Causal interpretation rules for encoding and decoding models in neuroimaging

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...

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Bibliographic Details
Published in:	NeuroImage (Orlando, Fla.) Vol. 110; pp. 48 - 59
Main Authors:	Weichwald, Sebastian, Meyer, Timm, Özdenizci, Ozan, Schölkopf, Bernhard, Ball, Tonio, Grosse-Wentrup, Moritz
Format:	Journal Article
Language:	English
Published:	United States Elsevier Inc 15.04.2015 Elsevier Limited
Subjects:	Adult Algorithms Brain Mapping - methods Causal inference Causality Cognition & reasoning Decoding models Electroencephalography Encoding models Feedback, Sensory Humans Image Processing, Computer-Assisted Interpretation Learning - physiology Male Medical imaging Models, Neurological Neural Networks (Computer) Neuroimaging - methods Neuroimaging - statistics & numerical data Pattern recognition Pattern Recognition, Automated Psychomotor Performance - physiology Random variables Studies Young Adult Causal inference Pattern recognition Encoding models Decoding models Interpretation
ISSN:	1053-8119, 1095-9572, 1095-9572
Online Access:	Get full text
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