Alzheimer disease: epidemiology, diagnostic criteria, risk factors and biomarkers

C Reitz, R Mayeux - Biochemical pharmacology, 2014 - Elsevier
The global prevalence of dementia is as high as 24 million, and has been predicted to
quadruple by the year 2050. In the US alone, Alzheimer disease (AD)–the most frequent …

Large-scale brain networks and psychopathology: a unifying triple network model

V Menon - Trends in cognitive sciences, 2011 - cell.com
The science of large-scale brain networks offers a powerful paradigm for investigating
cognitive and affective dysfunction in psychiatric and neurological disorders. This review …

Precuneus magnetic stimulation for Alzheimer's disease: a randomized, sham-controlled trial

G Koch, EP Casula, S Bonnì, I Borghi, M Assogna… - Brain, 2022 - academic.oup.com
Repetitive transcranial magnetic stimulation (rTMS) is emerging as a non-invasive
therapeutic strategy in the battle against Alzheimer's disease. Alzheimer's disease patients …

[HTML][HTML] Diagnosis of Alzheimer's disease via multi-modality 3D convolutional neural network

Y Huang, J Xu, Y Zhou, T Tong, X Zhuang… - Frontiers in …, 2019 - frontiersin.org
Alzheimer's disease (AD) is one of the most common neurodegenerative diseases. In the
last decade, studies on AD diagnosis has attached great significance to artificial intelligence …

Effective feature learning and fusion of multimodality data using stage‐wise deep neural network for dementia diagnosis

T Zhou, KH Thung, X Zhu, D Shen - Human brain mapping, 2019 - Wiley Online Library
In this article, the authors aim to maximally utilize multimodality neuroimaging and genetic
data for identifying Alzheimer's disease (AD) and its prodromal status, Mild Cognitive …

[HTML][HTML] Decoding wakefulness levels from typical fMRI resting-state data reveals reliable drifts between wakefulness and sleep

E Tagliazucchi, H Laufs - Neuron, 2014 - cell.com
The mining of huge databases of resting-state brain activity recordings represents state of
the art in the assessment of endogenous neuronal activity—and may be a promising tool in …

Exploring the brain network: a review on resting-state fMRI functional connectivity

MP Van Den Heuvel, HEH Pol - European neuropsychopharmacology, 2010 - Elsevier
Our brain is a network. It consists of spatially distributed, but functionally linked regions that
continuously share information with each other. Interestingly, recent advances in the …

Brain imaging in Alzheimer disease

KA Johnson, NC Fox… - Cold Spring …, 2012 - perspectivesinmedicine.cshlp.org
Imaging has played a variety of roles in the study of Alzheimer disease (AD) over the past
four decades. Initially, computed tomography (CT) and then magnetic resonance imaging …

Effects of resveratrol on memory performance, hippocampal functional connectivity, and glucose metabolism in healthy older adults

AV Witte, L Kerti, DS Margulies… - Journal of Neuroscience, 2014 - Soc Neuroscience
Dietary habits such as caloric restriction or nutrients that mimic these effects may exert
beneficial effects on brain aging. The plant-derived polyphenol resveratrol has been shown …

[HTML][HTML] Exposure to gamma tACS in Alzheimer's disease: A randomized, double-blind, sham-controlled, crossover, pilot study

A Benussi, V Cantoni, MS Cotelli, M Cotelli, C Brattini… - Brain Stimulation, 2021 - Elsevier
Objective To assess whether exposure to non-invasive brain stimulation with transcranial
alternating current stimulation at γ frequency (γ-tACS) applied over Pz (an area overlying the …