Functional neural circuits for mental timekeeping

被引:113
作者
Stevens, Michael C.
Kiehl, Kent A.
Pearlson, Godfrey
Calhoun, Vince D.
机构
[1] Olin Neuropsychiat Res Ctr, Hartford, CT USA
[2] Yale Univ, Sch Med, Dept Psychiat, New Haven, CT USA
[3] Yale Univ, Sch Med, Dept Psychol, New Haven, CT USA
关键词
independent component analysis; network; timing; brain; MRI; syncopate; synchronize; INDEPENDENT COMPONENT ANALYSIS; POSITRON-EMISSION-TOMOGRAPHY; ANTERIOR CINGULATE CORTEX; SUPPLEMENTARY MOTOR AREA; EVENT-RELATED FMRI; BASAL GANGLIA; PARIETAL CORTEX; FINGER MOVEMENTS; TIME PERCEPTION; CEREBRAL ACTIVATION;
D O I
10.1002/hbm.20285
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Theories of mental timekeeping suggest frontostriatal networks may mediate performance of tasks requiring precise timing. We assessed whether frontostriatal networks are functionally integrated during the performance of timing tasks. Functional magnetic resonance imaging (fMRI) data from 31 healthy adults were collected during performance of several different types of discrete interval timing tasks. Independent component analysis (ICA) was used to examine functional connectivity within frontostriatal circuits. ICA identifies groups of spatially discrete brain regions sharing similar patterns of hemodynamic signal change over time. The results confirm the existence of a frontostriatal neural timing circuit that includes anterior cingulate gyrus, supplementary motor area, bilateral anterior insula, bilateral putamen/globus pallidus, bilateral thalamus, and right superior temporal gyrus and supramarginal gyrus. Several other distinct neural circuits were identified that may represent the neurobiological substrates of different information processing stages of mental timekeeping. Small areas of right cerebellum were engaged in several of these circuits, suggesting that cerebellar function may be important in, but not the primary substrate of, the mental timing tasks used in this experiment. These findings are discussed within the context of current biological and information processing models of neural timekeeping.
引用
收藏
页码:394 / 408
页数:15
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