Article
Neurosciences
Tim M. Tierney, Stephanie Mellor, George C. O'Neill, Ryan C. Timms, Gareth R. Barnes
Summary: This study investigates the interference rejection and spatial sampling properties of multi-axis Optically Pumped Magnetometer (OPM) data, finding that triaxial OPMs have excellent noise rejection properties and can adequately sample the neural space while minimizing cost, weight, and cross-talk.
Article
Radiology, Nuclear Medicine & Medical Imaging
Odile Feys, Pierre Corvilain, Alec Aeby, Claudine Sculier, Niall Holmes, Matthew Brookes, Serge Goldman, Vincent Wens, Xavier De Tiege, Florence Christiaens
Summary: This study compared the effectiveness of cryogenic and on-scalp MEG in detecting and localizing focal interictal epileptiform discharges (IEDs) in children with epilepsy. The results showed that on-scalp MEG had higher IED amplitudes and signal-to-noise ratios compared to cryogenic MEG, and the localization value was similar between the two modalities.
Article
Multidisciplinary Sciences
Maryam Honari-Jahromi, Brea Chouinard, Esti Blanco-Elorrieta, Liina Pylkkanen, Alona Fyshe
Summary: Despite the maturity of neuroscience research on composition, the evolution of stored semantic representations during composition remains poorly understood. New decoding techniques have allowed researchers to train models to recognize representations in one context or time-point and assess their accuracy in another. The study found that noun representations were generally more decodable than adjective representations, with nouns maintaining consistency across trials and over time in phrases. Adjective representations, on the other hand, did not show similar consistency across isolated and phrasal contexts.
Article
Multidisciplinary Sciences
Liliia Roshchupkina, Vincent Wens, Nicolas Coquelet, Xavier de Tiege, Philippe Peigneux
Summary: This study found that the resting-state magnetoencephalographic (MEG) network activity can reflect early learning-related plasticity mechanisms and interindividual motor ability differences. However, transient resting-state dynamics seem not to be modulated by learning experience and do not reflect neural plasticity.
SCIENTIFIC REPORTS
(2022)
Article
Multidisciplinary Sciences
Jacques Pesnot Lerousseau, Cesare Parise, Marc O. Ernst, Virginie van Wassenhove
Summary: In this study, the authors demonstrate the existence of neural mechanisms in the human brain that mediate the integration and segregation of multisensory information. The Multisensory Correlation Detector model explains well the behavioral judgments of causal inference and temporal order. The results suggest the presence of multisensory correlation detectors in the brain, which strongly influence causal inference based on temporal correlation of multisensory signals.
NATURE COMMUNICATIONS
(2022)
Article
Multidisciplinary Sciences
Micha Heilbron, Kristijan Armeni, Jan-Mathijs Schoffelen, Peter Hagoort, Floris P. de Lange
Summary: Understanding spoken language requires transforming ambiguous acoustic streams into a hierarchy of representations. The brain uses prediction to guide the interpretation of incoming input, and predictions are ubiquitous in language processing. Predictions at different levels interact with each other.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Neurosciences
Guiomar Niso, Laurens R. Krol, Etienne Combrisson, A. Sophie Dubarry, Madison A. Elliott, Clement Francois, Yseult Hejja-Brichard, Sophie K. Herbst, Karim Jerbi, Vanja Kovic, Katia Lehongre, Steven J. Luck, Manuel Mercier, John C. Mosher, Yuri G. Pavlov, Aina Puce, Antonio Schettino, Daniele Schon, Walter Sinnott-Armstrong, Bertille Somon, Andela Soskic, Suzy J. Styles, Roni Tibon, Martina G. Vilas, Marijn van Vliet, Maximilien Chaumon
Summary: Good Scientific Practice (GSP) refers to rules, recommendations, and guidelines that help scientists produce high-quality work and share it with the community. In the context of MEEG research, GSP includes technical standards and guidelines, as well as a consideration of personal, organizational, and societal factors.
Review
Clinical Neurology
Yoji Hirano, Peter J. Uhlhaas
Summary: There is consistent evidence pointing to the importance of neural oscillations in the pathophysiology of schizophrenia, with impaired rhythmic activity potentially leading to cognitive and behavioral deficits. Understanding the generating mechanisms of neural oscillations could provide insights into underlying circuit impairments and new treatment targets. Challenges in methodology and analysis in this area warrant further research.
