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New Perspectives on the Brain Lesion Approach - Implications for Theoretical Models of Human Memory.
- Source :
-
Neuroscience [Neuroscience] 2018 Mar 15; Vol. 374, pp. 319-322. Date of Electronic Publication: 2017 Nov 06. - Publication Year :
- 2018
-
Abstract
- Human lesion studies represent the cornerstone of modern day neuropsychology and provide an important adjunct to functional neuroimaging methods. The study of human lesion groups with damage to distinct regions of the brain permits the identification of underlying mechanisms and structures not only associated with, but essential for, complex cognitive processes. Here, we consider a recent review by McCormick et al., 2018 in which the power of the lesion model approach is elegantly presented with respect to a host of sophisticated cognitive endeavors, including autobiographical memory, future thinking, spatial navigation, and decision-making. By comparing profiles of loss and sparing in hippocampal (HC) and ventromedial prefrontal cortex (vmPFC) lesion groups, the authors provide new insights into the underlying neuroarchitecture of these diverse cognitive functions. Building on this framework, we consider how vmPFC and HC degeneration, in the context of large-scale network dysfunction in dementia, impacts discrete facets of memory and social cognition. Notably, we find remarkable concordance between the available evidence in dementia and that of the HC and vmPFC lesion literature. We further assess the role of the prefrontal cortex in modulating aspects of spatial navigation and discuss the role of schema-related processing in the service of memory more broadly. Far from being obsolete, we contend that human lesion work occupies a crucial position in cognitive neuroscience and offers an array of exciting areas for future study within this field.<br /> (Copyright © 2017 IBRO. Published by Elsevier Ltd. All rights reserved.)
- Subjects :
- Cognition
Hippocampus
Humans
Models, Theoretical
Memory, Episodic
Prefrontal Cortex
Subjects
Details
- Language :
- English
- ISSN :
- 1873-7544
- Volume :
- 374
- Database :
- MEDLINE
- Journal :
- Neuroscience
- Publication Type :
- Academic Journal
- Accession number :
- 29122592
- Full Text :
- https://doi.org/10.1016/j.neuroscience.2017.10.049