Article
Neurosciences
Federica Meconi, Juan Linde-Domingo, Catarina S. Ferreira, Sebastian Michelmann, Bernhard Staresina, Ian Apperly, Simon Hanslmayr
Summary: Through two experiments, the study found that memories play a significant role in empathy, as participants' experiences in empathetic tasks can trigger the reactivation of their autobiographical memories, leading to heightened emotional responses.
HUMAN BRAIN MAPPING
(2021)
Article
Neurosciences
Petra Hermann, Bela Weiss, Balazs Knakker, Petra Madurka, Annamaria Manga, Adam Narai, Zoltan Vidnyanszky
Summary: The study identified two top-down attentional control processes that have opposing effects on distractor resistance. An early selection negativity was found in EEG responses to matching distractors, and congruency effects were positively associated with distractor resistance.
Article
Neurosciences
Thomas M. Morin, Allen E. Chang, Weida Ma, Joseph T. McGuire, Chantal E. Stern
Summary: Variations in the functional connectivity of large-scale cortical brain networks may explain individual differences in learning ability. Using dynamic network analysis of fMRI data, researchers identified changes in functional brain networks associated with context-dependent rule learning. Successful rule learners showed specific network characteristics, such as reduced flexible switching between different functional communities and decreased centrality of ventral attention regions while increased assortative mixing of cognitive control regions.
Article
Engineering, Biomedical
Caroline L. Alves, Thaise G. L. de O. Toutain, Joel Augusto Moura Porto, Patricia Maria de Carvalho Aguiar, Eduardo Ponde de Sena, Francisco A. Rodrigues, Aruane M. Pineda, Christiane Thielemann
Summary: This study presents a rigorous approach using machine learning and deep learning techniques to automate the diagnosis of schizophrenia. By analyzing functional magnetic resonance imaging and electroencephalogram datasets, the researchers established a model that achieved excellent classification results. The findings demonstrate that the topology and dynamics of brain networks in individuals with schizophrenia differ from those without the disorder, and EEG measurements outperformed complex networks in capturing the brain alterations associated with schizophrenia.
JOURNAL OF NEURAL ENGINEERING
(2023)
Article
Neurosciences
Shengchao Zhang, Sarah E. Goodale, Benjamin P. Gold, Victoria L. Morgan, Dario J. Englot, Catie Chang
Summary: Patterns in fMRI data can reflect dynamic changes in the brain and are related to individual and group differences in behavior, cognition, and clinical traits. Detecting vigilance states in fMRI data without external measurements is challenging. This study shows that vigilance levels can be detected in the low-dimensional structure of fMRI data, even within individual time frames.
Article
Neurosciences
Mari Tervaniemi
Summary: This paper introduces the development of MMN stimulation paradigms, starting from the paradigms used in basic science and then moving to paradigms that are relevant for studies on music learning and musical expertise. The author wishes to stimulate further development of paradigms through historical and thematic perspectives.
FRONTIERS IN NEUROSCIENCE
(2022)
Review
Neurosciences
Catriona L. Scrivener
Summary: EEG and fMRI provide non-invasive measures of brain activity, offering different perspectives on brain function. Simultaneous recording aims to maximize their strengths, but separate recording sessions may have greater statistical power for detecting effects.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Neurosciences
Ke Jia, Ya Li, Mengyuan Gong, Hui Huang, Yonghui Wang, Sheng Li
Summary: This study investigated the changes in working memory representation induced by training using fMRI and TMS techniques. The results suggest that training does not alter the necessity of sensory area in representing WM information, but may change the coding format of the stored stimulus in this region. Additionally, training can lead to more robust maintenance of WM content in higher-order parietal areas.
JOURNAL OF NEUROSCIENCE
(2021)
Article
Neurosciences
Rachel Rac-Lubashevsky, Anna Cremer, Anne G. E. Collins, Michael J. Frank, Lars Schwabe
Summary: Human learning and decision-making rely on multiple parallel systems. Recent studies have shown a trade-off between reinforcement learning (RL) and working memory (WM). A computational model predicts that high WM load slows behavioral acquisition but enhances robustness and retention through larger prediction errors in the RL system.
