Title:
Advanced Network Analysis of Resting-State Functional Connectivity to Probe Executive Function In Parkinson's Disease and Multiple Sclerosis
Advanced Network Analysis of Resting-State Functional Connectivity to Probe Executive Function In Parkinson's Disease and Multiple Sclerosis
Speaker:
林素堇 (Sue-Jin Lin), PhD, University of British Columbia
林素堇 (Sue-Jin Lin), PhD, University of British Columbia
Time:
04/20 (Sat.) 5 pm PDT, 6 pm MDT, 7 pm CDT, 8 pm EDT
04/21 (Sun.) 8 am Taiwan
04/20 (Sat.) 5 pm PDT, 6 pm MDT, 7 pm CDT, 8 pm EDT
04/21 (Sun.) 8 am Taiwan
Keywords:
Neuroscience, Neuroimaging, Neurology, Cognitive Network Neuroscience
Neuroscience, Neuroimaging, Neurology, Cognitive Network Neuroscience
Abstract:
Cognitive deficits are a very troubling symptom for people with neurological disease. Understanding cognitive deficits has been difficult because there does not seem to be a simple relationship between damages to one part of the brain and the deficits. It seems that disease effects over widespread brain areas are more associated with cognitive deficits. In this research, we investigated functional connectivity (FC), i.e. how brain regions communicate through information transfer, and its relations to cognitive deficits in two diseases showing similar cognitive impairments: Parkinson’s Disease and Multiple Sclerosis. Novel analyses with functional magnetic resonance imaging (fMRI) data were used to examine FC and advanced statistical methods were used to link FC and cognitive function. In both diseases, we found robust associations between network level descriptions of FC and performance on cognitive tests. Determining the networks associated with cognitive performance is a first step towards targeted therapy attempting to reduce deficits.
Cognitive deficits are a very troubling symptom for people with neurological disease. Understanding cognitive deficits has been difficult because there does not seem to be a simple relationship between damages to one part of the brain and the deficits. It seems that disease effects over widespread brain areas are more associated with cognitive deficits. In this research, we investigated functional connectivity (FC), i.e. how brain regions communicate through information transfer, and its relations to cognitive deficits in two diseases showing similar cognitive impairments: Parkinson’s Disease and Multiple Sclerosis. Novel analyses with functional magnetic resonance imaging (fMRI) data were used to examine FC and advanced statistical methods were used to link FC and cognitive function. In both diseases, we found robust associations between network level descriptions of FC and performance on cognitive tests. Determining the networks associated with cognitive performance is a first step towards targeted therapy attempting to reduce deficits.
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