Evidence map›Paper›PMID 41336500›Full record

ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2025

Fronto-Thalamo-Cerebellar Circuitry in Predicting Cognition and Behavior of ABCD Adolescents.

Jiayu Chen, Sanket Deshpande, Zening Fu, Armin Iraji, Shihao Ji, Tricia Z King, Vince D Calhoun, Jingyu Liu

Abstract read
In one paragraph

Article in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Jiayu Chen
Sanket Deshpande
Zening Fu
Armin Iraji
Shihao Ji
Tricia Z King
Vince D Calhoun
Jingyu Liu

Funding

Frontal-thalamo-cerebellar circuitry of attention deficit via imaging-genetic-environmental analysesR01MH130595 · NIMH · GEORGIA STATE UNIVERSITY · PI Shihao Ji, Jingyu Liu · 2023 to 2026
$1.4M
NIMH NIH HHS R01 MH130595
6 · The paper itself

Abstract

Attention deficit (AD) is a key symptom dimension in mental health and has been found to present as a continuous trait distributed across the general population, as well as a broad spectrum of mental disorders. However, little is known about how the fronto-thalamo-cerebellar (FTC) circuitry relates to AD, despite having been implicated in AD-related studies. The current work utilized the ABCD data collected at 10 years old to investigate the predictive power of FTC gray and white matter features on various neurocognitive and behavioral measures relevant to AD in the general population. Three different predictive models were trained separately to avoid model-related bias. The results support that gray matter volumes in the FTC circuitry more effectively predict working memory performance than the extensively studied fronto-thalamo-parietal circuitry, extending our knowledge on the role of FTC underlying neurocognition and AD.

Indexed as

Attention Deficit Disorder with HyperactivityCerebellumCognitionFrontal LobeThalamusAdolescentChildFemaleHumansMagnetic Resonance ImagingMaleMemory, Short-Term

Identifiers

PMID41336500
PMCPMC13052518

What OpenQuestion holds

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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.