Results 71 to 80 of about 254,305 (352)
Network-Targeted Approach and Postoperative Resting-State Functional Magnetic Resonance Imaging Are Associated with Seizure Outcome [PDF]
, 2019 Objective Postoperative resting‐state functional magnetic resonance imaging (MRI) in children with intractable epilepsy has not been quantified in relation to seizure outcome.
Adelson, P. David +10 more
core +1 more source
Dynamic effective connectivity in resting state fMRI
NeuroImage, 2018 Context-sensitive and activity-dependent fluctuations in connectivity underlie functional integration in the brain and have been studied widely in terms of synaptic plasticity, learning and condition-specific (e.g., attentional) modulations of synaptic efficacy.
Park, H-J +4 more
openaire +5 more sources
Advanced Materials, EarlyView.Convergence drawing is used to create flexible, microscale, multifunctional fiber‐based neural probes. Optimized materials selection enables individual devices to perform neural recording, electrical stimulation, optogenetics, fiber photometry, fluid delivery, and voltammetric neurotransmitter detection in rodents.
Nicolette Driscoll +16 more
wiley +1 more source
Loss of resting-state posterior cingulate flexibility is associated with memory disturbance in left temporal lobe epilepsy. [PDF]
PLoS ONE, 2015 The association between cognition and resting-state fMRI (rs-fMRI) has been the focus of many recent studies, most of which use stationary connectivity.
Linda Douw +6 more
doaj +1 more source
Altered Brain‐Behavior Association During Resting State is a Potential Psychosis Risk Marker
Advanced Science, EarlyView.The study detects a potential multimodal biomarker that can be promising for identifying early markers of psychosis. It shows a consistent brain‐behavior association between a circuit of interconnected regions and executive function in neurotypical controls and individuals at various stages of psychosis.
Leonardo Fazio +22 more
wiley +1 more source
Monkey in the middle: why non-human primates are needed to bridge the gap in resting-state investigations [PDF]
, 2012 Resting-state investigations based on the evaluation of intrinsic low-frequency fluctuations of the BOLD fMRI signal have been extensively utilized to map the structure and dynamics of large-scale functional network organization in humans. In addition to
R. Matthew Hutchison, Stefan Everling
core +1 more source
Machine learning in resting-state fMRI analysis
Magnetic Resonance Imaging, 2019 51 pages, 6 ...
Meenakshi Khosla +4 more
openaire +4 more sources
On the generalizability of resting-state fMRI machine learning classifiers [PDF]
Frontiers in Human Neuroscience, 2014 Machine learning classifiers have become increasingly popular tools to generate single-subject inferences from fMRI data. With this transition from the traditional group level difference investigations to single-subject inference, the application of machine learning methods can be seen as a considerable step forward.
Wolfgang eHuf +15 more
openaire +3 more sources
Comparison of Large Language Model with Aphasia
Advanced Science, EarlyView.Large language models (LLMs) answer almost all questions fluently but often inaccurately, which resembles a specific type of aphasia in humans. Using a data‐driven analysis called energy landscape analysis, this study reveals similarities in the internal information dynamics between LLMs and the brains of humans with receptive aphasia, such as Wernicke'
Takamitsu Watanabe +4 more
wiley +1 more source
, 2014 Resting state functional magnetic resonance imaging (fMRI) was used to measure whole brain functional connectivity within specific networks hypothesised to be more affected in dementia with Lewy bodies (DLB) (a disease characterised by prominent ...
Blamire, Andrew M +3 more
core +2 more sources