Dissociating neuronal signatures of spatial attention and behavioural state in the primary vibrissal cortex of mice

Author:

Dyce Guthrie1,Singh Taylor1,Mattingley Jason2ORCID,Arabzadeh Ehsan1ORCID

Affiliation:

1. Australian National University

2. The University of Queensland

Abstract

Abstract

The prioritisation and selective processing of information is imperative to survival. One form of prioritisation, known as spatial attention, allows an animal to selectively process sensory input based on its location. While spatial attention is known to produce changes in neuronal representation, it is unclear whether these changes occur as early as the primary sensory cortex. It is also not clear whether changes induced by selective spatial attention differ from those observed with non-selective fluctuations in arousal. To study attention, the rodent whisker system represents a structurally elegant, and functionally efficient alternative to the often-studied primate visual system. Here, we implemented a novel, ecologically relevant paradigm to incorporate spatial attention in a whisker vibration detection task in mice. We demonstrated that mice (n = 11) exhibit spatially selective evidence accumulation behaviour within their responses to single vibration stimuli, across their responses to tens of stimuli, and throughout each day of training. To dissociate the neuronal signatures of spatial attention from those of spatially non-specific behavioural state, we recorded 1461 responsive neurons in the primary vibrissal cortex (vS1) as mice engaged in the detection task. The strength of neuronal responses to vibrissal stimulation correlated significantly with spatial attention, but not with spatially non-specific behavioural state. We found that spatial attention elevates both baseline neuronal activity and a later (200–600 ms) component of evoked responses to whisker vibrations. These results have implications for the microcircuitry of spatial attention in vS1 and value-driven attentional capture in mice.

Publisher

Research Square Platform LLC

Reference80 articles.

1. Neural Mechanisms of Selective Visual Attention;Moore T;Annu Rev Psychol,2017

2. Giordano AM, McElree B, Carrasco M On the automaticity and flexibility of covert attention: A speed-accuracy trade-off analysis. Journal of Vision 9, doi:Artn 30

3. 3 1167/9.3.30, Maunsell JHR, Cohen MR, Maunsell JH, Buschman TJ, Miller EK, Landman P, Liang R, H., Desimone R (2009) Neuronal Mechanisms of Visual Attention. Annual Review of Vision Science, Vol 1 1, 373–391, doi:10.1146/annurev-vision-082114-035431 (2015). 4 Morgan, S. T., Hansen, J. C. & Hillyard, S. A. Selective attention to stimulus location modulates the steady-state visual evoked potential. Proc Natl Acad Sci U S A 93, 4770–4774 (1996). 5 Cohen, M. R., Maunsell, J. H. Attention improves performance primarily by reducing interneuronal correlations. Nat Neurosci 12, 1594–1600, 10.1038/nn.2439 (2009). 6 Fries, P., Reynolds, J. H., Rorie, A. E. & Desimone, R. Modulation of oscillatory neuronal synchronization by selective visual attention. Science 291, 1560–1563, doi:10.1126/science.291.5508.1560 (2001). 7 Buschman, T. J., Miller, E. K. Top-down versus bottom-up control of attention in the prefrontal and posterior parietal cortices. Science 315, 1860–1862, doi:10.1126/science.1138071 (2007). 8 Speed, A. & Haider, B. Probing mechanisms of visual spatial attention in mice. Trends in Neurosciences 44, 822–836, doi:10.1016/j.tins.2021.07.009 (2021). 9 Buffalo, E. A., Fries, P., Landman, R., Liang, H. & Desimone, R. A backward progression of attentional effects in the ventral stream. Proc Natl Acad Sci U S A 107, 361–365, doi:10.1073/pnas.0907658106 (2010). 10 Wang, L. & Krauzlis, R. J. Visual Selective Attention in Mice. Curr Biol 28, 676–685 e674, doi:10.1016/j.cub.2018.01.038 (2018)

4. State-Dependent Changes in Perception and Coding in the Mouse Somatosensory Cortex;Lee CCY;Cell Rep,2020

5. Behavioral detection of passive whisker stimuli requires somatosensory cortex;Miyashita T;Cereb Cortex,2013

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3