Multimodal neuroimaging of hierarchical cognitive control

Mattia F Pagnotta; Justin Riddle; Mark D'Esposito

doi:10.1016/j.biopsycho.2024.108896

Multimodal neuroimaging of hierarchical cognitive control

Biol Psychol. 2024 Oct 31:193:108896. doi: 10.1016/j.biopsycho.2024.108896. Online ahead of print.

Authors

Mattia F Pagnotta¹, Justin Riddle², Mark D'Esposito³

Affiliations

¹ Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA. Electronic address: [email protected].
² Department of Psychology, Florida State University, FL, USA; Program in Neuroscience, Florida State University, FL, USA.
³ Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA; Department of Psychology, University of California, Berkeley, CA, USA.

PMID: 39488242
DOI: 10.1016/j.biopsycho.2024.108896

Abstract

Cognitive control enables us to translate our knowledge into actions, allowing us to flexibly adjust our behavior, according to environmental contexts, our internal goals, and future plans. Multimodal neuroimaging and neurostimulation techniques have proven essential for advancing our understanding of how cognitive control emerges from the coordination of distributed neuronal activities in the brain. In this review, we examine the literature on multimodal studies of cognitive control. We explore how these studies provide converging evidence for a novel, multiplexed model of cognitive control, in which neural oscillations support different levels of control processing along a functionally hierarchical organization of distinct frontoparietal networks.

Keywords: Cognitive control; EEG; FMRI; Frontoparietal networks; Multimodal neuroimaging; Neurostimulation; TACS; TMS.