Evidence map›Paper›PMID 31010580›Full record

ArticleBiological psychiatry2019

The Functional Brain Organization of an Individual Allows Prediction of Measures of Social Abilities Transdiagnostically in Autism and Attention-Deficit/Hyperactivity Disorder.

Evelyn M R Lake, Emily S Finn, Stephanie M Noble, Tamara Vanderwal, Xilin Shen, Monica D Rosenberg, Marisa N Spann, Marvin M Chun, Dustin Scheinost, R Todd Constable

Open access · bronzeAbstract read
In one paragraph

Article in Biological psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed
13.6field-weighted citation impact, top 1% 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

77 citing papers in PubMed, 128 citations in OpenAlex.

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  3. The topology of adolescent mental health.medRxiv : the preprint server for health sciences · 2026
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17 more citing papers are in PubMed but not listed here.

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

10 authors at 3 institutions in 1 country.

Evelyn M R LakeDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, Connecticut. Electronic address: evelyn.lake@yale.edu.
Emily S FinnSection on Functional Imaging Methods, National Institute of Mental Health, Bethesda, Maryland.
Stephanie M NobleInterdepartmental Neuroscience Program, Yale School of Medicine, Yale University, New Haven, Connecticut.
Tamara VanderwalYale Child Study Center, Yale School of Medicine, Yale University, New Haven, Connecticut.
Xilin ShenDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, Connecticut.
Monica D RosenbergDepartment of Psychology, Yale School of Medicine, Yale University, New Haven, Connecticut; Department of Psychology, University of Chicago, Chicago, Illinois.
Marisa N SpannDepartment of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, New York.
Marvin M ChunInterdepartmental Neuroscience Program, Yale School of Medicine, Yale University, New Haven, Connecticut; Department of Psychology, Yale School of Medicine, Yale University, New Haven, Connecticut; Department of Neurobiology, Yale School of Medicine, Yale University, New Haven, Connecticut.
Dustin ScheinostDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, Connecticut.
R Todd ConstableDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, Connecticut; Interdepartmental Neuroscience Program, Yale School of Medicine, Yale University, New Haven, Connecticut; Department of Neurosurgery, Yale School of Medicine, Yale University, New Haven, Connecticut.
Yale University · USColumbia University · USNational Institute of Mental Health · US

Funding

Research Training for Medical Students & Physician-Scientists in Child PsychiatryR25MH077823 · NIMH · YALE UNIVERSITY · PI ANDRES S MARTIN · 2006 to 2026
$4.0M
Translational Developmental Neuroscience of AutismK23MH087770 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DI MARTINO, ADRIANA · 2010 to 2013
$644k
Enhancing the Autism Brain Imaging Data Exchange to Define the Autism ConnectomeR21MH107045 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DI MARTINO, ADRIANA · 2015 to 2016
$479k
Enhancement of the 1000 Functional Connectome ProjectR03MH096321 · NIMH · NATHAN S. KLINE INSTITUTE FOR PSYCH RES · PI BISWAL, BHARAT BHUSAN, MILHAM, MICHAEL PETER · 2012 to 2013
$158k
NIMH NIH HHS K23 MH087770NIMH NIH HHS R03 MH096321NIMH NIH HHS R21 MH107045NIMH NIH HHS R25 MH077823
6 · The paper itself

Abstract

backgroundAutism spectrum disorder and attention-deficit/hyperactivity disorder (ADHD) are associated with complex changes as revealed by functional magnetic resonance imaging. To date, neuroimaging-based models are not able to characterize individuals with sufficient sensitivity and specificity. Further, although evidence shows that ADHD traits occur in individuals with autism spectrum disorder, and autism spectrum disorder traits in individuals with ADHD, the neurofunctional basis of the overlap is undefined.

methodsUsing individuals from the Autism Brain Imaging Data Exchange and ADHD-200, we apply a data-driven, subject-level approach, connectome-based predictive modeling, to resting-state functional magnetic resonance imaging data to identify brain-behavior associations that are predictive of symptom severity. We examine cross-diagnostic commonalities and differences.

resultsUsing leave-one-subject-out and split-half analyses, we define networks that predict Social Responsiveness Scale, Autism Diagnostic Observation Schedule, and ADHD Rating Scale scores and confirm that these networks generalize to novel subjects. Networks share minimal overlap of edges (<2%) but some common regions of high hubness (Brodmann areas 10, 11, and 21, cerebellum, and thalamus). Further, predicted Social Responsiveness Scale scores for individuals with ADHD are linked to ADHD symptoms, supporting the hypothesis that brain organization relevant to autism spectrum disorder severity shares a component associated with attention in ADHD. Predictive connections and high-hubness regions are found within a wide range of brain areas and across conventional networks.

conclusionsAn individual's functional connectivity profile contains information that supports dimensional, nonbinary classification in autism spectrum disorder and ADHD. Furthermore, we can determine disorder-specific and shared neurofunctional pathology using our method.

Indexed as

ConnectomeAttention Deficit Disorder with HyperactivityAutism Spectrum DisorderCerebral CortexFemaleHumansLinear ModelsMagnetic Resonance ImagingMaleNerve NetSocial SkillsADHDAutism spectrum disorderFunctional connectivityFunctional MRIMagnetic resonance imagingPredictive modeling

Identifiers

PMID31010580
PMCPMC7311928
OpenAlexW2921949803

What OpenQuestion holds

Textmetadata
LicenceTDM
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.