India Gets a Seat at the Table of Human Brain Cartography

IF 2.3 4区 医学 Q3 NEUROSCIENCES
Suzana Herculano-Houzel
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The contribution is DHARANI, a freely accessible, digital, micrometric-resolution, three-dimensional atlas of the developing fetal human brain, currently available for five gestational ages during the second trimester, and the newcomer is what is shaping up to become a new player at the high-stakes table of human brain map-making: the Sudha Gopalakrishnan Brain Center (SGBC) of the Indian Institute of Technology Madras, the Indian equivalent of the Allen Institute of Brain Science in the United States.</p><p>Five hundred years ago, Europeans expanded the conceptual boundaries of the world that they could represent in their minds by navigating into unknown waters, whilst updating their maps of lands and seas: charts that depicted side by side on paper what they experienced side by side in the world. The word comes from <i>mappa</i>, the word in medieval Latin for the table napkin or cloth upon which those maps would be unrolled and examined. 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Capturing the intricacies of the anatomical organization of the human brain thus requires cutting it into series of very thin sections which can then be stained for contrast (for, cut thin, brain tissue is transparent, with hardly any visible features), placed into a system of Ptolomaic coordinates (or no navigation, mental or physical, will be possible), observed for features that can be described and later identified by others (or the images are of no more than just that: images), and then, finally, organized systematically into a stack that reconstructs the third dimension of that brain. That systematic stack of maps is an atlas.</p><p>The Allen Institute for Brain Science released in 2006 the Allen Brain Atlas, a fully digital (and digital-only) compendium of maps of expression of more than 21,000 genes in the adult mouse brain, generated at the combined cost of 41 million dollars over 3 years (Brill <span>2006</span>). Ten years later, the institute published, in <i>The Journal of Comparative Neurology</i>, the Allen Human Brain Reference Atlas (Ding, Royall, and Sunkin <span>2016</span>), in an unprecedented 350-page stand-alone issue. That was an atlas of a single adult female human brain hemisphere subjected to a combination of magnetic resonance imaging and diffusion tensor imaging, followed by cutting into slabs, sectioning each slab into a series of 50 micron-thick slices, processing the slices for histology, then delineating their anatomy and annotating known brain structures. The entire enterprise took five years from start to finish, producing an opus of 1356 plates, 106 of which annotated in their 862 brain structures.</p><p>Of course, feats of such monumental magnitude cannot be achieved through standard competitive funding opportunities awarded to independent laboratories. Although it now operates on competitively acquired federal and private grants, the Allen Institute for Brain Science was launched in 2003 with a 100-million dollar donation by Microsoft co-founder and philanthropist Paul G. Allen, followed by an additional 300 million in 2012. Through the Institute, those funds were geared toward the goal of generating freely available data on the brain that could not be obtained otherwise, and that would catalyze brain research in multiple fronts. Those were the funds that led to the completion of the Allen Human Brain Reference Atlas.</p><p>Enter DHARANI, which stands for “A 3D Developing Human-brain Atlas Resource to Advance Neuroscience Internationally”, and pays tribute to the Hindu goddess of the Earth and of beginnings—like the developing brain. 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引用次数: 0

Abstract

In this Special Issue, The Journal of Comparative Neurology is proud to bring to the scientific community a monumental contribution that comes not from the usual Western power players in the business of generating knowledge about the brain, but from an unexpected newcomer. The contribution is DHARANI, a freely accessible, digital, micrometric-resolution, three-dimensional atlas of the developing fetal human brain, currently available for five gestational ages during the second trimester, and the newcomer is what is shaping up to become a new player at the high-stakes table of human brain map-making: the Sudha Gopalakrishnan Brain Center (SGBC) of the Indian Institute of Technology Madras, the Indian equivalent of the Allen Institute of Brain Science in the United States.

Five hundred years ago, Europeans expanded the conceptual boundaries of the world that they could represent in their minds by navigating into unknown waters, whilst updating their maps of lands and seas: charts that depicted side by side on paper what they experienced side by side in the world. The word comes from mappa, the word in medieval Latin for the table napkin or cloth upon which those maps would be unrolled and examined. The mappa mundi was thus the flat napkin-like representation of the world.

