Evidence map›Paper›PMID 32305325›Full record

ReviewBiological psychiatry. Cognitive neuroscience and neuroimaging2020

Toward a Revised Nosology for Attention-Deficit/Hyperactivity Disorder Heterogeneity.

Joel T Nigg, Sarah L Karalunas, Eric Feczko, Damien A Fair

Open access · greenAbstract readReview
In one paragraph

Review in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 3 pooled it
11.4field-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

80 citing papers in PubMed, 3 syntheses or guidelines pooled it, 123 citations in OpenAlex.

  1. Pooled it
  2. Event-related brain oscillations in attention-deficit/hyperactivity disorder (ADHD): A systematic review and meta-analysis.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2022
    Pooled it
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  6. The role of single trial variability in event related potentials in children with attention deficit hyperactivity disorder.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023
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  8. Reproducible Temperament Profiles in Adolescents With Attention-Deficit/Hyperactivity Disorder Prospectively Predict Clinical Outcomes.Clinical psychological science : a journal of the Association for Psychological Science · 2026
    Article
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20 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

4 authors at 1 institution in 1 country.

Joel T NiggDepartment of Psychiatry, Oregon Health & Science University, Portland, Oregon. Electronic address: niggj@ohsu.edu.
Sarah L KaralunasDepartment of Psychiatry, Oregon Health & Science University, Portland, Oregon.
Eric FeczkoDepartment of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon.
Damien A FairDepartment of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon.
Oregon Health & Science University · US

Funding

ABCD-USA Consortium: Research ProjectU01DA041148 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Damien A Fair, Rebekah S Huber · 2015 to 2026
$22.3M
Identification of outcome-based sub-populations using deep phenotyping and precision functional mapping across ADHD and ASDR01MH096773 · NIMH · UNIVERSITY OF MINNESOTA · PI DOSENBACH, NICO, FAIR, DAMIEN A · 2012 to 2024
$9.4M
ADHD heterogeneity, mechanisms, and risk profileR37MH059105 · NIMH · OREGON HEALTH & SCIENCE UNIVERSITY · PI NIGG, JOEL T · 2014 to 2023
$7.0M
Brain trajectories in ADHDR01MH115357 · NIMH · OREGON HEALTH & SCIENCE UNIVERSITY · PI FAIR, DAMIEN A, NIGG, JOEL T · 2017 to 2021
$3.8M
ADHD biotypes using genetic and imaging approachesR01MH099064 · NIMH · OREGON HEALTH & SCIENCE UNIVERSITY · PI NIGG, JOEL T · 2013 to 2017
$3.2M
Neurophysiological mechanisms of cognitive and emotional control in ADHDK23MH108656 · NIMH · OREGON HEALTH & SCIENCE UNIVERSITY · PI KARALUNAS, SARAH LYN · 2016 to 2019
$742k
NIDA NIH HHS U01 DA041148NIMH NIH HHS K23 MH108656NIMH NIH HHS R01 MH096773NIMH NIH HHS R01 MH099064NIMH NIH HHS R01 MH115357NIMH NIH HHS R37 MH059105
6 · The paper itself

Abstract

Attention-deficit/hyperactivity disorder (ADHD) is among the many syndromes in the psychiatric nosology for which etiological signal and clinical prediction are weak. Reducing phenotypic and mechanistic heterogeneity should be useful to arrive at stronger etiological and clinical prediction signals. We discuss key conceptual and methodological issues, highlighting the role of dimensional features aligned with Research Domain Criteria and cognitive, personality, and temperament theory as well as neurobiology. We describe several avenues of work in this area, utilizing different statistical, computational, and machine learning approaches to resolve heterogeneity in ADHD. We offer methodological and conceptual recommendations. Methodologically, we propose that an integrated approach utilizing theory and advanced computational logic to address targeted questions, with consideration of developmental context, can render the heterogeneity problem tractable for ADHD. Conceptually, we conclude that the field is on the cusp of justifying an emotionally dysregulated subprofile in ADHD that may be useful for clinical prediction and treatment testing. Cognitive profiles, while more nascent, may be useful for clinical prediction and treatment assignment in different ways depending on developmental stage. Targeting these psychological profiles for neurobiological and etiological study to capture different pathophysiological routes remains a near-term opportunity. Subtypes are likely to be multifactorial, cut across multiple dimensions, and depend on the research or clinical outcomes of interest for their ultimate selection. In this context parallel profiles based on cognition, emotion, and specific neural signatures appear to be on the horizon, each with somewhat different utilities. Efforts to integrate such cross-cutting profiles within a conceptual dysregulation framework are well underway.

Indexed as

Attention Deficit Disorder with HyperactivityCognitionHumansTemperamentADHDCognitionEmotionHeterogeneityMachine learningSubtypes

Identifiers

PMID32305325
PMCPMC7423612
OpenAlexW3006683661

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.