Evidence map›Paper›PMID 27070408›Full record

ArticleTranslational psychiatry2016

Multiple markers of cortical morphology reveal evidence of supragranular thinning in schizophrenia.

K Wagstyl, L Ronan, K J Whitaker, I M Goodyer, N Roberts, T J Crow, P C Fletcher

Abstract read
In one paragraph

Article in Translational psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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  12. Longitudinal Allometry of Sulcal Morphology in Health and Schizophrenia.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
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  13. Frontiers in neuroinformatics · 2022
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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.

K WagstylBrain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK.
L RonanBrain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK.
K J WhitakerBrain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK.
I M GoodyerDevelopmental and Life-course Research Group, Department of Psychiatry, University of Cambridge, Cambridge, UK.
N RobertsClinical Research Imaging Centre, School of Clinical Sciences, University of Edinburgh, Edinburgh, UK.
T J CrowDepartment of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK.
P C FletcherBrain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK.

Funding

Wellcome Trust 093875
6 · The paper itself

Abstract

In vivo structural neuroimaging can reliably identify changes to cortical morphology and its regional variation but cannot yet relate these changes to specific cortical layers. We propose, however, that by synthesizing principles of cortical organization, including relative contributions of different layers to sulcal and gyral thickness, regional patterns of variation in thickness of different layers across the cortical sheet and profiles of layer variation across functional hierarchies, it is possible to develop indirect morphological measures as markers of more specific cytoarchitectural changes. We developed four indirect measures sensitive to changes specifically occurring in supragranular cortical layers, and applied these to test the hypothesis that supragranular layers are disproportionately affected in schizophrenia. Our findings from the four different measures converge to indicate a predominance of supragranular thinning in schizophrenia, independent of medication and illness duration. We propose that these indirect measures offer novel ways of identifying layer-specific cortical changes, offering complementary in vivo observations to existing post-mortem studies.

Indexed as

AdultCerebral CortexFemaleHumansMagnetic Resonance ImagingMaleSchizophrenia

Identifiers

PMID27070408
PMCPMC4872401

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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.