Matias Palva

Associate Professor
Associate Professor
T314 Dept. Neuroscience and Biomedical Engineering

Matias Palva group studies the systems-level neuronal mechanisms of emergent neuronal and behavioral dynamics.

Spontaneous brain activity fluctuates in time scales spanning at least across five orders of magnitude. These fluctuations have also been observed on all studied spatial scales and they are statistically governed by spatio-temporal power-laws.

Such a scale-free organization at a macroscopic level is, however, contrasted by salient scale-specific neuronal activities - neuronal oscillations. Our research addresses the functional significance of scale-free and scale-specific brain dynamics in human sensory perception, cognitive performance, and motor output.

We have developed methods for MEG/EEG source reconstruction, optimized cortical parcellations, and quantification of neuronal/behavioral scaling-laws as well as for the mapping of dynamic neuronal interaction networks from invasive and non-invasive electrophysiological recordings of human brain activity. We are also in the process of translating our data management, analysis, and visualization platform into a more easily shareable python package.

Our three main research lines are 1. Assessing the functional roles of brain criticality and connectivity in human cognition by using MEG/EEG and SEEG based connectomes of neuronal couplings and "dynomes" of spatio-temporal dynamics. We are also performing simulations of brain dynamics and utilize several lines of interventional approaches, from electric and magnetic brain stimulation to cognitive training. 2. Identifying the roles of dysconnectivity and dysdynamics in mental disorders such as depression, anxiety, ADHD and schizophrenia, with the major depressive disorder being our main research focus. 3. Developing neuroplasticity-recruiting cognitive training methods for targeted alterations of cortical connectivity and dynamics.

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Aivodynamiikan häiriöt (masennus, epilepsia, SDHD, skitsofrenia), Aivojen toiminta, Tietokonepelit masennuksen hoidossa


Modules in connectomes of phase-synchronization comprise anatomically contiguous, functionally related regions

N. Williams, S. H. Wang, G. Arnulfo, L. Nobili, S. Palva, J. M. Palva 2023 NeuroImage

Genetic polymorphisms in COMT and BDNF influence synchronization dynamics of human neuronal oscillations

Jaana Simola, Felix Siebenhühner, Vladislav Myrov, Katri Kantojärvi, Tiina Paunio, J. Matias Palva, Elvira Brattico, Satu Palva 2022 iScience

Phase-Based Cortical Synchrony Is Affected by Prematurity

Pauliina Yrjola, Susanna Stjerna, J. Matias Palva, Sampsa Vanhatalo, Anton Tokariev 2022 Cerebral Cortex

Detrended fluctuation analysis in the presurgical evaluation of parietal lobe epilepsy patients

Sami Auno, Leena Lauronen, Juha Wilenius, Maria Peltola, Sampsa Vanhatalo, J. Matias Palva 2021 Clinical Neurophysiology

Long range temporal correlations (LRTCs) in MEG-data during emerging psychosis

Gabriela Cruz, Tineke Grent-'t-Jong, Rajeev Krishnadas, J. Matias Palva, Satu Palva, Peter J. Uhlhaas 2021 NeuroImage: Clinical

Reduced evoked activity and cortical oscillations are correlated with anisometric amblyopia and impairment of visual acuity

Hanna Julku, Santeri Rouhinen, Henri J. Huttunen, Laura Lindberg, Johanna Liinamaa, Ville Saarela, Elina Karvonen, Sigrid Booms, Jyrki P. Mäkelä, Hannu Uusitalo, Eero Castrén, J. Matias Palva, Satu Palva 2021 Scientific Reports

Long-range phase synchronization of high-frequency oscillations in human cortex

G. Arnulfo, S. H. Wang, V. Myrov, Benedetta Toselli, Jonni Hirvonen, M. M. Fato, L. Nobili, F. Cardinale, Annalisa Rubino, A. Zhigalov, S. Palva, J. M. Palva 2020 Nature Communications

Neuronal correlates of full and partial visual conscious perception

Hamed Haque, Muriel Lobier, J. Matias Palva, Satu Palva 2020 Consciousness and Cognition

Influence of multiple hypothesis testing on reproducibility in neuroimaging research

Tuomas Puoliväli, Satu Palva, J. Matias Palva 2020 Journal of Neuroscience Methods

Spectral and Anatomical Patterns of Large-Scale Synchronization Predict Human Attentional Capacity

Santeri Rouhinen, Felix Siebenhühner, J. Matias Palva, Satu Palva 2020 Cerebral cortex (New York, N.Y. : 1991)