Our conscious day-to-day self is often described as the “tip of the iceberg” of a much greater cognitive system. The edge of the water divides the phenomenal self from the sub/unconscious underlying it. Similar to an iceberg, the unconscious activity below the water vastly outweighs the conscious activity above it. What exactly lies beneath the surface of this murky water is a tantalizing topic of research and theory. The current research predominantly focuses on the physiology of the brain and the default mode network has been identified as an intrinsic mode of functioning. It is well known that autonomic nervous system sympathovagal balance orchestrated by the central autonomic network is strongly associated with modulation of cardiac, respiratory rate and other visceral physiological activity. In this article, we use existing research and a novel theory to tie together the default mode network, the autonomic nervous system, and non-neural physiology to describe a hypothesis on a greater biological system from which intrinsic brain activity may be founded. This hypothesis is that intrinsic brain activity and connectivities are significantly founded on activity of the body. We review how cardiorespiratory and other rhythms and electrical activity of the body may modulate and even underlie fundamental activity of the human brain and ultimately the mind. A more holistic biological system that could interface the brain and body via mechanisms such as neurovascular coupling would more accurately describe the nature of neural systems. Greater knowledge on the association and interface of brain and body via isomorphic physiologic counterparts to mind may carry profound implications in understanding intrinsic activity of the brain, consciousness, mind, and mental illness.
References
[1]
Wilson, A.D. and Golonka, S. (2013) Embodied Cognition Is Not What You Think It Is. Frontiers in Psychology, 4, 58. https://doi.org/10.3389/fpsyg.2013.00058
[2]
Wilson, R.A. and Foglia, L. (2017) Embodied Cognition. In: The Stanford Encyclopedia of Philosophy, Metaphysics Research Lab, Stanford University, Stanford.
https://plato.stanford.edu/entries/embodied-cognition/
[3]
Favela, L.H. (2014) Radical Embodied Cognitive Neuroscience: Addressing “Grand Challenges” of the Mind Sciences. Frontiers in Human Neuroscience, 8, 796.
https://doi.org/10.3389/fnhum.2014.00796
[4]
Baluska, F. and Levin, M. (2016) On Having No Head: Cognition throughout Biological Systems. Frontiers in Psychology, 7, 902.
https://doi.org/10.3389/fpsyg.2016.00902
[5]
Turner, C.H., et al. (2002) Do Bone Cells Behave like a Neuronal Network? Calcified Tissue International, 70, 435-442. https://doi.org/10.1007/s00223-001-1024-z
[6]
Gundersen, K. (2016) Muscle Memory and a New Cellular Model for Muscle Atrophy and Hypertrophy. The Journal of Experimental Biology, 219, 235-242.
https://doi.org/10.1242/jeb.124495
[7]
Rosen, M.R. and Cohen, I.S. (2006) Cardiac Memory ... New Insights into Molecular Mechanisms. The Journal of Physiology, 570, 209-218.
https://doi.org/10.1113/jphysiol.2005.097873
[8]
Lobo, D., et al. (2013) A Linear-Encoding Model Explains the Variability of the Target Morphology in Regeneration. Journal of the Royal Society, Interface, 11, Article ID: 20130918. https://doi.org/10.1098/rsif.2013.0918
[9]
Alvarez, L., et al. (2014) The Computational Sperm Cell. Trends in Cell Biology, 24, 198-207. https://doi.org/10.1016/j.tcb.2013.10.004
[10]
Law, R. and Levin, M. (2015) Bioelectric Memory: Modeling Resting Potential Bistability in Amphibian Embryos and Mammalian Cells. Theoretical Biology & Medical Modelling, 12, 22. https://doi.org/10.1186/s12976-015-0019-9
[11]
Ekman, P., Levenson, R. and Friesen, W. (1983) Autonomic Nervous System Activity Distinguishes among Emotions. Science, 221, 1208-1210.
