FINT 2017

"Neural Circuits of Emotion and Memory"   International Symposium in 2017


MAGNETOM 7T MRI

INTERDISCIPLINARY INSTITUTE OF NEUROSCIENCE AND TECHNOLOGY

2017 SUMMER CAMP

INTERDISCIPLINARY INSTITUTE OF NEUROSCIENCE AND TECHNOLOGY

TEAM

INTERDISCIPLINARY INSTITUTE OF NEUROSCIENCE AND TECHNOLOGY

UHF MRI 2017

INTERDISCIPLINARY INSTITUTE OF NEUROSCIENCE AND TECHNOLOGY

SHARED PLATFORM

INTERDISCIPLINARY INSTITUTE OF NEUROSCIENCE AND TECHNOLOGY

GRADUATE SCHOOL OF ZJU

WELCOME TO JOIN US

INTERDISCIPLINARY INSTITUTE OF NEUROSCIENCE AND TECHNOLOGY

In a recent study published in Cerebral Cortex entitled “Subthreshold Activity Underlying the Diversity and Selectivity of the Primary Auditory Cortex Studied by Intracellular Recordings in Awake Marmosets”, Dr. Lixia Gao and Xiaoqin Wang describes novel results obtained using a breakthrough technique: intracellular recording from awake marmoset monkeys. The results reported revealed transformation from membrane potentials to spiking activity by individual neurons and refinement of stimulus feature selectivity in the primary auditory cortex (A1).

 

Extracellular recording studies have revealed diverse and selective neural responses in A1. However, the subthreshold mechanisms underlying neural diversity and selectivity in A1 of awake animals have remained largely unknown, as intracellular recording in awake animals poses substantial technical challenges, in particular in non-human primates. In the present study, we used a novel intracellular recording technique developed for awake marmosets to systematically study A1 neurons’ subthreshold responses underlying their diverse and selective spiking responses. Our findings showed that in contrast to predominantly transient depolarization observed in A1 of anesthetized animals, both transient and sustained depolarization were observed (Fig.1). Comparing with spiking responses, subthreshold responses showed broader tuning in frequency and intensity tuning, suggesting enhancement of stimulus selectivity at the level of individual A1 neurons. Furthermore, A1 neurons classified as regular- or fast-spiking subpopulation exhibited distinct response properties in frequency and intensity tuning. These observations obtained from A1 of awake marmosets provide unprecedentedly valuable insights into cortical processing of acoustic information at the cellular and circuit levels in awake non-human primates. The intracellular recording technique developed in our study opens the door for further studies of cellular mechanisms underlying complex and natural sound processing in population of neurons in auditory cortex of marmosets or other animal models.

 

Below is the link to access the article:

https://academic.oup.com/cercor/advance-articles


0 - 副 - 副本.png


Figure. Frequency tuning properties of A1 neurons in awake state.

A, B, C, Examples of subthreshold and spiking responses elicited by pure tones from three representative A1 neurons (M80Z0114, M22W0656, M14U1076). Left, mean subthreshold responses of five repetitions at each frequency. Right, raster plots of corresponding spiking responses. Gray shaded area indicates the duration of pure tone stimuli. D, E, F, Frequency tuning curves measured by subthreshold response magnitude (left) and firing rate (right), respectively, averaged over the duration of the pure tone stimuli across five trials for the three example neurons shown in A-C. Error bars and the grey area represent standard deviation. Dashed horizontal lines indicate mean spontaneous subthreshold response (left) or mean spontaneous firing rate (right) of each neuron. Asterisks indicate evoked responses that are significantly different from spontaneous responses. G, H, I, Example intracellular recording traces showing responses to BF tones for the three example neurons shown in A-C, respectively. Gray shaded area indicates the duration of pure tone stimuli.

2018-01-30 READ MORE


Spontaneous Recovery from Unresponsive Wakefulness Syndrome to a Minimally Conscious State: Early Structural Changes Revealed by 7-T Magnetic Resonance Imaging


Xufei Tan, Jian Gao, Zhen Zhou, Ruili Wei, Ting Gong, Yuqin Wu, Kehong Liu, Fangping He, Junyang Wang, Jingqi Li, Xiaotong Zhang, Gang Pan* and Benyan Luo*


Background: Determining the early changes of brain structure that occur from vegetative state/unresponsive wakefulness syndrome (VS/UWS) to a minimally conscious state (MCS) is important for developing our understanding of the processes underlying disorders of consciousness (DOC), particularly during spontaneous recovery from severe brain damage.

