Individual identification using sleep micro-architecture

Brain fingerprinting is an emerging technique that has significant potential in leveraging individual differences for the improved prediction of behaviour (e.g. memory) and clinical (e.g. neuropsychiatric) outcomes. There is evidence suggesting that certain phenotypes of sleep might be markedly trait-like, however the uniqueness of sleep architecture and microarchitecture underlying the neurophysiological activity during the sleep state has yet to be assessed in a comprehensive manner. During this project, the intern will investigate sleep microarchitecture and individual variations in automatically detected events such as slow oscillations and sleep spindles to understand their potential in predicting behavioural features such as memory consolidation.

Faculty Supervisor:

Thien Thanh Dang-Vu

Student:

Partner:

University of Oxford

Discipline:

Life Sciences

Sector:

Life Sciences (not health); Other

University:

Concordia University

Program: