The long-term negative impact of childhood stroke on language
M Heimgärtner, A Gschaidmeier, L Schnaufer… - Frontiers in …, 2024 - frontiersin.org
Objectives This study aims to investigate the long-term language outcome in children with
unilateral childhood stroke in comparison to those with perinatal strokes and typically …
unilateral childhood stroke in comparison to those with perinatal strokes and typically …
Long-term Functional Connectivity Alterations in the Mismatch Negativity, P300 and N400 Language Potentials in Adults with a Childhood Acquired Brain Injury
Y Criel, E Depuydt, B De Clercq, N Raman… - Aphasiology, 2024 - Taylor & Francis
Objective To investigate whether alterations in the functional connectivity of networks
underlying phoneme perception and semantic-categorical processing persist in adulthood …
underlying phoneme perception and semantic-categorical processing persist in adulthood …
Music therapy for young children with acquired communication impairments: An international survey of clinical practices
J Burns, R O'Connor, H Moss - Nordic Journal of Music Therapy, 2024 - Taylor & Francis
ABSTRACT Introduction Acquired communication impairments (ACIs) can significantly
hinder the development and functioning of language and communication in children …
hinder the development and functioning of language and communication in children …
Machine learning for Developing neurorehabilitation-aided assistive devices
The goal of neurorehabilitation, a sophisticated medical procedure, is to facilitate the
recovery from a nervous system damage and to compensate for any functional alterations …
recovery from a nervous system damage and to compensate for any functional alterations …
Deep learning and machine learning methods for patients with language and speech disorders
B Öznacar, DK Alas - … Intelligence and Deep Learning Methods for Neuro …, 2024 - Elsevier
Artificial intelligence is a research method that aims to mimic human behavior in machines.
Deep learning, which has replaced classical artificial neural networks in recent years, is a …
Deep learning, which has replaced classical artificial neural networks in recent years, is a …