https://doi.org/10.1126/science.6612338
[12]
Liebeskind, B.J., Hillis, D.M. and Zakon, H.H. (2011) Evolution of Sodium Channels Predates the Origin of Nervous Systems in Animals. Proceedings of the National Academy of Sciences, 108, 9154-9159.
https://doi.org/10.1073/pnas.1106363108
[13]
Keijzer, F., van Duijn, M. and Lyon, P. (2013) What Nervous Systems Do: Early Evolution, Input-Output, and the Skin Brain Thesis. Adaptive Behavior, 21, 67-85.
https://doi.org/10.1177/1059712312465330
[14]
Heck, D.H., et al. (2017) Breathing as a Fundamental Rhythm of Brain Function. Frontiers in Neural Circuits, 10, 115. https://doi.org/10.3389/fncir.2016.00115
[15]
Bordoni, B., et al. (2018) The Influence of Breathing on the Central Nervous System. Cureus, 10, e2724-e2724. https://doi.org/10.7759/cureus.2724
[16]
Herrero, J.L., et al. (2018) Breathing above the Brain Stem: Volitional Control and Attentional Modulation in Humans. Journal of Neurophysiology, 119, 145-159.
https://doi.org/10.1152/jn.00551.2017
[17]
Zelano, C., et al. (2016) Nasal Respiration Entrains Human Limbic Oscillations and Modulates Cognitive Function. The Journal of Neuroscience, 36, 12448-12467.
https://doi.org/10.1523/JNEUROSCI.2586-16.2016
[18]
Lockmann, A.L.V., et al. (2016) A Respiration-Coupled Rhythm in the Rat Hippocampus Independent of Theta and Slow Oscillations. The Journal of Neuroscience, 36, 5338-5352. https://doi.org/10.1523/JNEUROSCI.3452-15.2016
[19]
Breit, S., et al. (2018) Vagus Nerve as Modulator of the Brain-Gut Axis in Psychiatric and Inflammatory Disorders. Frontiers in Psychiatry, 9, 44.
https://doi.org/10.3389/fpsyt.2018.00044
[20]
Varga, S. and Heck, D.H. (2017) Rhythms of the Body, Rhythms of the Brain: Respiration, Neural Oscillations, and Embodied Cognition. Consciousness and Cognition, 56, 77-90. https://doi.org/10.1016/j.concog.2017.09.008
[21]
Fingelkurts, A.A., Fingelkurts, A.A. and Neves, C.F.H. (2010) Natural World Physical, Brain Operational, and Mind Phenomenal Space-Time. Physics of Life Reviews, 7, 195-249. https://doi.org/10.1016/j.plrev.2010.04.001
[22]
Fingelkurts, A.A. and Fingelkurts, A.A. (2001) Operational Architectonics of the Human Brain Biopotential Field: Towards Solving the Mind-Brain Problem. Brain and Mind, 2, 261-296. https://doi.org/10.1023/A:1014427822738
[23]
Jerath, R. and Beveridge, C. (2019) Multimodal Integration and Phenomenal Spatiotemporal Binding: A Perspective From the Default Space Theory. Frontiers in Integrative Neuroscience, 13, 2. https://doi.org/10.3389/fnint.2019.00002
[24]
Specker Sullivan, L. (2018) Pure Experience and Disorders of Consciousness. AJOB Neuroscience, 9, 107-114. https://doi.org/10.1080/21507740.2018.1459931
[25]
Edwards, S. (2006) Experiencing the Meaning of Breathing. Indo-Pacific Journal of Phenomenology, 6, 1-13. https://doi.org/10.1080/20797222.2006.11433911
[26]
Kox, M., et al. (2014) Voluntary Activation of the Sympathetic Nervous System and Attenuation of the Innate Immune Response in Humans. Proceedings of the National Academy of Sciences, 111, 7379-7384.
https://doi.org/10.1073/pnas.1322174111
[27]
Grossman, L.C.D. and Christensen, L. (2017) On Combat: The Psychology and Physiology of Deadly Conflict in War and in Peace.
