Methods for Measuring Neural Oscillations in Mental Disorders

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dc.contributor.authorAtagun, Murat Ilhan
dc.contributor.authorTamura, Shunsuke
dc.contributor.authorHirano, Yoji
dc.date.accessioned2026-02-03T11:53:50Z
dc.date.available2026-02-03T11:53:50Z
dc.date.issued2025
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractElectroencephalography (EEG) and magnetoencephalography (MEG) are neurophysiological methods for recording brain electrical signals. The signals consisting of excitatory post-synaptic potentials and fields summate and propagate through brain surface and cranium and thereby captured by the EEG and MEG. The signal gets contribution from several sources and become convoluted by detached inputs. The signal could be altered by inputs according to the network and task demands. Cognitive, sensory, or motor tasks invoke associated neural networks. Stimulation characteristics determine analysis strategies. Decomposition of the EEG data has three phases including (i) preprocessing, (ii) processing, and (iii) post-processing. Within the recent years, deep learning and classification systems are added into EEG data analysis. In this chapter, we aimed to introduce methods for experimental and analytical procedures of EEG research. © 2025 Springer Nature Switzerland AG.
dc.identifier.doi10.1007/978-3-031-73368-0_105
dc.identifier.endpage3306
dc.identifier.isbn9783031733673
dc.identifier.isbn9783031733680
dc.identifier.scopus2-s2.0-105023340743
dc.identifier.scopusqualityN/A
dc.identifier.startpage3289
dc.identifier.urihttps://doi.org/10.1007/978-3-031-73368-0_105
dc.identifier.urihttps://hdl.handle.net/20.500.12428/34333
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer Science+Business Media
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260130
dc.subjectBiomedical signal processing
dc.subjectBrain
dc.subjectBrain mapping
dc.subjectClassification (of information)
dc.subjectData handling
dc.subjectDeep learning
dc.subjectElectroencephalography
dc.subjectElectrophysiology
dc.subjectNeurophysiology
dc.subjectAnalysis strategies
dc.subjectBrain surface
dc.subjectElectrical signal
dc.subjectExcitatory post synaptic potentials
dc.subjectMental disorders
dc.subjectMotor tasks
dc.subjectNetwork demands
dc.subjectNeural oscillations
dc.subjectNeural-networks
dc.subjectTask demand
dc.subjectMagnetoencephalography
dc.titleMethods for Measuring Neural Oscillations in Mental Disorders
dc.typeBook Chapter

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