Obtaining clearer functional MRI data about the brain and its disorders is possible using artificial intelligence, according to Boston College researchers who report in Nature Methods that they have ...

Upper panel displays functional MRI (fMRI) maps obtained from the functional connectivity multivariate patterns analysis conducted on dataset 1 and dataset 2. In particular, the average connectivity ...

Low-resolution images (LR) are input, and feature maps are obtained through 3×3 convolution. After passing through a residual in residual (RIR) module, followed by upsampling and a 3×3 convolution ...

What is the best way to overcome artifacts in patients wearing metallic orthodontic devices? The authors of a new study published November 12 in Radiology recommend slight modifications in functional ...

The pathophysiological process of Alzheimer's disease (AD) begins years, even decades, prior to the time a clinical diagnosis can be established. This long asymptomatic or minimally symptomatic phase ...

We have various ways of seeing what the brain is up to, from low-resolution electrodes that track waves of activity that ripple across the brain, to implanted electrodes that can follow the activity ...

For almost three decades, functional magnetic resonance imaging (fMRI) has been one of the main tools in brain research. Yet a new study published in Nature Neuroscience fundamentally challenges the ...

A new study shows how neurochemicals can influence blood vessels. The findings may change how researchers interpret results from functional magnetic resonance imaging studies. The brain is an ...

A new AI-based technique helps researchers remove distortions from fMRI scans, revealing clearer signals of brain activity.

An international team, led by researchers at the Champalimaud Foundation (CF), has shown – for the first time in a realistic way – that it may be possible to diagnose Parkinson's disease (PD) years ...