Objective: This study used a multi-modal neuroimaging approach to investigate early structural changes during spontaneous recovery from VS/UWS to MCS.

Methods: The Coma Recovery Scale-Revised (CRS-R) score, 24-h electroencephalography (EEG), and ultra-high field 7-T magnetic resonance imaging were used to investigate a male patient with severe brain injury when he was in VS/UWS compared to MCS. Using white matter connectometry analysis, fibers in MCS were compared with the same fibers in VS/UWS. Whole-brain analysis was used to compare all fibers showing a 10% increase in density with each other as a population.

Results: Based on connectometry analysis, the number of fibers with increased density, and the magnitude of increase in MCS compared to VS/UWS, was greatest in the area of the temporoparietal junction (TPJ), and was mostly located in the right hemisphere. These results are in accordance with the active areas observed on 24-h EEG recordings. Moreover, analysis of different fibers across the brain, showing at least a 10% increase in density, revealed that altered white matter connections with higher discriminative weights were located within or across visual-related areas, including the cuneus_R, calcarine_R, occipital_sup_R, and occipital_mid_R. Furthermore, the temporal_mid_R, which is related to the auditory cortex, showed the highest increase in connectivity to other areas. This was consistent with improvements in the visual and auditory components of the CRS-R, which were greater than other improvements.

Conclusion: These results provide evidence to support the important roles for the TPJ and the visual and auditory sensory systems in the early recovery of a patient with severe brain injury. Our findings may facilitate a much deeper understanding of the mechanisms underlying conscious-related processes and enlighten treatment strategies for patients with DOC.


1.jpg


Figure 1. Magnetic resonance imaging (MRI) of the in vivo delineation of the patient’s entire brain at 7 T. 3D-T1-weighted sections of an MRI image of the entire brain obtained at (A) 1.5 months and (B) 5 months after initial injury.


2.jpg


Figure 2. Tracts with significantly reduced density in the patient during minimally conscious state compared with vegetative state/unresponsive wakefulness syndrome. Specifically, the white matter regions exhibited a reduction mostly in the left hemisphere, and sub-regions of the corpus callosum. Red: leftright, green: anteriorposterior, blue: superiorinferior.


3.jpg


Figure 3. Tracts with significantly increased density in the patient during minimally conscious state compared with vegetative state/unresponsive wakefulness syndrome. The white matter regions exhibited an increase mostly in the right hemisphere, particularly the tracts of the right superior longitudinal fasciculus and the right arcuate fasciculus connecting the parietal, occipital, and temporal cortices; these showed a greater increase, of more than 30%, in the area of the temporoparietal junction. Red: leftright, green: anteriorposterior, blue: superiorinferior.


4.jpg


Figure 4. Regional weights and the distribution of 90 white matter connectivity sorted by the automated anatomical labeling-90. Regional weights and the degrees of connection are shown in the circular graph. Different numbers represent the exact fiber numbers or the proportions (as a percentage) of the fibers within one region. Ribbon size encodes the cell value associated with a column segment pair and ribbon ends are colored by column segment.


Online PaperSpontaneous Recovery from Unresponsive Wakefulness Syndrome to a Minimally Conscious State: Early Structural Changes Revealed by 7-T Magnetic Resonance ImagingPDF.pdf


https://www.frontiersin.org/articles/10.3389/fneur.2017.00741/full?&utm_source=Email_to_authors_&utm_medium=Email&utm_content=T1_11.5e1_author&utm_campaign=Email_publication&field=&journalName=Frontiers_in_Neurology&id=322249

2018-01-17 READ MORE

20171219日,“冥想与脑活动探测”项目研讨会在浙江大学紫金港校区圆正启真酒店顺利召开。研讨会邀请到徐立之院士、郑筱祥教授,陈卫东教授、张钦教授、尹俊熙女士、尹俊春研究员、陈杭教授、沈义民教授、张韶岷副教授、许科帝副教授、白瑞良副教授等近30人参加。

1513923880308322.jpg

上午9时,研讨会在白瑞良副教授主持下准时开始,上午的报告主要围绕如何运用科学手段客观地阐述禅修在大脑内产生的变化来展开。来自四川大学的张钦教授介绍了道禅修行与抗衰老的关系,向参会人员介绍了从人体自身感觉上,禅修对于减缓人脑衰老过程,包括记忆、运算、情绪调节的作用。来自中国社会科学院的尹俊春研究员给与会人员讲述了佛教与科学的碰撞与融通,详细阐述了佛教中的一些观点与科学,尤其是实验科学之间的冲突与一致性。

