Article
Neurosciences
Andreea Micula, Jerker Ronnberg, Yue Zhang, Elaine Hoi Ning Ng
Summary: This study investigated the effect of potential changes in physiological arousal on task engagement during an auditory recall test. The findings showed that pupil baseline decreased over the course of the test, indicating a decline in arousal due to task habituation. However, recall performance remained stable, suggesting that participants maintained the necessary engagement level. Working memory capacity and signal-to-noise ratio did not affect the change in arousal. Individuals with higher WM capacity exhibited a larger mean pupil baseline at low SNR levels, possibly due to better performance in challenging listening conditions.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Multidisciplinary Sciences
Valentina Krenz, Tobias Sommer, Arjen Alink, Benno Roozendaal, Lars Schwabe
Summary: Memories are believed to undergo a time-dependent system consolidation, during which hippocampal activity decreases and neocortical activity increases. However, noradrenergic arousal after encoding can reverse this process and maintain the vividness of memories over time.
NATURE COMMUNICATIONS
(2021)
Article
Psychology, Biological
Joanna Pilarczyk, Radoslaw Sterna, Emilia Schwertner, Beata Pacula, Marta Bartoszek, Michal Kuniecki
Summary: This study investigated the link between physiological responses during encoding and subsequent memory of emotional stimuli. The results showed that physiological reactions at encoding, such as pupil constriction and heart rate deceleration, predicted the accuracy of recognition. The effects of these physiological reactions were influenced by the valence and arousal of the stimuli.
BIOLOGICAL PSYCHOLOGY
(2022)
Article
Neurosciences
Adrian W. Gilmore, Alina Quach, Sarah E. Kalinowski, Stephen J. Gotts, Daniel L. Schacter, Alex Martin
Summary: Humans can vividly recall and re-experience events from their past, known as episodic or autobiographical memories. fMRI experiments associate autobiographical event recall with activity in default brain regions. Recent study shows that sustained effects during autobiographical recall primarily involve default network regions, while neural activity associated with recalling specific details is transient and broadly distributed across category-selective cortex.
JOURNAL OF NEUROSCIENCE
(2021)
Article
Psychology
Marina P. Gross, Ian G. Dobbins
Summary: According to the study results, pupil dilation mainly reflects time pressure and decision urgency, rather than encoding efficacy. Pupil dilation is more pronounced under high time pressure, and slower decision-making also leads to greater dilation. Even when encoding dilations are similar in deep and shallow tasks, subsequent recognition rates are still higher for deep tasks.
JOURNAL OF EXPERIMENTAL PSYCHOLOGY-LEARNING MEMORY AND COGNITION
(2021)
Review
Physiology
Martin Schaefer, Sylvia Edwards, Frans Norden, Johan N. Lundstrom, Artin Arshamian
Summary: This study systematically reviewed the literature on how breathing affects pupil dynamics in humans. The findings suggest inconclusive evidence for an effect of breathing on pupil dynamics, with low to very low ratings for breathing phase, depth, and rate.
PFLUGERS ARCHIV-EUROPEAN JOURNAL OF PHYSIOLOGY
(2023)
Article
Multidisciplinary Sciences
Kenneth W. Latimer, David J. Freedman
Summary: Neurons in the parietal cortex show task-related activity during decision-making tasks. Long-term training in different tasks shapes neural computations and representations. In this study, we investigated the responses of neurons in the lateral intraparietal area (LIP) during a visual motion delayed-match-to-category task. We found that the sensory representations in LIP are influenced by the sequence of tasks learned by the animals, highlighting the importance of considering training history in studies with complex behavioral tasks.
NATURE COMMUNICATIONS
(2023)
Article
Multidisciplinary Sciences
Shaimaa Masarwa, Olga Kreichman, Sharon Gilaie-Dotan
Summary: Image memory is influenced by multiple factors, and larger images are better remembered in naturalistic vision, with memory proportional to image size.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Behavioral Sciences
Goran B. W. Soderlund, Silje Torvanger, Nouchine Hadjikhani, Jakob Asberg Johnels
Summary: Prior research has demonstrated the enactment effect in memory recall for action sentences. This study compared the effectiveness of writing during encoding through handwriting and keyboarding with enacting. The results showed that enacting had the highest memory recall, while handwriting and keyboarding had the lowest recall.
