Results 201 to 210 of about 33,305 (301)

AI‐Driven Mapping of Seizure Spread Patterns

Annals of Neurology, EarlyView.
Objective The focus of epilepsy research has largely been on seizure onset; however, physicians typically examine the patterns of seizure spread past seizure onset as well. This study aims to align automated seizure analysis with clinical practice, leverage deep learning to standardize seizure annotations that varies among physicians, and understand ...
Andrew Y. Revell, Marc Jaskir, Akash R. Pattnaik, William K. S. Ojemann, Erin Conrad, Nishant Sinha, Brittany H. Scheid, Alfredo Lucas, John M. Bernabei, John Beckerle, Joel M. Stein, Sandhitsu R. Das, Brian Litt, Kathryn A. Davis   +13 more
wiley   +1 more source

Sleep increases firing rate modulation during interictal epileptiform discharges in mesial temporal structures. [PDF]

Brain Commun
Whitmarsh S, Nguyen-Michel VH, Lehongre K, Mathon B, Adam C, Lambrecq V, Frazzini V, Navarro V.   +7 more
europepmc   +1 more source

Multimodal Image Guidance in Subthalamic Deep Brain Stimulation for Parkinson's Disease

Annals of Neurology, EarlyView.
Objective Accurate electrode placement and individual stimulation parameters influence the outcomes of subthalamic deep brain stimulation in Parkinson's disease. Neuroimaging‐based models can help evaluate how electrode placement impacts improvement, aiming to reduce the burden of programming.
Patricia Zvarova, Christina van der Linden, Ningfei Li, Konstantin Butenko, Thea Berger, Garance M. Meyer, Ilkem Aysu Sahin, Lukas L. Goede, Bahne H. Bahners, Barbara Hollunder, Till A. Dembek, Andrew R. Pines, Martin Reich, Jens Volkmann, Vincent J. J. Odekerken, Rob M. A. de Bie, Xin Xu, Zhipei Ling, Chen Yao, Andrea A. Kühn, Surjo R. Soekadar, Kerstin Ritter, Michael T. Barbe, Veerle Visser‐Vandewalle, Michael D. Fox, Jan Niklas Petry‐Schmelzer, Nanditha Rajamani, Andreas Horn   +27 more
wiley   +1 more source

The Dynamics of Neurofilament Light Chain in Spinal Muscular Atrophy

Annals of Neurology, EarlyView.
Objective Newborn screening (NBS) for spinal muscular atrophy (SMA) facilitates early diagnosis and treatment for affected individuals. However, fluid biomarkers that provide early insights into disease activity and outcomes in a neonatal cohort and those unable to access (due to reimbursement criteria) or deferring immediate treatment are lacking ...
Arlene D'Silva, Karen Herbert, Lakshmi Balaji, Jia Mei He, Tejaswi Kandula, Hugo A. Sampaio, Hooi‐Ling Teoh, Esther Tantsis, Jihee Sohn, Nancy Briggs, Nickson Ning, Matthew C. Kiernan, Didu S. Kariyawasam, Michelle A. Farrar   +13 more
wiley   +1 more source

Addressing Barriers to Transitioning Pediatric Patients With Epilepsy to Adult Health Care in the United States: A Narrative Review. [PDF]

Neurol Clin Pract
Perry MS, Nascimento FA, Pina-Garza JE, Chez MG, Ferreira JA, Rabinowicz AL, Carrazana E.   +6 more
europepmc   +1 more source

Relapses, Comorbidities, and Predictors of Outcome in Anti‐GABAA Receptor Encephalitis

Annals of Neurology, EarlyView.
Objectives To characterize the magnetic resonance imaging (MRI) lesion dynamics, comorbidities, predictors of relapse, and outcomes in anti‐γ‐aminobutyric acid type A receptor (GABAAR) encephalitis, and assess the utility of LIM‐domain‐only‐protein 5 (LMO5) antibodies as tumor markers.
Claudia Papi, Chiara Milano, Laura Marmolejo, Ana Beatriz Serafim, Esther Aguilar, Mar Guasp, Elianet Fonseca, Mateus Mistieri Simabukuro, Raffaele Iorio, Yuki Fukami, Maria Lucia Schmitz Ferreira Santos, Takashi Miwa, Takashi Araga, Yuto Uchida, Masanori Kurihara, Satoshi Okada, Luz Victoria Garcia, Kenichi Kaida, Natalia Spinola Costa da Cunha, Alberto Vogrig, Florian Lamblin, Juna M. de Vries, Livia Almeida Dutra, Romana Höftberger, Maarten J. Titulaer, Jesús Planagumà, Lidia Sabater, Eugenia Martinez‐Hernandez, Thais Armangué, Francesc Graus, Takahiro Iizuka, Josep Dalmau, Marianna Spatola, Anti‐GABAAR encephalitis study group   +33 more
wiley   +1 more source

