Article
Neurosciences
Kara L. Kerr, Erin L. Ratliff, Zsofia P. Cohen, Stormie Fuller, Kelly T. Cosgrove, Danielle C. DeVille, Masaya Misaki, Amanda Sheffield Morris, Jerzy Bodurka
Summary: Real-time fMRI neurofeedback has shown initial effectiveness in reducing symptoms of psychiatric disorders. This study presents a novel extension of neurofeedback by involving a second person (the parent) to modulate the brain activity of the focal participant (adolescent). The parent-adolescent relationship is crucial for emotion regulation development, and further research on dyadic neurofeedback targeting emotion-related processing is supported.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Review
Neurosciences
Florence Steiner, Natalia Fernandez, Joris Dietziker, Philipp Stampfli, Erich Seifritz, Anton Rey, Sascha Fruhholz
Summary: Affective speech communication involves decoding of affect information in the cortico-limbic brain systems. Previous research neglected the social nature of affective communication and underestimated its real-time adaptive dynamics. Using real-time neuroimaging, we found that live adaptive affective speech is acoustically distinct, adaptive, and individualized, and makes more efficient use of neural affect decoding mechanisms.
PROGRESS IN NEUROBIOLOGY
(2022)
Article
Neurosciences
Florian Krause, Nikos Kogias, Martin Krentz, Michael Luhrs, Rainer Goebel, Erno J. Hermans
Summary: Recent research has shown that acute stress affects the allocation of neural resources between brain networks, potentially influencing stress resilience and leading to psychopathology. Training individuals to self-regulate stress-related network balance may be a promising approach to increase resilience.
Article
Neurosciences
Amelie Haugg, Fabian M. Renz, Andrew A. Nicholson, Cindy Lor, Sebastian J. Gotzendorfer, Ronald Sladky, Stavros Skouras, Amalia McDonald, Cameron Craddock, Lydia Hellrung, Matthias Kirschner, Marcus Herdener, Yury Koush, Marina Papoutsi, Jackob Keynan, Talma Hendler, Kathrin Cohen Kadosh, Catharina Zich, Simon H. Kohl, Manfred Hallschmid, Jeff MacInnes, R. Alison Adcock, Kathryn C. Dickerson, Nan-Kuei Chen, Kymberly Young, Jerzy Bodurka, Michael Marxen, Shuxia Yao, Benjamin Becker, Tibor Auer, Renate Schweizer, Gustavo Pamplona, Ruth A. Lanius, Kirsten Emmert, Seven Haller, Dimitri van de Ville, Dong-Youl Kim, Jong-Hwan Lee, Theo Marins, Fukuda Megumi, Bettina Sorger, Tabea Kamp, Sook-Lei Liew, Ralf Veit, Maartje Spetter, Nikolaus Weiskopf, Frank Scharnowski, David Steyrl
Summary: The study found that conducting a pre-training no-feedback run before neurofeedback training and training patients instead of healthy participants significantly improved neurofeedback performance. This could be due to participants' familiarity with the neurofeedback setup and task, as well as patients having stronger motivation and more extensive clinical piloting. The results provide guidance for designing more efficient neurofeedback studies specifically for clinical interventions.
Article
Neurosciences
Zhiying Zhao, Shuxia Yao, Jana Zweerings, Xinqi Zhou, Feng Zhou, Keith M. Kendrick, Huafu Chen, Klaus Mathiak, Benjamin Becker
Summary: Real-time fMRI guided neurofeedback training is a noninvasive brain regulation technique with potential therapeutic applications, which can modulate functional brain alterations. By pooling data from three datasets, it was found that gray matter volume of the right putamen could predict learning success in neurofeedback training.
HUMAN BRAIN MAPPING
(2021)
Article
Neurosciences
Hayley M. Dorfman, Momchil S. Tomov, Bernice Cheung, Dennis Clarke, Samuel J. Gershman, Brent L. Hughes
Summary: The study found that reward prediction errors modulated by causal beliefs are represented in the dorsal striatum, while unmodulated reward prediction errors are represented in the ventral striatum. Further analysis revealed that beliefs about causal structure are represented in the anterior insula and inferior frontal gyrus. Structural equation modeling showed effective connectivity from the anterior insula to the dorsal striatum, suggesting a neural architecture in which causal beliefs are integrated with prediction error signals to update action values.