Maps of the brain, in the form of illustrations that depict the spatial arrangement of the structures that form a brain, have existed for at least 500 years, ever since humans began to suspect that the intricate contents of our minds had something to do with the particular arrangement of that bloody soft matter that we carry inside our skulls (Scatliff and Johnston 2014). Keeping a record of the brains that one sees is no longer an issue; nowadays, humans carry in their pockets the technology that allows for the direct capture and later observation of images of brains exposed to study. Moreover, any laboratory with a decent microscope can produce beautiful images of whole thin sections of mouse brains by stitching together a handful of snapshots—for, seen through an objective high-powered enough that individual neurons can be observed, even the tiny mouse brain does not fit whole through the lenses.

Modern brain map-making is something else entirely, which goes beyond simple image capturing and representation. The brain, unlike the surface of the planet, is a complex three-dimensional structure, whereas our practical means to represent and observe it remain two-dimensional, like in the original mappas. Capturing the intricacies of the anatomical organization of the human brain thus requires cutting it into series of very thin sections which can then be stained for contrast (for, cut thin, brain tissue is transparent, with hardly any visible features), placed into a system of Ptolomaic coordinates (or no navigation, mental or physical, will be possible), observed for features that can be described and later identified by others (or the images are of no more than just that: images), and then, finally, organized systematically into a stack that reconstructs the third dimension of that brain. That systematic stack of maps is an atlas.

The Allen Institute for Brain Science released in 2006 the Allen Brain Atlas, a fully digital (and digital-only) compendium of maps of expression of more than 21,000 genes in the adult mouse brain, generated at the combined cost of 41 million dollars over 3 years (Brill 2006). Ten years later, the institute published, in The Journal of Comparative Neurology, the Allen Human Brain Reference Atlas (Ding, Royall, and Sunkin 2016), in an unprecedented 350-page stand-alone issue. That was an atlas of a single adult female human brain hemisphere subjected to a combination of magnetic resonance imaging and diffusion tensor imaging, followed by cutting into slabs, sectioning each slab into a series of 50 micron-thick slices, processing the slices for histology, then delineating their anatomy and annotating known brain structures. The entire enterprise took five years from start to finish, producing an opus of 1356 plates, 106 of which annotated in their 862 brain structures.

Of course, feats of such monumental magnitude cannot be achieved through standard competitive funding opportunities awarded to independent laboratories. Although it now operates on competitively acquired federal and private grants, the Allen Institute for Brain Science was launched in 2003 with a 100-million dollar donation by Microsoft co-founder and philanthropist Paul G. Allen, followed by an additional 300 million in 2012. Through the Institute, those funds were geared toward the goal of generating freely available data on the brain that could not be obtained otherwise, and that would catalyze brain research in multiple fronts. Those were the funds that led to the completion of the Allen Human Brain Reference Atlas.

Enter DHARANI, which stands for “A 3D Developing Human-brain Atlas Resource to Advance Neuroscience Internationally”, and pays tribute to the Hindu goddess of the Earth and of beginnings—like the developing brain. Mapping something that changes over time, such as the developing brain, poses the additional challenge to map-making of identifying and keeping track of structures as they first form, then grow and morph into their adult configuration. Charting a developing brain thus takes map-making into even more complex and expensive waters.

It is no wonder, then, that DHARANI, the second human brain atlas that The Journal of Comparative Neurology presents to the scientific community, was delivered by a brain research center created with the single specific purpose of mapping the human brain on a cellular level through its entire lifespan, powered by a large-scale multi-disciplinary effort in the fields of science, technology, computing, and medicine. That research center is the SGBC, launched as a joint initiative of the Office of the Principal Scientific Adviser of the Government of India and private philanthropists Kris and Sudha Gopalakrishnan in the top-ranked technology institution in India, the Indian Institute of Technology Madras.

