Article
Neurosciences
Francesca Castaldo, Francisco Pascoa dos Santos, Ryan C. Timms, Joana Cabral, Jakub Vohryzek, Gustavo Deco, Mark Woolrich, Karl Friston, Paul Verschure, Vladimir Litvak
Summary: Existing whole-brain models are tailored to specific data modalities, but we propose that they originate from shared network dynamics. To link distinct features of brain activity across modalities, we consider two large-scale models and compare them against real data. Both models can represent functional connectivity and generate oscillatory modes, demonstrating the importance of balanced dynamics and delays.
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
Neurosciences
Davide Tabarelli, Arianna Brancaccio, Christoph Zrenner, Paolo Belardinelli
Summary: Alpha is the main rhythm in the human electroencephalogram, and its functional coupling patterns are still not well understood. This study demonstrates that connectivity patterns between different cortical generators during rest are dependent on the brain state.
Article
Neurosciences
Dmitrii Altukhov, Daria Kleeva, Alexei Ossadtchi
Summary: Functional connectivity is important for cognitive processes and can indicate neurological conditions. The PSIICOS method is introduced in this paper to suppress volume conduction effect and retain information about networks with zero or close to zero-phase coupling. The use of this method in connectivity estimation opens up new opportunities for principled estimators.
Article
Multidisciplinary Sciences
Guofa Shou, Han Yuan, Yoon-Hee Cha, John A. Sweeney, Lei Ding
Summary: This study investigated age-related changes in whole-brain dynamics using resting-state electroencephalography (EEG) signals. The results showed that with increasing age, there were reduced stability and increased fluctuations when visiting high-energy brain states, and a bias towards staying low-energy brain states. These findings have important implications for studying normal healthy brain aging, brain development, and brain disease.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Biomedical
Ting Wang, Jianpeng Tang, Chenghao Wang, Donghui Yang, Jingqi Li, Wanzeng Kong, Xugang Xi
Summary: Music is widely used in neurorehabilitation for the recovery of motor function and emotional regulation. This study explores the effects of music stimuli on brain functional connectivity and corticomuscular coupling through physiological electrical signal analysis.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Neurosciences
Avraam D. Marimpis, Stavros Dimitriadis, Rainer Goebel
Summary: Despite recent progress in neuroimaging data analysis, our understanding of human brain cognition and function is still incomplete. Network neuroscience aims to address this by modeling brain structure and function through a network of brain regions. The use of dynamic functional networks and advanced algorithms can capture time-varying properties of functional connectivity, leading to new insights into the complexity of the human brain.
HUMAN BRAIN MAPPING
(2021)
Article
Neurosciences
Sanjay Ghosh, Ashish Raj, Srikantan S. Nagarajan
Summary: This article introduces a computational framework that reconstructs functional connectivity from structural connectivity by identifying a joint subspace of eigenmodes. It is found that a small number of these eigenmodes are sufficient for reconstruction and the proposed algorithm shows competitive performance and better interpretability compared to existing methods.
Article
Multidisciplinary Sciences
Tal Sharf, Tjitse van der Molen, Stella M. K. Glasauer, Elmer Guzman, Alessio P. Buccino, Gabriel Luna, Zhuowei Cheng, Morgane Audouard, Kamalini G. Ranasinghe, Kiwamu Kudo, Srikantan S. Nagarajan, Kenneth R. Tovar, Linda R. Petzold, Andreas Hierlemann, Paul K. Hansma, Kenneth S. Kosik
Summary: Brain organoids can replicate the cellular organization found in the developing human brain, and by utilizing microelectronics, functional circuits can be assembled to mirror the complexity of brain networks. This study explores the physiology of neuronal circuits within brain organoids and how they can be influenced by external stimuli. The results suggest that brain organoids have the potential to be used in studying neuropsychiatric diseases, drug action, and the effects of external stimuli on neuronal networks.
NATURE COMMUNICATIONS
(2022)
Article
Neurosciences
Sepideh Sadaghiani, Matthew J. Brookes, Sylvain Baillet
Summary: The paper presents a scientific overview and conceptual positions on the challenges and benefits of electrophysiological measurements in understanding the human connectome. It emphasizes the importance of electrophysiological signals, current data modalities, and analytical methods. Furthermore, it encourages the field to embrace the complexity of electrophysiological signals and develop testable mechanistic models for information integration in hierarchical brain networks.
