Evidence map›Paper›PMID 39934135›Full record

ArticleTranslational psychiatry2025

Transcriptomic profiles link corticostriatal microarchitecture to genetics of neurodevelopment and neuropsychiatric risks.

Sheng Hu, Yanming Wang, Xiaoxiao Wang, Yang Ji, Chuanfu Li, Bensheng Qiu

Abstract read
In one paragraph

Article in Translational psychiatry, 2025. 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. Article
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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

6 authors.

Sheng Hu *Medical Imaging Center, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China.ORCID http://orcid.org/0000-0002-5565-7072
Yanming Wang *Medical Imaging Center, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China.ORCID http://orcid.org/0000-0003-4615-493X
Xiaoxiao WangMedical Imaging Center, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China.
Yang JiMedical Imaging Center, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China.
Chuanfu LiMedical Imaging Center, First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, China. 13956078816@126.com.ORCID http://orcid.org/0000-0002-3839-3319
Bensheng QiuMedical Imaging Center, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China. bqiu@ustc.edu.cn.ORCID http://orcid.org/0000-0003-2987-7378

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many studies on macroscale organization have focused on only the cerebral cortex or striatum, leaving a large gap in the microstructural gradient of corticostriatal covariance. Here, we partitioned the striatum into seven distinct parcels and computed the microstructural covariance between each parcel and the cerebral cortex using T1-weighted/T2-weighted mapping. We found that corticostriatal microstructural covariance exhibited a microstructural gradient along the anterior-posterior axis of the striatum. The patterns of corticostriatal microstructural covariance are linked to geodesic distance and cell type-specific gene expression profiles, revealing a gradually attenuated relationship along the anterior-posterior axis of the striatum. Linking gene expression profile to corticostriatal microstructural patterns showed that the transcriptional variations in cell type-specific genes are different between the anterior and posterior striatum and suggested that anterior striatum are more enriched in psychiatric disorders. Moreover, at the genetic level, the corticostriatal microarchitecture showed a spatiotemporal trait during neurodevelopment. Finally, we identified the neural circuits from limbic and medial frontal cortex to striatum that contributes to the common neuropsychiatric disorders. Collectively, our findings reveal spatially covarying of transcriptional specializations with microarchitecture of corticostriatal covariance, highlighting the mechanisms underlying that neurodevelopmental corticostriatal circuits may be involved in neuropsychiatric disorders.

Indexed as

Cerebral CortexCorpus StriatumMental DisordersTranscriptomeAdultFemaleGene Expression ProfilingHumansMagnetic Resonance ImagingMaleNeural PathwaysYoung Adult

Identifiers

PMID39934135
PMCPMC11814317

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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.