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<p>Determining the neuromodulators driving brain activity is critical for understanding cognition and neuropathology. Neuromodulators act through neuroreceptors in a coordinated manner, yet their interconnected dynamics are often overlooked. We show that a neuroreceptor-based modeling framework using cortical density maps of 19 neuroreceptors and transporters from Positron Emission Tomography (PET) can model BOLD-derived brain activity. This framework reconstructs activity across four datasets (N = 314) identifying two neuroreceptor modules linked to higher-order associative or somatomotor and visual networks. Applying the framework to independent datasets, we recover the binding profiles of LSD and Modafinil, demonstrating consistency with known pharmacological and neurobiological associations. Additionally, it uncovered associations between neuroreceptors, transporters, and altered brain activity in neuropsychiatric disorders. These findings demonstrate the framework’s potential to elucidate neuromodulatory mechanisms and advance our understanding of brain function across diverse states and conditions.</p>

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The neuroreceptors and transporters underlying spontaneous brain activity

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年7月30日

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  • Johan Nakuci,
  • Kanika Bansal

摘要

Determining the neuromodulators driving brain activity is critical for understanding cognition and neuropathology. Neuromodulators act through neuroreceptors in a coordinated manner, yet their interconnected dynamics are often overlooked. We show that a neuroreceptor-based modeling framework using cortical density maps of 19 neuroreceptors and transporters from Positron Emission Tomography (PET) can model BOLD-derived brain activity. This framework reconstructs activity across four datasets (N = 314) identifying two neuroreceptor modules linked to higher-order associative or somatomotor and visual networks. Applying the framework to independent datasets, we recover the binding profiles of LSD and Modafinil, demonstrating consistency with known pharmacological and neurobiological associations. Additionally, it uncovered associations between neuroreceptors, transporters, and altered brain activity in neuropsychiatric disorders. These findings demonstrate the framework’s potential to elucidate neuromodulatory mechanisms and advance our understanding of brain function across diverse states and conditions.