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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. 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

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  1. MODELING THE PARKINSONIAN TREMOR AND ITS TREATMENT Amirkabir University of Technology Supervisor : Dr Towhidkhah Designed by Yashar Sarbaz

  2. PD TITLES • INTRODUCTION OF PARKINSON’S DISEASE (PD) • SIMPLE MODELING • COMPLETING THE MODEL • MODELING THE TREATMENTS

  3. 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

  4. PD 1-1.Origion of PD (BG)

  5. PD 1-2.Parts of BG

  6. 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

  7. 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

  8. PD Clinical Data Recording Velocity laser recording of rest tremor

  9. 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

  10. 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

  11. 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

  12. PD Behavior of single neuron • Membrane resistance • Membrane capacitance • longitudinal resistance

  13. PD 2-3.Mathematical model

  14. PD Changing activity of blocks Healthy Patient

  15. PD Changes of strengths of connections

  16. PD Block diagram of model

  17. PD Relations of each blocks

  18. PD Relations of each blocks

  19. PD Model response for illness case ( g=10 )

  20. PD Model response for treated case ( g=1 )

  21. PD Sample of clinical Data

  22. PD Comparing power spectra of clinical Data and model response Clinical Data Model Response

  23. 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

  24. PD 3-1.Synaptic transmission Step1 Step2

  25. PD 3-1.Synaptic transmission Step3&4

  26. PD 3-1.Synaptic transmission step5

  27. PD 3-1.Synaptic transmission step6

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

  29. PD 3-3.Noise sources in synaptic transmission of patients • Lower of uptake • Up regulation • Diffusion of neurotransmitters

  30. PD 3-4.Completing the model • Replacing with • Considering normal physiological Tremor:

  31. PD Comparing results with clinical data Model response with a=0.2 g2rof record

  32. PD Comparing results with clinical data Model response with a=0.2&b=0.2 S15rof record

  33. Changing activity of blocks

  34. 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

  35. PD 4-1.Kinds of Treatments 1-1. Medical treatment 1-2. Deep Brain Stimulation

  36. PD Medical Treatment • Levodopa Drug • L-depernil Drug

  37. PD DBS Target of Stimulation • GPi: The Globus Pallidus Internal • STN:The Subthalamic Nucleus • Vim: The Ventro-Intermediate nucleus Thlamus

  38. PD 4-2.Modeling drug effect • Pharmacodynamics • Pharmacokinetics

  39. PD Pharmacodynamics • Input is Levodopa drug • Output is plasma level of drug

  40. PD Model and clinical data

  41. PD Relation of Pharmacodynamics

  42. PD Pharmacokinetics • input is plasma level of drug • Output is g parameter of main model

  43. PD Pharmacokinetics parts • A nonlinear system (Saturation element) • A first order system • Scaling part

  44. PD Response signal of Parmacodynamics part

  45. PD Response signal of Pharmacokinetics part

  46. PD Simple model response to drug prescription

  47. PD Complete model response to drug prescription

  48. 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

  49. PD DBS characteristic for different subjects

  50. PD Clinical data of subjects when DBS switch to on

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