1513926568935424.jpg

1513926575129758.jpg

浙江大学求是高等研究院陈卫东教授则从科学的角度介绍了冥想的脑科学基础及神经调控技术的背景调研工作,详细介绍了冥想在脑科学领域在近20年来已经成为研究热潮,从实验科学的角度阐述了冥想的好处。求高院系统神经与认知科学研究所的王剑葆介绍了通过高频功能核磁共振揭示冥想状态中的频率特异性点活动研究工作,具体介绍了任务态功能磁共振与静息态磁共振在冥想研究中的应用,以及三种基于提速的全脑水平方法在冥想研究中的应用。白瑞良副教授向与会人员介绍了长期冥想对大脑结构上的变化的调研工作以及7T高场核磁共振的优势。最后,徐立之院长对本次研讨会做出总结,结合自己的研究经验提出了对于本次课题研讨各位专家要遵循“把复杂问题简单化”的准则。

1513926629121039.jpg

1513926630109150.jpg

1513926630105987.jpg

1513926631806888.jpg


下午的讨论由陈卫东教授主持,各位专家针对“冥想与脑活动探测”项目研究方向提出自己的问题与看法,进行了激烈的讨论。针对3T7T核磁共振结构与功能成像、EEG神经信号等技术手段在目前科研探索上取得的成绩给予了肯定,同时,对于相关文献的搜集和调研,以及具体实验方案的设计等方面的工作提出了需要大力开展实施的建议。


1513926690100186.jpg

1513926691970883.jpg

研讨会在学术报告和激烈的讨论声中落下帷幕,让我们共同期待研讨会成员在“冥想与脑活动探测”方向取得丰硕成果。


2017-12-22 READ MORE

       根据铁路部门相关通知,经过与铁路部门多次协商,结合我校实际情况,现将我校2018年寒假学生火车票工作的有关事宜通知如下:

     一、预订、支付

       2018年寒假火车票的预订、支付将全部由同学自行通过铁路12306网站进行操作,铁路杭州站将不组织学校集中购票。

       由于2018年春运比较晚,铁路规定学生票的预售期与普通旅客相同为30天。学生可自行通过铁路网站www.12306.cn或95105105订票电话预订返乡学生火车票(普通硬席和二等软座),预订成功后通过网上支付系统支付票款。具体事宜请查询相关铁路网站。

     二、取票

     订票成功后,同学可通过以下2种方式取票:

     1.自行取票。

     凭本人身份证和学生证至铁路车站指定售票窗口或各火车票代售点取票,不收取任何手续费;

     2.以班级为单位集中取票。

      由班级统一填写、提交《集中取票汇总表》(附件1)至后勤集团会议与交通服务中心邮箱zjdxjdzx@126.com,由学校统一安排人员前往铁路取票窗口代为取票,再由班级联系人在校内取票(取票时间及地点另行通知)。

     三、退票、改签

       未取票的同学可通过12306网站或到车站窗口办理改签或退票手续,退款将返回购票时所使用的账户;已取票的同学需到车站窗口办理改签或退票手续。

     四、注意事项

     1.杭州主城区内火车票代售点一览表(附件2);

     2.12306网站订票时票种请选择“学生”,具体操作流程请登录铁路网站查询;

     3.选择班级集中取票的同学,必须在1月8日前,通过班级统一组织填写、提交《集中取票汇总表》(格式请按照附件1),经工作人员整理后前往铁路取票窗口取票,预计校内取票时间在1月15日至19日之间,具体时间和地点另行通知。

     4.在车站自动售(取)票机上购(取)票的同学,须提前到学校教务处确认自己的学生火车票优惠卡内已写入姓名、二代身份证号码、乘车区间、入学日期等4项内容,方可在自动售(取)票机上购(取)车票。取网购车票时,还应确保学生优惠卡内信息与在12306网站注册时填写的信息一致。

     5.有关票务工作咨询,同学可以拨打13958004007,工作时间8:30—17:00。


                                                                                                      后勤管理处       

                                                                                       后勤集团会议与交通服务中心

                                                                                                      2018年1月2日   

附件1:浙江大学2018寒假学生预订火车票集中取票汇总表.xls

 附件2:2018杭州主城区内火车票代售点一览表.xls

2018-01-03 READ MORE

各学院(系)、各单位:

