Evidence map›Paper›PMID 26635593›Full record

ArticleFrontiers in computational neuroscience2015

A Winding Road: Alzheimer's Disease Increases Circuitous Functional Connectivity Pathways.

John Suckling, Tiago Simas, Shayanti Chattopadhyay, Roger Tait, Li Su, Guy Williams, James B Rowe, John T O'Brien

Open access · goldAbstract read
In one paragraph

Article in Frontiers in computational neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

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  8. Communication dynamics in complex brain networks.Nature reviews. Neuroscience · 2017
    Review
  9. [Research progress about different levels of cognitive recession using resting state functional connectivity network methods].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2017
    Review
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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

8 authors at 3 institutions in 1 country.

John SucklingDepartment of Psychiatry, University of Cambridge Cambridge, UK ; Cambridge and Peterborough Foundation NHS Trust Cambridge, UK ; MRC/Wellcome Trust Behavioural and Clinical Neuroscience Institute, University of Cambridge Cambridge, UK.
Tiago SimasDepartment of Psychiatry, University of Cambridge Cambridge, UK.
Shayanti ChattopadhyayDepartment of Psychiatry, University of Cambridge Cambridge, UK.
Roger TaitMRC/Wellcome Trust Behavioural and Clinical Neuroscience Institute, University of Cambridge Cambridge, UK.
Li SuDepartment of Psychiatry, University of Cambridge Cambridge, UK.
Guy WilliamsDepartment of Clinical Neurosciences, University of Cambridge Cambridge, UK ; Wolfson Brain Imaging Centre, University of Cambridge Cambridge, UK.
James B RoweMRC/Wellcome Trust Behavioural and Clinical Neuroscience Institute, University of Cambridge Cambridge, UK ; Department of Clinical Neurosciences, University of Cambridge Cambridge, UK.
John T O'BrienDepartment of Psychiatry, University of Cambridge Cambridge, UK ; Cambridge and Peterborough Foundation NHS Trust Cambridge, UK.
University of Cambridge · GBCambridgeshire and Peterborough NHS Foundation Trust · GBWellcome Trust · GB

Funding

Medical Research Council MC_U105597119Medical Research Council MR/M009041/1Medical Research Council MR/M024873/1Wellcome Trust 103838
6 · The paper itself

Abstract

Neuroimaging has been successful in characterizing the pattern of cerebral atrophy that accompanies the progression of Alzheimer's disease (AD). Examination of functional connectivity, the strength of signal synchronicity between brain regions, has gathered pace as another way of understanding changes to the brain that are associated with AD. It appears to have good sensitivity and detect effects that precede cognitive decline, and thus offers the possibility to understand the neurobiology of the disease in its earliest phases. However, functional connectivity analyzes to date generally consider only the strongest connections, with weaker links ignored. This proof-of-concept study compared patients with mild-to-moderate AD (N = 11) and matched control individuals (N = 12) based on functional connectivities derived from blood-oxygenation level dependent (BOLD) sensitive functional MRI acquired during resting wakefulness. All positive connectivities irrespective of their strength were included. Transitive closures of the resulting connectome were calculated that classified connections as either direct or indirect. Between-group differences in the proportion of indirect paths were observed. In AD, there was broadly increased indirect connectivity across greater spatial distances. Furthermore, the indirect pathways in AD had greater between-subject topological variance than controls. The prevailing characterization of AD as being a disconnection syndrome is refined by the observation that direct links between regions that are impaired are perhaps replaced by an increase in indirect functional pathways that is only detectable through inclusion of connections across the entire range of connection strengths.

Indexed as

Alzheimer diseaseconnectomefunctional connectivityneuroimagingsemi metricitytransitivity

Identifiers

PMID26635593
PMCPMC4649041
OpenAlexW2184204734

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.