Results 81 to 90 of about 25,442 (250)

MR-tractography method: modern features of visualization and use in neurosurgical practice

Ukrainian Neurosurgical Journal, 2014
Introduction. Modern features of MR-tractography in neuroimaging and at neurosurgical intervention planning at different brain tumors are presented.The purpose. To study MR-tractography facilities for use in neurosurgical practice by assessing
Kristiana Robаk, Olga Chuvashova
doaj   +1 more source

Surgical Treatment of Tremor Syndromes: A Guide to the Clinician

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Tremor is a common feature of multiple neurological conditions, and while medications can be effective in mild cases, surgical interventions are often required in moderate–severe syndromes or when medication side‐effects are unacceptable.
James Peters, Joel Maamary, Yael Barnett, Andrea A. Kuhn, Benjamin Jonker, Stephen Tisch   +5 more
wiley   +1 more source

Preoperative tractography algorithm for safe resection of tumors located in the descending motor pathways zone [PDF]

, 2023
Edgar G. Ordóñez-Rubiano, Jason M. Johnson, Nadín J. Abdalá-Vargas, Óscar Zorro, Jorge H. Marín-Muñoz, Ricardo Álvarez-Tobián, Valeria Forlizzi, Carlos Castillo-Rangel, Sabino Luzzi, Álvaro Campero, Javier G. Patiño-Gómez, Matías Baldoncini   +11 more
openalex   +1 more source

Cerebrospinal Fluid Proenkephalin Predicts Striatal Atrophy Decades before Clinical Motor Diagnosis in Huntington's Disease

Movement Disorders, EarlyView.
Abstract Background Huntington's disease (HD) is characterized by early, selective, progressive vulnerability of striatal medium spiny neurons (MSNs). Proenkephalin (PENK), a precursor of opioid peptides abundantly expressed in MSNs, is a promising biomarker of striatal integrity, but region‐specific associations and its potential for early‐stage ...
Mena Farag, Michael J. Murphy, Nicola Z. Hobbs, Michela Leocadi, Kate Fayer, Olivia Thackeray, Johan Gobom, Marc Ciosi, Amanda Heslegrave, Henrik Zetterberg, Douglas R. Langbehn, Darren G. Monckton, Edward J. Wild, Sarah J. Tabrizi, Rachael I. Scahill   +14 more
wiley   +1 more source

Distinct Roles of Cerebellar Afferent and Efferent Fiber Tracts in Craniocervical Dystonia

Movement Disorders, EarlyView.
Abstract Background The cerebellum has been widely implicated in the pathogenesis of craniocervical dystonia (CCD). Subthalamic nucleus deep brain stimulation (STN‐DBS) has emerged as an effective therapy for CCD. However, the roles of cerebellar afferent and efferent pathways in CCD pathogenesis and STN‐DBS treatment remain poorly understood ...
Bin Liu, Wenjie Li, Yanyang Zhang, Tao Yu, Zaixu Cui, Xiaoyu Xu, Junpeng Xu, Xin Chen, Jingyu Feng, Zhiqi Mao, Jun Yang   +10 more
wiley   +1 more source

Addressing the path-length-dependency confound in white matter tract segmentation.

PLoS ONE, 2014
We derive the Iterative Confidence Enhancement of Tractography (ICE-T) framework to address the problem of path-length dependency (PLD), the streamline dispersivity confound inherent to probabilistic tractography methods.
Matthew G Liptrot, Karam Sidaros, Tim B Dyrby   +2 more
doaj   +1 more source

Multimodal Imaging Investigation of the Dentato‐Thalamo‐Cortical Pathway in Friedreich's Ataxia

Movement Disorders, EarlyView.
Abstract Background Friedreich's ataxia (FRDA) is a spinocerebellar neurodegenerative disorder. The dentato‐thalamo‐cortical (DTC) pathway, an important cerebellar output involved in motor control, plays a crucial role in the neural mechanisms underlying ataxia symptoms in FRDA.
Yinghua Jing, Imis Dogan, Ravi Dadsena, Jennifer Faber, Jörg B. Schulz, Kathrin Reetz, Sandro Romanzetti, on behalf of the FACROSS study group, Stella A. Lischewski, Kerstin Konrad, Miguel Pishnamaz, Maximillian Praster, Thomas Clavel, Vera Jankowski, Joachim Jankowski, Oliver Pabst, Katharina Marx‐Schütt, Nikolaus Marx, Julia Möllmann, Malte Jacobsen, Juergen Dukart, Simon Eickhoff, Ralf‐Dieter Hilgers   +22 more
wiley   +1 more source

Discordance of Dopaminergic Dysfunction and Subcortical Atrophy by α‐Synuclein Status in Sporadic and Genetic Parkinson's Disease