[28]
Jerath, R. and Crawford, M.W. (2015) Layers of Human Brain Activity: A Functional Model Based on the Default Mode Network and Slow Oscillations. Frontiers in Human Neuroscience, 9, 248. https://doi.org/10.3389/fnhum.2015.00248
[29]
Philips, R.T., Chhabria, K. and Chakravarthy, V.S. (2016) Vascular Dynamics Aid a Coupled Neurovascular Network Learn Sparse Independent Features: A Computational Model. Frontiers in Neural Circuits, 10, 7.
https://doi.org/10.3389/fncir.2016.00007
[30]
Fingelkurts, A.A. and Fingelkurts, A.A. (2019) Brain Space and Time in Mental Disorders: Paradigm Shift in Biological Psychiatry. The International Journal of Psychiatry in Medicine, 54, 53-63. https://doi.org/10.1177/0091217418791438
[31]
Kirmayer, L.J. and Crafa, D. (2014) What Kind of Science for Psychiatry? Frontiers in Human Neuroscience, 8, 435-435. https://doi.org/10.3389/fnhum.2014.00435
[32]
Buckholtz, J.W. and Meyer-Lindenberg, A. (2012) Psychopathology and the Human Connectome: Toward a Transdiagnostic Model of Risk for Mental Illness. Neuron, 74, 990-1004. https://doi.org/10.1016/j.neuron.2012.06.002
[33]
Casey, B.J., et al. (2013) DSM-5 and RDoC: Progress in Psychiatry Research? Nature Reviews. Neuroscience, 14, 810-814. https://doi.org/10.1038/nrn3621
[34]
Walter, H. (2013) The Third Wave of Biological Psychiatry. Frontiers in Psychology, 4, 582-582. https://doi.org/10.3389/fpsyg.2013.00582
[35]
Berger, H. (1929) über das elektrenkephalogramm des menschen. European Archives of Psychiatry and Clinical Neuroscience, 87, 527-570.
https://doi.org/10.1007/BF01797193
[36]
Buckner, R.L., Andrews-Hanna, J.R. and Schacter, D.L. (2008) The Brain’s Default Network. Annals of the New York Academy of Sciences, 1124, 1-38.
https://doi.org/10.1196/annals.1440.011
[37]
Gusnard, D.A., et al. (2001) Medial Prefrontal Cortex and Self-Referential Mental Activity: Relation to a Default Mode of Brain Function. Proceedings of the National Academy of Sciences of the United States of America, 98, 4259-4264.
https://doi.org/10.1073/pnas.071043098
[38]
Gusnard, D.A. and Raichle, M.E. (2001) Searching for a Baseline: Functional Imaging and the Resting Human Brain. Nature Reviews Neuroscience, 2, 685-694.
https://doi.org/10.1038/35094500
[39]
Raichle, M.E., et al. (2001) A Default Mode of Brain Function. Proceedings of the National Academy of Sciences, 98, 676-682. https://doi.org/10.1073/pnas.98.2.676
[40]
Fingelkurts, A.A., et al. (2012) DMN Operational Synchrony Relates to Self-Cons- ciousness: Evidence from Patients in Vegetative and Minimally Conscious States. The Open Neuroimaging Journal, 6, 55-68.
https://doi.org/10.2174/1874440001206010055
[41]
Fingelkurts, A.A., et al. (2016) The Chief Role of Frontal Operational Module of the Brain Default Mode Network in the Potential Recovery of Consciousness from the Vegetative State: A Preliminary Comparison of Three Case Reports. The Open Neuroimaging Journal, 10, 41-51. https://doi.org/10.2174/1874440001610010041
[42]
Schilbach, L., et al. (2008) Minds at Rest? Social Cognition as the Default Mode of Cognizing and Its Putative Relationship to the “Default System” of the Brain. Consciousness and Cognition, 17, 457-467. https://doi.org/10.1016/j.concog.2008.03.013
[43]
Buckner, R.L. and Carroll, D.C. (2007) Self-Projection and the Brain. Trends in Cognitive Sciences, 11, 49-57. https://doi.org/10.1016/j.tics.2006.11.004
[44]
Brueggen, K., et al. (2017) Early Changes in Alpha Band Power and DMN BOLD Activity in Alzheimer’s Disease: A Simultaneous Resting State EEG-fMRI Study. Frontiers in Aging Neuroscience, 9, 319. https://doi.org/10.3389/fnagi.2017.00319
[45]
Raichle, M.E., et al. (2001) A Default Mode of Brain Function. Proceedings of the National Academy of Sciences of the United States of America, 98, 676-682.
