ERPscanr

Automated meta-analysis of ERP research.

View project on GitHub

Cognitive Associations

This analyses is a co-occurrence analysis between ERP components, and a curated set of cognition-related terms. The goal of this analysis is to investigate and summarize which ERP components are associated with which cognitive functions, and compare the similarities and differences between different ERP components.

Cognition Clustermap

The following plot is a clustering of ERP literature and cognition related associations. The colormap represents the normalized association strength between each ERP component and each association term. Similarity between components, measured as cosine similarity, is used to re-order the rows and columns, and hierarchical clustering is applied to group ERP components and association terms into groups. Overall, this graph shows the associations between ERP components and cognitive terms, and the similarity between ERP components based on their associations.

cognitive_clustermap

This analysis is able to show clusters of ERP components that relate to particular cognitive functions, such as the N400 and P600 that are particularly associated with language and syntax, and the LPP and EPN that are particularly associated with emotional processing. Notably, some of the similarity between components might relate to their timing, with temporally adjacent components clustering together, however, this doesn’t seem explain all the similarities, as some temporally distant components also cluster together, for example the P150 and the P400.

ERP Timing

Additional analysis was done to examine the most common cognitive association of ERPs across time. This plot was created by labeling each ERP component with it’s typical latency, and then selecting the strongest association term for each component, selected as the association term with the highest score, as seen in the co-occurrence analysis above. For visualization purposes, this plot only includes a subset of ERP components with the highest number of articles (over 250 articles).

cognitive_time

This analysis is able to show how different cognitive processes are engaged through time. Notably, earlier ERP components are more broadly related to sensory processing, with later components increasingly relating to more complex cognitive functions.

The highest associated components for each association term are:

  • anticipation: SPeN, LRP, BP
  • attention: N2pc, CDA, EPN
  • arousal: EPN, LPP, PSW
  • auditory: N100, MMN, P3a
  • categorization: N250, N170, LPC
  • cognitive control: N450, Pe, ERN
  • comprehension: P600, N400, N300
  • conflict: N450, ERN, LRP
  • conscious: Pe, ERN, BP
  • decision making: FRN, SPeN, BP
  • emotion: EPN, LPP, N170
  • error: Pe, ERN, FRN
  • executive function: N450, Pe, ERN
  • face: N170, N250, EPN
  • fear: EPN, LPP, N170
  • intelligence: N400, SPeN, P600
  • language: P600, N400, LPC
  • learning: FRN, N250, PSW
  • memory: CDA, FN400, NSW
  • motor: MRCP, BP, LRP
  • music: MMN, P3a, P600
  • pain: N150, N140, P400
  • perception: N170, P400, EPN
  • phonology: N450, N400, MMN
  • prediction: FRN, MMN, SPeN
  • reading: N400, P600, N250
  • recognition: FN400, N250, N170
  • representation: CDA, N400, N300
  • reward: FRN, SPeN, ERN
  • semantic: N400, P600, N300
  • spatial: N2pc, NSW, N140
  • speech: MMN, P600, N400
  • social: FRN, N170, EPN
  • somatosensory: N140, N150, P100
  • syntax: P600, N400, N300
  • valence: EPN, LPP, SPeN
  • vision: CDA, N2pc, P100
  • working memory: CDA, NSW, PSW