Results 61 to 70 of about 362,106 (369)
A pilot randomized controlled trial of WeiNaoKang (SaiLuoTong) in treating vascular dementia
AGING MEDICINE, Volume 5, Issue 4, Page 246-256, December 2022., 2022 A 16‐week randomized double‐blind, placebo‐controlled trial for vascular dementia was carried out with WeiNaoKang (or SaiLuoTong). There were significant differences in improvement in cognitive function and activities of daily living, favouring the treatment group.
Junguang Liu +6 more
wiley +1 more source
Alzheimer's & Dementia, 2021 The Alzheimer's Disease Neuroimaging Initiative (ADNI) has accumulated 15 years of clinical, neuroimaging, cognitive, biofluid biomarker and genetic data, and biofluid samples available to researchers, resulting in more than 3500 publications.
D. Veitch +19 more
semanticscholar +1 more source
Active inference and the two-step task
Scientific Reports, 2022 Sequential decision problems distill important challenges frequently faced by humans. Through repeated interactions with an uncertain world, unknown statistics need to be learned while balancing exploration and exploitation.
Sam Gijsen +2 more
doaj +1 more source
Neuroimaging of infections [PDF]
Neurotherapeutics, 2005 Neuroimaging plays a crucial role in the diagnosis and therapeutic decision making in infectious diseases of the nervous system. The review summarizes imaging findings and recent advances in the diagnosis of pyogenic brain abscess, ventriculitis, viral disease including exotic and emergent viruses, and opportunistic disease.
Oliver Kastrup +2 more
openaire +3 more sources
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
A Survey on Deep Learning for Neuroimaging-Based Brain Disorder Analysis [PDF]
Frontiers in Neuroscience, 2020 Deep learning has recently been used for the analysis of neuroimages, such as structural magnetic resonance imaging (MRI), functional MRI, and positron emission tomography (PET), and it has achieved significant performance improvements over traditional ...
Li Zhang +3 more
semanticscholar +1 more source
Seminars in Neurology, 2017 Imaging of infection in the CNS has been handled using cross-sectional imaging for more than two decades now resulting in a large array of descriptive diagnostic criteria, capable, in most circumstances of narrowing the differential diagnosis, detecting life-threatening complications and establishing baseline for assessment of treatment response ...
openaire +3 more sources
American Journal of Psychiatry, 2002 OBJECTIVE Studies of the neurobiological processes underlying drug addiction primarily have focused on limbic subcortical structures. Here the authors evaluated the role of frontal cortical structures in drug addiction.
Rita Z. Goldstein, N. Volkow
semanticscholar +1 more source
Scanning the horizon: towards transparent and reproducible neuroimaging research
Nature Reviews Neuroscience, 2016 Functional neuroimaging techniques have transformed our ability to probe the neurobiological basis of behaviour and are increasingly being applied by the wider neuroscience community.
R. Poldrack +9 more
semanticscholar +1 more source
Annals of Clinical and Translational Neurology, EarlyView.Abstract Objectives This study sought to evaluate proteomic, metabolomic, and immune signatures in the cerebrospinal fluid of individuals with Down Syndrome Regression Disorder (DSRD). Methods A prospective case–control study comparing proteomic, metabolomic, and immune profiles in individuals with DSRD was performed.
Jonathan D. Santoro +12 more
wiley +1 more source