Phillip D Chapman, Anand S Kulkarni, Alexandra J Trevisan, Katie Han, Jennifer M Hinton, Paulina Deltuvaite, Lief E Fenno, Charu Ramakrishnan, Mary H Patton, Lindsay A Schwarz, Stanislav S Zakharenko, Karl Deisseroth, Jay B Bikoff
{"title":"下行输入到脊髓V1中间神经元的全脑图。","authors":"Phillip D Chapman, Anand S Kulkarni, Alexandra J Trevisan, Katie Han, Jennifer M Hinton, Paulina Deltuvaite, Lief E Fenno, Charu Ramakrishnan, Mary H Patton, Lindsay A Schwarz, Stanislav S Zakharenko, Karl Deisseroth, Jay B Bikoff","doi":"10.1016/j.neuron.2024.11.019","DOIUrl":null,"url":null,"abstract":"<p><p>Motor output results from the coordinated activity of neural circuits distributed across multiple brain regions that convey information to the spinal cord via descending motor pathways. Yet the organizational logic through which supraspinal systems target discrete components of spinal motor circuits remains unclear. Here, using viral transsynaptic tracing along with serial two-photon tomography, we have generated a whole-brain map of monosynaptic inputs to spinal V1 interneurons, a major inhibitory population involved in motor control. We identified 26 distinct brain structures that directly innervate V1 interneurons, spanning medullary and pontine regions in the hindbrain as well as cortical, midbrain, cerebellar, and neuromodulatory systems. Moreover, we identified broad but biased input from supraspinal systems onto V1<sup>Foxp2</sup> and V1<sup>Pou6f2</sup> neuronal subsets. Collectively, these studies reveal elements of biased connectivity and convergence in descending inputs to molecularly distinct interneuron subsets and provide an anatomical foundation for understanding how supraspinal systems influence spinal motor circuits.</p>","PeriodicalId":19313,"journal":{"name":"Neuron","volume":" ","pages":"524-538.e6"},"PeriodicalIF":14.7000,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11842218/pdf/","citationCount":"0","resultStr":"{\"title\":\"A brain-wide map of descending inputs onto spinal V1 interneurons.\",\"authors\":\"Phillip D Chapman, Anand S Kulkarni, Alexandra J Trevisan, Katie Han, Jennifer M Hinton, Paulina Deltuvaite, Lief E Fenno, Charu Ramakrishnan, Mary H Patton, Lindsay A Schwarz, Stanislav S Zakharenko, Karl Deisseroth, Jay B Bikoff\",\"doi\":\"10.1016/j.neuron.2024.11.019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Motor output results from the coordinated activity of neural circuits distributed across multiple brain regions that convey information to the spinal cord via descending motor pathways. Yet the organizational logic through which supraspinal systems target discrete components of spinal motor circuits remains unclear. Here, using viral transsynaptic tracing along with serial two-photon tomography, we have generated a whole-brain map of monosynaptic inputs to spinal V1 interneurons, a major inhibitory population involved in motor control. We identified 26 distinct brain structures that directly innervate V1 interneurons, spanning medullary and pontine regions in the hindbrain as well as cortical, midbrain, cerebellar, and neuromodulatory systems. Moreover, we identified broad but biased input from supraspinal systems onto V1<sup>Foxp2</sup> and V1<sup>Pou6f2</sup> neuronal subsets. Collectively, these studies reveal elements of biased connectivity and convergence in descending inputs to molecularly distinct interneuron subsets and provide an anatomical foundation for understanding how supraspinal systems influence spinal motor circuits.</p>\",\"PeriodicalId\":19313,\"journal\":{\"name\":\"Neuron\",\"volume\":\" \",\"pages\":\"524-538.e6\"},\"PeriodicalIF\":14.7000,\"publicationDate\":\"2025-02-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11842218/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neuron\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.neuron.2024.11.019\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/12/23 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuron","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.neuron.2024.11.019","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/23 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
A brain-wide map of descending inputs onto spinal V1 interneurons.
Motor output results from the coordinated activity of neural circuits distributed across multiple brain regions that convey information to the spinal cord via descending motor pathways. Yet the organizational logic through which supraspinal systems target discrete components of spinal motor circuits remains unclear. Here, using viral transsynaptic tracing along with serial two-photon tomography, we have generated a whole-brain map of monosynaptic inputs to spinal V1 interneurons, a major inhibitory population involved in motor control. We identified 26 distinct brain structures that directly innervate V1 interneurons, spanning medullary and pontine regions in the hindbrain as well as cortical, midbrain, cerebellar, and neuromodulatory systems. Moreover, we identified broad but biased input from supraspinal systems onto V1Foxp2 and V1Pou6f2 neuronal subsets. Collectively, these studies reveal elements of biased connectivity and convergence in descending inputs to molecularly distinct interneuron subsets and provide an anatomical foundation for understanding how supraspinal systems influence spinal motor circuits.
期刊介绍:
Established as a highly influential journal in neuroscience, Neuron is widely relied upon in the field. The editors adopt interdisciplinary strategies, integrating biophysical, cellular, developmental, and molecular approaches alongside a systems approach to sensory, motor, and higher-order cognitive functions. Serving as a premier intellectual forum, Neuron holds a prominent position in the entire neuroscience community.