Evidence map›Paper›PMID 26439278›Full record

ArticleScientific reports2015

Aberrant intra- and inter-network connectivity architectures in Alzheimer's disease and mild cognitive impairment.

Pan Wang, Bo Zhou, Hongxiang Yao, Yafeng Zhan, Zengqiang Zhang, Yue Cui, Kaibin Xu, Jianhua Ma, Luning Wang, Ningyu An and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 3% 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

75 citing papers in PubMed, 1 synthesis or guideline pooled it, 143 citations in OpenAlex.

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  16. Associations between Education Years and Resting-state Functional Connectivity Modulated byClinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2024
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15 more citing papers are in PubMed but not listed here.

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

13 authors at 5 institutions in 1 country.

Pan WangDepartment of Neurology, Institute of Geriatrics and Gerontology, Chinese PLA General Hospital, Beijing, 100853, China.
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.
Yafeng ZhanBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Zengqiang ZhangDepartment of Neurology, Institute of Geriatrics and Gerontology, Chinese PLA General Hospital, Beijing, 100853, China.
Yue CuiBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Kaibin XuBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Jianhua MaSchool of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, 510515, 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.
Xi ZhangDepartment of Neurology, Institute of Geriatrics and Gerontology, Chinese PLA General Hospital, Beijing, 100853, China.
Yong LiuBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Tianzi JiangBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Chinese PLA General Hospital · CNInstitute of Automation · CNSouthern Medical University · CNCenter for Excellence in Brain Science and Intelligence Technology · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) patients and those with high-risk mild cognitive impairment are increasingly considered to have dysfunction syndromes. Large-scale network studies based on neuroimaging techniques may provide additional insight into AD pathophysiology. The aim of the present study is to evaluate the impaired network functional connectivity with the disease progression. For this purpose, we explored altered functional connectivities based on previously well-defined brain areas that comprise the five key functional systems [the default mode network (DMN), dorsal attention network (DAN), control network (CON), salience network (SAL), sensorimotor network (SMN)] in 35 with AD and 27 with mild cognitive impairment (MCI) subjects, compared with 27 normal cognitive subjects. Based on three levels of analysis, we found that intra- and inter-network connectivity were impaired in AD. Importantly, the interaction between the sensorimotor and attention functions was first attacked at the MCI stage and then extended to the key functional systems in the AD individuals. Lower cognitive ability (lower MMSE scores) was significantly associated with greater reductions in intra- and inter-network connectivity across all patient groups. These profiles indicate that aberrant intra- and inter-network dysfunctions might be potential biomarkers or predictors of AD progression and provide new insight into AD pathophysiology.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseBrainCase-Control StudiesCognitive DysfunctionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNerve Net

Identifiers

PMID26439278
PMCPMC4594099
OpenAlexW2413280148

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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.