TY - JOUR
T1 - Shared Patterns of Cognitive Control Behavior and Electrophysiological Markers in Adolescence
AU - Wiker, Thea
AU - Alnæs, Dag
AU - Pedersen, Mads L.
AU - Norbom, Linn B.
AU - Boer, Olga D.
AU - Kjelkenes, Rikka
AU - Voldsbekk, Irene
AU - Karl, Valerie
AU - Bukhari, Shervin H.
AU - Moberget, Torgeir
AU - Westlye, Lars T.
AU - Huster, René J.
AU - Tamnes, Christian K.
N1 - Publisher Copyright:
© 2024 Massachusetts Institute of Technology.
PY - 2025/2/1
Y1 - 2025/2/1
N2 - Behavioral parameters obtained from cognitive control tasks have been linked to electrophysiological markers. Yet, most previous research has investigated only a few specific behavioral parameters at a time. An integrated approach with simultaneous consideration of multiple aspects of behavior may better elucidate the development and function of cognitive control. Here, we aimed to identify shared patterns between cognitive control behavior and electrophysiological markers using stop-signal task data and EEG recordings from an adolescent sample (n = 193, aged 11-25 years). We extracted behavioral variables covering various aspects of RT, accuracy, inhibition, and decision-making processes, as well as amplitude and latency of the ERPs N1, N2, and P3. To identify shared patterns between the two sets of variables, we employed a principal component analysis and a canonical correlation analysis. First, we replicated previously reported associations between various cognitive control behavioral parameters. Next, results from the canonical correlation analysis showed that overall good task performance was associated with fast and strong neural processing. Furthermore, the canonical correlation was affected by age, indicating that the association varies depending on age. The present study suggests that although distributional and computational methods can be applied to extract specific behavioral parameters, they might not capture specific patterns of cognitive control or electrophysiological brain activity in adolescents.
AB - Behavioral parameters obtained from cognitive control tasks have been linked to electrophysiological markers. Yet, most previous research has investigated only a few specific behavioral parameters at a time. An integrated approach with simultaneous consideration of multiple aspects of behavior may better elucidate the development and function of cognitive control. Here, we aimed to identify shared patterns between cognitive control behavior and electrophysiological markers using stop-signal task data and EEG recordings from an adolescent sample (n = 193, aged 11-25 years). We extracted behavioral variables covering various aspects of RT, accuracy, inhibition, and decision-making processes, as well as amplitude and latency of the ERPs N1, N2, and P3. To identify shared patterns between the two sets of variables, we employed a principal component analysis and a canonical correlation analysis. First, we replicated previously reported associations between various cognitive control behavioral parameters. Next, results from the canonical correlation analysis showed that overall good task performance was associated with fast and strong neural processing. Furthermore, the canonical correlation was affected by age, indicating that the association varies depending on age. The present study suggests that although distributional and computational methods can be applied to extract specific behavioral parameters, they might not capture specific patterns of cognitive control or electrophysiological brain activity in adolescents.
UR - http://www.scopus.com/inward/record.url?scp=85216606937&partnerID=8YFLogxK
U2 - 10.1162/jocn_a_02272
DO - 10.1162/jocn_a_02272
M3 - Article
C2 - 39509106
AN - SCOPUS:85216606937
SN - 0898-929X
VL - 37
SP - 372
EP - 413
JO - Journal of Cognitive Neuroscience
JF - Journal of Cognitive Neuroscience
IS - 2
ER -