Article
Neurosciences
Chenyan Zhang, Ann-Kathrin Stock, Moritz Mueckschel, Bernhard Hommel, Christian Beste
Summary: Higher-level cognitive functions are mediated through complex oscillatory activity patterns, but aperiodic activity also plays a role. This study investigated the relationship between aperiodic activity and metacontrol, finding that it increases during persistence-heavy processing and decreases during flexibility-heavy processing. These findings highlight the importance of aperiodic activity in understanding cognitive functions.
Article
Engineering, Biomedical
Jiahui Liao, Jun Wang, Chang'an A. Zhan, Feng Yang
Summary: Our study presents an effective single-channel EEG seizure detection method based on novel EEG power parameterization and channel selection algorithms, achieving high sensitivity, specificity, and accuracy in automatic seizure detection. The approach was evaluated using the CHB-MIT Scalp EEG database and showed promising results compared to previous studies using one or two channels of EEG signals.
PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE
(2023)
Article
Psychology, Biological
Anupriya Pathania, Melynda Schreiber, Matthew W. Miller, Matthew J. Euler, Keith R. Lohse
Summary: The study compared two methods for quantifying the slope of the power spectrum and found both methods to be highly reliable and sensitive during rest and task phases. The FOOOF algorithm showed better capability in explaining variance in power spectra across regions and types of activity.
INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY
(2021)
Article
Physics, Multidisciplinary
M. N. Najafi, S. Tizdast, Z. Moghaddam, M. Samadpour
Summary: Using a method developed in a recent paper, this study explores 1/f noise in 2DEG and establishes a model related to electronic avalanche size, which can describe experimentally observed flicker noise. The power spectrum of the system scales with frequency, and electronic avalanches exhibit power-law behavior in and out of the metal-insulator transition line.
Article
Clinical Neurology
Sara M. Pani, Matteo Fraschini, Michela Figorilli, Ludovica Tamburrino, Raffaele Ferri, Monica Puligheddu
Summary: Research focused on subjects with sleep-related hypermotor epilepsy and non-rapid eye movement parasomnias revealed significant differences in the relative power of the gamma frequency band and the slope of the aperiodic component of the EEG signal between the two groups. This suggests that these measures may be helpful in distinguishing between individuals with different sleep-related disorders.
JOURNAL OF SLEEP RESEARCH
(2021)
Article
Geriatrics & Gerontology
Ashley Merkin, Sabrina Sghirripa, Lynton Graetz, Ashleigh E. Smith, Brenton Hordacre, Richard Harris, Julia Pitcher, John Semmler, Nigel C. Rogasch, Mitchell Goldsworthy
Summary: The alpha-band oscillatory activity in human electroencephalography (EEG) becomes slower and lower in amplitude with age. This study investigated the role of aperiodic activity in age-related differences in resting EEG peak alpha frequency and power. The results showed that older adults had smaller aperiodic exponent and offset compared to younger participants, indicating a flatter slope and downward shift in power spectra with age. After correcting for aperiodic activity, peak alpha frequency remained slower in older adults, but there was no statistically significant difference in peak alpha power between age groups. These findings emphasize the importance of considering the aperiodic component when studying neural oscillatory activity in aging.
NEUROBIOLOGY OF AGING
(2023)
Article
Engineering, Biomedical
Robert J. Barry, Frances M. De Blasio
Summary: This study introduces a new method to extract valid estimates of pink and white noise from human EEG, demonstrating its effectiveness through simulated data and real examples. The distinct neural origins and power differences of pink and white noise in different conditions suggest potential applications for more accurate assessment of neural activity and noise removal in various fields of science and technology.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Computer Science, Interdisciplinary Applications
Moritz Gerster, Gunnar Waterstraat, Vladimir Litvak, Klaus Lehnertz, Alfons Schnitzler, Esther Florin, Gabriel Curio, Vadim Nikulin
Summary: This article scrutinizes two commonly used methods, FOOOF and IRASA, for separating periodic and aperiodic components in electrophysiological power spectra. The methods are evaluated using diverse spectra obtained from electroencephalography, magnetoencephalography, and local field potential recordings. The article highlights specific spectral features that hinder the separation and quantifies the parameterization error of each method. The advantages of both methods are evaluated based on real and simulated power spectra, and recommendations on how to use them are proposed.