根据《浙江大学教职工年度考核工作实施办法》(浙大发人〔200661号)、《浙江大学建立健全师德建设长效机制的实施细则》(浙大发人〔201537)等文件精神,拟于2017124—20171222开展教职工师德考核和年度考核,现将有关事项通知如下。

一、考核范围

全校事业编制教职工、事业性质人才派遣人员。其中:

1.公派出国(境)六个月以上的出国人员,年度考核中对教学、科研业绩可不作要求。

2.201771日及之后进校的人员不定考核等级。

现职中层领导干部、学校选派赴校外全职挂职(2017年全年挂职时间满6个月以上)的干部考核由党委组织部组织实施,专职辅导员的考核由校辅导员队伍建设工作小组组织实施

二、考核内容

考核包括师德考核和年度考核。师德考核内容包括遵纪守法、爱岗敬业、学术规范、服务集体等方面。年度考核包括德、能、勤、绩、廉五个方面。师德考核结合教职工年度考核进行,师德考核作为教职工年度考核中“德”的考核结果。

各学院(系)、各单位应加强师德考核、年度考核工作。由师德建设工作组(未设立师德建设工作组的单位可由单位考核工作委员会或相应职能的机构)负责实施本单位的师德考核工作,考核还必须征求所在党支部的意见。由考核工作委员会或相应职能的机构负责实施本单位的年度考核工作。

各单位对本单位聘任在各岗位上的教职工应根据所聘岗位的岗位职责和要求严格进行考核。其中,聘在教学科研并重岗、教学为主岗、团队教学岗的教师及其它因工作需要仍担任主讲教师的,需考核教学工作。所在单位应根据岗位职责考核情况、本科生院、研究生院的教学工作考核情况及师德考核结果综合确定考核等级。

党政管理人员应着重考核管理与服务的质量、水平和服务态度;实验技术等教学科研支撑队伍应重点考核技术能力、水平和服务质量。所在单位应根据岗位职责考核情况、师德考核结果综合确定考核等级。

三、考核等级

师德考核和年度考核等级均为优秀、合格、基本合格、不合格,师德考核和年度考核等级为优秀的人员比例均不得超过本单位考核总人数的20%

1.存在《浙江大学建立健全师德建设长效机制的实施细则》(浙大发人〔201537号)第十条有关行为的,视为违反师德;有涉及违反教育部《关于建立健全高校师德建设长效机制的意见》(教师〔201410号)有关师德禁行行为的,师德考核为不合格。

2.根据《浙江大学教职工年度考核工作实施办法》(浙大发人〔200661号)等相关规定,有下列情况之一者,年度考核为不合格:

1)师德考核不合格的;

2)造成重大教学或科研、医疗责任事故或在工作中造成严重失误的;

3)兼职担任辅导员、班主任、德育导师及本科生导师的,兼任工作考核不合格的;

4)不愿承担学院安排的教学任务或教学工作考核不合格的;

5)难以适应工作要求,不能完成本职工作的;

6)各类岗位教师,在考核年度内本人实际完成的业绩低于院系(单位)规定的基本业绩要求的;

7)当年事假累计30天以上,或累计旷工15天及以上,或连续旷工7天及以上;

8)无正当理由不参加学校年度考核的;

9)已经连续两年年度考核为基本合格,今年仍无明显改进的;

10)其它可以确定为不合格的。

考核年度内违反党纪校规受到处分的,按上级有关规定精神和学校文件处理。

四、考核流程和时间安排

1.个人工作总结。124日至1215日在“浙江大学人力资源管理与服务系统”上提交个人年度工作总结。

2.确定考核等级。1215日至1222日各单位进行工作总结、交流、评议,确定考核等级并于22日前由单位将考核结果按要求录入“浙江大学人力资源管理与服务系统”

3.评选推荐先进。在年度考核为优秀的人员中评选出院级先进工作者,在院级先进工作者中推荐出校级先进工作者,其中:院级先进工作者人数不超过本单位参加当年考核人数的10%,校级先进工作者候选人不超过院级先进工作者总数的10%

4.考核结果反馈。1223日至1231日各单位将年度院级先进工作者和校级先进工作者推荐人情况在单位内部进行公示(不少于5个工作日),本人可登录浙江大学人力资源管理与服务系统查看本人的考核结果。对考核结果有异议的,可在1231日之前提出申诉。

