Article
Neurosciences
Alejandra Mondino, Viviane S. Hambrecht-Wiedbusch, Duan Li, A. Kane York, Dinesh Pal, Joaquin Gonzalez, Pablo Torterolo, George A. Mashour, Giancarlo Vanini
Summary: Research indicates that activation of preoptic glutamatergic neurons can initiate wakefulness but not maintain arousal from sleep, potentially impacting NREM stability and REM sleep generation.
JOURNAL OF NEUROSCIENCE
(2021)
Article
Neurosciences
Hunki Kwon, Sharif Kronemer, Kate L. Christison-Lagay, Aya Khalaf, Jiajia Li, Julia Z. Ding, Noah C. Freedman, Hal Blumenfeld
Summary: The study revealed changes in gamma power in multiple brain regions during the earliest stages of conscious visual perception, involving visual processing, language memory, and attention control, among others.
Article
Neurosciences
Aya Khalaf, Sharif Kronemer, Kate Christison-Lagay, Hunki Kwon, Jiajia Li, Kun Wu, Hal Blumenfeld
Summary: This study investigated the earliest cortical neural signals following consciously perceived visual stimuli in humans using intracranial electroencephalography. The findings revealed early changes in gamma power within 30-180 ms from stimulus onset in a distributed network of brain regions, suggesting the involvement of a visual detection network shortly after signal transduction from the retina.
Article
Neurosciences
Zhufeng Lu, Xiaodong Zhang, Hanzhe Li, Teng Zhang, Linxia Gu, Qing Tao
Summary: In this study, an asynchronous artifact-enhanced EEG-based control paradigm assisted by slight-facial expressions was developed. The brain connectivity analysis revealed dynamic interactions among brain regions. The paradigm showed high real-time capability and accuracy, demonstrating stability and agility in offline assessment and online manipulations.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Chemistry, Multidisciplinary
Kunyoung Lee, Seunghyun Kim, Eui Chul Lee
Summary: In order to create a facial expression recognition system for practical applications, this study proposes a method that maximizes the synergistic effect of jointly learning discrete and continuous emotional states using a knowledge distillation structure and teacher-bounded loss function. By using Emonet as the teacher model and a lightweight network as the student model, it is shown that performance degradation can be minimized, and computational efficiency can be significantly improved. The proposed method is optimized for application-level interaction systems in terms of both computational requirements and accuracy.
APPLIED SCIENCES-BASEL
(2023)
Article
Behavioral Sciences
Stephanie van der Donck, Michelle Hendriks, Silke Vos, Hans Op de Beeck, Bart Boets
Summary: Processing faces can be challenging for individuals with autism. This study used frequency-tagging electroencephalography to assess neural sensitivity to rapid changes in subtle facial cues in autistic men and non-autistic controls. The study found no significant differences in neural sensitivity between the two groups for facial identity and facial expression discrimination. Sad faces elicited lower neural amplitudes compared to angry, fearful, and happy faces. The only minor group difference was a larger involvement of high-level right-hemisphere visual areas in non-autistic men for facial expression processing.
Article
Psychology, Multidisciplinary
Gerardo Santaniello, Pilar Ferre, Alberto Sanchez-Carmona, Daniel Huete-Perez, Jacobo Albert, Jose A. Hinojosa
Summary: This study investigated the contribution of approach and avoidance motivational systems to the processing of emotional words, and found that fear words showed higher gamma power band synchronization compared to anger words. These results support the fear-hinders-action hypothesis, and highlight the importance of motivational features in the representation and processing of emotional words.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Neurosciences
Rong Li, Jun Hwan Ryu, Peter Vincent, Max Springer, Dan Kluger, Erik A. Levinsohn, Yu Chen, Huafu Chen, Hal Blumenfeld
Summary: The study identified a shared network of transient fMRI increases in subcortical arousal and cortical salience/attention networks, which were consistent across different tasks and study populations. Furthermore, it found that sustained activity in these networks was more variable, and the function of the transient pulse in these networks remains unknown.
Article
Computer Science, Information Systems
Yi Yang, Qiang Gao, Yu Song, Xiaolin Song, Zemin Mao, Junjie Liu
Summary: With the development of sensor technology and learning algorithms, multimodal emotion recognition has become a popular research topic. Existing studies have mainly focused on emotion recognition in normal individuals, but there is a greater need for emotion recognition in deaf individuals who cannot express emotions through words. This paper proposes a method using deep belief network (DBN) to classify emotions based on electroencephalograph (EEG) and facial expressions in deaf subjects. The results show a classification accuracy of 99.92% with feature selection in deaf emotion recognition.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2022)
Article
Neurosciences
I. Muukkonen, V. R. Salmela
Summary: Face perception is an example of how the brain processes visual differences and represents identities and emotional expressions. This study investigates the neural processing of facial expressions using videos with varying intensity and category (happy, angry, surprised). The results show that different brain regions encode expression category and intensity differently, with IFG-FA playing a specific role in encoding expression intensity.
