TY - JOUR
T1 - Cycle-frequency content EEG analysis improves the assessment of respiratory-related cortical activity
AU - Navarro-Sune, Xavier
AU - Raux, Mathieu
AU - Hudson, Anna L
AU - Similowski, Thomas
AU - Chavez, Mario
PY - 2024/9
Y1 - 2024/9
N2 - Objective: Time-frequency (T-F) analysis of electroencephalographic (EEG) is a common technique to characterise spectral changes in neural activity. This study explores the limitations of utilizing conventional spectral techniques in examining cyclic event-related cortical activities due to challenges, including high inter-trial variability. Approach: Introducing the cycle-frequency (C-F) analysis, we aim to enhance the evaluation of cycle-locked respiratory events. For synthetic EEG that mimicked cycle-locked pre-motor activity, C-F had more accurate frequency and time localization compared to conventional T-F analysis, even for a significantly reduced number of trials and a variability of breathing rhythm. Main results: Preliminary validations using real EEG data during both unloaded breathing and loaded breathing (that evokes pre-motor activity) suggest potential benefits of using the C-F method, particularly in normalizing time units to cyclic activity phases and refining baseline placement and duration.Significance: The proposed approach could provide new insights for the study of rhythmic neural activities, complementing T-F analysis.
AB - Objective: Time-frequency (T-F) analysis of electroencephalographic (EEG) is a common technique to characterise spectral changes in neural activity. This study explores the limitations of utilizing conventional spectral techniques in examining cyclic event-related cortical activities due to challenges, including high inter-trial variability. Approach: Introducing the cycle-frequency (C-F) analysis, we aim to enhance the evaluation of cycle-locked respiratory events. For synthetic EEG that mimicked cycle-locked pre-motor activity, C-F had more accurate frequency and time localization compared to conventional T-F analysis, even for a significantly reduced number of trials and a variability of breathing rhythm. Main results: Preliminary validations using real EEG data during both unloaded breathing and loaded breathing (that evokes pre-motor activity) suggest potential benefits of using the C-F method, particularly in normalizing time units to cyclic activity phases and refining baseline placement and duration.Significance: The proposed approach could provide new insights for the study of rhythmic neural activities, complementing T-F analysis.
KW - electroencephalography
KW - event-related potentials
KW - event-related spectral perturbation
KW - respiratory-related cortical activity
KW - time-frequency analysis
UR - http://www.scopus.com/inward/record.url?scp=85204260510&partnerID=8YFLogxK
U2 - 10.1088/1361-6579/ad74d7
DO - 10.1088/1361-6579/ad74d7
M3 - Article
C2 - 39197476
AN - SCOPUS:85204260510
SN - 0967-3334
VL - 45
JO - Physiological Measurement
JF - Physiological Measurement
IS - 9
M1 - 095003
ER -