Zobrazeno 1 - 10
of 144
pro vyhledávání: '"Kongfatt Wong-Lin"'
Autor:
Niamh McCombe, Jake Bamrah, Jose M. Sanchez‐Bornot, David P. Finn, Paula L. McClean, KongFatt Wong‐Lin, Alzheimer's Disease Neuroimaging Initiative (ADNI)
Publikováno v:
Healthcare Technology Letters, Vol 9, Iss 6, Pp 102-109 (2022)
Abstract Biomarkers for Alzheimer's disease (AD) diagnosis do not always correlate reliably with cognitive symptoms, making clinical diagnosis inconsistent. In this study, the performance of a graphical neural network (GNN) classifier based on data
Externí odkaz:
https://doaj.org/article/d2adecc6ed4a41499ab50a32cb7c79ca
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-11 (2022)
Abstract Background Dementia is a group of symptoms that largely affects older people. The majority of patients face behavioural and psychological symptoms (BPSD) during the course of their illness. Alzheimer’s disease (AD) and vascular dementia (V
Externí odkaz:
https://doaj.org/article/f686719faeba439d86f60b6a08e63e90
Autor:
Niamh Mccombe, Xuemei Ding, Girijesh Prasad, Paddy Gillespie, David P. Finn, Stephen Todd, Paula L. Mcclean, Kongfatt Wong-Lin
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 10, Pp 1-9 (2022)
Objective: Despite the potential of machine learning techniques to improve dementia diagnostic processes, research outcomes are often not readily translated to or adopted in clinical practice. Importantly, the time taken to administer diagnostic asse
Externí odkaz:
https://doaj.org/article/cb7234639bf343c88575840a84bb0abd
Publikováno v:
Frontiers in Computational Neuroscience, Vol 16 (2023)
Degenerate neural circuits perform the same function despite being structurally different. However, it is unclear whether neural circuits with interacting neuromodulator sources can themselves degenerate while maintaining the same neuromodulatory fun
Externí odkaz:
https://doaj.org/article/3b552f5ca36c435c8a04adf1a30c2239
Autor:
Su Yang, Jose Miguel Sanchez Bornot, Ricardo Bruña Fernandez, Farzin Deravi, KongFatt Wong-Lin, Girijesh Prasad
Publikováno v:
Brain Informatics, Vol 8, Iss 1, Pp 1-11 (2021)
Abstract Magnetoencephalography (MEG) has been combined with machine learning techniques, to recognize the Alzheimer’s disease (AD), one of the most common forms of dementia. However, most of the previous studies are limited to binary classificatio
Externí odkaz:
https://doaj.org/article/029afbddb6464c41975f8232c3136b33
Autor:
KongFatt Wong-Lin, Paula L. McClean, Niamh McCombe, Daman Kaur, Jose M. Sanchez-Bornot, Paddy Gillespie, Stephen Todd, David P. Finn, Alok Joshi, Joseph Kane, Bernadette McGuinness
Publikováno v:
BMC Medicine, Vol 18, Iss 1, Pp 1-10 (2020)
Abstract Background Dementia is caused by a variety of neurodegenerative diseases and is associated with a decline in memory and other cognitive abilities, while inflicting an enormous socioeconomic burden. The complexity of dementia and its associat
Externí odkaz:
https://doaj.org/article/abb460529daa49cf90be570bd2b629c1
Publikováno v:
Frontiers in Cellular Neuroscience, Vol 15 (2021)
Neurotransmitter dynamics within neuronal synapses can be controlled by astrocytes and reflect key contributors to neuronal activity. In particular, Glutamate (Glu) released by activated neurons is predominantly removed from the synaptic space by per
Externí odkaz:
https://doaj.org/article/4fb6527beb544cf58821cd060b431938
Publikováno v:
Judgment and Decision Making, Vol 14, Pp 455-469 (2019)
Executing an important decision can be as easy as moving a mouse cursor or reaching towards the preferred option with a hand. But would we decide differently if choosing required walking a few steps towards an option? More generally, is our preferenc
Externí odkaz:
https://doaj.org/article/2d00e204c2cf4ad583528334adce9535
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-12 (2019)
We make decisions with varying degrees of confidence and, if our confidence in a decision falls, we may change our mind. Here, the authors present a neuronal circuit model to account for how change of mind occurs under particular low-confidence condi
Externí odkaz:
https://doaj.org/article/31cc6ca45f5a4ee38822d089b10782e3
Publikováno v:
Frontiers in Robotics and AI, Vol 7 (2020)
Multimodal integration is an important process in perceptual decision-making. In humans, this process has often been shown to be statistically optimal, or near optimal: sensory information is combined in a fashion that minimizes the average error in
Externí odkaz:
https://doaj.org/article/0757c696fcb74e24b3804fd429505c5a