Functional mapping of the nervous system helps to identify the activity in the human brain during certain tasks. The difference between the two conditions helps you to understand the electrode nodes that cause a particular change in the neural state. Therefore, in this book, we will witness the functional difference between healthy people, Alzheimer’s (AD) patients, multiple cognitive disorder (MCI) patients, and dementia patients. This gives the insight into the pair of electrodes that cause the progression of the disease from MCI to AD to dementia. This will help us in designing the biomarker in the future.
Contents
List of Figures
List of Tables
1 Introduction
2 Neural Disorders, Dataset Description and Preliminary Signal Processing
2.1 Alzheimer’s Disease
2.1.1 Attention deficit/hyperactive disorder (ADHD)
2.2 Dataset description
2.3 Signal Decomposition
3 EEG functional connectivity methodologies
3.1 Synchronization Studies
3.1.1 Amplitude and Phase synchronization
3.1.2 Phase Locking Value (PLV)
3.2 Frequency dependent studies
3.2.1 Approximate (AE) and Transfer Entropy(TE)
3.2.2 Spectral Entropy
4 Phase Locking Value
4.1 Time-Frequency PLV spectrum
4.2 Identification of Differential Scalp Maps
4.3 Network Measures
4.3.1 Path length (PL) and clustering-coefficient explanation
5 Wavelet Spectral Entropy
5.1 Wavelet Spectral Entropy Time-Frequency Spectrum
5.2 Wavelet Spectral Entropy
5.3 Identification of Reactive band (RB) and Most Reactive Pairs (MRP)
5.4 Functional connectivity and Network Measures
5.5 Discussion
6 Conclusion and Future works
References
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