This chapter focuses on the contribution of fMRI to the study of time perception, and on brain networks supporting duration processing. Starting with the main experimental designs, we will present the standard analysis pipelines (mass-univariate approach) and the most advanced neuroimaging strategies (information-based approach) devoted to the study of both regional and network contributions (effective and resting-state connectivity), along with their evidence for neural mechanisms supporting time perception. This is not intended to be an exhaustive presentation of physical principles and techniques of fMRI, for which the reader is referred, for example, to Poldrack et al. (2011). Rather, it is intended to be a guide for those who are new to neuroimaging of time perception and wish to under- stand, plan, or analyze fMRI designs and data in this area of cognitive neuroscience. The final part of the chapter will summarize findings that emerged from this line of research, providing an overview of brain networks support- ing the perception and representation of time intervals across different contexts and timescales.
Teghil A., Boccia, M. (2024) Studying time perception with fMRI: Methodological considerations and neural networks for processing time intervals. In: Mioni G., Grondin S. (eds) Neural bases of timing and time perception. Routhledge / Teghil, Alice; Boccia, Maddalena. - (2024).
Teghil A., Boccia, M. (2024) Studying time perception with fMRI: Methodological considerations and neural networks for processing time intervals. In: Mioni G., Grondin S. (eds) Neural bases of timing and time perception. Routhledge
Alice Teghil
;Maddalena Boccia
2024
Abstract
This chapter focuses on the contribution of fMRI to the study of time perception, and on brain networks supporting duration processing. Starting with the main experimental designs, we will present the standard analysis pipelines (mass-univariate approach) and the most advanced neuroimaging strategies (information-based approach) devoted to the study of both regional and network contributions (effective and resting-state connectivity), along with their evidence for neural mechanisms supporting time perception. This is not intended to be an exhaustive presentation of physical principles and techniques of fMRI, for which the reader is referred, for example, to Poldrack et al. (2011). Rather, it is intended to be a guide for those who are new to neuroimaging of time perception and wish to under- stand, plan, or analyze fMRI designs and data in this area of cognitive neuroscience. The final part of the chapter will summarize findings that emerged from this line of research, providing an overview of brain networks support- ing the perception and representation of time intervals across different contexts and timescales.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


