Intrinsic functional connectivity changes in drug-naïve Parkinson's disease patients with mild cognitive impairment

AbstractDynamic functional connectivity captures temporal variations of functional connectivity during MRI acquisition and it may be a suitable method to detect cognitive changes in Parkinson’s disease. In this study, we evaluated 118 patients with Parkinson’s disease matched for age, sex and education with 35 healthy control subjects. Patients with Parkinson’s disease were classified with normal cognition (n = 52), mild cognitive impairment (n = 46), and dementia (n = 20) based on an extensive neuropsychological evaluation. Resting state functional MRI and a sliding-window approach were used to study the dynamic functional connectivity. Dynamic analysis suggested two distinct connectivity ‘States’ across the entire group: a more frequent, segregated brain state characterized by the predominance of within-network connections, State I, and a less frequent, integrated state with strongly connected functional internetwork components, State II. In Parkinson’s disease, State I occurred 13.89% more often than in healthy control subjects, paralleled by a proportional reduction of State II. Parkinson’s disease subgroups analyses showed the segregated state occurred more frequently in Parkinson’s disease dementia than in mild cognitive impairment and normal cognition groups. Further, patients with Parkinson’s disease dementia dwelled significantly longer in the segregated State I, and showed a significant lower number of transitions to the strongly interconnected State II compared to the other subgroups. Our study indicates that dementia in Parkinson’s disease is characterized by altered temporal properties in dynamic connectivity. In addition, our results show that increased dwell time in the segregated state and reduced number of transitions between states are associated with presence of dementia in Parkinson’s disease. Further studies on dynamic functional connectivity changes could help to better understand the progressive dysfunction of networks between Parkinson’s disease cognitive states.

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Differential functional connectivity of insular subdivisions in de novo Parkinson’s Disease with mild cognitive impairment

10.21203/rs.3.rs-176583/v1 ◽

2021 ◽

Author(s):

Chenxi Pan ◽

Jingru Ren ◽

Lanting Li ◽

Yuqian Li ◽

Jianxia Xu ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Cognitive Impairment ◽

Executive Function ◽

Mild Cognitive Impairment ◽

Functional Connectivity ◽

Cognitive Abilities ◽

De Novo ◽

Cognitive Disorders ◽

The Right

Abstract The insula, consisting of functionally diverse subdivisions, plays a significant role in Parkinson’s disease (PD)-related cognitive disorders. However, the functional connectivity (FC) patterns of insular subdivisions in PD remain unclear. Our aim is to investigate the changes in FC patterns of insular subdivisions and their relationships with cognitive domains. Three groups of participants were recruited in this study, including PD patients with mild cognitive impairment (PD-MCI, n = 25), PD patients with normal cognition (PD-NC, n = 13), and healthy controls (HCs, n = 17). Resting-state functional magnetic resonance imaging (rs-fMRI) was used to investigate the FC in insular subdivisions of the three groups. Moreover, all participants underwent a neuropsychological battery to assess cognition so that the relationship between altered FC and cognitive performance could be elucidated. Compared with the PD-NC group, the PD-MCI group exhibited increased FC between the left dorsal anterior insular (dAI) and the right superior parietal gyrus (SPG), and altered FC was negatively correlated with memory and executive function. Compared with the HC group, the PD-MCI group showed significantly increased FC between the right dAI and the right median cingulate and paracingulate gyri (DCG), and altered FC was positively related to attention/working memory, visuospatial function, and language. Our findings highlighted the different abnormal FC patterns of insular subdivisions in PD patients with different cognitive abilities. Furthermore, dysfunction of the dAI may partly contribute to the decline in executive function and memory in early drug-naïve PD patients.

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Resting‐State Functional Connectivity in Frontostriatal and Posterior Cortical Subtypes in Parkinson's Disease‐Mild Cognitive Impairment

Movement Disorders ◽

10.1002/mds.28888 ◽

2021 ◽

Author(s):

Quentin Devignes ◽

Cécile Bordier ◽

Romain Viard ◽

Luc Defebvre ◽

Grégory Kuchcinski ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Functional Connectivity ◽

Resting State ◽

Resting State Functional Connectivity

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Dynamic functional connectivity in Parkinson's disease patients with mild cognitive impairment and normal cognition

NeuroImage Clinical ◽

10.1016/j.nicl.2017.12.013 ◽

2018 ◽

Vol 17 ◽

pp. 847-855 ◽

Cited By ~ 48

Author(s):

María Díez-Cirarda ◽

Antonio P. Strafella ◽

Jinhee Kim ◽

Javier Peña ◽

Natalia Ojeda ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Functional Connectivity ◽

Dynamic Functional Connectivity ◽

Normal Cognition

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Olfactory dysfunctions in drug-naïve Parkinson's disease with mild cognitive impairment

Parkinsonism & Related Disorders ◽

10.1016/j.parkreldis.2017.11.334 ◽

2018 ◽

Vol 46 ◽

pp. 69-73 ◽

Cited By ~ 16

Author(s):

