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.

Group website:

Full researcher profile

Areas of expertise

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


Strengthening of alpha synchronization is a neural correlate of cognitive transfer

Julia Ericson, Satu Palva, Matias Palva, Torkel Klingberg 2024

Measuring digital intervention user experience with a novel ecological momentary assessment (EMA) method, CORTO

Lauri Lukka, Veli Matti Karhulahti, Vilma Reetta Bergman, J. Matias Palva 2024

Rhythmicity of neuronal oscillations delineates their cortical and spectral architecture

Vladislav Myrov, Felix Siebenhühner, Joonas J. Juvonen, Gabriele Arnulfo, Satu Palva, J. Matias Palva 2024

Neuronal synchrony and critical bistability : Mechanistic biomarkers for localizing the epileptogenic network

Sheng H. Wang, Gabriele Arnulfo, Lino Nobili, Vladislav Myrov, Paul Ferrari, Philippe Ciuciu, Satu Palva, J. Matias Palva 2024

Detrended fluctuation analysis in the presurgical evaluation of epilepsy patients

Sami Auno, P. Nevalainen, J. Vanhanen, Juha Wilenius, Maria Peltola, J. Matias Palva, Leena Lauronen 2023

Brain criticality predicts individual levels of inter-areal synchronization in human electrophysiological data

Marco Fuscà, Felix Siebenhühner, Sheng H. Wang, Vladislav Myrov, Gabriele Arnulfo, Lino Nobili, J. Matias Palva, Satu Palva 2023

The qualities of patients interested in using a game-based digital mental health intervention for depression: a sequential mixed methods study

Lauri Lukka, Antti Salonen, Maria Vesterinen, Veli Matti Karhulahti, Satu Palva, J. Matias Palva 2023

Infra-slow fluctuations in cortical potentials and respiration drive fast cortical EEG rhythms in sleeping and waking states

Tommi Väyrynen, Heta Helakari, Vesa Korhonen, Johanna Tuunanen, Niko Huotari, Johanna Piispala, Mika Kallio, Lauri Raitamaa, Janne Kananen, Matti Järvelä, J. Matias Palva, Vesa Kiviniemi 2023