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001 403135
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008 230801s2023 sz | o |||| 0|eng d
020 _a9783031209109
024 7 _a10.1007/978-3-031-20910-9
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aR856-857
_b2023 EB
245 1 0 _aIntracranial EEG :
_bA Guide for Cognitive Neuroscientists
_cedited by Nikolai Axmacher
250 _a1st ed. 2023
264 1 _aCham
_bSpringer International Publishing
_c2023
300 _a1 recurso en línea
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
490 0 _aStudies in Neuroscience, Psychology and Behavioral Economics
_x2196-6613
505 0 _aChapter 1: Which epilepsy patients are implanted with iEEG electrodes -- Chapter 2: Which is the cognitive status of epilepsy patients undergoing intracranial presurgical studies, and what influences it? -- Chapter 3: (How) does epileptic activity influence cognitive functioning? -- Chapter 4: Which practical issues should I consider when planning and conducting an iEEG study?.
520 _aThis book offers the first, comprehensive guide to planning and conducting intracranial EEG studies, and analyzing intracranial EEG data. The chapters address core questions in the field of intracranial EEG research. They are written by internationally recognized experts in the domain of intracranial EEG and acknowledge the heterogeneity of approaches in this field. The particular format of the book allows readers to find clear guidelines, hands-on expertise and invaluable background information for planning and conducting state-of-the-art intracranial EEG research projects. Besides offering a reference guide to newcomers in the field, it also provides scholarly information for the more experienced researcher and inspiration for the expert. The book covers a wide range of topics, with a special emphasis on aspects in which intracranial EEG data differ from other types of data in the cognitive neurosciences. It discusses typical patient characteristics and implantation schemes, ethical issues, and practical considerations for planning and running intracranial EEG experiments. It addresses signal characteristics and the physiological background of oscillatory and non-oscillatory aspects of intracranial EEG signals. It describes complex pre-processing steps such as advantages and disadvantages of different referencing schemes, and how to identify the location of electrodes. In addition, it answers specific questions on data processing, addressing core aspects of statistical analysis, and suggesting guidelines for data presentation. Further, it covers advanced topics such as causal interventions (i.e. deep brain stimulation), acquisition and analysis of single-unit data and multimodal recordings, and discusses important future challenges and opportunities in the field of intracranial EEG research.
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-20910-9
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aSpringer_Psychology_2023
999 _c403135
_d403135