According to the cognitive reserve theory, intellectual stimuli acquired during life can prevent against developing cognitive impairment. The underlying cognitive reserve mechanisms were underexplored in low-educated individuals. Because episodic memory impairment due to hippocampal dysfunction is a key feature of Alzheimer's dementia (AD), we sought to look at a possible cognitive reserve mechanism by determining whether few years of education moderated the relationship between the hippocampal volumes and the episodic-memory scores. The sample was composed by 183 older adults, 40.1% male, with the median age of 78[76,82] years and the median years of education of 4[2,10] who had undergone an episodic-memory test and a 3-Tesla MRI scan to access the hippocampal volumes. Overall, 112 were cognitively healthy, 26 had cognitive impairment-no dementia (CIND) and 45 had dementia. We used multiple linear regression to assess whether the interaction between years of education and each hippocampal volume significantly predicted the episodic-memory scores' variance, controlling for cognitive diagnosis and nuisance variables. The interaction term with the left hippocampus (ß = 0.2, = 0.043, CI = 1.0, 1.4), but not with the right (ß = 0.1, = 0.218, CI = 0.9, 1.2) significantly predicted the variation on memory scores. The mechanism by which the left hippocampus seems to play a more important role on memory processing in more educated individuals needs to be further investigated and might be associated with a better use of mnemonic strategies or higher hippocampal connectivity. Because the sample's median years of education was four, which corresponds to primary school, we may infer that this level might be sufficient to contribute for building cognitive reserve.
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http://dx.doi.org/10.3389/fnagi.2018.00381 | DOI Listing |
Commun Psychol
January 2025
University of Washington, Seattle, WA, USA.
Cognitive reserve, a component of resilience, may be conceptualized as the ability to overcome accumulating neuropathology and maintain healthy aging and function. However, research measuring and evaluating it in American Indians is needed. We recruited American Indians from 3 regional centers for longitudinal examinations (2010-13, n = 818; 2017-19, n = 403) including MRI, cognitive, clinical, and questionnaire data.
View Article and Find Full Text PDFTurk J Gastroenterol
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Department of Gastroenterology and Medicine, Fukuoka University Faculty of Medicine, Fukuoka, Japan.
Background/Aims: To evaluate invasive treatment outcomes for hepatocellular carcinoma (HCC) in patients aged over 90 years. Materials and methods: Twenty-six patients were included. Information on backgrounds, course of treatment, outcomes, and changes in Child-Pugh (CP) score and performance status (PS), as well as a comparison of treatment-related complications and 2-year survival after treatment, were retrospectively examined and compared with 311 patients aged under 90 years who were matched under the same conditions.
View Article and Find Full Text PDFBrain Inform
January 2025
Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Cognitive resilience (CR) describes the phenomenon of individuals evading cognitive decline despite prominent Alzheimer's disease neuropathology. Operationalization and measurement of this latent construct is non-trivial as it cannot be directly observed. The residual approach has been widely applied to estimate CR, where the degree of resilience is estimated through a linear model's residuals.
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January 2025
Section of Neurosurgery, Dartmouth Hitchcock Medical Center, Lebanon, NH, 03756, USA.
The somato-cognitive action network (SCAN) consists of three nodes interspersed within Penfield's motor effector regions. The configuration of the somato-cognitive action network nodes resembles the one of the 'plis de passage' of the central sulcus: small gyri bridging the precentral and postcentral gyri. Thus, we hypothesize that these may provide a structural substrate of the somato-cognitive action network.
View Article and Find Full Text PDFJ Integr Neurosci
January 2025
Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.
Resting state networks (RSNs) of the brain are characterized as correlated spontaneous time-varying fluctuations in the absence of goal-directed tasks. These networks can be local or large-scale spanning the brain. The study of the spatiotemporal properties of such networks has helped understand the brain's fundamental functional organization under healthy and diseased states.
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