frontotemporal dementia
PulseAugur coverage of frontotemporal dementia — every cluster mentioning frontotemporal dementia across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New M-LINKX framework enhances EEG-based dementia detection
Researchers have developed M-LINKX, a novel multi-view graph learning framework designed to improve the detection of cognitive diseases like Alzheimer's and frontotemporal dementia using electroencephalogram (EEG) data.…
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New framework enhances Alzheimer's diagnosis using longitudinal MRI scans
Researchers have developed Parcel2Progression (P2P), a novel longitudinal framework designed to improve Alzheimer's disease diagnosis using structural MRI scans. P2P addresses computational limitations by employing an A…
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New hypothesis models von Economo neurons for rapid social decisions
A new computational model, the Fast Lane Hypothesis, proposes that von Economo neurons (VENs) facilitate rapid social decision-making by providing a fast, albeit less precise, neural pathway. Researchers developed a spi…
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New AI model enhances Alzheimer's detection from EEG data
Researchers have developed a new framework called Variational Mixture of Graph Neural Experts (VMoGE) to improve the recognition of Alzheimer's disease (AD) from EEG data. This model integrates multi-band EEG analysis w…
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AI network improves dementia diagnosis and MMSE prediction using EEG data
Researchers have developed a novel Task-guided Spatiotemporal Network (TGSN) incorporating diffusion augmentation to improve dementia diagnosis and MMSE prediction using EEG data. The TGSN utilizes multi-band feature fu…