Article
Clinical Neurology
Neil Scolding, Adrian M. Owen, John Keown
Summary: The Royal College of Physicians in the UK published national guidelines on the management of patients with prolonged disorders of consciousness in March 2020. The report questions the rejection of neuroimaging techniques and calls for urgent review of the guidance.
Article
Clinical Neurology
Priscella Asman, Giuseppe Pellizzer, Sudhakar Tummala, Israt Tasnim, Dhiego Bastos, Shreyas Bhavsar, Sujit Prabhu, Nuri F. Ince
Summary: The study aims to evaluate the functional use of sub-band modulations in somatosensory evoked potentials (SSEPs) to discriminate between the primary somatosensory (S1) and motor (M1) areas and contrast the states of consciousness. Through time-frequency analysis on SSEP traces, spectral modulations were extracted and their spatial topography visualized in anesthetized and awake states. The results showed that late gamma modulation can serve as a biomarker for primary sensorimotor localization and monitor the level of consciousness in neurosurgical practice.
CLINICAL NEUROPHYSIOLOGY
(2023)
Article
Behavioral Sciences
Stephanie Matt, Milena Dzhelyova, Louis Maillard, Joelle Lighezzolo-Alnot, Bruno Rossion, Stephanie Caharel
Summary: This study evaluated the capacity of human brain to rapidly and automatically categorize facial emotions under various conditions, showing that despite wide physical variability, rapid and automatic classification of the six basic facial expressions can be achieved. Categorization responses were mainly found over occipito-temporal sites, with distinct hemispheric lateralization and cortical topographies according to the different expressions.
Article
Neurosciences
David Schubring, Harald T. Schupp
Summary: The study found that high-arousal pictures are associated with a decrease in alpha/beta power, particularly peaking in occipitoparietal sensors; while late alpha/beta power increase to mutilation pictures may reflect top-down inhibitory control processes. These findings suggest that brain oscillations in the alpha/beta-band may serve as a useful measure of emotional stimulus processing.
Letter
Clinical Neurology
Steven Galetta
Summary: The study shows that early absence of epileptiform activity, continuous background amplitude with reactivity, and later stimulus-induced rhythmic periodic or ictal discharges (SIRPIDs) strongly predict favorable long-term outcomes in patients after cardiac arrest. While SIRPIDs may indicate brain reactivity, they are not associated with cerebral hyperperfusion, and therefore do not require aggressive treatment in later stages.
Article
Substance Abuse
Marianna Masiero, Claudio Lucchiari, Ketti Mazzocco, Giulia Veronesi, Patrick Maisonneuve, Costantino Jemos, Emanuela Omodeo Sale, Stefania Spina, Raffaella Bertolotti, Gabriella Pravettoni
NICOTINE & TOBACCO RESEARCH
(2019)
Editorial Material
Behavioral Sciences
Claudio Lucchiari, Nicholas J. Kelley, Maria Elide Vanutelli, Roberta Ferrucci
FRONTIERS IN BEHAVIORAL NEUROSCIENCE
(2019)
Article
Behavioral Sciences
Marianna Masiero, Claudio Lucchiari, Patrick Maisonneuve, Gabriella Pravettoni, Giulia Veronesi, Ketti Mazzocco
FRONTIERS IN BEHAVIORAL NEUROSCIENCE
(2019)
Article
Psychology, Clinical
Claudio Lucchiari, Marianna Masiero, Ketti Mazzocco, Giulia Veronesi, Patrick Maisonneuve, Costantino Jemos, Emanuela Omodeo Sale, Stefania Spina, Raffaella Bertolotti, Gabriella Pravettoni
ADDICTIVE BEHAVIORS
(2020)
Article
Substance Abuse
Claudio Lucchiari, Marianna Masiero, Gabriella Pravettoni
JOURNAL OF ADDICTIONS NURSING
(2020)
Article
Neurosciences
Maria Elide Vanutelli, Francesca Meroni, Giulia Fronda, Michela Balconi, Claudio Lucchiari
Article
Psychology, Multidisciplinary
Alice Cancer, Maria Elide Vanutelli, Claudio Lucchiari, Alessandro Antonietti
Summary: Neurofunctional models suggest disruption in the left-lateralized reading network in individuals with developmental dyslexia. Neurofeedback training is proposed as an alternative intervention method for modulating inter-hemispheric balance, but its impact on reading outcomes remains inadequately explored.
