Major Oral: "Wavelet transform coherence method to assess dynamic functional connectivity in resting-state fMRI"

Abstract: Alzheimer ’s disease is the most common cause of dementia. The estimation of functional connectivity (FC) and linking this structure to disorders is a good starting point for the treatment of the disease. References have found different static FC structures in subjects with Alzheimer’s disease compared to healthy subjects using cross correlation and coherence. When dealing with dynamic FC, wavelet transform coherence is more useful. It transforms a one-dimensional time series to a two-dimensional time-frequency image. As it is accurate and efficient to analyze localized variations of power within a time series, we are investigating the link between FC and schizophrenia with the objective of finding biomarkers for the disorder.

Host: Jimin Ding