Workshop on computational and geospatial approaches to population neuroscience

Workshop on computational and geospatial approaches to population neuroscience

 of the Fudan-KCL Centre for Population Neuroscience (PONS) at ISTBI

 Time: Friday 26th May

Venue: Room 2201, East Guanghua Tower, Fudan Univ

 

Special-session:

8:30—9:15 What does the brain go wrong in Parkinson’s disease and what can we do about it? Peter Brown, Oxford Univ.

 

9:15 – 9:30 Introduction, aims and overview of adolescent neuroimaging genetics studies worldwide, Gunter Schumann, Institute of Psychiatry, Psychology and Neuroscience, King’s College London.

 

9:30 – 10:15 Data E-platform Leveraged for Population Health Improvement (DELPHI), Jay Yang, UCSD

 

10:15—10:30 Coffee break

 

10:30—11:15 Using satellite data to map global urbanization, Ran Goldblatt, UCSD

 

 

11:15—11:45 Adolescent neuroimaging cohort studies in China, Sha Tao, Beijing Normal University

 

11:45—12:45 Lunch (Yan Yuan)

 

12:45 – 13:15 Big data research for brain science, Jianfeng Feng, Fudan Univ.

 

13:15 – 13:45 Cohort study for imaging genetics in China, Chunshui Yu, Tianjin Medical Univ.

 

13:45 – 14:15 Factors influencing subjective well-being of the elderly in Shanghai, Hua Fu, Fudan Univ.

 

14:15 – 14:30 Coffee Break

 

14:30 – 15:00 Geographical and micro-environmental influence on population health in China, Xiaoying Zheng, Peking Univ.

 

15:00 – 16:00 Discussion and implementation

 

Speakers:

 

Peter Brown, PhD

Professor and Director

Medical Research Council Brain Network Dynamics Unit

University of Oxford

Oxford

 

Jianfeng Feng, PhD

Professor and Dean

Institute of Science and Technology for Brain-inspired Intelligence (ISTBI)

Fudan University

Shanghai

 

Hua Fu, PhD

Professor and Director

Fudan Health Communication Institute

School of Public Health

Fudan University

Shanghai

 

Ran Goldblatt, PhD

Dept. of Economics

University of California San Diego (UCSD)

 

Gunter Schumann, MD, PhD

Professor and Director

Centre for Population Neuroscience and Stratified Medicine (PONS)

Institute of Psychiatry, Psychology and Neuroscience

King’s College London

 

Sha Tao, PhD

Professor of Developmental Psychology

State Key Laboratory of Cognitive Neuroscience and Learning

Beijing Normal University

 

Jiue-An (Jay) Yang, PhD

Center for Wireless and Population Health Systems

University of California San Diego

Qualcomm Institute & California Institute for Telecommunications and Information Technology (Calit2)

 

Chunshui Yu MD, PhD

Professor and Head

Department of Radiology

Tianjin Key Laboratory of Functional Imaging

Tianjin Medical University General Hospital

 

Xiaoying Zheng, PhD

Professor and Director

Institute of Population Research,

Peking University

 


Controlling Human Microbiota

Title:           Controlling Human Microbiota

Time       2:30 p.m. Wednesday  2017.5.17

Venue:       Room 1501, East Guanghua Tower.

Speaker:   Yang-Yu Liu, Ph.D.

Channing Division of Network Medicine Brigham and Women’s Hospital and Harvard Medical School

Biography

Yang-Yu Liu is currently an Assistant Professor of Medicine at Harvard Medical School (HMS) and an Associate Scientist at Brigham and Women’s Hospital (BWH). He received his Ph.D. in Physics from University of Illinois at Urbana-Champaign in 2009, with thesis research focusing on phase transitions in disordered magnets. After that, he held positions as Postdoctoral Research Associate and then Research Assistant Professor at the Center for Complex Network Research at Northeaster University, before he joined HMS and BWH in 2013. The primary goal of his recent research has been to combine tools from control theory, network science and statistical physics to address fundamental questions pertaining to the control of complex networks. His work on controllability and observability of complex networks have been featured as a cover story in Nature, a cover story in the PNAS, and received broad media coverage including Nature, Science, ScienceNews, ScienceDaily, Wired, etc. He recently co-authored a review article entitled “Control principles of complex networks”, which has been published in Reviews of Modern Physics. His current research efforts focus on developing multidisciplinary approaches to studying human microbiome from the dynamic systems and control theory perspective. For more information, please visit http://scholar.harvard.edu/yyl/

