Voineskos A. N., Kennedy J. L., Levine B. & Daskalakis J. Treating working memory deficits in schizophrenia: a review of the neurobiology. Biol Psychiatry. 75, 361–370. (2014).
Gold, J. M. Cognitive deficits as treatment targets in schizophrenia. Schizophr. Res. 72, 21–28 (2004).
Roberts C., Sahakian B. J. & Robbins T. W. Psychological mechanisms and functions of 5-HT and SSRIs in potential therapeutic change: lessons from the serotonergic modulation of action selection, learning, affect, and social cognition. Neurosci Biobehav Rev. 119, 138-167 (2020).
Santarelli L. et al. Requirement of hippocampal neurogenesis for the behavioral effects of antidepressants. Science 301, 805–809 (2003).
Boldrini M. et al. Antidepressants increase neural progenitor cells in the human hippocampus. Neuropsychopharmacology 34, 2376–2389 (2009).
Chottekalapanda R. U. et al. AP-1 controls the p11-dependent antidepressant response. Mol. Psychiatry 25,1364–1381 (2020).
Vetencourt, J. F. M. et al. The antidepressant fluoxetine restores plasticity in the adult visual cortex. Science 320, 385–388 (2008).
Vetencourt, J. F. M., Tiraboschi, E., Spolidoro, M., Castrén, E. & Maffei, L. Serotonin triggers a transient epigenetic mechanism that reinstates adult visual cortex plasticity in rats. Eur. J. Neurosci. 33, 49–57 (2011).
Castrén, E., Elgersma, Y., Maffei, L. & Hagerman, R. Treatment of neurodevelopmental disorders in adulthood. J. Neurosci. 32, 14074–14079 (2012).
Steinzeig, A., Cannarozzo, C. & Castrén, E. Fluoxetine-induced plasticity in the visual cortex outlasts the duration of the naturally occurring critical period. Eur. J. Neurosci. 50, 3663–3673 (2019).
Monleón, S., Vinader-Caerols, C., Arenas, M. C. & Parra, A. Antidepressant drugs and memory: Insights from animal studies. Eur. Neuropsychopharmacol. 18, 235–248 (2008).
Silver, H. et al. Improvement in verbal memory following SSRI augmentation of antipsychotic treatment is associated with changes in the expression of mRNA encoding for the GABA-A receptor and BDNF in PMC of schizophrenic patients. Int. Clin. Psychopharmacol. 30, 158–166 (2015).
Singh, S. P., Singh, V., Kar, N. & Chan, K. Efficacy of antidepressants in treating the negative symptoms of chronic schizophrenia: Meta-analysis. Br. J. Psychiatry 197, 174–179 (2010).
Bartlett E. A. et al. Pretreatment and early-treatment cortical thickness is associated with SSRI treatment response in major depressive disorder. Neuropsychopharmacology 43, 2221–2230 (2018).
Phillips J. L., Batten L. A., Tremblay P., Aldosary F. & Blier P. A prospective, longitudinal study of the effect of remission on cortical thickness and hippocampal volume in patients with treatment-resistant depression. Int. J. Neuropsychopharmacol. 18, pyv037 (2015).
Kong L. et al. Frontal-subcortical volumetric deficits in single episode, medication-naïve depressed patients and the effects of 8 weeks fluoxetine treatment:A VBM-DARTEL study. PLoS ONE. 9, e79055 (2014).
Weschler D. Wechsler Adult Intelligence Scale-IV: administration and scoring manual (Psychological Corporation, 2011).
Weschler D. The Wechsler intelligence scale for children, 4th edn (Pearson Assesment, 2004).
Conners C. K. & MHS Staff. Conners Continuous Performance Test,3rd edn, Technical manual. (Multi-Health Systems, 2014).
Reich W. Diagnostic interview for children and adolescents (DICA). J Am Acad Child Adolesc Psychiatry. 39: 59–66 (2000).
Gorgens K. A. Structured clinical interview For DSM-IV (SCID-I/SCID-II). Encycl Clin Neuropsychol. New York, NY: Springer New York, pp 2410–2417 (2011).
Miller T. J. et al. Prodromal assessment with the structured interview for prodromal syndromes and the scale of prodromal symptoms: predictive validity, interrater reliability, and training to reliability. Schizophr. Bull. 29, 703–716 (1995).
T. M. A. Manual for the Child Behavior Checklist/4-18 and 1991 Profile (Univ Vermont Dep Psychiatry, Burlington, NJ., 1992).
