Causal interpretation rules for encoding and decoding models in neuroimaging

Weichwald, Sebastian and Meyer, Timm and Özdenizci, Ozan and Schölkopf, Bernhard and Ball, Tonio and Grosse-Wentrup, Moritz (2015) Causal interpretation rules for encoding and decoding models in neuroimaging. NeuroImage, 110 . pp. 48-59. ISSN 1053-8119 (Print) 1095-9572 (Online)

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Official URL: http://dx.doi.org/10.1016/j.neuroimage.2015.01.036


Causal terminology is often introduced in the interpretation of encoding and decoding models trained on neuroimaging data. In this article, we investigate which causal statements are warranted and which ones are not supported by empirical evidence. We argue that the distinction between encoding and decoding models is not sufficient for this purpose: relevant features in encoding and decoding models carry a different meaning in stimulus- and in response-based experimental paradigms. We show that only encoding models in the stimulus-based setting support unambiguous causal interpretations. By combining encoding and decoding models trained on the same data, however, we obtain insights into causal relations beyond those that are implied by each individual model type. We illustrate the empirical relevance of our theoretical findings on EEG data recorded during a visuo-motor learning task.

Item Type:Article
Uncontrolled Keywords:Encoding models; Decoding models; Interpretation; Causal inference; Pattern recognition
ID Code:29274
Deposited By:Ozan Özdenizci
Deposited On:18 Apr 2016 12:34
Last Modified:23 Aug 2019 16:15

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