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008			220607s2022 xxu| o |||| 0|eng d
020			_a9781071622254
024	7		_a10.1007/978-1-0716-2225-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aRC388.5 _b2022 EB
245	0	0	_aLesion-to-Symptom Mapping : _bPrinciples and Tools _cedited by Dorian Pustina, Daniel Mirman
250			_a1st edition 2022
264		1	_aNew York, NY _bSpringer International Publising _c2022
300			_a1 recurso en línea (XVI, 348 páginas) _b113 ilustraciones, 106 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aNeuromethods _x1940-6045 _v180
505	0		_aDefining the Lesion for Lesion Symptom Mapping -- Manual Lesion Segmentation -- Automated Lesion Segmentation -- Mapping the Spatial Distribution of Lesions in Stroke: Effect of Diffeomorphic Registration Strategy in the ATLAS Dataset -- Voxel-Based Lesion Symptom Mapping -- Statistical Considerations in Voxel-Based Lesion Behavior Mapping -- Voxel-Based Brain-Behavior Mapping in Neurodegenerative Diseases -- Lesion Network Mapping: From a Topologic to Hodologic Approach -- Connectome-Based Lesion-Symptom Mapping using Structural Brain Imaging -- Lesion Network Mapping using Resting State Functional Connectivity MRI -- Multivariate Lesion-Behavior Mapping -- Lesion-Based Prediction and Predictive Inference -- Selecting and Handling Behavioral Measures for Lesion-Symptom Mapping -- Lesion-Behavior Awake Mapping with Direct Cortical and Subcortical Stimulation -- Transcranial Magnetic Stimulation Mapping for Perceptual and Cognitive Functions -- Apprendix A Introduction -- Lesion-Behavior Mapping Using NPM -- VLSM with VOXBO -- Get Software Running -- Lesion Analysis with NiiStat Tutorial -- Lesion-Symptom Mapping Analyses using LESYMAP -- Network Modification Tool 2.0 -- Appendix B Introduction -- Automated Lesion Segmentation using LINDA -- Overview of Automated Lesion Segmentation with lesion_gnb.
520			_aRecent developments in lesion-symptom mapping (LSM) have spurred rapid growth. This volume provides comprehensive coverage of the steps and considerations involved in LSM. The chapters cover the definition and types of brain lesions, how to prepare them for analysis, standard LSM methods, network-based LSM methods, and approaches of transient lesions induced by brain stimulation. These chapters are supplemented by practical, hands-on mini tutorials on implementing the different analyses using freely-available software. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get started using LSM in your laboratory. Cutting-edge and thorough, Lesion-to-Symptom Mapping: Principles and Tools connects core conceptual issues with available tools, making it a valuable resource for experienced and new researchers. .
988			_aSpringer_Protocols_2022
650		7	_2embne _9150775 _aEnfermedades cerebrovasculares _vManuales de laboratorio
776	0	8	_iPrinted edition: _z9781071622247
776	0	8	_iPrinted edition: _z9781071622261
776	0	8	_iPrinted edition: _z9781071622278
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-0716-2225-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b07/2023 _dz _eu _zSI