Evidence map›Paper›PMID 26065881›Full record

ArticleJournal of negative results in biomedicine2015

A systematic examination of brain volumetric abnormalities in recent-onset schizophrenia using voxel-based, surface-based and region-of-interest-based morphometric analyses.

John P John, Ammu Lukose, Bhavani Shankara Bagepally, Harsha N Halahalli, Nagaraj S Moily, Anupa A Vijayakumari, Sanjeev Jain

Open access · hybridAbstract read
In one paragraph

Article in Journal of negative results in biomedicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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 1 institution in 1 country.

John P JohnAdditional Professor of Psychiatry & Adjunct Faculty of Clinical Neurosciences, Multimodal Brain Image Analysis Laboratory (MBIAL), National Institute of Mental Health and Neurosciences (NIMHANS), P.B. No. 2900, Dharmaram P.O., Hosur Road, Bangalore, 560 029, Karnataka, India. jpjnimhans@gmail.com.
Ammu LukoseAdditional Professor of Psychiatry & Adjunct Faculty of Clinical Neurosciences, Multimodal Brain Image Analysis Laboratory (MBIAL), National Institute of Mental Health and Neurosciences (NIMHANS), P.B. No. 2900, Dharmaram P.O., Hosur Road, Bangalore, 560 029, Karnataka, India. ammu18lukose@gmail.com.
Bhavani Shankara BagepallyAdditional Professor of Psychiatry & Adjunct Faculty of Clinical Neurosciences, Multimodal Brain Image Analysis Laboratory (MBIAL), National Institute of Mental Health and Neurosciences (NIMHANS), P.B. No. 2900, Dharmaram P.O., Hosur Road, Bangalore, 560 029, Karnataka, India. bshankara@gmail.com.
Harsha N HalahalliAdditional Professor of Psychiatry & Adjunct Faculty of Clinical Neurosciences, Multimodal Brain Image Analysis Laboratory (MBIAL), National Institute of Mental Health and Neurosciences (NIMHANS), P.B. No. 2900, Dharmaram P.O., Hosur Road, Bangalore, 560 029, Karnataka, India. hnharsha@gmail.com.
Nagaraj S MoilyDepartment of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India. nagaraj.s.moily@gmail.com.
Anupa A VijayakumariAdditional Professor of Psychiatry & Adjunct Faculty of Clinical Neurosciences, Multimodal Brain Image Analysis Laboratory (MBIAL), National Institute of Mental Health and Neurosciences (NIMHANS), P.B. No. 2900, Dharmaram P.O., Hosur Road, Bangalore, 560 029, Karnataka, India. av.anupa@gmail.com.
Sanjeev JainDepartment of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India. sjain.nimhans@gmail.com.
National Institute of Mental Health and Neurosciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBrain morphometric abnormalities in schizophrenia have been extensively reported in the literature. Whole-brain volumetric reductions are almost universally reported by most studies irrespective of the characteristics of the samples studied (e.g., chronic/recent-onset; medicated/neuroleptic-naïve etc.). However, the same cannot be said of the reported regional morphometric abnormalities in schizophrenia. While certain regional morphometric abnormalities are more frequently reported than others, there are no such abnormalities that are universally reported across studies. Variability of socio-demographic and clinical characteristics across study samples as well as technical and methodological issues related to acquisition and analyses of brain structural images may contribute to inconsistency of brain morphometric findings in schizophrenia. The objective of the present study therefore was to systematically examine brain morphometry in patients with recent-onset schizophrenia to find out if there are significant whole-brain or regional volumetric differences detectable at the appropriate significance threshold, after attempting to control for various confounding factors that could impact brain volumes.

methodsStructural magnetic resonance images of 90 subjects (schizophrenia = 45; healthy subjects = 45) were acquired using a 3 Tesla magnet. Morphometric analyses were carried out following standard analyses pipelines of three most commonly used strategies, viz., whole-brain voxel-based morphometry, whole-brain surface-based morphometry, and between-group comparisons of regional volumes generated by automated segmentation and parcellation.

resultsIn our sample of patients having recent-onset schizophrenia with limited neuroleptic exposure, there were no significant whole brain or regional brain morphometric abnormalities noted at the appropriate statistical significance thresholds with or without including age, gender and intracranial volume or total brain volume in the statistical analyses.

conclusionsIn the background of the conflicting findings in the literature, our findings indicate that brain morphometric abnormalities may not be directly related to the schizophrenia phenotype. Analysis of the reasons for the inconsistent results across studies as well as consideration of alternate sources of variability of brain morphology in schizophrenia such as epistatic and epigenetic mechanisms could perhaps advance our understanding of structural brain alterations in schizophrenia.

Indexed as

AdolescentAdultBrainBrain MappingEarly DiagnosisHumansMaleMiddle AgedOrgan SizeSchizophreniaYoung Adult

Identifiers

PMID26065881
PMCPMC4464994
OpenAlexW1487174505

What OpenQuestion holds

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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 OpenQuestion graph.