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Affective speech modulates a cortico-limbic network in real time.

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Human communication relies on brain systems for decoding affect. Live, adaptive speech enhances emotion recognition by optimizing neural processing, unlike non-adaptive methods.

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Area of Science:

  • Neuroscience
  • Psychology
  • Linguistics

Background:

  • Affect signaling in human communication utilizes cortico-limbic brain systems for decoding emotional information from vocal intonations.
  • Previous research on affective speech and listener brain responses used non-social, non-adaptive protocols, underestimating real-time adaptive dynamics.

Purpose of the Study:

  • To investigate the socio-adaptive and neural context of affective communication using a novel real-time neuroimaging setup.
  • To compare adaptive versus non-adaptive affective speech in terms of acoustic distinctiveness, listener neural effects, and emotion recognition.

Main Methods:

  • Linked speakers' live affective speech production with listeners' limbic brain signals in real-time.
  • Analyzed acoustic features of speech and listener brain activity (limbic system, ventral striatum).
  • Quantified emotion recognition through acoustic analysis and listener emotional ratings.

Main Results:

  • Live, adaptive affective speech is acoustically more distinctive, adaptive, and individualized than non-adaptive speech.
  • Adaptive speech more efficiently engages neural affect decoding mechanisms in limbic and associated networks.
  • Live adaptive aggressive speech directly modulated listener limbic activity; joyful speech modulated limbic activity with the ventral striatum.

Conclusions:

  • Evolved neural mechanisms for affect decoding are optimized for interactive and individually adaptive communicative contexts.
  • Real-time adaptation in affective speech significantly enhances listener affect recognition and neural engagement.
  • The study highlights the importance of socio-dyadic interactions in understanding affective communication.