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FC48: Using Complexity Analysis to Explore the Differences of Resting- state fMRI Data Among Late- life Depressed, Mild Cognitive Impaired, and Cognitive Normal Older Adults

Published online by Cambridge University Press:  27 November 2024

Chemin Lin
Affiliation:
Department of Psychiatry, Keelung Chang Gung Memorial Hospital, Keelung City, Taiwan College of Medicine, Chang Gung University, Taoyuan County, Taiwan Community Medicine Research Center, Chang Gung Memorial Hospital, Keelung, Keelung, Taiwan
Chih-Mao Huang
Affiliation:
Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
Yu-Wen Wu
Affiliation:
Department of Engineering and System Science, National Tsing Hua University, Hsinchu, Taiwan
You-Xun Chang
Affiliation:
Department of Engineering and System Science, National Tsing Hua University, Hsinchu, Taiwan
Yi-Chia Wei
Affiliation:
College of Medicine, Chang Gung University, Taoyuan County, Taiwan Community Medicine Research Center, Chang Gung Memorial Hospital, Keelung, Keelung, Taiwan Department of Neurology, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan Institute of Neuroscience, National Yang-Ming University, Taipei, Taiwan
Yao-Liang Chen
Affiliation:
Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Keelung, Taiwan
Pin-Yuan Chen
Affiliation:
College of Medicine, Chang Gung University, Taoyuan County, Taiwan Community Medicine Research Center, Chang Gung Memorial Hospital, Keelung, Keelung, Taiwan Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Keelung, Taiwan
Yu-Chiau Shyu
Affiliation:
Community Medicine Research Center, Chang Gung Memorial Hospital, Keelung, Keelung, Taiwan
Chih-Ken Chen
Affiliation:
Department of Psychiatry, Keelung Chang Gung Memorial Hospital, Keelung City, Taiwan College of Medicine, Chang Gung University, Taoyuan County, Taiwan Community Medicine Research Center, Chang Gung Memorial Hospital, Keelung, Keelung, Taiwan
Shun-Chi Wu
Affiliation:
Department of Engineering and System Science, National Tsing Hua University, Hsinchu, Taiwan

Abstract

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Introduction: Late-life depression (LLD) is associated with cognitive deficit with risk of future dementia. By examining the entropy of the spontaneous brain activity, we aimed to understand the neural mechanism pertaining to cognitive decline in LLD.

Methods: We collected MRI scans in older adults with LLD (n = 32), mild cognitive impairment [MCI (n = 25)] and normal cognitive function [NC, (n = 47)]. Multiscale entropy analysis (MSE) was applied to resting-state fMRI data. Under the scale factor (tau) 1 and 2, reliable separation of fMRI data and noise was achieved. We calculated the brain entropy in 90 brain regions based on automated anatomical atlas (AAL). Due to exploratory nature of this study, we presented data of group-wise comparison in brain entropy between LLD vs. NC, MCI vs. NC, and LLD and MCD with a p-value below 0.001.

Results: The mean Mini-Mental State Examination (MMSE) score of LLD and MCI was 27.9 and 25.6. Under tau 2, we found higher brain entropy of LLD in left globus pallidus than MCI (p = 0.002) and NC (p = 0,009). Higher brain entropy of LLD than NC was also found in left frontal superior gyrus, left middle superior gyrus, left amygdala and left inferior parietal gyrus. The only brain region with higher brain entropy in MCI than control was left posterior cingulum (p-value = 0.015). Under tau 1, higher brain entropy was also found in LLD than in MCI in right orbital part of medial frontal gyrus and left globus pallidus (p-value = 0.007 and 0.005).

Conclusions: Our result is consistent with prior hypothesis where higher brain entropy was found during early aging process as compensation. We found such phenomenon particular in left globus pallidus in LLD, which could be served as a discriminative brain region. Being a key region in reward system, we hypothesis such region may be associated with apathy and with unique pathway of cognitive decline in LLD. We will undertake subsequent analysis longitudinally in this cohort

Key words: resting-state fMRI, Late-life depression, Brain entropy, globus pallidus, cognitive decline

Type
Free/Oral Communication
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of International Psychogeriatric Association