Article
Chemistry, Analytical
Renata Plucinska, Konrad Jedrzejewski, Marek Waligora, Urszula Malinowska, Jacek Rogala
Summary: This paper focuses on EEG-based people verification and examines the impact of different frequency bands and hidden neuron numbers on verification results. The findings show that combining spectral features from multiple frequency bands with beta band features improves the results. Additionally, the study reveals that sensitivity results are poorer in the second scenario, indicating that previous studies may have overestimated their practical application.
Article
Engineering, Biomedical
Shan Liu, Jiang Wang, Shanshan Li, Lihui Cai
Summary: This paper explores the significance of periodic and aperiodic components in the power spectrum of EEG signals for epilepsy detection and prediction. It concludes that aperiodic neural activity plays a decisive role in classification.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Biology
Luc Edward Wilson, Jason da Silva Castanheira, Sylvain Baillet
Summary: Macroscopic neural dynamics can be decomposed into periodic and aperiodic spectral elements using the novel method SPRiNT, which shows specific strengths compared to other wavelet-based approaches. The method has been demonstrated to reliably recover time-varying spectral features and reveal the fluctuation of aperiodic spectral features over time. Moreover, SPRiNT can provide insights into the relationship between aperiodic dynamics and behavior.
Article
Neurosciences
Hubert Banville, Sean U. N. Wood, Chris Aimone, Denis-Alexander Engemann, Alexandre Gramfort
Summary: Building machine learning models using EEG data recorded outside of the laboratory setting requires methods that can handle noisy data and randomly missing channels. This study proposes dynamic spatial filtering (DSF), a multi-head attention module that can be plugged in before the first layer of a neural network to handle missing EEG channels. The proposed approach achieves high accuracy even in the presence of significant channel corruption.
Article
Clinical Neurology
Janna D. Lendner, Ulrich Harler, Jonathan Daume, Andreas K. Engel, Christian Zoellner, Till R. Schneider, Marlene Fischer
Summary: Anesthesia and surgery can cause cognitive impairment, especially memory deficits. This study used scalp electroencephalography to evaluate perioperative memory function and found that oscillatory and aperiodic brain activity in electroencephalography could track distinct features of postoperative memory function, providing a potential biomarker for predicting the risk of postoperative cognitive impairments.
CLINICAL NEUROPHYSIOLOGY
(2023)
Article
Neurosciences
Maximilian Hommelsen, Shivakumar Viswanathan, Silvia Daun
Summary: By analyzing inter-individual differences and treating RS activity as a change classification problem, a method has been developed to accurately screen out confounding factors and make precise judgments on neurophysiological changes.
EUROPEAN JOURNAL OF NEUROSCIENCE
(2022)
Article
Chemistry, Analytical
Renata Plucinska, Konrad Jedrzejewski, Urszula Malinowska, Jacek Rogala
Summary: Most studies on EEG-based biometry recognition use limited recorded EEG sessions for training and testing, which can lead to overestimated assessments. Our study shows that using multiple recording sessions for training improves sensitivity in EEG-based verification. Increasing the number of sessions above eight does not enhance results. Including data from multiple recording sessions is necessary for accurate EEG-based recognition.
Article
Clinical Neurology
Jaakko Vallinoja, Timo Nurmi, Julia Jaatela, Vincent Wens, Mathieu Bourguignon, Helena Maenpaa, Harri Piitulainen
Summary: The study aimed to assess the effects of lesions related to spastic diplegic cerebral palsy on functional connectivity. Using multiple imaging modalities, the researchers found enhanced functional connectivity in the sensorimotor network of individuals with spastic diplegic cerebral palsy, which was not correlated with hand coordination performance.
CLINICAL NEUROPHYSIOLOGY
(2024)
Article
Clinical Neurology
Francesca Ginatempo, Nicola Loi, John C. Rothwell, Franca Deriu
Summary: This study comprehensively investigated sensorimotor integration in the cranial-cervical muscles of healthy adults and found that the integration of sensory inputs with motor output is profoundly influenced by the type of sensory afferent involved and the functional role played by the target muscle.
CLINICAL NEUROPHYSIOLOGY
(2024)