https://doi.org/10.1073/pnas.98.2.676
[46]
Fingelkurts, A.A., Fingelkurts, A.A. and Kallio-Tamminen, T. (2016) Trait Lasting Alteration of the Brain Default Mode Network in Experienced Meditators and the Experiential Selfhood. Self and Identity, 15, 381-393.
https://doi.org/10.1080/15298868.2015.1136351
[47]
Fingelkurts, A.A., Fingelkurts, A.A. and Kallio-Tamminen (2016) Long-Term Meditation Training Induced Changes in the Operational Synchrony of Default Mode Network Modules during a Resting State. Cognitive Processing, 17, 27.
https://doi.org/10.1007/s10339-015-0743-4
[48]
Vanhaudenhuyse, A., et al. (2010) Default Network Connectivity Reflects the Level of Consciousness in Non-Communicative Brain-Damaged Patients. Brain, 133, 161-171. https://doi.org/10.1093/brain/awp313
[49]
Palhano-Fontes, F., et al. (2015) The Psychedelic State Induced by Ayahuasca Modulates the Activity and Connectivity of the Default Mode Network. PLoS ONE, 10, e0118143. https://doi.org/10.1371/journal.pone.0118143
[50]
Wu, X., et al. (2011) Altered Default Mode Network Connectivity in Alzheimer’s Disease—A Resting Functional MRI and Bayesian Network Study. Human Brain Mapping, 32, 1868-1881. https://doi.org/10.1002/hbm.21153
[51]
Padmanabhan, A., et al. (2017) The Default Mode Network in Autism. Biological Psychiatry. Cognitive Neuroscience and Neuroimaging, 2, 476-486.
https://doi.org/10.1016/j.bpsc.2017.04.004
[52]
Wang, H., et al. (2015) Evidence of a Dissociation Pattern in Default Mode Subnetwork Functional Connectivity in Schizophrenia. Scientific Reports, 5, Article No. 14655. https://doi.org/10.1038/srep14655
[53]
van Eimeren, T., et al. (2009) Dysfunction of the Default Mode Network in Parkinson Disease: A Functional Magnetic Resonance Imaging Study. Archives of Neurology, 66, 877-883. https://doi.org/10.1001/archneurol.2009.97
[54]
Revonsuo, A. (2006) Inner Presence: Consciousness as a Biological Phenomenon. MIT Press, Cambridge.
[55]
Grush, R. (2004) The Emulation Theory of Representation: Motor Control, Imagery, and Perception. Behavioral and Brain Sciences, 27, 377-442.
https://doi.org/10.1017/S0140525X04000093
[56]
Metzinger, T. (2003) Being No-One. MIT Press, Cambridge.
https://doi.org/10.7551/mitpress/1551.001.0001
[57]
Trehub, A. (2007) Space, Self, and the Theater of Consciousness. Consciousness and Cognition, 16, 310-330. https://doi.org/10.1016/j.concog.2006.06.004
[58]
Hesslow, G. (2002) Conscious Thought as Simulation of Behaviour and Perception. Trends in Cognitive Sciences, 6, 242-247.
https://doi.org/10.1016/S1364-6613(02)01913-7
[59]
Mateo, C., et al. (2017) Entrainment of Arteriole Vasomotor Fluctuations by Neural Activity Is a Basis of Blood-Oxygenation-Level-Dependent “Resting-State” Connectivity. Neuron, 96, 936-948.e3. https://doi.org/10.1016/j.neuron.2017.10.012
[60]
Ekstrom, A. (2010) How and When the fMRI BOLD Signal Relates to Underlying Neural Activity: The Danger in Dissociation. Brain Research Reviews, 62, 233-244.
