Neuroimaging of stroke recovery from aphasia–Insights into plasticity of the human language network

G Hartwigsen, D Saur - Neuroimage, 2019 - Elsevier
The role of left and right hemisphere brain regions in language recovery after stroke-induced
aphasia remains controversial. Here, we summarize how neuroimaging studies increase the …

Neuroplasticity in post-stroke aphasia: A systematic review and meta-analysis of functional imaging studies of reorganization of language processing

SM Wilson, SM Schneck - Neurobiology of Language, 2020 - direct.mit.edu
Recovery from aphasia is thought to depend on neural plasticity, that is, the functional
reorganization of surviving brain regions such that they take on new or expanded roles in …

Interpretable sparsification of brain graphs: Better practices and effective designs for graph neural networks

G Li, M Duda, X Zhang, D Koutra, Y Yan - Proceedings of the 29th ACM …, 2023 - dl.acm.org
Brain graphs, which model the structural and functional relationships between brain regions,
are crucial in neuroscientific and clinical applications that can be formulated as graph …

A SENtence Supramodal Areas AtlaS (SENSAAS) based on multiple task-induced activation mapping and graph analysis of intrinsic connectivity in 144 healthy right …

L Labache, M Joliot, J Saracco, G Jobard… - Brain Structure and …, 2019 - Springer
We herein propose an atlas of 32 sentence-related areas based on a 3-step method
combining the analysis of activation and asymmetry during multiple language tasks with …

Mapping language with resting‐state functional magnetic resonance imaging: A study on the functional profile of the language network

P Branco, D Seixas, SL Castro - Human Brain Mapping, 2020 - Wiley Online Library
Resting‐state functional magnetic resonance imaging (rsfMRI) is a promising technique for
language mapping that does not require task‐execution. This can be an advantage when …

The genetic architecture of language functional connectivity

Y Mekki, V Guillemot, H Lemaître, A Carrión-Castillo… - Neuroimage, 2022 - Elsevier
Abstract Language is a unique trait of the human species, of which the genetic architecture
remains largely unknown. Through language disorders studies, many candidate genes were …

Functional remodeling associated with language recovery after repetitive transcranial magnetic stimulation in chronic aphasic stroke

BF Lin, SC Yeh, YCJ Kao, CF Lu, PY Tsai - Frontiers in Neurology, 2022 - frontiersin.org
Background Repetitive transcranial magnetic stimulation (rTMS) has shown promising
efficacy in improving the language functions in poststroke aphasia. However, randomized …

Altered directional functional connectivity underlies post-stroke cognitive recovery

B Soleimani, I Dallasta, P Das… - Brain …, 2023 - academic.oup.com
Cortical ischaemic strokes result in cognitive deficits depending on the area of the affected
brain. However, we have demonstrated that difficulties with attention and processing speed …

Resting-state connectivity in acute and subacute poststroke aphasia: a functional near-infrared spectroscopy pilot study

EL Meier, LD Bunker, H Kim, AE Hillis - Brain connectivity, 2023 - liebertpub.com
Background: Understanding how brain function and language skills change during early
(acute and subacute) stroke phases is critical for maximizing patient recovery, yet functional …

A state-of-the-art review on deep learning for estimating eloquent cortex from resting-state fMRI

DA Di Giovanni, DL Collins - Neurosurgical Review, 2023 - Springer
Deep learning algorithms have greatly improved our ability to estimate eloquent cortex
regions from resting-state brain scans for patients about to undergo neurosurgery. The use …