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Related Experiment Video

Updated: May 20, 2026

Brain Imaging Investigation of the Neural Correlates of Emotion Regulation

Brain Imaging Investigation of the Neural Correlates of Emotion Regulation

Published on: August 26, 2011

Intersections between development and evolution in the classification of emotions.

Jason A Clark¹

¹Institute for Cognitive Science, University of Osnabrueck, 28 Albrechtstrasse #417, 49069 Osnabrueck, Germany. jasonanthonyclark@gmail.com

Developmental Psychobiology

|July 4, 2012

Summary

This summary is machine-generated.

This study challenges the standard model of emotion classification by integrating developmental and evolutionary psychology. A combined approach using homology reveals new insights into classifying psychological traits.

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Area of Science:

Developmental Psychology
Evolutionary Psychology
Affective Science

Background:

The standard model classifies basic and higher cognitive emotions into distinct categories.
This classification is not supported by developmental or evolutionary perspectives.

Purpose of the Study:

To illustrate how homology concepts inform developmental psychology.
To challenge the standard model of emotion classification.
To integrate developmental and evolutionary approaches for a revised model.

Main Methods:

Utilizing various concepts of homology, particularly those linked to development.
Comparing developmental and evolutionary approaches to psychological trait classification.
Analyzing existing research on integrating developmental and evolutionary factors.

Main Results:

Neither developmental nor evolutionary considerations alone support the standard model of emotion classification.
A combined ontogenetic and phylogenetic approach provides a stronger basis for revising the standard model.
Neglected forms of homology tied to development resolve classification issues.

Conclusions:

The standard model of emotion classification requires revision.
Integrating developmental and evolutionary perspectives, guided by homology, offers a more robust framework for understanding psychological traits.
This integrated approach can resolve outstanding problems in classifying emotions.