Over the past decade, a number of large EEG datasets have become available, containing both data across multiple cognitive tasks and from participants from multiple categories of mental illness diagnoses. This project intends to make use of those large datasets alongside state-of-the-art EEG analysis techniques to answer fundamental questions about the relationship between EEG activity, cognition and mental illness which have not been well answered by studies with smaller sample sizes. In particular, larger datasets will be able to tell us whether particular neural oscillations are related to specific cognitive processes in specific mental illnesses or even specific symptoms.
Cognition, EEG, mental illness, biomarkers
Central Clinical School » Psychiatry (previously known as MAPrc)