Deep learning of symbolic EEG patterns detects ADHD with 96% accuracy in children
A new EEG study combined entropy-optimized symbolic signal analysis with a bidirectional LSTM network to distinguish children with ADHD from ...
A new EEG study combined entropy-optimized symbolic signal analysis with a bidirectional LSTM network to distinguish children with ADHD from ...
Deleting Ptprd changes excitatory and inhibitory neuron markers and disrupts synaptic transmission in the postnatal mouse somatosensory cortex.
Re-analysis of 7,221 rare disease genomes shows outdated annotations in SpliceAI's precomputed scores can miss clinically relevant splice-altering variants.
A Genome Medicine study finds differential expression outperforms allele-specific analysis for most genes, while CRISPR allele labeling enables sensitive targeted ...
A retrospective study found that ASD individuals with epilepsy exhibited significantly lower cognitive performance compared to those with ASD alone ...
A rare gain-of-function BMPR2 variant shared by six unrelated children was linked to developmental delay, autism and abnormal nervous-system signaling ...
A retrospective Japanese study of 398 children found that those with neurodevelopmental disorders lived a mean of 12 kilometers farther ...
A planned U.S. study involving at least 125 SYNGAP1 caregivers will examine quality of life, caregiving, independence, education, employment and ...
Kennedy Krieger announced that CEO Bradley Schlaggar and chief science officer Amy Bastian were elected to the National Academy of ...
A new EEG study finds that children with ADHD show reduced engagement of a salience-linked brain microstate and weaker transitions ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine