• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

数字视角下的人类大脑:线性放大的灵长类动物大脑。

The human brain in numbers: a linearly scaled-up primate brain.

作者信息

Herculano-Houzel Suzana

机构信息

Instituto de Ciências Biomédicas, Universidade Federal do Rio de Janeiro Rio de Janeiro, Brasil.

出版信息

Front Hum Neurosci. 2009 Nov 9;3:31. doi: 10.3389/neuro.09.031.2009. eCollection 2009.

DOI:10.3389/neuro.09.031.2009
PMID:19915731
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2776484/
Abstract

The human brain has often been viewed as outstanding among mammalian brains: the most cognitively able, the largest-than-expected from body size, endowed with an overdeveloped cerebral cortex that represents over 80% of brain mass, and purportedly containing 100 billion neurons and 10x more glial cells. Such uniqueness was seemingly necessary to justify the superior cognitive abilities of humans over larger-brained mammals such as elephants and whales. However, our recent studies using a novel method to determine the cellular composition of the brain of humans and other primates as well as of rodents and insectivores show that, since different cellular scaling rules apply to the brains within these orders, brain size can no longer be considered a proxy for the number of neurons in the brain. These studies also showed that the human brain is not exceptional in its cellular composition, as it was found to contain as many neuronal and non-neuronal cells as would be expected of a primate brain of its size. Additionally, the so-called overdeveloped human cerebral cortex holds only 19% of all brain neurons, a fraction that is similar to that found in other mammals. In what regards absolute numbers of neurons, however, the human brain does have two advantages compared to other mammalian brains: compared to rodents, and probably to whales and elephants as well, it is built according to the very economical, space-saving scaling rules that apply to other primates; and, among economically built primate brains, it is the largest, hence containing the most neurons. These findings argue in favor of a view of cognitive abilities that is centered on absolute numbers of neurons, rather than on body size or encephalization, and call for a re-examination of several concepts related to the exceptionality of the human brain.

摘要

人类大脑常被视为哺乳动物大脑中的佼佼者

认知能力最强,相对于身体大小而言体积超出预期,拥有过度发达的大脑皮层,其占大脑质量的80%以上,据称包含1000亿个神经元以及数量比神经元多10倍的神经胶质细胞。这种独特性似乎是证明人类相较于大象和鲸鱼等大脑更大的哺乳动物具有卓越认知能力的必要条件。然而,我们最近使用一种新方法来确定人类和其他灵长类动物以及啮齿动物和食虫动物大脑细胞组成的研究表明,由于不同的细胞缩放规则适用于这些目内的大脑,大脑大小不再能被视为大脑中神经元数量的代表。这些研究还表明,人类大脑在细胞组成方面并无特殊之处,因为研究发现其神经元和非神经元细胞的数量与同等大小的灵长类动物大脑预期的数量相同。此外,所谓过度发达的人类大脑皮层仅包含所有脑神经元的19%,这一比例与其他哺乳动物中的比例相似。然而,就神经元的绝对数量而言,人类大脑与其他哺乳动物大脑相比确实具有两个优势:与啮齿动物相比,可能也与鲸鱼和大象相比,它是按照适用于其他灵长类动物的非常经济、节省空间的缩放规则构建的;并且,在经济构建的灵长类动物大脑中,它是最大的,因此包含的神经元最多。这些发现支持了一种以神经元绝对数量为中心的认知能力观点,而非以身体大小或脑化程度为中心,并呼吁重新审视与人类大脑特殊性相关的几个概念。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/806e/2776484/d0969a115e65/fnhum-03-031-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/806e/2776484/fd2e055f29ef/fnhum-03-031-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/806e/2776484/866eaf2c0308/fnhum-03-031-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/806e/2776484/b6b164d83e55/fnhum-03-031-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/806e/2776484/7c1e134b62dd/fnhum-03-031-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/806e/2776484/d0969a115e65/fnhum-03-031-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/806e/2776484/fd2e055f29ef/fnhum-03-031-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/806e/2776484/866eaf2c0308/fnhum-03-031-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/806e/2776484/b6b164d83e55/fnhum-03-031-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/806e/2776484/7c1e134b62dd/fnhum-03-031-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/806e/2776484/d0969a115e65/fnhum-03-031-g005.jpg

相似文献

1
The human brain in numbers: a linearly scaled-up primate brain.数字视角下的人类大脑:线性放大的灵长类动物大脑。
Front Hum Neurosci. 2009 Nov 9;3:31. doi: 10.3389/neuro.09.031.2009. eCollection 2009.
2
The remarkable, yet not extraordinary, human brain as a scaled-up primate brain and its associated cost.作为一个按比例放大的灵长类动物大脑,人类大脑的非凡之处,而非独特之处,及其相关成本。
Proc Natl Acad Sci U S A. 2012 Jun 26;109 Suppl 1(Suppl 1):10661-8. doi: 10.1073/pnas.1201895109. Epub 2012 Jun 20.
3
Gorilla and orangutan brains conform to the primate cellular scaling rules: implications for human evolution.大猩猩和红毛猩猩的大脑符合灵长类动物的细胞缩放规则:对人类进化的启示。
Brain Behav Evol. 2011;77(1):33-44. doi: 10.1159/000322729. Epub 2011 Jan 11.
4
Not all brains are made the same: new views on brain scaling in evolution.并非所有大脑都是一样的:进化中大脑缩放的新观点。
Brain Behav Evol. 2011;78(1):22-36. doi: 10.1159/000327318. Epub 2011 Jun 17.
5
Neuronal scaling rules for primate brains: the primate advantage.灵长类大脑的神经元缩放规则:灵长类优势。
Prog Brain Res. 2012;195:325-40. doi: 10.1016/B978-0-444-53860-4.00015-5.
6
Cellular scaling rules for primate brains.灵长类动物大脑的细胞缩放规则。
Proc Natl Acad Sci U S A. 2007 Feb 27;104(9):3562-7. doi: 10.1073/pnas.0611396104. Epub 2007 Feb 20.
7
Cellular scaling rules of insectivore brains.昆虫脑的细胞比例规则。
Front Neuroanat. 2009 Jun 29;3:8. doi: 10.3389/neuro.05.008.2009. eCollection 2009.
8
Cellular scaling rules for the brain of Artiodactyla include a highly folded cortex with few neurons.偶蹄目动物大脑的细胞缩放规则包括具有较少神经元的高度折叠皮层。
Front Neuroanat. 2014 Nov 12;8:128. doi: 10.3389/fnana.2014.00128. eCollection 2014.
9
The elephant brain in numbers.大象的大脑结构。
Front Neuroanat. 2014 Jun 12;8:46. doi: 10.3389/fnana.2014.00046. eCollection 2014.
10
Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain.神经元细胞和非神经元细胞数量相等,使得人类大脑成为按比例等距放大的灵长类动物大脑。
J Comp Neurol. 2009 Apr 10;513(5):532-41. doi: 10.1002/cne.21974.

引用本文的文献

1
Target the Heart: A New Axis of Alzheimer's Disease Prevention.靶向心脏:阿尔茨海默病预防的新轴
J Dement Alzheimers Dis. 2025 Jun;2(2). doi: 10.3390/jdad2020010. Epub 2025 May 1.
2
Cutting-edge technologies in neural regeneration.神经再生领域的前沿技术。
Cell Regen. 2025 Sep 5;14(1):38. doi: 10.1186/s13619-025-00260-y.
3
Association between FDG- and TSPO-PET signals across human and animal studies investigating neurodegenerative conditions: a systematic review.在调查神经退行性疾病的人类和动物研究中,氟代脱氧葡萄糖(FDG)与转运蛋白18 kDa(TSPO)-正电子发射断层扫描(PET)信号之间的关联:一项系统综述

本文引用的文献

1
Allometric Slopes and Independent Contrasts: A Comparative Test of Kleiber's Law in Primate Ranging Patterns.异速生长斜率与独立对比:灵长类动物分布模式中克莱伯定律的比较检验
Am Nat. 2000 Nov;156(5):519-533. doi: 10.1086/303405.
2
Cellular scaling rules of insectivore brains.昆虫脑的细胞比例规则。
Front Neuroanat. 2009 Jun 29;3:8. doi: 10.3389/neuro.05.008.2009. eCollection 2009.
3
Total number and volume of Von Economo neurons in the cerebral cortex of cetaceans.鲸类大脑皮质中冯·埃科诺莫神经元的总数和体积
Mol Psychiatry. 2025 Sep 4. doi: 10.1038/s41380-025-03160-4.
4
Reviewing vascular influences on neuronal migration, cortical development, and neurodevelopmental disorders: focus on autism, ADHD and schizophrenia.综述血管对神经元迁移、皮质发育及神经发育障碍的影响:聚焦于自闭症、注意力缺陷多动障碍和精神分裂症。
Mol Psychiatry. 2025 Sep 2. doi: 10.1038/s41380-025-03200-z.
5
HCN channels reveal conserved and divergent physiology in supragranular pyramidal neurons in primate species.HCN通道揭示了灵长类动物颗粒上层锥体神经元中保守和不同的生理学特性。
bioRxiv. 2025 Aug 23:2025.08.22.671856. doi: 10.1101/2025.08.22.671856.
6
Changing cognitive chimera states in human brain networks with age: Variations in cognitive integration and segregation.随着年龄增长人类大脑网络中认知嵌合体状态的变化:认知整合与分离的差异
PLoS Comput Biol. 2025 Sep 2;21(9):e1013093. doi: 10.1371/journal.pcbi.1013093. eCollection 2025 Sep.
7
Multifunctional bioelectronics for brain-body circuits.用于脑-体回路的多功能生物电子学。
Nat Rev Bioeng. 2025 Jun;3(6):465-484. doi: 10.1038/s44222-025-00289-3. Epub 2025 Mar 27.
8
Synaptic Vesicle Recycling at the Developing Presynapse.发育中突触前膜的突触小泡循环
J Neurochem. 2025 Aug;169(8):e70206. doi: 10.1111/jnc.70206.
9
Microbiome drives age-dependent shifts in brain transcriptomic programs at the single-cell level in Drosophila.微生物群在果蝇单细胞水平上驱动大脑转录组程序的年龄依赖性变化。
NPJ Biofilms Microbiomes. 2025 Aug 12;11(1):162. doi: 10.1038/s41522-025-00781-z.
10
Deep learning-based cell type profiles reveal signatures of Alzheimer's disease resilience and resistance.基于深度学习的细胞类型图谱揭示了阿尔茨海默病恢复力和抵抗力的特征。
Brain. 2025 Aug 5. doi: 10.1093/brain/awaf285.
J Comp Neurol. 2009 Jul 10;515(2):243-59. doi: 10.1002/cne.22055.
4
Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain.神经元细胞和非神经元细胞数量相等,使得人类大脑成为按比例等距放大的灵长类动物大脑。
J Comp Neurol. 2009 Apr 10;513(5):532-41. doi: 10.1002/cne.21974.
5
Neuroscience: Glia - more than just brain glue.神经科学:神经胶质细胞——不仅仅是大脑的黏合剂。
Nature. 2009 Feb 5;457(7230):675-7. doi: 10.1038/457675a.
6
Von Economo neurons in the elephant brain.大象大脑中的冯·埃科诺莫神经元。
Anat Rec (Hoboken). 2009 Feb;292(2):242-8. doi: 10.1002/ar.20829.
7
Exploring the origins of the human brain through molecular evolution.通过分子进化探索人类大脑的起源。
Brain Behav Evol. 2008;72(2):168-77. doi: 10.1159/000151476. Epub 2008 Oct 7.
8
The basic nonuniformity of the cerebral cortex.大脑皮质的基本不均匀性。
Proc Natl Acad Sci U S A. 2008 Aug 26;105(34):12593-8. doi: 10.1073/pnas.0805417105. Epub 2008 Aug 8.
9
Encephalization, neuronal excess, and neuronal index in rodents.啮齿动物的脑化、神经元过剩和神经元指数
Anat Rec (Hoboken). 2007 Oct;290(10):1280-7. doi: 10.1002/ar.20598.
10
Neocortical glial cell numbers in human brains.人类大脑中的新皮质神经胶质细胞数量
Neurobiol Aging. 2008 Nov;29(11):1754-62. doi: 10.1016/j.neurobiolaging.2007.04.013. Epub 2007 Jun 1.