Neural Correlates of Social Touch and Interoceptive Perception As Potential Biomarker for Impaired Social Functioning
NCT ID: NCT04968223
Last Updated: 2024-12-09
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
106 participants
OBSERVATIONAL
2021-08-16
2024-11-30
Brief Summary
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Detailed Description
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In this longitudinal, observational study, 60 patients with schizophrenia and 40 healthy subjects without family history of psychotic illness will be recruited to investigate differences in behavioural, physiological, and neural correlates of social touch and interoceptive perception between participant groups. Participants' symptom severity and psychosocial functioning level will be examined by a wide range of behavioural, physiological, and neural methods. Potential biomarkers will be identified by estimating the predictive value of initially performed methods on follow-up re-examination of clinical and psychosocial outcomes. Neural readouts include structural and functional magnetic resonance imaging (fMRI) measurements. The fMRI tasks will probe the processing of social touch and interoceptive perception; additionally resting-state connectivity will be assessed. To further investigate pathological distortions of social touch and interoceptive perception, bodily touch allowance maps will be measured and participants will perform a heart-beat discrimination task. Psychometric questionnaires and semi-structured interviews will be used to capture symptom load and level of psychosocial functioning. Long-term effects will be assessed by online questionnaires and semi-structured interviews via phone call 3- and 6 months after initial assessments. The investigators hypothesize that differences in the neural response to social touch as well as in the neural patterns of interoceptive perception could serve as potential biomarkers for psychosocial deficits during the course of the illness. Furthermore, the inclusion of those biomarkers in predictive models could improve the prediction of disease progression and thus, contribute to personalized therapy.
Conditions
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Keywords
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Study Design
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CASE_CONTROL
PROSPECTIVE
Study Groups
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Patient Group
Patients with Schizophrenia
No interventions assigned to this group
Control Group
Healthy subjects without family history of psychotic illness
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* Diagnosis of schizophrenia or schizoaffective disorder according to DSM-V
* Control group: No psychiatric or neurological illness.
* Fluent in German.
Exclusion Criteria
* Acute suicidality.
* Current substance dependence.
* A history of head trauma or neurological illness.
18 Years
65 Years
ALL
Yes
Sponsors
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Danilo Postin, M.Sc.
UNKNOWN
University of Oldenburg
OTHER
Responsible Party
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Dirk Scheele
Deputy Lab Head
Principal Investigators
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René Hurlemann, Prof.
Role: PRINCIPAL_INVESTIGATOR
Department of Psychiatry, University of Oldenburg
Dirk Scheele, Dr.
Role: PRINCIPAL_INVESTIGATOR
Department of Psychiatry, University of Oldenburg
Danilo Postin, M.Sc.
Role: STUDY_DIRECTOR
Department of Psychiatry, University of Oldenburg
Locations
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Department of Psychiatry, University of Oldenburg
Bad Zwischenahn, , Germany
Countries
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Other Identifiers
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SPIRIT
Identifier Type: -
Identifier Source: org_study_id