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 ...

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 ...

Neuroscientists are using artificial intelligence (AI) machine learning to identify potential predictive biomarkers by finding patterns in the noisy, complex data of brain images. Can AI algorithms ...

Neuroimaging techniques, like functional magnetic resonance imaging (fMRI), are not able to directly measure neuronal activity. To address this knowledge gap, a team has created a novel experimental ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Patients with brain injury who are unresponsive to commands may perform cognitive tasks that are detected on functional magnetic resonance imaging (fMRI) and electroencephalography (EEG). This ...