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Mashup Score: 1Dual consistent pseudo label generation for multi-source domain adaptation without source data for medical image segmentation - 10 month(s) ago
IntroductionUnsupervised domain adaptation (UDA) aims to adapt a model learned from the source domain to the target domain. Thus, the model can obtain transferable knowledge even in target domain that does not have ground truth in this way. In medical image segmentation scenarios, there exist diverse data distributions caused by intensity in homogeneities and shape variabilities. But multi source…
Source: FrontiersCategories: Latest Headlines, NeurologyTweet
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Mashup Score: 0
BackgroundLongitudinal assessment of functional abilities in Parkinson’s disease (PD) is needed to determine the efficacy of cognitive interventions in providing meaningful improvements in daily life. Additionally, subtle changes in instrumental activities of daily living may precede a clinical diagnosis of dementia and could aid earlier detection of and intervention for cognitive…
Source: FrontiersCategories: Latest Headlines, NeurologyTweet
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Mashup Score: 1Self-supervised pretraining improves the performance of classification of task functional magnetic resonance imaging - 10 month(s) ago
IntroductionDecoding brain activities is one of the most popular topics in neuroscience in recent years. And deep learning has shown high performance in fMRI data classification and regression, but its requirement for large amounts of data conflicts with the high cost of acquiring fMRI data.MethodsIn this study, we propose an end-to-end temporal contrastive self-supervised learning algorithm,…
Source: FrontiersCategories: Latest Headlines, NeurologyTweet
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Mashup Score: 3
Sleep plays an essential role in all studied animals with a nervous system. However, sleep deprivation leads to various pathological changes and neurobehavioral problems. Astrocytes are the most abundant cells in the brain and are involved in various important functions, including neurotransmitter and ion homeostasis, synaptic and neuronal modulation, and blood–brain barrier maintenance;…
Source: FrontiersCategories: Latest Headlines, NeurologyTweet
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Mashup Score: 4Redistribution of the astrocyte phenotypes in the medial vestibular nuclei after unilateral labyrinthectomy - 10 month(s) ago
Astrocytes are highly heterogeneous and involved in different aspects of fundamental functions in the central nervous system (CNS). However, whether and how this heterogeneous population of cells reacts to the pathophysiological challenge is not well understood. To investigate the response status of astrocytes in the medial vestibular nucleus (MVN) after vestibular loss, we examined the subtypes…
Source: FrontiersCategories: Latest Headlines, NeurologyTweet
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Mashup Score: 1Unleashing the potential of dance: a neuroplasticity-based approach bridging from older adults to Parkinson’s disease patients - 10 month(s) ago
Parkinson’s disease (PD) is a neurodegenerative disorder that affects >1% of individuals worldwide and is manifested by motor symptoms such as tremor, rigidity, and bradykinesia, as well as non-motor symptoms such as cognitive impairment and depression. Non-pharmacological interventions such as dance therapy are becoming increasingly popular as complementary therapies for PD, in addition to…
Source: FrontiersCategories: Latest Headlines, NeurologyTweet
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Mashup Score: 0Neuroprotective effects of resistance physical exercise on the APP/PS1 mouse model of Alzheimer’s disease - 10 month(s) ago
IntroductionPhysical exercise has beneficial effects by providing neuroprotective and anti-inflammatory responses to AD. Most studies, however, have been conducted with aerobic exercises, and few have investigated the effects of other modalities that also show positive effects on AD, such as resistance exercise (RE). In addition to its benefits in developing muscle strength, balance and muscular…
Source: FrontiersCategories: Healthcare Professionals, Latest HeadlinesTweet
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Mashup Score: 0Analyses of m6A regulatory genes and subtype classification in atrial fibrillation - 10 month(s) ago
ObjectiveTo explore the role of m6A regulatory genes in atrial fibrillation (AF), we classified atrial fibrillation patients into subtypes by two genotyping methods associated with m6A regulatory genes and explored their clinical significance.MethodsWe downloaded datasets from the Gene Expression Omnibus (GEO) database. The m6A regulatory gene expression levels were extracted. We constructed and…
Source: FrontiersCategories: Latest Headlines, NeurologyTweet
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Mashup Score: 0Mapping trends and hotspots of mitochondrial dysfunction in Alzheimer’s disease from 2013 to 2022: a bibliometric analysis of global research - 10 month(s) ago
ObjectiveAlzheimer’s disease (AD), a prevalent neurodegenerative affliction that predominantly affects the elderly population, imposes a substantial burden on not only patients but also their families and society at large. Mitochondrial dysfunction plays an important role in its pathogenesis. In this study, we conducted a bibliometric analysis of research on mitochondrial dysfunction and AD over…
Source: FrontiersCategories: Latest Headlines, NeurologyTweet
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Mashup Score: 0Identification of diagnostic biomarkers in Alzheimer’s disease by integrated bioinformatic analysis and machine learning strategies - 10 month(s) ago
BackgroundAlzheimer’s disease (AD) is the most prevalent form of dementia, and is becoming one of the most burdening and lethal diseases. More useful biomarkers for diagnosing AD and reflecting the disease progression are in need and of significance.MethodsThe integrated bioinformatic analysis combined with machine-learning strategies was applied for exploring crucial functional pathways and…
Source: FrontiersCategories: Latest Headlines, NeurologyTweet
New Research: Dual consistent pseudo label generation for multi-source domain adaptation without source data for medical image segmentation: Introduction Unsupervised domain adaptation (UDA) aims to adapt a model learned from the source… #Neuroscience https://t.co/RqrJFikZpK