Cited by 93Functional Brain Connectivity StudiesSchizophrenia research and treatmentNeural and Behavioral Psychology Studies

Brain Connectivity Abnormalities Predating the Onset of Psychosis: Correlation With the Effect of Medication

Open access
Schmidt, André, Smieskova, Renata, Aston, Jacqueline, Simon, Andor, Allen, Paul, Fusar-Poli, Paolo, McGuire, Philip K., Riecher-Rössler, Anita +2 more·2013·JAMA Psychiatry

Abstract

IMPORTANCE: Brain imaging studies have identified robust changes in brain structure and function during the development of psychosis, but the contribution of abnormal brain connectivity to the onset of psychosis is unclear. Furthermore, antipsychotic treatment can modulate brain activity and functional connectivity during cognitive tasks. OBJECTIVES: To investigate whether dysfunctional brain connectivity during working memory (WM) predates the onset of psychosis and whether connectivity parameters are related to antipsychotic treatment. DESIGN: Dynamic causal modeling study of functional magnetic resonance imaging data. SETTING: Participants were recruited from the specialized clinic for the early detection of psychosis at the Department of Psychiatry, University of Basel, Basel, Switzerland. PARTICIPANTS: Seventeen participants with an at-risk mental state (mean [SD] age, 25.24 [6.3] years), 21 individuals with first-episode psychosis (mean [SD] age, 28.57 [7.2] years), and 20 healthy controls (mean [SD] age, 26.5 [4] years). MAIN OUTCOME AND MEASURE: Functional magnetic resonance imaging data were recorded while participants performed an N-back WM task. Functional interactions among brain regions involved in WM, in particular between frontal and parietal brain regions, were characterized using dynamic causal modeling. Bayesian model selection was performed to evaluate the likelihood of alternative WM network architectures across groups, whereas bayesian model averaging was used to examine group differences in connection strengths. RESULTS: We observed a progressive reduction in WM-induced modulation of connectivity from the middle frontal gyrus to the superior parietal lobule in the right hemisphere in healthy controls, at-risk mental state participants, and first-episode psychosis patients. Notably, the abnormal modulation of connectivity in first-episode psychosis patients was normalized by treatment with antipsychotics. CONCLUSIONS AND RELEVANCE: Our findings suggest that the vulnerability to psychosis is associated with a progressive failure of functional integration of brain regions involved in WM processes, including visual encoding and rule updating, and that treatment with antipsychotics may have the potential to counteract this.

Integrity signals

Registry

Crossref · 10.1001/jamapsychiatry.2013.117

Cites

63 of 63 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • DCM studies in schizophrenia demonstrated differences in functional network architecture and effective connectivity compared to healthy controls across various tasks.

    “These studies demonstrated differences in functional network architecture and effective connectivity compared to healthy controls across various tasks.”
  • Validation studies in humans and animals show that DCM for EEG can capture short-term changes in synaptic efficacy, such as neuromodulation of glutamatergic receptor conductances, and distinguish different types of synaptic plasticity in cortical microcircuits.

    “Validation studies in humans and animals have shown that DCM for EEG is capable of capturing short-term changes in synaptic efficacy, such as neuromodulation of glutamatergic receptor conductances, and distinguish different types of synaptic plasticity in cortical microcircuits (66, 132, 138–140)”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Schmidt, A., Smieskova, R., Aston, J., Simon, A., Allen, P., Fusar-Poli, P., McGuire, P. K., Riecher-Rössler, A., Stephan, K. E., & Borgwardt, S.
Affiliations
  • University of Basel (CH)
  • University of Bern (CH)
  • King's College London (GB)
  • National Health Service (GB)
  • Wellcome Centre for Human Neuroimaging (GB)
Venue
JAMA Psychiatry
Published
2013-09-01
Volume
70
Issue
9
Pages
903
ISSN
2168-622X (ISSN-L)
OpenAlex
W2127229574
Cited by
93
References
62
Citations by year
2026: 2 · 2025: 3 · 2024: 2 · 2023: 4 · 2022: 3 · 2021: 4 · 2020: 2 · 2019: 10 · 2018: 4 · 2017: 11 · 2016: 13 · 2015: 17 · 2014: 15 · 2013: 3
FWCI
8.74
Type
journal article
Language
en
Open access
Licence
other-oa
Locations
  • JAMA Psychiatry (publishedVersion)
  • PubMed (publishedVersion)
  • edoc (University of Basel) (acceptedVersion, other-oa)
  • Zurich Open Repository and Archive (University of Zurich) (acceptedVersion)
  • Research Portal (King's College London) (submittedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
Funders
Wellcome Trust (091593)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords
psychosis, clinical high risk for psychosis, first-episode psychosis, working memory, functional connectivity, dynamic causal modeling, antipsychotic drugs, frontoparietal network, middle frontal gyrus, superior parietal lobule, n-back task, rule updating, visual encoding, early detection of psychosis
MeSH terms
Adult, Brain, Brain Mapping, Female, Humans, Magnetic Resonance Imaging, Male, Memory, Short-Term, Nerve Net, Neuropsychological Tests, Psychotic Disorders, Switzerland, Antipsychotic Agents, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review