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Research Articles, Behavioral/Cognitive

Network Controllability in the Inferior Frontal Gyrus Relates to Controlled Language Variability and Susceptibility to TMS

John D. Medaglia, Denise Y. Harvey, Nicole White, Apoorva Kelkar, Jared Zimmerman, Danielle S. Bassett and Roy H. Hamilton
Journal of Neuroscience 11 July 2018, 38 (28) 6399-6410; DOI: https://doi.org/10.1523/JNEUROSCI.0092-17.2018
John D. Medaglia
2Department of Neurology, 8Department of Psychology, Drexel University, Philadelphia, Pennsylvania, 19104
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Denise Y. Harvey
2Department of Neurology, 7Moss Rehabilitation Research Institute, Elkins Park, Pennsylvania, 19027, and
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Nicole White
2Department of Neurology,
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Apoorva Kelkar
2Department of Neurology, 8Department of Psychology, Drexel University, Philadelphia, Pennsylvania, 19104
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Jared Zimmerman
3Department of Neuroscience,
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Danielle S. Bassett
2Department of Neurology, 4Department of Electrical and Systems Engineering, 5Department of Bioengineering, 6Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, Pennsylvania, 19104,
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Roy H. Hamilton
2Department of Neurology,
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Abstract

In language production, humans are confronted with considerable word selection demands. Often, we must select a word from among similar, acceptable, and competing alternative words to construct a sentence that conveys an intended meaning. In recent years, the left inferior frontal gyrus (LIFG) has been identified as being critical to this ability. Despite a recent emphasis on network approaches to understanding language, how the LIFG interacts with the brain's complex networks to facilitate controlled language performance remains unknown. Here, we take a novel approach to understanding word selection as a network control process in the brain. Using an anatomical brain network derived from high-resolution diffusion spectrum imaging, we computed network controllability underlying the site of transcranial magnetic stimulation (TMS) in the LIFG between administrations of language tasks that vary in response (cognitive control) demands: open-response tasks (word generation) versus closed response tasks (number naming). We found that a statistic that quantifies the LIFG's theoretically predicted control of communication across modules in the human connectome explains TMS-induced changes in open-response language task performance only. Moreover, we found that a statistic that quantifies the LIFG's theoretically predicted control of difficult-to-reach states explains vulnerability to TMS in the closed-ended (but not open-ended) response task. These findings establish a link among network controllability, cognitive function, and TMS effects.

SIGNIFICANCE STATEMENT This work illustrates that network control statistics applied to anatomical connectivity data demonstrate relationships with cognitive variability during controlled language tasks and TMS effects.

  • cognitive control
  • connectomics
  • diffusion imaging
  • neural networks
  • neuroimaging
  • TMS
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The Journal of Neuroscience: 38 (28)
Journal of Neuroscience
Vol. 38, Issue 28
11 Jul 2018
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Network Controllability in the Inferior Frontal Gyrus Relates to Controlled Language Variability and Susceptibility to TMS
John D. Medaglia, Denise Y. Harvey, Nicole White, Apoorva Kelkar, Jared Zimmerman, Danielle S. Bassett, Roy H. Hamilton
Journal of Neuroscience 11 July 2018, 38 (28) 6399-6410; DOI: 10.1523/JNEUROSCI.0092-17.2018

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Network Controllability in the Inferior Frontal Gyrus Relates to Controlled Language Variability and Susceptibility to TMS
John D. Medaglia, Denise Y. Harvey, Nicole White, Apoorva Kelkar, Jared Zimmerman, Danielle S. Bassett, Roy H. Hamilton
Journal of Neuroscience 11 July 2018, 38 (28) 6399-6410; DOI: 10.1523/JNEUROSCI.0092-17.2018
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Keywords

  • cognitive control
  • connectomics
  • diffusion imaging
  • neural networks
  • neuroimaging
  • TMS

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JNeurosci   Print ISSN: 0270-6474   Online ISSN: 1529-2401