Evidence map›Paper›PMID 41548024›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2026

Intrinsic connectivity patterns of striatal subfields predict individual dimensions of psychopathology and are associated with cholinergic and serotonergic neurotransmission in schizophrenia.

Zhiqiu He, Wenli He, Zhiyi Chen, Wei Wei, Xiaojin Liu, Juergen Dukart, Weidong Li, Justin T Baker, Avram J Holmes, Felix Hoffstaedter and 11 more

Abstract read
In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 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

21 authors.

Zhiqiu He *Department of Mental Health, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu & Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, Zhejiang, China.
Wenli He *Department of Mental Health, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu & Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, Zhejiang, China.
Zhiyi ChenExperimental Research Center for Medical and Psychological Science, School of Psychology, Third Military Medical University, Chongqing, China.
Wei WeiAffiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Xiaojin LiuCenter for Educational Science and Technology, Beijing Normal University, Zhuhai, China.
Juergen DukartInstitute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany.ORCID http://orcid.org/0000-0003-0492-5644
Weidong LiCenter for Brain Health and Brain Technology, Global Institute of Future Technology, Shanghai Jiao Tong University, Shanghai, China.
Justin T BakerSchizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, 02478, USA.ORCID http://orcid.org/0000-0002-6629-2195
Avram J HolmesDepartment of Psychiatry, Brain Health Institute, Rutgers University, Piscataway, NJ, USA.
Felix HoffstaedterInstitute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany.ORCID http://orcid.org/0000-0001-7163-3110
Thomas Nickl-JockschatDepartment of Psychiatry and Psychotherapy, Otto-von-Guericke University, Magdeburg, Germany.
Birgit DerntlDepartment of Psychiatry and Psychotherapy, Tübingen Center for Mental Health (TüCMH), Medical Faculty, University of Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0003-0133-4486
Lydia KoglerDepartment of Psychiatry and Psychotherapy, Tübingen Center for Mental Health (TüCMH), Medical Faculty, University of Tübingen, Tübingen, Germany.
Renaud JardriUniv Lille, INSERM U1172, Lille Neuroscience & Cognition Centre, Plasticity & SubjectivitY team & CHU Lille, Fontan Hospital, CURE platform, Lille, France.ORCID http://orcid.org/0000-0003-4596-1502
Oliver GruberSection for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany.
André AlemanDepartment of Neuroscience, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Iris E SommerDepartment of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Kaustubh R PatilInstitute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany.
Yunrong LuDepartment of Psychiatry, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China. 2201005@zju.edu.cn.
Simon B EickhoffInstitute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany.
Ji ChenCenter for Brain Health and Brain Technology, Global Institute of Future Technology, Shanghai Jiao Tong University, Shanghai, China. chen.ji@sjtu.edu.cn.ORCID http://orcid.org/0000-0002-9476-1737

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82201658National Natural Science Foundation of China (National Science Foundation of China) 82371506
6 · The paper itself

Abstract

Symptoms of schizophrenia may reflect different pathophysiological processes in the striatum, but the links between striatal subfield connectivity, symptom dimensions, and molecular architectures remain unclear. Using connectivity profiles from 12 striatal subfields to predict negative, positive, affective, and cognitive symptoms in schizophrenia, we identified consistent connectivity features through cross-validations and validated with leave-one-site-out analysis and an independent dataset. Feature importance scores for brain parcels linked through consistent connectivity features that predicted symptoms were spatially correlated with density maps of 19 receptors/transporters from prior molecular imaging in healthy populations using partial least squares. We found that the connectivity profiles of the rostral and ventral striatal subfields significantly predicted affective and cognitive symptoms, respectively, and these predictions were generalized to the independent sample. Feature importance scores for brain parcels connected to the ventral striatum (predicting cognitive symptoms) were spatially correlated with density maps of both the vesicular acetylcholine transporter and the serotonin 1 A receptor. By contrast, importance scores for parcels linked to rostral striatal connectivity (predicting affective symptoms) were specifically associated with the spatial distribution of the serotonin 1 A receptor. Here, we show specific striatal connectivity patterns related to symptom dimensions and indicate multiple neurotransmitter systems to underlie the reward-related disturbances in schizophrenia.

Indexed as

Corpus StriatumSchizophreniaSchizophrenic PsychologySerotoninSynaptic TransmissionAdultFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysSerotonin

Identifiers

PMID41548024
PMCPMC13013616

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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.