Defining brain connectivity using time series similarity measures: An application to cortico-cortical evoked potentials
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Woolfe, M
O'Keefe, S
Rowlands, D
Dionisio, S
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Abstract
Objective: Stereo-EEG (SEEG) data is unique and highly variable, depending on anatomical structure and tissue type. There has been no comparison of metrics used to quantify network connectivity in response to Cortico-Cortical Evoked Potential (CCEP) stimulation. This study aimed to compare the performance of ten well studied dissimilarity measures upon a range of simulated cortical response patterns, to evaluate their suitability to infer brain connectivity using SEEG-CCEPs data.
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Brain Stimulation
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12
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2
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Medical and Health Sciences
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Prime, D; Woolfe, M; O'Keefe, S; Rowlands, D; Dionisio, S, Defining brain connectivity using time series similarity measures: An application to cortico-cortical evoked potentials, Brain Stimulation, 2019, 12 (2)