DHARANI is now the largest publicly accessible digital dataset of the human fetal brain, created with less than 1/10 of the initial funds that powered the Allen Brain Atlas, and with a technology platform that was entirely custom-made in India between 2020 and 2022, during the COVID pandemic. Featuring 5132 plates of developing human brains at gestational weeks 14, 17, 21, 22, and 24, 466 of which fully annotated to cover ∼500 brain structures as they form (Figure 1), DHARANI is freely available as an online resource for scientists around the globe at https://brainportal.humanbrain.in/publicview/index.html.

The Indian Institute of Technology Madras thus joins the Allen Brain Institute, and India joins the United States, at the table of human brain cartography, where large sums are invested in the name of providing humankind with freely available atlases of the available knowledge about the structures that compose the human brain. Besides extending DHARANI to include more developmental ages, the SGBC is currently adding region-specific cell types to the database, and in the future will include developmental trajectories of brain structures revealed by three-dimensional morphometry.

Importantly, while DHARANI calls itself an atlas, it is in actuality the beginnings of a meta-atlas, something for which there is not even a word yet. Just like an atlas is a series of maps, in a flip-chart of sorts that allows the browser to reconstitute the three dimensions of a brain in their mind, what lies ahead, as DHARANI continues to grow, is an atlas of atlases: a platform to visualize the brain, in all its complex glory, as it morphs into its adult self.

