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Decoding naturalistic affective behaviour from spectro-spatial features in multiday human iEEG

Author

Listed:
  • Maryam Bijanzadeh

    (University of California San Francisco)

  • Ankit N. Khambhati

    (University of California San Francisco)

  • Maansi Desai

    (University of Texas at Austin)

  • Deanna L. Wallace

    (University of Texas at Austin)

  • Alia Shafi

    (University of California San Francisco)

  • Heather E. Dawes

    (University of California San Francisco)

  • Virginia E. Sturm

    (University of California San Francisco)

  • Edward F. Chang

    (University of California San Francisco)

Abstract

The neurological basis of affective behaviours in everyday life is not well understood. We obtained continuous intracranial electroencephalography recordings from the human mesolimbic network in 11 participants with epilepsy and hand-annotated spontaneous behaviours from 116 h of multiday video recordings. In individual participants, binary random forest models decoded affective behaviours from neutral behaviours with up to 93% accuracy. Both positive and negative affective behaviours were associated with increased high-frequency and decreased low-frequency activity across the mesolimbic network. The insula, amygdala, hippocampus and anterior cingulate cortex made stronger contributions to affective behaviours than the orbitofrontal cortex, but the insula and anterior cingulate cortex were most critical for differentiating behaviours with observable affect from those without. In a subset of participants (N = 3), multiclass decoders distinguished amongst the positive, negative and neutral behaviours. These results suggest that spectro-spatial features of brain activity in the mesolimbic network are associated with affective behaviours of everyday life.

Suggested Citation

  • Maryam Bijanzadeh & Ankit N. Khambhati & Maansi Desai & Deanna L. Wallace & Alia Shafi & Heather E. Dawes & Virginia E. Sturm & Edward F. Chang, 2022. "Decoding naturalistic affective behaviour from spectro-spatial features in multiday human iEEG," Nature Human Behaviour, Nature, vol. 6(6), pages 823-836, June.
    • Handle: RePEc:nat:nathum:v:6:y:2022:i:6:d:10.1038_s41562-022-01310-0
    DOI: 10.1038/s41562-022-01310-0
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