Abstract
The marginal division (MrD) is a neostriatum subregion that links the limbic system and basal nucleus of Meynert; it is an important subcortical center that is involved in learning and memory. Alzheimer’s disease (AD) is a neurodegenerative disorder and the most common cause of dementia in the elderly. AD clinically manifests as gradually progressive cognitive decline with behavioral disorders. Prior to full dementia, AD patients typically experience a transient state, i.e., mild cognitive impairment (MCI). Amnestic MCI individuals, but not all MCI individuals, frequently convert to AD dementia. To specify whether and how the functional relationships between the MrD and other brain regions change during AD, functional connectivity was assessed using resting-state functional MRI data and associated neuropsychological tests in AD and MCI patients (amnestic-type). Compared with normal controls, a different decreased functional connectivity pattern was observed between the MrD and caudate, the amygdala/parahippocampal region, the inferior frontal gyrus, the superior temporal gyrus, and the cerebellum for AD/MCI patients. Moreover, the functional connectivity between the MrD and the identified regions was significantly correlated with the neuropsychological scores among the MCI and AD subjects. Our results suggest that the MrD functional network is disrupted during AD.
Keywords: Alzheimer's disease, functional connectivity, marginal division, mild cognitive impairment, resting-state fMRI.
Current Alzheimer Research
Title:Altered Functional Connectivity of the Marginal Division in Alzheimer’s Disease
Volume: 11 Issue: 2
Author(s): Zengqiang Zhang, Yong Liu, Bo Zhou, Jinlong Zheng, Hongxiang Yao, Ningyu An, Pan Wang, Yan’e Guo, Haitao Dai, Luning Wang, Siyun Shu, Xi Zhang and Tianzi Jiang
Affiliation:
Keywords: Alzheimer's disease, functional connectivity, marginal division, mild cognitive impairment, resting-state fMRI.
Abstract: The marginal division (MrD) is a neostriatum subregion that links the limbic system and basal nucleus of Meynert; it is an important subcortical center that is involved in learning and memory. Alzheimer’s disease (AD) is a neurodegenerative disorder and the most common cause of dementia in the elderly. AD clinically manifests as gradually progressive cognitive decline with behavioral disorders. Prior to full dementia, AD patients typically experience a transient state, i.e., mild cognitive impairment (MCI). Amnestic MCI individuals, but not all MCI individuals, frequently convert to AD dementia. To specify whether and how the functional relationships between the MrD and other brain regions change during AD, functional connectivity was assessed using resting-state functional MRI data and associated neuropsychological tests in AD and MCI patients (amnestic-type). Compared with normal controls, a different decreased functional connectivity pattern was observed between the MrD and caudate, the amygdala/parahippocampal region, the inferior frontal gyrus, the superior temporal gyrus, and the cerebellum for AD/MCI patients. Moreover, the functional connectivity between the MrD and the identified regions was significantly correlated with the neuropsychological scores among the MCI and AD subjects. Our results suggest that the MrD functional network is disrupted during AD.
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Cite this article as:
Zhang Zengqiang, Liu Yong, Zhou Bo, Zheng Jinlong, Yao Hongxiang, An Ningyu, Wang Pan, Guo Yan’e, Dai Haitao, Wang Luning, Shu Siyun, Zhang Xi and Jiang Tianzi, Altered Functional Connectivity of the Marginal Division in Alzheimer’s Disease, Current Alzheimer Research 2014; 11 (2) . https://dx.doi.org/10.2174/1567205011666140110112608
DOI https://dx.doi.org/10.2174/1567205011666140110112608 |
Print ISSN 1567-2050 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5828 |
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Aims and Scope: Introduction: Alzheimer's disease (AD) poses a significant global health challenge, with an increasing prevalence that demands concerted efforts to advance our understanding and strategies for prevention, diagnosis, treatment, and rehabilitation. This thematic issue aims to bring together cutting-edge research and innovative approaches from multidisciplinary perspectives to address ...read more
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Alzheimer's disease (AD) poses a significant global health challenge, with an increasing number of individuals affected yearly. Deep learning, a subfield of artificial intelligence, has shown immense potential in various domains, including healthcare. This thematic issue of Current Alzheimer Research explores the application of deep learning techniques in advancing our ...read more
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