Pattern classification and the interoceptive network

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Appendix D endnote 12, from How Emotions are Made: The Secret Life of the Brain by Lisa Feldman Barrett.
Some context is: colleagues and I used pattern classification analysis (chapter 1) to produce five summaries of emotion categories, shown in figure AD-2. In all five, the interoceptive network played a significant role. The control network was also present for all five, but less clearly for happiness and sadness.

Another recent brain-imaging experiment found that the greatest distinguishing feature between patterns for anger, sadness, fear, disgust, happiness, and surprise categories was in the default mode network. This implies that these emotion concepts are distinguished mainly by their goals, not by sensory details.[1] Unfortunately, the scientists who conducted this study made the essentialist mistake of interpreting the patterns as “fingerprints” and misconstrued their findings as evidence for the classical view of emotion.

Notes on the Notes

  1. Saarimäki, Heini, Athanasios Gotsopoulos, Iiro P. Jääskeläinen, Jouko Lampinen, Patrik Vuilleumier, Riitta Hari, Mikko Sams, and Lauri Nummenmaa. 2016. "Discrete Neural Signatures of Basic Emotions." Cerebral Cortex 26 (6), 2563-2573.