JOURNAL OF NEUROSCIENCE
(2021)
Article
Neurosciences
Gabriela Vargas, David Araya, Pradyumna Sepulveda, Maria Rodriguez-Fernandez, Karl J. Friston, Ranganatha Sitaram, Wael El-Deredy
Summary: Learning to self-regulate brain activity through neurofeedback has shown to have positive clinical and non-clinical outcomes. However, the neural mechanism of this learning process remains unclear, with only 50% of participants succeeding. This study aims to explore the neural mechanisms of self-regulation learning via neurofeedback and investigate the brain processes associated with successful self-regulation.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Psychology, Biological
Andrea Caria, Alessandro Grecucci
Summary: Research has shown that learned control of metabolic activity in specific brain regions can help regulate emotions. Neurofeedback-based regulation of fMRI activity in emotion-related areas has been found to modify emotional behavior and neural activity in both healthy individuals and those with emotional disorders. However, there is still limited understanding of the neural mechanisms underlying self-regulation of the emotional brain and its relationship with other emotion regulation strategies.
Review
Neurosciences
Giuseppina Ciccarelli, Giovanni Federico, Giulia Mele, Angelica Di Cecca, Miriana Migliaccio, Ciro Rosario Ilardi, Vincenzo Alfano, Marco Salvatore, Carlo Cavaliere
Summary: Neurofeedback (NF) is a biofeedback technique that uses brain activations to modify emotional, cognitive, and behavioral functions. EEG and fMRI are often used separately in NF, but few studies have combined both techniques. This systematic review of 17 EEG-fMRI-NF studies found a lack of homogeneity, making it difficult to draw conclusions about the therapeutic efficacy of NF. More research is needed to fully understand the potential of EEG-fMRI-NF for neurological conditions.
FRONTIERS IN HUMAN NEUROSCIENCE
(2023)
Article
Neurosciences
Maximilian Maywald, Marco Paolini, Boris Stephan Rauchmann, Christian Gerz, Jan Lars Heppe, Annika Wolf, Linda Lerchenberger, Igor Tominschek, Sophia Stoecklein, Paul Reidler, Nadja Tschentscher, Birgit Ertl-Wagner, Oliver Pogarell, Daniel Keeser, Susanne Karch
Summary: This pilot study aimed to investigate whether individualized connectivity-based real-time functional magnetic resonance imaging neurofeedback (rtfMRI NF) training can improve symptoms in depressed patients as an adjunct to psychotherapy. Results showed differences in neural activation levels and connectivity between major depressive disorder (MDD) patients and healthy controls (HC). While rtfMRI NF had an impact on neurobiological mechanisms, it did not significantly affect psychometric measures in MDD patients.
Article
Computer Science, Artificial Intelligence
Jana Zweerings, Kiira Sarasjarvi, Krystyna Anna Mathiak, Jorge Iglesias-Fuster, Fengyu Cong, Mikhail Zvyagintsev, Klaus Mathiak
Summary: This study proposed a novel data-driven analysis approach using intersubject covariance (ISC) analysis for real-time fMRI neurofeedback, investigating the potential of ACC up-regulation. The results indicated that ISC analysis is promising in revealing new information on voluntary self-regulation of brain signals, guiding future neurofeedback and neuroimaging research questions.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Ke Zhang, Yuanqing Li, Jingyu Wang, Erik Cambria, Xuelong Li
Summary: The ERLDK model proposed in this paper uses reinforcement learning and domain knowledge for multimodal emotion recognition in conversational videos, providing real-time capability. The model utilizes history utterances as emotion-pairs to recognize the context of the subsequent utterance. Experimental results demonstrate that ERLDK achieves state-of-the-art performance on weighted average and most specific emotion categories.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2022)
Article
Neurosciences
Kun Il Kim, Wi Hoon Jung, Choong-Wan Woo, Hackjin Kim
Summary: This study investigates the individual variability in context-dependent facial expression estimation and its neural circuitry, providing novel insights into the predictive accounts of affective states.
Article
Neurosciences
Giada Lombardi, Marzio Gerbella, Massimo Marchi, Alessandra Sciutti, Giacomo Rizzolatti, Giuseppe Di Cesare
Summary: This study investigated whether the observation of emotions expressed with different vitality forms activates the same neural structures as those involved in processing cold action vitality forms. The results showed that the observation of emotional and non-emotional laughing conveying different vitality forms activates the insula. Emotional laughing also activates a series of subcortical structures related to emotions. Furthermore, a region of interest analysis revealed a significant modulation of the blood-oxygen-level-dependent (BOLD) signal during the processing of different vitality forms exclusively in the right amygdala, right anterior thalamus/hypothalamus, and periaqueductal gray. In a subsequent electromyography study, a correlation was found between the activity of the zygomatic muscles and the BOLD signal in the right amygdala.
Article
Psychology, Biological
Samantha J. Fede, Mallory A. Kisner, Sarah F. Dean, Mike Kerich, Vinai Roopchansingh, Nancy Diazgranados, Reza Momenan
Summary: Real-time fMRI neurofeedback has shown clinical potential in regulating alcohol craving in individuals with AUD. This study aimed to identify optimal parameters for rt-fMRI-NF-aided craving regulation training. The results suggest that neurofeedback can improve neural regulation and reduce craving. The ROI method outperformed SVM and intermittent feedback approaches.
