Evidence map›Paper›PMID 42193940›Full record

ReviewCells2026

Modelling the Neurobiology of ADHD Using Human iPSC Systems: A Multimodal Platform for Mechanistic Discovery.

Atefeh Namipashaki, Hanchen Yu, Mark A Bellgrove, Ziarih Hawi

Abstract readReview
In one paragraph

Review in Cells, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Atefeh NamipashakiTurner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC 3800, Australia.
Hanchen YuDepartment of Anatomy and Physiology, The University of Melbourne, Parkville, VIC 3010, Australia.
Mark A BellgroveTurner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC 3800, Australia.
Ziarih HawiTurner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC 3800, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Attention deficit hyperactivity disorder (ADHD) is a common and highly heterogeneous neurodevelopmental condition with complex biological underpinnings. Despite substantial progress in identifying genetic and neurobiological correlates, the cellular mechanisms linking genetic variation to functional brain alterations remain poorly understood. Human induced pluripotent stem cell (iPSC) technology provides a powerful platform to investigate these mechanisms by enabling the generation of patient-specific neural cell types and the direct interrogation of molecular, cellular, and network-level phenotypes. In this review, we summarise the current understanding of the neurobiological mechanisms underlying ADHD, including dopaminergic dysregulation, delayed neurodevelopmental maturation, and excitatory/inhibitory imbalance. We then discuss how iPSC-based models, combined with genome engineering and advanced functional assays, can be used to dissect gene-specific effects, study neural circuit development, and establish scalable platforms for therapeutic discovery. Finally, we outline key methodological considerations for designing robust iPSC-based models of ADHD. Together, these approaches provide new opportunities to bridge genetic risk with cellular function and accelerate the development of mechanistically informed therapeutic strategies.

Indexed as

Attention Deficit Disorder with HyperactivityInduced Pluripotent Stem CellsModels, BiologicalNeurobiologyHumansNeurodevelopmentADHDdisease modellingdopaminergic signallingexcitation/inhibition balancehuman iPSCsneurodevelopment

Identifiers

PMID42193940
PMCPMC13204105

What OpenQuestion holds

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LicenceCC BY
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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.