Abstract:

We coexist with a vast number of microbes—our microbiota—that live in and on our bodies, and play an important role in human physiology and diseases. Propelled by metagenomics and next-generation DNA sequencing technologies, many scientific advances have been made through the work of large-scale, consortium-driven metagenomic projects. Despite these advances, there are still many fundamental questions regarding the dynamics and control of microbiota to be addressed. Indeed, it is well established that human-associated microbes form a very complex and dynamic ecosystem, which can be altered by drastic diet change, medical interventions, and many other factors. The alterability of our microbiome offers opportunities for practical microbiome-based therapies, e.g., fecal microbiota transplantation and probiotic administration, to restore or maintain our healthy microbiota. Yet, the complex structure and dynamics of the underlying ecosystem render the quantitative study of microbiome-based therapies extremely difficult. In this talk, I will discuss our recent theoretical progress on controlling human microbiota [1-4].

References: 

[1] Bashan A, Gibson TE, Friedman J, Carey VJ, Weiss ST, Hohmann EL, Liu Y-Y. Universality of Human Microbial Dynamics. Nature 2016;534:259-262.

[2] Gibson TE, Bashan A, Cao H-T, Weiss ST, Liu Y-Y. On the Origins and Control of Community Types in the Human Microbiome. PLOS Computational Biology 2016;12 (2):e1004688.

[3] Cao H-T, Gibson TE, Bashan A, Liu Y-Y. Inferring Human Microbial Dynamics from Temporal Metagenomics Data: Pitfalls and Lessons. BioEssays 2017;39(2):1600188.

[4] Chen Y, Angulo MT, Liu Y-Y. Revealing complex ecological dynamics via symbolic regression. bioRxiv: https://doi.org/10.1101/074617


脑•智前沿交叉论坛 2017第2期

 人: Tipu Z Aziz

Fellow of Academy of Medical Science

报告人所在单位:英国牛津大学神经外科

简介:英国牛津大学神经外科教授,英国医学科学院院士,国际知名神经外科医生与临床神经科学家,国际功能神经外科领域开拓者。Tipu Aziz教授创立了牛津大学功能神经外科,其开创性工作确定了丘脑底核为帕金森病神经外科手术靶点,并推动了深部脑刺激在帕金森病、肌张力障碍、疼痛、厌食症等神经与精神疾病治疗中的应用。

报告题目: Current and future of deep brain stimulation

报告日期:  2017-4-7 星期五
报告时间:  15:00
报告地点:  邯郸校区光华东主楼1501

报告摘要:

深部脑刺激现状及其未来发展。


组会 (Group Meeting)

Time:2017.2.28 2:00 Tuesday Afternoon

Content:  Students will report their work progress and share the recent literature
Please attend the seminar punctually.

 

Data Work Presentation Paper Reading Paper Reading
2017/2/28 张栌 潘宝宝 张翊
2017/3/7 焦泽宇 马宁宁 王哲
2017/3/14 程帆 张栌 周云逸
2017/3/21 章琳丽 戴付莉 范志鹏
2017/3/28 周群杰 公维康 哈元恺
2017/4/4 王哲 焦泽宇 章琳丽
2017/4/11 张翊 范志鹏 拜昕
2017/4/18 公维康 阮鸿涛 贾雁兵
2017/4/25 哈元恺 周云逸 戴付莉
2017/5/2 范志鹏 哈元恺 王宇
2017/5/9 戴付莉 阮鸿涛 潘宝宝
2017/5/16 拜昕 章琳丽 程帆
2017/5/23 贾雁兵 程帆 焦泽宇
2017/5/30 王宇 周群杰 康鑫
2017/6/6 周云逸 王哲 公维康
注:这只是草拟安排,大家互相之间可根据实际情况调换


脑·智前沿交叉论坛 2017第一场

报 告  人:   Trevor W. Robbins CBE FRS FMedSci
报告人所在单位:英国剑桥大学心理系

简介:英国皇家科学院及医学院两院院士,英国剑桥大学认知科学与实验心理学教授,行为与临床神经科学研究所主任,心理系系主任,英国神经科学学会前主席,Science编委。在认知神经科学、行为神经科学以及精神药理学领域,发表论文800余篇,被ISI Web of Science评为神经科学领域引用次数最多的作者之一。

