Successful choice behavior is associated with distinct and coherent network states in anterior cingulate cortex

被引:89
作者
Lapish, Christopher C. [3 ,4 ]
Durstewitz, Daniel [1 ]
Chandler, L. Judson [2 ]
Seamans, Jeremy K. [4 ]
机构
[1] Univ Plymouth, Ctr Theoret & Computat Neurosci, Vancouver, BC PL4 8AA, Canada
[2] Med Univ S Carolina, Dept Neurosci, Charleston, SC 29425 USA
[3] Univ British Columbia, Dept Psychiat, Vancouver, BC V6T 2BS, Canada
[4] Univ British Columbia, Brain Res Ctr, Vancouver, BC V6T 2BS, Canada
基金
加拿大健康研究院; 美国国家卫生研究院;
关键词
cell assemblies; decision making; multiple single-unit recordings; neural coding; population analysis;
D O I
10.1073/pnas.0804045105
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Successful decision making requires an ability to monitor contexts, actions, and outcomes. The anterior cingulate cortex (ACC) is thought to be critical for these functions, monitoring and guiding decisions especially in challenging situations involving conflict and errors. A number of different single-unit correlates have been observed in the ACC that reflect the diverse cognitive components involved. Yet how ACC neurons function as an integrated network is poorly understood. Here we show, using advanced population analysis of multiple single-unit recordings from the rat ACC during performance of an ecologically valid decision-making task, that ensembles of neurons move through different coherent and dissociable states as the cognitive requirements of the task change. This organization into distinct network patterns with respect to both firing-rate changes and correlations among units broke down during trials with numerous behavioral errors, especially at choice points of the task. These results point to an underlying functional organization into cell assemblies in the ACC that may monitor choices, outcomes, and task contexts, thus tracking the animal's progression through "task space."
引用
收藏
页码:11963 / 11968
页数:6
相关论文
共 44 条
[1]  
AMIT DJ, 1994, J NEUROSCI, V14, P6435
[2]  
[Anonymous], 2000, PRINCIPLES MULTIVARI
[3]   Dynamics of population code for working memory in the prefrontal cortex [J].
Baeg, EH ;
Kim, YB ;
Huh, K ;
Mook-Jung, I ;
Kim, HT ;
Jung, MW .
NEURON, 2003, 40 (01) :177-188
[4]   Conflict monitoring and cognitive control [J].
Botvinick, MM ;
Braver, TS ;
Barch, DM ;
Carter, CS ;
Cohen, JD .
PSYCHOLOGICAL REVIEW, 2001, 108 (03) :624-652
[5]   Neuronal responses in the frontal cortico-basal ganglia system during delayed matching-to-sample task: ensemble recording in freely moving rats [J].
Chang, JY ;
Chen, L ;
Luo, F ;
Shi, LH ;
Woodward, DJ .
EXPERIMENTAL BRAIN RESEARCH, 2002, 142 (01) :67-80
[6]   Principal component analysis of neuronal ensemble activity reveals multidimensional somatosensory representations [J].
Chapin, JK ;
Nicolelis, MAL .
JOURNAL OF NEUROSCIENCE METHODS, 1999, 94 (01) :121-140
[7]   Selective delay activity in the medial prefrontal cortex of the rat: Contribution of sensorimotor information and contingency [J].
Cowen, Stephen L. ;
McNaughton, Bruce L. .
JOURNAL OF NEUROPHYSIOLOGY, 2007, 98 (01) :303-316
[8]   Neurocomputational models of working memory [J].
Durstewitz, Daniel ;
Seamans, Jeremy K. ;
Sejnowski, Terrence J. .
NATURE NEUROSCIENCE, 2000, 3 (11) :1184-1191
[9]   Apparent encoding of sequential context in rat medial prefrontal cortex is accounted for by behavioral variability [J].
Euston, David R. ;
McNaughton, Bruce L. .
JOURNAL OF NEUROSCIENCE, 2006, 26 (51) :13143-13155
[10]   Network memory [J].
Fuster, JM .
TRENDS IN NEUROSCIENCES, 1997, 20 (10) :451-459