The potential of brain rhythms to gauge the vulnerability of an individual to developing chronic pain

Talks

Principles and challenges of fMRI-based ‘brain reading’
Prof. John-Dylan Haynes
Done
High-fidelity continuous monitoring of physiology anywhere with RDS
Louis Mayaud, PhD
Done
Own data, not hardware
Cecilia Mazzetti, PhD
Done
Translational endophenotypes (neuromarkers) in neurodevelopmental disorders: From mouse to man in CLN3 (Batten) disease
Prof. John J. Foxe
Done
The condition and perturb approach, a new protocol for preoperative language mapping in patients with brain tumors: First results of intraoperative validation
Tammam Abboud, MD
Done
Real brains in virtual worlds
Prof. Klaus Gramann
Done
Phase-amplitude coupling in EEG as a Parkinsonian biomarker
Prof. Thomas R. Knösche
Done
Two clinical applications of hdEEG: Kinesthetic illusion and consciousness in sleep
Jan Hubený, Ing.
Done
Advances in closed-loop neuromodulation
David Haslacher
Done
From one-size-fits-all psychiatry to stratified psychiatry: Brain markers and heart-brain-coupling
Martijn Arns, PhD
Done

11/4/22, 3:00 PM - 11/4/22, 3:30 PM (Europe/Amsterdam) (30 minutes)

Prof. Ali Mazaheri

Associate Professor, Director of Undergraduate Studies Centre for Human Brain Health, School of Psychology, University of Birmingham

I completed my B.Sc and M.Sc degree in Neuroscience at the University of Toronto, Canada. I obtained my PhD degree at the Donders Institute for Cognitive Neuroimaging, Nijmegen, The Netherlands. After a post-doctoral fellowship at the University of California, Davis, I was appointed as an Assistant Professor at the Academic Medical Centre, University of Amsterdam. I am currently an Associate Professor at the School of Psychology, University of Birmingham (United Kingdom), and a Principal Investigator at the Centre for Human Brain Health.

A significant predictor of whether an individual will get chronic pain is the acute pain experienced immediately after surgery. If clinicians can pre-operatively identify which patients are highly pain sensitive, they can take pre-emptive steps to minimize it and prevent its chronification. Here I will present evidence that an individual’s resting peak frequency of alpha activity, measured using EEG , can predict their sensitivity to pain after surgery.