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Dynamic functional connectivity changes associated with dementia in Parkinson's disease.
Eleonora Fiorenzato1, Antonio P Strafella2,3,4, Jinhee Kim2,3,4
1IRCCS San Camillo Hospital, Venice, Italy.
Brain : a Journal of Neurology
|July 8, 2019
Summary
Dynamic functional connectivity analysis reveals distinct brain states in Parkinson's disease. Increased time in a segregated brain state and fewer transitions are linked to dementia in Parkinson's disease patients.
Area of Science:
- Neuroscience
- Medical Imaging
- Cognitive Neurology
Background:
- Dynamic functional connectivity (dFC) tracks temporal brain activity changes.
- dFC may detect cognitive decline in Parkinson's disease (PD).
Purpose of the Study:
- To investigate dFC alterations in PD patients across cognitive spectrums.
- To identify dFC markers associated with cognitive impairment and dementia in PD.
Main Methods:
- Evaluated 118 PD patients and 35 controls using resting-state fMRI.
- Applied a sliding-window approach to analyze dFC and identify distinct brain states.
- Classified PD patients into normal cognition, mild cognitive impairment, and dementia groups.
Main Results:
- Identified two main brain states: a segregated State I and an integrated State II.
- PD patients showed increased frequency of State I and reduced State II compared to controls.
- PD dementia patients exhibited higher State I frequency, longer dwell time in State I, and fewer transitions to State II.
Conclusions:
- Dementia in PD is associated with altered temporal dynamics of functional brain connectivity.
- Increased segregation and reduced state transitions in dFC are linked to PD dementia.
- dFC changes may serve as biomarkers for cognitive progression in Parkinson's disease.