The self, neuroscience and psychosis study: Testing a neurophenomenological model of the onset of psychosis
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Aim: Basic self disturbance is a putative core vulnerability marker of schizophrenia spectrum disorders. The primary aims of the Self, Neuroscience and Psychosis (SNAP) study are to: (1) empirically test a previously described neurophenomenological self-disturbance model of psychosis by examining the relationship between specific clinical, neurocognitive, and neurophysiological variables in UHR patients, and (2) develop a prediction model using these neurophenomenological disturbances for persistence or deterioration of UHR symptoms at 12-month follow-up. Methods: SNAP is a longitudinal observational study. Participants include 400 UHR individuals, 100 clinical controls with no attenuated psychotic symptoms, and 50 healthy controls. All participants complete baseline clinical and neurocognitive assessments and electroencephalography. The UHR sample are followed up for a total of 24 months, with clinical assessment completed every 6 months. Results: This paper presents the protocol of the SNAP study, including background rationale, aims and hypotheses, design, and assessment procedures. Conclusions: The SNAP study will test whether neurophenomenological disturbances associated with basic self-disturbance predict persistence or intensification of UHR symptomatology over a 2-year follow up period, and how specific these disturbances are to a clinical population with attenuated psychotic symptoms. This may ultimately inform clinical care and pathoaetiological models of psychosis.
Original language | English |
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Journal | Early Intervention in Psychiatry |
Volume | 18 |
Issue number | 2 |
Pages (from-to) | 153-164 |
Number of pages | 12 |
ISSN | 1751-7885 |
DOIs | |
Publication status | Published - 2024 |
Bibliographical note
Publisher Copyright:
© 2023 The Authors. Early Intervention in Psychiatry published by John Wiley & Sons Australia, Ltd.
- neurocognition, neurophysiology, phenomenology, protocol, self-disturbance, ultra-high risk
Research areas
ID: 365877414