Zobrazeno 1 - 10
of 37
pro vyhledávání: '"James P. Fitzgerald"'
Bayesian nonparametric hierarchical priors are highly effective in providing flexible models for latent data structures exhibiting sharing of information within and across groups. In this work, we focus on latent feature allocation models, where the
Externí odkaz:
http://arxiv.org/abs/2304.05244
Autor:
Chien-Hung Yeh, Yifan Xu, Wenbin Shi, James J. Fitzgerald, Alexander L. Green, Petra Fischer, Huiling Tan, Ashwini Oswal
Publikováno v:
Brain Stimulation, Vol 17, Iss 3, Pp 501-509 (2024)
Background: Gait impairment has a major impact on quality of life in patients with Parkinson's disease (PD). It is believed that basal ganglia oscillatory activity at β frequencies (15–30 Hz) may contribute to gait impairment, but the precise dyna
Externí odkaz:
https://doaj.org/article/e955a831cd284eaca3c4937d849a3b18
Autor:
Charalampos Sotirakis, Zi Su, Maksymilian A. Brzezicki, Niall Conway, Lionel Tarassenko, James J. FitzGerald, Chrystalina A. Antoniades
Publikováno v:
npj Parkinson's Disease, Vol 9, Iss 1, Pp 1-8 (2023)
Abstract Wearable devices offer the potential to track motor symptoms in neurological disorders. Kinematic data used together with machine learning algorithms can accurately identify people living with movement disorders and the severity of their mot
Externí odkaz:
https://doaj.org/article/85ff81fd04f04dbbad41d197d218b38b
Autor:
Maksymilian A. Brzezicki, Niall Conway, Charalampos Sotirakis, James J. FitzGerald, Chrystalina A. Antoniades
Publikováno v:
Heliyon, Vol 9, Iss 6, Pp e16415- (2023)
Patients not yet receiving medication provide insight to drug-naïve early physiology of Parkinson's Disease (PD). Wearable sensors can measure changes in motor features before and after introduction of antiparkinsonian medication. We aimed to identi
Externí odkaz:
https://doaj.org/article/317e68fb2cce48e0b4d5bdb4c50dbb0f
Publikováno v:
Brain Stimulation, Vol 16, Iss 5, Pp 1276-1277 (2023)
Externí odkaz:
https://doaj.org/article/494aa5aeb8454c98a31576b6917df922
Autor:
Tariq Parker, Ashley Raghu, Yongzhi Huang, Martin J. Gillies, James J. FitzGerald, Tipu Aziz, Alexander L. Green
Publikováno v:
Brain Stimulation, Vol 14, Iss 6, Pp 1576-1585 (2021)
Background: Dorsal root ganglion (DRG) stimulation, an invasive method of neuromodulation, and transcranial direct current stimulation (tDCS), a non-invasive method of altering cortical excitability, have both proven effective in relieving chronic pa
Externí odkaz:
https://doaj.org/article/391ed23dd76a42f0a9cf87002bcac6a7
Autor:
Conor Keogh, James J. FitzGerald
Publikováno v:
iScience, Vol 25, Iss 11, Pp 105428- (2022)
Summary: The human hand is a unique and highly complex effector. The ability to describe hand kinematics with a small number of features suggests that complex hand movements are composed of combinations of simpler movements. This would greatly simpli
Externí odkaz:
https://doaj.org/article/2b9562f7874949039e91a780ce866453
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Cognitive deficits are common in Parkinson’s disease (PD) and range from mild cognitive impairment to dementia, often dramatically reducing quality of life. Physiological models have shown that attention and memory are predicated on the brain’s a
Externí odkaz:
https://doaj.org/article/9ffea43a84194b3b8affddd91fe0aa20
Publikováno v:
Frontiers in Digital Health, Vol 4 (2022)
Parkinson's disease (PD) affects several domains of neurological function, from lower-level motor programs to higher cognitive processing. As certain types of eye movements (saccades) are fast, non-fatiguing, and can be measured objectively and non-i
Externí odkaz:
https://doaj.org/article/bd0c9efdcb024554a5c44ac882a54663
Publikováno v:
MedEdPORTAL, Vol 18 (2022)
Introduction Residents have the important task of updating family members of hospitalized patients, often by telephone. There are limited curricula dedicated to preparing medical students for this task, which will become their responsibility as resid
Externí odkaz:
https://doaj.org/article/d299514450fb46968241b84b646cce49