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<p>Individual differences in neuroimaging are of interest to clinical and cognitive neuroscientists based on their potential for guiding the personalized treatment of various heterogeneous neurological conditions and diseases. Despite many advantages, the prevailing modality in this field—blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI)—suffers from low spatiotemporal resolution and specificity as well as a propensity for noise and spurious signal corruption. To better understand individual differences in BOLD-fMRI data, we can use animal models where fMRI, alongside complementary but more invasive contrasts, can be accessed. Here, we apply simultaneous wide-field fluorescence calcium imaging and BOLD-fMRI in mice to interrogate individual differences using a connectome-based identification framework adopted from the human fMRI literature. This approach yields high spatiotemporal resolution cell-type specific signals (here, from glia, excitatory, as well as inhibitory interneurons) from the whole cortex. We found mouse multimodal connectome-based identification to be successful and explored various features of these data.</p>

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Multimodal identification of the mouse brain using simultaneous Ca2+ imaging and fMRI

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年4月26日

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  • Francesca Mandino,
  • Corey Horien,
  • Xilin Shen,
  • Gabriel Desrosiers-Grégoire,
  • Wendy Luo,
  • Marija Markicevic,
  • R. Todd Constable,
  • Xenophon Papademetris,
  • Mallar M. Chakravarty,
  • Richard F. Betzel,
  • Evelyn M. R. Lake

摘要

Individual differences in neuroimaging are of interest to clinical and cognitive neuroscientists based on their potential for guiding the personalized treatment of various heterogeneous neurological conditions and diseases. Despite many advantages, the prevailing modality in this field—blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI)—suffers from low spatiotemporal resolution and specificity as well as a propensity for noise and spurious signal corruption. To better understand individual differences in BOLD-fMRI data, we can use animal models where fMRI, alongside complementary but more invasive contrasts, can be accessed. Here, we apply simultaneous wide-field fluorescence calcium imaging and BOLD-fMRI in mice to interrogate individual differences using a connectome-based identification framework adopted from the human fMRI literature. This approach yields high spatiotemporal resolution cell-type specific signals (here, from glia, excitatory, as well as inhibitory interneurons) from the whole cortex. We found mouse multimodal connectome-based identification to be successful and explored various features of these data.