Research article Recurring Topics

Increasing the amplitude of intrinsic theta in the human brain

  • Received: 12 August 2020 Accepted: 27 October 2020 Published: 05 November 2020
  • In a mouse study we found increased myelination of pathways surrounding the anterior cingulate cortex (ACC) following stimulation near the theta rhythm (4–8 Hz), and evidence that this change in connectivity reduced behavioral anxiety. We cannot use the optogenetic methods with humans that were used in our mouse studies. This paper examines whether it is possible to enhance intrinsic theta amplitudes in humans using less invasive methods. The first experiment compares electrical, auditory and biofeedback as methods for increasing intrinsic theta rhythm amplitudes in the Anterior Cingulate Cortex (ACC). These methods are used alone or in conjunction with a task designed to activate the same area. The results favor using electrical stimulation in conjunction with a task targeting this region. Stimulating the ACC increases intrinsic theta more in this area than in a control area distant from the site of stimulation, suggesting some degree of localization of the stimulation. In Experiment 2, we employed electrical stimulation with the electrodes common to each person, or with electrodes selected from an individual head model. We targeted the ACC or Motor Cortex (PMC). At baseline, intrinsic theta is higher in the ACC than the PMC. In both areas, theta can be increased in amplitude by electrical stimulation plus task. In the PMC, theta levels during stimulation plus task are not significantly higher than during task alone. There is no significant difference between generic and individual electrodes. We discuss steps needed to determine whether we can use the electrical stimulation + task to improve the connectivity of white matter in different brain areas.

    Citation: Pascale Voelker, Ashley N Parker, Phan Luu, Colin Davey, Mary K Rothbart, Michael I Posner. Increasing the amplitude of intrinsic theta in the human brain[J]. AIMS Neuroscience, 2020, 7(4): 418-437. doi: 10.3934/Neuroscience.2020026

    Related Papers:

  • In a mouse study we found increased myelination of pathways surrounding the anterior cingulate cortex (ACC) following stimulation near the theta rhythm (4–8 Hz), and evidence that this change in connectivity reduced behavioral anxiety. We cannot use the optogenetic methods with humans that were used in our mouse studies. This paper examines whether it is possible to enhance intrinsic theta amplitudes in humans using less invasive methods. The first experiment compares electrical, auditory and biofeedback as methods for increasing intrinsic theta rhythm amplitudes in the Anterior Cingulate Cortex (ACC). These methods are used alone or in conjunction with a task designed to activate the same area. The results favor using electrical stimulation in conjunction with a task targeting this region. Stimulating the ACC increases intrinsic theta more in this area than in a control area distant from the site of stimulation, suggesting some degree of localization of the stimulation. In Experiment 2, we employed electrical stimulation with the electrodes common to each person, or with electrodes selected from an individual head model. We targeted the ACC or Motor Cortex (PMC). At baseline, intrinsic theta is higher in the ACC than the PMC. In both areas, theta can be increased in amplitude by electrical stimulation plus task. In the PMC, theta levels during stimulation plus task are not significantly higher than during task alone. There is no significant difference between generic and individual electrodes. We discuss steps needed to determine whether we can use the electrical stimulation + task to improve the connectivity of white matter in different brain areas.


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    Acknowledgments



    We would like to thank Don Tucker and Amanda Gunn for their assistance and support in this project.

    Funding



    This research was supported by ONR grant N00014-19-1-2015 and N00014-15-1-2148 to the University of Oregon.

    Conflict of interest



    The apparatus and laboratory used in these studies were contributed by EGI (now Phillips-EGI). One of the authors was a former employee of EGI. Members of the EGI staff including Don Tucker and Amanda Gunn advised and helped in the studies. It is understood by all parties that the design and analysis of these studies were under the direction of Dr.Voelker and Posner and that the results would be freely available to all.

