Lesion-to-Symptom Mapping

Principles and Tools
1. Auflage 2022
ISBN: 978-1-0716-2227-8
Verlag: Springer US

Buch, Englisch, Band 180, 348 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 692 g

Reihe: Neuromethods

Recent 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. 

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Mirman, Daniel

Pustina, Dorian

Fachgebiete

• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Neurowissenschaften, Kognitionswissenschaft
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Neurologie, Klinische Neurowissenschaft

Inhaltsverzeichnis

Series Preface…Preface…Table of Contents…Contributing Authors…
1. Defining the Lesion for Lesion Symptom MappingShannon M. Sheppard, Andrea L.C. Schneider, and Argye E. Hillis
2. Manual Lesion SegmentationCasey Ferrara, Branch Coslett, and Laurel Buxbaum
3. Automated Lesion SegmentationJoseph C. Griffis and Dorian Pustina
4. Mapping the Spatial Distribution of Lesions in Stroke: Effect of Diffeomorphic Registration Strategy in the ATLAS DatasetBrian B. Avants and Nicholas J. Tustison
5. Voxel-Based Lesion Symptom MappingJuliana V. Baldo, Maria V. Ivanova, Timothy J. Herron, Stephen M. Wilson, and Nina F. Dronkers
6. Statistical Considerations in Voxel-Based Lesion Behavior MappingChristoph Sperber and Hans-Otto Karnath
7. Voxel-Based Brain-Behavior Mapping in Neurodegenerative DiseasesSladjana Lukic, Valentina Borghesani, Maria Luisa Gorno-Tempini, and Giovanni Battistella
8. Lesion Network Mapping: From a Topologic to Hodologic ApproachAmy Kuceyeski and Aaron Boes
9. Connectome-Based Lesion-Symptom Mapping using Structural Brain ImagingEzequiel Gleichgerrcht, Janina Wilmskoetter, and Leonardo Bonilha
10. Lesion Network Mapping using Resting State Functional Connectivity MRIJuho Joutsa, R. Ryan Darby, and Michael D. Fox
11. Multivariate Lesion-Behavior MappingYee-Haur Mah, Ashwani Jha, Tianbo Xu, and Parashkev Nachev
12. Lesion-Based Prediction and Predictive InferenceDaniel Mirman and Melissa Thye
13. Selecting and Handling Behavioral Measures for Lesion-Symptom MappingPeter E. Turkeltaub, Andrew T. DeMarco, and Maryam Ghaleh
14. Lesion-Behavior Awake Mapping with Direct Cortical and Subcortical StimulationStephanie K. Ries, Kesshi Jordan, Robert T. Knight, and Mitchel Berger
15. Transcranial Magnetic Stimulation Mapping for Perceptual and Cognitive FunctionsSamantha Strong and Edward H. Silson
Appendix A: Lesion-Symptom Mapping: Tools and Examples
1. Apprendix A IntroductionDorian Pustina and Daniel Mirman
2. Lesion-Behavior Mapping Using NPMChristoph Sperber
3. VLSM with VOXBOOlufunsho K. Faseyitan
4. Get Software RunningAndrew T. DeMarco
5. Lesion Analysis with NiiStat TutorialStefan Smaczny, Hannah Rosenzopf, and Lisa Röhrig
6. Lesion-Symptom Mapping Analyses using LESYMAPMelissa Thye
7. Network Modification Tool 2.0Keith Jamison and Amy Kuceyeski
Appendix B:  Automated Segmentation: Tools and Examples
1. Appendix B IntroductionDorian Pustina and Daniel Mirman
2. Automated Lesion Segmentation using LINDAMelissa Thye
3. Overview of Automated Lesion Segmentation with lesion_gnbJoseph C. Griffis
Subject Index List…