Results 61 to 70 of about 588,701 (259)

Alterations in somatosensory, visual and auditory pathways in amyotrophic lateral sclerosis: an under-recognised facet of ALS

open access: yesJournal of Integrative Neuroscience, 2022
Background: While amyotrophic lateral sclerosis (ALS) is widely recognised as a multi-network disorder with extensive frontotemporaland cerebellar involvement, sensory dysfunction is relatively under evaluated.
Rangariroyashe H. Chipika   +5 more
doaj   +1 more source

Neuroimaging study designs, computational analyses and data provenance using the LONI pipeline. [PDF]

open access: yes, 2010
Modern computational neuroscience employs diverse software tools and multidisciplinary expertise to analyze heterogeneous brain data. The classical problems of gathering meaningful data, fitting specific models, and discovering appropriate analysis and ...
Chakrapani, Shruthi   +14 more
core   +3 more sources

Scanning the horizon: towards transparent and reproducible neuroimaging research

open access: yesNature 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

Using the Alzheimer's Disease Neuroimaging Initiative to improve early detection, diagnosis, and treatment of Alzheimer's disease

open access: yesAlzheimer'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

APOE4 rat model of Alzheimer’s disease: sex differences, genetic risk and diet

open access: yesBMC Neuroscience
The strongest genetic risk factor for Alzheimer’s disease (AD) is the ε4 allele of apolipoprotein E (ApoE ε4). A high fat diet also adds to the risk of dementia and AD.
Bradley Colarusso   +6 more
doaj   +1 more source

Fusing multimodal neuroimaging data with a variational autoencoder [PDF]

open access: yesarXiv, 2021
Neuroimaging studies often involve the collection of multiple data modalities. These modalities contain both shared and mutually exclusive information about the brain. This work aims at finding a scalable and interpretable method to fuse the information of multiple neuroimaging modalities using a variational autoencoder (VAE).
arxiv  

Drug addiction and its underlying neurobiological basis: neuroimaging evidence for the involvement of the frontal cortex.

open access: yesAmerican 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

Kinematic parameters obtained with the ArmeoSpring for upper-limb assessment after stroke: a reliability and learning effect study for guiding parameter use

open access: yesJournal of NeuroEngineering and Rehabilitation, 2020
Background After stroke, kinematic measures obtained with non-robotic and robotic devices are highly recommended to precisely quantify the sensorimotor impairments of the upper-extremity and select the most relevant therapeutic strategies.
Nabila Brihmat   +4 more
doaj   +1 more source

Corticobasal syndrome: neuroimaging and neurophysiological advances [PDF]

open access: yes, 2019
Corticobasal degeneration (CBD) is a neurodegenerative condition characterized by 4R-tau protein deposition in several brain regions that clinically manifests itself as a heterogeneous atypical parkinsonism typically expressing in the adulthood.
Asci, Francesco   +9 more
core   +1 more source

BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets

open access: yesCommunications Biology, 2019
Understanding how cognitive functions emerge from brain structure depends on quantifying how discrete regions are integrated within the broader cortical landscape.
Reinder Vos de Wael   +13 more
semanticscholar   +1 more source

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