Greg Perlman1, Dan Foti2, Felicia Jackson3, Roman Kotov4, Eduardo Constantino4, Greg Hajcak3. 1. Department of Psychiatry, Stony Brook University, Stony Brook, NY, United States. Electronic address: gperlman@gmail.com. 2. Department of Psychological Sciences, Purdue University, United States. 3. Department of Psychology, Stony Brook University, Stony Brook, NY, United States. 4. Department of Psychiatry, Stony Brook University, Stony Brook, NY, United States.
Abstract
BACKGROUND: Reduced auditory target P300 amplitude is a leading biomarker for psychotic disorders, although its relevance for differential diagnosis and link to specific clinical features (symptom profiles, functional impairment, and course) are unclear. This study aims to clarify the clinical significance of auditory target P300 using concurrent and retrospective clinical data from a longitudinal cohort with psychosis. METHODS: 92 cases from an epidemiological study of first-admission psychosis were assessed using an auditory oddball paradigm at 15-year follow-up along with 44 never-psychotic adults. Subcomponents of auditory target P300 amplitude (i.e., a central positive P3a, a parietal positive P3b, and a frontal negative slow wave) were isolated using temporal-spatial principal component analysis. RESULTS: P3a amplitude was blunted across psychotic disorders relative to non-psychotic adults. P3b amplitude was reduced in schizophrenia specifically, including cases initially misclassified at baseline. The frontal negative slow wave did not distinguish among groups. P3b amplitude reduction was associated with several clinical features at the concurrent assessment, as well as previous time points, including recovery from psychosis even 5 years earlier and functioning even 15 years earlier. CONCLUSIONS: Auditory target P300 amplitude yields both a schizophrenia-specific component (i.e., P3b) and a transdiagnostic psychosis component (i.e., P3a). The P3b component may also shed light on prognosis, real-world functioning, and course, as well as help to reduce misdiagnosis of psychotic disorders. Prospective studies are needed to test whether P3b tracks or predicts clinical status.
BACKGROUND: Reduced auditory target P300 amplitude is a leading biomarker for psychotic disorders, although its relevance for differential diagnosis and link to specific clinical features (symptom profiles, functional impairment, and course) are unclear. This study aims to clarify the clinical significance of auditory target P300 using concurrent and retrospective clinical data from a longitudinal cohort with psychosis. METHODS: 92 cases from an epidemiological study of first-admission psychosis were assessed using an auditory oddball paradigm at 15-year follow-up along with 44 never-psychotic adults. Subcomponents of auditory target P300 amplitude (i.e., a central positive P3a, a parietal positive P3b, and a frontal negative slow wave) were isolated using temporal-spatial principal component analysis. RESULTS: P3a amplitude was blunted across psychotic disorders relative to non-psychotic adults. P3b amplitude was reduced in schizophrenia specifically, including cases initially misclassified at baseline. The frontal negative slow wave did not distinguish among groups. P3b amplitude reduction was associated with several clinical features at the concurrent assessment, as well as previous time points, including recovery from psychosis even 5 years earlier and functioning even 15 years earlier. CONCLUSIONS: Auditory target P300 amplitude yields both a schizophrenia-specific component (i.e., P3b) and a transdiagnostic psychosis component (i.e., P3a). The P3b component may also shed light on prognosis, real-world functioning, and course, as well as help to reduce misdiagnosis of psychotic disorders. Prospective studies are needed to test whether P3b tracks or predicts clinical status.
Authors: Lauren E Ethridge; Jordan P Hamm; Godfrey D Pearlson; Carol A Tamminga; John A Sweeney; Matcheri S Keshavan; Brett A Clementz Journal: Biol Psychiatry Date: 2014-05-04 Impact factor: 13.382
Authors: Daniel F Hermens; Philip B Ward; M Antoinette Redoblado Hodge; Manreena Kaur; Sharon L Naismith; Ian B Hickie Journal: Prog Neuropsychopharmacol Biol Psychiatry Date: 2010-03-17 Impact factor: 5.067
Authors: Daniel H Mathalon; Ralph E Hoffman; Todd D Watson; Ryan M Miller; Brian J Roach; Judith M Ford Journal: Front Hum Neurosci Date: 2010-01-29 Impact factor: 3.169
Authors: Michael Avissar; Shanghong Xie; Blair Vail; Javier Lopez-Calderon; Yuanjia Wang; Daniel C Javitt Journal: Schizophr Res Date: 2017-07-11 Impact factor: 4.939
Authors: Holly K Hamilton; Scott W Woods; Brian J Roach; Katiah Llerena; Thomas H McGlashan; Vinod H Srihari; Judith M Ford; Daniel H Mathalon Journal: Schizophr Bull Date: 2019-09-11 Impact factor: 9.306
Authors: Brett A Clementz; David A Parker; Rebekah L Trotti; Jennifer E McDowell; Sarah K Keedy; Matcheri S Keshavan; Godfrey D Pearlson; Elliot S Gershon; Elena I Ivleva; Ling-Yu Huang; S Kristian Hill; John A Sweeney; Olivia Thomas; Matthew Hudgens-Haney; Robert D Gibbons; Carol A Tamminga Journal: Schizophr Bull Date: 2022-01-21 Impact factor: 9.306
Authors: Shijun Li; Yi Wang; Guangyu Bin; Xiaoshan Huang; Dan Zhang; Gang Liu; Yanwei Lv; Xiaorong Gao; Shangkai Gao; Lin Ma Journal: Front Hum Neurosci Date: 2015-07-21 Impact factor: 3.169
Authors: Giulia M Giordano; Luigi Giuliani; Andrea Perrottelli; Paola Bucci; Giorgio Di Lorenzo; Alberto Siracusano; Francesco Brando; Pasquale Pezzella; Michele Fabrazzo; Mario Altamura; Antonello Bellomo; Giammarco Cascino; Anna Comparelli; Palmiero Monteleone; Maurizio Pompili; Silvana Galderisi; Mario Maj Journal: J Clin Med Date: 2021-12-13 Impact factor: 4.241