Evidence map›Paper›PMID 25883891›Full record

ArticleCurrent behavioral neuroscience reports2015

Neuroimaging Biomarkers for Psychosis.

Brandon M Hager, Matcheri S Keshavan

Abstract read
In one paragraph

Article in Current behavioral neuroscience reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
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  13. Biomarkers in Psychiatry - A Critique.Annals of neurosciences · 2016
    Article
  14. 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

2 authors.

Brandon M HagerMassachusetts Mental Health Center Division of Public Psychiatry, Beth Israel Deaconess Medical Center, Department of Psychiatry, Harvard Medical School, 75 Fenwood Road, 5th Floor, Boston, MA 02115 USA (617) 754-1244.
Matcheri S KeshavanMassachusetts Mental Health Center Division of Public Psychiatry, Beth Israel Deaconess Medical Center, Department of Psychiatry, Harvard Medical School, 75 Fenwood Road, 5th Floor, Boston, MA 02115 USA (617) 754-1256.

Funding

Stability of Biotypes: a Longitudinal EvaluationR01MH078113 · NIMH · WAYNE STATE UNIVERSITY · PI KESHAVAN, MATCHERI S. · 2007 to 2019
$6.2M
Brain Imaging, Cognitive Enhancement and Early SchizophreniaR01MH092440 · NIMH · BETH ISRAEL DEACONESS MEDICAL CENTER · PI KESHAVAN, MATCHERI S. · 2012 to 2016
$3.1M
4/6 Psychosis and Affective Research Domains and Intermediate Phenotypes (PARDIP)R01MH096942 · NIMH · BETH ISRAEL DEACONESS MEDICAL CENTER · PI KESHAVAN, MATCHERI S. · 2013 to 2015
$783k
NIMH NIH HHS R01 MH078113NIMH NIH HHS R01 MH092440NIMH NIH HHS R01 MH096942
6 · The paper itself

Abstract

backgroundBiomarkers provide clinicians with a predictable model for the diagnosis, treatment and follow-up of medical ailments. Psychiatry has lagged behind other areas of medicine in the identification of biomarkers for clinical diagnosis and treatment. In this review, we investigated the current state of neuroimaging as it pertains to biomarkers for psychosis.

methodsWe reviewed systematic reviews and meta-analyses of the structural (sMRI), functional (fMRI), diffusion-tensor (DTI), Positron emission tomography (PET) and spectroscopy (MRS) studies of subjects at-risk or those with an established schizophrenic illness. Only articles reporting effect-sizes and confidence intervals were included in an assessment of robustness.

resultsOut of the identified meta-analyses and systematic reviews, 21 studies met the inclusion criteria for assessment. There were 13 sMRI, 4 PET, 3 MRS, and 1 DTI studies. The search terms included in the current review encompassed familial high risk (FHR), clinical high risk (CHR), First episode (FES), Chronic (CSZ), schizophrenia spectrum disorders (SSD), and healthy controls (HC).

conclusionsCurrently, few neuroimaging biomarkers can be considered ready for diagnostic use in patients with psychosis. At least in part, this may be related to the challenges inherent in the current symptom-based approach to classifying these disorders. While available studies suggest a possible value of imaging biomarkers for monitoring disease progression, more systematic research is needed. To date, the best value of imaging data in psychoses has been to shed light on questions of disease pathophysiology, especially through the characterization of endophenotypes.

Indexed as

fMRIMRSneuroimaging biomarkersPETpsychosissMRI

Identifiers

PMID25883891
PMCPMC4394385

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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.