Article
Anesthesiology
Alyssa K. Labonte, MohammadMehdi Kafashan, Emma R. Huels, Stefanie Blain-Moraes, Mathias Basner, Max B. Kelz, George A. Mashour, Michael S. Avidan, Ben Julian A. Palanca, ReCCognition Study Grp
Summary: This study suggests that the PDR peak frequency can be a useful marker for assessing cognitive dysfunction after surgery, especially for working memory, visuomotor speed, and executive function. The PDR peak frequency can effectively track the recovery of cognitive function over time.
BRITISH JOURNAL OF ANAESTHESIA
(2023)
Article
Neurosciences
Kathryn J. M. Lambert, Yvonne Y. Chen, Christopher Donoff, Jonah Elke, Christopher R. Madan, Anthony Singhal
Summary: The mental representations of our bodies influence how we interact with our surroundings. Through motor imagery, we can observe these mental representations using scalp EEG recordings. Motor imagery can be characterized by visual or kinaesthetic modality, and these modalities can be engaged separately or together. The study found that individuals imagine movement differently depending on whether it involves their dominant or non-dominant hand, and left-handers may be more flexible in their motor imagery strategies.
EUROPEAN JOURNAL OF NEUROSCIENCE
(2023)
Article
Clinical Neurology
Alberto Jaramillo-Jimenez, Jazmin Ximena Suarez-Revelo, John Fredy Ochoa-Gomez, Jairo Alexander Carmona Arroyave, Yamile Bocanegra, Francisco Lopera, Omar Buritica, David Antonio Pineda-Salazar, Leonardo Moreno Gomez, Carlos Andres Tobon Quintero, Miguel German Borda, Laura Bonanni, Dominic H. Ffytche, Kolbjorn Bronnick, Dag Aarsland
Summary: The study found that the alpha/theta ratio was lower in all brain regions in Parkinson's Disease patients compared to healthy controls, with significant positive correlations between alpha/theta in the right occipital lobe and visuospatial performance in PD. This suggests that the alpha/theta ratio in the right occipital lobe may be an important marker for evaluating early signs of cognitive decline and dementia risk in PD.
CLINICAL NEUROPHYSIOLOGY
(2021)
Article
Clinical Neurology
Alberto Jaramillo-Jimenez, Diego A. Tovar-Rios, Johann Alexis Ospina, Yorguin-Jose Mantilla-Ramos, Daniel Loaiza-Lopez, Veronica Henao Isaza, Luisa Maria Zapata Saldarriaga, Valeria Cadavid Castro, Jazmin Ximena Suarez-Revelo, Yamile Bocanegra, Francisco Lopera, David Antonio Pineda-Salazar, Carlos Andres Tobon Quintero, John Fredy Ochoa-Gomez, Miguel German Borda, Dag Aarsland, Laura Bonanni, Kolbjor Bronnick
Summary: The objective of this study is to analyze the differences in resting-state electroencephalogram (rs-EEG) spectral features between Parkinson's Disease (PD) and healthy subjects using Functional Data Analysis (FDA), and to explore the external validity and reproducibility of the findings in four independent cohorts. The study included 169 subjects from four centers, and differences in features were compared using both averaged epochs and epoch-to-epoch FDA models. The results showed significantly higher theta relative power spectral density in PD patients across all datasets, as well as higher pre-alpha relative power spectral density in three out of four datasets.
