Alpha power indexes task-related networks on large and small scales: A multimodal ECoG study in humans and a non-human primate

Performing different tasks, such as generating motor movements or processing sensory input, requires the recruitment of specific networks of neuronal populations. Previous studies suggested that power variations in the alpha band (8-12Hz) may implement such recruitment of task-specific populations by increasing cortical excitability in task-related areas while inhibiting population-level cortical activity in task-unrelated areas (Klimesch et al., 2007; Jensen and Mazaheri, 2010). However, the precise temporal and spatial relationships between the modulatory function implemented by alpha oscillations and population-level cortical activity remained undefined. Furthermore, while several studies suggested that alpha power indexes task-related populations across large and spatially separated cortical areas, it was largely unclear whether alpha power also differentially indexes smaller networks of task-related neuronal populations. Here we addressed these questions by investigating the temporal and spatial relationships of electrocorticographic (ECoG) power modulations in the alpha band and in the broadband gamma range (70-170Hz, indexing population-level activity) during auditory and motor tasks in five human subjects and one macaque monkey. In line with previous research, our results confirm that broadband gamma power accurately tracks task-related behavior and that alpha power decreases in task-related areas. More importantly, they demonstrate that alpha power suppression lags population-level activity in auditory areas during the auditory task, but precedes it in motor areas during the motor task. This suppression of alpha power in task-related areas was accompanied by an increase in areas not related to the task. In addition, we show for the first time that these differential modulations of alpha power could be observed not only across widely distributed systems (e.g., motor vs. auditory system), but also within the auditory system. Specifically, alpha power was suppressed in the locations within the auditory system that most robustly responded to particular sound stimuli. Altogether, our results provide experimental evidence for a mechanism that preferentially recruits task-related neuronal populations by increasing cortical excitability in task-related cortical areas and decreasing cortical excitability in task-unrelated areas. This mechanism is implemented by variations in alpha power and is common to humans and the non-human primate under study. These results contribute to an increasingly refined understanding of the mechanisms underlying the selection of the specific neuronal populations required for task execution.

[1]  Rajesh P. N. Rao,et al.  Spectral Changes in Cortical Surface Potentials during Motor Movement , 2007, The Journal of Neuroscience.

[2]  N. Mesgarani,et al.  Selective cortical representation of attended speaker in multi-talker speech perception , 2012, Nature.

[3]  Á. Pascual-Leone,et al.  Spontaneous fluctuations in posterior alpha-band EEG activity reflect variability in excitability of human visual areas. , 2008, Cerebral cortex.

[4]  A. Compston The Berger rhythm: potential changes from the occipital lobes in man. , 2010, Brain : a journal of neurology.

[5]  Roshan Cools,et al.  Region-specific modulations in oscillatory alpha activity serve to facilitate processing in the visual and auditory modalities , 2014, NeuroImage.

[6]  G Pfurtscheller,et al.  Discrimination between phase-locked and non-phase-locked event-related EEG activity. , 1995, Electroencephalography and clinical neurophysiology.

[7]  I. Fried,et al.  Coupling Between Neuronal Firing, Field Potentials, and fMRI in Human Auditory Cortex , 2005, Science.

[8]  Erik Edwards,et al.  Comparison of time-frequency responses and the event-related potential to auditory speech stimuli in human cortex. , 2009, Journal of neurophysiology.

[9]  N. Birbaumer,et al.  BCI2000: a general-purpose brain-computer interface (BCI) system , 2004, IEEE Transactions on Biomedical Engineering.

[10]  Adam Gazzaley,et al.  Age-Related Changes in 1/f Neural Electrophysiological Noise , 2015, The Journal of Neuroscience.

[11]  G. Pfurtscheller,et al.  Patterns of cortical activation during planning of voluntary movement. , 1989, Electroencephalography and clinical neurophysiology.

[12]  K. Miller Broadband Spectral Change: Evidence for a Macroscale Correlate of Population Firing Rate? , 2010, The Journal of Neuroscience.

[13]  O. Jensen,et al.  Shaping Functional Architecture by Oscillatory Alpha Activity: Gating by Inhibition , 2010, Front. Hum. Neurosci..

[14]  E. Adrian,et al.  THE BERGER RHYTHM: POTENTIAL CHANGES FROM THE OCCIPITAL LOBES IN MAN , 1934 .

[15]  N. Crone,et al.  Cortical γ responses: searching high and low. , 2011, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[16]  O. Jensen,et al.  Gamma Power Is Phase-Locked to Posterior Alpha Activity , 2008, PloS one.

[17]  Mingzhou Ding,et al.  From Prestimulus Alpha Oscillation to Visual-evoked Response: An Inverted-U Function and Its Attentional Modulation , 2011, Journal of Cognitive Neuroscience.