BRAIN AND BEHAVIOR
(2023)
Article
Neurosciences
Soyeon Jun, June Sic Kim, Chun Kee Chung
Summary: This study evaluated the ability of gamma activity in ECoG signals to differentiate between remembered and forgotten memories, achieving a mean maximum accuracy of 87.5% using temporal cortical gamma activity during the 0- to 1-s interval. The results support the functional relevance of ECoG for memory formation and suggest that lateral temporal cortical HFA may be utilized for memory prediction.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Medicine, General & Internal
Mohamad El Haj, Claire Boutoleau-Bretonniere, Guillaume Chapelet
Summary: In this study, the researchers measured the pupil dilation of both older and younger adults while they performed tasks requiring cognitive inhibition. The results showed that both age groups had fewer accurate responses in the interference condition compared to the color-naming and word-reading conditions. Additionally, larger pupil dilation was observed in the interference condition for both older and younger adults.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Neurosciences
Barour H. Joensen, Daniel Bush, Umesh Vivekananda, Aidan J. Horner, James A. Bisby, Beate Diehl, Anna Miserocchi, Andrew W. McEvoy, Matthew C. Walker, Neil Burgess
Summary: In this study, the researchers investigated the predictive role of hippocampal theta activity during encoding on subsequent associative memory performance. They found that theta power in the hippocampus increased during encoding and that this increase was related to successful retrieval of pairs in the memory task. These findings help to clarify the role of theta oscillations in associative memory formation and suggest that results from epilepsy patients undergoing intracranial electroencephalography recordings can be extended to healthy participants undergoing magnetoencephalography recordings.
Article
Linguistics
Benjamin Kowialiewski, Julia Krasnoff, Eda Mizrak, Klaus Oberauer
Summary: This study investigates the mechanisms behind the impact of semantic relatedness on working memory performance by independently varying the encoding and recall order for lists of related words. The results demonstrate that semantic relatedness affects working memory performance at the encoding stage, and the temporal order in which words are presented is the most important determinant of the semantic relatedness effect.
JOURNAL OF MEMORY AND LANGUAGE
(2022)
Article
Audiology & Speech-Language Pathology
Andreea Micula, Jerker Ronnberg, Patrycja Ksiazek, Reena Murmu Nielsen, Dorothea Wendt, Lorenz Fiedler, Elaine Hoi Ning Ng
Summary: This study investigated the relationship between task-evoked pupillary responses, individual working memory capacity, and noise reduction in hearing aids with subsequent memory recall. The results showed a significant association between the intensity of pupillary responses and memory recall, while there was no clear relationship between working memory capacity and memory recall. Additionally, noise reduction did not have a significant effect on memory recall.
Article
Multidisciplinary Sciences
Hugo Mitre-Hernandez, Jorge Sanchez-Rodriguez, Sergio Nava-Munoz, Carlos Lara-Alvarez
Summary: This study classifies memorization tasks of different difficulty levels using pupillary response data, finding significant differences in pupillometric features for different levels of difficulty, and successfully evaluates task cognitive load using a random forest classifier.
Article
Engineering, Biomedical
Filip Mivalt, Vaclav Kremen, Vladimir Sladky, Irena Balzekas, Petr Nejedly, Nicholas M. Gregg, Brian Nils Lundstrom, Kamila Lepkova, Tereza Pridalova, Benjamin H. Brinkmann, Pavel Jurak, Jamie J. Van Gompel, Kai Miller, Timothy Denison, Erik K. St Louis, Gregory A. Worrell
Summary: This study investigates the feasibility of automated sleep classification using continuous iEEG data recorded from patients with drug-resistant epilepsy, providing insights into the impact of DBS on sleep and comorbidities.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Pharmacology & Pharmacy
Irene Vuu, Edward E. Patterson, Chun-Yi Wu, Dorota Zolkowska, Ilo E. Leppik, Michael A. Rogawski, Gregory A. Worrell, Vaclav Kremen, James C. Cloyd, Lisa D. Coles
Summary: This study characterizes the pharmacokinetics and pharmacodynamics of allopregnanolone, providing a basis for designing clinical studies evaluating its effectiveness as an early treatment for status epilepticus in dogs and people.
