| Literature DB >> 31220831 |
Abstract
The representation of cognitive function in the cerebral cortex has a long and cherished history, but much evidence also supports a critical role of subcortical structures in the operations of cognition. The idea of subcortical dementia, first proposed in 1932 and substantially expanded in the 1970s, is the most prominent formulation intended to capture the phenomenology of cognitive impairment attributable to subcortical involvement. Despite criticism highlighting its imprecision, subcortical dementia has endured as a useful general concept assisting the classification of dementia syndromes based on the primary site(s) of neuropathology. As neuroscientific knowledge expanded with the advent of modern structural and functional neuroimaging, a more detailed understanding of the contributions of specific subcortical regions emerged, such that the cognitive affiliations of the basal ganglia, thalamus, cerebellum, brainstem, and white matter are all better defined. Important advances have been made by the study of both neurodegenerative diseases and focal lesions. Today, the complex admixture of cortical and subcortical foundations of cognition is increasingly well appreciated, and has been conceptually organized within the broadly inclusive notion of distributed neural networks. These networks are thought to integrate cortical and subcortical gray and white matter structures throughout the brain into functional neuronal ensembles subserving various domains of cognition. In this light, specific disorders of subcortical regions produce cognitive sequelae that can be usefully analyzed within the context of networks that involve key cortical regions as well. The study of subcortical contributions to cognition has been highly informative in expanding neurobehavioral thinking to include regions beyond the cerebral cortex, adding nuance and sophistication to the conceptualization of brain-behavior relationships.Entities:
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Year: 2019 PMID: 31220831 DOI: 10.1159/000494958
Source DB: PubMed Journal: Front Neurol Neurosci ISSN: 0300-5186