Evidence map›Paper›PMID 36921060›Full record

ArticleSchizophrenia bulletin2023

Microstructural and Microvascular Alterations in Psychotic Spectrum Disorders: A Three-Compartment Intravoxel Incoherent Imaging and Free Water Model.

Faye McKenna, Pradeep Kumar Gupta, Yu Veronica Sui, Hilary Bertisch, Oded Gonen, Donald C Goff, Mariana Lazar

Open access · greenAbstract read
In one paragraph

Article in Schizophrenia bulletin, 2023. 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
0.9field-weighted citation impact, top 26% of its field
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, 4 citations in OpenAlex.

  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

7 authors at 3 institutions in 1 country.

Faye McKennaCenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA.
Pradeep Kumar GuptaCenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA.ORCID 0000-0002-4036-3899
Yu Veronica SuiCenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA.
Hilary BertischNorthwell Health, Zucker Hillside Hospital, New York, NY, USA.
Oded GonenCenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA.
Donald C GoffDepartment of Psychiatry, New York University School of Medicine, New York, NY, USA.
Mariana LazarCenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA.ORCID 0000-0001-9285-8124
New York University · USNathan Kline Institute for Psychiatric Research · USNorthwell Health · US

Funding

The Role of Dysmyelination in Cognitive Impairment of Psychotic Spectrum DisordersR01MH108962 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LAZAR, MARIANA · 2016 to 2020
$2.5M
NIMH NIH HHS R01 MH108962
6 · The paper itself

Abstract

background and hypothesisMicrovascular and inflammatory mechanisms have been hypothesized to be involved in the pathophysiology of psychotic spectrum disorders (PSDs). However, data evaluating these hypotheses remain limited. STUDY

designWe applied a three-compartment intravoxel incoherent motion free water imaging (IVIM-FWI) technique that estimates the perfusion fraction (PF), free water fraction (FW), and anisotropic diffusion of tissue (FAt) to examine microvascular and microstructural changes in gray and white matter in 55 young adults with a PSD compared to 37 healthy controls (HCs). STUDY

resultsWe found significantly increased PF, FW, and FAt in gray matter regions, and significantly increased PF, FW, and decreased FAt in white matter regions in the PSD group versus HC. Furthermore, in patients, but not in the HC group, increased PF, FW, and FAt in gray matter and increased PF in white matter were significantly associated with poor performance on several cognitive tests assessing memory and processing speed. We additionally report significant associations between IVIM-FWI metrics and myo-inositol, choline, and N-acetylaspartic acid magnetic resonance spectroscopy imaging metabolites in the posterior cingulate cortex, which further supports the validity of PF, FW, and FAt as microvascular and microstructural biomarkers of PSD. Finally, we found significant relationships between IVIM-FWI metrics and the duration of psychosis in gray and white matter regions.

conclusionsThe three-compartment IVIM-FWI model provides metrics that are associated with cognitive deficits and may reflect disease progression.

Indexed as

Diffusion Magnetic Resonance ImagingWhite MatterCerebral CortexGray MatterHumansMagnetic Resonance ImagingYoung Adultdiffusion MRIfree watergray matterinflammationmagnetic resonance spectroscopy imagingmemoryperfusionwhite matter

Identifiers

PMID36921060
PMCPMC10686346
OpenAlexW4324322205

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.