Evidence map›Paper›PMID 38830974›Full record

ArticleMolecular psychiatry2024

Excessive interstitial free-water in cortical gray matter preceding accelerated volume changes in individuals at clinical high risk for psychosis.

Kang Ik K Cho, Fan Zhang, Nora Penzel, Johanna Seitz-Holland, Yingying Tang, Tianhong Zhang, Lihua Xu, Huijun Li, Matcheri Keshavan, Susan Whitfield-Gabrieli and 5 more

Abstract read
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In one paragraph

Article in Molecular psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  4. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Kang Ik K ChoDepartment of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-7135-3848
Fan ZhangDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Nora PenzelDepartment of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Johanna Seitz-HollandDepartment of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-1815-2681
Yingying TangShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-4705-3682
Tianhong ZhangShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-5379-7119
Lihua XuShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-2237-9336
Huijun LiDepartment of Psychology, Florida A&M University, Tallahassee, FL, USA.
Matcheri KeshavanThe Massachusetts Mental Health Center, Public Psychiatry Division, Beth Israel Deaconess Medical Center, and Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-5945-888X
Susan Whitfield-GabrieliDepartment of Psychology, Northeastern University, Boston, MA, USA.
Margaret NiznikiewiczThe Department of Psychiatry, Veterans Affairs Boston Healthcare System, Brockton Division, Brockton, MA, USA.
William S StoneThe Massachusetts Mental Health Center, Public Psychiatry Division, Beth Israel Deaconess Medical Center, and Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-2932-7288
Jijun WangShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China. jijunwang27@163.com.ORCID 0000-0001-5427-7425
Martha E ShentonDepartment of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-4235-7879
Ofer PasternakDepartment of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. ofer@bwh.harvard.edu.ORCID 0000-0002-7078-6446

Funding

Psychosis Risk Evaluation, Data Integration and Computational Technologies (PREDICT): Data Processing, Analysis, and Coordination CenterU24MH124629 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI Rene S. Kahn, Martha E. Shenton · 2020 to 2026
$32.6M
Novel DT-MRI Analyses of White Matter in SchizophreniaR01MH074794 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI WESTIN, CARL-FREDRIK · 2007 to 2021
$9.6M
Identifying mechanisms of response to therapeutic intervention in clinical high risk (CHR) for psychosis: a bridge to treatmentR01MH111448 · NIMH · BETH ISRAEL DEACONESS MEDICAL CENTER · PI LI, HUIJUN, NIZNIKIEWICZ, MARGARET A · 2016 to 2023
$4.4M
Next Generation Diffusion MRI Biomarkers for Prodromal SchizophreniaR01MH108574 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI PASTERNAK, OFER · 2016 to 2020
$2.2M
NIMH NIH HHS R01 MH074794NIMH NIH HHS R01 MH108574NIMH NIH HHS R01 MH111448NIMH NIH HHS U24 MH124629
6 · The paper itself

Abstract

Recent studies show that accelerated cortical gray matter (GM) volume reduction seen in anatomical MRI can help distinguish between individuals at clinical high risk (CHR) for psychosis who will develop psychosis and those who will not. This reduction is suggested to represent atypical developmental or degenerative changes accompanying an accumulation of microstructural changes, such as decreased spine density and dendritic arborization. Detecting the microstructural sources of these changes before they accumulate into volume loss is crucial. Our study aimed to detect these microstructural GM alterations using diffusion MRI (dMRI). We tested for baseline and longitudinal group differences in anatomical and dMRI data from 160 individuals at CHR and 96 healthy controls (HC) acquired in a single imaging site. Of the CHR individuals, 33 developed psychosis (CHR-P), while 127 did not (CHR-NP). Among all participants, longitudinal data was available for 45 HCs, 17 CHR-P, and 66 CHR-NP. Eight cortical lobes were examined for GM volume and GM microstructure. A novel dMRI measure, interstitial free water (iFW), was used to quantify GM microstructure by eliminating cerebrospinal fluid contribution. Additionally, we assessed whether these measures differentiated the CHR-P from the CHR-NP. In addition, for completeness, we also investigated changes in cortical thickness and in white matter (WM) microstructure. At baseline the CHR group had significantly higher iFW than HC in the prefrontal, temporal, parietal, and occipital lobes, while volume was reduced only in the temporal lobe. Neither iFW nor volume differentiated between the CHR-P and CHR-NP groups at baseline. However, in many brain areas, the CHR-P group demonstrated significantly accelerated changes (iFW increase and volume reduction) with time than the CHR-NP group. Cortical thickness provided similar results as volume, and there were no significant changes in WM microstructure. Our results demonstrate that microstructural GM changes in individuals at CHR have a wider extent than volumetric changes or microstructural WM changes, and they predate the acceleration of brain changes that occur around psychosis onset. Microstructural GM changes, as reflected by the increased iFW, are thus an early pathology at the prodromal stage of psychosis that may be useful for a better mechanistic understanding of psychosis development.

Indexed as

Diffusion Magnetic Resonance ImagingGray MatterPsychotic DisordersAdolescentAdultBrainCerebral CortexFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleRiskWaterWhite MatterYoung AdultWater

Identifiers

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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 Socratic graph.