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Lesion-to-Symptom Mapping

Bag om Lesion-to-Symptom Mapping

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.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781071622278
  • Indbinding:
  • Paperback
  • Sideantal:
  • 368
  • Udgivet:
  • 9. juni 2023
  • Udgave:
  • 23001
  • Størrelse:
  • 178x20x254 mm.
  • Vægt:
  • 692 g.
  • 8-11 hverdage.
  • 14. januar 2025
På lager
Forlænget returret til d. 31. januar 2025
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Beskrivelse af Lesion-to-Symptom Mapping

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.

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