Evidence map›Paper›PMID 31194834›Full record

ArticlePloS one2019

Cognitive profiles and associated structural brain networks in a multimorbid sample of marginalized adults.

Kristina M Gicas, Andrea A Jones, William J Panenka, Chantelle Giesbrecht, Donna J Lang, Fidel Vila-Rodriguez, Olga Leonova, Alasdair M Barr, Ric M Procyshyn, Wayne Su and 6 more

Abstract read
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In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

16 authors.

Kristina M GicasDepartment of Psychiatry, University of British Columbia, Vancouver, BC Canada.ORCID 0000-0001-7917-6727
Andrea A JonesDepartment of Psychiatry, University of British Columbia, Vancouver, BC Canada.
William J PanenkaDepartment of Psychiatry, University of British Columbia, Vancouver, BC Canada.
Chantelle GiesbrechtDepartment of Psychology, Simon Fraser University, Burnaby, BC Canada.
Donna J LangDepartment of Radiology, University of British Columbia, Vancouver, BC Canada.
Fidel Vila-RodriguezDepartment of Psychiatry, University of British Columbia, Vancouver, BC Canada.
Olga LeonovaDepartment of Psychiatry, University of British Columbia, Vancouver, BC Canada.
Alasdair M BarrDepartment of Anesthesiology, Pharmacology and Therapeutics, University of British Columbia, Vancouver, BC Canada.
Ric M ProcyshynDepartment of Psychiatry, University of British Columbia, Vancouver, BC Canada.
Wayne SuDepartment of Psychiatry, University of British Columbia, Vancouver, BC Canada.
Alexander RauscherDepartment of Paediatrics, University of British Columbia, Vancouver, BC Canada.
A Talia VertinskyDepartment of Radiology, University of British Columbia, Vancouver, BC Canada.
Tari BuchananDepartment of Psychiatry, University of British Columbia, Vancouver, BC Canada.
G William MacEwanDepartment of Psychiatry, University of British Columbia, Vancouver, BC Canada.
Allen E ThorntonDepartment of Psychology, Simon Fraser University, Burnaby, BC Canada.
William G HonerDepartment of Psychiatry, University of British Columbia, Vancouver, BC Canada.

Funding

CIHR CBG-101827CIHR MOP-137103
6 · The paper itself

Abstract

introductionCognition is impaired in homeless and vulnerably housed persons. Within this heterogeneous and multimorbid group, distinct profiles of cognitive dysfunction are evident. However, little is known about the underlying neurobiological substrates. Imaging structural covariance networks provides a novel investigative strategy to characterizing relationships between brain structure and function within these different cognitive subgroups.

methodParticipants were 208 homeless and vulnerably housed persons. Cluster analysis was used to group individuals on the basis of similarities in cognitive functioning in the areas of attention, memory, and executive functioning. The principles of graph theory were applied to construct two brain networks for each cognitive group, using measures of cortical thickness and gyrification. Global and regional network properties were compared across networks for each of the three cognitive clusters.

resultsThree cognitive groups were defined by: higher cognitive functioning across domains (Cluster 1); lower cognitive functioning with a decision-making strength (Cluster 3); and an intermediate group with a relative executive functioning weakness (Cluster 2). Between-group differences were observed for cortical thickness, but not gyrification networks. The lower functioning cognitive group exhibited higher segregation and reduced integration, higher centrality in select nodes, and less spatially compact modules compared with the two other groups.

conclusionsThe cortical thickness network differences of Cluster 3 suggest that major disruptions in structural connectivity underlie cognitive dysfunction in a subgroup of people who have a high multimorbid illness burden and who are vulnerably housed or homeless. The origins, and possible plasticity of these structure-function relationships identified with network analysis warrant further study.

Indexed as

CognitionIll-Housed PersonsAdultBrainCluster AnalysisFemaleHumansMaleMiddle Aged

Identifiers

PMID31194834
PMCPMC6564539

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.