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Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Article DOI: 10.3791/58187-v • 06:50 min • October 30th, 2018
October 30th, 2018 •
*1, *2, 3, 4, 5, 5, 6, 7, 5
1Kokoro Research Center, Kyoto University, 2Brain Activity Imaging Center, Advanced Telecommunications Research Institute International, 3Department of Neurodevelopmental Psychiatry, Habilitation and Rehabilitation, Graduate School of Medicine, Kyoto University, 4National Epilepsy Center, 5Shizuoka Institute of Epilepsy and Neurological Disorders, 6Department of System Neuroscience, Sapporo Medical University, 7Faculty of Human Health Science, Graduate School of Medicine, Kyoto University
* These authors contributed equally

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요약
Automatic Translation

We present two analytical protocols that can be used to analyze intracranial electroencephalography data using the Statistical Parametric Mapping (SPM) software: time-frequency statistical parametric mapping analysis for neural activity, and dynamic causal modeling of induced responses for intra- and inter-regional connectivity.

Tags

SPM Software Intracranial EEG Data Neural Activity Connectivity Cognitive Neuroscience High-spatial Temporal Evolutions Time-frequency Analysis Continuous Wavelet Decomposition Morlet Wavelets Spectral Components Mother Wavelet Number Of Cycles Time And Frequency Ranges Edge Effects Data Transformation Baseline Correction Event-related Power Changes Gaussian Kernel
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