Shared Patterns of Cognitive Control Behavior and Electrophysiological Markers in Adolescence

Year: 2024

Type: article

Abstract: 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.

Source: Journal of Cognitive Neuroscience

DOI: 10.1162/jocn_a_02272

Authors: Thea Wiker, Dag Alnæs, Mads L. Pedersen, Linn B. Norbom, Olga D. Boer, Rikka Kjelkenes, Irene Voldsbekk, Valerie Karl, Shervin H. Bukhari, Torgeir Moberget, Lars T. Westlye, René J. Huster, Christian K. Tamnes

Institutions: University of Oslo, Diakonhjemmet Hospital, Erasmus MC, Erasmus University Rotterdam, OsloMet – Oslo Metropolitan University

Language: English

Topic: Neural and Behavioral Psychology Studies

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green

Funders: UK Research and Innovation, European Commission, Bundesministerium für Bildung und Forschung, Universitetet i Oslo, Norges Forskningsråd, HORIZON EUROPE Framework Programme, Helse Sør-Øst RHF

OpenAlex ID: W4404124032