https://doi.org/10.1016/j.brainresrev.2009.12.004
[61]
Scheeringa, R., et al. (2012) EEG α Power Modulation of fMRI Resting-State Connectivity. Brain Connectivity, 2, 254-264. https://doi.org/10.1089/brain.2012.0088
[62]
Jann, K., et al. (2010) Topographic Electrophysiological Signatures of fMRI Resting State Networks. PLoS ONE, 5, e12945.
https://doi.org/10.1371/journal.pone.0012945
[63]
Fox, M.D. and Raichle, M.E. (2007) Spontaneous Fluctuations in Brain Activity Observed with Functional Magnetic Resonance Imaging. Nature Reviews Neuroscience, 8, 700. https://doi.org/10.1038/nrn2201
[64]
Birn, R.M., Murphy, K. and Bandettini, P.A. (2008) The Effect of Respiration Variations on Independent Component Analysis Results of Resting State Functional Connectivity. Human Brain Mapping, 29, 740-750.
https://doi.org/10.1002/hbm.20577
[65]
Hamilton, J.P., et al. (2015) Depressive Rumination, the Default-Mode Network, and the Dark Matter of Clinical Neuroscience. Biological Psychiatry, 78, 224-230.
https://doi.org/10.1016/j.biopsych.2015.02.020
[66]
Coutinho, J.F., et al. (2016) Default Mode Network Dissociation in Depressive and Anxiety States. Brain Imaging and Behavior, 10, 147-157.
https://doi.org/10.1007/s11682-015-9375-7
[67]
Beyer, F., et al. (2017) Higher Body Mass Index Is Associated with Reduced Posterior Default Mode Connectivity in Older Adults. Human Brain Mapping, 38, 3502-3515. https://doi.org/10.1002/hbm.23605
[68]
Li, H., et al. (2015) Abnormal Resting-State Functional Connectivity within the Default Mode Network Subregions in Male Patients with Obstructive Sleep Apnea. Neuropsychiatric Disease and Treatment, 12, 203-212.
https://doi.org/10.2147/NDT.S97449
[69]
Li, Q.-G., et al. (2018) Alterations of Resting-State Functional Network Centrality in Patients with Asthma: Evidence from a Voxel-Wise Degree Centrality Analysis. NeuroReport, 29, 1151-1156. https://doi.org/10.1097/WNR.0000000000001087
[70]
Kano, M., et al. (2018) Understanding Neurogastroenterology from Neuroimaging Perspective: A Comprehensive Review of Functional and Structural Brain Imaging in Functional Gastrointestinal Disorders. Journal of Neurogastroenterology and Motility, 24, 512-527. https://doi.org/10.5056/jnm18072
[71]
Silva, D.S., et al. (2018) Default Mode Network Disruption in Stroke-Free Patients with Atrial Fibrillation. Cerebrovascular Diseases, 45, 78-84.
https://doi.org/10.1159/000486689
[72]
Cocozza, S., et al. (2018) Default Mode Network Modifications in Fabry Disease: A Resting-State fMRI Study with Structural Correlations. Human Brain Mapping, 39, 1755-1764. https://doi.org/10.1002/hbm.23949
[73]
Beissner, F., et al. (2013) The Autonomic Brain: An Activation Likelihood Estimation Meta-Analysis for Central Processing of Autonomic Function. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 33, 10503-10511.
https://doi.org/10.1523/JNEUROSCI.1103-13.2013
[74]
Bar, K.-J., et al. (2015) Relation of Autonomic Measures to the Default Mode Network. Autonomic Neuroscience: Basic and Clinical, 192, 11.
https://doi.org/10.1016/j.autneu.2015.07.282
[75]
Smith, R., et al. (2017) The Hierarchical Basis of Neurovisceral Integration. Neuroscience & Biobehavioral Reviews, 75, 274-296.
