Evidence map›Paper›PMID 33027802›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2021

A multivariate neuromonitoring approach to neuroplasticity-based computerized cognitive training in recent onset psychosis.

Shalaila S Haas, Linda A Antonucci, Julian Wenzel, Anne Ruef, Bruno Biagianti, Marco Paolini, Boris-Stephan Rauchmann, Johanna Weiske, Joseph Kambeitz, Stefan Borgwardt and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Altered Brain-Behavior Association During Resting State is a Potential Psychosis Risk Marker.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. The impact of visual dysfunctions in recent-onset psychosis and clinical high-risk state for psychosis.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Article
  11. Review
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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

17 authors at 10 institutions in 6 countries.

Shalaila S HaasDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0003-1385-1050
Linda A AntonucciDepartment of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany.
Julian WenzelUniversity of Cologne, Faculty of Medicine and University Hospital of Cologne, Cologne, Germany.
Anne RuefDepartment of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany.
Bruno BiagiantiDepartment of R&D, Posit Science Corporation, San Francisco, CA, USA.
Marco PaoliniDepartment of Radiology, University Hospital, Ludwig-Maximilian University, Munich, Germany.
Boris-Stephan RauchmannDepartment of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany.
Johanna WeiskeDepartment of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany.
Joseph KambeitzUniversity of Cologne, Faculty of Medicine and University Hospital of Cologne, Cologne, Germany.ORCID http://orcid.org/0000-0002-8988-3959
Stefan BorgwardtTranslational Psychiatry Unit (TPU), Department of Psychiatry and Psychotherapy, University of Luebeck, Luebeck, Germany.ORCID http://orcid.org/0000-0002-5792-3987
Paolo BrambillaDepartment of Neuroscience and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.ORCID http://orcid.org/0000-0002-4021-8456
Eva MeisenzahlDepartment of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany.
Raimo K R SalokangasDepartment of Psychiatry, University of Turku, Turku, Finland.ORCID http://orcid.org/0000-0002-8532-1596
Rachel UpthegroveSchool of Psychology, University of Birmingham, Birmingham, United Kingdom.
Stephen J WoodSchool of Psychology, University of Birmingham, Birmingham, United Kingdom.
Nikolaos Koutsouleris *Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany.
Lana Kambeitz-Ilankovic *Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany. lana.kambeitz-ilankovic@uk-koeln.de.
Ludwig-Maximilians-Universität München · DEUniversity of Cologne · DEUniversity of Milan · ITHeinrich Heine University Düsseldorf · DEIcahn School of Medicine at Mount Sinai · USInstitute of Mental Health · GBThe University of Melbourne · AUUniversity of Bari Aldo Moro · ITUniversity of Lübeck · DEUniversity of Turku · FI

Funding

Wiring Adolescents With Social Anxiety via Behavioral Interventions (WASABI): a closed-loop mobile intervention to reduce social anxiety and improve social skillsR43MH121209 · NIMH · POSIT SCIENCE CORPORATION · PI BIAGIANTI, BRUNO · 2019 to 2019
$244k
NIMH NIH HHS R43 MH121209
6 · The paper itself

Abstract

Two decades of studies suggest that computerized cognitive training (CCT) has an effect on cognitive improvement and the restoration of brain activity. Nevertheless, individual response to CCT remains heterogenous, and the predictive potential of neuroimaging in gauging response to CCT remains unknown. We employed multivariate pattern analysis (MVPA) on whole-brain resting-state functional connectivity (rsFC) to (neuro)monitor clinical outcome defined as psychosis-likeness change after 10-hours of CCT in recent onset psychosis (ROP) patients. Additionally, we investigated if sensory processing (SP) change during CCT is associated with individual psychosis-likeness change and cognitive gains after CCT. 26 ROP patients were divided into maintainers and improvers based on their SP change during CCT. A support vector machine (SVM) classifier separating 56 healthy controls (HC) from 35 ROP patients using rsFC (balanced accuracy of 65.5%, P < 0.01) was built in an independent sample to create a naturalistic model representing the HC-ROP hyperplane. This model was out-of-sample cross-validated in the ROP patients from the CCT trial to assess associations between rsFC pattern change, cognitive gains and SP during CCT. Patients with intact SP threshold at baseline showed improved attention despite psychosis status on the SVM hyperplane at follow-up (p < 0.05). Contrarily, the attentional gains occurred in the ROP patients who showed impaired SP at baseline only if rsfMRI diagnosis status shifted to the healthy-like side of the SVM continuum. Our results reveal the utility of MVPA for elucidating treatment response neuromarkers based on rsFC-SP change and pave the road to more personalized interventions.

Indexed as

Cognition DisordersPsychotic DisordersBrainCognitionHumansNeuronal Plasticity

Identifiers

PMID33027802
PMCPMC8027389
OpenAlexW3092091195

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.