Article
Neurosciences
Murray Bruce Reed, Manfred Klobl, Godber Mathis Godbersen, Patricia Anna Handschuh, Vera Ritter, Benjamin Spurny-Dworak, Jakob Unterholzner, Christoph Kraus, Gregor Gryglewski, Dietmar Winkler, Rene Seiger, Thomas Vanicek, Andreas Hahn, Rupert Lanzenberger
Summary: This study examined the impact of SSRI antidepressants on neuroplasticity in healthy volunteers. The results indicate that SSRI intake can alter effective connections between certain brain regions, without significantly affecting intrinsic or resting-state connections.
Article
Neurosciences
Davide Aloi, Roya Jalali, Penelope Tilsley, R. Chris Miall, Davinia Fernandez-Espejo
Summary: Research using tDCS intervention in long-term PDOC patients successfully altered dynamic coupling between brain regions. The results indicate that M1-tDCS and cb-tDCS can improve patients' motor deficits, enhancing rehabilitation options and quality of life.
Article
Neuroimaging
Malek Abidi, Pierre-Francois Pradat, Nicolas Termoz, Annabelle Couillandre, Peter Bede, Giovanni de Marco
Summary: In this study, the gait imagery-specific networks in ALS patients were assessed using dynamic causal modeling (DCM) and parametric empirical Bayes (PEB) framework. The results showed that UMNp patients had a significant increase in imagery time compared to healthy controls and LMNp patients. During precision gait, the connectivity in UMNp group decreased while the LMNp group showed enhanced bilateral connectivity. The findings highlight the differences in network connectivity patterns in different ALS patient phenotypes.
NEUROIMAGE-CLINICAL
(2022)
Article
Neurosciences
Theresa Paul, Lukas Hensel, Anne K. Rehme, Caroline Tscherpel, Simon B. Eickhoff, Gereon R. Fink, Christian Grefkes, Lukas J. Volz
Summary: Studies have shown that motor impairment post-stroke can be explained by functional reorganization of the motor network and connectivity status. Similar changes in ipsilesional and interhemispheric connectivity may reflect similar aspects of information integration. Furthermore, motor impairment is more likely determined by state-independent mechanisms of the motor network.
HUMAN BRAIN MAPPING
(2021)
Article
Neurosciences
Alessandro Crimi, Luca Dodero, Fabio Sambataro, Vittorio Murino, Diego Sona
Summary: This paper proposes a constrained autoregressive model to understand how brain structure modulates function and discover novel biomarkers. The model includes indirect connections and can be used with raw and deconvoluted BOLD signal, showing results closer to reality.
Article
Neurosciences
Nihong Chen, Hailin Ai, Xincheng Lu
Summary: Using fMRI, this study investigates the background connectivity between the pulvinar and V1 in relation to focused and diffused attention allocation. The findings suggest that focused attention enhances the correlations between the pulvinar and V1, with the modulation initiated by the pulvinar and dependent on the saliency of the target. This study reveals the role of the pulvinar in information reweighting for attentional selection in cluttered scenes.
Article
Neurosciences
Yae Won Tak, Ethan Knights, Richard Henson, Peter Zeidman
Summary: The study found that with age, connectivity from contralateral brain areas to the ipsilateral primary motor cortex becomes more positive, influencing the BOLD responses. Hemodynamic parameters were not able to explain the age-related shift from negative to positive BOLD.
Article
Neurosciences
Sarah V. Di Pietro, David Willinger, Nada Frei, Christina Lutz, Seline Coraj, Chiara Schneider, Philipp Staempfli, Silvia Brem
Summary: Altered brain connectivity between regions of the reading network is associated with reading difficulties. This study aimed to investigate whether these connectivity differences are specific to reading impairments or reading experience in children with dyslexia (DYS) and those with typical reading skills (TR). The findings suggest that altered feedback connectivity between the inferior parietal lobule and the visual word form area (VWFA) during print processing is specific to reading impairments, while feedforward connectivity from VWFA to parietal and frontal regions characterizes reading experience and increases with age and reading skill in typical readers (TR).
Article
Neurosciences
Hae-Jeong Park, Jinseok Eo, Chongwon Pae, Junho Son, Sung Min Park, Jiyoung Kang
Summary: This study introduces a method to explore the state-dependent effective connectivity in the resting-state functional MRI, showing differences between ADHD-C and typically developed children, highlighting the importance of excitation inhibition balance in subtyping.