https://doi.org/10.1016/j.neubiorev.2017.02.003
[76]
Sirotin, Y.B. and Das, A. (2009) Anticipatory Haemodynamic Signals in Sensory Cortex Not Predicted by Local Neuronal Activity. Nature, 457, 475-479.
https://doi.org/10.1038/nature07664
[77]
Moore, C.I. and Cao, R. (2008) The Hemo-Neural Hypothesis: On the Role of Blood Flow in Information Processing. Journal of Neurophysiology, 99, 2035-2047.
https://doi.org/10.1152/jn.01366.2006
[78]
Chander, B.S. and Chakravarthy, V.S. (2012) A Computational Model of Neuro-Glio-Vascular Loop Interactions. PLoS ONE, 7, e48802.
https://doi.org/10.1371/journal.pone.0048802
[79]
Quaegebeur, A., Lange, C. and Carmeliet, P. (2011) The Neurovascular Link in Health and Disease: Molecular Mechanisms and Therapeutic Implications. Neuron, 71, 406-424. https://doi.org/10.1016/j.neuron.2011.07.013
[80]
Vanhoutte, P.M. and Mombouli, J.-V. (1996) Vascular Endothelium: Vasoactive Mediators. Progress in Cardiovascular Diseases, 39, 229-238.
https://doi.org/10.1016/S0033-0620(96)80003-X
[81]
Di Marco, L., et al. (2015) Is Vasomotion in Cerebral Arteries Impaired in Alzheimer’s Disease? Journal of Alzheimer’s Disease, 46, 35-53.
https://doi.org/10.3233/JAD-142976
[82]
Yuan, H., et al. (2012) Spatiotemporal Dynamics of the Brain at Rest—Exploring EEG Microstates as Electrophysiological Signatures of BOLD Resting State Networks. Neuroimage, 60, 2062-2072.
https://doi.org/10.1016/j.neuroimage.2012.02.031
[83]
Pan, W.-J., et al. (2013) Infraslow LFP Correlates to Resting-State fMRI BOLD Signals. NeuroImage, 74, 288-297. https://doi.org/10.1016/j.neuroimage.2013.02.035
[84]
Golkowski, D., et al. (2017) Coherence of BOLD Signal and Electrical Activity in the Human Brain during Deep Sevoflurane Anesthesia. Brain and Behavior, 7, e00679.
https://doi.org/10.1002/brb3.679
[85]
Obrig, H., et al. (2000) Spontaneous Low Frequency Oscillations of Cerebral Hemodynamics and Metabolism in Human Adults. NeuroImage, 12, 623-639.
https://doi.org/10.1006/nimg.2000.0657
[86]
Sirota, A. and Buzsaki, G. (2005) Interaction between Neocortical and Hippocampal Networks via Slow Oscillations. Thalamus & Related Systems, 3, 245-259.
https://doi.org/10.1017/S1472928807000258
[87]
Buzsaki, G. and Wang, X.J. (2012) Mechanisms of Gamma Oscillations. Annual Review of Neuroscience, 35, 203-225.
https://doi.org/10.1146/annurev-neuro-062111-150444
[88]
Steriade, M. (2006) Grouping of Brain Rhythms in Corticothalamic Systems. Neuroscience, 137, 1087-1106. https://doi.org/10.1016/j.neuroscience.2005.10.029
[89]
Sie, J.-H., et al. (2019) Altered Central Autonomic Network in Baseball Players: A Resting-State fMRI Study. Scientific Reports, 9, Article No. 110.
https://doi.org/10.1038/s41598-018-36329-9
[90]
Critchley, H.D., Eccles, J. and Garfinkel, S.N. (2013) Chapter 6 Interaction between Cognition, Emotion, and the Autonomic Nervous System. In: Buijs, R.M. and Swaab, D.F., Eds., Handbook of Clinical Neurology, Elsevier, Amsterdam, 59-77.