Article
Education & Educational Research
Michael Detyna, Rodrigo Sanchez-Pizani, Vincent Giampietro, Eleanor J. Dommett, Kyle Dyer
Summary: This article discusses the implementation of HyFlex teaching at King's College London in response to Covid-19 restrictions. It provides insights into the conceptualization and technical factors of this teaching approach, as well as the pedagogical challenges and solutions. The article emphasizes the importance of appropriate training and support for successful implementation.
LEARNING ENVIRONMENTS RESEARCH
(2023)
Article
Neurosciences
Marie-Stephanie Cahart, Owen O'Daly, Vincent Giampietro, Maarten Timmers, Johannes Streffer, Steven Einstein, Fernando Zelaya, Flavio Dell'Acqua, Steven C. R. Williams
Summary: This study compared the reliability of conventional single-band fMRI and different multiband (MB) fMRI acquisitions with and without in-plane acceleration across multiple scanning sessions. It found that for cortical areas, MB factor 4 without in-plane acceleration had the highest reliability, while for subcortical areas, conventional single-band fMRI was more reliable.
HUMAN BRAIN MAPPING
(2023)
Article
Psychology, Developmental
Stella Guldner, Anna S. Sarvasmaa, Herve Lemaitre, Jessica Massicotte, Helene Vulser, Ruben Miranda, Pauline Bezivin-Frere, Irina Filippi, Jani Penttila, Tobias Banaschewski, Gareth J. Barker, Arun L. W. Bokde, Uli Bromberg, Christian Buechel, Patricia J. Conrod, Sylvane Desrivieres, Herta Flor, Vincent Frouin, Juergen Gallinat, Hugh Garavan, Penny Gowland, Andreas Heinz, Frauke Nees, Dimitri Papadopoulos-Orfanos, Michael N. Smolka, Gunter Schumann, Eric Artiges, Marie-Laure Paillere Martinot, Jean-Luc Martinot
Summary: Sleep is crucial for neural maturation and emotion regulation in adolescents, and can have long-term effects on white matter development and affective processing in at-risk individuals. This study examined the relationship between sleep patterns and internalizing problems in adolescents aged 14-19 years. The results showed that increased weekend sleep duration and variability in sleep duration between weekdays and weekends were associated with improved white matter development and decreased internalizing problems. These findings suggest that catch-up sleep on weekends may serve as a protective strategy against the negative effects of insufficient sleep.
DEVELOPMENTAL COGNITIVE NEUROSCIENCE
(2023)
Article
Psychiatry
Vania Tavares, Evangelos Vassos, Andre Marquand, James Stone, Isabel Valli, Gareth J. Barker, Hugo Ferreira, Diana Prata
Summary: This study aimed to predict the transition to psychosis from an At Risk Mental State (ARMS) by using a combination of machine learning, structural magnetic resonance imaging (sMRI), genome-wide genotypes, and environmental risk factors as predictors. The results suggested that none of the modalities alone, namely neuroimaging, genetic data, or environmental data, could predict psychosis from an ARMS statistically better than chance, indicating the need to re-evaluate the value of sMRI data and genome-wide genotypes in predicting psychosis risk.
FRONTIERS IN PSYCHIATRY
(2023)
Review
Medicine, General & Internal
Paris Hosseini, Rebecca Whincup, Karrish Devan, Dory Anthony Ghanem, Jack B. Fanshawe, Aman Saini, Benjamin Cross, Apoorva Vijay, Tomas Mastellari, Umesh Vivekananda, Steven White, Franz Brunnhuber, Michael S. Zandi, Anthony S. David, Ben Carter, Dominic Oliver, Glyn Lewis, Charles Fry, Puja R. Mehta, Biba Stanton, Jonathan P. Rogers
Summary: This study aimed to determine the performance of EEG in determining whether catatonia has a medical or psychiatric cause. The study found that an abnormal EEG predicted a medical cause of catatonia with fair accuracy, but performed poorly in distinguishing psychiatric causes.
Article
Medicine, General & Internal
Jonathan P. Rogers, Michael S. Zandi, Anthony S. David
Summary: Catatonia is a severe syndrome that affects various aspects of human functioning and can be caused by different psychiatric and neurological conditions. The main treatment options are benzodiazepines and/or electroconvulsive therapy, while important investigations may include neuroimaging and assessment for neuronal autoantibodies. However, the guidelines are limited by the lack of high-quality evidence.
