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Background: Superagers, older adults with exceptional cognitive abilities, show preserved brain structure compared to typical older adults. We investigated whether superagers have biologically younger brains based on their structural integrity.

Methods: A cohort of 153 older adults (aged 61-93) was recruited, with 63 classified as superagers based on superior episodic memory and 90 as typical older adults, of whom 64 were followed up after two years.

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The application of the technique for dorsal median sulcus mapping in intramedullary space occupying surgery: a single-center experience.

Acta Neurochir (Wien)

January 2025

Department of Neurosurgery and Department of Neuroscience, Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen Key Laboratory of Brain Center, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China.

Purpose: To investigate the technique for dorsal median sulcus (DMS) mapping and assess its application value in preserving dorsal columnn (DC) function during intramedullary space occupying surgery based on a single-center experience.

Methods: A retrospective analysis was conducted on 41 cases of intramedullary spinal cord tumor admitted to the Department of Neurosurgery at the First Affiliated Hospital of Xiamen University from March 2017 to August 2023. All included cases underwent intraoperative electrophysiological monitoring, and were divided into a study group (n = 18) and a control group (n = 23), based on whether DMS mapping technique was utilized.

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Teravoxel-scale, cellular-resolution images of cleared rodent brains acquired with light-sheet fluorescence microscopy have transformed the way we study the brain. Realizing the potential of this technology requires computational pipelines that generalize across experimental protocols and map neuronal activity at the laminar and subpopulation-specific levels, beyond atlas-defined regions. Here, we present artficial intelligence-based cartography of ensembles (ACE), an end-to-end pipeline that employs three-dimensional deep learning segmentation models and advanced cluster-wise statistical algorithms, to enable unbiased mapping of local neuronal activity and connectivity.

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Transcranial magnetic stimulation (TMS) has the potential to yield insights into cortical functions and improve the treatment of neurological and psychiatric conditions. However, its reliability is hindered by a low reproducibility of results. Among other factors, such low reproducibility is due to structural and functional variability between individual brains.

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