Evidence map›Paper›PMID 38105321›Full record

ArticleScientific reports2023

Adult attention-deficit/hyperactivity disorder traits in healthy adults associated with brain volumetric data identify precuneus involvement in traffic crashes.

Handityo Aulia Putra, Kaechang Park, Hikaru Oba, Fumio Yamashita

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
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.

Handityo Aulia PutraResearch Organization for Regional Alliance, Kochi University of Technology, 185 Miyanokuchi Tosayamada‑cho, Kami, Kochi, 782‑0003, Japan.
Kaechang ParkResearch Organization for Regional Alliance, Kochi University of Technology, 185 Miyanokuchi Tosayamada‑cho, Kami, Kochi, 782‑0003, Japan. park.kaechang@kochi-tech.ac.jp.
Hikaru ObaGraduate School of Health Sciences, Hirosaki University, 66‑1, Hon‑cho, Hirosaki, Aomori, 036‑8564, Japan.
Fumio YamashitaDivision of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, 1‑1‑1 Idaidori, Yahaba‑cho, Shiwa‑gun, Iwate, 028‑3694, Japan.

Funding

Japan Society for the Promotion of Science 26285147
6 · The paper itself

Abstract

This large-scale study including 2548 healthy adults with no clinical attention-deficit/hyperactivity disorder (ADHD) diagnosis intended to clarify the complex relationships between cerebral grey matter volumes (GMVs), ADHD traits, and driving safety behaviours. Path analysis of magnetic resonance imaging (MRI) results and questionnaires about ADHD traits and traffic crashes over the past decade revealed significant correlations of ADHD traits with different brain regions relevant to different cognitive functions. The left precuneus responsible for visuospatial cognition was the sole region correlated with all ADHD trait categories, suggesting it plays an important role in understanding driving safety and traffic crashes. For the first time, a strong relationship was found among regional GMVs, ADHD traits, and real-life traffic crashes. These insights into the complex interplay may inform the development of an effective intervention with MRI examination to prevent traffic crashes. Large-scale brain volumetric data may further open social applications of behaviour science and neuroimaging.

Indexed as

Attention Deficit Disorder with HyperactivityAccidents, TrafficAdultBrainGray MatterHumansMagnetic Resonance ImagingParietal Lobe

Identifiers

PMID38105321
PMCPMC10725881

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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.