M. O’Brien

Machine Learning EEG to Predict Cognitive Functioning and Processing Speed Over a 2-Year Period in Multiple Sclerosis Patients and Controls

Michael Hutchinson, Hugh Nolan, Robert Whelan, 2018, Brain Topography.

OAS1: A multiple sclerosis susceptibility gene that influences disease severity

M. Hutchinson, N. Tubridy, R. Lonergan, 2010, Neurology.

Only Low Frequency Event-Related EEG Activity Is Compromised in Multiple Sclerosis: Insights from an Independent Component Clustering Analysis

Richard B. Reilly, Michael Hutchinson, Hugh Nolan, 2012, PloS one.

Delayed P100-Like Latencies in Multiple Sclerosis: A Preliminary Investigation Using Visual Evoked Spread Spectrum Analysis

E. Lalor, R. Reilly, R. Whelan, 2016, PloS one.

Change in PASAT performance correlates with change in P3 ERP amplitude over a 12-month period in multiple sclerosis patients

R. Whelan, N. Tubridy, J. Bramham, 2011, Journal of the Neurological Sciences.

Symptom overlap in anxiety and multiple sclerosis

R. Reilly, R. Whelan, M. Hutchinson, 2013, Multiple sclerosis.

A high-density ERP study reveals latency, amplitude, and topographical differences in multiple sclerosis patients versus controls

H. Nolan, R. Lonergan, R. Whelan, 2010, Clinical Neurophysiology.

Title: a High-density Erp Study Reveals Latency, Amplitude, and Topographical Reilly (ebiomed: Ehealthcare Based on Biomedical Signal Processing and Ict for Integrated Diagnosis and Treatment of Disease)

R. Whelan, M. Hutchinson, N. Tubridy, 2010 .