Results 71 to 80 of about 48,794 (279)

Structural Eigenmodes of the Brain to Improve the Source Localization of EEG: Application to Epileptiform Activity

Advanced Science, EarlyView.
Geometry and connectivity are complementary structures, which have demonstrated their ability to represent the brain's functional activity. This study evaluates geometric and connectome eigenmodes as biologically informed constraints for EEG source localization.
Pok Him Siu, Philippa J. Karoly, Sina Mansour L., Artemio Soto‐Breceda, Levin Kuhlmann, Mark J. Cook, David B. Grayden   +6 more
wiley   +1 more source

Distinct patterns of temporal and directional connectivity among intrinsic networks in the human brain [PDF]

, 2017
To determine the spatiotemporal relationships among intrinsic networks of the human brain, we recruited seven neurosurgical patients (four males and three females) who were implanted with intracranial depth electrodes.
Bickel, Stephan, Foster, Brett L, Hsiang, Jen Chun, Hsieh, Liang-Tien, Kucyi, Aaron, Liu, Hesheng, Parvizi, Josef, Poldrack, Russell A, Shine, James M, Wang, Danhong   +9 more
core   +2 more sources

Autoimmune Encephalitis in Acute Care—Pathology, Diagnosis, and Management

Advanced Science, EarlyView.
ABSTRACT Autoimmune encephalitis (AE) is characterized by immune‐mediated inflammation of the brain parenchyma, presenting with various neurological syndromes, including but not limited to seizures, altered consciousness, neuropsychiatric symptoms, and movement disorders.
Suneesh Thilak, David Okoh, William Scotton, Shanika Samarasekera, Vikram Patil, Suresh Renukappa, Andrew Macduff, Subashini Suresh, Rajeev Krishnadas, Tonny Veenith   +9 more
wiley   +1 more source

Noninvasive and reliable automated detection of spreading depolarization in severe traumatic brain injury using scalp EEG

Communications Medicine, 2023
Background Spreading depolarizations (SDs) are a biomarker and a potentially treatable mechanism of worsening brain injury after traumatic brain injury (TBI).
Alireza Chamanzar, Jonathan Elmer, Lori Shutter, Jed Hartings, Pulkit Grover   +4 more
doaj   +1 more source

Periictal SPECT Localization Verified by Simultaneous Intracranial EEG [PDF]

Epilepsia, 1999
Summary: Purpose: We investigated whether blood‐flow changes measured by ictal or immediate postictal single photon emission computed tomography (SPECT) reflect with accuracy the actual location of ictal discharge as measured by simultaneous intracranial EEG.
M V, Spanaki, I G, Zubal, J, MacMullan, S S, Spencer   +3 more
openaire   +2 more sources

Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface

Advanced Science, EarlyView.
Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley   +1 more source

Deep learning models using intracranial and scalp EEG for predicting sedation level during emergence from anaesthesia

BJA Open
Background: Maintaining an appropriate depth of anaesthesia is important for avoiding adverse effects from undermedication or overmedication during surgery. Electroencephalography (EEG) has become increasingly used to achieve this balance.
Lichy Han, David A. Purger, Sarah L. Eagleman, Casey H. Halpern, Vivek Buch, Samantha M. Gaston, Babak Razavi, Kimford Meador, David R. Drover   +8 more
doaj   +1 more source

Deep Convolutional Neural Network Based Interictal-Preictal Electroencephalography Prediction: Application to Focal Cortical Dysplasia Type-II

Frontiers in Neurology, 2020
We aimed to differentiate between the interictal and preictal states in epilepsy patients with focal cortical dysplasia (FCD) type-II using deep learning-based classifiers based on intracranial electroencephalography (EEG).
Yoon Gi Chung, Yonghoon Jeon, Sun Ah Choi, Anna Cho, Hunmin Kim, Hee Hwang, Ki Joong Kim   +6 more
doaj   +1 more source

Functional Segregation of Epileptogenicity within the Human Amygdala

Annals of Neurology, EarlyView.
Objective In temporal lobe epilepsy (TLE), the amygdala in the epileptogenic network is underestimated compared to other regions such as the hippocampus. Recent advances in anatomical neuroimaging and stereoelectroencephalography (SEEG) signal analyses could help better understand the involvement of the different amygdala nuclei in the genesis of ...
Odile Feys, Julia Makhalova, Samuel Medina Villalon, Maria Fratello, Hugo Dary, Stanislas Lagarde, Francesca Pizzo, Agnès Trébuchon, Maxime Guye, Jean‐Philippe Ranjeva, Romain Carron, Didier Scavarda, Christian‐George Bénar, Bernard Giusiano, Fabrice Bartolomei   +14 more
wiley   +1 more source

Virtual intracranial EEG signals reconstructed from MEG with potential for epilepsy surgery

Nature Communications, 2022
Dynamic network models offer insight into brain networks affected by epileptic seizures. Here the authors derive ViEEG (virtual intracranial EEG) from non-invasive MEG recordings that show brain areas involved in seizure generation in patients with ...
Miao Cao, Daniel Galvis, Simon J. Vogrin, William P. Woods, Sara Vogrin, Fan Wang, Wessel Woldman, John R. Terry, Andre Peterson, Chris Plummer, Mark J. Cook   +10 more
doaj   +1 more source