Article
Biology
Rikkert Hindriks, Prejaas K. B. Tewarie
Summary: Mathematical analysis and simulations of empirical magnetoencephalography (MEG) data show that power correlation networks better mirror haemodynamic resting-state networks than phase coupling networks in electrophysiological data. The power correlation of non-Gaussian electrophysiological signals depends on their coherence, cokurtosis, and conjugate-coherence. Cokurtosis contributes to power correlation networks and may reflect co-occurrent bursting events in neuronal activity.
COMMUNICATIONS BIOLOGY
(2023)
Article
Neurosciences
Marcus Siems, Johannes Tuennerhoff, Ulf Ziemann, Markus Siegel
Summary: The study developed a novel unsupervised multistage analysis approach and successfully compared changes in brain-wide electrophysiological coupling between Multiple Sclerosis patients and healthy controls, achieving an accuracy of 84% in classifying patients and controls.
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.
Article
Neurosciences
Jose Sanchez-Bornot, Roberto C. Sotero, J. A. Scott Kelso, Ozguer Simsek, Damien Coyle
Summary: This study proposes a multi-penalized state-space model for analyzing unobserved dynamics, using a data-driven regularization method. Novel algorithms are developed to solve the model, and a cross-validation method is introduced to evaluate regularization parameters. The effectiveness of this method is validated through simulations and real data analysis, enabling a more accurate exploration of cognitive brain functions.
Article
Neurosciences
Megan Godfrey, Krish D. Singh
Summary: The study utilized MRVE to investigate dynamic signal variability across different time scales and compared the connectivity patterns at different scales. It was found that MRVE and AEC methods showed similarity in connectivity patterns at different temporal scales, with the most consistent patterns between participants seen in MRVE correlation at f(s) = 75Hz and AEC in the beta band.
Article
Psychiatry
Maritta Valimaki, Min Yang, Yuen Ting Joyce Lam, Tella Lantta, Matias Palva, Satu Palva, Benjamin Yee, Siu Hung Yip, Kin-sun Dan Yu, Hing Chiu Charles Chang, Po Yee Ivy Cheng, Daniel Bressington
Summary: This study aims to test the effectiveness of two interventions with gaming elements in improving cognitive and clinical outcomes among patients with schizophrenia. Conducted in outpatient psychiatric services in Hong Kong, the research will recruit 234 participants aged 18-60 diagnosed with schizophrenia.
Article
Multidisciplinary Sciences
Hanna Julku, Santeri Rouhinen, Henri J. Huttunen, Laura Lindberg, Johanna Liinamaa, Ville Saarela, Elina Karvonen, Sigrid Booms, Jyrki P. Makela, Hannu Uusitalo, Eero Castren, J. Matias Palva, Satu Palva
Summary: In patients with anisometric amblyopia, oscillation amplitudes and evoked responses are reduced when stimuli are presented to the amblyopic eye in higher-order visual areas, parietal and prefrontal cortices. Importantly, the reduction of oscillation amplitudes is correlated with decreased visual acuity in amblyopia.
SCIENTIFIC REPORTS
(2021)
Article
Biochemistry & Molecular Biology
Frederike Winkel, Maria Ryazantseva, Mathias B. Voigt, Giuliano Didio, Antonia Lilja, Maria Llach Pou, Anna Steinzeig, Juliana Harkki, Jonas Englund, Stanislav Khirug, Claudio Rivera, Satu Palva, Tomi Taira, Sari E. Lauri, Juzoh Umemori, Eero Castren
Summary: Activation of TrkB neurotrophin receptors in parvalbumin-positive (PV) interneurons regulates plasticity states and cortical networks, mediating antidepressant responses in the adult brain. TrkB activation in PV interneurons promotes a state of elevated cortical network plasticity, increasing excitatory-inhibitory balance and promoting ocular dominance plasticity.
MOLECULAR PSYCHIATRY
(2021)
Article
Neurosciences
Pauliina Yrjola, Susanna Stjerna, J. Matias Palva, Sampsa Vanhatalo, Anton Tokariev
Summary: Inter-areal synchronization of cortical oscillations by phase-phase correlations (PPCs) plays a crucial role in higher neurocognitive functions. Prematurity affects these PPC networks in a sleep state-specific and frequency-selective manner, resulting in differences in brain-wide connections. The strength of synchronization in these networks can predict clinical outcomes in preterm infants, providing potential early functional biomarkers for later neurodevelopmental compromise.
Article
Neurosciences
Irina Anurova, Svetlana Vetchinnikova, Aleksandra Dobrego, Nitin Williams, Nina Mikusova, Antti Suni, Anna Mauranen, Satu Palva
Summary: This study investigated the neural correlates of chunk boundaries in natural speech using MEEG. The results showed that chunk boundaries elicited closure positive shifts, while pauses within a chunk elicited biphasic emitted potentials. Furthermore, stronger boundaries resulted in earlier and more prominent activation in the left hemisphere.
