Evidence map›Paper›PMID 24733652›Full record

ReviewNeuroscience bulletin2014

Disrupted structural and functional brain connectomes in mild cognitive impairment and Alzheimer's disease.

Zhengjia Dai, Yong He

Registry-linked trialOpen access · bronzeAbstract readReview
In one paragraph

Review in Neuroscience bulletin, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04000984 (Investigating the Beneficial Effects of Mindfulness-based Training on Neuropsychological Outcomes in Mild Cognitive Impairment), which is not on this map. Cited by 93 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 4% 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.

NCT04000984 nacompletednot on this mapstarted 2016, after this paper: background citation

Investigating the Beneficial Effects of Mindfulness-based Training on Neuropsychological Outcomes in Mild Cognitive Impairment

TypeinterventionalSponsorSingapore General HospitalRan2016 to 2019Enrolled81ConditionsMild Cognitive ImpairmentArmsMindfulness Based Training (MBT) Program, Cognitive Rehabilitation Training
3 · Its place in the literature

Who cites it

93 citing papers in PubMed, 1 synthesis or guideline pooled it, 171 citations in OpenAlex.

  1. Pooled it
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  14. Topological and geometric signatures of brain network dynamics in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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33 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

2 authors at 2 institutions in 2 countries.

Zhengjia DaiState Key Laboratory of Cognitive Neuroscience and Learning; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.
Yong He
McGovern Institute for Brain Research · USState Key Laboratory of Cognitive Neuroscience and Learning

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is the most common type of dementia, comprising an estimated 60-80% of all dementia cases. It is clinically characterized by impairments of memory and other cognitive functions. Previous studies have demonstrated that these impairments are associated with abnormal structural and functional connections among brain regions, leading to a disconnection concept of AD. With the advent of a combination of non-invasive neuroimaging (structural magnetic resonance imaging (MRI), diffusion MRI, and functional MRI) and neurophysiological techniques (electroencephalography and magnetoencephalography) with graph theoretical analysis, recent studies have shown that patients with AD and mild cognitive impairment (MCI), the prodromal stage of AD, exhibit disrupted topological organization in large-scale brain networks (i.e., connectomics) and that this disruption is significantly correlated with the decline of cognitive functions. In this review, we summarize the recent progress of brain connectomics in AD and MCI, focusing on the changes in the topological organization of large-scale structural and functional brain networks using graph theoretical approaches. Based on the two different perspectives of information segregation and integration, the literature reviewed here suggests that AD and MCI are associated with disrupted segregation and integration in brain networks. Thus, these connectomics studies open up a new window for understanding the pathophysiological mechanisms of AD and demonstrate the potential to uncover imaging biomarkers for clinical diagnosis and treatment evaluation for this disease.

Indexed as

ConnectomeAlzheimer DiseaseCognitive DysfunctionHumansNeural Pathways

Identifiers

PMID24733652
PMCPMC5562665
OpenAlexW2018593373

What OpenQuestion holds

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Registered trials

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.