Poster No:
211
Submission Type:
Abstract Submission
Authors:
Hyun Woong Roh1, Nishant Chauhan2, Youngju Lee2, Weonjeong Yoo2, Sang Joon Son1, Chang Hyung Hong1, Dongha Lee2
Institutions:
1Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea, 2Cognitive Science Research Group, Korea Brain Research Institute, Daegu Metropolitan City, Republic of Korea
First Author:
Co-Author(s):
Youngju Lee
Cognitive Science Research Group, Korea Brain Research Institute
Daegu Metropolitan City, Republic of Korea
Weonjeong Yoo, MS
Cognitive Science Research Group, Korea Brain Research Institute
Daegu Metropolitan City, Republic of Korea
Dongha Lee
Cognitive Science Research Group, Korea Brain Research Institute
Daegu Metropolitan City, Republic of Korea
Introduction:
Neurodegenerative disorders, marked by the abnormal accumulation of proteins, result in structural and functional impairments in neurons and glial cells, contributing to conditions like Alzheimer's disease (AD) and vascular cognitive impairment. The diagnostic complexity lies in the limitations of initial cognitive screening tests and the challenge of assessing independent daily functioning. Recent advancements in neuroimaging technology have increased the frequency of brain magnetic resonance imaging (MRI) and amyloid positron emission tomography (PET) examinations for patients with neurodegenerative disorders. While conventional focus centered on gray matter, our study highlights the critical role of white matter (WM), a crucial region facilitating both large and small neuronal connections. Significant WM damage manifests diverse clinical symptoms, including Parkinsonism, cognitive decline, and depression
Methods:
We analyzed 455 subjects from the BICWALZS database, which were categorized into four groups: subjective cognitive decline (SCD), mild cognitive impairment (MCI), Alzheimer's disease (AD), and vascular dementia (VD). Employing the DARTEL toolbox and the International Consortium for Brain Mapping (ICBM) template, we constructed the WM populational connection label map (pCLM) for each participant. Our investigation focused on the efficacy of inter-subject variability of WM patterns (WM-ISV) across all groups, analyzing its statistical associations with blood-based biomarkers, polygenic risk score (PRS), cognitive function, and disability scores.
Results:
Pairwise comparisons unveiled significant differences in WM patterns between SCD and AD individuals, as well as between MCI and AD, and AD and VD groups. The intricate correlations between WM-ISV and blood-based biomarkers indicated variations across diagnostic groups, with elevated WM-ISV in individuals with MCI, AD, and VD compared to SCD. The PRS for AD exhibited significant links with WM-ISV, emphasizing genetic influences on WM variability.
Conclusions:
The significant associations between cognitive scores and WM-ISV highlight the complex relationship between WM patterns and cognitive functioning in diverse neurodegenerative disorders, suggesting its potential as a valuable biomarker for diagnosis and prognosis.
Disorders of the Nervous System:
Neurodegenerative/ Late Life (eg. Parkinson’s, Alzheimer’s) 1
Modeling and Analysis Methods:
Methods Development 2
Keywords:
Computational Neuroscience
Data analysis
Degenerative Disease
White Matter
Other - Blood-based biomarkers, Inter-subject variability
1|2Indicates the priority used for review
Provide references using author date format
Lee D . A populational connection distribution map for the whole brain white matter reveals ordered cortical wiring in the space of white matter. Neuroimage 2022; 254: 119167.
Roh HW, Baseline Clinical and Biomarker Characteristics of Biobank Innovations for Chronic Cerebrovascular Disease With Alzheimer's Disease Study: BICWALZS. Psychiatry Investig 2022; 19(2): 100-109.