https://doi.org/10.1016/B978-0-444-53491-0.00006-7
[91]
Melnychuk, M.C., et al. (2018) Coupling of Respiration and Attention via the Locus Coeruleus: Effects of Meditation and Pranayama. Psychophysiology, 55, e13091.
https://doi.org/10.1111/psyp.13091
[92]
Gerritsen, R.J.S. and Band, G.P.H. (2018) Breath of Life: The Respiratory Vagal Stimulation Model of Contemplative Activity. Frontiers in Human Neuroscience, 12, Article No. 397. https://doi.org/10.3389/fnhum.2018.00397
[93]
Black, D.S., et al. (2013) Yogic Meditation Reverses NF-κB and IRF-Related Transcriptome Dynamics in Leukocytes of Family Dementia Caregivers in a Randomized Controlled Trial. Psychoneuroendocrinology, 38, 348-355.
https://doi.org/10.1016/j.psyneuen.2012.06.011
[94]
Büssing, A., et al. (2012) Effects of Yoga on Mental and Physical Health: A Short Summary of Reviews. Evidence-Based Complementary and Alternative Medicine, 2012, Article ID: 165410. https://doi.org/10.1155/2012/165410
[95]
Ospina, M.B., et al. (2007) Meditation Practices for Health: State of the Research. Evidence Report/Technology Assessment, 155, 1-263.
[96]
Eberth, J. and Sedlmeier, P. (2012) The Effects of Mindfulness Meditation: A Meta-Analysis. Mindfulness, 3, 174-189. https://doi.org/10.1007/s12671-012-0101-x
[97]
Jerath, R., Beveridge, C. and Barnes, V.A. (2019) Self-Regulation of Breathing as an Adjunctive Treatment of Insomnia. Frontiers in Psychiatry, 9, 780.
https://doi.org/10.3389/fpsyt.2018.00780
[98]
Jerath, R., et al. (2015) Self-Regulation of Breathing as a Primary Treatment for Anxiety. Applied Psychophysiology and Biofeedback, 40, 107-115.
https://doi.org/10.1007/s10484-015-9279-8
[99]
Fingelkurts, A.A., Fingelkurts, A.A. and Neves, C.F.H. (2013) Consciousness as a Phenomenon in the Operational Architectonics of Brain Organization: Criticality and Self-Organization Considerations. Chaos, Solitons & Fractals, 55, 13-31.
https://doi.org/10.1016/j.chaos.2013.02.007
[100]
Tort, A.B.L., Brankack, J. and Draguhn, A. (2018) Respiration-Entrained Brain Rhythms Are Global But Often Overlooked. Trends in Neurosciences, 41, 186-197.
https://doi.org/10.1016/j.tins.2018.01.007
[101]
Ito, J., et al. (2014) Whisker Barrel Cortex Delta Oscillations and Gamma Power in the Awake Mouse Are Linked to Respiration. Nature Communications, 5, 3572.
https://doi.org/10.1038/ncomms4572
[102]
Pramanik, T., et al. (2009) Immediate Effect of Slow Pace Bhastrika Pranayama on Blood Pressure and Heart Rate. The Journal of Alternative and Complementary Medicine, 15, 293-295. https://doi.org/10.1089/acm.2008.0440
[103]
Li, S. and Laskin, J.J. (2006) Influences of Ventilation on Maximal Isometric Force of the Finger Flexors. Muscle & Nerve, 34, 651-655.
https://doi.org/10.1002/mus.20592
[104]
Li, S. and Rymer, W.Z. (2011) Voluntary Breathing Influences Corticospinal Excitability of Nonrespiratory Finger Muscles. Journal of Neurophysiology, 105, 512-521.
https://doi.org/10.1152/jn.00946.2010
[105]
Iwabe, T., Ozaki, I. and Hashizume, A. (2014) The Respiratory Cycle Modulates Brain Potentials, Sympathetic Activity, and Subjective Pain Sensation Induced by Noxious Stimulation. Neuroscience Research, 84, 47-59.