Jin-Woo Park ◽

Do-Young Kwon ◽

Ji Ho Choi ◽

Moon-Ho Park ◽

Ho-Kyoung Yoon

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Drug Naïve

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Functional Connectivity in Parkinson's Disease Patients with Mild Cognitive Impairment

10.21203/rs.3.rs-20315/v1 ◽

2020 ◽

Author(s):

Qingguang Wang ◽

Wei He ◽

Dinghua Liu ◽

Bojun Han ◽

Qitao Jiang ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Functional Connectivity ◽

Demographic Data ◽

Posterior Cingulate Cortex ◽

Mri Scans ◽

The Relationship ◽

Normal Cognition

Abstract Background: To explore the alteration of pattens of anatomical and functional connectivity (FC) of posterior cingulate cortex (PCC) in Parkinson's disease (PD) patients with cognitive dysfunction and the relationship between the connection strengths and cognitive state．Methods: We prospectively enrolled 20 PD patients with mild cognitive impairment (PD-MCI), 13 PD patients with normal cognition (PD-NC) and 13 healthy controls (HCs). All subjects underwent clinical evaluations and MRI scans. By collecting, preprocessing and FC analyzing resting-state functional magnetic resonance imaging (rs-fMRI) data, we extracted default mode network (DMN) patterns, compared the differences in DMN between the three groups and the analyzed the correlation between FC value with the commonly used neuropsychological testing.Results: There were not significant differences with regard to demographic data among the three groups. The PD-MCI showed significant worse performances in general cognition, and PD-NC and HCs showed comparable performances of cognitive function. Cognitive-related differences in DMN were detected in the bilateral precuneus (BPcu). Compared with the HCs, PD-NC and PD-MCI showed significantly decreased FC within BPcu (both P < 0.001). For PD-MCI, the rho of the the Fisher’s Z-transformed FC (zFC) value within BPcu with the TMTA, DSST and CFT-20min were − 0.50, 0.66 and 0.47, respectively. For PD-NC, the rho of the zFC value within BPcu with the MMSE was 0.58.Conclusions: Our research found that BPcu was the cognitive related region in DMN. As cognition declines, FC within BPcu weaken. For PD-MCI, the higher the FC values within BPcu were related to the better the performances of TMTA, DSST and CFT-20 min DR. For PD patients with normal cognition, the FC within BPcu were positively correlated with scores of MMSE.

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Resting functional connectivity and mild cognitive impairment in Parkinson’s disease. An electroencephalogram study

Future Neurology ◽

10.2217/fnl-2018-0048 ◽

2019 ◽

Vol 14 (2) ◽

pp. FNL18 ◽

Cited By ~ 1

Author(s):

Jairo Alexander Carmona Arroyave ◽

Carlos Andrés Tobón Quintero ◽

Jasmín Jimena Suárez Revelo ◽

John Fredy Ochoa Gómez ◽

Yamile Bocanegra García ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Functional Connectivity

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Qualitative Deficits in Verbal Fluency in Parkinson’s Disease with Mild Cognitive Impairment: A Clinical and Neuroimaging Study

Journal of Parkinson s Disease ◽

10.3233/jpd-202473 ◽

2021 ◽

pp. 1-12

Author(s):

Tomoya Hamada ◽

Yuichi Higashiyama ◽

Asami Saito ◽

Keisuke Morihara ◽

Ramon Landin-Romero ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Functional Connectivity ◽

Diagnostic Accuracy ◽

Verbal Fluency ◽

Salience Network ◽

Semantic Fluency ◽

Characteristic Analysis

Background: Mild cognitive impairment (MCI) in Parkinson’s disease (PD) is considered a risk factor for PD with dementia (PDD). Verbal fluency tasks are widely used to assess executive function in PDD. However, in cases of PD with MCI (PD-MCI), the relative diagnostic accuracy of different qualitative verbal fluency measures and their related neural mechanisms remain unknown. Objective: This study aimed to investigate the relative diagnostic accuracy of qualitative (clustering and switching) verbal fluency strategies and their correlates with functional imaging in PD-MCI. Methods: Forty-five patients with PD (26 with MCI and 19 without MCI) and 25 healthy controls underwent comprehensive neurocognitive testing and resting-state functional magnetic resonance imaging. MCI in patients with PD was diagnosed according to established clinical criteria. The diagnostic accuracy of verbal fluency measures was determined via receiver operating characteristic analysis. Changes in brain functional connectivity between groups and across clinical measures were assessed using seed-to-voxel analyses. Results: Patients with PD-MCI generated fewer words and switched less frequently in semantic and phonemic fluency tasks compared to other groups. Switching in semantic fluency showed high diagnostic accuracy for PD-MCI and was associated with reduced functional connectivity in the salience network. Conclusion: Our results indicate that reduced switching in semantic fluency tasks is a sensitive and specific marker for PD-MCI. Qualitative verbal fluency deficits and salience network dysfunction represent early clinical changes observed in PD-MCI.

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