Neuroscience
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To explore the performance of deep learning-based segmentation of infarcted lesions in the brain magnetic resonance imaging (MRI) of patients with acute ischemic stroke (AIS) and the recurrence prediction value of radiomics within 1 year after discharge as well as to develop a model incorporating radiomics features and clinical factors to accurately predict AIS recurrence. ⋯ The MRA-UNet model can effectively improve the segmentation accuracy of MRI. The model, which was established by combining radiomics features and clinical factors, held some value for predicting AIS recurrence within 1 year.
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This study assessed the neural mechanisms and relative saliency of categorization for speech sounds and comparable graphemes (i.e., visual letters) of the same phonetic label. Given that linguistic experience shapes categorical processing, and letter-speech sound matching plays a crucial role during early reading acquisition, we hypothesized sound phoneme and visual grapheme tokens representing the same linguistic identity might recruit common neural substrates, despite originating from different sensory modalities. Behavioral and neuroelectric brain responses (ERPs) were acquired as participants categorized stimuli from sound (phoneme) and homologous letter (grapheme) continua each spanning a /da/-/ga/ gradient. ⋯ Auditory and visual categorization also recruited common visual association areas in extrastriate cortex but in opposite hemispheres (auditory = left; visual = right). Our findings reveal both auditory and visual sensory cortex supports categorical organization for phonetic labels within their respective modalities. However, a partial overlap in phoneme and grapheme processing among occipital brain areas implies the presence of an isomorphic, domain-general mapping for phonetic categories in dorsal visual system.
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Complexity of neuronal firing patterns may serve as an indicator of sensory information processing across different states of consciousness. Recent studies have shown that spontaneous changes in brain states can occur during general anesthesia, which may influence neuronal complexity and the state of consciousness. In this study, we investigated how the firing patterns of cortical neurons, both at rest and during visual stimulation, are affected by spontaneously changing brain states under varying levels of anesthesia. ⋯ However, this was contradicted by the observation of low neuronal complexity in both spontaneous and stimulus-related spike activity, which more closely aligns with unconsciousness. Our findings reveal that transient neuronal states with distinct spiking patterns can emerge in visual cortex at constant anesthetic concentrations. The reduced complexity in states associated with deep anesthesia likely indicates a disruption of conscious sensory information processing.
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Transient receptor vanillin 1 (TRPV1) is widely expressed in the neural axis and surrounding tissues, and is easily activated by harmful stimuli such as pain and inflammatory responses. Previous studies have shown that activated TRPV1 channels regulate all levels of nervous system activity by improving calcium influx and modulating nervous system excitability. Recent studies have suggested that TRPV1 activation in the peripheral nervous system may induce sleep disorders, while activation in the central nervous system may ameliorate sleep disorders and assist memory consolidation processes. Here, we summarize the risk factors for inducing sleep disorders, the alteration of these risk factors by TRPV1 receptor activation, and the driving effect of TRPV1 receptor activity on memory consolidation.
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Loss of language function (aphasia) is a common complication after stroke, and post-stroke recovery remains highly unpredictable due to the absence of reliable neurobiomarkers. Growing evidence points to involvement of the cerebellum in language processing; however, it is unclear if abnormal cerebellar activity and altered functional connectivity (FC) to language-related regions of cerebral cortex are underlying neural mechanisms for subcortical aphasia. In this longitudinal observational study, we used resting-state functional magnetic resonance imaging to examine potential abnormalities in spontaneous cerebellar activity and resting-state (rs)FC with language networks among post-stroke patients with subacute subcortical aphasia (n = 19) compared to healthy controls (HCs, n = 18). ⋯ Baseline rCrus II-LIFG rsFC was also positively correlated with spontaneous speech and naming scores at follow-up. A stronger baseline rCrus II-LIFG rsFC predicted superior recovery of language function post-stroke. We conclude that the right cerebellum may be an effective therapeutic target for subcortical aphasia.