报告题目一:  The Translational Neuropsychopharmacology of Cognitive Enhancement

报告日期:  2017-3-16 星期四
报告时间:  10:00
报告地点:  科技楼多功能厅

报告摘要:

Problems of translating discoveries in preclinical neuroscience to clinical applications are described in the context of remediating cognitive deficits in a range of disorders, including Alzheimer’s and Parkinson’s diseases, schizophrenia, depression, ADHD and addiction.  I will describe the special utility of the CANTAB computerised neuropsychological battery for the early detection of cognitive deficits in humans and for parallel cross-species studies in animal models. I will illustrate the important concept of validation of animal models by back-translation and describe several successful examples of this taken from studies of cognitive dysfunction in schizophrenia and ADHD. I will illustrate the difficulties of achieving cognitive enhancement without parallel cognitive costs with examples taken from Parkinson’s disease. I will also show how a dimensional approach to psychiatric symptoms, for example, in the treatment of impulsivity, might have utility across several disorders as distinct as ADHD, addiction and Parkinson’s disease.

References:

Cools, R., Barker, R., Sahakian, B.J., Robbins, T.W. (2001) Enhanced or impaired cognitive function in Parkinson’s disease as a function of dopaminergic  medication and task demands.   Cerebral Cortex, 11,1136-1143.

Turner,  D.C.,  Clark,  L., Pomarol-Clotet,  E., McKenna,  P., Robbins,  T.W.  &  Sahakian,  B.J.  (2004) Modafinil  improves  cognition  and  attentional  set  shifting  in  patients  with  chronic  schizophrenia. Neuropsychopharmacology, 29, 1363-1373

Robbins TW, Cools R. (2014) Cognitive deficits in Parkinson’s disease: a cognitive neuroscience perspective.  Movement Disorders, 29(5), 597-607.

Barnett, J, Sahakian, BJ, Robbins, T.W. (2016) The Paired Associate  Learning (PAL) Test: 30 years of CANTAB Translational Neuroscience From Laboratory to Bedside in Dementia Research. In: Translational Neuropsychopharmacology Ed. by TW Robbins & BJ Sahakian, Springer-Verlag,

Bari, A. & Robbins, T.W. (2011) Animal models of ADHD.  Current Topics in Behavioural Neuroscience, 7, 149-185.

Supported by a Wellcome Trust Senior Investigator grant to TWR: 104631Z/14/Z

报告题目二: Fractionating Impulsivity: Neural and Neuropsychiatric Implications

报告日期:  2017-3-18 星期六
报告时间:  10:00
报告地点:  光华东主楼1501

报告摘要:

Impulsivity is the tendency to act prematurely without foresight. A conceptual analysis of this construct in behavioural and neurobiological terms, based on evidence from both animal and human studies, suggests that there are several dissociable forms of impulsivity. One form of impulsivity may depend on motivational factors, another on motor or response disinhibition. The cortico-striatal substrates of these forms appear distinct, on the basis of lesion and neuropharmacological evidence. However, certain drugs remediate both forms of impulsivity, suggesting that some common neurochemical substrates.  A possible role for impulsivity in addiction in humans is unclear and animal studies help to resolve issues of causality. I will review a rat model of impulsivity based on premature responding in the 5-choice serial reaction time task and a more detailed characterization of this phenotype in neurobehavioral, neurochemical and genetic terms. Evidence will be surveyed that high impulsivity on this task precedes the escalation subsequently of cocaine self-administration behaviour, and also a tendency towards compulsive cocaine-seeking. These results indicate that the vulnerability to stimulant addiction may depend on an impulsivity endophenotype. Implications of these translational findings for substance abuse and other neuropsychiatric disorders such as attention deficit/hyperactivity disorder and Parkinson’s disease will be considered.

