Age-related cognitive decline has become an increasingly relevant public health issue. However, risk and protective factors of cognitive decline have yet to be investigated prospectively taking into account genetic, lifestyle, physical and mental health factors. Population-based data from middle-aged (40 to 59 years; N = 2,764) and older individuals (60 to 80 years; N = 1,254) were drawn from a prospective community cohort study using the Tower of London (TOL) planning task. Assessments were repeated at a 5-year interval to investigate age-related changes in planning performance and to determine the impact of risk and protective factors. Planning performance improved in middle-aged, but declined in older participants over 5 years. SNPs affecting the dopamine system (COMT, DRD2) and APOE polymorphisms differentially predicted cognitive performance in older vs. middle-aged individuals. For older individuals, high alcohol consumption, antidepressant medication and living without a partner had additional negative predictive power on cognition. In contrast, undiagnosed hypertension, no obstructive lung disease, and fewer years of education predicted cognitive decline in the middle-aged group. The results inform screening for individuals particularly vulnerable to cognitive decline and interventions (e.g., focusing on lifestyle factors) to help maintain cognitive performance into old age.
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http://dx.doi.org/10.1038/s41598-024-76784-1 | DOI Listing |
BMC Med Imaging
January 2025
Department of Physiology, Faculty of Medicine, AJA University of Medical Science, Tehran, Iran.
Background: Cognitive networks impairments are common in neuropsychiatric disorders like Attention Deficit Hyperactivity Disorder (ADHD), bipolar disorder (BD), and schizophrenia (SZ). While previous research has focused on specific brain regions, the role of the procedural memory as a type of long-term memory to examine cognitive networks impairments in these disorders remains unclear. This study investigates alterations in resting-state functional connectivity (rs-FC) within the procedural memory network to explore brain function associated with cognitive networks in patients with these disorders.
View Article and Find Full Text PDFNPJ Digit Med
January 2025
Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02129, USA.
Remote, digital cognitive testing on an individual's own device provides the opportunity to deploy previously understudied but promising cognitive paradigms in preclinical Alzheimer's disease (AD). The Boston Remote Assessment for NeuroCognitive Health (BRANCH) captures a personalized learning curve for the same information presented over seven consecutive days. Here, we examined BRANCH multi-day learning curves (MDLCs) in 167 cognitively unimpaired older adults (age = 74.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Experimental Medicine, University of Campania "Luigi Vanvitelli", Via Santa Maria Di Costantinopoli 16, 80138, Naples, Italy.
Patients with Mild Cognitive Impairment (MCI) may exhibit poorer performance in visuomotor tasks than healthy individuals, particularly under conditions with high cognitive load. Few studies have examined reaching movements in MCI and did so without assessing susceptibility to distractor interference. This proof-of-concept study analyzed the kinematics of visually guided reaching movements towards a target dot placed along the participants' midsagittal/reaching axis.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Psychology, Bielefeld University, 33501, Bielefeld, Germany.
Visual search becomes slower with aging, particularly when targets are difficult to discriminate from distractors. Multiple distractor rejection processes may contribute independently to slower search times: dwelling on, skipping of, and revisiting of distractors, measurable by eye-tracking. The present study investigated how age affects each of the distractor rejection processes, and how these contribute to the final search times in difficult (inefficient) visual search.
View Article and Find Full Text PDFAJNR Am J Neuroradiol
January 2025
From the Department of Department of Radiology, Brain Health Imaging Institute (A.R-F, J.I, S.P, M.d, G.C.C) Weill Cornell Medicine, New York-Presbyterian Hospital, New York, New York, USA; the Department of Neurology (A.R-F), Pontificia Universidad Javeriana, Bogota, Colombia; the Department of Radiology, Division of Molecular Imaging and Therapeutics (A.R-F, J.I) Weill Cornell Medicine, New York-Presbyterian Hospital, New York, New York, USA; the Department of Neurology (D.Z, MM, L.R, A.S.N) Weill Cornell Medicine, New York-Presbyterian Hospital, New York, New York, USA.
Amyloid-targeting therapy has recently become widely available in the U.S. for the treatment of patients with symptomatic mild Alzheimer's disease (AD).
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