How to quickly predict an individual’s behavioral choices is an important issue in the field of human behavior research.Using noninvasive electroencephalography,we aimed to identify neural markers in the prior outcom...How to quickly predict an individual’s behavioral choices is an important issue in the field of human behavior research.Using noninvasive electroencephalography,we aimed to identify neural markers in the prior outcome-evaluation stage and the current option-assessment stage of the chicken game that predict an individual’s behavioral choices in the subsequent decision-output stage.Hierarchical linear modeling-based brain-behavior association analyses revealed that midfrontal theta oscillation in the prior outcome-evaluation stage positively predicted subsequent aggressive choices;also,beta oscillation in the current option-assessment stage positively predicted subsequent cooperative choices.These findings provide electrophysiological evidence for the three-stage theory of decision-making and strengthen the feasibility of predicting an individual’s behavioral choices using neural oscillations.展开更多
During free exploration,the emergence of patterned and sequential behavioral responses to an unknown environment reflects exploration traits and adaptation.However,the behavioral dynamics and neural substrates underly...During free exploration,the emergence of patterned and sequential behavioral responses to an unknown environment reflects exploration traits and adaptation.However,the behavioral dynamics and neural substrates underlying the exploratory behavior remain poorly understood.We developed computational tools to quantify the exploratory behavior and performed in vivo electrophysiological recordings in a large arena in which mice made sequential excursions into unknown territory.Occupancy entropy was calculated to characterize the cumulative and moment-to-moment behavioral dynamics in explored and unexplored territories.Local field potential analysis revealed that the theta activity in the dorsal hippocampus(d HPC)was highly correlated with the occupancy entropy.Individual d HPC and prefrontal cortex(PFC)oscillatory activities could classify various aspects of free exploration.Initiation of exploration was accompanied by a coordinated decrease and increase in theta activity in PFC and d HPC,respectively.Our results indicate that d HPC and PFC work synergistically in shaping free exploration by modulating exploratory traits during emergence and visits to an unknown environment.展开更多
基金supported by the National Key Research and Development Program of China(No.2021YFF1200800)the National Natural Science Foundation of China(No.82171861,81971782)。
文摘帕金森病(Parkinson disease,PD)是一种病因尚未完全明确的神经退行性疾病,其发生和进展与异常的神经振荡紧密相关,这些异常振荡已作为评价PD的生物标志物之一。积极探索神经振荡与PD的相互联系,并有针对性地精准调控PD患者异常的神经振荡是目前研究的热点,为寻找治疗PD提供了新方向。经颅交流电刺激(transcranial alternating current stimulation,tACS)作为一种新兴的非侵入性脑刺激技术,通过施加双相和正弦电流来影响大脑的神经元活动,显示出调控PD异常神经振荡的潜力。现对PD中常见的神经振荡、tACS调控PD神经振荡的工作机制以及tACS在PD中的应用研究进展进行综述,并探讨该领域的现存问题和未来发展趋势,旨在为PD的治疗和临床研究提供新思路。
基金supported by the Natural Science Foundation of Anhui ProvinceChina(No.090413096)+1 种基金College Student Innovation and Entrepreneurship Training Plan of Anhui ProvinceChina(No.AH201310368104)
文摘本研究旨在探讨与动物空间辨别学习能力相关的神经振荡电活动及其改变。运用Y型迷宫电击回避训练方法,筛选出与空间认知能力相关的快回避反应组和普通回避反应组大鼠,无线遥测两组动物在电击回避实验前、后海马CA3区实时局部场电位(local field potential,LFP),分析与空间辨别和学习能力相关的神经振荡成分变化。结果显示,与普通回避反应组大鼠比较,电击回避训练前快回避反应组大鼠左侧海马CA3区LFP成分无显著差异,但电击回避训练后,右侧海马CA3区0~10 Hz和30~40 Hz电节律百分比显著增加(P<0.01或P<0.05);快速傅里叶变换显示,0~10 Hz频段百分比增加主要发生在θ波(3~7 Hz)频段,而30~40 Hz频段改变相当于γ1频段。进一步将两组大鼠训练前后的右侧CA3区神经振荡进行自身比较,结果显示训练后快回避反应组大鼠仅出现β波、β2(20~30 Hz)和γ1节律百分比增加,θ波节律百分比在训练前后无明显变化,而普通回避反应组大鼠训练前后比较显示,训练后右侧CA3区θ波节律百分比和大幅波(强度:+2.5^-2.5 db)显著减少(P<0.01)。本研究结果显示,快回避反应组大鼠电击回避训练后,右侧海马CA3区β2和γ1节律百分比增加,θ波节律百分比保持较高水平,这些改变可能与其较强的空间认知能力有关。
基金the National Social Science Foundation of China(19ZDA361)。
文摘How to quickly predict an individual’s behavioral choices is an important issue in the field of human behavior research.Using noninvasive electroencephalography,we aimed to identify neural markers in the prior outcome-evaluation stage and the current option-assessment stage of the chicken game that predict an individual’s behavioral choices in the subsequent decision-output stage.Hierarchical linear modeling-based brain-behavior association analyses revealed that midfrontal theta oscillation in the prior outcome-evaluation stage positively predicted subsequent aggressive choices;also,beta oscillation in the current option-assessment stage positively predicted subsequent cooperative choices.These findings provide electrophysiological evidence for the three-stage theory of decision-making and strengthen the feasibility of predicting an individual’s behavioral choices using neural oscillations.
基金supported by the National Natural Science Foundation of China(No.31200828,31271155 and 81601158)the Key Projects of Outstanding Young Talent Support Program in Colleges and Universities of Anhui Province,China(No.gxyqZD2016175)+1 种基金the Natural Science Research Project Fund for Colleges and Universities in Anhui Province,China(No.KJ2018A0266)the Doctor Startup Fund in Wannan Medical College(No.rcqd201609)
基金supported by grants from the National Natural Science Foundation of China (No. 31525011 31771211 and 31830037)+2 种基金the Strategic Priority Research Program (No. XDB32010300)the Key Research Program of Frontier Sciences (No. QYZDB-SSW-SMC030)the Youth Innovation Promotion Association of the Chinese Academy of Sciences (No. 2018116)
基金the National Natural Science Foundation of China(32070985)Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions(NYKFKT20190018)Shenzhen Key Laboratory of Translational Research for Brain Diseases(ZDSYS20200828154800001)。
文摘During free exploration,the emergence of patterned and sequential behavioral responses to an unknown environment reflects exploration traits and adaptation.However,the behavioral dynamics and neural substrates underlying the exploratory behavior remain poorly understood.We developed computational tools to quantify the exploratory behavior and performed in vivo electrophysiological recordings in a large arena in which mice made sequential excursions into unknown territory.Occupancy entropy was calculated to characterize the cumulative and moment-to-moment behavioral dynamics in explored and unexplored territories.Local field potential analysis revealed that the theta activity in the dorsal hippocampus(d HPC)was highly correlated with the occupancy entropy.Individual d HPC and prefrontal cortex(PFC)oscillatory activities could classify various aspects of free exploration.Initiation of exploration was accompanied by a coordinated decrease and increase in theta activity in PFC and d HPC,respectively.Our results indicate that d HPC and PFC work synergistically in shaping free exploration by modulating exploratory traits during emergence and visits to an unknown environment.
