Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Mayela Zamora"'
Autor:
John E. Fleming, Vaclav Kremen, Ro'ee Gilron, Nicholas M. Gregg, Mayela Zamora, Derk-Jan Dijk, Philip A. Starr, Gregory A. Worrell, Simon Little, Timothy J. Denison
Publikováno v:
iScience, Vol 25, Iss 4, Pp 104028- (2022)
Summary: Biological rhythms pervade physiology and pathophysiology across multiple timescales. Because of the limited sensing and algorithm capabilities of neuromodulation device technology to-date, insight into the influence of these rhythms on the
Externí odkaz:
https://doaj.org/article/40cab0a94ded44ba9fc62218809de27f
Autor:
Mayela Zamora, Sebastian Meller, Filip Kajin, James J. Sermon, Robert Toth, Moaad Benjaber, Derk-Jan Dijk, Rafal Bogacz, Gregory A. Worrell, Antonio Valentin, Benoit Duchet, Holger A. Volk, Timothy Denison
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Circadian and other physiological rhythms play a key role in both normal homeostasis and disease processes. Such is the case of circadian and infradian seizure patterns observed in epilepsy. However, these rhythms are not fully exploited in the desig
Externí odkaz:
https://doaj.org/article/01ceac76eff94354a975da09d35b3704
Autor:
Alceste Deli, Mayela Zamora, John E. Fleming, Amir Divanbeighi Zand, Moaad Benjaber, Alexander L. Green, Timothy Denison
Existing neurostimulation systems implanted for the treatment of neurodegenerative disorders generally deliver invariable therapy parameters, regardless of phase of the sleep/wake cycle. However, there is considerable evidence that brain activity in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::947fe0ae60712f3c1d5dd7de99f63305
https://doi.org/10.1101/2023.04.30.538861
https://doi.org/10.1101/2023.04.30.538861
Autor:
Alceste Deli, Robert Toth, Mayela Zamora, Amir P. Divanbeighi Zand, Alexander L. Green, Timothy Denison
Surgical neuromodulation through implantable devices allows for stimulation delivery to subcortical regions, crucial for symptom control in many debilitating neurological conditions. Novel closed-loop algorithms deliver therapy tailor-made to endogen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75c27e3afb9991a499b0c3cbd0b2c151
https://doi.org/10.1101/2023.02.02.526892
https://doi.org/10.1101/2023.02.02.526892
Autor:
Ali Kavoosi, Robert Toth, Moaad Benjaber, Mayela Zamora, Antonio Valentin, Andrew Sharott, Timothy Denison
This work explores the potential utility of neural network classifiers for real-time classification of field-potential based biomarkers in next-generation responsive neuromodulation systems. Compared to classical filter-based classifiers, neural netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37b59e2e80ec3da573064f3d21d6188b
https://ora.ox.ac.uk/objects/uuid:33a845ac-0763-4418-938d-13f48f7e9a16
https://ora.ox.ac.uk/objects/uuid:33a845ac-0763-4418-938d-13f48f7e9a16
Autor:
Mayela Zamora, Robert Toth, Francesca Morgante, Jon Ottaway, Tom Gillbe, Sean Martin, Guy Lamb, Tara Noone, Moaad Benjaber, Zachary Nairac, Devang Sehgal, Timothy G. Constandinou, Jeffrey Herron, Tipu Z. Aziz, Ivor Gillbe, Alexander L. Green, Erlick A.C. Pereira, Timothy Denison
Publikováno v:
Exp Neurol
There is growing interest in using adaptive neuro-modulation to provide a more personalized therapy experience that might improve patient outcomes. Current implant technology, however, can be limited in its adaptive algorithm capability. To enable ex
Publikováno v:
Sensor Review; 2003, Vol. 23 Issue 2, p143-149, 7p