Independency of Coding for Affective Similarities and for Word Co-occurrences in Temporal Perisylvian Neocortex

AbstractWord valence is one of the principal dimensions in the organization of word meaning. Co-occurrence-based similarities calculated by predictive natural language processing models are relatively poor at representing affective content, but very powerful in their own way. Here, w...

Full description

Bibliographic Details
Main Authors: Antonietta Gabriella Liuzzi, Karen Meersmans, Gerrit Storms, Simon De Deyne, Patrick Dupont, Rik Vandenberghe
Format: Article
Language:English
Published: The MIT Press 2023-01-01
Series:Neurobiology of Language
Online Access:https://direct.mit.edu/nol/article/4/2/257/114206/Independency-of-Coding-for-Affective-Similarities
_version_ 1797837471201886208
author Antonietta Gabriella Liuzzi
Karen Meersmans
Gerrit Storms
Simon De Deyne
Patrick Dupont
Rik Vandenberghe
author_facet Antonietta Gabriella Liuzzi
Karen Meersmans
Gerrit Storms
Simon De Deyne
Patrick Dupont
Rik Vandenberghe
author_sort Antonietta Gabriella Liuzzi
collection DOAJ
description AbstractWord valence is one of the principal dimensions in the organization of word meaning. Co-occurrence-based similarities calculated by predictive natural language processing models are relatively poor at representing affective content, but very powerful in their own way. Here, we determined how these two canonical but distinct ways of representing word meaning relate to each other in the human brain both functionally and neuroanatomically. We re-analysed an fMRI study of word valence. A co-occurrence-based model was used and the correlation with the similarity of brain activity patterns was compared to that of affective similarities. The correlation between affective and co-occurrence-based similarities was low (r = 0.065), confirming that affect was captured poorly by co-occurrence modelling. In a whole-brain representational similarity analysis, word embedding similarities correlated significantly with the similarity between activity patterns in a region confined to the superior temporal sulcus to the left, and to a lesser degree to the right. Affective word similarities correlated with the similarity in activity patterns in this same region, confirming previous findings. The affective similarity effect extended more widely beyond the superior temporal cortex than the effect of co-occurrence-based similarities did. The effect of co-occurrence-based similarities remained unaltered after partialling out the effect of affective similarities (and vice versa). To conclude, different aspects of word meaning, derived from affective judgements or from word co-occurrences, are represented in superior temporal language cortex in a neuroanatomically overlapping but functionally independent manner.
first_indexed 2024-04-09T15:26:19Z
format Article
id doaj.art-d85267ea86e140abbb3ab64fcf64098b
institution Directory Open Access Journal
issn 2641-4368
language English
last_indexed 2024-04-09T15:26:19Z
publishDate 2023-01-01
publisher The MIT Press
record_format Article
series Neurobiology of Language
spelling doaj.art-d85267ea86e140abbb3ab64fcf64098b2023-04-28T18:13:49ZengThe MIT PressNeurobiology of Language2641-43682023-01-014225727910.1162/nol_a_00095Independency of Coding for Affective Similarities and for Word Co-occurrences in Temporal Perisylvian NeocortexAntonietta Gabriella Liuzzi0http://orcid.org/0000-0001-8960-5601Karen Meersmans1http://orcid.org/0000-0001-6018-0072Gerrit Storms2http://orcid.org/0000-0002-4100-8725Simon De Deyne3http://orcid.org/0000-0002-7899-6210Patrick Dupont4http://orcid.org/0000-0003-1980-2540Rik Vandenberghe5http://orcid.org/0000-0001-6237-2502Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, BelgiumLaboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, BelgiumLaboratory of Experimental Psychology, KU Leuven, Leuven, BelgiumComputational Cognitive Science Lab, University of Melbourne, Melbourne, AustraliaLaboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, BelgiumLaboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium AbstractWord valence is one of the principal dimensions in the organization of word meaning. Co-occurrence-based similarities calculated by predictive natural language processing models are relatively poor at representing affective content, but very powerful in their own way. Here, we determined how these two canonical but distinct ways of representing word meaning relate to each other in the human brain both functionally and neuroanatomically. We re-analysed an fMRI study of word valence. A co-occurrence-based model was used and the correlation with the similarity of brain activity patterns was compared to that of affective similarities. The correlation between affective and co-occurrence-based similarities was low (r = 0.065), confirming that affect was captured poorly by co-occurrence modelling. In a whole-brain representational similarity analysis, word embedding similarities correlated significantly with the similarity between activity patterns in a region confined to the superior temporal sulcus to the left, and to a lesser degree to the right. Affective word similarities correlated with the similarity in activity patterns in this same region, confirming previous findings. The affective similarity effect extended more widely beyond the superior temporal cortex than the effect of co-occurrence-based similarities did. The effect of co-occurrence-based similarities remained unaltered after partialling out the effect of affective similarities (and vice versa). To conclude, different aspects of word meaning, derived from affective judgements or from word co-occurrences, are represented in superior temporal language cortex in a neuroanatomically overlapping but functionally independent manner.https://direct.mit.edu/nol/article/4/2/257/114206/Independency-of-Coding-for-Affective-Similarities
spellingShingle Antonietta Gabriella Liuzzi
Karen Meersmans
Gerrit Storms
Simon De Deyne
Patrick Dupont
Rik Vandenberghe
Independency of Coding for Affective Similarities and for Word Co-occurrences in Temporal Perisylvian Neocortex
Neurobiology of Language
title Independency of Coding for Affective Similarities and for Word Co-occurrences in Temporal Perisylvian Neocortex
title_full Independency of Coding for Affective Similarities and for Word Co-occurrences in Temporal Perisylvian Neocortex
title_fullStr Independency of Coding for Affective Similarities and for Word Co-occurrences in Temporal Perisylvian Neocortex
title_full_unstemmed Independency of Coding for Affective Similarities and for Word Co-occurrences in Temporal Perisylvian Neocortex
title_short Independency of Coding for Affective Similarities and for Word Co-occurrences in Temporal Perisylvian Neocortex
title_sort independency of coding for affective similarities and for word co occurrences in temporal perisylvian neocortex
url https://direct.mit.edu/nol/article/4/2/257/114206/Independency-of-Coding-for-Affective-Similarities
work_keys_str_mv AT antoniettagabriellaliuzzi independencyofcodingforaffectivesimilaritiesandforwordcooccurrencesintemporalperisylvianneocortex
AT karenmeersmans independencyofcodingforaffectivesimilaritiesandforwordcooccurrencesintemporalperisylvianneocortex
AT gerritstorms independencyofcodingforaffectivesimilaritiesandforwordcooccurrencesintemporalperisylvianneocortex
AT simondedeyne independencyofcodingforaffectivesimilaritiesandforwordcooccurrencesintemporalperisylvianneocortex
AT patrickdupont independencyofcodingforaffectivesimilaritiesandforwordcooccurrencesintemporalperisylvianneocortex
AT rikvandenberghe independencyofcodingforaffectivesimilaritiesandforwordcooccurrencesintemporalperisylvianneocortex