确定为基本合格和不合格人员,各单位还应将对其今后工作的建议书面通知被考核人。

5.考核结果报送:1231日前各单位报送《院级先进工作者登记表》、《校级先进工作者推荐表》,同时报送《单位考核情况汇总表》,注明基本合格和不合格人员的情况。

6.考核材料归档。单位在录入考核结果后,需将考核表打印出由单位领导签字并盖章、本人签名,并于2018131日前送档案馆干部人事档案室(玉泉校区行政楼511归档。

五、考核结果应用

1. 对于师德表现突出的,同等条件下,在职称评审、岗位聘任、干部选拔、研究生导师遴选、学科带头人选拔、各类高层次人才评选中优先考虑。获得国家级师德先进表彰的教师,学院可提高一个岗位级别聘任、给予津贴奖励。

2.师德考核结果存入教职工档案,师德考核结果不合格者在职称评审、岗位聘任、干部选拔、评奖评优等环节实行一票否决。

3 年度考核结果是教职工聘任、奖惩、晋职、晋级和正常晋升工资档次的主要依据。年度考核结果为基本合格及以下的,当年不得享受一次性年终奖金,不得晋升薪级工资,取消下一年度专业技术职务晋升、专技岗位等级晋升、职员职级晋升申报资格。年度考核结果为不合格的停发下一年度岗位津贴。

六、其他事项

1.人才中心待聘人员(办理正式借用手续者除外)、因病假请假六个月及以上者、校内离岗退养人员、校发生活费人员不参加本次考核。

2.对长期在编不在岗工作的人员或虽然在编在岗但主要精力不在学校各项工作上的人员,及违反学校有关兼职兼薪规定的人员,所在单位要结合年度考核,集中予以清理,并及时将清理情况与结果上报。学校将根据上报情况,按有关规定及时予以处理。

3. 对考核结果有异议的,可在1231日之前向学院(系)、单位提出不同意见,或向学校考核工作领导小组办公室(办公室设在人事处,紫金港校区东三104-7室,联系电话8898165688982685)、学校师德建设工作领导小组办公室(办公室设在党委教师工作部,紫金港校区东三104-16室,联系电话8820650188206137)提出申诉。

4.各单位自筹经费聘用的劳务派遣人员应参加单位组织的年度考核和师德考核,填写《浙江大学劳务派遣员工年度工作考核表》。考核表由单位确定考核等级并盖章后于1231日前交学校行政办事大厅人事处窗口。

5.学校独立法人资格单位参照学校考核通知的精神,自行制订考核办法,对本单位自行聘用的人员进行年度考核和师德考核,按要求(具体要求另行通知)建立师德档案并及时报党委教师工作部备案,并在考核结束后将考核材料归入个人档案。

 

 

附件1 浙江大学人力资源管理和服务系统

附件2:《浙江大学校级先进工作者申报表

附件3《浙江大学院级先进工作者申报表》

附件4《浙江大学劳务派遣员工年度工作考核表》


 

                          党委教师工作部 人事处    

                                                                                        2017121


2017-12-01 READ MORE
2017-12-20 READ MORE
2017-12-05 READ MORE
2017-12-01 READ MORE

In a recent study published in Cerebral Cortex entitled “Subthreshold Activity Underlying the Diversity and Selectivity of the Primary Auditory Cortex Studied by Intracellular Recordings in Awake Marmosets”, Dr. Lixia Gao and Xiaoqin Wang describes novel results obtained using a breakthrough technique: intracellular recording from awake marmoset monkeys. The results reported revealed transformation from membrane potentials to spiking activity by individual neurons and refinement of stimulus feature selectivity in the primary auditory cortex (A1).

 

Extracellular recording studies have revealed diverse and selective neural responses in A1. However, the subthreshold mechanisms underlying neural diversity and selectivity in A1 of awake animals have remained largely unknown, as intracellular recording in awake animals poses substantial technical challenges, in particular in non-human primates. In the present study, we used a novel intracellular recording technique developed for awake marmosets to systematically study A1 neurons’ subthreshold responses underlying their diverse and selective spiking responses. Our findings showed that in contrast to predominantly transient depolarization observed in A1 of anesthetized animals, both transient and sustained depolarization were observed (Fig.1). Comparing with spiking responses, subthreshold responses showed broader tuning in frequency and intensity tuning, suggesting enhancement of stimulus selectivity at the level of individual A1 neurons. Furthermore, A1 neurons classified as regular- or fast-spiking subpopulation exhibited distinct response properties in frequency and intensity tuning. These observations obtained from A1 of awake marmosets provide unprecedentedly valuable insights into cortical processing of acoustic information at the cellular and circuit levels in awake non-human primates. The intracellular recording technique developed in our study opens the door for further studies of cellular mechanisms underlying complex and natural sound processing in population of neurons in auditory cortex of marmosets or other animal models.

