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Delineating extrastriate visual area MT(V5) using cortical myeloarchitecture.
Bridge, Holly; Clare, Stuart; Krug, Kristine.
Afiliación
  • Bridge H; Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB) & Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford, OX3 9DU, UK. Electronic address: holly.bridge@ndcn.ox.ac.uk.
  • Clare S; Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB) & Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford, OX3 9DU, UK.
  • Krug K; University of Oxford, Department of Physiology, Anatomy & Genetics, Sherrington Building, Parks Road, Oxford, OX1 3PT, UK.
Neuroimage ; 93 Pt 2: 231-6, 2014 Jun.
Article en En | MEDLINE | ID: mdl-23541801
ABSTRACT
Visual area MT is a model of choice in primate neurophysiological and human imaging research of visual perception, due to its considerable sensitivity to moving stimuli and the strong direction selectivity of its neurons. While the location of MT(V5) in the non-human primate is easily identifiable based on gross anatomy and appears consistent between animals, this is less the case in human subjects. Functional localisation of human MT+ with moving stimuli can identify a group of motion-sensitive regions, but defining MT proper has proved more challenging. In this review we consider approaches to studying the cyto- and myleoarchitecture of this cortical area that may, in the future, allow identification of human MT in vivo based on anatomy.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Corteza Visual / Mapeo Encefálico / Imagen por Resonancia Magnética / Vaina de Mielina Límite: Animals / Humans Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2014 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Corteza Visual / Mapeo Encefálico / Imagen por Resonancia Magnética / Vaina de Mielina Límite: Animals / Humans Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2014 Tipo del documento: Article