Results 81 to 90 of about 63,144 (227)
Predicting phenotypes of elderly from resting state fMRI [PDF]
, 2023 Barbara Verovnik +2 more
openalex +1 more source
Autism Research, EarlyView.ABSTRACT Prominent theories of autism suggest autism‐associated differences in visual‐motor integration (VMI) may disrupt learning of motor and social skills typically acquired by observation and imitation. Supporting these theories, children with autism spectrum disorder (ASD) show robust differences in motor tasks reliant on dynamic VMI (e.g., ball ...
Jonah McLaughlin +3 more
wiley +1 more source
Atypical Visually Guided Precision Grip Control in Middle‐Aged and Older Autistic Adults
Autism Research, EarlyView.ABSTRACT Sensorimotor impairments are well documented in autism spectrum disorder (ASD). However, little is known about how these difficulties present in middle‐aged and older autistic adults or how they relate to demographic factors and autistic traits.
Zheng Wang +9 more
wiley +1 more source
The Neuroradiology Journal, 2017 The inquisitiveness about what happens in the brain has been there since the beginning of humankind. Functional magnetic resonance imaging is a prominent tool which helps in the non-invasive examination, localisation as well as lateralisation of brain functions such as language, memory, etc.
K A, Smitha +6 more
openaire +3 more sources
Annals of the Child Neurology Society, EarlyView.ABSTRACT Objective Autism spectrum disorder (ASD) affects 1 in 36 individuals in the United States and is characterized by impaired social communication and restrictive/repetitive behaviors. Individuals with tuberous sclerosis complex (TSC) have a high incidence of ASD (40%) and exhibit congenital brain lesions (tubers), offering a unique lesion‐based ...
Wendy Xiao Herman +10 more
wiley +1 more source
Construction of embedded fMRI resting state functional connectivity networks using manifold learning
, 2020 We construct embedded functional connectivity networks (FCN) from benchmark resting-state functional magnetic resonance imaging (rsfMRI) data acquired from patients with schizophrenia and healthy controls based on linear and nonlinear manifold learning ...
Galaris, Evangelos +2 more
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Network Connectivity in Epilepsy: Resting State fMRI and EEG-fMRI Contributions. [PDF]
, 2014 There is a growing body of evidence pointing toward large-scale networks underlying the core phenomena in epilepsy, from seizure generation to cognitive dysfunction or response to treatment.
Carmichael, DW, Centeno, M
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Epilepsia, EarlyView.Abstract Objective Interictal epileptiform discharges (IEDs) observed on scalp electroencephalography (EEG) serve as a diagnostic hallmark of epilepsy. However, only a small fraction of IEDs recorded by intracranial EEG (iEEG) are detectable on the scalp; the vast majority remain invisible on scalp recordings.
Nicolas Roehri +7 more
wiley +1 more source
Absence seizures: Update on signaling mechanisms and networks
Epilepsia Open, EarlyView.Abstract Absence seizures (AS) are a hallmark of genetic generalized epilepsies (GGE), characterized by brief episodes of impaired consciousness accompanied by electroencephalographic spike‐and‐wave discharges (SWDs). Traditionally attributed to cortico‐thalamo‐cortical (CTC) dysrhythmia, emerging evidence suggests a more intricate pathophysiological ...
Ozlem Akman, Filiz Onat
wiley +1 more source
Brain Connections – Resting State fMRI Functional Connectivity
, 2013 With the introduction of electroencephalography (EEG) in 1930, researchers began to explore spontaneous activity in the brain by recording the individual, independently of any task. Subsequently, evoked potential studies, where electrical potentials were recorded at the onset of a stimulus, marked a milestone in brain research.
de la Iglesia-Vaya, M. +4 more
openaire +4 more sources