Evidence map›Paper›PMID 33377594›Full record

ArticleHuman brain mapping2021

Multimodal MRI assessment for first episode psychosis: A major change in the thalamus and an efficient stratification of a subgroup.

Andreia V Faria, Yi Zhao, Chenfei Ye, Johnny Hsu, Kun Yang, Elizabeth Cifuentes, Lei Wang, Susumu Mori, Michael Miller, Brian Caffo and 1 more

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Brain regions associated with olfactory dysfunction in first episode psychosis patients.The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry · 2023
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Neuroimaging in schizophrenia: A review article.Frontiers in neuroscience · 2022
    Review
  15. Article
  16. Neuroimaging alterations and relapse in early-stage psychosis.Journal of psychiatry & neuroscience : JPN
    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

11 authors at 5 institutions in 2 countries.

Andreia V FariaDepartment of Radiology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-1673-002X
Yi ZhaoDepartment of Biostatistics, Indiana University, School of Medicine, Indianapolis, Indiana, USA.
Chenfei YeDepartment of Electronics and Information, Harbin Institute of Technology Shenzhen Graduate School, Guangdong, China.
Johnny HsuDepartment of Radiology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Kun YangDepartment Psychiatry, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Elizabeth CifuentesDepartment Psychiatry, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Lei WangDepartment of Psychiatry and Behavioral Sciences and Radiology, Northwestern University, Evanston, Illinois, USA.ORCID 0000-0003-3870-3388
Susumu MoriDepartment of Radiology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Michael MillerDepartment of Biomedical Engineering, The Whiting School of Engineering, Baltimore, Maryland, USA.
Brian CaffoDepartment of Biostatistics, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Akira SawaDepartment Psychiatry, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Johns Hopkins University · USUniversity of Maryland, Baltimore · USIndiana University – Purdue University Indianapolis · USNorthwestern University · USShenzhen Institute of Information Technology · CN

Funding

Project 3P50MH094268 · NIMH · JOHNS HOPKINS UNIVERSITY · PI SAWA, AKIRA · 2011 to 2020
$19.9M
High throughput marker for cognitive deficit: cellular autofluorescenceR01MH107730 · NIMH · JOHNS HOPKINS UNIVERSITY · PI SAWA, AKIRA · 2018 to 2022
$3.0M
DISC1-dependent defects in neural fate, corticogenesis and cognition in psychosisR01MH105660 · NIMH · JOHNS HOPKINS UNIVERSITY · PI ISHIZUKA, KOKO, SAWA, AKIRA · 2014 to 2018
$2.8M
Oxidative stress and schizophrenia: combination of cell biology and brain imagingR01MH092443 · NIMH · JOHNS HOPKINS UNIVERSITY · PI SAWA, AKIRA · 2011 to 2015
$1.8M
NIMH NIH HHS 092443NIMH NIH HHS 094268NIMH NIH HHS 105660NIMH NIH HHS 107730NIMH NIH HHS P50 MH094268NIMH NIH HHS R01 MH107730
6 · The paper itself

Abstract

Multi-institutional brain imaging studies have emerged to resolve conflicting results among individual studies. However, adjusting multiple variables at the technical and cohort levels is challenging. Therefore, it is important to explore approaches that provide meaningful results from relatively small samples at institutional levels. We studied 87 first episode psychosis (FEP) patients and 62 healthy subjects by combining supervised integrated factor analysis (SIFA) with a novel pipeline for automated structure-based analysis, an efficient and comprehensive method for dimensional data reduction that our group recently established. We integrated multiple MRI features (volume, DTI indices, resting state fMRI-rsfMRI) in the whole brain of each participant in an unbiased manner. The automated structure-based analysis showed widespread DTI abnormalities in FEP and rs-fMRI differences between FEP and healthy subjects mostly centered in thalamus. The combination of multiple modalities with SIFA was more efficient than the use of single modalities to stratify a subgroup of FEP (individuals with schizophrenia or schizoaffective disorder) that had more robust deficits from the overall FEP group. The information from multiple MRI modalities and analytical methods highlighted the thalamus as significantly abnormal in FEP. This study serves as a proof-of-concept for the potential of this methodology to reveal disease underpins and to stratify populations into more homogeneous sub-groups.

Indexed as

Magnetic Resonance ImagingNeuroimagingPsychotic DisordersSchizophreniaThalamusAdolescentAdultConnectomeDiffusion Tensor ImagingFemaleHumansMaleProof of Concept StudyYoung AdultDTIfactor analysisfirst-episode psychosismultimodal MRIresting state fMRIschizophrenia

Identifiers

PMID33377594
PMCPMC7856640
OpenAlexW3115545675

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.