Diffusion tensor imaging reveals abnormal brain networks in elderly subjects with subjective cognitive deficits

Autor:	Suji Lee, Myungwon Choi, Cheol E. Han, Hyun Ghang Jeong, Sang Il Suh, Daegyeom Kim, Hyun Chul Youn
Rok vydání:	2019
Předmět:	Male medicine.medical_specialty Aging Precuneus Dermatology Superior parietal lobule Audiology Angular gyrus 03 medical and health sciences Diagnostic Self Evaluation 0302 clinical medicine medicine Cingulum (brain) Humans Cognitive Dysfunction 030212 general & internal medicine Paracentral lobule Aged Aged 80 and over Cerebral Cortex Postcentral gyrus business.industry Putamen Precentral gyrus General Medicine Psychiatry and Mental health medicine.anatomical_structure Diffusion Tensor Imaging Female Neurology (clinical) Nerve Net business Neurocognitive 030217 neurology & neurosurgery
Zdroj:	Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology. 40(11)
ISSN:	1590-3478
Popis:	Some elders with subjective cognitive deficits (SCD) develop prodromal phase of dementia over time; however, little is known about how they differ from those with normal cognition (NC). Thus, we aim to distinguish the differences in the brain network of elders with SCD and NC. Multiple diffusion-weighted images (DWI) and T1-weighted images were obtained from 18 subjects with NC and 26 subjects with SCD. Using network-based statistics (NBS) analysis, we extracted abnormal brain subnetworks and localized abnormal brain connectivity. We also ran correlation analysis to compare the affected regions and the results of the neurocognitive assessments. Altered subnetworks were found in the superior parietal gyrus, angular gyrus, precuneus, posterior cingulum, putamen, precentral gyrus, postcentral gyrus, and paracentral lobule. They were also associated with scores on the word list recall, word list recognition, and Boston naming test. Elders with SCD had distinctive brain network alterations when compared with those of elders with NC. The results are also in line with the previously identified characteristics of mild cognitive impairment (MCI) and of Alzheimer’s disease (AD) in a milder form. We speculate that it may be possible to predict AD progression early in the SCD stage using NBS analysis.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd08115400c6298350e5d2a451ea0e41 https://pubmed.ncbi.nlm.nih.gov/31243597 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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