Article
Medicine, General & Internal
Cheng Zhang, Shanshan Wei, Yunxia Wang, Kunyao Yu, Zhe Jin, Meng Zhang, Xiaoyu Ma, Chunbo Zhang, Qi Zhang, Kunyan Sun, Peining Zhou, Yijue Zhong, Jing Ma, Jiping Liao, Guangfa Wang
Summary: This study investigated the association between obstructive sleep apnea (OSA) and preserved ratio impaired spirometry (PRISm) in a community population. The findings showed that the prevalence of high-risk OSA, waist-to-hip ratio, current smoking, and nasal allergy symptoms were independently associated with PRISm.
CURRENT MEDICAL RESEARCH AND OPINION
(2023)
Article
Psychiatry
Chengyu Zhang, Suzanne Reeves, Anthony S. David, Harry Costello, Jonathan Rogers
Summary: Psychotic symptoms such as hallucinations and delusions were rare in hospitalized Parkinson's disease patients prior to the use of dopaminergic therapies, but other neuropsychiatric symptoms were more prevalent.
COGNITIVE NEUROPSYCHIATRY
(2023)
Article
Psychology, Experimental
Andrew McWilliams, Hannah Bibby, Nikolaus Steinbeis, Anthony S. David, Stephen M. Fleming
Summary: Metacognition refers to the ability to reflect on and control cognitive processes, and conflicting evidence exists regarding how local and global metacognition change across the lifespan. The study measured local and global metacognition in a sample of 304 healthy volunteers aged 18-83 years. The results showed that overall confidence in performance decreased with age, but local metacognitive efficiency remained stable and correlated across cognitive domains.
Article
Substance Abuse
George Konstantakopoulos, Anna Trova, Elias Tzavellas, Pentagiotissa Stefanatou, Anthony S. David, Thomas Paparrigopoulos
Summary: The study aimed to develop a clinician-rated scale to assess impaired insight in patients with alcohol use disorder and examine its reliability and validity. The Schedule for the Assessment of Insight in Alcohol Dependence (SAI-AD) showed good convergent validity and internal consistency. Three subscales were identified, measuring different components of insight.
DRUG AND ALCOHOL DEPENDENCE
(2023)
Article
Clinical Neurology
Jonathan P. Rogers, Michael K. L. Chou, Thomas A. Pollak, Michael Eyre, Maria Krutikov, Andrew Church, Melanie S. Hart, Abid Karim, Sophia Michael, Angela Vincent, Anthony S. David, Glyn Lewis, Saiju Jacob, Michael S. Zandi
JOURNAL OF NEUROLOGY
(2023)
Article
Clinical Neurology
Ludmila Kucikova, Jianmin Zeng, Carlos Munoz-Neira, Graciela Muniz-Terrera, Weijie Huang, Sarah Gregory, Craig Ritchie, John O'Brien, Li Su
Summary: The study found that genetic risk factors such as APOEe4 and MAPTA alleles are associated with decreased functional connectivity in the Default Mode Network (DMN) in early adulthood. Furthermore, APOEe4 carriers showed a correlation between connectivity and cognitive performance.
JOURNAL OF NEUROLOGY
(2023)
Review
Clinical Neurology
Sheharyar S. Baig, Marharyta Kamarova, Simon M. Bell, Ali N. Ali, Li Su, Munya Dimairo, Jesse Dawson, Jessica N. Redgrave, Arshad Majid
Summary: This review summarizes the current evidence for transcutaneous vagus nerve stimulation (tVNS) in the field of stroke, from preclinical models to clinical trials. The mechanisms involved in the beneficial effects of tVNS are highlighted. The key research areas required to translate tVNS into clinical practice in acute and chronic stroke are critically evaluated.
Article
Psychology, Clinical
Simone Farrelly, Emmanuelle Peters, Matilda Azis, Anthony S. David, Elaine C. M. Hunter
Summary: This study aimed to investigate the feasibility and acceptability of a six-session therapy protocol adapted from a Cognitive-Behavioural model of Depersonalisation-Derealisation Disorder (DDD) in individuals with psychotic symptoms. The results suggest that the intervention was feasible and acceptable to participants, with some indication of its effectiveness on clinical outcomes.
JOURNAL OF BEHAVIOR THERAPY AND EXPERIMENTAL PSYCHIATRY
(2024)
Article
Neuroimaging
Diede Fennema, Gareth J. Barker, Owen O'Daly, Suqian Duan, Ewan Carr, Kimberley Goldsmith, Allan H. Young, Jorge Moll, Roland Zahn
Summary: This study shows that neural signatures of self-blame are relevant for stratification of current treatment-resistant MDD. Future studies need to confirm whether this neural feature represents a trait-like feature of a fully remitting subtype of MDD, or whether it is also modulated by depressive state and related to treatment effects.
NEUROIMAGE-CLINICAL
(2023)