Abstract Image

印度在人类大脑制图中占有一席之地
在本期特刊中,《比较神经病学杂志》自豪地为科学界带来了一个巨大的贡献,这个贡献不是来自通常的西方强国,而是来自一个意想不到的新人。贡献是DHARANI,一个免费获取的,数字化的,微分辨率的,胎儿大脑发育的三维地图集,目前可用于妊娠中期的五个胎龄,而这个新来者正在成为人类大脑地图制作的高风险桌上的新玩家。马德拉斯印度理工学院的苏达·戈帕拉克里什南大脑中心(SGBC),相当于美国的艾伦脑科学研究所。500年前,欧洲人通过航行到未知的水域,扩大了他们在头脑中可以代表的世界的概念边界,同时更新了他们的陆地和海洋地图:这些地图在纸上并列地描绘了他们在世界上的经历。这个词来自mappa,在中世纪拉丁语中是餐巾或桌布的意思,用来展开和检查地图。因此,世界地图(mappa mundi)就是像餐巾一样的平面世界的代表。自从人类开始怀疑我们大脑中复杂的内容与我们头骨中血腥的软物质的特殊排列有关以来,以插图形式描绘形成大脑结构的大脑地图已经存在了至少500年(Scatliff and Johnston 2014)。记录一个人看到的大脑不再是一个问题;如今,人们随身携带的技术可以直接捕捉和随后观察暴露在研究中的大脑图像。此外,任何一个实验室只要有一台像样的显微镜,就可以通过把几张快照拼接在一起,就能得到老鼠大脑的整个薄片的美丽图像——因为,通过一个足够高的物镜观察到的单个神经元,即使是很小的老鼠大脑也不能完全通过透镜。现代大脑地图制作完全是另一回事,它超越了简单的图像捕捉和表现。与地球表面不同,大脑是一个复杂的三维结构,而我们实际表现和观察它的手段仍然是二维的,就像在原始地图上一样。因此,捕捉人类大脑的复杂解剖组织需要将其切成一系列非常薄的切片,然后可以染色进行对比(因为,切得很薄,脑组织是透明的,几乎没有任何可见的特征),将其放入托勒密坐标系统中(或者没有导航,精神或身体,将是可能的),观察可以描述并稍后被其他人识别的特征(或者图像仅仅是:图像),然后,最后,系统地组织成一个堆栈,重建大脑的第三个维度。这套系统的地图就是地图集。艾伦脑科学研究所于2006年发布了艾伦大脑图谱,这是一个完全数字化的(仅数字化的)汇编,包含成年小鼠大脑中超过21,000个基因的表达图谱,在3年的时间里总共花费了4100万美元(Brill 2006)。十年后,该研究所在《比较神经病学杂志》(the Journal of Comparative Neurology)上发表了艾伦人脑参考图谱(Ding, Royall, and Sunkin 2016),这是一份前所未有的350页的独立期刊。这是一个成年女性大脑半球的图谱,经过磁共振成像和弥散张量成像的结合,然后切割成薄片,将每块薄片切成一系列50微米厚的薄片,对薄片进行组织学处理,然后描绘出它们的解剖结构并注释已知的大脑结构。整个事业从开始到结束花了五年时间,制作了1356幅版画,其中106幅在他们的862个大脑结构上进行了注释。当然,如此巨大的成就不可能通过授予独立实验室的标准竞争性资助机会来实现。虽然艾伦脑科学研究所现在依靠竞争性获得的联邦和私人资助运作,但该研究所于2003年成立,当时微软联合创始人兼慈善家保罗·g·艾伦捐赠了1亿美元,2012年又捐赠了3亿美元。通过该研究所,这些资金的目标是产生免费的大脑数据,而这些数据是无法通过其他方式获得的,这将促进多方面的大脑研究。这些资金促成了艾伦人脑参考图谱的完成。 进入DHARANI,它代表“3D开发人类大脑图谱资源,以推进神经科学的国际发展”,并向印度大地女神和开始-如发育中的大脑致敬。绘制一些随着时间而变化的东西,比如发育中的大脑,对绘制地图提出了额外的挑战,即识别和跟踪结构,因为它们最初形成,然后生长并演变成它们的成年结构。因此,绘制发育中的大脑将地图制作带入了更加复杂和昂贵的领域。因此,《比较神经病学杂志》向科学界展示的第二份人类大脑图谱《DHARANI》是由一个大脑研究中心提供的,该中心的创建目的只有一个,即在细胞水平上绘制人类大脑的整个生命周期,该中心由科学、技术、计算和医学领域的大规模多学科努力提供动力。这个研究中心就是SGBC,它是印度政府首席科学顾问办公室和私人慈善家Kris和Sudha Gopalakrishnan在印度排名最高的科技机构——马德拉斯印度理工学院的联合倡议发起的。达拉尼现在是可公开访问的最大的人类胎儿大脑数字数据集,其创建资金不到艾伦大脑图谱初始资金的十分之一,其技术平台是在2020年至2022年COVID大流行期间在印度完全定制的。以5132张妊娠14、17、21、22和24周发育中的人类大脑板为特征,其中466张完全注释,覆盖了形成时的约500个大脑结构(图1),DHARANI是全球科学家免费获得的在线资源,网址为https://brainportal.humanbrain.in/publicview/index.html.The印度理工学院马德拉斯因此加入了艾伦大脑研究所,印度加入了美国,在人脑制图表上。在那里,大量的资金以向人类提供免费获取的关于人类大脑结构的现有知识的地图集的名义投入。除了将DHARANI扩展到更多的发育年龄之外,SGBC目前正在向数据库中添加区域特异性细胞类型,未来将包括三维形态测定法揭示的大脑结构的发育轨迹。重要的是,虽然《达拉尼》自称是一本地图集,但它实际上是元地图集的开端,甚至还没有一个词来形容它。就像地图集是由一系列的地图组成,以一种挂图的形式让浏览器在他们的脑海中重建大脑的三维一样,随着DHARANI的不断发展,摆在面前的是一个地图集的地图集:一个可视化大脑的平台,在它所有复杂的荣耀中,当它演变成它的成人自我。
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来源期刊
CiteScore
5.80
自引率
8.00%
发文量
158
审稿时长
3-6 weeks
期刊介绍: Established in 1891, JCN is the oldest continually published basic neuroscience journal. Historically, as the name suggests, the journal focused on a comparison among species to uncover the intricacies of how the brain functions. In modern times, this research is called systems neuroscience where animal models are used to mimic core cognitive processes with the ultimate goal of understanding neural circuits and connections that give rise to behavioral patterns and different neural states. Research published in JCN covers all species from invertebrates to humans, and the reports inform the readers about the function and organization of nervous systems in species with an emphasis on the way that species adaptations inform about the function or organization of the nervous systems, rather than on their evolution per se. JCN publishes primary research articles and critical commentaries and review-type articles offering expert insight in to cutting edge research in the field of systems neuroscience; a complete list of contribution types is given in the Author Guidelines. For primary research contributions, only full-length investigative reports are desired; the journal does not accept short communications.
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