Anterior olfactory cortices differentially transform bottom-up odor signals to produce inverse top-down outputs

嗅球 气味 梨状皮质 神经科学 前嗅核 嗅觉系统 纹状体 生物 嗅结节 心理学 中枢神经系统 多巴胺
作者
David Wolf,Lars-Lennart Oettl,Laurens Winkelmeier,Christiane Linster,Wolfgang Kelsch
出处
期刊:The Journal of Neuroscience [Society for Neuroscience]
卷期号:44 (44): e0231242024-e0231242024
标识
DOI:10.1523/jneurosci.0231-24.2024
摘要

Odor information arrives first in the main olfactory bulb and is then broadcasted to the olfactory cortices and striatum. Downstream regions have unique cellular and connectivity architectures that may generate different coding patterns to the same odors. To reveal region-specific response features, tuning and decoding of single-unit populations, we recorded responses to the same odors under the same conditions across regions, namely, the main olfactory bulb (MOB), the anterior olfactory nucleus (AON), the anterior piriform cortex (aPC), and the olfactory tubercle of the ventral striatum (OT), of awake male mice. We focused on chemically closely related aldehydes that still create distinct percepts. The MOB had the highest decoding accuracy for aldehydes and was the only region encoding chemical similarity. The MOB had the highest fraction of inhibited responses and narrowly tuned odor-excited responses in terms of timing and odor selectivity. Downstream, the interconnected AON and aPC differed in their response patterns to the same stimuli. While odor-excited responses dominated the AON, the aPC had a comparably high fraction of odor-inhibited responses. Both cortices share a main output target that is the MOB. This prompted us to test if the two regions convey also different net outputs. Aldehydes activated AON terminals in the MOB as a bulk signal but inhibited those from the aPC. The differential cortical projection responses generalized to complex odors. In summary, olfactory regions reveal specialized features in their encoding with AON and aPC differing in their local computations, thereby generating inverse net centrifugal and intercortical outputs.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Joy完成签到,获得积分10
1秒前
仙女完成签到 ,获得积分10
3秒前
正一笑完成签到,获得积分10
5秒前
魁梧的沛萍完成签到 ,获得积分10
6秒前
8秒前
小瑄完成签到 ,获得积分10
10秒前
zz发布了新的文献求助10
13秒前
文献狗完成签到,获得积分10
15秒前
16秒前
清爽念柏完成签到 ,获得积分10
16秒前
17秒前
舒仲完成签到,获得积分10
18秒前
21秒前
王柯完成签到 ,获得积分10
22秒前
yindi1991完成签到 ,获得积分10
22秒前
23秒前
Robby完成签到 ,获得积分10
23秒前
23秒前
li完成签到,获得积分10
25秒前
董家旭发布了新的文献求助10
27秒前
贪玩的秋柔举报liujinjin求助涉嫌违规
29秒前
aixiaoming0503完成签到,获得积分10
29秒前
顺顺顺完成签到,获得积分10
31秒前
34秒前
罗格朗因完成签到 ,获得积分10
36秒前
SciGPT应助董家旭采纳,获得10
37秒前
光之战士完成签到 ,获得积分10
38秒前
小昊完成签到,获得积分10
39秒前
39秒前
852应助温暖元容采纳,获得10
42秒前
懒得起名字完成签到 ,获得积分10
42秒前
彦凝毓完成签到,获得积分10
45秒前
这么年轻压根睡不着完成签到 ,获得积分10
45秒前
大个应助科研通管家采纳,获得10
46秒前
小马甲应助科研通管家采纳,获得10
46秒前
斯文败类应助科研通管家采纳,获得50
46秒前
科研通AI2S应助科研通管家采纳,获得10
46秒前
46秒前
nicebro完成签到,获得积分10
46秒前
bkagyin应助科研通管家采纳,获得30
47秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 生物化学 化学工程 物理 计算机科学 复合材料 内科学 催化作用 物理化学 光电子学 电极 冶金 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6021843
求助须知:如何正确求助?哪些是违规求助? 7636970
关于积分的说明 16167100
捐赠科研通 5169682
什么是DOI,文献DOI怎么找? 2766529
邀请新用户注册赠送积分活动 1749627
关于科研通互助平台的介绍 1636662