Evidence map›Paper›PMID 25379427›Full record

Trial reportNeuroImage. Clinical2014

Changing facial affect recognition in schizophrenia: effects of training on brain dynamics.

Petia Popova, Tzvetan G Popov, Christian Wienbruch, Almut M Carolus, Gregory A Miller, Brigitte S Rockstroh

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in NeuroImage. Clinical, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01781000 (Training-induced Cerebral Reorganization in Schizophrenia), which is not on this map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 13% 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.

NCT01781000 nacompletednot on this map

Training-induced Cerebral Reorganization in Schizophrenia

TypeinterventionalSponsorUniversity of KonstanzRan2011 to 2014Enrolled80ConditionsSchizophreniaArmsBrain Fitness & Brain Training- Posit Science, Facial Affect Training- FAT, Treatment as usual
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Review
  6. Review
  7. Empathy and Social Attribution Skills Moderate the Relationship between Temporal Lobe Volume and Facial Expression Recognition Ability in Schizophrenia.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2020
    Article
  8. One-Month Stability of Cyberball Post-Exclusion Ostracism Distress in Adolescents.Journal of psychopathology and behavioral assessment · 2019
    Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Review
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

6 authors at 2 institutions in 2 countries.

Petia PopovaDepartment of Psychology, University of Konstanz, Konstanz, Germany.
Tzvetan G PopovDepartment of Psychology, University of Konstanz, Konstanz, Germany.
Christian WienbruchDepartment of Psychology, University of Konstanz, Konstanz, Germany.
Almut M CarolusDepartment of Psychology, University of Konstanz, Konstanz, Germany.
Gregory A MillerDepartments of Psychology & Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA.
Brigitte S RockstrohDepartment of Psychology, University of Konstanz, Konstanz, Germany.
University of Konstanz · DEUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deficits in social cognition including facial affect recognition and their detrimental effects on functional outcome are well established in schizophrenia. Structured training can have substantial effects on social cognitive measures including facial affect recognition. Elucidating training effects on cortical mechanisms involved in facial affect recognition may identify causes of dysfunctional facial affect recognition in schizophrenia and foster remediation strategies. In the present study, 57 schizophrenia patients were randomly assigned to (a) computer-based facial affect training that focused on affect discrimination and working memory in 20 daily 1-hour sessions, (b) similarly intense, targeted cognitive training on auditory-verbal discrimination and working memory, or (c) treatment as usual. Neuromagnetic activity was measured before and after training during a dynamic facial affect recognition task (5 s videos showing human faces gradually changing from neutral to fear or to happy expressions). Effects on 10-13 Hz (alpha) power during the transition from neutral to emotional expressions were assessed via MEG based on previous findings that alpha power increase is related to facial affect recognition and is smaller in schizophrenia than in healthy subjects. Targeted affect training improved overt performance on the training tasks. Moreover, alpha power increase during the dynamic facial affect recognition task was larger after affect training than after treatment-as-usual, though similar to that after targeted perceptual-cognitive training, indicating somewhat nonspecific benefits. Alpha power modulation was unrelated to general neuropsychological test performance, which improved in all groups. Results suggest that specific neural processes supporting facial affect recognition, evident in oscillatory phenomena, are modifiable. This should be considered when developing remediation strategies targeting social cognition in schizophrenia.

Indexed as

AffectFacial ExpressionSchizophrenic PsychologyAdultBrainBrain MappingFemaleHumansMagnetometryMaleMiddle AgedNeuropsychological TestsPhotic StimulationRecognition, PsychologySchizophreniaAlpha oscillationsBrain rhythmsCognitive trainingFacial affectMEGSchizophrenia

Identifiers

PMID25379427
PMCPMC4215531
OpenAlexW2004334991

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.