Evidence map›Paper›PMID 27450778›Full record

ReviewSchizophrenia research2016

The dysconnection hypothesis (2016).

Karl Friston, Harriet R Brown, Jakob Siemerkus, Klaas E Stephan

Abstract readReview
In one paragraph

Review in Schizophrenia research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 279 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
279citing papers in PubMed, 5 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

279 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  20. Network-based analysis of differential white matter connectivity in major depressive disorder with and without comorbid anxiety.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article

219 more citing papers are in PubMed but not listed here.

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

4 authors.

Karl FristonWellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, UK. Electronic address: k.friston@ucl.ac.uk.
Harriet R BrownWellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, UK; Oxford Centre for Human Brain Activity, University of Oxford, UK.
Jakob SiemerkusTranslational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Switzerland; Department of Psychiatry, Psychotherapy and Psychosomatics, Zurich, Switzerland.
Klaas E StephanTranslational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Switzerland.

Funding

Wellcome Trust 088130/Z/09/Z
6 · The paper itself

Abstract

Twenty years have passed since the dysconnection hypothesis was first proposed (Friston and Frith, 1995; Weinberger, 1993). In that time, neuroscience has witnessed tremendous advances: we now live in a world of non-invasive neuroanatomy, computational neuroimaging and the Bayesian brain. The genomics era has come and gone. Connectomics and large-scale neuroinformatics initiatives are emerging everywhere. So where is the dysconnection hypothesis now? This article considers how the notion of schizophrenia as a dysconnection syndrome has developed - and how it has been enriched by recent advances in clinical neuroscience. In particular, we examine the dysconnection hypothesis in the context of (i) theoretical neurobiology and computational psychiatry; (ii) the empirical insights afforded by neuroimaging and associated connectomics - and (iii) how bottom-up (molecular biology and genetics) and top-down (systems biology) perspectives are converging on the mechanisms and nature of dysconnections in schizophrenia.

Indexed as

Models, NeurologicalAnimalsBrainHumansSchizophreniaBayesianDysconnectionNeurogeneticsNeuromodulationPredictive codingSchizophrenia

Identifiers

PMID27450778
PMCPMC5147460

What OpenQuestion holds

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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.