Work Description

Title: Optimization of Ictal Aborting Stimulation Using the Dynamotype Taxonomy - Code & Data Open Access Deposited

h
Attribute Value
Methodology
  • Data was generated by a MATLAB script to analyze the propensity of termination for different bursters (simulated seizures) generated by a minimal model of seizure dynamics. Several thousand stimuli are applied over the duration of several burster classes, and the responses of each burster to the stimulus were analyzed. Each data point consists of information describing the burster, parameters of the applied stimulus, and the quantitative effect of the stimulus on burster duration. In the file "ReadMe.pdf," the data generation process is discussed in more detail.
Description
  • The data and scripts are meant to show how burster dynamics determine response to a single biphasic stimulus. The files include data which show trends in the propensity of termination for different burster types and the MATLAB scripts used to generate this data. The MATLAB scripts also allow the user to generate their own data sets for alternative bursting paths and stimulus parameter combinations. Furthermore, they allow the user to visually examine the effects of single stimuli in the voltage timeseries and in state space. How the user can access these features of the script is described in the file "ReadMe.pdf."
Creator
Depositor
  • mszuromi@umich.edu
Contact information
Discipline
Funding agency
  • Other Funding Agency
  • National Institutes of Health (NIH)
Other Funding agency
  • Michigan Medicine - Robbins Family Research Fund

  • Michigan Medicine - Lucas Family Research Fund
ORSP grant number
  • AWD017182
Keyword
Citations to related material
  • (PROVISIONAL) Optimization of Ictal Aborting Stimulation Using the Dynamotype Taxonomy
Resource type
Last modified
  • 11/18/2022
Published
  • 11/12/2022
Language
DOI
  • https://doi.org/10.7302/9hpp-m982
License
To Cite this Work:
Szuromi, M. P., Stacey, W. C. (2022). Optimization of Ictal Aborting Stimulation Using the Dynamotype Taxonomy - Code & Data [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/9hpp-m982

Relationships

This work is not a member of any user collections.

Files (Count: 2; Size: 20.3 MB)

Thumbnailthumbnail-column Title Original Upload Last Modified File Size Access Actions
Szuromi_Deposit_Overview.txt 2022-11-11 2022-11-11 2.74 KB Open Access
OIASUDT.zip 2022-10-27 2022-11-11 20.3 MB Open Access

Date: 10 November, 2022

Dataset Title: Optimization of Ictal Aborting Stimulation Using the Dynamotype Taxonomy - Code & Data

Dataset Creators:
Szuromi, Matthew P.
Stacey, William C.

Dataset Contact: mszuromi@umich.edu

Funding: National Institutes of Health (NIH), Michigan Medicine - Robbins Family Research Fund, Michigan Medicine - Lucas Family Research Fund

Research Overview:
The data and scripts are meant to show how burster dynamics determine response to a single biphasic stimulus. The files include data which show trends in the propensity of termination for different burster types and the MATLAB scripts used to generate this data. The MATLAB scripts also allow the user to generate their own data sets for alternative bursting paths and stimulus parameter combinations. Furthermore, they allow the user to visually examine the effects of single stimuli in the voltage timeseries and in state space. How the user can access these features of the script is described in the file "ReadMe.pdf."

Methodology:
Data was generated by a MATLAB script to analyze the propensity of termination for different bursters (simulated seizures) generated by a minimal model of seizure dynamics. Several thousand stimuli are applied over the duration of several burster classes, and the responses of each burster to the stimulus were analyzed. Each data point consists of information describing the burster, parameters of the applied stimulus, and the quantitative effect of the stimulus on burster duration. In the file "ReadMe.pdf," the data generation process is discussed in more detail.

Instrument and/or Software specifications: Matlab

Files contained here (file uses and meanings are explained in more detail in the file ReadMe.pdf):
- bifurcation_crossings_AB.mlx
- Bifurcation_Curves_R_A.mat
- check_bifurcation_order_R_A.mlx

Data (folder)
- class_2b_ictal_responses.mat
- class_2s_ictal_responses.mat
- class_3s_ictal_responses.mat
- class_4b_ictal_responses.mat
- class_10s_ictal_responses.mat
- class_11s_ictal_responses.mat
- class_14b_ictal_responses.mat
- class_16b_ictal_responses.mat

- isPointInside.mlx
- Map.fig
- Model_Current.mlx
- pert_integrate_AB.mlx
- ReadMe_Model.pdf
- ReadMe.pdf
- Resting_State_Current.mlx
- stim_loc_phase.mlx
- Stimulation_Integrator.mlx
- unpert_integrate_AB.mlx

Related publication(s):
(PROVISIONAL) Optimization of Ictal Aborting Stimulation Using the Dynamotype Taxonomy

Use and Access:
This data set is made available under a Creative Commons Noncommercial Attribution license (CC BY-NC 4.4.0)

To Cite Data:
Szuromi, M. P., Stacey, W. C. Optimization of Ictal Aborting Stimulation Using the Dynamotype Taxonomy - Code & Data [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/9hpp-m982

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