REM sleep behavior disorder (RBD) has a poor prognostic implication in both motor and non-motor functions in Parkinson’s disease (PD) patients. However, to the best of our knowledge no study to date investigated the longitudinal cerebral changes underlying RBD symptoms in PD. We performed the longitudinal study to investigate the association between probable RBD and cortical and subcortical changes in early, de novo PD patients. We studied 78 participants from the Parkinson’s Progression Marker Initiative who underwent structural MRI at baseline and after 2 years. The presence of probable RBD (pRBD) was evaluated using the RBD screening questionnaire. We compared the cross-sectional and longitudinal cortical thickness and subcortical volume changes, between PD patients with and without pRBD. At baseline, we found bilateral inferior temporal cortex thinning in the PD-pRBD group compared with the PD-noRBD group. Longitudinally, the PD-pRBD group revealed a significant increase in the rate of thinning in the left insula compared with the PD-noRBD group, and the increased thinning correlated with decreased cognitive performance. In subcortical volume analyses, the presence of pRBD was linked with volume decrease over time in the left caudate nucleus, pallidum and amygdala. The volume changes in the left caudate nucleus revealed correlations with global cognition. These results support the idea that RBD is an important marker of rapid progression in PD motor and non-motor symptoms and suggest that the atrophy in the left insula and caudate nucleus might be the underlying neurobiological mechanisms of the poorer prognosis in PD patients with RBD.
Rapid eye movement (REM) sleep behavior disorder (RBD), a parasomnia manifested by vivid dreams associated with simple or complex motor behavior during REM sleep, is one of the most common non-motor symptoms in Parkinson’s disease (PD). While the prevalence of RBD is less than 2% in the general population1,2, a recent meta-analysis reported a pooled prevalence of RBD of 42.3% in PD3. Moreover, RBD occurs in up to 25% of de novo PD patients2 and the prevalence increases with disease progression4,5. Increasing evidence has suggested that the presence of RBD in PD patients is associated with severity, and a quicker evolution of motor and non-motor symptoms. PD patients with RBD have worse cognitive performance, higher MCI frequency6,7, and higher rate of future development of dementia8,9 compared with PD patients without RBD. Also, the presence of RBD in PD is associated with faster motor progression10,11, future development of hallucination9,12, autonomic dysfunction and impaired color vision13.
Based on animal studies, RBD is thought to be associated with the dysfunction of a network of brainstem nuclei14. Several cross-sectional neuroimaging studies in PD patients with RBD found structural changes in the brainstem regions, such as reduced signal intensity in the locus coeruleus/subcoeruleus, using neuromelanin-sensitive imaging15 and volume contraction in the pontomesencephalic tegmentum and medullar reticular formation, using deformation-based morphometry (DBM)16. However, studies using diffusion tensor imaging found no differences in brainstem structures in PD patients with RBD compared to those without RBD17,18. Moreover, in a postmortem study of patients with Lewy body disease, there were no differences in either degree of neuronal loss or burden of α-synuclein pathology in the pontine tegmentum, regardless of RBD symptoms during life, suggesting that pathology in the brainstem alone may not be sufficient to cause RBD in PD19.
Although the previous studies have suggested the importance of RBD as a prognostic factor of rapid progression in PD motor and non-motor symptoms and possible mechanisms of RBD in PD patients beyond brainstem structures, little is known about the cerebral changes associated with RBD in PD. Moreover, to our knowledge, no study to date has investigated the effect of the early presence of RBD on the pattern of brain atrophy overtime in PD. As a sensitive marker of gray matter atrophy, cortical thinning has been associated with idiopathic RBD20,21, PD with concomitant RBD22, and a risk of conversion to a Lewy body disorder in idiopathic RBD patients23. Therefore, in this study, we investigated the association between RBD and changes of cortical thickness and subcortical volumes in early, de novo PD patients from the Parkinson’s Progression Markers Initiative (PPMI) project24 (http://www.ppmi-info.org), cross-sectionally and longitudinally. We hypothesized that PD patients with RBD would reveal increased brain atrophy compared to those without RBD, cross-sectionally and longitudinally and that these changes would correlate with their motor and non-motor symptoms.
