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Cited by 59Functional Brain Connectivity StudiesDementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Dysfunctional interactions between the default mode network and the dorsal attention network in subtypes of amnestic mild cognitive impairment

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Wang, Junkai, Liu, Jianghong, Wang, Zhiqun, Sun, Pei, Li, Kuncheng, Liang, Peipeng·2019·Aging
DOI 10.18632/aging.102380PMC PMC6834429
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Abstract

An anticorrelated relationship in the spontaneous fluctuations between the default mode network (DMN) and dorsal attention network (DAN) is a robust feature of intrinsic brain organization in healthy individuals. Prior studies have reported a decreased anticorrelation between the DMN and the DAN in Alzheimer's disease (AD) and mild cognitive impairment (MCI). However, it is unclear how this anticorrelation changes as MCI progresses to AD. We hypothesized that dysfunctional connectivity between the DMN and DAN may reflect the gradual decline from MCI to AD. To test this hypothesis, we investigated alterations in functional connectivity between the DMN and DAN in subtypes of amnestic MCI (aMCI) by comparing with the same functional pattern in healthy elderly individuals and patients with AD. We retrospectively collected brain imaging and neuropsychological data from 20 AD participants, 22 participants with multiple-domain aMCI (aMCI-m), 29 participants with single-domain aMCI (aMCI-s) and 23 sex-matched normal controls in this study. Resting-state functional connectivity analysis revealed that aMCI-s and aMCI-m groups demonstrated different magnitudes of increased anticorrelation between the DMN and DAN relative to the AD group. Furthermore, in aMCI-s, aMCI-m and AD participants, hypoconnectivity was found in specific regions within the DMN, including the precuneus and angular gyrus, and hyperconnectivity was found in areas outside the typical DMN networks, including the middle occipital gyrus, lingual gyrus and visual cortex, which indicated disease-related adaptations of brain networks. Our findings suggest that DMN-DAN anticorrelation may shed light on the understanding of the adaptations in brain function during the progression from MCI to AD and may serve as a potential biomarker to detect AD in the preclinical stage.

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Sorted by citations

Authors
Wang, J., Liu, J., Wang, Z., Sun, P., Li, K., & Liang, P.
Affiliations
  • Capital Normal University (CN)
  • Capital Medical University (CN)
  • Department of Radiology, Aerospace Center Hospital, Beijing, China
  • Tsinghua University (CN)
Corresponding author
  • Sun, Pei
  • Liang, Peipeng
ORCID
Venue
Aging
Publisher
Impact Journals, LLC
Published
2019-10-24
Volume
11
Issue
20
Pages
9147-9166
ISSN
1945-4589 (ISSN-L)
DOI
10.18632/aging.102380
PMC
PMC6834429
OpenAlex
W2981872005
Cited by
59
References
13
Citations by year
2026: 7 · 2025: 13 · 2024: 11 · 2023: 10 · 2022: 9 · 2021: 8 · 2020: 1
FWCI
2.60
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Aging (publishedVersion)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • National Natural Science Foundation of China (81671065, 81873892, 61473196)
  • Beijing Nova Program (61473196, 2016000021223TD07)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
Keywords
default mode network, dorsal attention network, amnestic mild cognitive impairment, Alzheimer's disease, anticorrelation, resting-state functional connectivity, precuneus, angular gyrus, preclinical biomarkers, network adaptation
MeSH terms
Aged, Alzheimer Disease, Brain, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Nerve Net, Neuropsychological Tests, Case-Control Studies, Cognitive Dysfunction

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