丹妮尔-巴塞特 物理学家

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Danielle Bassett
Physicist | Class of 2014
Applying mathematical approaches to the analysis and modeling of brain connectivity and enhancing our understanding of how these connections give rise to the functions the brain performs.


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Title
Physicist
Affiliation
University of Pennsylvania
Location
Philadelphia, Pennsylvania
Age
32 at time of award
Area of Focus
Physics, Neuroscience and Neurobiology
Website
Bassett Lab
University of Pennsylvania: Danielle Bassett
Social
Twitter
Published September 17, 2014
ABOUT DANIELLE'S WORK
Danielle Bassett is a physicist using tools from network science and complex systems theory to enhance our understanding of connectivity and organizational principles in the human brain. Combining a strong background in physics with training and collaborations in neuroscience, Bassett adapts mathematical approaches associated with the study of complex networks (such as computer or social networks) to analyze interactions among neurons in different regions of the brain while a person does certain activities (e.g., learn something new or try to remember a face), thereby unraveling how these connections give rise to the functions or jobs the brain performs.

With her standard-setting work on graph theoretic characterizations of interconnections within the brain—and, importantly, how those connections change over time and under varying conditions—Bassett determines the specific relationship between network organization and cognitive ability. Using brain imaging data of people learning a motor task over three distinct time periods, Bassett and colleagues found that a person’s ability to learn can be predicted based on the brain’s flexibility, or the ability of different areas of the brain to connect in different combinations, and precision in identifying existing brain functions that can be used to accomplish the new behavior.

Bassett complemented this work on dynamic reconfiguration of brain networks over time by illustrating how functional connectivity in the brain is modified by memory and language processing, and by psychiatric diseases such as schizophrenia. With additional lines of research focused on dynamics in social and physical networks, including decision making among large populations during evacuations and sound propagation through granular materials, Bassett is not only revealing new insights regarding learning, disease diagnostics and therapeutics, and treatment of brain injury, but she is also making contributions to disciplines as far-ranging as cell biology, materials science, and social systems.

BIOGRAPHY
Danielle Bassett received a B.S. (2004) from Pennsylvania State University and a Certificate of Postgraduate Study (2005) and Ph.D. (2009) from the University of Cambridge. She was a postdoctoral associate (2009–2011) and a Sage Junior Research Fellow (2011–2013) at the University of California, Santa Barbara, before joining the faculty of the University of Pennsylvania, where she is currently the Skirkanich Assistant Professor of Innovation in the Department of Bioengineering. Her scientific papers have appeared in such journals as the Proceedings of the National Academy of Sciences (PNAS), Neuron, Physical Review E, Trends in Cognitive Sciences, and Chaos, among others.



丹妮尔-巴塞特
物理学家 | 2014级
将数学方法应用于大脑连接的分析和建模，并加强我们对这些连接如何产生大脑功能的理解。


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标题
物理学家
工作单位
宾夕法尼亚大学
工作地点
费城，宾夕法尼亚州
年龄
获奖时32岁
重点领域
物理学、神经科学和神经生物学
网站
巴塞特实验室
宾夕法尼亚大学。丹尼尔-巴塞特
社会
推特
发表于2014年9月17日
关于丹妮尔的工作
丹妮尔-巴塞特是一位物理学家，她利用网络科学和复杂系统理论的工具来加强我们对人脑中的连接性和组织原则的理解。结合强大的物理学背景与神经科学的培训和合作，巴塞特调整了与复杂网络（如计算机或社交网络）研究相关的数学方法，以分析一个人在做某些活动（如学习新东西或试图记住一张脸）时大脑不同区域的神经元之间的相互作用，从而解开这些连接如何产生大脑的功能或工作。

凭借她在大脑内部互连的图论特征方面的标准制定工作，以及重要的是，这些连接如何随着时间和不同条件的变化而变化，巴塞特确定了网络组织和认知能力之间的具体关系。利用人们在三个不同时期学习一项运动任务的大脑成像数据，巴塞特及其同事发现，一个人的学习能力可以根据大脑的灵活性，或大脑不同区域以不同组合连接的能力，以及识别可用于完成新行为的现有大脑功能的精确度来预测。

巴塞特通过说明大脑中的功能连接是如何被记忆和语言处理以及精神疾病（如精神分裂症）所改变，补充了这项关于大脑网络随时间变化的动态重构工作。巴塞特的研究重点是社会和物理网络的动态，包括疏散过程中大量人群的决策和声音在颗粒材料中的传播，她不仅揭示了有关学习、疾病诊断和治疗以及脑损伤治疗的新见解，而且还对细胞生物学、材料科学和社会系统等广泛的学科做出了贡献。

个人简历
丹妮尔-巴塞特在宾夕法尼亚州立大学获得学士学位（2004年），在剑桥大学获得研究生学习证书（2005年）和博士学位（2009年）。在加入宾夕法尼亚大学之前，她曾在加州大学圣巴巴拉分校担任博士后助理（2009-2011年）和圣人初级研究员（2011-2013年），目前是生物工程系Skirkanich创新助理教授。她的科学论文发表在《美国国家科学院院刊》（PNAS）、《神经元》、《物理评论E》、《认知科学趋势》、《混沌》等期刊上。