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Moment-to-Moment Br...
Moment-to-Moment Brain Signal Variability Reliably Predicts Psychiatric Treatment Outcome
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- Månsson, Kristoffer N. T. (författare)
- Karolinska Institutet,Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
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- Waschke, Leonhard (författare)
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
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- Manzouri, Amirhossein (författare)
- Stockholms universitet,Biologisk psykologi,Department of Psychology, Stockholm University, Stockholm, Sweden
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- Furmark, Tomas (författare)
- Uppsala universitet,Institutionen för psykologi
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- Fischer, Håkan (författare)
- Stockholms universitet,Biologisk psykologi,Department of Psychology, Stockholm University, Stockholm, Sweden; Stockholm University Brain Imaging Centre, Stockholm, Sweden
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- Garrett, Douglas D. (författare)
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
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(creator_code:org_t)
- Elsevier, 2022
- 2022
- Engelska.
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Ingår i: Biological Psychiatry. - : Elsevier. - 0006-3223 .- 1873-2402. ; 91:7, s. 658-666
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Abstract
Ämnesord
Stäng
- Background: Biomarkers of psychiatric treatment response remain elusive. Functional magnetic resonance imaging (fMRI) has shown promise, but low reliability has limited the utility of typical fMRI measures (e.g., average brain signal) as harbingers of treatment success. Notably, although historically considered a source of noise, temporal brain signal variability continues to gain momentum as a sensitive and reliable indicator of individual differences in neural efficacy, yet has not been examined in relation to psychiatric treatment outcomes.Methods: A total of 45 patients with social anxiety disorder were scanned twice (11 weeks apart) using simple task-based and resting-state fMRI to capture moment-to-moment neural variability. After fMRI test-retest, patients underwent a 9-week cognitive behavioral therapy. Multivariate modeling and reliability-based cross-validation were used to perform brain-based prediction of treatment outcomes.Results: Task-based brain signal variability was the strongest contributor in a treatment outcome prediction model (total rACTUAL,PREDICTED = 0.77), outperforming self-reports, resting-state neural variability, and standard mean-based measures of neural activity. Notably, task-based brain signal variability showed excellent test-retest reliability (intraclass correlation coefficient = 0.80), even with a task length less than 3 minutes long.Conclusions: Rather than a source of undesirable noise, moment-to-moment fMRI signal variability may instead serve as a highly reliable and efficient prognostic indicator of clinical outcome.
Ämnesord
- SAMHÄLLSVETENSKAP -- Psykologi (hsv//swe)
- SOCIAL SCIENCES -- Psychology (hsv//eng)
Nyckelord
- CBT
- fMRI signal variability
- prediction
- resting state
- social anxiety disorder
- psykologi
- Psychology
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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