Delta-Beta Coupled Oscillations Underlie Temporal Prediction Accuracy

被引:198
作者
Arnal, Luc H. [1 ]
Doelling, Keith B. [1 ]
Poeppel, David [1 ,2 ]
机构
[1] NYU, Dept Psychol, New York, NY 10003 USA
[2] NYU, NYUAD Inst, Abu Dhabi 129188, U Arab Emirates
基金
美国国家卫生研究院;
关键词
auditory; motor; neuronal oscillations; sensorimotor; timing; LOW-FREQUENCY OSCILLATIONS; NEURONAL OSCILLATIONS; PHASE ENTRAINMENT; MOTOR; TIME; CORTEX; PERCEPTION; DYNAMICS; RHYTHMS; FLUCTUATIONS;
D O I
10.1093/cercor/bhu103
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The ability to generate temporal predictions is fundamental for adaptive behavior. Precise timing at the time-scale of seconds is critical, for instance to predict trajectories or to select relevant information. What mechanisms form the basis for such accurate timing? Recent evidence suggests that (1) temporal predictions adjust sensory selection by controlling neural oscillations in time and (2) the motor system plays an active role in inferring "when" events will happen. We hypothesized that oscillations in the delta and beta bands are instrumental in predicting the occurrence of auditory targets. Participants listened to brief rhythmic tone sequences and detected target delays while undergoing magnetoencephalography recording. Prior to target occurrence, we found that coupled delta (1-3 Hz) and beta (18-22 Hz) oscillations temporally align with upcoming targets and bias decisions towards correct responses, suggesting that delta-beta coupled oscillations underpin prediction accuracy. Subsequent to target occurrence, subjects update their decisions using the magnitude of the alpha-band (10-14 Hz) response as internal evidence of target timing. These data support a model in which the orchestration of oscillatory dynamics between sensory and motor systems is exploited to accurately select sensory information in time.
引用
收藏
页码:3077 / 3085
页数:9
相关论文
共 49 条
[31]  
Nobre A. C., 2012, Cognitive neuroscience of attention, V2nd, P159
[32]  
O'keefe J., 1978, HIPPOCAMPUS COGNITIV, V3, P483
[33]   PHASE RELATIONSHIP BETWEEN HIPPOCAMPAL PLACE UNITS AND THE EEG THETA-RHYTHM [J].
OKEEFE, J ;
RECCE, ML .
HIPPOCAMPUS, 1993, 3 (03) :317-330
[34]   FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data [J].
Oostenveld, Robert ;
Fries, Pascal ;
Maris, Eric ;
Schoffelen, Jan-Mathijs .
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2011, 2011
[35]   Early neural correlates of conscious somatosensory perception [J].
Palva, S ;
Linkenkaer-Hansen, K ;
Näätänen, R ;
Palva, JM .
JOURNAL OF NEUROSCIENCE, 2005, 25 (21) :5248-5258
[36]   Processes involved in tempo perception: A CNV analysis [J].
Pfeuty, M ;
Ragot, R ;
Pouthas, V .
PSYCHOPHYSIOLOGY, 2003, 40 (01) :69-76
[37]   Neurophysiology of implicit timing in serial choice reaction-time performance [J].
Praamstra, Peter ;
Kourtis, Dimitrios ;
Kwok, Hoi Fei ;
Oostenveld, Robert .
JOURNAL OF NEUROSCIENCE, 2006, 26 (20) :5448-5455
[38]   Fast and Slow Oscillations in Human Primary Motor Cortex Predict Oncoming Behaviorally Relevant Cues [J].
Saleh, Maryam ;
Reimer, Jacob ;
Penn, Richard ;
Ojakangas, Catherine L. ;
Hatsopoulos, Nicholas G. .
NEURON, 2010, 65 (04) :461-471
[39]   Dynamics of Active Sensing and perceptual selection [J].
Schroeder, Charles E. ;
Wilson, Donald A. ;
Radman, Thomas ;
Scharfman, Helen ;
Lakatos, Peter .
CURRENT OPINION IN NEUROBIOLOGY, 2010, 20 (02) :172-176
[40]   Low-frequency neuronal oscillations as instruments of sensory selection [J].
Schroeder, Charles E. ;
Lakatos, Peter .
TRENDS IN NEUROSCIENCES, 2009, 32 (01) :9-18