As we age, the added benefit of sleep for memory consolidation is lost. One of the hallmark age-related changes in sleep is the reduction of sleep spindles and slow waves. Gray matter neurodegeneration is related to both age-related changes in sleep and age-related changes in memory, including memory for problem-solving skills. Here, we investigated whether spindles and slow waves might serve as biological markers for neurodegeneration of gray matter and for the related memory consolidation deficits in older adults. Forty healthy young adults (20-35 yr) and 30 healthy older adults (60-85 yr) were assigned to either nap or wake conditions. Participants were trained on the Tower of Hanoi in the morning, followed by either a 90-min nap opportunity or period of wakefulness, and were retested afterward. We found that age-related changes in sleep spindles and slow waves were differentially related to gray matter intensity in young and older adults in brain regions that support sleep-dependent memory consolidation for problem-solving skills. Specifically, we found that spindles were related to gray matter in neocortical areas (e.g., somatosensory and parietal cortex), and slow waves were related to gray matter in the anterior cingulate, hippocampus, and caudate, all areas known to support problem-solving skills. These results suggest that both sleep spindles and slow waves may serve as biological markers of age-related neurodegeneration of gray matter and the associated reduced benefit of sleep for memory consolidation in older adults.
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http://dx.doi.org/10.1101/lm.053649.122 | DOI Listing |
Prog Neuropsychopharmacol Biol Psychiatry
December 2024
Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China. Electronic address:
Background: Individual neurobiological heterogeneity among patients with tobacco use disorder (TUD) hampers the identification of neuroimaging phenotypes.
Methods: The current study recruited 122 TUD individuals and 57 healthy controls, and obtained their 3D-T1 images. Heterogeneity through discriminative analysis (HYDRA) was applied to uncover the potential subtype of TUD where regional gray matter volume (GMV) was treated as the feature.
Prog Neuropsychopharmacol Biol Psychiatry
December 2024
Department of Geriatric Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, China. Electronic address:
Backgrounds: Aberrant brain structures in schizophrenia have been widely explored. However, the causal effects of negative symptoms on brain structural alterations are still unclear. This study aims to explore the synchronous and progressive alterations in gray matter volume (GMV) associated with negative symptoms.
View Article and Find Full Text PDFZh Nevrol Psikhiatr Im S S Korsakova
December 2024
Federal Center of Brain Research and Neurotechnologies, Moscow, Russia.
Objective: Study of neuroimaging changes according to MRI morphometry and their comparison with the structure and severity of cognitive impairment (CI) in patients with Alzheimer's disease (AD) and primary open-angle glaucoma (POAG).
Material And Methods: The study involved 90 patients who were divided into two equal groups of 45 people and who early had diagnosis of AD (group 1; median age - 71 [66; 77] years) and POAG (group 2; median age - 68 [64; 77] years). 71] years).
Brain Inj
December 2024
Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada.
Objective: The purpose of this study was to determine whether gray matter volume and diffusion-based metrics in associated white matter changed in breachers who had neuroimaging performed at two timepoints. A secondary purpose was to compare these changes in a group who had a one-year interval between their imaging timepoints to a group that had a two-year interval between imaging.
Methods: Between timepoints, clusters with significantly different gray matter volume were used as seeds for reconstruction of associated structural networks using diffusion metrics.
Appl Neuropsychol Adult
December 2024
Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Introduction: This study investigated the cortical and subcortical gray matter volume (GMV) and cognitive impairment (CI) in patients with Parkinson's disease (PD).
Methods: In this study, T1-weighted magnetic resonance imaging of the cortex and subcortex was conducted on 92 individuals diagnosed with PD and 92 healthy controls (HCs). PD patients were divided into three groups: PD with normal cognition (PD-NC, = 21), PD with mild CI (PD-MCI, = 43), and PD with severe CI (PD-SCI, = 28).
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