2020全球“脑骇客”活动
(北京/南宁)

Brainhack Beijing & Nanning

December 12th - 18th, 2020

Beijing Normal University, Beijing
Nanning Normal University, Nanning

Information

Brainhack 2020 (Beijing & Nanning) 将于2020年12月12日起在北京市与广西壮族自治区南宁市同时举办。这将是一个为期一周的学术交流活动,活动全程可通过网络在线参加。

Brainhack是一种能够在轻松愉悦的氛围中学习知识,掌握技能、交流学术的独特的开放科学会议形式,其目的在于搭建一个联系数据科学和神经科学研究领域之间的桥梁,将不同国家地区、不同学科背景的研究人员聚集在一起,共同探讨脑科学相关的项目与创新研究。

Brainhack不同于一般的学术会议,在这里,参会者可以积极地参与到感兴趣的项目中来,相互学习;也可以积极地尝试去创造项目,分享研究经验,而不仅仅是被动地听课。因为能够向广大参与者提供专业性的学习平台和开放式的交流氛围,Brainhack自从创立以来,深受国际脑科学领域的推崇。

本次Brainhack的交流内容包含(不限于):大脑生长发育图谱的转化应用、个体差异性研究、可重复性研究、大数据资源、纵向数据采集实验设计和干预等。作为一个代表性基本资源,“彩巢计划—成长在中国”的学龄儿童大脑生长发育图表数据将向报名相关项目的所有参与者开放,助力脑骇客的探索计划。

参与本次Brainhack,您将有机会:
- Listen:聆听来自北京师范大学、美国儿童心理研究所、新加坡国立大学、中国科学院心理研究所、北京邮电大学、浙江大学等多所高校的脑成像领域研究者分享的学术报告与研究进展;
- Share:向其他研究者分享你的研究,或分享你自己的工具和数据;
- Learn:尝试使用他人提供的数据或工具,学习如何将最新的计算工具应用到脑成像数据中;
- Social:与其他来自世界各地的脑成像研究者和心理学研究者探讨疑难问题,交流思想心得。

Talks

左西年博士

“BrainHack的历史、现在和未来”

胡传鹏博士

“可重复性宣言与开放式科学实践”

孔祥祯博士

“大型人脑偏侧化研究及可重复性”

徐 婷博士

“人脑神经影像测量的信效度理论”

何 叶博士

“自闭症脑连接组研究与可重复性”

严超赣博士

“基于人脑影像大数据的性别与AD预测器”

左西年博士

“学龄儿童青少年脑生长发育资源”

Brainhack 2020 Beijing & Nanning will focus its events on the translational applications of the brain growth charts. We are thus inviting all the researchers to participate this event and practice the open science. As a basic resource, the normative data of the brain development across school age will be opened to all the participants who submit a relevant project. This is a one-week hack event including sessions for education course, project team building and summarizing report. 

The purpose of Brainhack is to bridge the data science and neuroscience research communities to advance the progress of brain science research. Brainhack is a unique conference that convenes researchers from across the globe and myriad disciplines to work together on innovative projects related to neuroscience.

Brainhack Global is dedicated to a harassment-free conference experience for everyone. Our anti-harassment policy can be found here: Code of Conduct

