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Neural mechanisms of transient neocortical beta rhythms: Converging evidence from humans, computational modeling, monkeys, and mice

Maxwell A. Sherman, Shane Lee, Robert Law, Saskia Haegens, Catherine A. Thorn, Matti S. Hämäläinen, Christopher I. Moore, and Stephanie R. Jones
PNAS August 16, 2016 113 (33) E4885-E4894; published ahead of print July 28, 2016 https://doi.org/10.1073/pnas.1604135113
Maxwell A. Sherman
aDepartment of Neuroscience, Brown University, Providence, RI 02912;bDepartment of Applied Mathematics, Brown University, Providence, RI 02912;
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Shane Lee
aDepartment of Neuroscience, Brown University, Providence, RI 02912;
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Robert Law
aDepartment of Neuroscience, Brown University, Providence, RI 02912;
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Saskia Haegens
cCognitive Neuroscience and Schizophrenia Program, Nathan Kline Institute, Orangeburg, NY 10962;dDepartment of Neurological Surgery, College of Physicians and Surgeons, Columbia University, New York, NY 10032;
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Catherine A. Thorn
aDepartment of Neuroscience, Brown University, Providence, RI 02912;
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Matti S. Hämäläinen
eAthinola A. Martinos Center, Massachusetts General Hospital, Boston, MA 02129;fDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, 02150 Espoo, Finland;gHarvard Medical School, Boston, MA 02115
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Christopher I. Moore
aDepartment of Neuroscience, Brown University, Providence, RI 02912;
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Stephanie R. Jones
aDepartment of Neuroscience, Brown University, Providence, RI 02912;
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  • For correspondence: stephanie_jones@brown.edu
  1. Edited by Nancy Kopell, Boston University, Boston, MA, and approved June 21, 2016 (received for review March 28, 2016)

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Significance

Neocortical beta is one of the most prominent signatures of neural activity measured noninvasively in humans. Beta expression is a strong predictor of healthy and pathological perceptual and motor performance. However, there is considerable debate as to whether beta itself is causally important in information and disease processes. Key to resolving this debate is understanding the neural mechanisms inducing beta. Here, building on prior work, we combined human magnetoencephalography, computational modeling, and laminar recordings in mice and monkeys to establish and test a new theory explaining the emergence of spontaneous transient neocortical beta events in somatosensory and frontal cortex. Our results enable a principled understanding of neocortical beta and can help guide studies seeking to understand its relation to function.

Abstract

Human neocortical 15–29-Hz beta oscillations are strong predictors of perceptual and motor performance. However, the mechanistic origin of beta in vivo is unknown, hindering understanding of its functional role. Combining human magnetoencephalography (MEG), computational modeling, and laminar recordings in animals, we present a new theory that accounts for the origin of spontaneous neocortical beta. In our MEG data, spontaneous beta activity from somatosensory and frontal cortex emerged as noncontinuous beta events typically lasting <150 ms with a stereotypical waveform. Computational modeling uniquely designed to infer the electrical currents underlying these signals showed that beta events could emerge from the integration of nearly synchronous bursts of excitatory synaptic drive targeting proximal and distal dendrites of pyramidal neurons, where the defining feature of a beta event was a strong distal drive that lasted one beta period (∼50 ms). This beta mechanism rigorously accounted for the beta event profiles; several other mechanisms did not. The spatial location of synaptic drive in the model to supragranular and infragranular layers was critical to the emergence of beta events and led to the prediction that beta events should be associated with a specific laminar current profile. Laminar recordings in somatosensory neocortex from anesthetized mice and awake monkeys supported these predictions, suggesting this beta mechanism is conserved across species and recording modalities. These findings make several predictions about optimal states for perceptual and motor performance and guide causal interventions to modulate beta for optimal function.

  • beta rhythm
  • magnetoencephalography
  • computational modeling
  • sensorimotor processing
  • Parkinson's disease

Footnotes

  • ↵1To whom correspondence should be addressed. Email: stephanie_jones{at}brown.edu.
  • Author contributions: M.A.S., S.L., C.I.M., and S.R.J. designed research; M.A.S., S.L., R.L., S.H., and C.A.T. performed research; M.A.S., S.L., and M.S.H. contributed new reagents/analytic tools; M.A.S., R.L., and S.H. analyzed data; and M.A.S., S.L., C.I.M., and S.R.J. wrote the paper.

  • The authors declare no conflict of interest.

  • This article is a PNAS Direct Submission.

  • This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1604135113/-/DCSupplemental.

Freely available online through the PNAS open access option.

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Neocortical beta emergence
Maxwell A. Sherman, Shane Lee, Robert Law, Saskia Haegens, Catherine A. Thorn, Matti S. Hämäläinen, Christopher I. Moore, Stephanie R. Jones
Proceedings of the National Academy of Sciences Aug 2016, 113 (33) E4885-E4894; DOI: 10.1073/pnas.1604135113

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Neocortical beta emergence
Maxwell A. Sherman, Shane Lee, Robert Law, Saskia Haegens, Catherine A. Thorn, Matti S. Hämäläinen, Christopher I. Moore, Stephanie R. Jones
Proceedings of the National Academy of Sciences Aug 2016, 113 (33) E4885-E4894; DOI: 10.1073/pnas.1604135113
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