FRONTIERS IN NEURAL CIRCUITS
(2021)
Article
Neurosciences
Massimo Lumaca, Martin J. Dietz, Niels Chr Hansen, David R. Quiroga-Martinez, Peter Vuust
Summary: This study used fMRI data to investigate the modulation of brain connectivity during the perceptual learning of complex tone patterns. The results showed that complex oddball paradigms elicited different brain responses compared to simple deviant tones, indicating that complex auditory sequence learning can affect brain connectivity.
HUMAN BRAIN MAPPING
(2021)
Article
Multidisciplinary Sciences
Dipanjan Ray, Dmitry Bezmaternykh, Mikhail Mel'nikov, Karl J. Friston, Moumita Das
Summary: Functional neuroimaging research in depression traditionally focused on neural networks related to psychological aspects, but this study investigated sensorimotor alterations. Results showed that effective connectivity patterns differ in sensory and motor cortices in depression, with changes reflecting symptom severity and response to treatment.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Neuroimaging
R. Randeniya, I. Vilares, J. B. Mattingley, M. I. Garrido
Summary: Sensory perceptual alterations in autism may result from differences in sensory observation or in forming models of the environment, leading to increased bottom-up information flow relative to top-down control. A study using fMRI during a decision-under-uncertainty paradigm found no differences in task performance and representations of prior and likelihood between autistic individuals and neurotypicals. However, there were significant group differences in overall task activity, with autistic individuals showing increased activation in certain brain regions. Effective connectivity analysis revealed increased activity within sensory regions and increased bottom-up connectivity in autism. These findings support the hypothesis of increased bottom-up information flow during sensory learning tasks in autism.
NEUROIMAGE-CLINICAL
(2023)
Article
Mathematics, Applied
Sofia Morena del Pozo, Helmut Laufs, Vincent Bonhomme, Steven Laureys, Pablo Balenzuela, Enzo Tagliazucchi
Summary: The study found that loss of consciousness reconfigures network flexibility and reduces the size of the core region, providing support for the dynamic core hypothesis.
Article
Neurosciences
Jorge Bosch-Bayard, Rolando J. Biscay, Thalia Fernandez, Gloria A. Otero, Josefina Ricardo-Garcell, Eduardo Aubert-Vazquez, Alan C. Evans, Thalia Harmony
Summary: This study describes the maturation of EEG effective connectivity in healthy infants during the first year of life. The results show that initially, the highest indices of connectivity are in the subcortical nuclei and then expand to other brain regions, consistent with the myelination process. As age increases, connectivity mainly increases in the right hemisphere and decreases in the left hemisphere. There is an increase in connectivity in the right hemisphere for frequencies between 20 to 30 Hz. Theta and alpha connections show the greatest changes with age, consistent with behavioral development in infants.
Article
Biology
Ali Kareem Abbas, Ghasem Azemi, Sajad Amiri, Samin Ravanshadi, Amir Omidvarnia
Summary: This study developed a method for estimating effective connectivity in brain networks using transfer entropy as an information transfer measure. Differences in directed information transfer patterns between children with ADHD and healthy controls were observed, particularly in the beta-band. The developed methodology shows potential for investigating patterns of directed brain networks in neuropsychiatric disorders.
COMPUTERS IN BIOLOGY AND MEDICINE
(2021)
Review
Neurosciences
Maximilian J. Wessel, Laurijn R. Draaisma, Friedhelm C. Hummel
Summary: This narrative review summarizes current studies employing the cerebellar transcranial alternating current stimulation technique (CB-tACS) and discusses open research questions. CB-tACS may contribute to the understanding of cerebellar oscillatory signatures and their role in motor, cognitive, or affective functions. In the long term, CB-tACS could develop into a therapeutic tool for retuning disturbed oscillatory activity in cerebellar networks underlying brain disorders.
Article
Neurosciences
Takuya Morishita, Jan E. Timmermann, Robert Schulz, Friedhelm C. Hummel
Summary: This study examined the behavioral relevance of interhemispheric inhibition (IHI) for bimanual movement control in different age groups. The results showed that individuals with better bimanual movement control in the young group had larger short-latency IHI, while this association was not observed in the older group. This suggests that short-latency IHI may serve as a neurophysiological marker for the ability to suppress activity of the contralateral side in efficient bimanual movement control.
