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JoVE Journal

Neuroscience

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Nanyang Technological University

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

9.4K Views

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06:50 min

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October 30th, 2018

DOI :

10.3791/58187-v

October 30th, 2018

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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

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.

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Keywords Intracranial EEG
Neural Activity
Neural Connectivity
SPM Software
Time frequency Analysis
Wavelet Decomposition
Morlet Wavelets
Data Transformation
Baseline Correction
Data Smoothing
General Linear Model
Statistical Inference
Random Field Theory
Dynamic Causal Modeling
Cognitive Neuroscience

Rozdziały w tym wideo

0:04

Title

0:26

Time-frequency SPM Analysis

2:43

Dynamic Causal Modeling of Induced Responses

5:22

Results: Intracranial EEG Data

6:25

Conclusion

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