Evidence map›Paper›PMID 39577377›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2024

EEG aperiodic dynamics from early through late childhood: Associations with ADHD, cognition, and development.

Anne B Arnett, Matthew Zimon, Sambridhi Subedi, Virginia Peisch, Erica Ferrara, Gaelle Gourdet, Carissa Mastrangelo

Abstract read
In one paragraph

Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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.

Anne B ArnettDivision of Developmental Medicine, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA. Electronic address: Anne.Arnett@childrens.harvard.edu.
Matthew ZimonDivision of Developmental Medicine, Boston Children's Hospital, Boston, MA, USA.
Sambridhi SubediDivision of Developmental Medicine, Boston Children's Hospital, Boston, MA, USA.
Virginia PeischDivision of Developmental Medicine, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
Erica FerraraUniversity of Massachusetts, Amherst, MA, USA.
Gaelle GourdetUniversity of Massachusetts Chan Medical School, Worcester, MA, USA.
Carissa MastrangeloDivision of Developmental Medicine, Boston Children's Hospital, Boston, MA, USA.

Funding

Genetic Analysis and Manipulation Core (GAEC)P50HD105351 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI Hisashi Umemori · 2021 to 2026
$9.4M
Neurophysiologically Defined Subtypes of ADHDR00MH116064 · NIMH · BOSTON CHILDREN'S HOSPITAL · PI ARNETT, ANNE BERNARD · 2021 to 2023
$884k
NICHD NIH HHS P50 HD105351NIMH NIH HHS R00 MH116064
6 · The paper itself

Abstract

backgroundAperiodic resting electroencephalography (EEG) activity is dynamic, reflecting shifting excitatory:inhibitory (E:I) balance with changing environmental conditions. We examined developmental and cognitive correlates of aperiodic and dynamic aperiodic indices in a cross-sequential cohort of early, middle, and late childhood youth with and without attention deficit hyperactivity disorder (ADHD).

methodsTwo-hundred eighty-five children ages 2 - 14 years provided resting EEG during high- and low-visual input conditions. Licensed clinical psychologists determined ADHD diagnosis or likelihood (in young children). Linear regressions were estimated to examine associations between aperiodic features and age, ADHD diagnosis, IQ, and experimental condition.

resultsFrom early to middle childhood, the aperiodic exponent increased linearly, indicating lower E:I, followed by a decreasing trajectory in late childhood. The aperiodic exponent was greater with high versus low visual input in young children, but this effect reversed with age. The ADHD group had a decreased aperiodic exponent, overall. Dynamic aperiodic activity, i.e. shifts in E:I balance, was associated with IQ.

conclusionsThe aperiodic exponent and aperiodic dynamics are proxies for age-related cortical maturation and E:I balance, and have distinct associations with ADHD symptoms and cognitive ability. SIGNIFICANCE: We provide novel evidence that dynamic aperiodic activity is a candidate marker of cortical efficiency in childhood.

Indexed as

Attention Deficit Disorder with HyperactivityCognitionElectroencephalographyAdolescentChildChild DevelopmentChild, PreschoolFemaleHumansMale1/fADHDAperiodic ExponentCognitionDevelopmentEEGExcitatory:inhibitory balance

Identifiers

PMID39577377
PMCPMC11631642

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.