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020 _a9781071632307
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024 7 _a10.1007/978-1-0716-3230-7
_2doi
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072 7 _aSCI089000
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082 0 4 _a612.8
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245 1 0 _aComputational Neuroscience
_h[electronic resource] /
_cedited by Drozdstoy Stoyanov, Bogdan Draganski, Paolo Brambilla, Claus Lamm.
250 _a1st ed. 2023.
264 1 _aNew York, NY :
_bSpringer US :
_bImprint: Humana,
_c2023.
300 _aXIV, 274 p. 1 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
341 0 _bTable of contents navigation
_2onix
341 0 _bSingle logical reading order
_2onix
341 0 _bShort alternative textual descriptions
_2onix
341 0 _bUse of color is not sole means of conveying information
_2onix
341 0 _bUse of high contrast between text and background color
_2onix
341 0 _bNext / Previous structural navigation
_2onix
341 0 _bAll non-decorative content supports reading without sight
_2onix
347 _atext file
_bPDF
_2rda
490 1 _aNeuromethods,
_x1940-6045 ;
_v199
505 0 _aTowards Methodology for Strategic Innovations in Translational and Computational Neuroscience in Psychiatry -- Molecular Methods in Neuroscience and Psychiatry -- Towards the Use of Research and Diagnostic Algorithmic Rules (RADAR) to Assess the Recurrence of Illness and Major Dysmood Disorder Features: The Diagnosis “Bipolar Disorder” is Useless -- The Concept of Event-Related Oscillations: A Spotlight on Extended Applications -- Quantitative EEG Analysis: Introduction and Basic Principles -- QEEG and ERP Biomarkers of Psychotic and Mood Disorders and Their Treatment Response -- Quantitative EEG in Patients with Schizophrenia -- Computational Anatomy Going Beyond Brain Morphometry -- Nonlinear Methods for the Investigation of Psychotic Disorders -- Carving Out the Path to Computational Biomarkers for Mental Disorders -- Neuroimaging Methods Investigating Anterior Insula Alterations in Schizophrenia and Mood Disorders -- Magnetic Resonance Spectroscopy -- The Effect of Exogenous and Endogenous Parameters on Group Resting-State Effective Connectivity and BOLD Signal -- Utility of Computational Approaches for Precision Psychiatry: Applications to Substance Use Disorders -- Multimodal Integration in Psychiatry: Clinical Potential and Challenges -- Premises of Computational Neuroscience: Machine Learning Tools and Multivariate Analyses.
520 _aThis volume looks at the latest advancements in imaging neuroscience methods using magnetic resonance imaging (MRI) and electroencephalography (EEG) to study the healthy and diseased brain. The chapters in this book are organized into five parts. Parts One and Two cover an introduction to this field and the latest use of molecular models. Part Three explores neurophysiological methods for assessment, such as quantitative EEG and event-related potentials. Part Four discusses the advances and innovations made in computational anatomy, and Part Five addresses the challenges faced by researchers prior to the computational neuroscience to find wider translational applications in the field of psychiatry and mental health. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory. Cutting-edge and comprehensive, Computational Neuroscience is a valuable tool for researchers in the psychiatry and mental health fields who want to learn more about ways to incorporate computational approaches into utility and validity of clinical methods.
532 8 _aAccessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.
532 8 _aNo reading system accessibility options actively disabled
532 8 _aPublisher contact for further accessibility information: accessibilitysupport@springernature.com
650 0 _aNeurosciences.
650 0 _aComputational neuroscience.
650 1 4 _aNeuroscience.
650 2 4 _aComputational Neuroscience.
700 1 _aStoyanov, Drozdstoy.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDraganski, Bogdan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBrambilla, Paolo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLamm, Claus.
_eeditor.
_0(orcid)0000-0002-5422-0653
_1https://orcid.org/0000-0002-5422-0653
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9781071632291
776 0 8 _iPrinted edition:
_z9781071632314
776 0 8 _iPrinted edition:
_z9781071632321
830 0 _aNeuromethods,
_x1940-6045 ;
_v199
856 4 0 _uhttps://doi.org/10.1007/978-1-0716-3230-7
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