Literature DB >> 29893711

Frequency-dependent antidromic activation in thalamocortical relay neurons: effects of synaptic inputs.

Guosheng Yi1, Warren M Grill.   

Abstract

OBJECTIVE: Deep brain stimulation (DBS) generates action potentials (APs) in presynaptic axons and fibers of passage. The APs may be antidromically propagated to invade the cell body and/or orthodromically transmitted to downstream structures, thereby affecting widespread targets distant from the electrode. Activation of presynaptic terminals also causes trans-synaptic effects, which in turn alter the excitability of the post-synaptic neurons. Our aim was to determine how synaptic inputs affect the antidromic invasion of the cell body. APPROACH: We used a biophysically-based multi-compartment model to simulate antidromic APs in thalamocortical relay (TC) neurons. We applied distributed synaptic inputs to the model and quantified how excitatory and inhibitory inputs contributed to the fidelity of antidromic activation over a range of antidromic frequencies. MAIN
RESULTS: Antidromic activation exhibited strong frequency dependence, which arose from the hyperpolarizing afterpotentials in the cell body and its respective recovery cycle. Low-frequency axonal spikes faithfully invaded the soma, whereas frequent failures of antidromic activation occurred at high frequencies. The frequency-dependent pattern of the antidromic activation masked burst-driver inputs to TC neurons from the cerebellum in a frequency-dependent manner. Antidromic activation also depended on the excitability of the cell body. Excitatory synaptic inputs improved the fidelity of antidromic activation by increasing the excitability, and inhibitory inputs suppressed antidromic activation by reducing soma excitability. Stimulus-induced depolarization of neuronal segments also facilitated antidromic propagation and activation. SIGNIFICANCE: The results reveal that synaptic inputs, stimulus frequency, and electrode position regulate antidromic activation of the cell body during extracellular stimulation. These findings provide a biophysical basis for interpreting the widespread inhibition/activation of target nuclei during DBS.

Entities:  

Mesh:

Year:  2018        PMID: 29893711      PMCID: PMC6125172          DOI: 10.1088/1741-2552/aacbff

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  61 in total

1.  Deep brain stimulation creates an informational lesion of the stimulated nucleus.

Authors:  Warren M Grill; Andrea N Snyder; Svjetlana Miocinovic
Journal:  Neuroreport       Date:  2004-05-19       Impact factor: 1.837

2.  Network modulation in the treatment of Parkinson's disease.

Authors:  Kotaro Asanuma; Chengke Tang; Yilong Ma; Vijay Dhawan; Paul Mattis; Christine Edwards; Michael G Kaplitt; Andrew Feigin; David Eidelberg
Journal:  Brain       Date:  2006-07-14       Impact factor: 13.501

Review 3.  Activity-dependent modulation of excitability: implications for axonal physiology and pathophysiology.

Authors:  P K Stys; S G Waxman
Journal:  Muscle Nerve       Date:  1994-09       Impact factor: 3.217

4.  Axons, but not cell bodies, are activated by electrical stimulation in cortical gray matter. I. Evidence from chronaxie measurements.

Authors:  L G Nowak; J Bullier
Journal:  Exp Brain Res       Date:  1998-02       Impact factor: 1.972

5.  Frequency-correlated decreases of motor cortex activity associated with subthalamic nucleus stimulation in Parkinson's disease.

Authors:  Bernhard Haslinger; Karin Kalteis; Henning Boecker; Francois Alesch; Andrés O Ceballos-Baumann
Journal:  Neuroimage       Date:  2005-08-02       Impact factor: 6.556

6.  The association of the supernormal period and the depolarizing afterpotential in myelinated frog and rat sciatic nerve.

Authors:  C M Bowe; J D Kocsis; S G Waxman
Journal:  Neuroscience       Date:  1987-05       Impact factor: 3.590

7.  Patient-specific models of deep brain stimulation: influence of field model complexity on neural activation predictions.

Authors:  Ashutosh Chaturvedi; Christopher R Butson; Scott F Lempka; Scott E Cooper; Cameron C McIntyre
Journal:  Brain Stimul       Date:  2010-04       Impact factor: 8.955

8.  The impact on Parkinson's disease of electrical parameter settings in STN stimulation.

Authors:  E Moro; R J A Esselink; J Xie; M Hommel; A L Benabid; P Pollak
Journal:  Neurology       Date:  2002-09-10       Impact factor: 9.910

9.  Posture-related oscillations in human cerebellar thalamus in essential tremor are enabled by voluntary motor circuits.

Authors:  Sherwin E Hua; Frederick A Lenz
Journal:  J Neurophysiol       Date:  2004-08-18       Impact factor: 2.714

10.  Therapeutic deep brain stimulation in Parkinsonian rats directly influences motor cortex.

Authors:  Qian Li; Ya Ke; Danny C W Chan; Zhong-Ming Qian; Ken K L Yung; Ho Ko; Gordon W Arbuthnott; Wing-Ho Yung
Journal:  Neuron       Date:  2012-12-06       Impact factor: 17.173

View more
  5 in total

1.  In vivo microstimulation with cathodic and anodic asymmetric waveforms modulates spatiotemporal calcium dynamics in cortical neuropil and pyramidal neurons of male mice.

Authors:  Kevin C Stieger; James R Eles; Kip A Ludwig; Takashi D Y Kozai
Journal:  J Neurosci Res       Date:  2020-06-26       Impact factor: 4.164

2.  The cortical evoked potential corresponds with deep brain stimulation efficacy in rats.

Authors:  Isaac R Cassar; Warren M Grill
Journal:  J Neurophysiol       Date:  2022-04-07       Impact factor: 2.974

3.  Intracortical microstimulation pulse waveform and frequency recruits distinct spatiotemporal patterns of cortical neuron and neuropil activation.

Authors:  Kevin C Stieger; James R Eles; Kip A Ludwig; Takashi D Y Kozai
Journal:  J Neural Eng       Date:  2022-03-31       Impact factor: 5.043

4.  In vivo imaging of calcium and glutamate responses to intracortical microstimulation reveals distinct temporal responses of the neuropil and somatic compartments in layer II/III neurons.

Authors:  James R Eles; Takashi D Y Kozai
Journal:  Biomaterials       Date:  2020-01-07       Impact factor: 12.479

5.  Kilohertz waveforms optimized to produce closed-state Na+ channel inactivation eliminate onset response in nerve conduction block.

Authors:  Guosheng Yi; Warren M Grill
Journal:  PLoS Comput Biol       Date:  2020-06-15       Impact factor: 4.475

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.