The demographic and clinical characteristics of the participants included in this study can be found in Table 1. Eighteen PD-pRBD patients and sixty PD-noRBD patients were included in this study. Most of the participants received dopaminergic treatment during follow-up (94% of PD-pRBD and 84% of PD-noRBD; no group difference, Fisher’s exact test, p = 0.441). Part of the participants received medications that can affect RBD symptoms, including antidepressants25,26, beta blockers26, clonazepam, and melatonin. However, there were no significant group differences in the proportions of the use of those medications (Table 1). The PD-pRBD group revealed significant higher SCOPA-AUT scores at baseline and longitudinal increase compared to the PD-noRBD group. There were no group differences in baseline cognitive scores and longitudinal changes of those scores. At baseline, depression and anxiety symptoms in the PD-pRBD were not statistically different from the PD-noRBD group, but longitudinally, the PD-pRBD group revealed increased STAI scores compared with the PD-noRBD group.
Cortical thinning at baseline
The PD-pRBD group revealed a significant thinner cortex in the bilateral inferior temporal cortex compared with the PD-noRBD group (MNI coordinates x = −48, y = −13, z = −39, cluster size = 351 mm3, cluster-wise p = 0.044; x = 57, y = −20, z = −32, cluster size = 512 mm3, cluster-wise p = 0.005; Fig. 1). There were no group differences in volumes of subcortical structures (Table 2). We did not find significant correlations between the mean thickness of the inferior temporal cortex and clinical variables at baseline.
Longitudinal changes in cortical thickness and subcortical volume
The maps of vertex-wise SPC in each group is shown in Fig. 2. The PD-pRBD group showed cortical thinning over time in the precentral and superior parietal cortex bilaterally. The left hemisphere revealed more extend cortical thinning over time in the inferior and superior temporal cortex, insula, precuneus, lateral occipital cortex, caudal middle frontal cortex, and posterior cingulate cortex (Fig. 2a). In the PD-noRBD group, the bilateral precentral, supramarginal and lateral occipital cortex showed cortical thinning over time. In addition, cortical thinning over time in the left superior parietal, cuneus, superior frontal cortex and the right inferior temporal, caudal middle frontal and inferior parietal cortex was found (Fig. 2b). When compared to PD-noRBD group, the PD-pRBD group revealed a significantly increased rate of cortical thinning in the left insular cortex, compared with the PD-noRBD group (MNI coordinates x = −41, y = −5, z = −20, cluster size = 422 mm3, cluster-wise p = 0.0001; Fig. 2c).
Regarding subcortical volumes, the PD-pRBD group revealed significantly decreased volumes over time in all subcortical structures bilaterally except the left nucleus accumbens and right amygdala and pallidum. The PD-noRBD group also showed decreased volumes over time in the bilateral caudate nucleus, hippocampus and putamen, and right thalamus, while the right pallidum and thalamus revealed relatively increased volume over time. In the group comparison analyses, the longitudinal decrease of the left caudate nucleus, pallidum and amygdala volumes in the PD-pRBD group was significantly greater than in the PD-noRBD group (Table 2).
The SPC of the significant clusters revealed correlations with clinical variables. The SPC values of left insula cortex positively correlated with changes in HVLT-R recognition discrimination index (rho = 0.310, p = 0.008) and symbol digit modalities test (rho = 0.309, p = 0.008). Also, the SPC values of the left caudate nucleus positively correlated with changes in MoCA (rho = 0.280, p = 0.017) (Fig. 3).
This study investigated the associations between RBD and brain changes in PD cross-sectionally and longitudinally. At baseline, we found bilateral inferior temporal cortex thinning in the PD with pRBD group compared with the PD-noRBD group. Longitudinally, the left insular cortex revealed a significant increase rate of thinning in the PD-pRBD group compared with the PD-noRBD group. Moreover, the increased thinning in the anterior insula correlated with decreased cognitive performances over time. Regarding subcortical volumes, probable RBD was associated with volume decrease in the left caudate nucleus, pallidum and amygdala, over time. The volume changes in the left caudate nucleus revealed a correlation with MoCA score changes.
There are only a few cross-sectional studies of gray matter volume changes associated with RBD symptoms in PD. Previous voxel-based morphometry (VBM) studies have consistently reported smaller volumes in the posterior part of the brain, including temporal and parietal lobe in PD patients with polysomnography (PSG) confirmed RBD18,22,27 or those with pRBD17 compared with PD patients without RBD. One recent study of surface-based cortical thickness changes found significant cortical thinning in the inferior and superior temporal cortex in PD patients with RBD compared with those without RBD22. Our results of bilateral cortical thinning in the bilateral inferior temporal cortex are in line with those previous studies, supporting the importance of the temporal lobe in RBD symptoms even in early, de novo PD.