CLINICAL NEUROPHYSIOLOGY
(2023)
Article
Multidisciplinary Sciences
Theodore P. Zanto, Vinith Johnson, Avery Ostrand, Adam Gazzaley
Summary: The study suggests that musical rhythm training improves short-term memory for nonmusical tasks, such as face recognition. EEG data shows that the training does not change neural activity related to sensory processing and selective attention, but it enhances neural activity associated with short-term memory encoding. The results indicate that musical rhythm training can enhance memory performance on nonmusical tasks by altering brain activity in specific regions.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Clinical Neurology
Jin Jing, Wendong Ge, Shenda Hong, Marta Bento Fernandes, Zhen Lin, Chaoqi Yang, Sungtae An, Aaron F. Struck, Aline Herlopian, Ioannis Karakis, Jonathan J. Halford, Marcus C. Ng, Emily L. Johnson, Brian L. Appavu, Rani A. Sarkis, Gamaleldin Osman, Peter W. Kaplan, Monica B. Dhakar, Lakshman Arcot Jayagopal, Zubeda Sheikh, Olga Taraschenko, Sarah Schmitt, Hiba A. Haider, Jennifer A. Kim, Christa B. Swisher, Nicolas Gaspard, Mackenzie C. Cervenka, Andres A. Rodriguez Ruiz, Jong Woo Lee, Mohammad Tabaeizadeh, Emily J. Gilmore, Kristy Nordstrom, Ji Yeoun Yoo, Manisha G. Holmes, Susan T. Herman, Jennifer A. Williams, Jay Pathmanathan, Fabio A. Nascimento, Ziwei Fan, Samaneh Nasiri, Mouhsin M. Shafi, Sydney S. Cash, Daniel B. Hoch, Andrew J. Cole, Eric S. Rosenthal, Sahar F. Zafar, Jimeng Sun, M. Brandon Westover
Summary: This study aimed to develop and validate a computer algorithm that can accurately identify seizures (SZs) and SZ-like events on EEG, known as ictal-interictal-injury continuum (IIIC) patterns, with expert-level reliability. The algorithm, named SPaRCNet, matched or exceeded the performance of most experts in classifying IIIC events, making it a potentially valuable tool for expedited review of EEGs.
Article
Engineering, Biomedical
Adel Oulefki, Sos Agaian, Thaweesak Trongtirakul, Samir Benbelkacem, Djamel Aouam, Nadia Zenati-Henda, Mohamed-Lamine Abdelli
Summary: The article introduces a system combining CT imaging tools and Virtual Reality (VR) technology for accurately screening COVID-19 disease and navigating 3D visualizations of medical scenes. The key benefits of this system include providing stereoscopic depth perception, better insights into overall imaging data, allowing doctors to visualize and manipulate 3D models, and accurately visualizing dynamic 3D volumetric data in real time. The developed system could potentially be used for medical education, professional training, and telehealth VR platforms.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2022)
Article
Neurosciences
J. Ibanez, A. Del Vecchio, J. C. Rothwell, S. N. Baker, D. Farina
Summary: This study investigates the transmission speeds of cortical beta rhythms to arm and leg muscles during mild contractions in humans. Two improvements for estimating corticomuscular beta transmission delays are proposed, leading to the discovery that descending corticomuscular beta transmission is only slightly slower than expected from the fastest corticospinal pathways. Simulation results suggest two possible scenarios to explain fast corticomuscular transmission, with implications for our understanding of corticomuscular interactions.
JOURNAL OF NEUROSCIENCE
(2021)
Article
Neurosciences
Moritz Koester, Miriam Langeloh, Christine Michel, Stefanie Hoehl
Summary: Research findings suggest that 9-month-old infants show a pronounced response in the ongoing 4-5 Hz theta rhythm during the processing of unexpected events, while their event-related activity to unexpected events in the negative central (Nc) component is not related to the theta rhythm. These results provide critical evidence that the theta rhythm is involved in processing prediction errors in early human brain development.
Article
Statistics & Probability
Spencer Woody, Carlos M. Carvalho, Jared S. Murray
Summary: Nonparametric regression models have been gaining power and popularity due to the increasing size and complexity of datasets. However, these models can be difficult to interpret and may not meet the underlying inferential goals of analysts and decision makers. This article proposes a two-stage approach to create concise and interpretable summaries of complex models, allowing flexibility in choice of modeling techniques and inferential targets. A flexible model is first fit for accuracy, followed by the construction of lower-dimensional summaries with valid Bayesian uncertainty estimates.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
(2021)
Article
Computer Science, Software Engineering
Ivan Zubarev, Gavriela Vranou, Lauri Parkkonen
Summary: MNEflow is a Python package that applies deep neural networks to EEG and MEG measurements. It includes Tensorflow implementations of popular CNN models for EEG-MEG data and introduces a flexible pipeline for preprocessing, validation, and model interpretation. The software aims to save time and computational resources in analyzing EEG and MEG data.
Article
Neurosciences
Alexander J. Cook, Kristina J. Pfeifer, Peter A. Tass
Summary: Electroencephalographic activity over the sensorimotor cortex has been extensively studied for neurofeedback therapy, with Parkinson's disease patients exhibiting abnormal brain rhythms. A pilot study involving one patient with PD demonstrated the feasibility of sensorimotor neurofeedback training in reducing PD-related activity and increasing SMR power in the human motor cortex.