JOURNAL OF PHARMACOLOGY AND EXPERIMENTAL THERAPEUTICS
(2022)
Article
Multidisciplinary Sciences
John E. Fleming, Vaclav Kremen, Ro'ee Gilron, Nicholas M. Gregg, Mayela Zamora, Derk-Jan Dijk, Philip A. Starr, Gregory A. Worrell, Simon Little, Timothy J. Denison
Summary: Biological rhythms play a crucial role in physiology and pathophysiology. However, the influence of these rhythms on bioelectronic medicine has been difficult to analyze due to limitations in current neuromodulation device technology. As new devices are developed to overcome these limitations, it is important to incorporate chronobiological considerations in their control structures to maximize the benefits of neuromodulation therapy.
Article
Medicine, General & Internal
Cagdas Topcu, Victoria S. Marks, Krishnakant V. Saboo, Michal Lech, Petr Nejedly, Vaclav Kremen, Gregory A. Worrell, Michal T. Kucewicz
Summary: This study investigates the critical brain regions and neural activities involved in human memory encoding by conducting intracranial electrophysiological recordings in epilepsy patients. The findings reveal significant differences in low theta frequency neural activities in the prefrontal cortex between subsequently recalled and forgotten words, with a more pronounced memory effect in the anterior cortical regions. The study identifies a focal hotspot in the prefrontal cortex as a potential target for modulating cognitive functions in patients.
Article
Clinical Neurology
Vikram V. Puram, Dana Ghazaleh, Apameh Salari, Kaci McCleary, Gerald Moriarty, Kendall Nichols, Malik Ghannam, Kevin Brown, Brent Berry
Summary: PRES is a neurotoxic state with various causes, including medications and infections. This report presents the first case of Mepolizumab-induced PRES, aiming to raise awareness of this potentially life-threatening side effect.
Article
Chemistry, Analytical
Lukas Matera, Pavol Sajgalik, Vratislav Fabian, Yegor Mikhailov, David Zemanek, Bruce D. Johnson
Summary: Czech physiologist Penaz developed a non-invasive method for continuous arterial waveform detection and beat-to-beat analysis using a finger mounted BP cuff. The study validated the signal analysis acquired by a novel brachial occlusion-cuff principle and showed a positive correlation between brachial pulse waves measured by the new device and Finapres. The proposed parameter, Occlusion Cuff Index (OCCI), has potential as an index for describing changes during beat-to-beat cardiac cycles.
Article
Biology
Vikram Venkata Puram, Brent Berry, Malik Ghannam, Yuka Furuya
Summary: Hyperammonemia is a rare condition that may occur after solid organ transplantation. It causes encephalopathy characterized by altered sensorium, often misdiagnosed as nonconvulsive status epilepticus. Seizures are common and difficult to treat in patients with hyperammonemia, and elevated intracranial pressure and cerebral edema are frequently observed.
Article
Clinical Neurology
Elsa Juan, Urszula Gorska, Csaba Kozma, Cynthia Papantonatos, Tom Bugnon, Colin Denis, Vaclav Kremen, Greg Worrell, Aaron F. Struck, Lisa M. Bateman, Edward M. Merricks, Hal Blumenfeld, Giulio Tononi, Catherine Schevon, Melanie Boly
Summary: A study on 129 cases of focal impaired awareness seizures and 50 cases of focal to bilateral tonic-clonic seizures found that loss of consciousness is deeper during the latter, even before generalization occurs. Unlike focal impaired awareness seizures, early loss of consciousness during focal to bilateral tonic-clonic seizures is accompanied by a decrease in slow-wave activity and an increase in high-gamma activity. After generalization, there is an increase in slow-wave activity, cortical activation, ictal cross-frequency coupling, and ictal recruitment in multiple cortical regions. These findings contribute to understanding the different consequences of seizure types on clinical outcomes.
Article
Multidisciplinary Sciences
Petr Nejedly, Vaclav Kremen, Kamila Lepkova, Filip Mivalt, Vladimir Sladky, Tereza Pridalova, Filip Plesinger, Pavel Jurak, Martin Pail, Milan Brazdil, Petr Klimes, Gregory Worrell
Summary: Manual review, annotation, and categorization of EEG data is time-consuming and biased, requiring experts. We propose a semi-supervised machine learning technique using deep learning methods and minimal gold-standard labels. The method achieved acceptable results in EEG classification and was able to generalize to new patients for detecting epileptic discharges.