In terms of the subcortical brain regions, previous studies of PD patients with RBD reported different results, depending on RBD evaluation methods and analysis techniques. VBM studies with PD patients with PSG confirmed RBD reported volume decrease in the hippocampus18 or thalamus28. However, when using vertex-based shape analysis, PD patients with PSG confirmed RBD reported shape contraction in the putamen22. On the other hand, a study using DBM16 found smaller putamen, amygdala and thalamus volumes in de novo PD patients with pRBD, compared with those without RBD. In this study, the PD-pRBD group revealed no differences in the subcortical volumes compared with the PD-noRBD group at baseline. Several factors might explain the discrepancy between our findings and previous studies. In particular, the early stage of our PD patients might limit the detection of subcortical volume differences between PD subgroups. A VBM study of early PD patients found no significant differences in subcortical volumes according to the presence of RBD17. The techniques used to detect volume changes would also be an important factor of the discrepancy. A previous cross-sectional study using PPMI data found significant volume changes in the subcortical areas in PD patients with pRBD compared with those without RBD using DBM16. DBM allows a detection of volume differences in both gray and white matter.
Longitudinally, we found a higher rate of cortical thinning in the left insular cortex in the PD-pRBD group compared with the PD-noRBD group. The insula is considered an integrating hub, linking a variety of functions including sensorimotor processing, social-emotional function, interoceptive function and higher-level cognitive processes29. According to Braak’s staging hypothesis of PD progression, the insula is one of the first and most affected cortical regions by alpha-synuclein deposition30. A meta-analysis of functional neuroimaging studies in PD found that both the anterior and posterior insula is involved in non-motor functions, including cognitive and affective/behavior, and motor symptoms31. In these respects, it is suggested that dysfunction of the insula plays a crucial role in non-motor symptoms of PD, as well as somatosensory dysfunction32. Moreover, atrophy in the left insula was found in PD patients with mild cognitive impairment (MCI) compared to those with normal cognition, and the atrophy positively correlated with executive-attention deficits33. In RBD patients without neurologic disorders, the presence of MCI was associated with cortical thinning in the bilateral temporal cortex including the insula, and low performance of learning/memory and visuospatial function was correlated to the thinning of these brain regions34. Similar to these previous studies, we found significant correlations between the higher rate of the left insula thinning and decline in cognitive performances over time, including memory and cognitive processing speed. On the other hand, previous studies found that RBD is one of the critical determinants of a diffuse malignant subtype of PD based on a comprehensive spectrum of motor and non-motor symptoms. Despite similar age and disease duration, PD patients with the diffuse malignant subtype showed a more rapid progression in overall prognosis, with greater decline in cognition and other non-motor symptoms, as well as motor symptoms compared to those with other subtypes35. Together, we suggest that the fast rate of the insula thinning in PD patients with pRBD might be an important neuroimaging predictor of poorer prognosis in PD, particularly cognitive decline.
Although there were no subcortical volume differences at baseline, we found significant longitudinal reduction of the volume in the left caudate, pallidum and amygdala in the PD-pRBD group compared with the PD-noRBD group. In a previous neuroimaging study, idiopathic RBD patients revealed contraction in the left pallidum and the shape contraction correlated with their motor performance20. In a longitudinal analysis of PD patients, patients with MCI showed volume loss over time in the amygdala compared to those without MCI, and MoCA score changes over time were associated with the volume reduction36. Also, in this study, the increased atrophy rate in the left caudate nucleus revealed correlation with global cognitive decline, assessed by MoCA score. We suggest that the accelerated volume decrease in subcortical areas in PD patients with pRBD might be associated with their poorer motor and non-motor symptoms compared with those without RBD. Moreover, the insula is highly interconnected with the basal ganglia and amygdala anatomically and functionally37,38,39. Future neuroimaging studies of brain connectivity of the insula and its association with motor and non-motor symptoms in PD patients with RBD could clarify the underlying mechanisms of RBD as a predictor of poor prognosis in PD.