https://doi.org/10.1016/j.neures.2014.03.003
[106]
Chang, R.B., et al. (2015) Vagal Sensory Neuron Subtypes that Differentially Control Breathing. Cell, 161, 622-633. https://doi.org/10.1016/j.cell.2015.03.022
[107]
Agostoni, E., et al. (1957) Functional and Histological Studies of the Vagus Nerve and Its Branches to the Heart, Lungs and Abdominal Viscera in the Cat. The Journal of Physiology, 135, 182-205. https://doi.org/10.1113/jphysiol.1957.sp005703
[108]
Powell, P.A., et al. (2018) Heart versus Head: Differential Bodily Feedback Causally Alters Economic Decision-Making. Quarterly Journal of Experimental Psychology, 71, 1949-1959. https://doi.org/10.1080/17470218.2017.1373359
[109]
Ardell, J. (2004) Intrathoracic Neuronal Regulation of Cardiac Function. In: Ardell, J.L. and Armour, J.A. Eds., Basic and Clinical Neurocardiology, Oxford University Press, New York, 118-152.
[110]
Templin, C., et al. (2019) Altered Limbic and Autonomic Processing Supports Brain-Heart Axis in Takotsubo Syndrome. European Heart Journal, 40, 1183-1187.
https://doi.org/10.1093/eurheartj/ehz068
[111]
Hiltunen, T., et al. (2014) Infra-Slow EEG Fluctuations Are Correlated with Resting-State Network Dynamics in fMRI. The Journal of Neuroscience, 34, 356-362.
https://doi.org/10.1523/JNEUROSCI.0276-13.2014
[112]
Nikulin, V.V., et al. (2014) Monochromatic Ultra-Slow (~0.1 Hz) Oscillations in the Human Electroencephalogram and Their Relation to Hemodynamics. NeuroImage, 97, 71-80. https://doi.org/10.1016/j.neuroimage.2014.04.008
[113]
Pfurtscheller, G., et al. (2011) About the Stability of Phase Shifts between Slow Oscillations Around 0.1 Hz in Cardiovascular and Cerebral Systems. IEEE Transactions on Biomedical Engineering, 58, 2064-2071.
https://doi.org/10.1109/TBME.2011.2134851
[114]
Basar, E. and Düzgün, A. (2016) The CLAIR Model: Extension of Brodmann Areas Based on Brain Oscillations and Connectivity. International Journal of Psychophysiology, 103, 185-198. https://doi.org/10.1016/j.ijpsycho.2015.02.018
[115]
Fingelkurts, A.A., Fingelkurts, A.A. and Neves, C.F.H. (2009) Phenomenological Architecture of a Mind and Operational Architectonics of the Brain: The Unified Metastable Continuum. New Mathematics and Natural Computation, 5, 221-244.
https://doi.org/10.1142/S1793005709001258
[116]
McCaig, C.D., et al. (2005) Controlling Cell Behavior Electrically: Current Views and Future Potential. Physiological Reviews, 85, 943-978.
https://doi.org/10.1152/physrev.00020.2004
[117]
Levin, M. and Stevenson, C.G. (2012) Regulation of Cell Behavior and Tissue Patterning by Bioelectrical Signals: Challenges and Opportunities for Biomedical Engineering. Annual Review of Biomedical Engineering, 14, 295-323.
https://doi.org/10.1146/annurev-bioeng-071811-150114
[118]
Funk, R. (2013) Ion Gradients in Tissue and Organ Biology. Biological Systems Open Access, 2, 105.
[119]
Levin, M. (2014) Molecular Bioelectricity: How Endogenous Voltage Potentials Control Cell Behavior and Instruct Pattern Regulation in Vivo. Molecular Biology of the Cell, 25, 3835-3850. https://doi.org/10.1091/mbc.e13-12-0708
[120]
Jerath, R. and Beveridge, C. (2018) Novel Bioelectric Mechanisms and Functional Significance of Peripheral and Central Entrainment by Respiration. World Journal of Neuroscience, 8, 480-500. https://doi.org/10.4236/wjns.2018.84038