[18]  G. Schalk,et al.  Identifying the Attended Speaker Using Electrocorticographic (ECoG) Signals. , 2015, Brain computer interfaces.

[19]  Robert T. Knight,et al.  Spatial and temporal relationships of electrocorticographic alpha and gamma activity during auditory processing , 2014, NeuroImage.

[20]  E. Fetz,et al.  Decoupling the Cortical Power Spectrum Reveals Real-Time Representation of Individual Finger Movements in Humans , 2009, The Journal of Neuroscience.

[21]  J. Rauschecker,et al.  Processing of complex sounds in the macaque nonprimary auditory cortex. , 1995, Science.

[22]  Xiaoqin Wang,et al.  Sustained firing in auditory cortex evoked by preferred stimuli , 2005, Nature.

[23]  N. Logothetis,et al.  Frequency-Band Coupling in Surface EEG Reflects Spiking Activity in Monkey Visual Cortex , 2009, Neuron.

[24]  A. Karim,et al.  Brain Oscillatory Substrates of Visual Short-Term Memory Capacity , 2009, Current Biology.

[25]  G. Pfurtscheller,et al.  Simultaneous EEG 10 Hz desynchronization and 40 Hz synchronization during finger movements. , 1992, Neuroreport.

[26]  J. Maunsell,et al.  Different Origins of Gamma Rhythm and High-Gamma Activity in Macaque Visual Cortex , 2011, PLoS biology.

[27]  R. Oostenveld,et al.  A MEMS-based flexible multichannel ECoG-electrode array , 2009, Journal of neural engineering.

[28]  R. Lesser,et al.  Functional mapping of human sensorimotor cortex with electrocorticographic spectral analysis. I. Alpha and beta event-related desynchronization. , 1998, Brain : a journal of neurology.

[29]  G. Rizzolatti,et al.  The organization of the cortical motor system: new concepts. , 1998, Electroencephalography and clinical neurophysiology.

[30]  Horst Bischof,et al.  A practical procedure for real-time functional mapping of eloquent cortex using electrocorticographic signals in humans , 2009, Epilepsy & Behavior.

[31]  T. Picton,et al.  Human auditory sustained potentials. II. Stimulus relationships. , 1978, Electroencephalography and clinical neurophysiology.

[32]  John J. Foxe,et al.  Attention-dependent suppression of distracter visual input can be cross-modally cued as indexed by anticipatory parieto-occipital alpha-band oscillations. , 2001, Brain research. Cognitive brain research.

[33]  Riitta Salmelin,et al.  Evidence for reactive magnetic 10-Hz rhythm in the human auditory cortex , 1997, Neuroscience Letters.

[34]  M. Erb,et al.  Activation of Cortical and Cerebellar Motor Areas during Executed and Imagined Hand Movements: An fMRI Study , 1999, Journal of Cognitive Neuroscience.

[35]  R. Knight,et al.  Dynamic Network Communication as a Unifying Neural Basis for Cognition, Development, Aging, and Disease , 2015, Biological Psychiatry.

[36]  J. Gross,et al.  On the Role of Prestimulus Alpha Rhythms over Occipito-Parietal Areas in Visual Input Regulation: Correlation or Causation? , 2010, The Journal of Neuroscience.

[37]  W. Singer,et al.  Dynamic predictions: Oscillations and synchrony in top–down processing , 2001, Nature Reviews Neuroscience.

[38]  P. Fries A mechanism for cognitive dynamics: neuronal communication through neuronal coherence , 2005, Trends in Cognitive Sciences.

[39]  Gerwin Schalk,et al.  NeuralAct: A Tool to Visualize Electrocortical (ECoG) Activity on a Three-Dimensional Model of the Cortex , 2015, Neuroinformatics.

[40]  R. Knight,et al.  Shifts in Gamma Phase–Amplitude Coupling Frequency from Theta to Alpha Over Posterior Cortex During Visual Tasks , 2010, Front. Hum. Neurosci..

[41]  N. Barbaro,et al.  Spatiotemporal Dynamics of Word Processing in the Human Brain , 2007, Front. Neurosci..

[42]  R. Hari,et al.  Magnetoencephalographic 10-Hz rhythm from the human auditory cortex , 1991, Neuroscience Letters.

[43]  G. Pfurtscheller,et al.  Event-related synchronization (ERS) in the alpha band--an electrophysiological correlate of cortical idling: a review. , 1996, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[44]  J. Kaas,et al.  Subdivisions of auditory cortex and ipsilateral cortical connections of the parabelt auditory cortex in macaque monkeys , 1998, The Journal of comparative neurology.

[45]  G. Pfurtscheller,et al.  Event-related synchronization of mu rhythm in the EEG over the cortical hand area in man , 1994, Neuroscience Letters.

[46]  M. Berger,et al.  High gamma activity in response to deviant auditory stimuli recorded directly from human cortex. , 2005, Journal of neurophysiology.