JOURNAL OF NEUROSCIENCE
(2023)
Review
Neurosciences
Mia A. Thomaidou, Kaya J. Peerdeman, Melissa I. Koppeschaar, Andrea W. M. Evers, Dieuwke S. Veldhuijzen
Summary: This comprehensive review summarizes and interprets the neurobiological correlates of nocebo hyperalgesia in healthy humans, shedding light on the involvement of cognitive-affective and physiological processes in pain modulation and calling for more consistency and replication studies. The findings point towards the complexity of nocebo effects on pain perception and emphasize the need for further research to understand the mechanisms through which these effects exacerbate pain. Despite methodological differences and inconsistent results, these studies provide key insights into the neurobiological processes involved in nocebo hyperalgesia.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Neurosciences
Jonathan Gallego-Rudolf, Maria Corsi-Cabrera, Luis Concha, Josefina Ricardo-Garcell, Erick Pasaye-Alcaraz
Summary: This study compared the effectiveness of different BCG correction methods in preserving EEG spectral features, with results showing that ICA-based correction approaches were more beneficial for retaining EEG signal reactivity. Additionally, different correction methods had an impact on the results of EEG-informed fMRI analysis.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Clinical Neurology
Laura Mirandola, Daniela Ballotta, Francesca Talami, Giada Giovannini, Giacomo Pavesi, Anna Elisabetta Vaudano, Stefano Meletti
Summary: In drug-resistant temporal lobe epilepsy (TLE) patients, interictal epileptiform discharges (IED) were found to impact distant extra-temporal areas, particularly the motor/premotor cortex. Individual analysis revealed involvement of at least one Intrinsic Connectivity Network (ICN) in each patient's spike-related fMRI map.
FRONTIERS IN NEUROLOGY
(2021)
Article
Engineering, Biomedical
Davide Valeriani, Lena C. O'Flynn, Alexis Worthley, Azadeh Hamzehei Sichani, Kristina Simonyan
Summary: This study introduces a multimodal brain-computer interface (BCI) to assist collaborative teams of humans and artificial agents in making more accurate decisions during a pandemic scenario. By decoding the neural markers of decision-making confidence and trust, the BCI-assisted teams outperform traditional teams in terms of decision accuracy. The study highlights the significance of using collaborative BCIs for augmented decision-making strategies.
JOURNAL OF NEURAL ENGINEERING
(2022)
Review
Education & Educational Research
Pinar Ozel, Duygu Mutlu-Bayraktar, Tugba Altan, Veysel Coskun, Ali Olamat
Summary: By conducting a systematic review of 40 articles, this study found that most research combines subjective and objective measures to assess cognitive load, along with neuroimaging measures. Studies also focused on examining learning outcomes, cognitive processes, and identified EEG, fMRI, fNIRS, and TCD as the most preferred neuroimaging tools in multimedia learning research.
INTERACTIVE LEARNING ENVIRONMENTS
(2021)
Article
Neurosciences
Josephine Cruzat, Ruben Herzog, Pavel Prado, Yonatan Sanz-Perl, Raul Gonzalez-Gomez, Sebastian Moguilner, Morten L. Kringelbach, Gustavo Deco, Enzo Tagliazucchi, Agustin Ibanez
Summary: Healthy brain dynamics are characterized by a complex system that is far from thermodynamic equilibrium. However, Alzheimer's disease (AD) disrupts the time-reversal symmetry of brain activity, moving it towards equilibrium dynamics. Through the analysis of brain data from AD patients and healthy control subjects, it was found that AD is associated with a decrease in temporal irreversibility at global, local, and network levels, affecting multiple frequency bands. Specifically, frontal and temporoparietal regions were most affected at the local level, while limbic, frontoparietal, default mode, and salience networks were most compromised at the network level. Temporal reversibility was related to cognitive decline in AD and gray matter volume in healthy control subjects.