Schedule

会议使用腾讯会议软件在线举行

腾讯会议 ID:610 2578 9301

December 12th
9:00-9:20 欢迎词
左西年:“BrainHack的历史、现在和未来。”
9:20-10:20 胡传鹏:“可重复性与开放式科学实践”
报告45分钟+提问15分钟
10:30-11:30 严超赣:“基于人脑影像大数据的性别与AD预测器”
报告45分钟+提问15分钟
13:00-15:00 第一轮项目介绍
Hacking项目负责人:项目情况介绍,队员招募
15:00-17:00 组队和项目开展
December 13th
9:00-10:00 徐 婷:“人脑神经影像测量的信效度理论”
报告45分钟+提问15分钟
10:10-11:10 孔祥祯:“大型人脑偏侧化研究及可重复性”
报告45分钟+提问15分钟
13:00-15:00 第二轮项目介绍
Hacking项目负责人:项目情况介绍,队员招募
15:00-17:00 组队和项目开展
December 14th
9:00-10:00 何叶:“自闭症脑连接组研究与可重复性”
报告45分钟+提问15分钟
10:10-11:10 左西年:“学龄儿童青少年脑生长发育资源”
报告45分钟+提问15分钟
13:00-15:00 第三轮项目介绍
Hacking项目负责人:项目情况介绍,队员招募
15:00-17:00 组队和项目开展
December 15th - 17th
9:00-12:00 分组讨论,各Hacking项目推进
13:00-17:00 分组讨论,各Hacking项目推进
December 18th
10:00-12:00 Hacking项目报告和展示
13:00-16:30 Hacking项目报告和展示
16:30-17:00 结束语

Projects

Charting growth of human Basal Ganglia and thalamus at school age

Xi-Nian Zuo

Using the longitudinal samples from the Color Nest project - growing up in China, I will model the growth charts of both morphology and function for human Basal Ganglia and thalamus across development.

Details

- Programming languages:
Matlab, R

A list of requirements for taking part in the project (education level / English level /all the informat on you consider important for participants)
neuroimaging, development psychology, psychiatry

- Preferred maximal number of participants:
3

- How many non-programming participants can join you during your project, what profession can they be?
writers and designers

A Method for Harmonizing Test-retest Multi-scanner Imaging Data

Yinshan Wang

Harmonizing MRI data that acquired from multi-scanners may help reduce non-biological bias. ComBat (named for \combining batches") is an empirical Bayesian method for data harmonization that was originallydesigned for genomics (Johnson et al., 2007). It has recently been adapted to neuroimaging studies and applied to diverse data types including diffusion tensor imaging (DTI) (Fortin et al., 2017), cortical thicknesses (Fortinet al., 2018), functional connectivity measurements (Yu et al., 2018), and radiomic features derived from positron emission tomography (PET) imaging (Orlhac et al., 2018).

Details

- Programming languages:
Matlab, R

- A list of requirements for taking part in the project (education level / English level /all the informat on you consider important for participants)
1. Chinese: Good 2. Programming languages: R 3. Knowledge related Freesurfer thickness analysis will be good

What participants gain/learn from this project
1. Hands on MRI morphimical analysis 2. Using R to handle repeated measurement data.

- Preferred maximal number of participants:
4

- How many non-programming participants can join you during your project, what profession can they be?
2

The Developmental Trajectories of Schoolchildren's Brain Functional Specialization and its Significance to Cognitive Performance — Taking Verbal Intelligence as an Example

Li-Zhen Chen

Details

Functional homotopy, the high degree of synchrony in spontaneous activity between geometrically corresponding interhemispheric regions, is a fundamental characteristic of the intrinsic functional architecture of the brain. An opposite concept is “functional specialization”. Brain functional specialization emphasizes hemispheric processing, which allows the expanded human brain to minimize between-hemisphere connectivity and distribute domain-specific processing functions. The improvement in functional specialization between hemispheres may enhance the efficiency of cognitive processing. Through the evaluation of functional specialization, the specific cognitive ability can be predicted to some extent. Generally, schoolchildren are a group which is highly concerned by the society. However, rare studies have been conducted to directly examine the development of functional homotopy or functional specialization and their relationship with cognitive performance in this group. Describing the development trajectory of functional specialization in healthy schoolchildren is helpful to identify children with cognitive developmental defects. Although it is well-established that human language functions are mostly lateralized to the left hemisphere of the brain, little is known about the development of such functional specialization. Voxel-mirrored homotopic connectivity (VMHC), a method that quantifies the resting-state FC between each voxel in one hemisphere and its corresponding voxel in the opposite hemisphere, can be used to evaluate the functional specialization between the two hemispheres. In this project, we aim to depict the developmental trajectories of functional specialization in schoolchildren. At the same time, the functional specialization development in verbal related areas and its relationship with verbal intelligence will be evaluated. Through the project, you will gain a basic understanding of the development pattern of functional connectivity between hemispheres and how they can be related to cognitive development, as well as the use of Generalized Additive Mixed Models in longitudinal studies.