FRONTIERS IN NEUROSCIENCE
(2021)
Review
Pediatrics
Poorva Deshpande, Patrick J. McNamara, Cecil Hahn, Prakesh S. Shah, Anne-Marie Guerguerian
Summary: This article reviews the literature on normal and abnormal aEEG patterns in preterm infants and proposes a stepwise clinical algorithm for aEEG assessment at the bedside.
EUROPEAN JOURNAL OF PEDIATRICS
(2022)
Article
Engineering, Biomedical
Marina Filipovic, Thomas Dautremer, Claude Comtat, Simon Stute, Eric Barat
Summary: This study introduces an easy-to-use methodology for assessing uncertainty in Bayesian models for PET image reconstruction and provides detailed analysis and interpretation of posterior image distributions. The coverage properties of posterior distributions are validated, offering more insight for incorporating uncertainty information into diagnostic and quantification tasks.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Engineering, Multidisciplinary
Kanan Wahengbam, Kshetrimayum Linthoinganbi Devi, Aheibam Dinamani Singh
Summary: Brain-Media is a discipline that decodes sophisticated human brain activity, such as imagination, memories, colors, textures, patterns, etc. Existing efforts either classify brain signals or map them to an image of the same class, but they ignore the existence of disruptive noises. This research proposes a multimodality time-series and spatial-domain hybrid framework and a unique ResilientNet Generator to robustly classify signals.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Clinical Neurology
Martin Carrasco-Gomez, Hanneke M. Keijzer, Barry J. Ruijter, Ricardo Bruna, Marleen C. Tjepkema-Cloostermans, Jeannette Hofmeijer, Michel J. A. M. van Putten
Summary: The study demonstrates the added value of EEG functional connectivity features in predicting outcomes of comatose patients after cardiac arrest. Combining different sets of features improves the sensitivity of outcome prediction models, showing the potential for early EEG-derived functional connectivity to enhance prediction of coma following cardiac arrest.
CLINICAL NEUROPHYSIOLOGY
(2021)
Article
Ethics
Mayli Mertens, Owen C. King, Michel J. A. M. van Putten, Marianne Boenink
Summary: Self-fulfilling prophecies in neuroprognostication refer to cases where poor outcomes are predicted for comatose patients, leading to withdrawal of treatment and potentially causing death, but hindering the evaluation of the accuracy of these predictions and impeding innovation in neuroprognostication.
JOURNAL OF MEDICAL ETHICS
(2022)
Article
Pharmacology & Pharmacy
Titia Q. Ruijs, Jules A. A. C. Heuberger, Annika A. de Goede, Dimitrios Ziagkos, Marije E. Otto, Robert J. Doll, Michel J. A. M. van Putten, Geert Jan Groeneveld
Summary: This study investigated the pharmacodynamic effects of drugs targeting cortical excitability using transcranial magnetic stimulation (TMS) combined with electromyography (EMG) and electroencephalography (EEG) in healthy subjects. The results showed that drugs like levetiracetam, valproic acid, and lorazepam can decrease cortical excitability, which can be detected using TMS-EMG-EEG. These findings suggest that TMS excitability measures can be used as biomarkers to demonstrate the pharmacodynamic effects of drugs that influence cortical excitability.
BRITISH JOURNAL OF CLINICAL PHARMACOLOGY
(2022)
Article
Engineering, Biomedical
Thijs E. Nassi, Wolfgang Ganglberger, Haoqi Sun, Abigail A. Bucklin, Siddharth Biswal, Michel J. A. M. van Putten, Robert J. Thomas, M. Brandon Westover
Summary: This study utilized a single respiratory effort belt and deep learning to automatically detect and analyze respiratory events in sleep, achieving accurate detection of obstructive apnea and prediction of apnea-hypopnea index. Differentiating between event types proved more challenging. The significance lies in the potential for overcoming the limitations of manual analysis and the application of this automated method outside of clinical environments.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2022)
Article
Critical Care Medicine
Sjoukje Nutma, Marleen C. Tjepkema-Cloostermans, Barry J. Ruijter, Selma C. Tromp, Walter M. van den Bergh, Norbert A. Foudraine, Francois H. M. Kornips, Gea Drost, Erik Scholten, Aart Strang, Albertus Beishuizen, Michel J. A. M. van Putten, Jeannette Hofmeijer
Summary: By conducting a study on 479 adult comatose post-cardiac arrest patients, it was found that TTM at 33°C had better outcomes in treating patients with moderate encephalopathy, while both 33°C and 36°C had similar outcomes in treating patients with mild encephalopathy. These results support the inclusion of predefined subgroup analysis based on EEG measures of the severity of encephalopathy in future clinical trials.