Movement Disorders, EarlyView.
Abstract Background Parkinson's disease (PD) is characterized by predominantly neuronal α‐synuclein pathology and dopaminergic dysfunction. Cerebrospinal fluid (CSF) seeding amplification assays (SAA) detect α‐synuclein aggregates in vivo, but not all patients with PD have a positive SAA.
Michael Tran Duong, Sandhitsu R. Das, Pulkit Khandelwal, Joaquin A. Vizcarra, Yue Li, Long Xie, Paul A. Yushkevich, Leslie M. Shaw, Jacob G. Dubroff, Parkinson's Progression Markers Initiative, Kenneth Marek, Shirley Lasch, Caroline Tanner, Tanya Simuni, Christopher Coffey, Karl Kieburtz, Renee Wilson, Brit Mollenhauer, Site Investigator, Douglas Galasko, Site Investigator, Tatiana Foroud, Lana Chahine, Andrew Siderowf, John Seibyl, Arthur Toga, Andrew Singleton, Daniel Weintraub, John Trojanowski, Leslie Shaw, Duygu Tosun‐Turgut, Kathleen Poston, Susan Bressman, Kalpana M. Merchant, Werner Poewe, Todd Sherer, Sohini Chowdhury, Mark Frasier, Catherine Kopil, Anna Naito, Vanessa Arnedo, Ray Dorsey, Cynthia Casaceli, Imaging Core, Nichole Daegele, Justin Albani1 Statistics Core, Chelsea Caspell‐Garcia, Liz Uribe, Eric Foster, Jeff Long, Nick Seedorff, Karen Crawford, Danielle Elise Smith, Paola Casalin, Giulia Malferrari, Cheryl Halter, David Russell, Stewart Factor, Penelope Hogarth, David Standaert, Amy Amara, Robert Hauser, Joseph Jankovic, Matthew Stern, Shu‐Ching Hu, Gretchen Todd, Rachel Saunders‐Pullman, Irene Richard, Marie H Saint‐Hilaire, Klaus Seppi, Holly Shill, Hubert Fernandez, Claudia Trenkwalder, Wolfgang Oertel, Daniela Berg, Kathrin Brockman, Isabel Wurster, Liana Rosenthal, Yen Tai, Nicola Pavese, Paolo Barone, Stuart Isaacson, Alberto Espay, Dominic Rowe, Melanie Brandabur, James Tetrud, Grace Liang, Alex Iranzo, Eduardo Tolosa, Karen Marder, Maria de Arriba Sanchez, Leonidis Stefanis, Maria Jose Marti, Javier Ruiz Martinez, Jean‐Christophe Corvol, Jan O Assly, Salima Brillman, Nir Giladi, Debra Smejdir, Julia Pelaggi, Farah Kausar, Linda Rees, Barbara Sommerfield, Madeline Cresswell, Courtney Blair, Karen Williams, Grace Zimmerman, Stephanie Guthrie, Ashlee Rawlins, Leigh Donharl, Christine Hunter, Baochan Tran, Abigail Darin, Carly Linder, Marne Baca, Heli Venkov, Cathi‐Ann Thomas, Raymond James, Beatrice Heim, Paul Deritis, Fabienne Sprenger, Deborah Raymond, Diana Willeke, Zoran Obradov, Jennifer Mule, Nancy Monahan, Katharina Gauss, Deborah Fontaine, Daniel Szpak, Arita McCoy, Becky Dunlop, Laura Marie Payne, Susan Ainscough, Lisbeth Carvajal, Rebecca Silverstein, Kristy Espay, Madelaine Ranola, Elisabet Mondragon Rezola, Helen Mejia Santana, Maria Stamelou, Alicia Garrido, Stephanie Carvalho, Anne Grete Kristiansen, Krista Specketer, Anat Mirlman, Maurizio Facheris, Holly Soares, Mark A. Mintun, Jesse Cedarbaum, Peggy Taylor, Danna Jennings, Lawrence Slieker, Brian McBride, Colin Watson, Etienne Montagut, Zulfiqar Haider Sheikh, Baris Bingol, Remi Forrat, Pablo Sardi, Tanya Fischer, Alastair D. Reith, Jan Egebjerg, Lone Frydelund Larsen, Nathalie Breysse, Didier Meulien, Barbara Saba, Vera Kiyasova, Chris Min, Thomas McAvoy, Robert Umek, Philip Iredale, Jeremy Edgerton, Susan De Santi, Christian Czech, Frank Boess, Jeffrey Sevigny, Thomas Kremer, Igor Grachev, Kaplana Merchant, Andreja Avbersek, Pierandrea Muglia, Alexandra Stewart, Rene Prashad, Johannes Taucher, Andrew Siderowf, David A. Wolk, Ilya M. Nasrallah   +186 more
wiley   +1 more source

Spatial Image Gradient Estimation From the Diffusion MRI Profile

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose In the course of diffusion, water molecules encounter varying values for the relaxation‐time properties of the underlying tissue. This factor, which has rarely been accounted for in diffusion MRI (dMRI), is modeled in this work, allowing for the estimation of the gradient of relaxation‐time properties from the dMRI signal. Methods With
Iman Aganj, Thorsten Feiweier, John E. Kirsch, Bruce R. Fischl, Andre J. van der Kouwe   +4 more
wiley   +1 more source

Multimodal machine learning for surgical decision support in epilepsy: Current evidence and translational gaps

Epilepsia, EarlyView.
Abstract Objective This systematic review synthesizes evidence on multimodal machine learning (ML) decision support systems for epilepsy surgery focusing on postsurgical outcome prediction, with emphasis on methodological quality and implications for clinical practice.
Mattia Mercier, Luca de Palma, Nicola Specchio   +2 more
wiley   +1 more source