- Programming languages:
Matlab, R

- A list of requirements for taking part in the project (education level / English level /all the informat on you consider important for participants)
1. BSc program, or higher 2. English: good 3. Programming languages / other competences: MATLAB/R/FreeSurfer

What participants gain/learn from this project
1. Basic understanding of experimental approaches in neuroscience 2. Hands on session with data analysis 3. Testing their own hypothesis 4. Knowledge about the functional specialization development

A list of 1-5 key papers / online materials summarising the subject:
1. Zuo, X. N., Kelly, C., Di Martino, A., Mennes, M., Margulies, D. S., Bangaru, S., . . . Milham, M. P. (2010). Growing together and growing apart: regional and sex differences in the lifespan developmental trajectories of functional homotopy. J Neurosci, 30(45), 15034-15043.
2. Wang, S., Van der Haegen, L., Tao, L., & Cai, Q. (2019). Brain Functional Organization Associated With Language Lateralization. Cereb Cortex, 29(10), 4312-4320.
3. van Duijvenvoorde, A. C. K., Westhoff, B., de Vos, F., Wierenga, L. M., & Crone, E. A. (2019). A three-wave longitudinal study of subcortical-cortical resting-state connectivity in adolescence: Testing age- and puberty-related changes. Hum Brain Mapp, 40(13), 3769-3783.
4. Dong, H.-M., Castellanos, F. X., Yang, N., Zhang, Z., Zhou, Q., He, Y., . . . Zuo, X.-N. (2020). Charting brain growth in tandem with brain templates at school age. Science Bulletin, 65(22), 1924-1934.

- Preferred maximal number of participants:
4

- How many non-programming participants can join you during your project, what profession can they be?
1

Translating the OHBM COBIDAS MRI into Chinese

Xi-Nian Zuo, Xiao-Wei Han, Xin Di, Xu-Jun Duan, Ye He, Chuan-Peng Hu, Xiang-Zhen Kong, Feng Liu, Jing Sui, Jin-Hui Wang, Ting Xu, Chao-Gan Yan, Han Zhang, Yu-Feng Zang, Jia-Hong Gao

Details

We aim to translate the OHBM Committee on Best Practice in Data Analysis and Sharing (COBIDAS) on MRI, which was completed in 2016, and finally published in Nature Neuroscience (read at http://rdcu.be/pxWt).

- Programming languages:
Some online colliboration platform for team working

- A list of requirements for taking part in the project (education level / English level /all the informat on you consider important for participants)
English and Chinese are both at high level.

What participants gain/learn from this project
Working experience as a team member into a localization project.

A list of 1-5 key papers / online materials summarising the subject:
Best practices in data analysis and sharing in neuroimaging using MRI. Nichols TE, Das S, Eickhoff SB, Evans AC, Glatard T, Hanke M, Kriegeskorte N, Milham MP, Poldrack RA, Poline JB, Proal E, Thirion B, Van Essen DC, White T, Yeo BT. Nat Neurosci. 2017; 20(3):299-303.

- Preferred maximal number of participants:
15 (invited only)

- How many non-programming participants can join you during your project, what profession can they be?
Chinese Writers (max 2)

Your cool Project!

Submit your project!
欢迎携带自己的数据和项目,寻找和匹配项目成员一起推进项目。

Registration

join these projects!
欢迎报名听课学习和参加别人开放的项目,与大家一起动手,一起Hacking!

Get in touch

本次Brainhack 2020 (Beijing & Nanning) 由北京师范大学和南宁师范大学主办。我们诚挚地邀请广大脑成像领域、心理学领域、临床医学和教育科学领域的研究人员报名参与,通过贯彻研究思想、数据资源和计算工具的开放共享进一步推进开放式神经成像研究的发展。

Brainhack Beijing & Nanning is supported by: