Harmonic Amplitude Summation for Frequency-tagging Analysis

Autor: Christine Schiltz, Talia L. Retter, Bruno Rossion
Přispěvatelé: University of Luxembourg [Luxembourg], Centre de Recherche en Automatique de Nancy (CRAN), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Service de neurologie [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Fonds De La Recherche Scientifique - FNRS PDR T.0207.16 FNRS, Fonds National de la Recherche Luxembourg INTER/FNRS/15/11015111
Rok vydání: 2021
Předmět:
Zdroj: Journal of Cognitive Neuroscience
Journal of Cognitive Neuroscience, Massachusetts Institute of Technology Press (MIT Press), 2021, 33 (11), pp.1-22. ⟨10.1162/jocn_a_01763⟩
ISSN: 1530-8898
0898-929X
DOI: 10.1162/jocn_a_01763⟩
Popis: In the approach of frequency tagging, stimuli that are presented periodically generate periodic responses of the brain. Following a transformation into the frequency domain, the brain's response is often evident at the frequency of stimulation, F, and its higher harmonics (2F, 3F, etc.). This approach is increasingly used in neuroscience, as it affords objective measures to characterize brain function. However, whether these specific harmonic frequency responses should be combined for analysis—and if so, how—remains an outstanding issue. In most studies, higher harmonic responses have not been described or were described only individually; in other studies, harmonics have been combined with various approaches, for example, averaging and root-mean-square summation. A rationale for these approaches in the context of frequency-based analysis principles and an understanding of how they relate to the brain's response amplitudes in the time domain have been missing. Here, with these elements addressed, the summation of (baseline-corrected) harmonic amplitude is recommended.
Databáze: OpenAIRE