Scholarlink

<p>Elucidating how microscale molecular architecture shapes macroscale brain network organization requires integrative frameworks that link transcriptional profiles, structural connectivity, and functional dynamics across scales. However, existing evidence largely relies on cross-modal data acquired from different individuals, limiting causal and mechanistic inference. To overcome this, we performed concurrent awake optogenetic functional MRI (opto-fMRI) and spatial transcriptomics (opto-ST) within the same mice, enabling coupled analysis of neural activity and gene expression in fronto-thalamic and hippo-thalamic networks. Optogenetic stimulation of the medial prefrontal cortex (mPFC) or subiculum (SUB) evoked distinct thalamic BOLD response patterns. Multivariate spatial modeling revealed that energy metabolism and core biochemical processes underlie these GLM-derived activation patterns—a finding further supported by data-driven PCA, which identified enrichments in similar biological processes. These results suggest that conventional linear models predominantly capture linear gene–process relationships, highlighting the need for nonlinear computational approaches in fMRI analysis. Overall, our multi-omics framework reveals that genes regulating metabolic pathways underlie region-specific neurovascular coupling, thereby bridging local transcriptomics and large-scale functional imaging signatures.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Integrating optogenetic fMRI and spatial transcriptomics to reveal circuit-specific gene signatures in fronto- and hippo-thalamic networks

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月18日

查看全文
  • Changjiang Zhang,
  • Yijuan Zou,
  • Liangchen Zhuo,
  • Xiya Liu,
  • Suijuan Zhong,
  • Chonghai Yin,
  • Mayuqing Li,
  • Mengdi Wang,
  • Wei Wang,
  • Xin Zhou,
  • Bo Zeng,
  • Changsheng Dong,
  • Le Sun,
  • Zheng Wang,
  • Ang Li,
  • Qian Wu,
  • Xiaoqun Wang

摘要

Elucidating how microscale molecular architecture shapes macroscale brain network organization requires integrative frameworks that link transcriptional profiles, structural connectivity, and functional dynamics across scales. However, existing evidence largely relies on cross-modal data acquired from different individuals, limiting causal and mechanistic inference. To overcome this, we performed concurrent awake optogenetic functional MRI (opto-fMRI) and spatial transcriptomics (opto-ST) within the same mice, enabling coupled analysis of neural activity and gene expression in fronto-thalamic and hippo-thalamic networks. Optogenetic stimulation of the medial prefrontal cortex (mPFC) or subiculum (SUB) evoked distinct thalamic BOLD response patterns. Multivariate spatial modeling revealed that energy metabolism and core biochemical processes underlie these GLM-derived activation patterns—a finding further supported by data-driven PCA, which identified enrichments in similar biological processes. These results suggest that conventional linear models predominantly capture linear gene–process relationships, highlighting the need for nonlinear computational approaches in fMRI analysis. Overall, our multi-omics framework reveals that genes regulating metabolic pathways underlie region-specific neurovascular coupling, thereby bridging local transcriptomics and large-scale functional imaging signatures.