PSYCHIATRY AND CLINICAL NEUROSCIENCES
(2021)
Review
Neurosciences
Guiomar Niso, Rotem Botvinik-Nezer, Stefan Appelhoff, Alejandro De la Vega, Oscar Esteban, Joset A. Etzel, Karolina Finc, Melanie Ganz, Remi Gau, Yaroslav O. Halchenko, Peer Herholz, Agah Karakuzu, David B. Keator, Christopher J. Markiewicz, Camille Maumet, Cyril R. Pernet, Franco Pestilli, Nazek Queder, Tina Schmitt, Weronika Sojka, Adina S. Wagner, Kirstie J. Whitaker, Jochem W. Rieger
Summary: The empirical observations show that the adoption rate of open practices in research labs is still in its infancy, despite overwhelming evidence of its necessity and benefits. Researchers and institutions can benefit from community-developed resources to support collaborative and reproducible neuroimaging practices throughout the research cycle.
Article
Neurosciences
Tijl Grootswagers, Amanda K. Robinson
Summary: Many papers in Computational Cognitive Neuroscience are developing and testing new analysis methods using specific neuroimaging datasets and problematic experimental stimuli. However, this approach may lead to overfitting to limited data. To validate the generalizability of current published results and obtain more robust findings, it is necessary to collect more high-quality open neuroimaging data.
FRONTIERS IN HUMAN NEUROSCIENCE
(2021)
Review
Clinical Neurology
Mangor Pedersen, David F. Abbott, Graeme D. Jackson
Summary: Magnetoencephalography with optically pumped magnometers (OPM-MEG) is a wearable system that can record neuronal activity with high temporal and spatial resolution. Compared to conventional techniques, OPM-MEG has more advantages and shows potential in epilepsy surgery evaluation.
Article
Biochemical Research Methods
Pierre Ablin, Jean-Francois Cardoso, Alexandre Gramfort
Summary: The SMICA model accurately estimates independent sources and denoises signals by fitting the spectral covariance matrix. Experimental results show that SMICA outperforms competing methods in localization and source identification on MEG and EEG datasets with low amplitude dipole sources.
JOURNAL OF NEUROSCIENCE METHODS
(2021)
Article
Psychology, Biological
Valentina Jelincic, Ilse Van Diest, Diana M. Torta, Andreas von Leupoldt
Summary: Dyspnea or breathlessness is a common symptom in various diseases, but the neural mechanisms underlying its subjective experience are not well understood. Neural oscillatory dynamics and cross-frequency coupling are proposed as possible neural mechanisms for respiratory perception, warranting further attention and research.
Review
Neurosciences
Michael J. Crosse, Nathaniel J. Zuk, Giovanni M. Di Liberto, Aaron R. Nidiffer, Sophie Molholm, Edmund C. Lalor
Summary: The use of linear modeling techniques in cognitive neuroscience research on speech and language processing has become more common, but studying clinical cohorts introduces complexity and potential instability in modeling procedures, leading to inconsistent results.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Neurosciences
Malgorzata Wislowska, Wolfgang Klimesch, Ole Jensen, Christine Blume, Manuel Schabus
Summary: Recent research has found that a wide range of cognitive operations are preserved during sleep in humans. This challenges scientists to understand the functions and mechanisms of these processes, which have mainly been studied in awake individuals. In this study, the focus is on the dynamic changes of brain oscillations and connectivity patterns in response to environmental stimulation during non-REM sleep. The results show that aurally presented names were processed and differentiated by neurons across the wake-sleep spectrum. EEG and MEG signals recorded simultaneously revealed two distinct clusters of oscillatory power increase in response to the stimuli. This study discusses the possible roles of different oscillations during non-REM sleep and aims to develop a unified theory of brain rhythms and their functions during sleep.
JOURNAL OF NEUROSCIENCE
(2022)
Article
Neurosciences
Antonia Micucci, Vera Ferrari, Andrea De Cesarei, Maurizio Codispoti
JOURNAL OF COGNITIVE NEUROSCIENCE
(2020)
Article
Psychiatry
Hanna Schwarzmeier, Elisabeth Johanna Leehr, Joscha Boehnlein, Fabian Reinhard Seeger, Kati Roesmann, Bettina Gathmann, Martin J. Herrmann, Niklas Siminski, Markus Junghoefer, Thomas Straube, Dominik Grotegerd, Udo Dannlowski
INTERNATIONAL JOURNAL OF METHODS IN PSYCHIATRIC RESEARCH
(2020)
Article
Neurosciences
Kati Roesmann, Nele Wiens, Constantin Winker, Maimu Alissa Rehbein, Ida Wessing, Markus Junghoefer
Article
Multidisciplinary Sciences
Constantin Winker, Maimu A. Rehbein, Dean Sabatinelli, Markus Junghofer
Article
Neurosciences
Tomasz S. Ligeza, Marcin Maciejczyk, Miroslaw Wyczesany, Heiko Wagner, Kati Roesmann, Markus Junghofer
BRAIN AND COGNITION
(2020)
Article
Neurosciences
Florian Bublatzky, Fatih Kavcioglu, Pedro Guerra, Sarah Doll, Markus Junghoefer
Article
Neurosciences
Luca Ronconi, David Melcher, Markus Junghoefer, Carsten H. Wolters, Niko A. Busch
Summary: This study aimed to investigate the causal relationship between alpha oscillations and visual perception. By applying transcranial alternating current stimulation (tACS), the researchers found that the stimulation did not consistently enhance or decrease individual alpha frequency (IAF) as expected, and it did not affect temporal integration/segregation accuracy. Although there were some preliminary evidence suggesting an influence of tACS phase on temporal integration accuracy, the ongoing phase of tACS oscillations did not reliably modulate temporal integration/segregation accuracy in a sinusoidal way.
