The power of rhythms: how steady-state evoked responses reveal early neurocognitive development by Claire Kabdebon, Ana Fló, Adélaïde de Heering, Richard Aslin

“…Electroencephalography (EEG) is a non-invasive and painless recording of cerebral activity, particularly well-suited for studying young infants, allowing the inspection of cerebral responses in a constellation of different ways. …”
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Resting-state EEG signatures of Alzheimer's disease are driven by periodic but not aperiodic changes by Martina Kopčanová, Luke Tait, Thomas Donoghue, George Stothart, Laura Smith, Aimee Arely Flores-Sandoval, Paula Davila-Perez, Stephanie Buss, Mouhsin M. Shafi, Alvaro Pascual-Leone, Peter J. Fried, Christopher S.Y. Benwell

“…Electroencephalography (EEG) has shown potential for identifying early-stage biomarkers of neurocognitive dysfunction associated with dementia due to Alzheimer's disease (AD). …”
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Patient-Specific Preictal Pattern-Aware Epileptic Seizure Prediction with Federated Learning by Raghdah Saemaldahr, Mohammad Ilyas

“…Electroencephalography (EEG) signals are the primary source for discriminating the preictal from the interictal stage, enabling early warnings before the seizure onset. …”
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Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused Review by Rihui Li, Dalin Yang, Feng Fang, Keum-Shik Hong, Allan L. Reiss, Yingchun Zhang

“…Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) stand as state-of-the-art techniques for non-invasive functional neuroimaging. …”
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Less Is More: Brain Functional Connectivity Empowered Generalizable Intention Classification With Task-Relevant Channel Selection by Haowei Lou, Zesheng Ye, Lina Yao, Yu Zhang

“…Electroencephalography (EEG) signals are gaining popularity in Brain-Computer Interface (BCI)-based rehabilitation and neural engineering applications thanks to their portability and availability. …”
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