Brain pathway differences between Parkinson’s disease patients with and without REM sleep behavior disorder

Ansari, Mina; Rahmani, Farzaneh; Dolatshahi, Mahsa; Pooyan, Atefe; Aarabi, Mohammad Hadi

doi:10.1007/s11325-016-1435-8

Cited by 36 publications

(23 citation statements)

References 26 publications

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“…Together, these results support our hypothesis of a unique cross-sectional association between pRBD and worse cognitive performance in nondemented PD patients, although the direction of this relationship remains unclear. These findings are consistent with previous studies associating RBD in PD with poorer verbal learning (Erro et al, 2012;Jozwiak et al, 2017;Vendette et al, 2007) and executive functioning (Jozwiak et al, 2017;Sinforiani et al, 2006;Vendette et al, 2007;Zhang et al, 2016) compared to HCs and/or PD patients without RBD, as well as imaging studies implicating abnormalities in frontal and temporal regions and microstructural pathways subserving these cognitive functions (Ansari, Rahmani, Dolatshahi, Pooyan, & Aarabi, 2017;Ford et al, 2013;Lim et al, 2016).…”

Section: Discussionsupporting

confidence: 92%

REM Sleep Behavior Disorder in Parkinson’s Disease: Effects on Cognitive, Psychiatric, and Functional outcomes

Mahmood

Patten

Nakhla

et al. 2020

J Int Neuropsychol Soc

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Objective: Rapid eye movement sleep behavior disorder (RBD) affects 33–46% of patients with Parkinson’s disease (PD) and may be a risk factor for neuropsychological and functional deficits. However, the role of RBD on neuropsychological functioning in PD has yet to be fully determined. We, therefore, examined differences in neurocognitive performance, functional capacity, and psychiatric symptoms among nondemented PD patients with probable RBD (PD/pRBD+) and without (PD/pRBD−), and healthy comparison participants (HC). Methods: Totally, 172 participants (58 PD/pRBD+; 65 PD/pRBD−; 49 HC) completed an RBD sleep questionnaire, psychiatric/clinical questionnaires, performance-based and self-reported functional capacity measures, and underwent a comprehensive neuropsychological battery assessing attention/working memory, language, visuospatial function, verbal and visual learning and memory, and executive function. Results: Controlling for psychiatric symptom severity, the PD/pRBD+ group had poorer executive functioning and learning performance than the PD/pRBD− group and poorer neuropsychological functioning across all individual cognitive domains than the HCs. In contrast, PD/pRBD− patients had significantly lower scores than HCs only in the language domain. Moreover, PD/pRBD+ patients demonstrated significantly poorer medication management skills compared to HCs. Both PD groups reported greater depressive and anxiety severity compared to HCs; PD/pRBD+ group also endorsed greater severity of apathy compared to HCs. Conclusions: The presence of pRBD is associated with poorer neuropsychological functioning in PD such that PD patients with pRBD have poorer cognitive, functional, and emotional outcomes compared to HC participants and/or PD patients without pRBD. Our findings underscore the importance of RBD assessment for improved detection and treatment of neuropsychological deficits (e.g., targeted cognitive interventions).

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Section: Discussionsupporting

confidence: 92%

REM Sleep Behavior Disorder in Parkinson’s Disease: Effects on Cognitive, Psychiatric, and Functional outcomes

Mahmood

Patten

Nakhla

et al. 2020

J Int Neuropsychol Soc

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“…Secondly, because the frequency of RBD increases as PD progresses , some patients with PD‐cpRBD− in this study might develop RBD later. Thirdly, in addition to motor decline, patients with PD‐cpRBD+ also show faster cognitive decline along with structural brain changes compared to those with PD‐cpRBD− . Therefore, MMSE scores might be lower in the PD‐cpRBD+ group than in the PD‐cpRBD− group at the time of RBDSQ assessment, although those at baseline were comparable between the two groups.…”

Section: Discussionmentioning

confidence: 99%

Rapid eye movement sleep behaviour disorder and striatal dopamine depletion in patients with Parkinson's disease

Chung

Lee

et al. 2017

Euro J of Neurology

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“…As indicated above, previously published studies has investigated connectometry differences in other neurological diseases [24][25][26][27][28][29][30][31][32][33][34], adopting SDF as biomarker of investigation. SDF is a densitybased measurement of diffusion at different orientations and it measures the density of diffusing water, differently from other diffusivity measurements such as Fractional Anisotropy (FA), Apparent Diffusion Coefficient (ADC) and Radial Diffusivity.…”

Section: Discussionmentioning

confidence: 99%

“…The spin distribution function (SDF) is the parameter used for the analysis [23]. This method has been already used for example for the study of Parkinson disease [24][25][26][27][28][29][30], mood disorders [31,32], multiple sclerosis [33] and amyotrophic lateral sclerosis [34].…”

Section: Introductionmentioning

confidence: 99%

Connectometry evaluation in patients undergoing carotid endarterectomy: an exploratory study

Porcu

Craboledda

Garofalo

et al. 2018

Brain Imaging and Behavior

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Introduction: Investigating on brain local connectivity changes following Carotid Endarterectomy (CEA) by connectometry. Methods: In this exploratory study, seventeen subjects (15 males and 2 females, mean age 74.1 years) who underwent CEA, were prospectively recruited. Within one week before the CEA, each patient performed, in the same day, a cognitive evaluation with a Mini Mental State Examination (MMSE) and a Magnetic Resonance (MR) exam that included a DTI sequence for the connectometry analysis. The same cognitive test and MR protocol were performed on follow-up in a period between 3-6 months after CEA. The MMSE scores were analyzed using T-Student test. The connectometry analysis was performed using a multiple regression model in order to consider the effect of CEA, choosing three different T-score threshold values (1, 2 and 3), and results were considered statistically valid when p-value adjusted for False Discovery Rate (p-FDR) < 0.05. Results: Comparison of pre-CEA and post-CEA MMSE scores showed improvement of MMSE scores after CEA (p-value = 0.0001). Connectometry analysis revealed no areas of statistically significant increased connectivity related to CEA for T-threshold value = 1 and 2, whereas for Tthreshold value = 3 the analysis revealed statistically significant increased connectivity after CEA (p-FDR = 0.0106667) in both cerebellar hemispheres and corpus callosum. Conclusion: The results suggest that CEA procedure is associated with both improvements of cognitive performances and changes in both interhemispheric local connectivity through corpus callosum and in cerebellum.

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Brain pathway differences between Parkinson’s disease patients with and without REM sleep behavior disorder

Cited by 36 publications

References 26 publications

REM Sleep Behavior Disorder in Parkinson’s Disease: Effects on Cognitive, Psychiatric, and Functional outcomes

REM Sleep Behavior Disorder in Parkinson’s Disease: Effects on Cognitive, Psychiatric, and Functional outcomes

Rapid eye movement sleep behaviour disorder and striatal dopamine depletion in patients with Parkinson's disease

Connectometry evaluation in patients undergoing carotid endarterectomy: an exploratory study

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