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This book aims to highlight the current approaches for imaging brain, indispensable for cognitive neuroscience research with emphasis on the basic physical principles of various non-invasive neuroimaging techniques. Initially, we focus on describing the primary non-invasive neuroimaging modalities used by cognitive neuroscientists such as transcranial magnetic stimulation (TMS), electroencephalography (EEG), magnetoencephalography (MEG), positron emission tomography (PET) and functional magnetic resonance imaging (fMRI) and near infrared spectroscopy (NIRS). The second part provides a…mehr

Produktbeschreibung
This book aims to highlight the current approaches for imaging brain, indispensable for cognitive neuroscience research with emphasis on the basic physical principles of various non-invasive neuroimaging techniques. Initially, we focus on describing the primary non-invasive neuroimaging modalities used by cognitive neuroscientists such as transcranial magnetic stimulation (TMS), electroencephalography (EEG), magnetoencephalography (MEG), positron emission tomography (PET) and functional magnetic resonance imaging (fMRI) and near infrared spectroscopy (NIRS). The second part provides a comprehensive overview of different multimodality imaging techniques for various cognitive neuroscience studies.es used by cognitive neuroscientists such as transcranial magnetic stimulation (TMS), electroencephalography (EEG), magnetoencephalography (MEG), positron emission tomography (PET) and functional magnetic resonance imaging (fMRI) and near infrared spectroscopy (NIRS). The second part provides a comprehensive overview of different multimodality imaging techniques for various cognitive neuroscience studies.
Autorenporträt
A. Ramesh Naidu hat einen Doktortitel in Physik von der Universität Hyderabad. Derzeit arbeitet er als Assistenzprofessor am Fachbereich Physik der Universität Pondicherry. Seine Postdoc-Forschung führte er am Neuroscience Centre der Universität Helsinki in Finnland durch. Seine Interessensgebiete sind Computational Neuroscience und Computational Physics.