There are some limitations to this study. First, RBD was not confirmed by PSG. Although PSG is the gold-standard for diagnosing RBD, RBDSQ has shown good internal consistency in PD patients and good validity for screening of RBD in this population, with a recommended cut-off of 640,41,42. In this study, we used both the baseline and 2-year follow-up RBDSQ scores and excluded participants if they were classified into a different RBD category at each time point. Therefore, we believe that the longitudinal evaluation of RBDSQ reduces the possibility of misclassification. Second, the PD-pRBD group is relatively small, which might affect the statistical power to detect subtle changes in brain atrophy and non-motor symptom changes. Future longitudinal neuroimaging studies with large cohorts of PD patients with PSG confirmed RBD will be needed.
In summary, RBD in de novo PD patients is associated with cortical thinning in the bilateral inferior temporal cortex cross-sectionally and increased rate of atrophy in the left insula, caudate nucleus, pallidum and amygdala longitudinally. Moreover, the increased atrophy over time correlated with cognitive decline in PD. These results support the idea that RBD is a significant prognostic factor of poor evolution in PD35,43 and suggest that the atrophy in the cortical and subcortical regions, particularly the left insula and caudate, might be the underlying neurobiological mechanisms of the worse prognosis in PD patients with RBD.
The PPMI is a longitudinal multi-site clinical study of de novo individuals with early idiopathic PD24. PD subjects in the study are required to be untreated for PD and have either asymmetric resting tremor or asymmetric bradykinesia, or a combination of two signs of PD, including bradykinesia, resting tremor and rigidity. PD diagnosis was confirmed with dopamine transporter imaging using single-photon emission computed tomography. For this study, we included PD patients older than age 50 at baseline, with 3T MRI data and RBD screening questionnaire (RBDSQ) at both the initial visit and 2-year follow-up. Probable RBD was screened on the basis of the RBDSQ with a cut-off score of 640. PD patients with RBDSQ score ≥6 were considered as probable RBD (PD-pRBD) and those with RBD score <6 were considered as without RBD (PD-noRBD). To avoid possible misclassification, only participants categorized in the same RBD group at both time points were included in this study. A total of 111 PD patients had the RBDSQ and 3T MRI data at both time points. Among them, 26 participants had a different RBD category between each time point. Each participating PPMI site received approval from their local institutional review board and obtained written informed consent from all subjects. This study was approved by the Conjoint Health Research Ethics Board at the University of Calgary.
MRI acquisition and preprocessing
T1-weighted MRI scans were acquired in the sagittal plane on a Siemens MRI scanner at each study site, using a magnetization-prepared rapid-acquisition gradient echo sequence (MPRAGE) (full study protocol: http://www.ppmi-info.org/study-design/research-documents-and-sops/). Images using a non-MPRAGE sequence, such as Spoiled Gradient Echo (SPGR) or a non-Siemens MRI scanner, were excluded in this study.
Each participant’s T1-weighted images were first processed using the FreeSurfer imaging analysis suite (http://surfer.nmr.mgh.harvard.edu/; version 6.0.0). The details of these procedures have been extensively described in prior publications44,45. Briefly, the procedure includes skull stripping, registration to Talairach space, segmentation of subcortical white and gray matter structures, intensity normalization, tessellation of the gray/white matter boundaries, automated topology correction, and surface deformation following intensity gradients to optimally place the gray/white (white matter surface) and gray/CSF (pial surface) borders that most accurately define the transition to the other tissue class. Segmented volumes were visually inspected, and the appropriate manual corrections were performed. Next, images were automatically processed with the longitudinal stream in FreeSurfer, where a within-subject template was created, which allows equal treatment of all input images, thus limiting processing bias associated with the use of a particular time-point as the reference image46. After processing, the longitudinal data was visually compared to ensure corresponding alignment between the two scans. The subcortical structures including bilateral caudate nucleus, putamen, pallidum, nucleus accumbens, hippocampus, amygdala, and thalamus were also segmented in order to obtain their volumes. Seven of 85 PD patients were excluded from the following statistical analyses because of the low quality of FreeSurfer output.
Changes in cortical thickness were measured in terms of symmetrized percent change (SPC), a robust measure recommended by FreeSurfer developers: 100 × [(Thickness at time 2 – Thickness at time 1)/(time 2 – time 1)]/[0.5 × (Thickness at time 1 + Thickness at time 2)]. The cross-sectional and SPC data was smoothed on the surface with a 10-mm FWHM Gaussian kernel.
