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Titlebook: Characterization of Neural Activity Using Complex Network Theory; An Application to th Javier Gomez-Pilar Book 2021 The Editor(s) (if appli

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樓主: Cleveland
21#
發(fā)表于 2025-3-25 05:09:27 | 只看該作者
Results,This chapter summarizes the most relevant results found during this Thesis. They have been split according to the different hypotheses of the “Hypotheses and Objectives” chapter, which has an almost direct correspondence with the papers published during this Thesis (see the Introduction chapter and the bibliography for further details).
22#
發(fā)表于 2025-3-25 10:35:56 | 只看該作者
23#
發(fā)表于 2025-3-25 12:14:16 | 只看該作者
24#
發(fā)表于 2025-3-25 18:25:36 | 只看該作者
25#
發(fā)表于 2025-3-26 00:03:16 | 只看該作者
https://doi.org/10.1007/978-3-642-99155-4racteristics will be identified. The heterogeneity in schizophrenia is a reiterative finding in several studies. This may be a reason for obtaining, sometimes, contradictory results and hindering the replication of results with different databases.
26#
發(fā)表于 2025-3-26 02:41:54 | 只看該作者
27#
發(fā)表于 2025-3-26 06:12:07 | 只看該作者
28#
發(fā)表于 2025-3-26 10:52:24 | 只看該作者
Introduction,zophrenia disorder. Electroencephalographic (EEG) signals, acquired during a cognitive task, were used to obtain connectivity matrices that describe the functional brain network. Graph measures were computed from these matrices using coherence and phase-based measures. These investigations have led
29#
發(fā)表于 2025-3-26 12:46:15 | 只看該作者
Hypotheses and Objectives,ome a relevant research topic. Hence, the proposal developed in this Doctoral Thesis is focused on analyzing EEG recordings to characterize the underlying neural mechanisms of the brain aimed at finding altered neural substrates in schizophrenia.
30#
發(fā)表于 2025-3-26 20:38:46 | 只看該作者
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