Predicting Neuronal Response Properties from Hemodynamic Responses in the Auditory Cortex

Isma Zulfiqar*, Martin Havlicek, Michelle Moerel, Elia Formisano

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review


Recent functional MRI (fMRI) studies have highlighted differences in responses to natural sounds along the rostral-caudal axis of the human superior temporal gyrus. However, due to the indirect nature of the fMRI signal, it has been challenging to relate these fMRI observations to actual neuronal response properties. To bridge this gap, we present a forward model of the fMRI responses to natural sounds combining a neuronal model of the auditory cortex with physiological modeling of the hemodynamic BOLD response. Neuronal responses are modeled with a dynamic recurrent firing rate model, reflecting the tonotopic, hierarchical processing in the auditory cortex and the spectro-temporal tradeoff in the rostral-caudal axis of its belt areas. To link modeled neuronal response properties with human fMRI data in the auditory belt regions, we generated a space of neuronal models, which differed parametrically in spectral and temporal specificity of neuronal responses. Then, we obtained predictions of fMRI responses through a biophysical model of the hemodynamic BOLD response (P-DCM). Using Bayesian model comparison, results showed that the hemodynamic BOLD responses of the caudal belt regions in the human auditory cortex were best explained by modeling faster temporal dynamics and broader spectral tuning of neuronal populations, while rostral belt regions were best explained through fine spectral tuning combined with slower temporal dynamics. These results support the hypotheses of complementary neural information processing along the rostral-caudal axis of the human superior temporal gyrus.

Original languageEnglish
Article number118575
Number of pages11
Early online date10 Sep 2021
Publication statusPublished - 1 Dec 2021


  • Auditory cortex
  • Biophysical hemodynamic model
  • Dynamic neuronal model
  • FMRI
  • Forward model
  • Rostral and caudal belt
  • Sound processing

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