Published online May 19, 2021. doi: 10.5498/wjp.v11.i5.153
Peer-review started: January 22, 2021
First decision: March 1, 2021
Revised: March 5, 2021
Accepted: April 14, 2021
Article in press: April 14, 2021
Published online: May 19, 2021
Processing time: 110 Days and 22 Hours
Relapse prevention remains a major challenge in psychiatry, thus indicating that the established treatment methods combining psychotherapy with neuropharmacological interventions are not entirely effective. In recent years, several intervention strategies have been devised that are aimed at improving psychiatric treatment by providing a complementary set of add-on tools that can be used by clinicians to improve current patient assessment. Among these, cognitive event-related potentials (ERPs) have been indexed as valuable biomarkers of the pathophysiological mechanisms of various mental illnesses. However, despite decades of research, their clinical utility is still controversial and a matter of debate. In this opinion review, I present the main arguments supporting the use of cognitive ERPs in the management of psychiatric disorders, stressing why it is currently still not the case despite the vast number of ERP studies to date. I also propose a clinically-oriented suitable way in which this technique could — in my opinion — be effectively incorporated into individual patient care by promotion of the use of individual ERP test-retest sessions and the use of a multi-component approach.
Core Tip: Despite decades of intense research and many promising results, cognitive event-related potentials (ERPs) have yet to be implemented in daily psychiatric care units as an add-on tool to psychotherapy and medication. I present here the main arguments supporting the notion that ERPs represent a highly suitable tool for performing individual “neuro-cognitive” assessments in psychiatric patients. Such ERP data could help clinicians to specify individual cognitive interventions that will target each patient’s specific needs, thus promoting an “individualized” or “personalized” medicine.