Extracting spatial–temporal coherent patterns in large-scale neural recordings using dynamic mode decomposition

• Published in: Journal of neuroscience methods Vol. 258; pp. 1 - 15
• Main Authors: Brunton, Bingni W., Johnson, Lise A., Ojemann, Jeffrey G., Kutz, J. Nathan
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 30.01.2016
• Subjects: Adult; Algorithms; Brain - physiology; Brain Mapping - methods; Child; Dynamic mode decomposition; Electrocorticography; Electroencephalography - methods; Feature extraction; Female; Humans; Models, Neurological; Principal Component Analysis; Sleep spindles; Spatiotemporal modes; Feature extraction; Sleep spindles; Dynamic mode decomposition; Spatiotemporal modes; Electrocorticography

•Dynamic mode decomposition (DMD) extracts dynamically coherent patterns from large-scale neuronal recordings.•Multiple, distinct sleep spindle networks are identified by DMD as measured in subdural array recordings.•Sleep spindle networks are characterized by different cortical distribution pattern...