이수현 (National Institutes of Health) | 한빛사논문 > 한빛사

한빛사논문

조회192

National Institutes of Health

Nature, Feb 26 2025, | https://doi.org/10.1038/s41586-025-08631-w Brain-wide presynaptic networks of functionally distinct cortical neurons

Ana R Inácio ^{1 *}, Ka Chun Lam ^{# 2}, Yuan Zhao ^{# 2}, Francisco Pereira ², Charles R Gerfen ³, Soohyun Lee ^{3 *}

¹Unit on Functional Neural Circuits, Systems Neurodevelopment Laboratory, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
²Machine Learning Core, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
³Section on Neuroanatomy, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.

^#These authors contributed equally
^*Corresponding authors: correspondence to Ana R Inácio or Soohyun Lee

Abstract

Revealing the connectivity of functionally identified individual neurons is necessary to understand how activity patterns emerge and support behaviour. Yet the brain-wide presynaptic wiring rules that lay the foundation for the functional selectivity of individual neurons remain largely unexplored. Cortical neurons, even in primary sensory cortex, are heterogeneous in their selectivity, not only to sensory stimuli but also to multiple aspects of behaviour. Here, to investigate presynaptic connectivity rules underlying the selectivity of pyramidal neurons to behavioural state^1-10 in primary somatosensory cortex (S1), we used two-photon calcium imaging, neuropharmacology, single-cell-based monosynaptic input tracing and optogenetics. We show that behavioural state-dependent activity patterns are stable over time. These are minimally affected by direct neuromodulatory inputs and are driven primarily by glutamatergic inputs. Analysis of brain-wide presynaptic networks of individual neurons with distinct behavioural state-dependent activity profiles revealed that although behavioural state-related and behavioural state-unrelated neurons shared a similar pattern of local inputs within S1, their long-range glutamatergic inputs differed. Individual cortical neurons, irrespective of their functional properties, received converging inputs from the main S1-projecting areas. Yet neurons that tracked behavioural state received a smaller proportion of motor cortical inputs and a larger proportion of thalamic inputs. Optogenetic suppression of thalamic inputs reduced behavioural state-dependent activity in S1, but this activity was not externally driven. Our results reveal distinct long-range glutamatergic inputs as a substrate for preconfigured network dynamics associated with behavioural state.

논문정보

형식Research article
게재일2025년 02월 (BRIC 등록일 2025-03-04)
연구진국외 연구진
분야 생명과학 > 신경생물학

댓글 작성 로그인

CV 열람하기

연락처 보기