Results 231 to 240 of about 172,524 (297)

EEG N1 Specialization to Print in Chinese Primary School Students: Developmental Trajectories, Longitudinal Changes, and Individual Differences

Child Development, EarlyView.
ABSTRACT Neural specialization for print can be indexed by the left‐lateralized N1 response as a tuning gradient to visual words, indicated by sensitivity (character vs. visual control) and selectivity (character vs. character‐like stimuli). Forty‐five Chinese children (20 boys) were recorded with EEG twice with a 2‐year interval during a character ...
Shuting Huo, Jason Chor Ming Lo, Kelvin Fai Hong Lui, Urs Maurer, Catherine Mcbride   +4 more
wiley   +1 more source

Neural Maturity of Encoding States Supports Gains to Memory Precision in Childhood

Child Development, EarlyView.
ABSTRACT Despite substantial improvements to memory precision in childhood, the neural mechanisms underlying these changes remain unclear. Here, 40 children (7–9 years; 22 females, 18 males; majority White) and 42 adults (24–35 years; 22 females, 20 males; majority White) modulated their approaches to memory formation—focusing on the specific details ...
Sagana Vijayarajah, Margaret L. Schlichting   +1 more
wiley   +1 more source

Spatio-temporal independent component classification for localization of seizure onset zone. [PDF]

Front Neurol
Sadjadi SM, Ebrahimzadeh E, Fallahi A, Habibabadi JM, Nazem-Zadeh MR, Soltanian-Zadeh H.   +5 more
europepmc   +1 more source

Developmental and epileptic or epileptic encephalopathy with spike–wave activation in sleep: From the ‘functional ablation’ model to a neurodevelopmental network perspective

Developmental Medicine &Child Neurology, EarlyView.
The pathophysiology of D/EE‐SWAS has traditionally been conceptualized as a cause–effect continuum wherein genetic and environmental factors influence brain morphology, subsequently inducing electrical abnormalities during sleep, resulting in cognitive impairment.
Luca Andreoli, Stefania Maria Bova, Pierangelo Veggiotti   +2 more
wiley   +1 more source

Uncovering abnormal gray and white matter connectivity patterns in Alzheimer's disease spectrum: a dynamic graph theory analysis for early detection. [PDF]

Front Aging Neurosci
Jiang J, Kang T, Ling R, Liu Y, Sun J, Li Y, Li X, Yang H, Huang B, Alzheimer’s Disease Neuroimaging Initiative.   +9 more
europepmc   +1 more source

Motor performance and higher associative cortical networks in adolescents with neonatal hypoxic‐ischaemic encephalopathy treated with therapeutic hypothermia

Developmental Medicine &Child Neurology, EarlyView.
Several functional connections between ROIs in the somatomotor (purple) and the default mode network (gray) were significantly associated with the MABC‐2 “aiming and catching” sub‐domain in the HIE cohort in comparison to controls. The colors of the connections represents the correlation coefficient with either negative (light blue to magenta) or ...
Gustaf Håkansson, Mimmi Eriksson Westblad, Maria Örtqvist, Ulrika Ådén, Mats Blennow, Peter Fransson   +5 more
wiley   +1 more source

A sensation driven functional MRI study on brain activation during bladder filling in healthy participants. [PDF]

Sci Rep
Santoso AD, Sunaert S, De Ridder D.
europepmc   +1 more source

Baseline CBV-normalized BOLD fMRI of visual stimulation in awake vs. anesthetized mice. [PDF]

J Cereb Blood Flow Metab
Choi SH, Im GH, Le TT, Lee CH, Kim SG.
europepmc   +1 more source

Cortical hemodynamics of electrographic status epilepticus in the critically ill

Epilepsia, Volume 66, Issue 3, Page 802-816, March 2025.
Abstract Objectives The pathophysiological mechanisms of status epilepticus (SE) underlying potential brain injury remain largely unclear. This study aims to employ functional near‐infrared spectroscopy (fNIRS) combined with video‐electroencephalography (vEEG) to monitor brain hemodynamics continuously and non‐invasively in critically ill adult ...
Ali Kassab, Dènahin H. Toffa, Manon Robert, Michaël Chassé, Frédéric Lesage, Ke Peng, Dang K. Nguyen   +6 more
wiley   +1 more source

Machine learning of whole-brain resting-state fMRI signatures for individualized grading of frontal gliomas. [PDF]

Cancer Imaging
Hu Y, Cao X, Chen H, Geng D, Lv K.
europepmc   +1 more source