FRONTIERS IN PSYCHOLOGY
(2021)
Editorial Material
Psychology, Multidisciplinary
Maria Elide Vanutelli, Mirella Manfredi, Ori Amir, Claudio Lucchiari
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Education & Educational Research
Maria Elide Vanutelli, Antonella Grieco, Eleonora Comelli, Claudio Lucchiari
Summary: The COVID-19 emergency has important implications for the psychological well-being of people with intellectual disability (ID). This action research aimed to provide emotional competencies training to help them cope with stress. The study found that after the training, the participants showed improved emotional language and perception of the COVID-related threat. These findings highlight the importance of developing targeted emotional support programs for people with ID.
EDUCATION SCIENCES
(2023)
Review
Neurosciences
Maria Elide Vanutelli, Marco Salvadore, Claudio Lucchiari
Summary: BCI devices are increasingly being used to create interactive interfaces between users and their own psychophysiological signals. These systems have seen strong development over the years, enabling people with limited mobility to make decisions to alter their environment. The present paper conducted a scoping review to systematically describe the studies on the application potential of BCI to the field of creativity, including clinical applications and creative content creation.
Article
Oncology
Claudio Lucchiari, Marianna Masiero, Ketti Mazzocco, Giulia Veronesi, Patrick Maisonneuve, Costantino Jemos, Emanuela Omodeo Sale, Stefania Spina, Raffaella Bertolotti, Derna Busacchio, Gabriella Pravettoni
Summary: The purpose of this study was to investigate the impact of using e-cigarettes on the pulmonary health of chronic smokers, as well as the effectiveness of e-cigarettes in supporting smoking cessation. The results showed that while participants in the nicotine e-cigarette group initially experienced a significant decrease in daily cigarettes, they later resumed smoking more than the other two groups. In contrast, participants in the other two groups showed similar daily cigarette consumption. Among those who successfully quit smoking, only a small percentage reported cough, while a higher percentage of current smokers had pulmonary symptoms. Therefore, the use of nicotine-free liquid in e-cigarettes may help reduce smoking and could be a viable option in a clinical setting.
Article
Respiratory System
Maria E. Vanutelli, Veronica Cortinovis, Claudio Lucchiari
Summary: People with intellectual disabilities often face cognitive and social-emotional challenges. However, current intervention techniques are not suitable for them as their condition is often considered unimprovable. This paper explores the potential of creativity as a means to enhance cognitive and emotional skills in individuals with ID, and presents the results of a preliminary phase of a research project aimed at empowering these areas of interest.
LIFE SPAN AND DISABILITY
(2022)
Article
Psychology
Paola Maria Sala, Maria Elide Vanutelli, Claudio Lucchiari
RICERCHE DI PSICOLOGIA
(2019)
Article
Philosophy
Claudio Lucchiari, Francesca Meroni, Maria Elide Vanutelli
RIVISTA INTERNAZIONALE DI FILOSOFIA E PSICOLOGIA
(2019)
Article
Education & Educational Research
Claudio Lucchiari, Paola Maria Sala, Maria Elide Vanutelli
THINKING SKILLS AND CREATIVITY
(2019)
Article
Psychology, Biological
Youling Bai, Jianguo Qu, Dan Li, Huazhan Yin
Summary: This study used resting-state functional connectivity analysis to investigate the neural pathways between internet addiction tendency and sleep quality, and found a positive correlation between internet addiction tendency and the strength of functional connectivity within the default-mode network. Furthermore, internet addiction tendency mediated the relationship between these functional couplings and sleep quality.
INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY
(2024)
Article
Psychology, Biological
Jie Zhang, Xiyan Li, Shiwei Liu, Can Xu, Zhijie Zhang
Summary: In this study, electroencephalogram data was analyzed to compare the resting network activation between heavy media multitaskers (HMM) and light media multitaskers (LMM). The results showed that HMM had weaker activation in the attention network, but enhanced activation in the salience network. They also had an enhanced visual network and may feel less comfortable during resting-state periods. This suggests that chronic media multitasking leads to a bottom-up or stimulus-driven allocation of attention for HMM, while LMM use a top-down approach.
INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY
(2024)