Epilepsy disease classification: a community effort to enhance the Mondo Disease Ontology. [PDF]

Database (Oxford)
Vasilevsky N, Gehrke S, Mullen K, Barua S, Braun I, Brünger T, Coughlin C, Ivaniuk A, Korn D, Lal D, Marsh S, O'Loughlin E, Olson D, Shwetar Y, Sofocleous C, Vogel-Farley V, Grabenstatter H, Haendel M, Mungall C, Toro S.   +19 more
europepmc   +1 more source

Longitudinal Phenotypic Trajectories in GNAO1‐Related Disorders: Defining Disease Progression and Clinical Profiles

Annals of Neurology, EarlyView.
Objective Pathogenic variants in GNAO1 cause a spectrum of epilepsy, movement disorders, and developmental impairment. Clinical heterogeneity complicates prognosis and therapeutic development. We present the first longitudinal natural history study of GNAO1‐related disorders (GNAO1‐RD) to delineate phenotypic trajectories. Methods Sixty‐six individuals
Jana Domínguez‐Carral, Ana María Domínguez Cobo, Sol Balsells, Anna Aguilar‐Ros, Chu‐Ting Chang, William G. Ludlam, Kathryn Yang, Katerina Bernardi, Micaela Chinigioli, Ainara Salazar‐Villacorta, Veronica Di Pisa, Nuria Lamagrande‐Casanova, Elena González‐Alguacil, Beatriz De la Casa‐Fages, Akihisa Okumura, Josefina Rodríguez, Ayush Agarwal, Daniela Muñoz‐Chesta, Carolina Reynoso‐Osnayo, Amy Lin, Brahim Tabarki, Jobaida Parvin, Adolfo Alberto Gallo, Andreia Forno, Fabian Maass, Johnny Montiel Blanco, Salomé Nasif, Elizabeth Jennions, Jorge Luis Ramón‐Gómez, Helene Verhelst, Juan José Nieto Barceló, Dunja Čokolić Petrović, Luz Victoria García Ruiz, Christoph van Riesen, Paulo Rego Sousa, Maria del Pilar Massaro Sanchez, Husnea Ara Khan, Wejdan Hakami, Jennifer Friedman, Iván Espinoza‐Quinteros, Monica Troncoso, Divyani Garg, Micaela Pauni, Hirokazu Kurahashi, María Concepción Miranda‐Herrero, Anna Duat‐Rodriguez, Luca Soliani, Manju A. Kurian, Angeles Schteinschnaider, Siddharth Srivastava, Darius Ebrahimi‐Fakhari, Kirill A. Martemyanov, Juan Darío Ortigoza‐Escobar   +52 more
wiley   +1 more source

Thalamic Neuromodulation: New Frontiers. [PDF]

Epilepsy Curr
Hsu J, Ali R, Air E, Englot D, Muh CR, Richardson RM, Rammo R.   +6 more
europepmc   +1 more source

Use of Machine Learning to Identify Markers of Risk for Fragile X‐Associated Tremor/Ataxia Syndrome: A Preliminary Analysis

Annals of Neurology, EarlyView.
Objective The objective of this study was to examine whether machine learning has the capacity to prospectively identify and predict the emergence of Fragile X‐associated tremor/ataxia syndrome (FXTAS) among male fragile X premutation carriers (PCs). Methods We explored neuropsychological and motor evaluation metrics, brain magnetic resonance imaging ...
Chitrabhanu Gupta, Angeela Poudel, Jun Yi Wang, Randi Hagerman, Glenda Espinal, Jessica Famula, Andrea Schneider, Flora Tassone, Susan M. Rivera, Chen‐Nee Chuah, David Hessl   +10 more
wiley   +1 more source