Results 91 to 100 of about 17,412,001 (255)
, 2014 Although brain plasticity is greatest in the first few years of life, the brain continues to be shaped by experience throughout adulthood. Advances in fMRI have enabled us to examine the plasticity of large-scale networks using blood oxygen level ...
Guerra-Carrillo, Belén +2 more
core +1 more source
Intact Visual Correlation Detection in Autistic Adults
Autism Research, EarlyView.ABSTRACT The ability to detect recurring temporal co‐occurrence, or temporal correlation, of sensory events is fundamental for organizing perceptual input into coherent representations. Although past work has revealed differences across several aspects of temporal processing in autism, it is unknown whether autistic and non‐autistic individuals differ ...
Lukas Vogelsang +6 more
wiley +1 more source
Resting-State fMRI preprocessing pipeline
, 2020 This project aims to create a high-quality and reproducible pre-processing script for resting state fMRI ...
James Daniel Sexton
core +5 more sources
Network Neuroscience, 2020 Concurrent electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) bridge brain connectivity across timescales. During concurrent EEG-fMRI resting-state recordings, whole-brain functional connectivity (FC) strength is spatially ...
Jonathan Wirsich +4 more
doaj +1 more source
Reflex seizures and epilepsy surgery: A network approach case‐based exploration
Epileptic Disorders, EarlyView.Abstract Context Reflex seizures (RS) are defined by their consistent provocation by specific stimuli, encompassing a broad range from elementary sensory inputs to complex cognitive tasks. While RS are often encountered in clinical practice, their surgical management remains sparsely reported and poorly systematized.
Olivier Aron +6 more
wiley +1 more source
, 2013 The multi-scan resting state fMRI (rs-fMRI) dataset was recently released; thus the test-retest (TRT) reliability of rs-fMRI measures can be assessed. However, because this dataset was acquired only from a single group under a single condition, we cannot
Dong, Zhangye +5 more
core +1 more source
Investigation of True High Frequency Electrical Substrates of fMRI-Based Resting State Networks Using Parallel Independent Component Analysis of Simultaneous EEG/fMRI Data [PDF]
, 2017 Previous work using simultaneously acquired electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) data has shown that the slow temporal dynamics of resting state brain networks (RSNs), e.g., default mode network (DMN), visual ...
Gopikrishna Deshpande +7 more
core +2 more sources
Individual‐specific resting‐state networks predict language dominance in drug‐resistant epilepsy
Epilepsia, EarlyView.Abstract Objective This study was undertaken to reliably estimate individual‐specific resting‐state cortical networks and determine whether language network topography can predict task‐based language dominance in drug‐resistant epilepsy. Methods We utilized a multisession hierarchical Bayesian model (MS‐HBM) trained on drug‐resistant epilepsy patients ...
Mervyn Jun Rui Lim +7 more
wiley +1 more source
Frequency-Dependent Relationship Between Resting-State fMRI and Glucose Metabolism in the Elderly [PDF]
, 2019 Both glucose metabolism and resting-state fMRI (RS-fMRI) signal reflect hemodynamic features. The objective of this study was to investigate their relationship in the resting-state in healthy elderly participants (n = 18).
Su, Hui +11 more
core +2 more sources
The dynamic functional connectivity peak index: Detection of interictal epileptic activity with fMRI
Epilepsia, EarlyView.Abstract Objective Epileptogenic zone (EZ) localization is crucial for surgical treatment of patients with medication‐resistant epilepsy. Although simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) can detect interictal discharges for EZ localization, clinical adoption is limited by the need for specialized ...
Lucas E. Sainburg +9 more
wiley +1 more source