David Danks
University of California, San Diego
In this essay, we examine the use of resting state fMRI data for psychological inferences. We argue that resting state studies hold the paired promises of discovering novel functional brain networks, and of avoiding some of the limitations of task-based fMRI. However, we argue that the very features of experimental design that enable resting state fMRI to support exploratory science also generate a novel confound. We argue that seemingly key features of resting state functional connectivity networks may be artefacts resulting from sampling a ‘mixture distribution’ of diverse brain networks active at different times during the scan. We explore the consequences of this ‘mixture view’ for attempts to theorize about the cognitive or psychological functions of resting state networks, as well as the value of exploratory experiments.
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DOI 10.1093/bjps/axx053
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References found in this work BETA

The Predictive Mind.Jakob Hohwy - 2013 - Oxford University Press UK.
Nature's Capacities and Their Measurement.Nancy Cartwright - 1989 - Oxford, England: Oxford University Press.
The Unreliability of Naive Introspection.Eric Schwitzgebel - 2006 - Philosophical Review 117 (2):245-273.
Can Cognitive Processes Be Inferred From Neuroimaging Data?Russell A. Poldrack - 2006 - Trends in Cognitive Sciences 10 (2):59-63.

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Citations of this work BETA

Amalgamating Evidence of Dynamics.David Danks & Sergey Plis - 2019 - Synthese 196 (8):3213-3230.
Unmixing for Causal Inference: Thoughts on McCaffrey and Danks.Kun Zhang & Madelyn R. K. Glymour - 2020 - British Journal for the Philosophy of Science 71 (4):1319-1330.

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