Spiking neural networks and online learning: An overview and perspectives

JL Lobo, J Del Ser, A Bifet, N Kasabov - Neural Networks, 2020 - Elsevier
Applications that generate huge amounts of data in the form of fast streams are becoming
increasingly prevalent, being therefore necessary to learn in an online manner. These …

Artificial intelligence in brain MRI analysis of Alzheimer's disease over the past 12 years: A systematic review

TO Frizzell, M Glashutter, CC Liu, A Zeng, D Pan… - Ageing Research …, 2022 - Elsevier
Introduction Multiple structural brain changes in Alzheimer's disease (AD) and mild cognitive
impairment (MCI) have been revealed on magnetic resonance imaging (MRI). There is a fast …

Disparities in the pace of biological aging among midlife adults of the same chronological age have implications for future frailty risk and policy

ML Elliott, A Caspi, RM Houts, A Ambler, JM Broadbent… - Nature aging, 2021 - nature.com
Some humans age faster than others. Variation in biological aging can be measured in
midlife, but the implications of this variation are poorly understood. We tested associations …

Association of dilated perivascular spaces with cognitive decline and incident dementia

M Paradise, JD Crawford, BCP Lam, W Wen… - Neurology, 2021 - AAN Enterprises
Objective To determine whether severe perivascular space (PVS) dilation is associated with
longitudinal cognitive decline and incident dementia over 4 and 8 years, respectively, we …

Childhood self-control forecasts the pace of midlife aging and preparedness for old age

LS Richmond-Rakerd, A Caspi… - Proceedings of the …, 2021 - National Acad Sciences
The ability to control one's own emotions, thoughts, and behaviors in early life predicts a
range of positive outcomes in later life, including longevity. Does it also predict how well …

[HTML][HTML] Automatic segmentation of white matter hyperintensities from brain magnetic resonance images in the era of deep learning and big data–a systematic review

R Balakrishnan, MCV Hernández, AJ Farrall - … Medical Imaging and …, 2021 - Elsevier
Background White matter hyperintensities (WMH), of presumed vascular origin, are visible
and quantifiable neuroradiological markers of brain parenchymal change. These changes …

Sex differences in risk factors for white matter hyperintensities in non-demented older individuals

A Alqarni, J Jiang, JD Crawford, F Koch, H Brodaty… - Neurobiology of …, 2021 - Elsevier
White matter hyperintensities (WMH) are generally considered to be associated with
cerebral small vessel disease, especially, in older age. Although significant sex differences …

White matter hyperintensities are common in midlife and already associated with cognitive decline

T d'Arbeloff, ML Elliott, AR Knodt, TR Melzer… - Brain …, 2019 - academic.oup.com
White matter hyperintensities proliferate as the brain ages and are associated with
increased risk for cognitive decline as well as Alzheimer's disease and related dementias …

[HTML][HTML] White matter hyperintensities segmentation using the ensemble U-Net with multi-scale highlighting foregrounds

G Park, J Hong, BA Duffy, JM Lee, H Kim - Neuroimage, 2021 - Elsevier
White matter hyperintensities (WMHs) are abnormal signals within the white matter region
on the human brain MRI and have been associated with aging processes, cognitive decline …

[HTML][HTML] Heterogeneity of white matter hyperintensities in cognitively impaired patients with cerebral small vessel disease

T Wang, A Jin, Y Fu, Z Zhang, S Li, D Wang… - Frontiers in …, 2021 - frontiersin.org
Objective Similar white matter hyperintensities (WMH) might have different impact on the
cognitive outcomes in patients with cerebral small vessel disease (CSVD). This study is to …