[47]  J. Rauschecker,et al.  Cortical Representation of Natural Complex Sounds: Effects of Acoustic Features and Auditory Object Category , 2010, The Journal of Neuroscience.

[48]  G. V. Simpson,et al.  Parieto‐occipital ∼1 0Hz activity reflects anticipatory state of visual attention mechanisms , 1998 .

[49]  N. Crone,et al.  High-frequency gamma oscillations and human brain mapping with electrocorticography. , 2006, Progress in brain research.

[50]  John J. Foxe,et al.  Increases in alpha oscillatory power reflect an active retinotopic mechanism for distracter suppression during sustained visuospatial attention. , 2006, Journal of neurophysiology.

[51]  Bijan Pesaran,et al.  Neural Correlates of Visual–Spatial Attention in Electrocorticographic Signals in Humans , 2011, Front. Hum. Neurosci..

[52]  Gerwin Schalk,et al.  A general framework for dynamic cortical function: the function-through-biased-oscillations (FBO) hypothesis , 2015, Front. Hum. Neurosci..

[53]  Noël Staeren,et al.  Sound Categories Are Represented as Distributed Patterns in the Human Auditory Cortex , 2009, Current Biology.

[54]  G. Schalk,et al.  Decoding vowels and consonants in spoken and imagined words using electrocorticographic signals in humans , 2011, Journal of neural engineering.

[55]  G. Pfurtscheller Event-related synchronization (ERS): an electrophysiological correlate of cortical areas at rest. , 1992, Electroencephalography and clinical neurophysiology.

[56]  B. Gordon,et al.  Induced electrocorticographic gamma activity during auditory perception , 2001, Clinical Neurophysiology.

[57]  T. Rasmussen,et al.  Intracarotid injection of sodium amytal for the lateralization of cerebral speech dominance. 1960. , 2007, Journal of neurosurgery.

[58]  T. Picton,et al.  Human auditory sustained potentials. I. The nature of the response. , 1978, Electroencephalography and Clinical Neurophysiology.

[59]  Á. Pascual-Leone,et al.  α-Band Electroencephalographic Activity over Occipital Cortex Indexes Visuospatial Attention Bias and Predicts Visual Target Detection , 2006, The Journal of Neuroscience.

[60]  Rajesh P. N. Rao,et al.  Broadband changes in the cortical surface potential track activation of functionally diverse neuronal populations , 2014, NeuroImage.

[61]  Matti Laine,et al.  Event-Related Desynchronization evoked by auditory stimuli , 2005, Brain Topography.

[62]  Eric Leuthardt,et al.  Decoding covert spatial attention using electrocorticographic (ECoG) signals in humans , 2012, NeuroImage.

[63]  W. Klimesch,et al.  EEG alpha oscillations: The inhibition–timing hypothesis , 2007, Brain Research Reviews.

[64]  R. Romo,et al.  α-Oscillations in the monkey sensorimotor network influence discrimination performance by rhythmical inhibition of neuronal spiking , 2011, Proceedings of the National Academy of Sciences.

[65]  Gerwin Schalk,et al.  Dynamics of electrocorticographic (ECoG) activity in human temporal and frontal cortical areas during music listening , 2012, NeuroImage.

[66]  B. Ross,et al.  Auditory processing indexed by stimulus-induced alpha desynchronization in children. , 2008, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[67]  Gal Chechik,et al.  A unifying principle underlying the extracellular field potential spectral responses in the human cortex. , 2015, Journal of neurophysiology.

[68]  Nick F. Ramsey,et al.  Frequency specific spatial interactions in human electrocorticography: V1 alpha oscillations reflect surround suppression , 2013, NeuroImage.

[69]  Jeremy R. Manning,et al.  Broadband Shifts in Local Field Potential Power Spectra Are Correlated with Single-Neuron Spiking in Humans , 2009, The Journal of Neuroscience.

[70]  Gerwin Schalk,et al.  A Practical Guide to Brain–Computer Interfacing with BCI2000: General-Purpose Software for Brain-Computer Interface Research, Data Acquisition, Stimulus Presentation, and Brain Monitoring , 2010 .

[71]  Jeffrey G. Ojemann,et al.  Power-Law Scaling in the Brain Surface Electric Potential , 2009, PLoS Comput. Biol..

[72]  S. P. Levine,et al.  Spatiotemporal patterns of beta desynchronization and gamma synchronization in corticographic data during self-paced movement , 2003, Clinical Neurophysiology.

[73]  Eric Leuthardt,et al.  Spatiotemporal dynamics of electrocorticographic high gamma activity during overt and covert word repetition , 2011, NeuroImage.

[74]  D. Poeppel,et al.  Mechanisms Underlying Selective Neuronal Tracking of Attended Speech at a “Cocktail Party” , 2013, Neuron.