EUROPEAN JOURNAL OF NEUROSCIENCE
(2022)
Article
Psychology, Biological
Maurizio Codispoti, Antonia Micucci, Andrea De Cesarei
Summary: This study aimed to investigate the relationship between object categorization in natural scenes and emotional engagement by manipulating both bottom-up information and top-down context. The findings suggest that semantic analysis of visual scenes, in terms of object categorization, is a necessary condition for emotional engagement at the electrocortical level.
Article
Surgery
Christian Dobel, Eva Algermissen, Jovanna Thielker, Katharina Geissler, Gerd Fabian Volk, Carsten Klingner, Otto Wilhelm Witte, Markus Junghofer, Orlando Guntinas-Lichius
Summary: This study compared emotional expression recorded in photographs and videos before and after treatment with BTX. The results showed that videos were generally rated more positively than photographs, especially for neutral expressions. Additionally, women were rated as more attractive after BTX treatment.
AESTHETIC SURGERY JOURNAL
(2021)
Article
Psychology, Clinical
Hugo Romero Frausto, Kati Roesmann, Isabelle A. G. Klinkenberg, Maimu A. Rehbein, Manuel Foecker, Georg Romer, Markus Junghoefer, Ida Wessing
Summary: This study investigated the cognitive and attentional biases towards food in individuals with anorexia nervosa (AN) using magnetoencephalography (MEG) technology. The results revealed that although AN patients rated high-calorie food as less palatable, they showed increased neural activity in the early stages of food processing, indicating heightened attentional response. This increased appetitive response to food may serve as an adaptive mechanism in a state of undernourishment.
PSYCHOLOGICAL MEDICINE
(2022)
Article
Psychology, Experimental
Andrea De Cesarei, Shari Cavicchi, Giampaolo Cristadoro, Marco Lippi
Summary: The study found that although deep convolutional neural networks (CNNs) are inspired by the structure of the human visual brain, there are significant differences in accuracy and image-level agreement between humans and CNNs in a two-class visual categorization task. Additionally, CNNs were shown to have difficulty in categorizing high-passed natural scenes, indicating potential limitations in their adaptation to regularities in the visual environment.
Article
Psychology, Biological
Tomasz S. Ligeza, Marcin Maciejczyk, Miroslaw Wyczesany, Markus Junghofer
Summary: The study suggests that aerobic exercise can improve mood and emotional reactivity in healthy individuals, but has limited influence on neural emotional reactivity in depressed individuals, and the effectiveness of exercise decreases with the severity of depressive symptoms.
Article
Psychology, Experimental
Andrea De Cesarei, Stefania D'Ascenzo, Roberto Nicoletti, Maurizio Codispoti
Summary: While inappropriate information can hinder task performance, cognitive control mechanisms and contextual conditions can alleviate interference. In the Simon task, interference is reduced by non-correspondence in the previous trial (correspondence sequence effect, CSE); however, the mechanisms supporting this effect are not well understood. This study investigates the role of novelty and trial-to-trial changes in a Simon task, showing similar modulation of CSE for both novel and non-novel stimulus changes. Changing the response modality from trial to trial dampens CSE, especially with a higher probability of switch trials, suggesting a role for long-term learning.
PSYCHOLOGICAL RESEARCH-PSYCHOLOGISCHE FORSCHUNG
(2023)
Review
Psychology, Biological
Maurizio Codispoti, Andrea De Cesarei, Vera Ferrari
Summary: The most consistent alpha oscillatory pattern during emotion picture perception is an enhanced desynchronization over posterior sensors. This effect is not specific to unpleasant pictures, but has also been observed for pleasant stimuli. It involves a desynchronization of the upper alpha band and lower beta frequencies and reflects cortical excitability associated with the engagement of motivational systems.
Article
Multidisciplinary Sciences
Andrea De Cesarei, Michele Marzocchi, Geoffrey R. Loftus
Summary: VISTO is a simple device built on the Arduino platform that allows for measuring the exact onset and offset of visual stimuli and testing their synchronization with trigger signals. It enables control of stimulus timing presentation, measurement of luminance curve profiles and exposure time, as well as synchronization between trigger signals and visual stimuli.
