A recent study published in Physical Review Letters reveals that many widely used signatures of criticality in brain data may be statistical artifacts. They propose a more robust framework that, when ...
This article reviews the evaluation and optimization of the preprocessing steps for blood-oxygenation-level-dependent (BOLD) functional magnetic resonance imaging (fMRI). This technique indirectly ...
Scientists have developed and tested a deep-learning model that could support clinicians by providing accurate results and clear, explainable insights—including a model-estimated probability score for ...
🔍 Motivation: Can we develop deep learning models that efficiently operate on voxel-level fMRI data - just like we do with other medical imaging modalities? 🧠 Architecture: We introduce BrainMT, a ...
DPABINet, a sophisticated enhancement of the DPABI software suite, streamlines the intricate analysis of brain networks through fMRI data, providing researchers of all expertise levels with ...
Abstract: Functional magnetic resonance imaging (fMRI) has ended up the most famous technique for imaging brain functions. Currently, there is a giant range of software packages for the analysis of ...
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