Abstract
Patients with schizophrenia demonstrate robust abnormalities of the synchronisation of beta oscillations that occur in diverse brain regions following sensory, motor or mental events. A prominent abnormality seen in primary motor cortex is a reduction in amplitude of so-called beta-rebound. Here a sharp decrease in neural oscillatory power in the beta band is observed during movement (MRBD) followed by an increase above baseline on movement cessation (PMBR). An understanding of how neural circuits give rise to MRBD and PMBR is clinically relevant to the pathophysiology of schizophrenia. Here we survey a very recent neural mass model for movement-induced changes in the beta rhythm and show that it is an ideal candidate for use in a clinical setting. The model arises as an exact mean-field reduction of a spiking network, has a realistic model of synaptic processing and is able to describe the dynamic changes in population synchrony that can underlie event-related desynchronisation/synchronisation for MRBD/PMBR. A lengthening of the synaptic response time to sensory drive, modelling NMDA receptor hypofunction, shows a reduction in beta-rebound consistent with that seen in schizophrenia.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Marin O (2012) Interneuron dysfunction in psychiatric disorders. Nat Rev Neurosci 13:107–120
Lam NH, Borduqui T, Hallak J, Roque AC, Anticevic A, Krystal JH, Wang X-J, Murray JD (2017) Effects of altered excitation-inhibition balance on decision making in a cortical circuit model. bioRxiv
Anticevic A, Lisman J (2017) How can global alteration of excitation/inhibition balance lead to the local dysfunctions that underlie schizophrenia? Biol Psychiatry 81:818–820
Lytton WW, Arle J, Bobashev G, Ji S, Klassen TL, Marmarelis VZ, Schwaber J, Sherif MA, Sanger TD (2017) Multiscale modeling in the clinic: diseases of the brain and nervous system. Brain Inform 4(4):219–230
Izhikevich EM, Edelman GM (2008) Large-scale model of mammalian thalamocortical systems. Proc Natl Acad Sci 105:3593–3598
Coombes S, Beim Graben P, Potthast R, Wright J (eds) (2014) Neural fields: theory and applications. Springer, Berlin/Heidelberg
Breakspear M (2017) Dynamic models of large-scale brain activity. Nat Neurosci 20:340–352
Vogels TP, Abbott LF (2009) Gating multiple signals through detailed balance of excitation and inhibition in spiking networks. Nat Neurosci 12:483–491
Sanz-Leon P, Knock SA, Spiegler A, Jirsa VK (2015) Mathematical framework for large-scale brain network modeling in the virtual brain. NeuroImage 111:385–430
Stancák A, Pfurtscheller G (1995) Desynchronization and recovery of beta rhythms during brisk and slow self-paced finger movements in man. Neurosci Lett 196:21–24
Robson SE, Brookes MJ, Hall EL, Palaniyappan L, Kumar J, Skelton M, Christodoulou NG, Qureshic A, Jan F, Liddle EB, Katshu MZ, Liddle PF, Morris PG (2016) Abnormal visuomotor processing in schizophrenia. NeuroImage: Clin 12(Supplement C):869–878
Liddle EB, Price D, Palaniyappan L, Brookes MJ, Robson SE, Hall EL, Morris PG, Liddle PF (2016) Abnormal salience signaling in schizophrenia: the role of integrative beta oscillations. Hum Brain Mapp 37:1361–1374
Byrne Á, Brookes MJ, Coombes S (2017) A mean field model for movement induced changes in the beta rhythm. J Comput Neurosci 43:143–158
Olney JW, Newcomer JW, Farber NB (1999) NMDA receptor hypofunction model of schizophrenia. J Psychiatric Res 33:523–533
Wilson HR, Cowan JD (1972) Excitatory and inhibitory interactions in localized populations of model neurons. Biophys J 12:1–24
Valdes-Sosa P, Sanchez-Bornot JM, Sotero RC, Iturria-Medina Y, Aleman-Gomez Y, Bosch-Bayard J, Carbonell F, Ozaki T (2009) Model driven EEG/fMRI fusion of brain oscillations. Hum Brain Mapp 30:2701–21
Coombes S, Byrne Á (2018) Next generation neural mass models. In: Torcini A, Corinto F (eds) Lecture notes in nonlinear dynamics in computational neuroscience: from physics and biology to ICT. Springer, Cham
Rogasch NC, Zafiris ZJ, Fitzgerald PB (2014) Cortical inhibition, excitation, and connectivity in schizophrenia: a review of insights from transcranial magnetic stimulation. Schizophr Bull 40:685–696
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Byrne, Á., Coombes, S., Liddle, P.F. (2019). A Neural Mass Model for Abnormal Beta-Rebound in Schizophrenia. In: Cutsuridis, V. (eds) Multiscale Models of Brain Disorders. Springer Series in Cognitive and Neural Systems, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-030-18830-6_3
Download citation
DOI: https://doi.org/10.1007/978-3-030-18830-6_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-18829-0
Online ISBN: 978-3-030-18830-6
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)