Disentangling heterogeneity in Alzheimer's disease and related dementias using data-driven methods
Brain aging is a complex process that includes atrophy, vascular injury, and a variety of age-
associated neurodegenerative pathologies, together determining an individual's course of …
associated neurodegenerative pathologies, together determining an individual's course of …
Stem cells of the aging brain
AM Nicaise, CM Willis, SJ Crocker… - Frontiers in Aging …, 2020 - frontiersin.org
The adult central nervous system (CNS) contains resident stem cells within specific niches
that maintain a self-renewal and proliferative capacity to generate new neurons, astrocytes …
that maintain a self-renewal and proliferative capacity to generate new neurons, astrocytes …
[HTML][HTML] Commentary: Correction procedures in brain-age prediction
AMG de Lange, JH Cole - NeuroImage: Clinical, 2020 - ncbi.nlm.nih.gov
3. Conclusions Two main conclusions can be drawn based on the examples in this
commentary: I) The method proposed by Behesti et al. provides age-bias correction that is …
commentary: I) The method proposed by Behesti et al. provides age-bias correction that is …
Brain aging comprises many modes of structural and functional change with distinct genetic and biophysical associations
Brain imaging can be used to study how individuals' brains are aging, compared against
population norms. This can inform on aspects of brain health; for example, smoking and …
population norms. This can inform on aspects of brain health; for example, smoking and …
Longitudinal assessment of multiple sclerosis with the brain‐age paradigm
Objective During the natural course of multiple sclerosis (MS), the brain is exposed to aging
as well as disease effects. Brain aging can be modeled statistically; the so‐called “brain …
as well as disease effects. Brain aging can be modeled statistically; the so‐called “brain …
[HTML][HTML] Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study
Brain age is becoming a widely applied imaging-based biomarker of neural aging and
potential proxy for brain integrity and health. We estimated multimodal and modality-specific …
potential proxy for brain integrity and health. We estimated multimodal and modality-specific …
The maternal brain: Region‐specific patterns of brain aging are traceable decades after childbirth
Pregnancy involves maternal brain adaptations, but little is known about how parity
influences women's brain aging trajectories later in life. In this study, we replicated previous …
influences women's brain aging trajectories later in life. In this study, we replicated previous …
Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkers
Electrophysiological methods, that is M/EEG, provide unique views into brain health. Yet,
when building predictive models from brain data, it is often unclear how electrophysiology …
when building predictive models from brain data, it is often unclear how electrophysiology …
Accelerated MRI-predicted brain ageing and its associations with cardiometabolic and brain disorders
Brain structure in later life reflects both influences of intrinsic aging and those of lifestyle,
environment and disease. We developed a deep neural network model trained on brain MRI …
environment and disease. We developed a deep neural network model trained on brain MRI …
Estimating brain age based on a uniform healthy population with deep learning and structural magnetic resonance imaging
Numerous studies have established that estimated brain age constitutes a valuable
biomarker that is predictive of cognitive decline and various neurological diseases. In this …
biomarker that is predictive of cognitive decline and various neurological diseases. In this …