Achenbach, T. M. & Rescorla, L. A. Manual for the ASEBA Adult Forms & Profiles (Univ Vermont, Res Cent Child Youth, Fam Burlington, VT, 2003).
Dale, A. M., Fischl, B. & Sereno, M. I. Cortical surface-based analysis. Neuroimage 9, 195–207 (1999).
Iglesias J. E. et al. A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI. Neuroimage https://doi.org/10.1016/j.neuroimage.2015.04.042 (2015).
Fischl B. & Dale A. M. Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc. Natl Acad. Sci. USA 97, 11050–11055 (2000).
Desikan R. S. et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 31, 968–980 (2006).
Mutlu, A. K. Sex differences in thickness, and folding developments throughout the cortex. Neuroimage 82, 200–207 (2013).
Franchini M. et al. Early adaptive functioning trajectories in preschoolers with autism spectrum disorders. J. Pediatr. Psychol. 43, 800–813 (2018).
Woods, S. Chlorpromazine equivalent doses for the newer atypical antipsychotics. J. Clin. Psychiatry 64, 663–667 (2003).
Hayasaka, Y. et al. Dose equivalents of antidepressants: evidence-based recommendations from randomized controlled trials. J. Affect Disord. 180, 179–184 (2015).
Krogsrud, S. K. et al. Development of hippocampal subfield volumes from 4 to 22 years. Hum. Brain Mapp. 35, 5646–5657 (2014).
Fossati P., Radtchenko A., Boyer P. Neuroplasticity: from mri to depressive symptoms. Eur. Neuropsychopharmacol. https://doi.org/10.1016/j.euroneuro.2004.09.001 (2004).
Ohira, K., Takeuchi, R., Shoji, H. & Miyakawa, T. Fluoxetine-induced cortical adult neurogenesis. Neuropsychopharmacology 38, 909–920 (2013).
Ohira, K., Hagihara, H., Miwa, M., Nakamura, K. & Miyakawa, T. Fluoxetine-induced dematuration of hippocampal neurons and adult cortical neurogenesis in the common marmoset. Mol. Brain 12, 1–10 (2019).
Paus, T., Keshavan, M. & Giedd, J. N. Why do many psychiatric disorders emerge during adolescence? Nat. Rev. Neurosci. 9, 947–957 (2008).
Blakemore, S. J. Imaging brain development: the adolescent brain. Neuroimage 61, 397–406 (2012).
Sawyer, S. M. et al. Adolescence: a foundation for future health. Lancet 379, 1630–1640 (2012).
Tau, G. Z. & Peterson, B. S. Normal development of brain circuits. Neuropsychopharmacology 35, 147–168 (2010).
Dranovsky, A. & Hen, R. Hippocampal Neurogenesis: Regulation by Stress and Antidepressants. Biol. Psychiatry 59, 1136–1143 (2006).
Yang, T. et al. The role of BDNF on neural plasticity in depression. Front Cell Neurosci. 14, 1–12 (2020).
Levy, M. J. F. et al. 5-HTT independent effects of fluoxetine on neuroplasticity. Sci. Rep. 9, 1–11 (2019).
Casarotto, P. C. et al. Antidepressant drugs act by directly binding to TRKB neurotrophin receptors. Cell 184, 1299–1313 (2021). e19.
Park, H. & Poo, M. M. Neurotrophin regulation of neural circuit development and function. Nat. Rev. Neurosci. 14, 7–23 (2013).
Dori, N., Green, T., Weizman, A. & Gothelf, D. The effectiveness and safety of antipsychotic and antidepressant medications in individuals with 22q11.2 deletion syndrome. J. Child Adolesc. Psychopharmacol. 27, 83–90 (2017).
We would like to thank all the families who contributed to the study, as well as the family associations (Génération 22, Connect 22, Relais 22) for their ongoing support. Special thanks go to Virginie Pouillard and Eva Micol for coordinating the project and to the MRI operators at the Center of Biomedical Imaging, Franco̧is Lazeyras, Lydia Dubourg, and Joëlle van der Molen for their help in scanning. This work was supported by research grants from the Swiss National Science Foundation (grant numbers 320030_179404, 324730_144260 to S.E.) and The National Centre of Competence in Research (NCCR) “Synapsy—The Synaptic Bases of Mental Diseases” (grant number 51NF40–185897 to S.E.).
Conflict of interest
The authors declare no competing interests.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Mancini, V., Maeder, J., Bortolin, K. et al. Long-term effects of early treatment with SSRIs on cognition and brain development in individuals with 22q11.2 deletion syndrome. Transl Psychiatry 11, 336 (2021). https://doi.org/10.1038/s41398-021-01456-x