Brain aging mechanisms with mechanical manifestations

Y Blinkouskaya, A Caçoilo, T Gollamudi… - Mechanisms of ageing …, 2021 - Elsevier
Brain aging is a complex process that affects everything from the subcellular to the organ
level, begins early in life, and accelerates with age. Morphologically, brain aging is primarily …

A cross-disorder connectome landscape of brain dysconnectivity

MP van den Heuvel, O Sporns - Nature reviews neuroscience, 2019 - nature.com
Many human brain disorders are associated with characteristic alterations in the structural
and functional connectivity of the brain. In this article, we explore how commonalities and …

Earliest accumulation of β-amyloid occurs within the default-mode network and concurrently affects brain connectivity

S Palmqvist, M Schöll, O Strandberg, N Mattsson… - Nature …, 2017 - nature.com
It is not known exactly where amyloid-β (Aβ) fibrils begin to accumulate in individuals with
Alzheimer's disease (AD). Recently, we showed that abnormal levels of Aβ42 in …

Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates

A Eklund, TE Nichols… - Proceedings of the …, 2016 - National Acad Sciences
The most widely used task functional magnetic resonance imaging (fMRI) analyses use
parametric statistical methods that depend on a variety of assumptions. In this work, we use …

A roadmap for foundational research on artificial intelligence in medical imaging: from the 2018 NIH/RSNA/ACR/The Academy Workshop

CP Langlotz, B Allen, BJ Erickson, J Kalpathy-Cramer… - Radiology, 2019 - pubs.rsna.org
Imaging research laboratories are rapidly creating machine learning systems that achieve
expert human performance using open-source methods and tools. These artificial …

[HTML][HTML] Psilocybin for treatment-resistant depression: fMRI-measured brain mechanisms

RL Carhart-Harris, L Roseman, M Bolstridge… - Scientific reports, 2017 - nature.com
Psilocybin with psychological support is showing promise as a treatment model in psychiatry
but its therapeutic mechanisms are poorly understood. Here, cerebral blood flow (CBF) and …

Prediction of Alzheimer's Disease Using DHO‐Based Pretrained CNN Model

S Venkatasubramanian, JN Dwivedi… - Mathematical …, 2023 - Wiley Online Library
Detecting Alzheimer's disease (AD) early on allows patients to take preventative measures
before the onset of irreversible brain damage, which is a critical factor in the treatment of …

KIKI‐net: cross‐domain convolutional neural networks for reconstructing undersampled magnetic resonance images

T Eo, Y Jun, T Kim, J Jang, HJ Lee… - Magnetic resonance in …, 2018 - Wiley Online Library
Purpose To demonstrate accurate MR image reconstruction from undersampled k‐space
data using cross‐domain convolutional neural networks (CNNs) Methods Cross‐domain …

Association of plasma neurofilament light with neurodegeneration in patients with Alzheimer disease

N Mattsson, U Andreasson, H Zetterberg… - JAMA …, 2017 - jamanetwork.com
Importance Existing cerebrospinal fluid (CSF) or imaging (tau positron emission
tomography) biomarkers for Alzheimer disease (AD) are invasive or expensive. Biomarkers …

Low‐field MRI: An MR physics perspective

JP Marques, FFJ Simonis… - Journal of magnetic …, 2019 - Wiley Online Library
Historically, clinical MRI started with main magnetic field strengths in the∼ 0.05–0.35 T
range. In the past 40 years there have been considerable developments in MRI hardware …