 

References

Dalley, J.W., Everitt, B.J. & Robbins,  T.W. (2011) Impulsivity,  compulsivity,  and top-down  cognitive control.  Neuron, 69, 680-694

 

Ye, Z., Altena, E., Nombela, C., Housden, C.R., Maxwell, H., Rittman, T., Huddleston, C., Rae, C.L.,Regenthal, R., Sahakian, B.J., Barker, R.A., Robbins, T.W., Rowe, J.B. (2015) Improving response inhibition in Parkinson’s disease with atomoxetine.  Biological Psychiatry, 77(8), 740-8

 

Dalley JW and Robbins TW (2017) Fractionating impulsivity: Neuropsychiatric implications. Nature Reviews Neuroscience. In press

 

Supported by a Wellcome Trust Senior Investigator grant to TWR: 104631Z/14/Z

 

 

报告题目三:The Neural Basis of Compulsive Behaviour: Relevance to Addiction and OCD

报告日期:  2017-3-18 星期六
报告时间:  15:00
报告地点:  光华东主楼1501

报告摘要:

Compulsivity is the tendency to perseverate in maladaptive actions and is part of the symptomatic picture of drug addiction, eating disorders, Tourette’s syndrome and, prototypically, obsessive-compulsive disorder (OCD). This talk considers the overlap between compulsive behaviour in addiction and OCD, in terms of the hypothesis that compulsive behaviour arises as a consequence of a shift in balance between a goal-directed and habit based system in the brain, coupled with changes in control over behaviour from the ventral to the dorsal striatum and a loss of ‘top-down control’ from the prefrontal cortex.  Evidence is considered from experimental animal models, including the self-administration of drugs in rodents and attentional set-shifting and reversal leaning in marmoset monkeys. Comparisons are made with human patients, as well as their first degree relatives and healthy control participants using functional and structural brain imaging and psychopharmacology, in conjunction with cognitive testing.  Parallels and differences between addiction and OCD are considered and the implications considered for psychiatric classification and treatment.

 

References

Dalley, J.W., Everitt, B.J. & Robbins,  T.W. (2011) Impulsivity,  compulsivity,  and top-down  cognitive control.  Neuron, 69, 680-694

 

Robbins,   T.W.,   Gillan,   C.M.,   Smith,   D.G.,   de  Wit,   S.  &   Ersche,   K.D.   (2012)   Neurocognitive endophenoypes  of impulsivity  and compulsivity:  towards dimensional  psychiatry.   Trends in Cognitive Sciences, 16, 81-91.

 

Gillan, C.M., Robbins, T.W. (2014) Goal-directed learning and obsessive-compulsive disorder. Philosophical Transactions of the Royal Society of London. Series B, Biological sciences, 369(1655). pii: 20130475.

 

Everitt, B.J. & Robbins, T.W. (2016) Drug Addiction: Updating Actions to Habits to Compulsions Ten Years On. Annual Review of Psychology, 67, 23-50.

 

 

Supported by a Wellcome Trust Senior Investigator grant to TWR: 104631Z/14/Z

 


Topological language for RNA

Speaker: Christian M. Reidys

Time: 2016.12.15 3:00 p.m.

Place: East Guanghua Building 2201

Abstract:

In this paper we introduce a novel, context-free grammar, RNAFeatures*, capable of generating any RNA structure including pseudoknot structures (pk-structure). We represent pk-structures as orientable fatgraphs, which naturally leads to a filtration by their topological genus. Within this framework, RNA secondary structures correspond to pk-structures of genus zero. RNAFeatures* acts on formal, arc-labeled RNA secondary structures, called λ-structures. λ-structures correspond one-to-one to pk-structures together with some additional information. This information consists of the specific rearrangement of the backbone, by which a pk-structure can be made cross-free. RNAFeatures* is an extension of the grammar for secondary structures and employs an enhancement by labelings of the symbols as well as the production rules. We discuss how to use RNAFeatures* to obtain a stochastic context-free grammar for pk-structures, using data of RNA sequences and structures. The induced grammar facilitates fast Boltzmann sampling and statistical analysis. As a first application, we present an O(nlog (n)) runtime algorithm which samples pk-structures based on ninety tRNA sequences and structures from the Nucleic Acid Database (NDB).


复旦大学计算机学院张军平教授关于机器学习工作的进展交流

Professor JunPing Zhang

Department of Computer Science,

Fudan University

Time: 2016.11.15 2:00 p.m.

Place: East Guanghua Building 2201

Abstract:

Professor JunPing Zhang will give a talk on his recent work related to machine learning, intelligent transportation and biology