Identifying electroencephalography (EEG) biomarkers in individuals at clinical high risk for psychosis in an international multi-site study

Sarah Kerins, Judith Nottage, Gonzalo Salazar de Pablo, Matthew Kempton, Stefania Tognin, Dorien H Niemann, Lieuwe De Haan, Thérèse Van Amelsvoort, Jun Soo Kwon, Barnaby Nelson, Romina Mizrahi, Philip McGuire, Paolo Fusar-Poli, and the PSYSCAN Consortium

Research output: Contribution to journalArticlepeer-review

Abstract

The clinical high-risk for psychosis (CHR-P) paradigm was introduced to detect individuals at risk of developing psychosis and to establish preventive strategies. While current prediction of outcomes in the CHR-P state is based mostly on the clinical assessment of presenting features, several emerging biomarkers have been investigated in an attempt to stratify CHR-P individuals according to their individual trajectories and refine the diagnostic process. However, heterogeneity across subgroups is a key challenge that has limited the impact of the CHR-P prediction strategies, as the clinical validity of the current research is limited by a lack of external validation across sites and modalities. Despite these challenges, electroencephalography (EEG) biomarkers have been studied in this field and evidence suggests that EEG used in combination with clinical assessments may be a key measure for improving diagnostic and prognostic accuracy in the CHR-P state. The PSYSCAN EEG study is an international, multi-site, multimodal longitudinal project that aims to advance knowledge in this field.
Original languageEnglish
JournalFrontiers in Psychiatry
Publication statusAccepted/In press - 10 Feb 2022

Fingerprint

Dive into the research topics of 'Identifying electroencephalography (EEG) biomarkers in individuals at clinical high risk for psychosis in an international multi-site study'. Together they form a unique fingerprint.

Cite this