Evidence map›Paper›PMID 39205507›Full record

ArticleThe American journal of psychiatry2024

Resting-State Functional Connectivity of the Amygdala in Autism: A Preregistered Large-Scale Study.

Dorit Kliemann, Paola Galdi, Avery L Van De Water, Brandon Egger, Dorota Jarecka, Ralph Adolphs, Satrajit S Ghosh

Abstract read
In one paragraph

Article in The American journal of psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

7 authors.

Dorit KliemannDepartment of Psychological and Brain Sciences (Kliemann, Van De Water, Egger), Department of Psychiatry (Kliemann), and Iowa Neuroscience Institute (Kliemann, Van De Water), University of Iowa, Iowa City; Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena (Kliemann, Adolphs); School of Informatics, University of Edinburgh, Edinburgh (Galdi); McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Mass. (Jarecka, Ghosh); Division of Biology and Biological Engineering and Chen Neuroscience Institute, California Institute of Technology, Pasadena (Adolphs); Department of Otolaryngology-Head and Neck Surgery, Harvard Medical School, Boston (Ghosh).
Paola GaldiDepartment of Psychological and Brain Sciences (Kliemann, Van De Water, Egger), Department of Psychiatry (Kliemann), and Iowa Neuroscience Institute (Kliemann, Van De Water), University of Iowa, Iowa City; Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena (Kliemann, Adolphs); School of Informatics, University of Edinburgh, Edinburgh (Galdi); McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Mass. (Jarecka, Ghosh); Division of Biology and Biological Engineering and Chen Neuroscience Institute, California Institute of Technology, Pasadena (Adolphs); Department of Otolaryngology-Head and Neck Surgery, Harvard Medical School, Boston (Ghosh).
Avery L Van De WaterDepartment of Psychological and Brain Sciences (Kliemann, Van De Water, Egger), Department of Psychiatry (Kliemann), and Iowa Neuroscience Institute (Kliemann, Van De Water), University of Iowa, Iowa City; Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena (Kliemann, Adolphs); School of Informatics, University of Edinburgh, Edinburgh (Galdi); McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Mass. (Jarecka, Ghosh); Division of Biology and Biological Engineering and Chen Neuroscience Institute, California Institute of Technology, Pasadena (Adolphs); Department of Otolaryngology-Head and Neck Surgery, Harvard Medical School, Boston (Ghosh).
Brandon EggerDepartment of Psychological and Brain Sciences (Kliemann, Van De Water, Egger), Department of Psychiatry (Kliemann), and Iowa Neuroscience Institute (Kliemann, Van De Water), University of Iowa, Iowa City; Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena (Kliemann, Adolphs); School of Informatics, University of Edinburgh, Edinburgh (Galdi); McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Mass. (Jarecka, Ghosh); Division of Biology and Biological Engineering and Chen Neuroscience Institute, California Institute of Technology, Pasadena (Adolphs); Department of Otolaryngology-Head and Neck Surgery, Harvard Medical School, Boston (Ghosh).
Dorota JareckaDepartment of Psychological and Brain Sciences (Kliemann, Van De Water, Egger), Department of Psychiatry (Kliemann), and Iowa Neuroscience Institute (Kliemann, Van De Water), University of Iowa, Iowa City; Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena (Kliemann, Adolphs); School of Informatics, University of Edinburgh, Edinburgh (Galdi); McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Mass. (Jarecka, Ghosh); Division of Biology and Biological Engineering and Chen Neuroscience Institute, California Institute of Technology, Pasadena (Adolphs); Department of Otolaryngology-Head and Neck Surgery, Harvard Medical School, Boston (Ghosh).
Ralph AdolphsDepartment of Psychological and Brain Sciences (Kliemann, Van De Water, Egger), Department of Psychiatry (Kliemann), and Iowa Neuroscience Institute (Kliemann, Van De Water), University of Iowa, Iowa City; Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena (Kliemann, Adolphs); School of Informatics, University of Edinburgh, Edinburgh (Galdi); McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Mass. (Jarecka, Ghosh); Division of Biology and Biological Engineering and Chen Neuroscience Institute, California Institute of Technology, Pasadena (Adolphs); Department of Otolaryngology-Head and Neck Surgery, Harvard Medical School, Boston (Ghosh).
Satrajit S GhoshDepartment of Psychological and Brain Sciences (Kliemann, Van De Water, Egger), Department of Psychiatry (Kliemann), and Iowa Neuroscience Institute (Kliemann, Van De Water), University of Iowa, Iowa City; Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena (Kliemann, Adolphs); School of Informatics, University of Edinburgh, Edinburgh (Galdi); McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Mass. (Jarecka, Ghosh); Division of Biology and Biological Engineering and Chen Neuroscience Institute, California Institute of Technology, Pasadena (Adolphs); Department of Otolaryngology-Head and Neck Surgery, Harvard Medical School, Boston (Ghosh).

Funding

Resource DiscoveryP41EB019936 · NIBIB · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI David Nelson Kennedy · 2016 to 2026
$15.2M
Using complex video stimuli to elucidate atypical brain functioning in ASDR01MH110630 · NIMH · TRUSTEES OF INDIANA UNIVERSITY · PI Daniel Patrick Kennedy · 2017 to 2026
$5.6M
NIBIB NIH HHS P41 EB019936NIMH NIH HHS R01 MH110630
6 · The paper itself

Abstract

objectiveThree leading neurobiological hypotheses about autism spectrum disorder (ASD) propose underconnectivity between brain regions, atypical function of the amygdala, and generally higher variability between individuals with ASD than between neurotypical individuals. Past work has often failed to generalize, because of small sample sizes, unquantified data quality, and analytic flexibility. This study addressed these limitations while testing the above three hypotheses, applied to amygdala functional connectivity.

methodsIn a comprehensive preregistered study, the three hypotheses were tested in a subset (N=488 after exclusions; N=212 with ASD) of the Autism Brain Imaging Data Exchange data sets. The authors analyzed resting-state functional connectivity (FC) from functional MRI data from two anatomically defined amygdala subdivisions, in three hypotheses with respect to magnitude, pattern similarity, and variability, across different anatomical scales ranging from whole brain to specific regions and networks.

resultsA Bayesian approach to hypothesis evaluation produced inconsistent evidence in ASD for atypical amygdala FC magnitude, strong evidence that the multivariate pattern of FC was typical, and no consistent evidence of increased interindividual variability in FC. The results strongly depended on analytic choices, including preprocessing pipeline for the neuroimaging data, anatomical specificity, and subject exclusions.

conclusionsA preregistered set of analyses found no reliable evidence for atypical functional connectivity of the amygdala in autism, contrary to leading hypotheses. Future studies should test an expanded set of hypotheses across multiple processing pipelines, collect deeper data per individual, and include a greater diversity of participants to ensure robust generalizability of findings on amygdala FC in ASD.

Indexed as

AmygdalaAutism Spectrum DisorderMagnetic Resonance ImagingAdolescentAdultBayes TheoremChildConnectomeFemaleHumansMaleNerve NetNeural PathwaysYoung AdultAutism Spectrum DisorderCognitive NeuroscienceFunctional ConnectivityNeurodevelopmental DisordersNeuroimaging

Identifiers

PMID39205507
PMCPMC11667795

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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.