SCIENTIFIC REPORTS
(2023)
Article
Engineering, Biomedical
Kristyna Pijackova, Petr Nejedly, Vaclav Kremen, Filip Plesinger, Filip Mivalt, Kamila Lepkova, Martin Pail, Pavel Jurak, Gregory Worrell, Milan Brazdil, Petr Klimes
Summary: In this study, an automatic method for optimizing neural network architectures for processing iEEG data was proposed. The method achieved significantly improved results compared to the subjective heuristic approach of a human expert, and showed the importance of well-designed data preprocessing for model performance.
JOURNAL OF NEURAL ENGINEERING
(2023)
Article
Biology
Brent Berry, Yogatheesan Varatharajah, Vaclav Kremen, Michal Kucewicz, Hari Guragain, Benjamin Brinkmann, Juliano Duque, Diego Z. Carvalho, Matt Stead, Gary Sieck, Gregory Worrell
Summary: Low frequency brain rhythms facilitate communication across large spatial regions in the brain, while high frequency rhythms signify local processing among nearby assemblies. Phase-amplitude coupling (PAC) is a heavily investigated phenomenon that shows promise as an electrophysiologic biomarker in neurologic diseases. This study investigates the electrophysiologic relationships of PAC in epileptogenic and non-epileptogenic tissue, showing that it can differentiate seizure onset zone from non-seizure onset zone and is influenced by interictal epileptiform discharges. The results suggest that elevated PAC may serve as a biomarker for abnormal/epileptogenic brain regions.
Article
Biochemical Research Methods
Krishnakant V. Saboo, Yurui Cao, Vaclav Kremen, Vladimir Sladky, Nicholas M. Gregg, Paul M. Arnold, Philippa J. Karoly, Dean R. Freestone, Mark J. Cook, Gregory A. Worrell, Ravishankar K. Iyer
Summary: This paper presents machine learning models that use bivariate intracranial EEG (iEEG) features to predict seizure clustering. The models accurately predicted seizure occurrence and type, providing potential benefits in addressing clinical burden and improving patients' quality of life.
IEEE TRANSACTIONS ON NANOBIOSCIENCE
(2023)
Article
Engineering, Biomedical
Filip Mivalt, Vladimir Sladky, Samuel Worrell, Nicholas M. Gregg, Irena Balzekas, Inyong Kim, Su-youne Chang, Daniel R. Montonye, Andrea Duque-Lopez, Martina Krakorova, Tereza Pridalova, Kamila Lepkova, Benjamin H. Brinkmann, Kai J. Miller, Jamie J. Van Gompel, Timothy Denison, Timothy J. Kaufmann, Steven A. Messina, Erik K. St Louis, Vaclav Kremen, Gregory A. Worrell
Summary: Long-term iEEG monitoring in freely behaving canines combined with behavioral observations provides valuable electrophysiological information for studying brain function. In this study, an automated iEEG-based sleep-wake classifier for canines was developed and validated using expert sleep labels. The results show that the classifier has high accuracy and consistency, and reveal differences in sleep characteristics between daytime and nighttime sleep in dogs.
JOURNAL OF NEURAL ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Jindrich Adolf, Yoram Segal, Matyas Turna, Tereza Novakova, Jaromir Dolezal, Patrik Kutilek, Jan Hejda, Ofer Hadar, Lenka Lhotska
Summary: The objective of this study is to evaluate the performance of functional tests using a camera-based system and machine learning techniques. The results suggest that a camera-based system combined with machine learning algorithms can be a simple and inexpensive tool to assess the performance quality of functional tests.
Article
Clinical Neurology
Vladimir Sladky, Petr Nejedly, Filip Mivalt, Benjamin H. Brinkmann, Inyong Kim, Erik K. St Louis, Nicholas M. Gregg, Brian N. Lundstrom, Chelsea M. Crowe, Tal Pal Attia, Daniel Crepeau, Irena Balzekas, Victoria S. Marks, Lydia P. Wheeler, Jan Cimbalnik, Mark Cook, Radek Janca, Beverly K. Sturges, Kent Leyde, Kai J. Miller, Jamie J. Van Gompel, Timothy Denison, Gregory A. Worrell, Vaclav Kremen
Summary: This study describes a distributed brain co-processor system that tracks the correlation between seizures and patient behavior, while providing accurate seizure diaries. By synchronizing electrophysiological analysis with patient reports using handheld devices and integrated cloud computing resources, seizures and patient symptoms can be quantified.
BRAIN COMMUNICATIONS
(2022)