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Metabolic lesion-deficit mapping of human cognition.
Jha, Ashwani; Teotonio, Rute; Smith, April-Louise; Bomanji, Jamshed; Dickson, John; Diehl, Beate; Duncan, John S; Nachev, Parashkev.
Afiliación
  • Jha A; UCL Queen Square Institute of Neurology, London, UK.
  • Teotonio R; Neurology Department of Centro Hospitalar de Leiria, Leiria, Portugal.
  • Smith AL; Institute of Nuclear Medicine, UCL, London, UK.
  • Bomanji J; Institute of Nuclear Medicine, UCL, London, UK.
  • Dickson J; Institute of Nuclear Medicine, UCL, London, UK.
  • Diehl B; UCL Queen Square Institute of Neurology, London, UK.
  • Duncan JS; UCL Queen Square Institute of Neurology, London, UK.
  • Nachev P; UCL Queen Square Institute of Neurology, London, UK.
Brain ; 143(3): 877-890, 2020 03 01.
Article en En | MEDLINE | ID: mdl-32203579
ABSTRACT
In theory the most powerful technique for functional localization in cognitive neuroscience, lesion-deficit mapping is in practice distorted by unmodelled network disconnections and strong 'parasitic' dependencies between collaterally damaged ischaemic areas. High-dimensional multivariate modelling can overcome these defects, but only at the cost of commonly impracticable data scales. Here we develop lesion-deficit mapping with metabolic lesions-discrete areas of hypometabolism typically seen on interictal 18F-fluorodeoxyglucose PET imaging in patients with focal epilepsy-that inherently capture disconnection effects, and whose structural dependence patterns are sufficiently benign to allow the derivation of robust functional anatomical maps with modest data. In this cross-sectional study of 159 patients with widely distributed focal cortical impairments, we derive lesion-deficit maps of a broad range of psychological subdomains underlying affect and cognition. We demonstrate the potential clinical utility of the approach in guiding therapeutic resection for focal epilepsy or other neurosurgical indications by applying high-dimensional modelling to predict out-of-sample verbal IQ and depression from cortical metabolism alone.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Encéfalo / Epilepsias Parciales / Disfunción Cognitiva Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male Idioma: En Revista: Brain Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Encéfalo / Epilepsias Parciales / Disfunción Cognitiva Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male Idioma: En Revista: Brain Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido