Results 21 to 30 of about 5,006,415 (321)
Effect of sleep deprivation and NREM sleep stage on physiological brain pulsations
Frontiers in Neuroscience, 2023 IntroductionSleep increases brain fluid transport and the power of pulsations driving the fluids. We investigated how sleep deprivation or electrophysiologically different stages of non-rapid-eye-movement (NREM) sleep affect the human brain pulsations ...
Heta Helakari +30 more
doaj +1 more source
American Journal of Psychiatry, 2007 OBJECTIVE The study of human anxiety disorders has benefited greatly from functional neuroimaging approaches. Individual studies, however, vary greatly in their findings.
A. Etkin, T. Wager
semanticscholar +1 more source
Predicting Responses from Weighted Networks with Node Covariates in an Application to Neuroimaging [PDF]
arXiv, 2022 We consider the setting where many networks are observed on a common node set, and each observation comprises edge weights of a network, covariates observed at each node, and an overall response. The goal is to use the edge weights and node covariates to predict the response while identifying an interpretable set of predictive features.
arxiv
Probabilistic prediction of neurological disorders with a statistical assessment of neuroimaging data modalities [PDF]
Annals of Applied Statistics 2012, Vol. 6, No. 4, 1883-1905, 2013 For many neurological disorders, prediction of disease state is an important clinical aim. Neuroimaging provides detailed information about brain structure and function from which such predictions may be statistically derived. A multinomial logit model with Gaussian process priors is proposed to: (i) predict disease state based on whole-brain ...
arxiv +1 more source
Deep Learning Identifies Neuroimaging Signatures of Alzheimer's Disease Using Structural and Synthesized Functional MRI Data [PDF]
, 2021 Current neuroimaging techniques provide paths to investigate the structure and function of the brain in vivo and have made great advances in understanding Alzheimer's disease (AD). However, the group-level analyses prevalently used for investigation and understanding of the disease are not applicable for diagnosis of individuals.
arxiv +1 more source
Assessing inter-individual differences with task-related functional neuroimaging
Nature Human Behaviour, 2019 Explaining and predicting individual behavioural differences induced by clinical and social factors constitutes one of the most promising applications of neuroimaging.
M. Lebreton +3 more
semanticscholar +1 more source
Resting state fast brain dynamics predict interindividual variability in motor performance
Scientific Reports, 2022 Motor learning features rapid enhancement during practice then offline post-practice gains with the reorganization of related brain networks. We hypothesised that fast transient, sub-second variations in magnetoencephalographic (MEG) network activity ...
Liliia Roshchupkina +4 more
doaj +1 more source
Clinical Autonomic Research, 2018 PurposeThe central autonomic network (CAN) is an intricate system of brainstem, subcortical, and cortical structures that play key roles in the function of the autonomic nervous system.
Miriam Sklerov, E. Dayan, N. Browner
semanticscholar +1 more source
Copy Number Variation Informs fMRI-based Prediction of Autism Spectrum Disorder [PDF]
arXiv, 2023 The multifactorial etiology of autism spectrum disorder (ASD) suggests that its study would benefit greatly from multimodal approaches that combine data from widely varying platforms, e.g., neuroimaging, genetics, and clinical characterization. Prior neuroimaging-genetic analyses often apply naive feature concatenation approaches in data-driven work or
arxiv
Brain Sciences, 2015 Emerging evidence suggests that emotion and affect modulate the relation between sleep and cognition. In the present study, we investigated the role of rapid-eye movement (REM) sleep in mood regulation and memory consolidation for sad stories.
Médhi Gilson +6 more
doaj +1 more source