EXPERIMENTAL BRAIN RESEARCH
(2022)
Article
Rehabilitation
Lina Daghsen, Lisa Fleury, Justine Bouvier, Chiara Zavanone, Sophie Dupont, Friedhelm Christoph Hummel, Charlotte Rosso
Summary: The objective of this study was to create a shortened version of the Action Research Arm Test scale, investigate its psychometric properties compared to the original scale, and externally validate it within an independent cohort. The results showed that the Mini-ARAT is a time-effective tool that accurately captures the dynamics of motor deficits and provides important information for clinical and research purposes.
CLINICAL REHABILITATION
(2022)
Editorial Material
Neurosciences
Thomas Carsten, Gerard Derosiere, Maximilian J. Wessel, Friedhelm C. Hummel, Julie Duque
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Engineering, Biomedical
Claudia Bigoni, Andeol Cadic-Melchior, Pierre Vassiliadis, Takuya Morishita, Friedhelm C. Hummel
Summary: This article presents a novel open-source algorithm for automated detection of motor evoked potential (MEP) latencies. The algorithm utilizes the first derivative of the post-stimulus electromyography signal to accurately identify the initial deflection of the MEP. Benchmarking tests using intra-class correlation coefficient (ICC) and effect sizes show that the algorithm performs comparably to human expert detection and outperforms currently available methods. The algorithm provides a promising approach for automated MEP latency detection under physiological and pathophysiological conditions.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Engineering, Biomedical
Claudia Bigoni, Andeol Cadic-Melchior, Takuya Morishita, Friedhelm C. Hummel
Summary: This study investigated the effects of different signal processing pipelines on brain-state forecasting approaches. The grid-search method was used to identify the most optimal preprocessing parameters and phase-forecasting algorithms. The results showed that different processing pipelines led to different results, and the chosen pipelines significantly increased the accuracy of forecasting methods. The successful results in stroke patients indicate the potential of state-dependent interventional treatment approaches.
JOURNAL OF NEURAL ENGINEERING
(2023)
Article
Neurosciences
Manon Durand-Ruel, Chang-hyun Park, Maeva Moyne, Pablo Maceira-Elvira, Takuya Morishita, Friedhelm C. Hummel
Summary: This study examined the brain dynamics of healthy older adults during motor skill learning and found that increased activation in secondary motor and associative areas accompanied practice, while visual and frontal areas were less recruited. Faster execution relied on parietal areas and inversely associated with frontal activation, whereas accuracy was related to activation in primary and secondary motor areas.
Article
Clinical Neurology
Giorgia G. Evangelista, Philip Egger, Julia Bruegger, Elena Beanato, Philipp J. Koch, Martino Ceroni, Lisa Fleury, Andeol Cadic-Melchior, Nathalie H. Meyer, Diego de Leon Rodriguez, Gabriel Girard, Bertrand Leger, Jean-Luc Turlan, Andreas Muehl, Philippe Vuadens, Jan Adolphsen, Caroline E. Jagella, Christophe Constantin, Vincent Alvarez, Diego San Millan, Christophe Bonvin, Takuya Morishita, Maximilian J. Wessel, Dimitri Van De Ville, Friedhelm C. Hummel
Summary: This study investigates the correlation between brain network connectivity and deficits in different domains in stroke patients. It finds that attentional deficits are more sensitive to disruption of coordinated networks, while motor deficits are more sensitive to disruption of localized networks. This study is of great importance for understanding stroke mechanisms.
Article
Clinical Neurology
Lauranne Scheldeman, Anke Wouters, Jeroen Bertels, Patrick Dupont, Bastian Cheng, Martin Ebinger, Matthias Endres, Jochen B. Fiebach, Christian Gerloff, Keith W. Muir, Norbert Nighoghossian, Salvador Pedraza, Claus Z. Simonsen, Vincent Thijs, Goetz Thomalla, Robin Lemmens
Summary: The study aims to investigate the reversibility of diffusion-weighted imaging (DWI) lesions and its association with thrombolysis, reperfusion, and functional outcomes. It found that reversibility of DWI lesions is common in patients from the WAKE-UP trial, and it is more pronounced after thrombolysis.
