The contribution of frequency-specific activity to hierarchical information processing in the human auditory cortex

被引:169
作者
Fontolan, L. [1 ]
Morillon, B. [2 ]
Liegeois-Chauvel, C. [3 ]
Giraud, Anne-Lise [1 ]
机构
[1] Univ Geneva, Dept Neurosci, CH-1211 Geneva, Switzerland
[2] Columbia Univ, Med Ctr, Dept Psychiat, New York, NY 10032 USA
[3] Univ Aix Marseille, INSERM, U1106, Inst Neurosci Syst, F-13005 Marseille, France
来源
NATURE COMMUNICATIONS | 2014年 / 5卷
基金
欧洲研究理事会;
关键词
GRANGER CAUSALITY; NEURONAL OSCILLATIONS; NEURAL OSCILLATIONS; ALPHA OSCILLATIONS; PREDICTION ERRORS; CORTICAL RHYTHMS; VISUAL-CORTEX; BRAIN; NETWORKS; GAMMA;
D O I
10.1038/ncomms5694
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
The fact that feed-forward and top-down propagation of sensory information use distinct frequency bands is an appealing assumption for which evidence remains scarce. Here we obtain human depth recordings from two auditory cortical regions in both hemispheres, while subjects listen to sentences, and show that information travels in each direction using separate frequency channels. Bottom-up and top-down propagation dominates in gamma- and delta-beta (<40 Hz) bands, respectively. The predominance of low frequencies for top-down information transfer is confirmed by cross-regional frequency coupling, which indicates that the power of g- activity in A1 is modulated by the phase of delta-beta activity sampled from association auditory cortex (AAC). This cross-regional coupling effect is absent in the opposite direction. Finally, we show that information transfer does not proceed continuously but by time windows where bottom-up or top-down processing alternatively dominates. These findings suggest that the brain uses both frequency- and time-division multiplexing to optimize directional information transfer.
引用
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页数:10
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  • [1] Rates and Rhythms: A Synergistic View of Frequency and Temporal Coding in Neuronal Networks
    Ainsworth, Matt
    Lee, Shane
    Cunningham, Mark O.
    Traub, Roger D.
    Kopell, Nancy J.
    Whittington, Miles A.
    [J]. NEURON, 2012, 75 (04) : 572 - 583
  • [2] Delta-Beta Coupled Oscillations Underlie Temporal Prediction Accuracy
    Arnal, Luc H.
    Doelling, Keith B.
    Poeppel, David
    [J]. CEREBRAL CORTEX, 2015, 25 (09) : 3077 - 3085
  • [3] Cortical oscillations and sensory predictions
    Arnal, Luc H.
    Giraud, Anne-Lise
    [J]. TRENDS IN COGNITIVE SCIENCES, 2012, 16 (07) : 390 - 398
  • [4] Transitions in neural oscillations reflect prediction errors generated in audiovisual speech
    Arnal, Luc H.
    Wyart, Valentin
    Giraud, Anne-Lise
    [J]. NATURE NEUROSCIENCE, 2011, 14 (06) : 797 - U164
  • [5] The MVGC multivariate Granger causality toolbox: A new approach to Granger-causal inference
    Barnett, Lionel
    Seth, Anil K.
    [J]. JOURNAL OF NEUROSCIENCE METHODS, 2014, 223 : 50 - 68
  • [6] Information Processing in the Primate Basal Ganglia during Sensory-Guided and Internally Driven Rhythmic Tapping
    Bartolo, Ramon
    Prado, Luis
    Merchant, Hugo
    [J]. JOURNAL OF NEUROSCIENCE, 2014, 34 (11) : 3910 - 3923
  • [7] Canonical Microcircuits for Predictive Coding
    Bastos, Andre M.
    Usrey, W. Martin
    Adams, Rick A.
    Mangun, George R.
    Fries, Pascal
    Friston, Karl J.
    [J]. NEURON, 2012, 76 (04) : 695 - 711
  • [8] Cross-Frequency Phase-Phase Coupling between Theta and Gamma Oscillations in the Hippocampus
    Belluscio, Mariano A.
    Mizuseki, Kenji
    Schmidt, Robert
    Kempter, Richard
    Buzsaki, Gyoergy
    [J]. JOURNAL OF NEUROSCIENCE, 2012, 32 (02) : 423 - 435
  • [9] CircStat: A MATLAB Toolbox for Circular Statistics
    Berens, Philipp
    [J]. JOURNAL OF STATISTICAL SOFTWARE, 2009, 31 (10): : 1 - 21
  • [10] Neuronal Mechanisms and Attentional Modulation of Corticothalamic Alpha Oscillations
    Bollimunta, Anil
    Mo, Jue
    Schroeder, Charles E.
    Ding, Mingzhou
    [J]. JOURNAL OF NEUROSCIENCE, 2011, 31 (13) : 4935 - 4943