Evidence map›Paper›PMID 33192468›Full record

ArticleFrontiers in aging neuroscience2020

Graph Theory Analysis Reveals Resting-State Compensatory Mechanisms in Healthy Aging and Prodromal Alzheimer's Disease.

Qumars Behfar, Stefan Kambiz Behfar, Boris von Reutern, Nils Richter, Julian Dronse, Ronja Fassbender, Gereon R Fink, Oezguer A Onur

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

34 citing papers in PubMed, 58 citations in OpenAlex.

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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 4 institutions in 2 countries.

Qumars BehfarDepartment of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Stefan Kambiz BehfarLaboratory for Innovation Science at Harvard (LISH), Harvard University, Cambridge, MA, United States.
Boris von ReuternDepartment of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Nils RichterDepartment of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Julian DronseDepartment of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Ronja FassbenderDepartment of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Gereon R FinkDepartment of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Oezguer A OnurDepartment of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
University Hospital Cologne · DEUniversity of Cologne · DEForschungszentrum Jülich · DEHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several theories of cognitive compensation have been suggested to explain sustained cognitive abilities in healthy brain aging and early neurodegenerative processes. The growing number of studies investigating various aspects of task-based compensation in these conditions is contrasted by the shortage of data about resting-state compensatory mechanisms. Using our proposed criterion-based framework for compensation, we investigated 45 participants in three groups: (i) patients with mild cognitive impairment (MCI) and positive biomarkers indicative of Alzheimer's disease (AD); (ii) cognitively normal young adults; (iii) cognitively normal older adults. To increase reliability, three sessions of resting-state functional magnetic resonance imaging for each participant were performed on different days (135 scans in total). To elucidate the dimensions and dynamics of resting-state compensatory mechanisms, we used graph theory analysis along with volumetric analysis. Graph theory analysis was applied based on the Brainnetome atlas, which provides a connectivity-based parcellation framework. Comprehensive neuropsychological examinations including the Rey Auditory Verbal Learning Test (RAVLT) and the Trail Making Test (TMT) were performed, to relate graph measures of compensatory nodes to cognition. To avoid false-positive findings, results were corrected for multiple comparisons. First, we observed an increase of degree centrality in cognition related brain regions of the middle frontal gyrus, precentral gyrus and superior parietal lobe despite local atrophy in MCI and healthy aging, indicating a resting-state connectivity increase with positive biomarkers. When relating the degree centrality measures to cognitive performance, we observed that greater connectivity led to better RAVLT and TMT scores in MCI and, hence, might constitute a compensatory mechanism. The detection and improved understanding of the compensatory dynamics in healthy aging and prodromal AD is mandatory for implementing and tailoring preventive interventions aiming at preserved overall cognitive functioning and delayed clinical onset of dementia.

Indexed as

Brainnetome atlascompensationdegree centralityhealthy agingmild cognitive impairment

Identifiers

PMID33192468
PMCPMC7642892
OpenAlexW3094609021

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.