Poster preview
ePoster
THE BAYESIAN PERIODICITY SPECTRUM TO DISAMBIGUATE OSCILLATORY ACTIVITY
Jesús Pardo-Valenciaand 4 co-authors
HM CINAC (Centro Integral de Neurociencias Abarca Campal), Hospital Universitario HM Puerta del Sur, HM Hospitales
FENS Forum 2026 (2026)
Barcelona, Spain
Board PS06-09PM-363
Presentation
Date TBA
Board: PS06-09PM-363
Event Information
Poster Board
PS06-09PM-363
Poster
View posterAbstract
Oscillatory activity in biological signals is commonly evaluated using power spectrum analysis, a technique that is sensitive not only to genuine oscillations but also to broadband and aperiodic signal components. This overlap complicates the interpretation of spectral peaks. Here, we present the periodicity spectrum, an approach based exclusively on phase information that enables a direct and unbiased estimation of oscillatory activity across frequencies, independently of non-oscillatory background activity. In addition, we incorporate a Bayesian framework to formally quantify evidence for the presence or absence of rhythmic components. The method is validated using simulations and applied to multiple types of biological recordings, including subthalamic local field potentials in Parkinson’s disease, accelerometry in essential tremor, and scalp EEG and MEG in healthy participants. Our results show that the Bayesian periodicity spectrum reduces spectral ambiguity, improves frequency resolution, and eliminates frequency bias, providing a more accurate and specific characterization of oscillatory activity in biological signals.
Recommended posters
GENERATION MECHANISMS AND SYNAPTIC GAINS FOR ABNORMAL BETA OSCILLATIONS IN THE BASAL GANGLIA
Elena Nicollin, Arthur Leblois
ESSENTIAL TREMOR BEYOND OSCILLATIONS: THALAMIC SIGNATURES OF PREDICTIVE AND PRECISION PROCESSING AS CIRCUIT-SPECIFIC BIOMARKERS OF MOTOR CONTROL
Iva Durdanovic, Michael Bender, Nisrine Bakri, Lauren Goldman, Adolfo Ramirez-Zamora, David Vaillancourt, Stephen Coombes, Kelly Foote, Karim Oweiss
ACUTE ANT-DBS RECONFIGURES SCALP EEG SPECTRA AND APERIODIC DYNAMICS: REPRODUCIBLE ON–OFF EFFECTS ACROSS YEARS
Elaheh Sabbaghi, Herkko Mattila, Jari Hyttinen, Jukka Peltola, Narayan Puthanmadam Subramaniyam
THE PHASE OF SLOW WAVE OSCILLATIONS COUPLES WITH HIGH GAMMA POWER IN HUMAN ELECTROCORTICOGRAPHY DURING PERFORMED AND IMAGINED REPETITIVE MOVEMENTS
Eva Calvo Merino, Qiang Sun, Marc Van Hulle
ROLE OF NEURONAL OSCILLATIONS IN HUMAN THALAMUS AND SUBTHALAMIC NUCLEUS IN EVIDENCE INTEGRATION AND MOTOR EXECUTION DURING PERCEPTUAL DECISION-MAKING
Simon Arvin, Wanjun Lin, Malte Lau Petersen, Louse Høj Svarer, Hamed Zaer, Bo Bergholt, Gaston Schechtmann, Jens Christian Hedemann Sørensen, Seth R. Batten, Pendleton Read Montague, Andreas Nørgaard Glud, Dan Bang
CHALLENGES IN GROUP-LEVEL STATISTICAL INFERENCE: COMPARING NONPARAMETRIC PERMUTATION AND PREVALENCE APPROACHES WITH EEG RESTING STATE
Jordi Tobajas-Arbós, Diego Lozano-Soldevilla