Evidence map›Paper›PMID 26467751›Full record

ArticleHuman brain mapping2016

Sexual dimorphic abnormalities in white matter geometry common to schizophrenia and non-psychotic high-risk subjects: Evidence for a neurodevelopmental risk marker?

Peter Savadjiev, Larry J Seidman, Heidi Thermenos, Matcheri Keshavan, Susan Whitfield-Gabrieli, Tim J Crow, Marek Kubicki

Abstract read
In one paragraph

Article in Human brain mapping, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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.

Peter SavadjievDepartment of Psychiatry, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts.
Larry J SeidmanMassachusetts Mental Health Center, Division of Public Psychiatry, Boston, Massachusetts.
Heidi ThermenosMassachusetts Mental Health Center, Division of Public Psychiatry, Boston, Massachusetts.
Matcheri KeshavanDepartment of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Susan Whitfield-GabrieliDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts.
Tim J CrowSANE POWIC, University Department of Psychiatry, Warneford Hospital, Oxford, United Kingdom.
Marek KubickiDepartment of Psychiatry, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts.

Funding

Brain Maturation and Vulnerability to SchizophreniaR01MH064023 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KESHAVAN, MATCHERI S. · 2003 to 2008
$3.0M
Diffusion Imaging Biomarkers for Risk, Onset and Outcome in SchizophreniaR01MH102377 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI KUBICKI, MAREK · 2014 to 2018
$2.8M
Language and Risk for SchizophreniaR21MH083205 · NIMH · HARVARD MEDICAL SCHOOL · PI DELISI, LYNN ELEANOR · 2009 to 2010
$419k
NIA NIH HHS R01 AG04252NIMH NIH HHS R01 MH102377NIMH NIH HHS R01 MH64023NIMH NIH HHS R21 MH083205
6 · The paper itself

Abstract

The characterization of neurodevelopmental aspects of brain alterations require neuroimaging methods that reflect correlates of neurodevelopment, while being robust to other progressive pathological processes. Newly developed neuroimaging methods for measuring geometrical features of the white matter fall exactly into this category. Our recent work shows that such features, measured in the anterior corpus callosum in diffusion MRI data, correlate with psychosis symptoms in patients with adolescent onset schizophrenia and subside a reversal of normal sexual dimorphism. Here, we test the hypothesis that similar developmental deviations will also be present in nonpsychotic subjects at familial high risk (FHR) for schizophrenia, due to genetic predispositions. Demonstrating such changes would provide a strong indication of neurodevelopmental deviation extant before, and independent of pathological changes occurring after disease onset. We examined the macrostructural geometry of corpus callosum white matter in diffusion MRI data of 35 non-psychotic subjects with genetic (familial) risk for schizophrenia, and 26 control subjects, both male and female. We report a reversal of normal sexual dimorphism in callosal white matter geometry consistent with recent results in adolescent onset schizophrenia. This pattern may be indicative of an error in neurogenesis and a possible trait marker of schizophrenia.

Indexed as

Sex CharacteristicsAdultCorpus CallosumFemaleHumansImaging, Three-DimensionalMalePsychiatric Status Rating ScalesPsychotic DisordersSchizophreniaWhite MatterYoung Adultfamilial riskneurodevelopmentschizophreniasexual dimorphismwhite matter geometry

Identifiers

PMID26467751
PMCPMC6867261

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.