 

Below is the link to access the article:

https://academic.oup.com/cercor/advance-articles


0 - 副 - 副本.png


Figure. Frequency tuning properties of A1 neurons in awake state.

A, B, C, Examples of subthreshold and spiking responses elicited by pure tones from three representative A1 neurons (M80Z0114, M22W0656, M14U1076). Left, mean subthreshold responses of five repetitions at each frequency. Right, raster plots of corresponding spiking responses. Gray shaded area indicates the duration of pure tone stimuli. D, E, F, Frequency tuning curves measured by subthreshold response magnitude (left) and firing rate (right), respectively, averaged over the duration of the pure tone stimuli across five trials for the three example neurons shown in A-C. Error bars and the grey area represent standard deviation. Dashed horizontal lines indicate mean spontaneous subthreshold response (left) or mean spontaneous firing rate (right) of each neuron. Asterisks indicate evoked responses that are significantly different from spontaneous responses. G, H, I, Example intracellular recording traces showing responses to BF tones for the three example neurons shown in A-C, respectively. Gray shaded area indicates the duration of pure tone stimuli.

2018-01-30 READ MORE

   Dr. Benyan Luo’s Team Reported Early Structural Changes Over a Vegetative Patient through 7T MR Imaging


Spontaneous Recovery from Unresponsive Wakefulness Syndrome to a Minimally Conscious State: Early Structural Changes Revealed by 7-T Magnetic Resonance Imaging


Xufei Tan, Jian Gao, Zhen Zhou, Ruili Wei, Ting Gong, Yuqin Wu, Kehong Liu, Fangping He, Junyang Wang, Jingqi Li, Xiaotong Zhang, Gang Pan* and Benyan Luo*


Background: Determining the early changes of brain structure that occur from vegetative state/unresponsive wakefulness syndrome (VS/UWS) to a minimally conscious state (MCS) is important for developing our understanding of the processes underlying disorders of consciousness (DOC), particularly during spontaneous recovery from severe brain damage.

Objective: This study used a multi-modal neuroimaging approach to investigate early structural changes during spontaneous recovery from VS/UWS to MCS.

Methods: The Coma Recovery Scale-Revised (CRS-R) score, 24-h electroencephalography (EEG), and ultra-high field 7-T magnetic resonance imaging were used to investigate a male patient with severe brain injury when he was in VS/UWS compared to MCS. Using white matter connectometry analysis, fibers in MCS were compared with the same fibers in VS/UWS. Whole-brain analysis was used to compare all fibers showing a 10% increase in density with each other as a population.

Results: Based on connectometry analysis, the number of fibers with increased density, and the magnitude of increase in MCS compared to VS/UWS, was greatest in the area of the temporoparietal junction (TPJ), and was mostly located in the right hemisphere. These results are in accordance with the active areas observed on 24-h EEG recordings. Moreover, analysis of different fibers across the brain, showing at least a 10% increase in density, revealed that altered white matter connections with higher discriminative weights were located within or across visual-related areas, including the cuneus_R, calcarine_R, occipital_sup_R, and occipital_mid_R. Furthermore, the temporal_mid_R, which is related to the auditory cortex, showed the highest increase in connectivity to other areas. This was consistent with improvements in the visual and auditory components of the CRS-R, which were greater than other improvements.

Conclusion: These results provide evidence to support the important roles for the TPJ and the visual and auditory sensory systems in the early recovery of a patient with severe brain injury. Our findings may facilitate a much deeper understanding of the mechanisms underlying conscious-related processes and enlighten treatment strategies for patients with DOC.


1.jpg


Figure 1. Magnetic resonance imaging (MRI) of the in vivo delineation of the patient’s entire brain at 7 T. 3D-T1-weighted sections of an MRI image of the entire brain obtained at (A) 1.5 months and (B) 5 months after initial injury.


2.jpg


Figure 2. Tracts with significantly reduced density in the patient during minimally conscious state compared with vegetative state/unresponsive wakefulness syndrome. Specifically, the white matter regions exhibited a reduction mostly in the left hemisphere, and sub-regions of the corpus callosum. Red: leftright, green: anteriorposterior, blue: superiorinferior.


