: To investigate the associations of specific cognitive functions and with the frailty trajectory among older Taiwanese adults. At baseline, 730 community-dwelling older adults were recruited from outpatient clinics of a general hospital. Frailty status was defined using phenotype criteria. Global cognition was assessed using the modified Telephone Interview of Cognitive Status and Mini-Mental State Examination (MMSE). The Mattis Dementia Rating Scale (MDRS) and Digit Symbol Substitution Test were used to evaluate 6 cognitive domains: attention, initiation/perseveration, construction, conceptualization, memory, and processing speed. The group-based trajectory model was used to identify latent frailty trajectory groups and the multinomial logistic regression was to examine the relationships of specific cognitive functions with frailty trajectory. Among 485 participants (168 men, 317 women, and mean age: 71.1 ± 5.5 years) completed 2 annual follow-up assessments, three frailty trajectory groups of improvement, no-change, and progression were identified. After adjusting for baseline frailty status, age, sex, global cognition, regular exercise habit, and number of comorbidities, higher scores on MDRS's initiation/perseveration (odds ratio [OR] = 0.85; 95% CI = 0.75-0.95) and attention (OR = 0.63; 95% CI = 0.38-1.00), respectively, were significantly associated with lower risk of frailty progression. Conversely, no significant association was detected between MMSE or TICSM scores and frailty improvement or progression. Specific cognitive functions of initiation/perseveration and attention, rather than global cognition, may be more useful to predict frailty progression, thus allowing the identification of at-risk older adults.
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http://dx.doi.org/10.1080/13607863.2022.2116393 | DOI Listing |
Sci Rep
December 2024
The School of Nursing, Fujian Medical University, No. 1 Xuefu North Road, Fuzhou, 350122, Fujian, China.
Diabetes Mellitus combined with Mild Cognitive Impairment (DM-MCI) is a high incidence disease among the elderly. Patients with DM-MCI have considerably higher risk of dementia, whose daily self-care and life management (i.e.
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December 2024
BAOBAB Unit, NeuroSpin center, CEA, Université Paris-Saclay, Gif-sur-Yvette, France.
Decoding states of consciousness from brain activity is a central challenge in neuroscience. Dynamic functional connectivity (dFC) allows the study of short-term temporal changes in functional connectivity (FC) between distributed brain areas. By clustering dFC matrices from resting-state fMRI, we previously described "brain patterns" that underlie different functional configurations of the brain at rest.
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December 2024
Computational Neuroscience Unit, Intelligent Systems Labs, Faculty of Engineering, University of Bristol, Bristol, UK.
The brain must maintain a stable world model while rapidly adapting to the environment, but the underlying mechanisms are not known. Here, we posit that cortico-cerebellar loops play a key role in this process. We introduce a computational model of cerebellar networks that learn to drive cortical networks with task-outcome predictions.
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December 2024
Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA.
Impaired muscle mitochondrial oxidative capacity is associated with future cognitive impairment, and higher levels of PET and blood biomarkers of Alzheimer's disease and neurodegeneration. Here, we examine its associations with up to over a decade-long changes in brain atrophy and microstructure. Higher in vivo skeletal muscle oxidative capacity via MR spectroscopy (post-exercise recovery rate, k) is associated with less ventricular enlargement and brain aging progression, and less atrophy in specific regions, notably primary sensorimotor cortex, temporal white and gray matter, thalamus, occipital areas, cingulate cortex, and cerebellum white matter.
View Article and Find Full Text PDFACS Chem Neurosci
December 2024
University of Bordeaux, CNRS, Institut des Neurosciences Intégratives et Cognitives d'Aquitaine INCIA CNRS UMR5287, F-33000 Bordeaux, France.
The exploration of increasingly specific brain structures and their relationships, in more nuanced ways, has facilitated the generation of databases for gene expression, connectivity, cell morphology, and electrophysiology. However, neurochemistry, the study of neurochemical environment and transmission, has not yet warranted a public database, despite the plethora of data published. From our viewpoint, a neurochemical database is overdue and would allow the field of neurochemistry to develop facilitating, standardization and reference values, reproducibility, resource efficiency, preservation and accessibility of raw data, hypothesis development and exploration, and metadata analysis.
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