Cited by 196Dementia and Cognitive Impairment ResearchFunctional Brain Connectivity StudiesNeurobiology of Language and Bilingualism

Toward systems neuroscience in mild cognitive impairment and Alzheimer's disease: A meta‐analysis of 75 fMRI studies

Open access
Li, Hui‐Jie, Hou, Xiao‐Hui, Liu, Han‐Hui, Yue, Chun‐Lin, He, Yong, Zuo, Xi‐Nian·2015·Human Brain Mapping

Abstract

Most of the previous task functional magnetic resonance imaging (fMRI) studies found abnormalities in distributed brain regions in mild cognitive impairment (MCI) and Alzheimer's disease (AD), and few studies investigated the brain network dysfunction from the system level. In this meta‐analysis, we aimed to examine brain network dysfunction in MCI and AD. We systematically searched task‐based fMRI studies in MCI and AD published between January 1990 and January 2014. Activation likelihood estimation meta‐analyses were conducted to compare the significant group differences in brain activation, the significant voxels were overlaid onto seven referenced neuronal cortical networks derived from the resting‐state fMRI data of 1,000 healthy participants. Thirty‐nine task‐based fMRI studies (697 MCI patients and 628 healthy controls) were included in MCI‐related meta‐analysis while 36 task‐based fMRI studies (421 AD patients and 512 healthy controls) were included in AD‐related meta‐analysis. The meta‐analytic results revealed that MCI and AD showed abnormal regional brain activation as well as large‐scale brain networks. MCI patients showed hypoactivation in default, frontoparietal, and visual networks relative to healthy controls, whereas AD‐related hypoactivation mainly located in visual, default, and ventral attention networks relative to healthy controls. Both MCI‐related and AD‐related hyperactivation fell in frontoparietal, ventral attention, default, and somatomotor networks relative to healthy controls. MCI and AD presented different pathological while shared similar compensatory large‐scale networks in fulfilling the cognitive tasks. These system‐level findings are helpful to link the fundamental declines of cognitive tasks to brain networks in MCI and AD. Hum Brain Mapp 36:1217–1232, 2015. © 2014 Wiley Periodicals, Inc.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/hbm.22689

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The l-dlPFC is a key node of the frontoparietal network that is less activated during cognitive tasks in MCI relative to healthy controls.

    “the l-dlPFC (i.e., middle frontal gyrus) being a key node of the frontoparietal network that is less activated during cognitive tasks in MCI relative to healthy controls [16].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

No citation lists for this paper

No citation lists for this paper yet — checked again daily.

References 127 · Cited by 196

Research works printed but not linked: 1

  1. Jacobs HI, Gronenschild EH, Evers EA, Ramakers IH, Hofman PA, Backes WH, Jolles J, Verhey FR, Van Boxtel MP (2012): Visuospatial processing in early Alzheimer's disease: A multi- modal neuroimaging study (in press)

Authors
Li, H., Hou, X., Liu, H., Yue, C., He, Y., & Zuo, X.
Affiliations
  • Chinese Academy of Sciences (CN)
  • China Youth University for Political Sciences (CN)
  • Institute of Sports Medicine Soochow University Suzhou 215006 China
  • State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research Beijing Normal University Beijing 100875 China
Venue
Human Brain Mapping
Publisher
Wiley
Published
2014-11-19
Volume
36
Issue
3
Pages
1217-1232
ISSN
  • 1065-9471 (ISSN-L)
  • 1097-0193
OpenAlex
W2160941826
Cited by
196
References
127
Citations by year
2026: 6 · 2025: 17 · 2024: 20 · 2023: 26 · 2022: 20 · 2021: 22 · 2020: 16 · 2019: 18 · 2018: 10 · 2017: 25 · 2016: 11 · 2015: 4 · 2014: 1
FWCI
1.89
Type
journal article
Language
en
Open access
Locations
  • Human Brain Mapping (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences) (submittedVersion)
Funders
  • National Natural Science Foundation of China (81171409, 81225012, 81220108014, 31000465, 2012BAI10B04, 31221003, 81030028)
  • Chinese Academy of Sciences (KSZD-EW-TZ-002, 81220108014, 31000465, 81171409)
  • National Science Fund for Distinguished Young Scholars (81225012)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
Keywords
mild cognitive impairment, Alzheimer's disease, brain network dysfunction, large-scale brain networks, default mode network, frontoparietal network, visual network, ventral attention network, sensorimotor network, hypoactivation, hyperactivation, compensatory brain activation, systems neuroscience
MeSH terms
Alzheimer Disease, Cerebral Cortex, Humans, Magnetic Resonance Imaging, Nerve Net, Cognitive Dysfunction

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review