Article
Biochemistry & Molecular Biology
Domitilla Taxis di Bordonia e Valnigra, Gerco C. Hassink, Marloes R. Levers, Monica Frega, Jeannette Hofmeijer, Michel J. A. M. van Putten, Joost le Feber
Summary: Low neuronal activity in the penumbra of a brain infarct may be associated with apoptosis and contribute to irreversible damage. Cultured neurons exposed to hypoxia or TTX showed a relationship between low activity and apoptosis, suggesting that prolonged low activity may be a common factor in the pathways towards apoptosis.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Medicine, Research & Experimental
Joey P. A. J. Verdijk, Julia C. M. Pottkamper, Esmee Verwijk, Guido A. van Wingen, Michel J. A. M. van Putten, Jeannette Hofmeijer, Jeroen A. van Waarde
Summary: This study aims to investigate the effects of acetaminophen and nimodipine on postictal phenomena after seizures induced by electroconvulsive therapy (ECT). The study will systematically examine postictal EEG, MRI, and clinical symptoms, and test the effects of vasodilatory treatment in reducing postictal symptoms.
Article
Clinical Neurology
Valentina Barone, Johannes P. van Dijk, Mariette H. J. A. Debeij-van Hall, Michel J. A. M. van Putten
Summary: Attention is important in human brain function and often affected in neurological disorders. This study presents a simplified test using choice reaction time task, eye-tracking and EEG to assess visual attention in a clinical setting. Pilot data show significant differences in reaction times and eye metrics between controls and patients, indicating its potential use for diagnostics and prognostication.
CLINICAL EEG AND NEUROSCIENCE
(2023)
Article
Biology
Somin Lee, Sarita S. Deshpande, Edward M. Merricks, Emily Schlafly, Robert Goodman, Guy M. McKhann, Emad N. Eskandar, Joseph R. Madsen, Sydney S. Cash, Michel J. A. M. van Putten, Catherine A. Schevon, Wim van Drongelen
Summary: This study investigates the relationship between the fast action potentials of individual neurons and the slower fluctuations of the local field potential by adding a spatial component. The theoretical derivation and real-world observations using microelectrode array recordings demonstrate a consistent pattern. The findings suggest that in some cases, the temporal pattern of neural activity can predict the underlying spatial pattern.
COMMUNICATIONS BIOLOGY
(2023)
Article
Clinical Neurology
Valentina Barone, Maria Carla Piastra, Johannes P. van Dijk, Gerhard H. Visser, Mariette H. J. A. Debeij-van Hall, Michel J. A. M. van Putten
Summary: This study investigates the differences in cognitive and eye movement processes during seizures in pediatric patients with absences. It reveals that the involvement of the right frontal eye field is higher in patients with impaired eye movements compared to those with preserved eye movements during seizures. This finding has clinical significance for assessing visual attention in epilepsy patients and providing personalized advice.
CLINICAL NEUROPHYSIOLOGY
(2023)
Article
Multidisciplinary Sciences
Martina Lamberti, Shiven Tripathi, Michel J. A. M. van Putten, Sarah Marzen, Joost le Feber
Summary: Theory suggests that neural networks can predict their input, which may underlie various aspects of information processing. Some evidence exists for prediction in retinal cells, visual cortex, and hippocampus, but it's unclear if it's a generic feature of neural networks. This study investigated whether in vitro neural networks can predict stimulation and found that prediction relies on short-term and long-term memory.
Article
Clinical Neurology
Julia C. M. Pottkamper, Joey P. A. J. Verdijk, Eva Aalbregt, Sven Stuiver, Laurens van de Mortel, David G. Norris, Michel J. A. M. van Putten, Jeannette Hofmeijer, Guido A. van Wingen, Jeroen A. van Waarde
Summary: Postictal perfusion changes in the brain are correlated with seizure duration, with longer seizures causing a global decrease in cerebral blood flow and shorter seizures leading to global and regional perfusion increases. Seizure duration needs to be considered as a confounding factor in future studies.