3.jpg


Figure 3. Tracts with significantly increased density in the patient during minimally conscious state compared with vegetative state/unresponsive wakefulness syndrome. The white matter regions exhibited an increase mostly in the right hemisphere, particularly the tracts of the right superior longitudinal fasciculus and the right arcuate fasciculus connecting the parietal, occipital, and temporal cortices; these showed a greater increase, of more than 30%, in the area of the temporoparietal junction. Red: leftright, green: anteriorposterior, blue: superiorinferior.


4.jpg


Figure 4. Regional weights and the distribution of 90 white matter connectivity sorted by the automated anatomical labeling-90. Regional weights and the degrees of connection are shown in the circular graph. Different numbers represent the exact fiber numbers or the proportions (as a percentage) of the fibers within one region. Ribbon size encodes the cell value associated with a column segment pair and ribbon ends are colored by column segment.


Online PaperSpontaneous Recovery from Unresponsive Wakefulness Syndrome to a Minimally Conscious State: Early Structural Changes Revealed by 7-T Magnetic Resonance ImagingPDF.pdf


https://www.frontiersin.org/articles/10.3389/fneur.2017.00741/full?&utm_source=Email_to_authors_&utm_medium=Email&utm_content=T1_11.5e1_author&utm_campaign=Email_publication&field=&journalName=Frontiers_in_Neurology&id=322249


2018-01-17 READ MORE

Gang Chen (陈岗), Haidong D. Lu, Hisashi Tanigawa, and Anna W. Roe.

Stereoscopic vision depends on correct matching of corresponding features between the two eyes. It is unclear where the brain solves this binocular correspondence problem. Although our visual system is able to make correct global matches, there are many possible false matches between any two images. Here, we use optical imaging data of binocular disparity response in the visual cortex of awake and anesthetized monkeys to demonstrate that the second visual cortical area (V2) is the first cortical stage that correctly discards false matches and robustly encodes correct matches. Our findings indicate that a key transformation for achieving depth perception lies in early stages of extrastriate visual cortex and is achieved by population coding.

The information necessary for binocular depth perception may result via emergent properties of ensemble behavior. We demonstrate, with direct experimental evidence from both awake and anesthetized monkeys, that the integration of neuronal signals across a population may help to achieve binocular correspondence. We show that V2 could be a critical stage for solving the binocular correspondence problem. We suggest that the transformation from physical stimulus to perception begins to happen in V2 and might be inherited by higher cortical areas in both the dorsal and ventral pathways where complex 3D percepts are generated.


1.png

Fig. 1. Falsematching is discarded in V2 of anesthetized monkeys.


2.png

Fig. 2. Responses in V2 are not explained by the energy model.


Online Paper 

www.pnas.org/lookup/suppl/doi:10.1073/pnas.1614452114/-/DCSupplemental

Solving visual correspondence between the two eyes via domain-based population encoding in nonhuman primates

2017-12-11 READ MORE

根据实验室科研工作需要,浙江大学求是高等研究院系统神经与认知科学研究所“定量脑影像”课题组(白瑞良课题组)拟公开招聘研究助理(技术员)2名。

一、研究简介

本实验室从事新型脑影像技术方面的研究,主要针对中枢神经系统疾病诊断以及脑科学与认知的需求,开发高级磁共振成像序列及磁共振信号分析模型。 主要研究方向包括:新型脑功能影像、脑微观组织结构磁共振成像、 脑代谢成像、 中枢神经系统疾病诊断、脑中风诊断等。 脑影像技术研发属于交叉学科,热忱欢迎拥有神经生物学、生物医学工程、应用物理等背景并对科研有极大热情的同学加入。

二、工作内容

拟招聘的研究助理(技术员)岗位主要负责动物脑切片多模态成像(磁共振成像,荧光成像,电生理等)平台的搭建和科学研究,研究方向包括新型脑功能成像技术开发、脑中风成像方法研究等世界前沿问题。

岗位(1): 主要负责该多模态成像平台搭建和数据采集分析,包括磁共振成像序列编辑、荧光显微镜搭建、MATLAB数据分析等。

岗位(2): 主要负责该多模态成像平台中的生物模型,包括获取脑组织切片、细胞培养、神经元活动钙火花荧光成像等。

三、岗位要求

1、本科及以上学历。

2、对科学研究感兴趣;有上进心;对工作积极主动、认真负责;具有团队合作精神。

3、 岗位(1),具有应用物理、生物医学工程、光学、电子学等相关研究背景者优先。

4、岗位(2),具有神经生物学等相关研究背景者优先。

5、上岗时间九月底或十月初,能长期工作者或有读博意向者优先考虑。

四、联系方式:

