Evidence map›Paper›PMID 30215783›Full record

ArticleSchizophrenia bulletin2019

Linking Cortical and Connectional Pathology in Schizophrenia.

Maria Angelique Di Biase, Vanessa L Cropley, Luca Cocchi, Alexander Fornito, Fernando Calamante, Eleni P Ganella, Christos Pantelis, Andrew Zalesky

Open access · bronzeAbstract read
In one paragraph

Article in Schizophrenia bulletin, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.3field-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

19 citing papers in PubMed, 36 citations in OpenAlex.

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  10. Dissociation between neuroanatomical and symptomatic subtypes in schizophrenia.European psychiatry : the journal of the Association of European Psychiatrists · 2023
    Article
  11. The decoupling of structural and functional connectivity of auditory networks in individuals at clinical high-risk for psychosis.The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry · 2023
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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

8 authors at 5 institutions in 2 countries.

Maria Angelique Di BiaseMelbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, Australia.
Vanessa L CropleyMelbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, Australia.
Luca CocchiQIMR Berghofer Medical Research Institute, Brisbane, Australia.
Alexander FornitoBrain and Mental Health Research Hub, Monash University, Clayton, Australia.
Fernando CalamanteSydney Imaging and School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney, Sydney, Australia.
Eleni P GanellaMelbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, Australia.
Christos PantelisMelbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, Australia.
Andrew ZaleskyMelbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, Australia.
The University of Melbourne · AUBrigham and Women's Hospital · USMonash University · AUQIMR Berghofer Medical Research Institute · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schizophrenia is associated with cortical thickness (CT) deficits and breakdown in white matter microstructure. Whether these pathological processes are related remains unclear. We used multimodal neuroimaging to investigate the relationship between regional cortical thinning and breakdown in adjacent infracortical white matter as a function of age and illness duration. Structural magnetic resonance and diffusion images were acquired in 218 schizophrenia patients and 167 age-matched healthy controls to map CT and fractional anisotropy in regionally adjacent infracortical white matter at various cortical depths. We found a robust and reproducible relationship between thickness and anisotropy deficits, which were inversely correlated across cortical regions (r = -.5, P < .0001): the most anisotropic infracortical white matter was found adjacent to regions with extensive cortical thinning. This pattern was evident in early (20 y: r = -.3, P = .005) and middle life (30 y: r = -.4, P = .004, 40 y: r = -.3, P = .04), but not beyond 50 years (P > .05). Frontal pathology contributed most to this pattern, with cortical thinning in patients compared to controls at all ages (P < .05); in contrast to initially elevated frontal white matter anisotropy in patients at 30 years, followed by rapid white matter decline with age (rate of annual decline; patients: 0.0012, controls 0.0006, P < .001). Our findings point to pathological dependencies between gray and white matter in a large sample of schizophrenia patients. We argue that elevated frontal anisotropy reflects regionally-specific, compensatory responses to cortical thinning, which are eventually overwhelmed with increasing illness duration.

Indexed as

AdultCerebral CortexDiffusion Tensor ImagingFemaleFrontal LobeHumansMagnetic Resonance ImagingMaleMiddle AgedNerve NetNeuroimagingPsychotic DisordersSchizophreniaWhite Mattercomputational psychiatrycortical thicknessdiffusionmultimodal imagingneuropsychiatrytractography

Identifiers

PMID30215783
PMCPMC6581130
OpenAlexW2794447615

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.