Alzheimer's disease (AD) is currently diagnosed using a mixture of psychological tests and
clinical observations. However, these diagnoses are not perfect, and additional diagnostic …

In recent years, deep convolutional neural networks (CNNs) have shown record-shattering
performance in a variety of computer vision problems, such as visual object recognition …

Brain changes have been reported in the first weeks after SARS-CoV-2 infection. However,
limited literature exists about brain alterations in post-COVID syndrome, a condition …

Abstract Blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging of
the human brain requires bulky equipment for the generation of magnetic fields …

The brain systems underlying placebo analgesia are insufficiently understood. Here we
performed a systematic, participant-level meta-analysis of experimental functional …

Computer Aided Diagnosis (CAD) constitutes an important tool for the early diagnosis of
Alzheimer's Disease (AD), which, in turn, allows the application of treatments that can be …

Cells in the precentral gyrus directly send signals to the periphery to generate movement
and are principally organized as a topological map of the body. We find that movement …

Abstract In 2011, the “ADHD-200 Global Competition” was held with the aim of identifying
biomarkers of attention-deficit/hyperactivity disorder from resting-state functional magnetic …

Pain is a complex sensory and emotional experience that is heavily influenced by prior
experience and expectations of pain. Before the development of noninvasive human brain …

Dynamic functional connectivity (dFC) analysis using resting-state functional Magnetic
Resonance Imaging (rs-fMRI) is currently an advanced technique for capturing the dynamic …