To evaluate the severity of PD motor symptoms, we used the Movement Disorder Society-sponsored revision of the unified PD rating scale (MDS-UPDRS) III score. Scales for Outcomes in PD-Autonomic dysfunction (SCOPA-AUT) were used to evaluate autonomic symptoms. Cognitive assessments included the Montreal cognitive assessment (MoCA; global cognition), the retention and recognition discrimination index of the Hopkins verbal learning test-revised (HVLT-R; memory), semantic fluency and letter number sequencing (executive function), the Benton judgment of line orientation (visuospatial function), the symbol digit modalities test (cognitive processing speed). Depression, and anxiety were assessed using the geriatric depression scale-15 and state-trait anxiety inventory (STAI), respectively. Longitudinal changes were calculated for all clinical scores as:
The differences in demographical and clinical data between the two groups were analyzed using independent t-test, Mann–Whitney U test and Fisher exact test as appropriate.
First, as an exploratory analysis, one-sample t-tests for each group were performed to test whether the cortical and subcortical SPC was significantly different from zero. Correction for multiple comparisons was ensured by cluster-wise correction using Monte Carlo simulation with 10,000 (cluster-wise probability = 0.05, α = 0.05) for the vertex-wise analysis and false discovery rate (FDR) for the analysis of subcortical structures.
Then, vertex-by-vertex group comparisons in cortical thickness were assessed both cross-sectionally (at baseline) and longitudinally (SPC), using a general linear model. Age, gender and education were included as covariates for all comparisons. In all imaging analyses, cluster-wise correction using Monte Carlo simulation with 10,000 iterations was applied (cluster-wise probability = 0.01, α = 0.05). Volumes of subcortical structures were analyzed in the same manner as the vertex-by-vertex analysis using a general linear model. The estimated total intracranial volume was included as an additional covariate for the cross-sectional volume analysis. Results were considered as statistically significant when surviving the p < 0.05, corrected for multiple comparisons using FDR.
Mean cortical thickness or SPC values at the identified clusters were computed for each participant to perform further correlation analyses with clinical parameters using Spearman’s partial correlation rho while controlling for age, gender, and education.
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
The data underlying this study are third party data. Interested researchers may apply for access to these data at the following link: http://www.ppmi-info.org/access-data-specimens/download-data/.
The cortical thickness and subcortical volume were analyzed using standard processing pipelines in FreeSurfer (http://surfer.nmr.mgh.harvard.edu/; version 6.0.0). The code corresponding to this manuscript is available upon request to the corresponding author.
Chiu, H. F. et al. Sleep-related injury in the elderly–an epidemiological study in Hong Kong. Sleep 23, 513–517 (2000).
Sixel-Doring, F., Trautmann, E., Mollenhauer, B. & Trenkwalder, C. Rapid eye movement sleep behavioral events: a new marker for neurodegeneration in early Parkinson disease? Sleep 37, 431–438 (2014).
Zhang, J., Xu, C. Y. & Liu, J. Meta-analysis on the prevalence of REM sleep behavior disorder symptoms in Parkinson’s disease. BMC Neurol. 17, 23 (2017).
Mollenhauer, B. et al. Monitoring of 30 marker candidates in early Parkinson disease as progression markers. Neurology 87, 168–177 (2016).
Sixel-Doring, F., Trautmann, E., Mollenhauer, B. & Trenkwalder, C. Associated factors for REM sleep behavior disorder in Parkinson disease. Neurology 77, 1048–1054 (2011).
Gagnon, J. F. et al. Mild cognitive impairment in rapid eye movement sleep behavior disorder and Parkinson’s disease. Ann. Neurol. 66, 39–47 (2009).
Jozwiak, N. et al. REM sleep behavior disorder and cognitive impairment in Parkinson’s disease. Sleep 40, zsx101 (2017).
Nomura, T., Inoue, Y., Kagimura, T. & Nakashima, K. Clinical significance of REM sleep behavior disorder in Parkinson’s disease. Sleep. Med. 14, 131–135 (2013).
Postuma, R. B. et al. Rapid eye movement sleep behavior disorder and risk of dementia in Parkinson’s disease: a prospective study. Mov. Disord. 27, 720–726 (2012).