Article
Multidisciplinary Sciences
Prejaas K. B. Tewarie, Marleen C. Tjepkema-Cloostermans, Romesh G. Abeysuriya, Jeannette Hofmeijer, Michel J. A. M. van Putten
Summary: Abnormal EEG evolution in patients with poor neurological recovery after cardiac arrest may result from persistent and selective synaptic failure, including corticothalamic circuitry and delayed corticothalamic propagation.
Meeting Abstract
Clinical Neurology
J. C. M. Pottkamper, J. P. A. J. Verdijk, E. Aalbregt, S. Stuiver, J. A. Van Waarde, D. G. Norris, G. A. Van Wingen, M. J. A. M. Van Putten, J. Hofmeijer
Meeting Abstract
Clinical Neurology
V. Barone, J. P. van Dijk, G. H. Visser, M. H. Debeij-van Hall, M. J. van Putten
Article
Biochemical Research Methods
Aline Silva da Cruz, Maria Margarida Drehmer, Wagner Baetas-da-Cruz, Joao Carlos Machado
Summary: This study quantified microcirculation cerebral blood flow in a rat model of ischemic stroke using ultrasound biomicroscopy and ultrasound contrast agents. The results showed high sensitivity and specificity of this method, making it a valuable tool for preclinical studies.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Christina Dalla, Ivana Jaric, Pavlina Pavlidi, Georgia E. Hodes, Nikolaos Kokras, Anton Bespalov, Martien J. Kas, Thomas Steckler, Mohamed Kabbaj, Hanno Wuerbel, Jordan Marrocco, Jessica Tollkuhn, Rebecca Shansky, Debra Bangasser, Jill B. Becker, Margaret McCarthy, Chantelle Ferland-Beckham
Summary: Many funding agencies have emphasized the importance of considering sex as a biological variable in experimental design to improve the reproducibility and translational relevance of preclinical research. Omitting the female sex from experimental designs in neuroscience and pharmacology can result in biased or limited understanding of disease mechanisms. This article provides methodological considerations for incorporating sex as a biological variable in in vitro and in vivo experiments, including the influence of age and hormone levels, and proposes strategies to enhance methodological rigor and translational relevance in preclinical research.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Wenyu Gu, Dongxu Li, Jia-Hong Gao
Summary: We developed a precise and rapid method for positioning and labelling triaxial OPMs on a wearable magnetoencephalography (MEG) system, improving the efficiency of OPM positioning and labelling.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Kai Lin, Linhang Zhang, Jing Cai, Jiaqi Sun, Wenjie Cui, Guangda Liu
Summary: The article introduces an EEG feature map processing model for emotion recognition, which achieves significantly improved accuracy by fusing EEG information at different spatial scales and introducing a channel attention mechanism.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
John E. Parker, Asier Aristieta, Aryn H. Gittis, Jonathan E. Rubin
Summary: This work presents a toolbox that implements a methodology for automated classification of neural responses based on spike train recordings. The toolbox provides a user-friendly and efficient approach to detect various types of neuronal responses that may not be identified by traditional methods.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Yun Liang, Ke Bo, Sreenivasan Meyyappan, Mingzhou Ding
Summary: This study compared the performance of SVM and CNN on the same datasets and found that CNN achieved consistently higher classification accuracies. The classification accuracies of SVM and CNN were generally not correlated, and the heatmaps derived from them did not overlap significantly.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Antonino Visalli, Maria Montefinese, Giada Viviani, Livio Finos, Antonino Vallesi, Ettore Ambrosini
Summary: This study introduces an analytical strategy that allows the use of mixed-effects models (LMM) in mass univariate analyses of EEG data. The proposed method overcomes the computational costs and shows excellent performance properties, making it increasingly important in the field of neuroscience.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Xavier Cano-Ferrer, Alexandra Tran -Van -Minh, Ede Rancz
Summary: This study developed a novel rotation platform for studying neural processes and spatial navigation. The platform is modular, affordable, and easy to build, and can be driven by the experimenter or animal movement. The research demonstrated the utility of the platform, which combines the benefits of head fixation and intact vestibular activity.
JOURNAL OF NEUROSCIENCE METHODS
(2024)