Evidence map›Paper›PMID 36444973›Full record

ArticleeLife2022

Functional connectivity subtypes associate robustly with ASD diagnosis.

Sebastian G W Urchs, Angela Tam, Pierre Orban, Clara Moreau, Yassine Benhajali, Hien Duy Nguyen, Alan C Evans, Pierre Bellec

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 30 citations in OpenAlex.

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  13. Connectome-based fingerprinting: reproducibility, precision, and behavioral prediction.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
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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 5 institutions in 3 countries.

Sebastian G W UrchsMontreal Neurological Institute and Hospital, McGill University, Montreal, Canada.ORCID 0000-0001-5504-8579
Angela TamCentre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, University of Montreal, Montreal, Canada.
Pierre OrbanCentre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada.
Clara MoreauCentre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, University of Montreal, Montreal, Canada.
Yassine BenhajaliCentre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, University of Montreal, Montreal, Canada.
Hien Duy NguyenSchool of Mathematics and Physics, University of Queensland, St. Lucia, Australia.ORCID 0000-0002-9958-432X
Alan C EvansMontreal Neurological Institute and Hospital, McGill University, Montreal, Canada.
Pierre BellecCentre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, University of Montreal, Montreal, Canada.
Institut Universitaire de Gériatrie de Montréal · CAMontreal Neurological Institute and Hospital · CACentre National de la Recherche Scientifique · FRInstitut Universitaire en Santé Mentale de Québec · CAThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our understanding of the changes in functional brain organization in autism is hampered by the extensive heterogeneity that characterizes this neurodevelopmental disorder. Data driven clustering offers a straightforward way to decompose autism heterogeneity into subtypes of connectivity and promises an unbiased framework to investigate behavioral symptoms and causative genetic factors. Yet, the robustness and generalizability of functional connectivity subtypes is unknown. Here, we show that a simple hierarchical cluster analysis can robustly relate a given individual and brain network to a connectivity subtype, but that continuous assignments are more robust than discrete ones. We also found that functional connectivity subtypes are moderately associated with the clinical diagnosis of autism, and these associations generalize to independent replication data. We explored systematically 18 different brain networks as we expected them to associate with different behavioral profiles as well as different key regions. Contrary to this prediction, autism functional connectivity subtypes converged on a common topography across different networks, consistent with a compression of the primary gradient of functional brain organization, as previously reported in the literature. Our results support the use of data driven clustering as a reliable data dimensionality reduction technique, where any given dimension only associates moderately with clinical manifestations.

Indexed as

Autistic DisorderNeurodevelopmental DisordersBrainCluster AnalysisHumansResearch Personnelautismfunctional connectivityheterogeneityhumanneurosciencesubtype

Identifiers

PMID36444973
PMCPMC9708070
OpenAlexW4300716292

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.