Background: Subjects with subjective cognitive decline (SCD) are proposed as a potential population to screen for Alzheimer's disease (AD).
Objective: Investigating brain topologies would help to mine the neuromechanisms of SCD and provide new insights into the pathogenesis of AD.
Methods: Objectively cognitively unimpaired subjects from communities who underwent resting-state BOLD-fMRI and clinical assessments were included. The subjects were categorized into SCD and normal control (NC) groups according to whether they exhibited self-perceived cognitive decline and were worried about it. The minimum spanning tree (MST) of the functional brain network was calculated for each subject, based on which the efficiency and centrality of the brain network organization were explored. Hippocampal/parahippocampal volumes were also detected to reveal whether the early neurodegeneration of AD could be seen in SCD.
Results: A total of 49 subjects in NC and 95 subjects in SCD group were included in this study. We found the efficiency and centrality of brain network organization, as well as the hippocampal/parahippocampal volume were preserved in SCD. Besides, SCD exhibited normal cognitions, including memory, language, and execution, but increased depressive and anxious levels. Interestingly, language and execution, instead of memory, showed a significant positive correlation with the maximum betweenness centrality of the functional brain organization and hippocampal/parahippocampal volume. Neither depressive nor anxious scales exhibited correlations with the brain functional topologies or hippocampal/parahippocampal volume.
Conclusion: SCD exhibited preserved efficiency and centrality of brain organization. In clinical practice, language and execution as well as depression and anxiety should be paid attention in SCD.
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http://dx.doi.org/10.3233/JAD-220527 | DOI Listing |
Chem Rev
January 2025
Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60208, United States.
Recent breakthroughs in brain-inspired computing promise to address a wide range of problems from security to healthcare. However, the current strategy of implementing artificial intelligence algorithms using conventional silicon hardware is leading to unsustainable energy consumption. Neuromorphic hardware based on electronic devices mimicking biological systems is emerging as a low-energy alternative, although further progress requires materials that can mimic biological function while maintaining scalability and speed.
View Article and Find Full Text PDFJ Physiol
January 2025
Centre for Discovery Brain Science, Edinburgh Medical School: Biomedical Sciences, University of Edinburgh, Edinburgh, UK.
JAMA Psychiatry
January 2025
Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania.
Importance: Mania/hypomania is the pathognomonic feature of bipolar disorder (BD). As BD is often misdiagnosed as major depressive disorder (MDD), replicable neural markers of mania/hypomania risk are needed for earlier BD diagnosis and pathophysiological treatment development.
Objective: To replicate the previously reported positive association between left ventrolateral prefrontal cortex (vlPFC) activity during reward expectancy (RE) and mania/hypomania risk, to explore the effect of MDD history on this association, and to compare RE-related left vlPFC activity in individuals with and at risk of BD.
Transl Vis Sci Technol
January 2025
Vrije Universiteit Amsterdam, Department of Human Movement Sciences, Amsterdam Movement Sciences and Institute Brain and Behaviour Amsterdam (iBBA), Amsterdam, the Netherlands.
Purpose: Understanding the impact of vision impairment on dynamic tasks requiring visual processing is crucial for developing effective adaptive strategies that support individuals with vision impairment in optimizing their performance in natural tasks. This study aimed to establish the gaze patterns used by individuals with vision impairment when hitting a moving target.
Methods: Nineteen tennis players with vision impairment were recruited and their eye and head movements were tracked while they returned tennis serves.
Methods Mol Biol
January 2025
Instituto Cajal, Consejo Superior de Investigaciones Científicas, Madrid, Spain.
In the Drosophila brain, neuronal diversity originates from approximately 100 neural stem cells, each dividing asymmetrically. Precise mapping of cell lineages at the single-cell resolution is crucial for understanding the mechanisms that direct neuronal specification. However, existing methods for high-resolution lineage tracing are notably time-consuming and labor-intensive.
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