Bugalho, P. & Viana-Baptista, M. REM sleep behavior disorder and motor dysfunction in Parkinson’s disease–a longitudinal study. Parkins. Relat. Disord. 19, 1084–1087 (2013).
Pagano, G. et al. REM behavior disorder predicts motor progression and cognitive decline in Parkinson disease. Neurology 91, e894–e905 (2018).
Sinforiani, E. et al. REM behavior disorder, hallucinations and cognitive impairment in Parkinson’s disease: a two-year follow up. Mov. Disord. 23, 1441–1445 (2008).
Postuma, R. B., Gagnon, J. F., Vendette, M. & Montplaisir, J. Y. Markers of neurodegeneration in idiopathic rapid eye movement sleep behaviour disorder and Parkinson’s disease. Brain 132, 3298–3307 (2009).
Boeve, B. F. et al. Pathophysiology of REM sleep behaviour disorder and relevance to neurodegenerative disease. Brain 130, 2770–2788 (2007).
Garcia-Lorenzo, D. et al. The coeruleus/subcoeruleus complex in rapid eye movement sleep behaviour disorders in Parkinson’s disease. Brain 136, 2120–2129 (2013).
Boucetta, S. et al. Structural brain alterations associated with rapid eye movement sleep behavior disorder in parkinson’s disease. Sci. Rep. 6, 26782 (2016).
Ford, A. H. et al. Rapid eye movement sleep behavior disorder in Parkinson’s disease: magnetic resonance imaging study. Mov. Disord. 28, 832–836 (2013).
Lim, J. S. et al. Neural substrates of rapid eye movement sleep behavior disorder in Parkinson’s disease. Parkins. Relat. Disord. 23, 31–36 (2016).
Dugger, B. N. et al. Neuropathological analysis of brainstem cholinergic and catecholaminergic nuclei in relation to rapid eye movement (REM) sleep behaviour disorder. Neuropathol. Appl. Neurobiol. 38, 142–152 (2012).
Rahayel, S. et al. Abnormal gray matter shape, thickness, and volume in the motor cortico-subcortical loop in idiopathic rapid eye movement sleep behavior disorder: association with clinical and motor features. Cereb. Cortex 28, 658–671 (2018).
Campabadal, A. et al. Cortical gray matter and hippocampal atrophy in idiopathic rapid eye movement sleep behavior disorder. Front. Neurol. 10, 312 (2019).
Rahayel, S. et al. Brain atrophy in Parkinson’s disease with polysomnography-confirmed REM sleep behavior disorder. Sleep 42, zsz062 (2019).
Pereira, J. B. et al. Cortical thinning in patients with REM sleep behavior disorder is associated with clinical progression. NPJ Parkinsons Dis. 5, 7 (2019).
Marek, K. et al. The Parkinson progression marker initiative (PPMI). Prog. Neurobiol. 95, 629–635 (2011).
Wichniak, A., Wierzbicka, A., Walecka, M. & Jernajczyk, W. Effects of antidepressants on sleep. Curr. Psychiatry Rep. 19, 63 (2017).
Gugger, J. J. & Wagner, M. L. Rapid eye movement sleep behavior disorder. Ann. Pharmacother. 41, 1833–1841 (2007).
Kim, H. J. et al. Brain atrophy of secondary REM-sleep behavior disorder in neurodegenerative disease. J. Alzheimers Dis. 52, 1101–1109 (2016).
Salsone, M. et al. Reduced thalamic volume in Parkinson disease with REM sleep behavior disorder: volumetric study. Parkinson. Relat. Disord. 20, 1004–1008 (2014).
Kurth, F., Zilles, K., Fox, P. T., Laird, A. R. & Eickhoff, S. B. A link between the systems: functional differentiation and integration within the human insula revealed by meta-analysis. Brain Struct. Funct. 214, 519–534 (2010).
Braak, H. et al. Stanley Fahn Lecture 2005: The staging procedure for the inclusion body pathology associated with sporadic Parkinson’s disease reconsidered. Mov. Disord. 21, 2042–2051 (2006).
Criaud, M. et al. Contribution of insula in Parkinson’s disease: a quantitative meta-analysis study. Hum. Brain Mapp. 37, 1375–1392 (2016).
Christopher, L., Koshimori, Y., Lang, A. E., Criaud, M. & Strafella, A. P. Uncovering the role of the insula in non-motor symptoms of Parkinson’s disease. Brain 137, 2143–2154 (2014).
