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Are neurological soft signs pre-existing markers in individuals with an at-risk mental state for psychosis?
- Publication Year :
- 2013
- Publisher :
- Elsevier, 2013.
-
Abstract
- Neurological soft signs (NSS) are more common in schizophrenic psychoses and in genetically high-risk individuals than in healthy controls. But nothing is known so far regarding individuals with a clinical at-risk mental state (ARMS). The goals of our study therefore were (a) to compare the NSS frequency in ARMS individuals to that of first-episode psychosis (FEP) patients and (b) to test whether NSS could predict the transition to psychosis. Neurological soft signs were assessed using a shortened version of the Neurological Evaluation Scale (NES). Fifty-three ARMS individuals (16 with later transition to psychosis=ARMS-T, and 37 without transition=ARMS-NT) and 27 FEP patients were recruited through the Basel Early Detection Clinic FePsy. Of the FEP patients 37% showed NSS. We found no significant differences between FEP and ARMS-T patients or between ARMS-NT and ARMS-T. Our findings of NSS being present already before transition to psychosis to the same extent as after transition provide further support to the neurodevelopmental hypothesis of schizophrenic psychoses. Furthermore, our findings might indicate that ARMS-NT individuals also suffer from some sort of neurodevelopmental abnormalities.
- Subjects :
- Adult
Male
Risk
medicine.medical_specialty
Psychosis
Adolescent
Early detection
Neuropsychological Tests
Neurological soft signs
Severity of Illness Index
Young Adult
Neurodevelopmental disorder
Predictive Value of Tests
Risk Factors
medicine
Humans
Genetic Predisposition to Disease
Psychiatry
Biological Psychiatry
Neurologic Examination
Psychiatric Status Rating Scales
At risk mental state
medicine.disease
Psychiatry and Mental health
Early Diagnosis
Psychotic Disorders
Mental state
Schizophrenia
Female
Schizophrenic Psychology
Psychology
Biomarkers
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....ea8f920591f9c7ad36dfca4d9572dd05
- Full Text :
- https://doi.org/10.5451/unibas-ep68289