Neuroscience
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Parkinson's disease (PD) is one of the leading causes of neurological disability, and its prevalence is expected to increase rapidly in the following few decades. PD diagnosis heavily depends on clinical features using the patient's symptoms. Therefore, an accurate, robust, and non-invasive bio-marker is of critical clinical importance for PD. ⋯ The proposed methodology is applied to three open fMRI databases for demonstration and validation. The PD diagnosis accuracy can reach 96.4% when the proposed methodology is used. Thus, rs-fMRI and topological machine learning provide a quantifiable and verifiable bio-marker for future PD early detection and treatment evaluation.
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Spreading depolarizations (SD) refer to the near-complete depolarization of neurons that is associated with brain injuries such as ischemic stroke. The present gold standard for SD monitoring in humans is invasive electrocorticography (ECoG). A promising non-invasive alternative to ECoG is diffuse optical monitoring of SD-related flow and hemoglobin transients. ⋯ Flow transient morphology, positive amplitude, positive slope, and total amplitude were all strongly associated with infarction (p < 0.001). Associations with infarction were also observed for oxy-hemoglobin morphology, oxy-hemoglobin positive amplitude and slope, and deoxy-hemoglobin positive slope and duration (all p < 0.01). These results suggest that flow and hemoglobin transients accompanying SD have value for detecting infarction.
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Perceptual decisions rely on accumulating sensory evidence over time. However, the accumulation process is complicated in real life when evidence resulted from separated cues over time. ⋯ We used behavioral and EEG datasets from a visual choice task -Random dot motion- with separated evidence to investigate three candid distributed neural networks. We showed that decisions based on evidence accumulation by separated cues over time are best explained by the interplay of recurrent cortical dynamics of centro-parietal and frontal brain areas while an uncertainty-monitoring module included in the model.
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β-hydroxybutyrate (BHB) is one of main component of ketone body, which plays an important protective role in various tissues and organs. Whereas, its exact regulatory roles and mechanisms in Parkinson's disease (PD) have not been full elucidated. In this study, SN4741 cells and C57BL/6 mice were treated with 1-methyl-4-phenylpyridinium ion (MPP+)/1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) to establish the PD model in vitro and in vivo. ⋯ Mechanistically, Zinc finger protein 36 (ZFP36) was a target of BHB, and its depletion could reverse the anti-oxidative stress and anti-ferroptosis roles of BHB. Moreover, ZFP36 could directly bound to acyl-CoA synthetase long-chain family member 4 (ACSL4) mRNA to decay its expression, thus negatively modulating ACSL4-mediated oxidative stress and ferroptosis. Summary, BHB alleviated oxidative stress and ferroptosis of dopaminergic neurons in PD via modulating ZFP36/ACSL4 axis, which provided some new understanding for PD prevention and treatment.
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A growth mindset refers to an individual's beliefs about the malleable nature of intelligence. It plays an important role in motivation and achievement. However, few studies have examined the brain mechanisms involved in the growth mindset. ⋯ Whole-brain correlation analyses showed a positive relationship between growth mindset scores and regional GMV of the medial orbitofrontal cortex (mOFC) after controlling for age, sex, and total intracranial volume. This result was robust after controlling for intelligence quotient. The mOFC was primarily related to reward processing, supporting the social-cognitive theory of motivation on growth mindset.