Mak, E. et al. Cognitive deficits in mild Parkinson’s disease are associated with distinct areas of grey matter atrophy. J. Neurol. Neurosurg. Psychiatry 85, 576–580 (2014).
Rahayel, S. et al. Cortical and subcortical gray matter bases of cognitive deficits in REM sleep behavior disorder. Neurology 90, e1759–e1770 (2018).
Fereshtehnejad, S. M. et al. New clinical subtypes of Parkinson disease and their longitudinal progression: a prospective cohort comparison with other phenotypes. JAMA Neurol. 72, 863–873 (2015).
Hanganu, A. et al. Mild cognitive impairment is linked with faster rate of cortical thinning in patients with Parkinson’s disease longitudinally. Brain 137, 1120–1129 (2014).
Augustine, J. R. Circuitry and functional aspects of the insular lobe in primates including humans. Brain Res. Rev. 22, 229–244 (1996).
Cauda, F. et al. Functional connectivity of the insula in the resting brain. Neuroimage 55, 8–23 (2011).
Chikama, M., McFarland, N. R., Amaral, D. G. & Haber, S. N. Insular cortical projections to functional regions of the striatum correlate with cortical cytoarchitectonic organization in the primate. J. Neurosci. 17, 9686–9705 (1997).
Nomura, T., Inoue, Y., Kagimura, T., Uemura, Y. & Nakashima, K. Utility of the REM sleep behavior disorder screening questionnaire (RBDSQ) in Parkinson’s disease patients. Sleep. Med. 12, 711–713 (2011).
Chahine, L. M. et al. Questionnaire-based diagnosis of REM sleep behavior disorder in Parkinson’s disease. Mov. Disord. 28, 1146–1149 (2013).
Stiasny-Kolster, K. et al. Diagnostic value of the REM sleep behavior disorder screening questionnaire in Parkinson’s disease. Sleep. Med. 16, 186–189 (2015).
Kim, Y. et al. REM sleep behavior disorder portends poor prognosis in Parkinson’s disease: a systematic review. J. Clin. Neurosci. 47, 6–13 (2018).
Dale, A. M., Fischl, B. & Sereno, M. I. Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage 9, 179–194 (1999).
Fischl, B., Sereno, M. I. & Dale, A. M. Cortical surface-based analysis. II: Inflation, flattening, and a surface-based coordinate system. Neuroimage 9, 195–207 (1999).
Reuter, M., Schmansky, N. J., Rosas, H. D. & Fischl, B. Within-subject template estimation for unbiased longitudinal image analysis. Neuroimage 61, 1402–1418 (2012).
Tomlinson, C. L. et al. Systematic review of levodopa dose equivalency reporting in Parkinson’s disease. Mov. Disord. 25, 2649–2653 (2010).
Data used in the preparation of this article were obtained from the Parkinson’s Progression Markers Initiative (PPMI) database (www.ppmi-info.org/data). For up-to-date information on the study, visit www.ppmi-info.org. PPMI—a public-private partnership—is funded by the Michael J. Fox Foundation for Parkinson’s Research and funding partners, including AbbVie, Allergran, Amathus Therapeutics, Avid Radiopharmaceuticals, Biogen, BioLegend, Bristol-Myers Squibb, Celgene, Denali Therapeutics, GE Healthcare, Genentech, GlaxoSmithKline, Golub Capital, Handl Therapeutics, Insitro, Janssen Neuroscience, Eli Lilly and Company, Lundbeck, Merck, Meso Scale Discovery, Pfizer, Piramal, Prevail Therapeutics, Roche, Sanofi Genzyme, Servier, Takeda, Teva Pharmaceuticals, UCB, Verily and Voyager Therapeutics. This study was funded by the Tourmaline Chair in Parkinson’s disease, and the Canada Research Chair in non-motor deficits in Parkinson’s disease to O.M. The authors would like to thank Jenelle Cheetham and Dr. Iris Kathol for proofreading the manuscript.
The authors declare no competing interests.
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Yoon, E.J., Monchi, O. Probable REM sleep behavior disorder is associated with longitudinal cortical thinning in Parkinson’s disease. npj Parkinsons Dis. 7, 19 (2021). https://doi.org/10.1038/s41531-021-00164-z
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