Evidence map›Paper›PMID 26167487›Full record

ArticleBioMed research international2015

Aberrant Functional Connectivity Architecture in Alzheimer's Disease and Mild Cognitive Impairment: A Whole-Brain, Data-Driven Analysis.

Bo Zhou, Hongxiang Yao, Pan Wang, Zengqiang Zhang, Yafeng Zhan, Jianhua Ma, Kaibin Xu, Luning Wang, Ningyu An, Yong Liu and 1 more

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Facial Emotion Recognition Ability May Improve in Alzheimer Disease: A Pilot Study.Cognitive and behavioral neurology : official journal of the Society for Behavioral and Cognitive Neurology · 2026
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  4. Functional MRI andTherapeutic advances in neurological disorders · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Bo ZhouDepartment of Neurology, Institute of Geriatrics and Gerontology, Chinese PLA General Hospital, Beijing 100853, China.
Hongxiang YaoDepartment of Radiology, Chinese PLA General Hospital, Beijing 100853, China.
Pan WangDepartment of Neurology, Institute of Geriatrics and Gerontology, Chinese PLA General Hospital, Beijing 100853, China.
Zengqiang ZhangDepartment of Neurology, Institute of Geriatrics and Gerontology, Chinese PLA General Hospital, Beijing 100853, China ; Hainan Branch of Chinese PLA General Hospital, Sanya 572014, China.
Yafeng ZhanBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China ; School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China.
Jianhua MaSchool of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China.
Kaibin XuBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China ; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Luning WangDepartment of Neurology, Institute of Geriatrics and Gerontology, Chinese PLA General Hospital, Beijing 100853, China.
Ningyu AnDepartment of Radiology, Chinese PLA General Hospital, Beijing 100853, China.
Yong LiuBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China ; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Xi ZhangDepartment of Neurology, Institute of Geriatrics and Gerontology, Chinese PLA General Hospital, Beijing 100853, China.
Chinese PLA General Hospital · CNSouthern Medical University · CNChinese Academy of Sciences · CNInstitute of Automation · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of our study was to investigate whether the whole-brain functional connectivity pattern exhibits disease severity-related alterations in patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI). Resting-state functional magnetic resonance imaging data were acquired in 27 MCI subjects, 35 AD patients, and 27 age- and gender-matched subjects with normal cognition (NC). Interregional functional connectivity was assessed based on a predefined template which parcellated the brain into 90 regions. Altered whole-brain functional connectivity patterns were identified via connectivity comparisons between the AD and NC subjects. Finally, the relationship between functional connectivity strength and cognitive ability according to the mini-mental state examination (MMSE) was evaluated in the MCI and AD groups. Compared with the NC group, the AD group exhibited decreased functional connectivities throughout the brain. The most significantly affected regions included several important nodes of the default mode network and the temporal lobe. Moreover, changes in functional connectivity strength exhibited significant associations with disease severity-related alterations in the AD and MCI groups. The present study provides novel evidence and will facilitate meta-analysis of whole-brain analyses in AD and MCI, which will be critical to better understand the neural basis of AD.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseBrain MappingCase-Control StudiesCognitive DysfunctionFemaleHumansMagnetic Resonance ImagingMaleNerve Net

Identifiers

PMID26167487
PMCPMC4475740
OpenAlexW1835893945

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.