有意者请将个人简历及求职信投递至bairuiliang@gmail.com(白瑞良老师)。 邮件主题请注明:“研究助理应聘+姓名”, 表明本人求职意向,并重点介绍本人的科研经历和专业技能及特长,符合要求者,我们将尽快安排面试,一经录用者,待遇从优。


2017-08-11 READ MORE

The Zhejiang University Interdisciplinary Institute of Neuroscience and Technology (ZIINT) is seeking faculty in systems neuroscience. ZIINT is a new center established at Zhejiang University to foster interdisciplinary interactions between neuroscience and other disciplines. This center will house 20 laboratories, a non-human primate facility, imaging center(3T and 7T machines) for both human and animal work, two-photon and microscopy facility, computing cluster, machine shop, and histological services.


Positions will be filled at the Assistant Professor, Associate Professor and Professor levels. Faculty research interests may include, but are not limited to, sensory and motor systems, cognition and decision making, emotional and social behavior, and development. We seek in particular candidates with strengths in non-human primate work, modern neurophysiological methods, computational neuroscience, molecular anatomical and viral techniques, neuroimaging, and neurotechnology. Successful candidates will have a strong publication record, excellent funding potential, and exceptional interest in collaborative, interdisciplinary efforts. Salaries and startup packages are competitive.


Philosophy: The future of brain science lies with integration of approaches from other scientific realms. Zhejiang's engineering strengths include biomedical engineering, optical engineering, nanotechnology, materials science, information sciences, and robotics. Zhejiang's world-class medical school features cutting edge research in cellular and molecular neuroscience. Translational efforts are supported by the Center for Translational Medicine and close ties with leading hospitals. Student quality is top notch. Zhejiang is an environment where diverse disciplines readily cross-foster.

Zhejiang University is located in Hangzhou, China (45 min bullet train from Shanghai). Home to beautiful West Lake, Hangzhou is a historical city, characterized by emphasis on cultural and environmental protection.


Applicants should submit inquiries, a curriculum vitae, research statement, and names of three references to ZIINT3@gmail.com.


2017-04-28 READ MORE

SHARED FACILITY

  • Highfield MRI

  • Nonhuman Primate Facility

  • Two Photon Microscopy

  • High Throughput Microscopy

  • RF Coil

  • 3Dprinting and Machinng

  • Computer Cluster

  • Viral Vector Core

  • Highfield MRI

  • Nonhuman Primate Facility

  • Two Photon Microscopy

  • High Throughput Microscopy

  • RF Coil

  • 3Dprinting and Machinng

  • Computer Cluster

  • Viral Vector Core

THE TEAM

ABOUT US

The Zhejiang University Interdisciplinary Institute of Neuroscience and Technology (ZIINT) is a new center that fosters interdisciplinary interactions between neuroscience and other disciplines. This center is currently home to 15 laboratories, a non-human primate facility, two-photon and high throughput microscopy facility, viral vector core, computing cluster, machine shop, and histological services. It also features an MRI center for both human and animal work (Zhejiang University-Siemens Brain Imaging Research Center) which houses a 3T Prisma and 7T Magnetom, MR-compatible sensory stimulus presentation systems, human  MR-compatible EEG system, coil making facility, and animal support equipment.


Philosophy:The future of brain sciences lie with integration of approaches from other scientific realms. Zhejiang’s engineering strengths include biomedical engineering, optical engineering, nanotechnology, materials science, information sciences, and robotics. Zhejiang University’s world-class medical school features cutting edge research in cellular and molecular neuroscience. Translational efforts are supported by the Center for Translational Medicine and close ties with leading hospitals. Student quality is top notch. Zhejiang is an environment where diverse disciplines readily cross-foster.We are currently seeking investigators with interests in collaborative, cross-dsciplinary approaches.


ZIINT is located on the beautiful Hua Jia Chi campus, minutes from the famous West Lake, nature conservatories, and tea plantations of Hangzhou. Please feel free to contact us(ZIINT3@zju.edu.cn).

System neural and cognitive science research institutereturn

Login

The institute's official website to welcome you

Login