The disentanglement of the neural and experiential complexity of self-generated thoughts: A users guide to combining experience sampling with neuroimaging data

Martinon, Léa M., Smallwood, Jonathan, Mcgann, Deborah, Hamilton, Colin and Riby, Leigh (2019) The disentanglement of the neural and experiential complexity of self-generated thoughts: A users guide to combining experience sampling with neuroimaging data. NeuroImage, 192. pp. 15-25. ISSN 1053-8119

[img]
Preview
Text
neuroimage 2019_accepted version.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0.

Download (421kB) | Preview
Official URL: https://doi.org/10.1016/j.neuroimage.2019.02.034

Abstract

Human cognition is not limited to the processing of events in the external environment, and the covert nature of certain aspects of the stream of consciousness (e.g. experiences such as mind-wandering) provides a methodological challenge. Although research has shown that we spend a substantial amount of time focused on thoughts and feelings that are intrinsically generated, evaluating such internal states, purely on psychological grounds can be restrictive. In this review of the different methods used to examine patterns of ongoing thought, we emphasise how the process of triangulation between neuroimaging techniques, with self-reported information, is important for the development of a more empirically grounded account of ongoing thought. Specifically, we show how imaging techniques have provided critical information regarding the presence of covert states and can help in the attempt to identify different aspects of experience.

Item Type: Article
Uncontrolled Keywords: Connectivity, EEG, ERP, Mind-wandering, MRI, Self-generated thoughts
Subjects: C800 Psychology
Department: Faculties > Health and Life Sciences > Psychology
Depositing User: Elena Carlaw
Date Deposited: 25 Apr 2019 09:05
Last Modified: 31 Jul 2021 19:46
URI: http://nrl.northumbria.ac.uk/id/eprint/39058

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics