Results 41 to 50 of about 4,676,155 (281)

Navigated transcranial magnetic stimulation brain mapping: Achievements, opportunities, and prospects

open access: yesGlioma, 2020
Maximizing the extent of tumor removal and preserving maximal neurological function are always the fundamental objectives in brain tumor surgery.
Kai Zhang, Xuejun Yang
doaj   +1 more source

Independent component analysis: a reliable alternative to general linear model for task-based fMRI

open access: yesFrontiers in Psychiatry, 2023
BackgroundFunctional magnetic resonance imaging (fMRI) is a valuable tool for the presurgical evaluation of patients undergoing neurosurgeries. Although many pre-processing steps have been modified according to advances in recent years, statistical ...
Kostakis Gkiatis   +10 more
doaj   +1 more source

Bihemispheric Navigated Transcranial Magnetic Stimulation Mapping for Action Naming Compared to Object Naming in Sentence Context

open access: yesBrain Sciences, 2021
Preoperative language mapping with navigated transcranial magnetic stimulation (nTMS) is currently based on the disruption of performance during object naming.
Ann-Katrin Ohlerth   +6 more
doaj   +1 more source

Relationship between direct cortical stimulation and induced high-frequency activity for language mapping during SEEG recording.

open access: yesJournal of Neurosurgery, 2020
OBJECTIVE The authors assessed the clinical relevance of preoperative task-induced high-frequency activity (HFA) for language mapping in patients with refractory epilepsy during stereoelectroencephalography recording.
P. Cuisenier   +13 more
semanticscholar   +1 more source

“The Impact of E-Mind Mapping Technique on Preparatory Schools Pupils’ Learning English Language Grammar” [PDF]

open access: yesمجلة العلوم التربوية بکلية التربية، جامعة الغردقة, 2023
The present research aimed at investigating the impact of e-mind mapping technique on preparatory schools pupils’ learning English Language grammar. The research followed the quasi experimental design of two groups (control and experimental).
شيماء غريب احمد على عبيد
doaj   +1 more source

Improved Task-based Functional MRI Language Mapping in Patients with Brain Tumors through Marchenko-Pastur Principal Component Analysis Denoising.

open access: yesRadiology, 2020
Background Functional MRI improves preoperative planning in patients with brain tumors, but task-correlated signal intensity changes are only 2%-3% above baseline. This makes accurate functional mapping challenging.
B. Ades-aron   +6 more
semanticscholar   +1 more source

Sequential mappings of $\omega $-languages [PDF]

open access: yesRAIRO - Theoretical Informatics and Applications, 1987
Summary: The present paper investigates how partial word-functions monotonic with respect to the initial word relation can be extended to partial mappings on the space \(X^{\omega}\) of infinite sequences. It turns out that, to a certain extent, the infinite behaviour of these mappings can be described by the finite behaviour via two suitably defined ...
openaire   +1 more source

Mapping Brains with Language Models: A Survey [PDF]

open access: yesFindings of the Association for Computational Linguistics: ACL 2023, 2023
Over the years, many researchers have seemingly made the same observation: Brain and language model activations exhibit some structural similarities, enabling linear partial mappings between features extracted from neural recordings and computational language models. In an attempt to evaluate how much evidence has been accumulated for this observation,
Antonia Karamolegkou   +2 more
openaire   +3 more sources

Resective Surgery for Double Epileptic Foci Overlapping Anterior and Posterior Language Areas: A Case of Epilepsy With Tuberous Sclerosis Complex

open access: yesFrontiers in Neurology, 2018
Tuberous sclerosis complex is a genetic systematic disorder characterized by hamartomas in multiple organs. Cortical tubers, the hamartomas in the cerebrum, cause multifocal refractory seizures.
Tohru Okanishi   +5 more
doaj   +1 more source

FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs [PDF]

open access: yesSymposium on Field Programmable Gate Arrays
Transformer-based Large Language Models (LLMs) have made a significant impact on various domains. However, LLMs' efficiency suffers from both heavy computation and memory overheads. Compression techniques like sparsification and quantization are commonly
Shulin Zeng   +16 more
semanticscholar   +1 more source

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