Editorial Material
Neurosciences
Marianna Semprini, Gabriele Arnulfo, Ioannis Delis, Felix Siebenhuhner, Gianluca Susi
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Multidisciplinary Sciences
Jaana Simola, Felix Siebenhuhner, Vladislav Myrov, Katri Kantojarvi, Tiina Paunio, J. Matias Palva, Elvira Brattico, Satu Palva
Summary: Genetic polymorphisms in neuromodulatory genes, such as COMT and BDNF, contribute to inter-individual variability in neuronal oscillation dynamics. These polymorphisms influence local oscillation amplitudes, temporal correlations, and large-scale synchronization, with the modulation of excitation-inhibition balance playing a role in their effects.
Article
Neurosciences
N. Williams, S. H. Wang, G. Arnulfo, L. Nobili, S. Palva, J. M. Palva
Summary: Modules in brain functional connectomes, identified through invasive SEEG recordings, play a crucial role in balancing segregation and integration of neuronal activity. These modules are characterized by distinct and stable patterns of phase-synchronization at multiple spatial scales and across frequencies. They consist of anatomically contiguous cortical regions involved in sensorimotor and cognitive functions, such as memory, language, and attention.
Article
Multidisciplinary Sciences
L. Bonetti, S. E. P. Bruzzone, T. Paunio, K. Kantojarvi, M. Kliuchko, P. Vuust, S. Palva, E. Brattico
Summary: Auditory predictive processing depends on the interaction of environmental, neurophysiological, and genetic factors. This study investigated the impact of musical training and BDNF gene on the neural adaptations of the auditory system. The Val66Met SNP in the BDNF gene was found to be associated with neuroplasticity of the auditory cortex.
Article
Multidisciplinary Sciences
Marco Fusca, Felix Siebenhuhner, Sheng H. H. Wang, Vladislav Myrov, Gabriele Arnulfo, Lino Nobili, J. Matias Palva, Satu Palva
Summary: This study suggests that variability in long-range synchronization between brain regions can be explained by an individual's position along the critical transition between order and disorder. Neuronal oscillations and synchronization are essential for healthy brain function, and the variability in synchronization is associated with behavioral variability. Computational modeling shows that synchronization is dependent on brain criticality, and these results demonstrate the importance of the individual's position along the critical transition for synchronization levels.
NATURE COMMUNICATIONS
(2023)
Article
Health Care Sciences & Services
Lauri Lukka, Matias Palva
Summary: Game elements are increasingly used to improve user engagement in digital mental health interventions, but there are only a few commercial game-based interventions available. There are three approaches currently used to negotiate the tension between health care and entertainment paradigms. An integrative framework is proposed to facilitate the development of game-based digital mental health interventions.
JMIR SERIOUS GAMES
(2023)
Article
Health Care Sciences & Services
Lauri Lukka, Veli-Matti Karhulahti, J. Matias Palva
Summary: This study aimed to understand how mental health professionals (MHPs) use different digital tools in clinical client practice and describe their usage patterns. The study found that MHPs use digital tools for communication, diagnosis and evaluation, and facilitating therapeutic change. The usage of digitized and digital tools varied among MHPs, challenging the scalability benefits of digital tools.
JMIR HUMAN FACTORS
(2023)
Article
Neuroimaging
Gabriela Cruz, Tineke Grent-'t-Jong, Rajeev Krishnadas, J. Matias Palva, Satu Palva, Peter J. Uhlhaas
Summary: The study found that participants from the clinical groups had similar LRTCs to controls, with no correlation between LRTCs and clinical or neurocognitive variables or prediction of transition to psychosis. However, medicated FEP participants showed reduced LRTCs at the onset of the illness, indicating altered LRTCs may appear early in the disease. Further research is needed to understand the role of antipsychotic medication in altered LRTCs.
NEUROIMAGE-CLINICAL
(2021)
Article
Neurosciences
Jose Sanchez-Bornot, Roberto C. Sotero, J. A. Scott Kelso, Ozguer Simsek, Damien Coyle
Summary: This study proposes a multi-penalized state-space model for analyzing unobserved dynamics, using a data-driven regularization method. Novel algorithms are developed to solve the model, and a cross-validation method is introduced to evaluate regularization parameters. The effectiveness of this method is validated through simulations and real data analysis, enabling a more accurate exploration of cognitive brain functions.
