Literature DB >> 22484662

A cable theory based biophysical model of resistance change in crab peripheral nerve and human cerebral cortex during neuronal depolarisation: implications for electrical impedance tomography of fast neural activity in the brain.

Adam Liston1, Richard Bayford, David Holder.   

Abstract

Electrical impedance tomography (EIT) is a medical imaging method with the potential to image resistance changes which occur during neuronal depolarisation in the brain with a resolution of milliseconds and millimetres. Most biomedical EIT is conducted with applied current over 10 kHz, as this reduces electrode impedance and so instrumentation artefact. However, impedance changes during neuronal depolarization are negligible at such frequencies. In order to estimate optimal recording frequency and specify instrumentation requirements, we have modelled their amplitude and frequency dependence during evoked activity using cable theory. Published values were used for the electrical properties and geometry of cell processes. The model was adjusted for the filtering effect of membrane capacitance and proportion of active neurons. At DC, resistance decreases by 2.8 % in crab nerve during the compound action potential and 0.6 % (range 0.06-1.7 %) locally in cerebral cortex during evoked physiological activity. Both predictions correlate well with independent experimental data. This encourages the view that true tomographic imaging of fast neural activity in the brain is possible, at least with epicortical electrodes in the first instance. It is essential to undertake this at low frequencies below about 100 Hz as above 1 kHz the signal becomes vanishingly small.

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Year:  2012        PMID: 22484662     DOI: 10.1007/s11517-012-0901-0

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  37 in total

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Journal:  Med Biol Eng Comput       Date:  1987-01       Impact factor: 2.602

8.  A method for recording resistance changes non-invasively during neuronal depolarization with a view to imaging brain activity with electrical impedance tomography.

Authors:  Ori Gilad; Anthony Ghosh; Dongin Oh; David S Holder
Journal:  J Neurosci Methods       Date:  2009-03-26       Impact factor: 2.390

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Authors:  O Gilad; D S Holder
Journal:  Neuroimage       Date:  2009-05-06       Impact factor: 6.556

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  7 in total

Review 1.  A review of anisotropic conductivity models of brain white matter based on diffusion tensor imaging.

Authors:  Zhanxiong Wu; Yang Liu; Ming Hong; Xiaohui Yu
Journal:  Med Biol Eng Comput       Date:  2018-06-01       Impact factor: 2.602

2.  Optimization of the electrode drive pattern for imaging fascicular compound action potentials in peripheral nerve with fast neural electrical impedance tomography.

Authors:  Enrico Ravagli; Svetlana Mastitskaya; Nicole Thompson; Kirill Aristovich; David Holder
Journal:  Physiol Meas       Date:  2019-12-03       Impact factor: 2.833

3.  Modeling the effect of dendritic input location on MEG and EEG source dipoles.

Authors:  Seppo P Ahlfors; Christopher Wreh
Journal:  Med Biol Eng Comput       Date:  2015-04-12       Impact factor: 2.602

4.  Investigation of potential artefactual changes in measurements of impedance changes during evoked activity: implications to electrical impedance tomography of brain function.

Authors:  Kirill Y Aristovich; Gustavo S Dos Santos; David S Holder
Journal:  Physiol Meas       Date:  2015-05-26       Impact factor: 2.833

Review 5.  Membrane resistance and shunting inhibition: where biophysics meets state-dependent human neurophysiology.

Authors:  Walter Paulus; John C Rothwell
Journal:  J Physiol       Date:  2016-05-15       Impact factor: 5.182

6.  Imaging fast electrical activity in the brain with electrical impedance tomography.

Authors:  Kirill Y Aristovich; Brett C Packham; Hwan Koo; Gustavo Sato Dos Santos; Andy McEvoy; David S Holder
Journal:  Neuroimage       Date:  2015-09-05       Impact factor: 6.556

7.  Empirical validation of statistical parametric mapping for group imaging of fast neural activity using electrical impedance tomography.

Authors:  B Packham; G Barnes; G Sato Dos Santos; K Aristovich; O Gilad; A Ghosh; T Oh; D Holder
Journal:  Physiol Meas       Date:  2016-05-20       Impact factor: 2.833

  7 in total

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