    [1] Wang S, Young KM (2014) White matter plasticity in adulthood. Neuroscience 276: 148-160. doi: 10.1016/j.neuroscience.2013.10.018
    [2] Redick TS (2019) The hype cycle in working memory training. Curr Dir Psychol Sci 28: 1-7. doi: 10.1177/0963721419848668
    [3] Tang YY, Lu Q, Geng XJ, et al. (2010) Short term mental training induces white-matter changes in the anterior cingulate. PNAS 107: 17152-17156. doi: 10.1073/pnas.1007988107
    [4] Xue S, Tang YY, Tang R, et al. (2014) Short-term meditation induces changes in brain resting EEG theta networks. Brain Cogn 87: 1-6. doi: 10.1016/j.bandc.2014.02.008
    [5] Dehaene S, Posner MI, Tucker DM (1994) Localization of a neural system for error detection and compensation. Psychol Sci 5: 303-305. doi: 10.1111/j.1467-9280.1994.tb00630.x
    [6] Posner MI, Tang YY, Lynch G (2014) Mechanisms of white matter change induced by meditation. Fron Psychol 5: 1220.
    [7] Piscopo DM, Weible AP, Rothbart MK, et al. (2019) Changes in white matter in mice resulting from low frequency brain stimulation. Proc Natl Acad Sci 115: E6339-E6346. doi: 10.1073/pnas.1802160115
    [8] Weible AP, Piscopo DM, Rothbart MK, et al. (2017) Rhythmic brain stimulation reduces anxiety-relate behavior in a mouse model based on meditation training. Proc Natl Acad Sci 114: 2532-2537. doi: 10.1073/pnas.1700756114
    [9] Andrews SC, Hoy KE, Enticott PG, et al. (2011) Improving working memory: the effect of combining cognitive activity and anodal transcranial direct current stimulation to the left dorsolateral prefrontal cortex. Brain Stimul 4: 84-89. doi: 10.1016/j.brs.2010.06.004
    [10] Petersen SE, Posner MI (2012) The attention system of the human brain: 20 years after. Annu Rev Neurosci 35: 71-89. doi: 10.1146/annurev-neuro-062111-150525
    [11] Fan J, McCandliss BD, Sommer T, et al. (2002) Testing the efficiency and independence of attentional networks. J Cognit Neurosci 3: 340-347. doi: 10.1162/089892902317361886
    [12] Fan J, McCandliss BD, Fossella J, et al. (2005) The activation of attentional networks. Neuroimage 26: 471-479. doi: 10.1016/j.neuroimage.2005.02.004
    [13] Ferree T, Luu P, Russel JS, et al. (2001) Scalp electrode impedance, infection risk, and EEG data quality. Clin Neurophysiol 112: 536-544. doi: 10.1016/S1388-2457(00)00533-2
    [14] Kappenman ES, Luck SJ (2010) The effects of electrode impedance on data quality and statistical significance in ERP recordings. Psychophysiology 47: 888-904.
    [15] Fernandez-Corazza M, Turovets S, Muravchik CH (2020) Unification of optimal targeting methods in transcranial. electrical stimulation. Neuroimage 209: 116403. doi: 10.1016/j.neuroimage.2019.116403
    [16] Fernandez-Corazza M, Turovets S, Luu P, et al. (2016) Transcranial electrical neuromodulation based on the reciprocity principle. Front Psychiatry 7: 87. doi: 10.3389/fpsyt.2016.00087
    [17] Chaieb L, Wilpert EC, Reber TP, et al. (2015) Auditory Beat Stimulation and its Effects on Cognition and Mood States. Fron Psychiatry 6: 70.
    [18] Roberts BM, Clarke A, Addante RJ, et al. (2018) Entrainment enhances theta oscillations and improves episodic memory. Cognit Neurosci 9: 181-193. doi: 10.1080/17588928.2018.1521386
    [19] Raposo D, Sheppard JP, Schrater PR, et al. (2012) Multisensory decision making in rats and humans. J Neurosci 32: 3726-3735. doi: 10.1523/JNEUROSCI.4998-11.2012
    [20] Luu P, Arumugam EME, Anderson E, et al. (2016) Slow-Frequency pulsed transcranial electrical stimulation for modulation of cortical Plasticity based on reciprocity targeting with precision electrical head modeling. Front Hum Neurosci 10: 377.
    [21] Russell GS, Erricsen KJ, Poolman P, et al. (2005) Geodesic photogrammetry for localizing sensor positions in dense-array EEG. Clin Neurophysiol 116: 1130-1140. doi: 10.1016/j.clinph.2004.12.022
    [22] Curran T, Keele SW (1993) Attentional and non attentional forms of sequence learning. J Exp Psychol: Learn Mem Cogn 19: 189-202. doi: 10.1037/0278-7393.19.1.189
    [23] Grafton ST, Haselton E, Ivry R (1995) Functional mapping of sequence learning in normal humans. J Cogn Neurosci 7: 497-510. doi: 10.1162/jocn.1995.7.4.497
    [24] Tang YY, Lu Q, Fan M, et al. (2012) Mechanisms of White Matter Changes Induced by Meditation. Proc Natl Acad Sci USA 109: 10570-10574. doi: 10.1073/pnas.1207817109
    [25] Reinhart RMG, Nguyen JA (2019) Working memory revived in older adults by synchronizing rhythmic brain circuits. Nat Neurosci 22: 820-827. doi: 10.1038/s41593-019-0371-x
    [26] Reinhart RMG (2017) Disruption and rescue of interareal theta phase coupling and adaptive behavior. Proc Natl Acad Sci USA 114: 11542-11547. doi: 10.1073/pnas.1710257114
    [27] Albensi BC, Oliver DR, Toupin J, et al. (2007) Electrical stimulation protocols for hippocampal synaptic plasticity and neuronal hyper-excitability: Are they effective or relevant? Exp Neurol 204: 1-13. doi: 10.1016/j.expneurol.2006.12.009
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