Luu Peter, Nadtochiy Anna, Zanon Mirko, Moreno Noah, Messina Andrea, Petrazzini Maria Elena Miletto, Torres Perez Jose Vicente, Keomanee-Dizon Kevin, Jones Matthew, Brennan Caroline H, Vallortigara Giorgio, Fraser Scott E, Truong Thai V
Translational Imaging Center, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA, USA.
Molecular and Computational Biology, University of Southern California, Los Angeles, CA, USA.
bioRxiv. 2024 Sep 5:2024.08.30.610552. doi: 10.1101/2024.08.30.610552.
Number sense, the ability to discriminate the quantity of objects, is crucial for survival. To understand how neurons work together and develop to mediate number sense, we used two-photon fluorescence light sheet microscopy to capture the activity of individual neurons throughout the brain of larval , while displaying a visual number stimulus to the animal. We identified number-selective neurons as early as 3 days post-fertilization and found a proportional increase of neurons tuned to larger quantities after 3 days. We used machine learning to predict the stimulus from the neuronal activity and observed that the prediction accuracy improves with age. We further tested ethanol's effect on number sense and found a decrease in number-selective neurons in the forebrain, suggesting cognitive impairment. These findings are a significant step towards understanding neural circuits devoted to discrete magnitudes and our methodology to track single-neuron activity across the whole brain is broadly applicable to other fields in neuroscience.
数字感,即区分物体数量的能力,对生存至关重要。为了了解神经元如何协同工作并发展以介导数字感,我们使用双光子荧光光片显微镜来捕捉幼虫整个大脑中单个神经元的活动,同时向动物展示视觉数字刺激。我们早在受精后3天就识别出了数字选择性神经元,并发现3天后调谐到更大数量的神经元成比例增加。我们使用机器学习从神经元活动中预测刺激,并观察到预测准确性随着年龄的增长而提高。我们进一步测试了乙醇对数字感的影响,发现前脑数字选择性神经元减少,提示认知障碍。这些发现是朝着理解专门用于离散数量的神经回路迈出的重要一步,并且我们在全脑范围内追踪单神经元活动的方法广泛适用于神经科学的其他领域。