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MODELING THE PARKINSONIAN TREMOR AND ITS TREATMENT. Amirkabir University of Technology. Supervisor : Dr Towhidkhah Designed by Yashar Sarbaz. PD. TITLES. INTRODUCTION OF PARKINSON’S DISEASE (PD) SIMPLE MODELING COMPLETING THE MODEL MODELING THE TREATMENTS. PD. 1.Intoduction of PD.

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modeling the parkinsonian tremor and its treatment

MODELING THE PARKINSONIAN TREMOR AND ITS TREATMENT

Amirkabir University of Technology

Supervisor : Dr Towhidkhah

Designed by Yashar Sarbaz

titles

PD

TITLES
  • INTRODUCTION OF PARKINSON’S DISEASE (PD)
  • SIMPLE MODELING
  • COMPLETING THE MODEL
  • MODELING THE TREATMENTS
1 intoduction of pd

PD

1.Intoduction of PD

1-1. Origin of PD (Basal ganglia)

1-2. Parts of Basal ganglia (BG)

1-3. PD & it’s symptoms

1 3 pd it s symptoms

PD

1-3.PD & it’s symptoms

Reason of PD:

Loss of nerve cells in substantia nigra pars compacta

Low level of Dopamine in patient’s brain

Changing activity of other blocks

1 3 pd and it s symptoms

PD

1-3.PD and it’s symptoms

Symptoms of PD:

  • Hypokinesia

Akinesia: lack of slowness of spontaneous and associative movement

Rigidity: increased tone on passive manipulation of joints

  • Tremor:rhythmic,involuntary,oscillatory

movement around 4-6 Hz

clinical data recording

PD

Clinical Data Recording

Velocity laser recording of rest tremor

2 simple modeling

PD

2.Simple modeling

2-1.Information about connections of Basal ganglia

2-2.Information about each block of Basal ganglia

2-3.Presenting mathematical model

2 1 connection of bg

PD

2-1.Connection of BG
  • The number of input and output of each block
  • The type of each input to block (Inhibitory and excitatory effect )
  • The strength changes of connections in patient and healthy cases
  • A gain corresponding to Dopamine changes
2 2 each block of bg

PD

2-2.Each block of BG
  • There are not detailed information about function of each block
  • The major criteria for separating the different parts of BG are their anatomical and structural appearance and the kind of neurotransmitters
  • Each block contain large value of neurons
behavior of single neuron

PD

Behavior of single neuron
  • Membrane resistance
  • Membrane capacitance
  • longitudinal resistance
3 completing the model

PD

3.Completing the model
  • 3-1.Synaptic transmission
  • 3-2.Noise sources in synaptic transmission of healthy persons
  • 3-3.Noise sources in synaptic transmission of patients
  • 3-4.Completing the model
3 2 noise sources in synaptic transmission of healthy persons

PD

3-2.Noise sources in synaptic transmission of healthy persons
  • Calsium amount in cell
  • Voltage gated channels
  • Diffusion of neurotransmitters
  • Ligand gated channels
3 3 noise sources in synaptic transmission of patients

PD

3-3.Noise sources in synaptic transmission of patients
  • Lower of uptake
  • Up regulation
  • Diffusion of neurotransmitters
3 4 completing the model

PD

3-4.Completing the model
  • Replacing with
  • Considering normal physiological Tremor:
comparing results with clinical data

PD

Comparing results with clinical data

Model response

with a=0.2

g2rof record

comparing results with clinical data1

PD

Comparing results with clinical data

Model response

with a=0.2&b=0.2

S15rof record

4 modeling the treatments

PD

4.MODELING THE TREATMENTS

4-1.Kinds of PD treatments

4-2.Modeling drug effect

4-3.Modeling DBS effect

4-4.Prediction based on the model

4 1 kinds of treatments

PD

4-1.Kinds of Treatments

1-1. Medical treatment

1-2. Deep Brain Stimulation

medical treatment

PD

Medical Treatment
  • Levodopa Drug
  • L-depernil Drug
slide37

PD

DBS

Target of Stimulation

  • GPi: The Globus Pallidus Internal
  • STN:The Subthalamic Nucleus
  • Vim: The Ventro-Intermediate nucleus Thlamus
4 2 modeling drug effect

PD

4-2.Modeling drug effect
  • Pharmacodynamics
  • Pharmacokinetics
pharmacodynamics

PD

Pharmacodynamics
  • Input is Levodopa drug
  • Output is plasma level of drug
pharmacokinetics

PD

Pharmacokinetics
  • input is plasma level of drug
  • Output is g parameter of main model
pharmacokinetics parts

PD

Pharmacokinetics parts
  • A nonlinear system (Saturation element)
  • A first order system
  • Scaling part
4 3 modeling dbs effect

PD

4-3.Modeling DBS effect

Characteristics of the common DBS signal:

  • Frequency greater than 100
  • Pulse width about 90
  • Amplitude of stimulation voltage nearly 3 v
4 4 prediction based on the model

PD

4-4.Prediction based on the model

4-4-1.Offering a new medical treatment

4-4-2.Optimization of the levodopa usage

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