[HTML][HTML] The development of theta and alpha neural oscillations from ages 3 to 24 years
Intrinsic, unconstrained neural activity exhibits rich spatial, temporal, and spectral
organization that undergoes continuous refinement from childhood through adolescence …
organization that undergoes continuous refinement from childhood through adolescence …
Globally elevated excitation–inhibition ratio in children with autism spectrum disorder and below-average intelligence
VO Manyukhina, AO Prokofyev, IA Galuta, DE Goiaeva… - Molecular autism, 2022 - Springer
Background Altered neuronal excitation–inhibition (E–I) balance is strongly implicated in
ASD. However, it is not known whether the direction and degree of changes in the E–I ratio …
ASD. However, it is not known whether the direction and degree of changes in the E–I ratio …
Longitudinal investigation of executive function development employing task‐based, teacher reports, and fNIRS multimethodology in 4‐to 5‐year‐old children
CM Eng, M Pocsai, VE Fulton, SP Moron… - Developmental …, 2022 - Wiley Online Library
Increased focus on resting‐state functional connectivity (rsFC) and the use and accessibility
of functional near‐infrared spectroscopy (fNIRS) have advanced knowledge on the …
of functional near‐infrared spectroscopy (fNIRS) have advanced knowledge on the …
[HTML][HTML] From bench to bedside: Overview of magnetoencephalography in basic principle, signal processing, source localization and clinical applications
Y Yang, S Luo, W Wang, X Gao, X Yao, T Wu - NeuroImage: Clinical, 2024 - Elsevier
Magnetoencephalography (MEG) is a non-invasive technique that can precisely capture the
dynamic spatiotemporal patterns of the brain by measuring the magnetic fields arising from …
dynamic spatiotemporal patterns of the brain by measuring the magnetic fields arising from …
[HTML][HTML] Abnormal Brain Oscillations in Developmental Disorders: Application of Resting State EEG and MEG in Autism Spectrum Disorder and Fragile X Syndrome
S Liang, M Mody - Frontiers in Neuroimaging, 2022 - frontiersin.org
Autism Spectrum Disorder (ASD) and Fragile X Syndrome (FXS) are neurodevelopmental
disorders with similar clinical and behavior symptoms and partially overlapping and yet …
disorders with similar clinical and behavior symptoms and partially overlapping and yet …
Behaviour-correlated profiles of cerebellar-cerebral functional connectivity observed in independent neurodevelopmental disorder cohorts
The cerebellum, through its connectivity with the cerebral cortex, plays an integral role in
regulating cognitive and affective processes, and its dysregulation can result in …
regulating cognitive and affective processes, and its dysregulation can result in …
[PDF][PDF] Richer than we thought: neurophysiological methods reveal rich-club network development is frequency-and sex-dependent
A set of highly connected brain regions called the" rich-club" are vital in integrating
information across the functional connectome. Although the literature has identified some …
information across the functional connectome. Although the literature has identified some …
Aberrant age-related alterations in spontaneous cortical activity in participants with cerebral palsy
H Bergwell, MP Trevarrow, E Heinrichs-Graham… - Frontiers in …, 2023 - frontiersin.org
Introduction Cerebral Palsy (CP) is the most common neurodevelopmental motor disability,
resulting in life-long sensory, perception and motor impairments. Moreover, these …
resulting in life-long sensory, perception and motor impairments. Moreover, these …
[HTML][HTML] Social-cognitive network connectivity in preterm children and relations with early nutrition and developmental outcomes
J Sato, MM Vandewouw, K Safar, DVY Ng… - Frontiers in Systems …, 2022 - frontiersin.org
Infants born very low birth weight (VLBW,< 1,500 g) are at a heightened risk for structural
brain abnormalities and social-cognitive deficits, which can impair behavioural functioning …
brain abnormalities and social-cognitive deficits, which can impair behavioural functioning …
Functional connectivity based machine learning approach for autism detection in young children using MEG signals
Objective. Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder, and
identifying early autism biomarkers plays a vital role in improving detection and subsequent …
identifying early autism biomarkers plays a vital role in improving detection and subsequent …