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Characterization of structural and functional network organization after focal prefrontal lesions in humans in proof of principle study.
Noonan, Maryann P; Geddes, Maiya R; Mars, Rogier B; Fellows, Lesley K.
Afiliación
  • Noonan MP; Department of Experimental Psychology, University of Oxford, Anna Watts Building, Radcliffe Observatory Quarter, Woodstock Rd, Oxford, OX2 6HG, UK. maryann.noonan@psy.ox.ac.uk.
  • Geddes MR; Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Canada.
  • Mars RB; Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Road, Boston, MA, 02115, USA.
  • Fellows LK; Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK.
Brain Struct Funct ; 227(9): 3027-3041, 2022 Dec.
Article en En | MEDLINE | ID: mdl-36207644
ABSTRACT
Lesion research classically maps behavioral effects of focal damage to the directly injured brain region. However, such damage can also have distant effects that can be assessed with modern imaging methods. Furthermore, the combination and comparison of imaging methods in a lesion model may shed light on the biological basis of structural and functional networks in the healthy brain. We characterized network organization assessed with multiple MRI imaging modalities in 13 patients with chronic focal damage affecting either superior or inferior frontal gyrus (SFG, IFG) and 18 demographically matched healthy Controls. We first defined structural and functional network parameters in Controls and then investigated grey matter (GM) and white matter (WM) differences between patients and Controls. Finally, we examined the differences in functional coupling to large-scale resting state networks (RSNs). The results suggest lesions are associated with widespread within-network GM loss at distal sites, yet leave WM and RSNs relatively preserved. Lesions to either prefrontal region also had a similar relative level of impact on structural and functional networks. The findings provide initial evidence for causal contributions of specific prefrontal regions to brain networks in humans that will ultimately help to refine models of the human brain.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sustancia Gris / Sustancia Blanca Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Brain Struct Funct Asunto de la revista: CEREBRO Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sustancia Gris / Sustancia Blanca Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Brain Struct Funct Asunto de la revista: CEREBRO Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido
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