JOURNAL OF NEUROSCIENCE
(2023)
Editorial Material
Neurosciences
Lei Zhang, Sasa Redzepovic, Michael Rose, Jan Glaescher
Article
Multidisciplinary Sciences
Mareike Clos, Tobias Sommer, Signe L. Schneider, Michael Rose
Article
Multidisciplinary Sciences
Julia Jablonowski, Philipp Taesler, Qiufang Fu, Michael Rose
Article
Geriatrics & Gerontology
Signe L. Winterling, Stephanie M. Shields, Michael Rose
NEUROBIOLOGY OF AGING
(2019)
Article
Behavioral Sciences
Jie Wu, Qiufang Fu, Michael Rose
NEUROBIOLOGY OF LEARNING AND MEMORY
(2020)
Article
Behavioral Sciences
Xiaoyan Zhou, Qiufang Fu, Michael Rose
FRONTIERS IN INTEGRATIVE NEUROSCIENCE
(2020)
Article
Biology
Andreas Strube, Michael Rose, Sepideh Fazeli, Christian Buechel
Summary: The study found that in heat and pain processing, alpha-to-beta activity is associated with stimulus intensity expectation, followed by a negative modulation of gamma band activity by absolute prediction errors.
Article
Multidisciplinary Sciences
Philipp Taesler, Michael Rose
Summary: The study found that the insular cortex-based theta-band oscillatory states have a functional impact on the processing and subjective discrimination of nociceptive stimuli, offering potential for clinical applications.
SCIENTIFIC REPORTS
(2021)
Article
Biophysics
Jie Wu, Qitian Li, Qiufang Fu, Michael Rose, Liping Jing
Summary: This study investigates the facilitation effect of multisensory information on category learning. The results show that higher degree of stimuli distortion leads to a more robust multisensory effect, and the categorization of stimuli in one modality can be influenced by an accompanying stimulus in the other modality.
MULTISENSORY RESEARCH
(2022)
Article
Multidisciplinary Sciences
Andreas Strube, Michael Rose, Sepideh Fazeli, Christian Buechel
Summary: The processing of negative affective pictures leads to desynchronization of alpha-to-beta frequencies and synchronization of gamma frequencies. Higher frequencies are associated with prediction errors, while lower frequencies are linked to expectations in predictive coding. The study found that top-down predictions and bottom-up prediction errors are represented in typical spectral patterns associated with affective picture processing.
SCIENTIFIC REPORTS
(2021)
Article
Neurosciences
Julia Jablonowski, Michael Rose
Summary: The incidental acquisition of multimodal associations is crucial for everyday memory functions. This study found that the ventral and dorsal posterior parietal regions have different functional recruitment in multimodal memory processing, and these differences are directly related to the associative process.
HUMAN BRAIN MAPPING
(2022)
Article
Multidisciplinary Sciences
Philipp Taesler, Michael Rose
Summary: Pain perception is influenced by processes such as expectations and attention before the actual stimulus, which can be seen in brain activity. A multivariate approach was used to identify specific pre-stimulus EEG activity patterns related to subsequent pain perception. The results showed that high gamma band activity in fronto-central regions played a crucial role in classifying painful sensations. Additionally, the pre-stimulus activity was as informative as post-stimulus processing, indicating its importance in predicting pain perception.
SCIENTIFIC REPORTS
(2022)
Article
Multidisciplinary Sciences
Carina Jaap, Marike C. Maack, Philipp Taesler, Frank Steinicke, Michael Rose
Summary: Learning, whether implicit or explicit, plays a crucial role in our daily lives. Various factors can influence the transition from implicit to explicit memory. Virtual reality can enhance this transition and affect the level of awareness in memory. The study found that immersive VR environments led to a higher level of explicitly remembered pairs compared to screen-based tasks.
SCIENTIFIC REPORTS
(2022)
Article
Neurosciences
Andreas Strube, Bjoern Horing, Michael Rose, Christian Buechel
Summary: Agency and expectations play crucial roles in pain perception and treatment. The Bayesian pain model integrates somatosensation and expectations to form a pain percept, weighting them by their precision. Two experiments showed that self-treatment and high treatment expectations led to greater pain relief. The findings supported the idea that agency enters the Bayesian pain model as a prior shift.
Article
Psychology, Multidisciplinary
Xiaoyan Zhou, Qiufang Fu, Michael Rose, Yuqi Sun
FRONTIERS IN PSYCHOLOGY
(2019)