Annual Research Review: Developmental pathways linking early behavioral inhibition to later anxiety

NA Fox, S Zeytinoglu, EA Valadez… - Journal of Child …, 2023 - Wiley Online Library
Behavioral Inhibition is a temperament identified in the first years of life that enhances the
risk for development of anxiety during late childhood and adolescence. Amongst children …

Machine learning algorithms for epilepsy detection based on published EEG databases: A systematic review

A Miltiadous, KD Tzimourta, N Giannakeas… - IEEE …, 2022 - ieeexplore.ieee.org
Epilepsy is the only neurological condition for which electroencephalography (EEG) is the
primary diagnostic and important prognostic clinical tool. However, the manual inspection of …

Brant: Foundation model for intracranial neural signal

D Zhang, Z Yuan, Y Yang, J Chen… - Advances in Neural …, 2024 - proceedings.neurips.cc
We propose a foundation model named Brant for modeling intracranial recordings, which
learns powerful representations of intracranial neural signals by pre-training, providing a …

Applying neural networks with time-frequency features for the detection of mental fatigue

I Zorzos, I Kakkos, ST Miloulis, A Anastasiou… - Applied Sciences, 2023 - mdpi.com
The detection of mental fatigue is an important issue in the nascent field of
neuroergonomics. Although machine learning approaches and especially deep learning …

Challenges and new perspectives of developmental cognitive EEG studies

E Hervé, G Mento, B Desnous, C François - NeuroImage, 2022 - Elsevier
Despite shared procedures with adults, electroencephalography (EEG) in early
development presents many specificities that need to be considered for good quality data …

Epileptic seizure detection based on variational mode decomposition and deep forest using EEG signals

X Liu, J Wang, J Shang, J Liu, L Dai, S Yuan - Brain Sciences, 2022 - mdpi.com
Electroencephalography (EEG) records the electrical activity of the brain, which is an
important tool for the automatic detection of epileptic seizures. It is certainly a very heavy …

[HTML][HTML] Rhythmic visual stimulation as a window into early brain development: A systematic review

M Koester, A Brzozowska, A Banki, M Tuente… - Developmental …, 2023 - Elsevier
Rhythmic visual stimulation (RVS), the periodic presentation of visual stimuli to elicit a
rhythmic brain response, is increasingly applied to reveal insights into early neurocognitive …

Towards complex multi-component pulse signal with strong noise: Deconvolution and time–frequency assisted mode decomposition

G Shi, C Qin, Z Zhang, J Tao, C Liu - Mechanical Systems and Signal …, 2024 - Elsevier
Pulse signal is a kind of signal with large amplitude in a short time, which widely exists in the
real world, such as vibration signals of rotating machinery, EEG signals and ECG signals …

Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective From the Time–Frequency Analysis

C Ju, C Guan - IEEE Transactions on Neural Networks and …, 2023 - ieeexplore.ieee.org
The motor imagery (MI) classification has been a prominent research topic in brain–
computer interfaces (BCIs) based on electroencephalography (EEG). Over the past few …

[HTML][HTML] Maximizing the potential of EEG as a developmental neuroscience tool

GA Buzzell, S Morales, EA Valadez, S Hunnius… - Developmental …, 2023 - Elsevier
Electroencephalography (EEG) is a relatively low-cost and non-invasive method for directly
measuring brain activity, well-suited for capturing real-time neural information across the …