Article
Multidisciplinary Sciences
Diego Milardovich, Victor H. Souza, Ivan Zubarev, Sergei Tugin, Jaakko O. Nieminen, Claudia Bigoni, Friedhelm C. Hummel, Juuso T. Korhonen, Dogu B. Aydogan, Pantelis Lioumis, Nima Taherinejad, Tibor Grasser, Risto J. Ilmoniemi
Summary: The study developed a deep learning-based algorithm, DELMEP, to automate the estimation of motor evoked potentials (MEPs) latency. The algorithm has low computational cost, allowing real-time MEP characterization, and shows high accuracy. This makes it a promising option for artificial intelligence-based personalized clinical applications.
SCIENTIFIC REPORTS
(2023)
Article
Multidisciplinary Sciences
Jasmine Herszage, Marlene Bonstrup, Leonardo G. Cohen, Nitzan Censor
Summary: Abundant evidence suggests that consolidated memories can be modified after reactivation. This study explores whether motor skill memories can be modified after brief reactivations, even at the early stages of learning. The results indicate that memories formed during early learning are not susceptible to interference or enhancement within a rapid reactivation-induced time window, suggesting that reactivation-induced motor skill memory modulation may depend on longer timescales of consolidation.
SCIENTIFIC REPORTS
(2023)
Article
Clinical Neurology
Fabienne Windel, Remy Marc M. Gardier, Gaspard Fourchard, Roser Vinals, Daphne Bavelier, Frank Johannes Padberg, Elmars Rancans, Omer Bonne, Mor Nahum, Jean-Philippe Thiran, Takuya Morishita, Friedhelm Christoph Hummel
Summary: This study introduces an easy-to-use digital tool to support patients for self-application of non-invasive brain stimulation (NIBS) at home. The results demonstrate that the tool improves accuracy of electrode placement and provides positive user experience. This research supports the feasibility of correct NIBS self-application in home-based settings.
CLINICAL NEUROPHYSIOLOGY
(2023)
Article
Neurosciences
Maximilian J. Wessel, Elena Beanato, Traian Popa, Fabienne Windel, Pierre Vassiliadis, Pauline Menoud, Valeriia Beliaeva, Ines R. Violante, Hedjoudje Abderrahmane, Patrycja Dzialecka, Chang-Hyun Park, Pablo Maceira-Elvira, Takuya Morishita, Antonino M. Cassara, Melanie Steiner, Nir Grossman, Esra Neufeld, Friedhelm C. Hummel
Summary: This study demonstrates the successful noninvasive neuromodulation of the striatum using tTIS, which enhances motor performance by increasing activity in the striatum and associated motor network. This has important implications for understanding the functional role of deep brain structures and developing noninvasive treatment strategies for brain disorders related to these structures.
NATURE NEUROSCIENCE
(2023)
Article
Medicine, Research & Experimental
Claudia Bigoni, Elena Beanato, Sylvain Harquel, Julie Herve, Meltem Oflar, Andrea Crema, Arnau Espinosa, Giorgia G. Evangelista, Philipp Koch, Christophe Bonvin, Jean-Luc Turlan, Adrian Guggisberg, Takuya Morishita, Maximilian J. Wessel, Sarah B. Zandvliet, Friedhelm C. Hummel
Summary: This study aims to improve upper-limb impairment in stroke patients through a personalized-dosage cumulative intervention that combines various non-invasive neurotechnologies. The first patient in the study showed significant improvement in upper-limb movements and changes in brain structure and function. These promising results suggest the feasibility, safety, and potential efficacy of this personalized approach, and integrating multi-modal data may provide predictive information regarding treatment response and outcomes.
Article
Neurosciences
M. J. Wessel, L. R. Draaisma, M. Durand-Ruel, P. Maceira-Elvira, M. Moyne, J. -l. Turlan, A. Muhl, L. Chauvigne, P. J. Koch, T. Morishita, A. G. Guggisberg, F. C. Hummel
Summary: Impairment of hand motor function is common after a stroke and affects the ability to regain independent living. Combining behavioral training and non-invasive brain stimulation of the motor cortex can improve motor deficits. This study tested a novel approach by targeting the cortico-cerebellar system during learning. The application of this targeted stimulation strategy enhanced motor behavior during the early training phase in stroke survivors.