computational neural model of the alterations in...

1
REFERENCES METHODS RESULTS ACKNOWLEDGMENTS INTRODUCTION CONCLUSIONS 1: Department of Physiology, 2: Division of Neurobiology and Evelyn F. McKnight Brain Institute, 3: Department of Psychology and Applied Mathematics, University of Arizona, Tucson, AZ. , , Gregory L Powell Jason Q Pilarski Ralph F Fregosi, and Jean-Marc Fellous 1 1,2 1 3 Contact information: [email protected] Prenatal nicotine exposure (PNE) alters nicotinic transmission in the PreBotzinger Complex (PBC), particularly rhythm frequency (Fregosi and Pilarski 2008) Creation of a computational model will allow for prediction of the mechanisms of action in currents mediated by nicotinic acetylcholine receptors (nAChRs) A hybrid pacemaker-follower network model of rhythm generation with a strong persistent sodium current (I ) in 10% of the neurons was NaP used in the NEURON Simulation Environment Simulated the effect of the up- or down-regulation of nicotinic receptors on membrane and synaptic currents and how respiratory frequency and network synchrony were affected Current models of PBC neurons do not include the effects of nicotinic receptors Nicotinic receptors are known to modulate inspiratory rhythm frequency, but their location and density are unknown Both persistent sodium currents and calcium currents have been speculated to control rhythm generation in the PBC network (Butera et al 1999; Rybak et al 1997) Channel properties were obtained from previously published work 50 neurons = 5 bursters + 45 followers Synaptic conductances varied with neuron type. No neurons synapsed onto themselves. Oscillations within the network are initiated by a controlled current pulse to the bursters only. Synchrony was calculated in MATLAB using a 10ms bin size. Data is presented as mean +/- SD. Fits are 2nd order polynomial. Significance was determined using Student’s t-test. All significances are computed relative to the baseline network. P<0.05. N=10 simulations for all trials unless otherwise noted. Increases in persistent sodium conductance cause increases in burst frequency but little significant change in intraburst frequency or network synchrony Computational neural model of the alterations in respiratory rhythm generation caused by developmental, environmental, and genetic abnormalities Bursters Interconnected Interconnections not shown Individual Connections between Neurons Increases in calcium conductance cause no significant change in intraburst or burst frequency, but a slight increase in network synchrony Increases in potassium-IAHP conductance cause decreases in intraburst frequency, but no significant change in burst frequency or network synchrony Increases in synaptic conductance cause an increase in intraburst frequency, a decrease in burst frequency, and an increase in network synchrony Ectopic bursts are synchronous throughout the network but do not elicit a full burst Model cell Leak current Potassium, delayed- rectifier current Voltage-senstive sodium currrent Potassium- IAHP current Persistent sodium current Calcium current Calcium shell AMPA receptor NMDA receptor 0 1 2 3 4 5 6 7 8 9 10 5 10 15 20 25 30 35 40 45 50 Time (s) Neuron 0 1 2 3 4 5 6 7 8 9 10 5 10 15 20 25 30 35 40 45 50 Time (s) -15% of baseline persistent sodium current. 0 1 2 3 4 5 6 7 8 9 10 5 10 15 20 25 30 35 40 45 50 Time (s) 0 1 2 3 4 5 6 7 8 9 10 5 10 15 20 25 30 35 40 45 50 Time (s) 0 1 2 3 4 5 6 7 8 9 10 10 20 30 40 50 Time (s) 0 1 2 3 4 5 6 7 8 9 10 5 10 15 20 25 30 35 40 45 50 Time (s) 0 1 2 3 4 5 6 7 8 9 10 5 10 15 20 25 30 35 40 45 50 Time (s) 0 1 2 3 4 5 6 7 8 9 10 5 10 15 20 25 30 35 40 45 50 Time (s) +25% of baseline persistent sodium current. +15% baseline synaptic conductance. -25% baseline synaptic conductance. +25% baseline calcium conductance. -25% of baseline calcium conductance. +25% baseline calcium-dependent K+ current. -25% baseline calcium-dependent K+ current. An ectopic burst (*) seen experimentally (Del Negro et al 2002) A comparison of a bursting PBC neuron obtained experimentally and seen in the model. Burst Frequency gkbar_iahp(% difference from control) -60 -40 -20 0 20 40 60 Frequency (Hz) 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 Intraburst Frequency gbar_ca(% difference from control) -60 -40 -20 0 20 40 60 Frequency (Hz) 20 40 60 80 100 120 140 486.16 50 neuron network with 10% increases in I , I , and I and synaptic NaP Ca ahp conductance, mimics changes seen after acute exposure to nicotine in vitro The authors would like to thank the Science Foundation of Arizona and the American Heart Association (AHA 0855713G) for funding this work. Del Negro et al.(2002). Respiratory Rhythm: An Emergent Network Property? Neuron, Vol. 34: 821-830. Shao and Feldman (2001). Mechanisms Underlying Regulation of Respiratory Pattern by Nicotine in PreBotzinger Complex. J Neurophysiol,. 85: 2461-246, 2001. Fregosi and Pilarski (2008). Prenatal nicotine exposure and development of nicotinic and fast amino acid-mediated neurotransmission in the control of breathing. Resp. Phsy. & Neurobio. Vol 184: 80-86. Butera et al (1999). Models of Respiratory Rhythm Generation in the Pre-Bo¨tzingerComplex. I. Bursting Pacemaker Neurons. J Neurophysiol 82:382-397, 1999. Rybak et al (1997). Modeling Neural Mechanisms for Genesis of Respiratory Rhythm and Pattern. I. Models of Respiratory Neurons. J Neurophysiol 77:1994-2006, 1997. 5 sec 10 mV 5 sec 10 mV 5 sec 10 mV Bursting cell recorded experimentally (unpublished, Pilarski, JQ) Shao and Feldman (2001) Model with simulated exposure to nicotine. The model is able to reproduce bursts similar to that seen experimentally Ectopic bursts comparable to those seen in vitro are present within the model and are synchronous throughout the network, but do not elicit a full burst Increases in persistent sodium conductance cause a significant increase in network burst frequency, whereas changes to calcium and calcium-dependent potassium conductances have no significant effect on burst frequency The model is able to accurately reproduce the effects of nicotine on PBC network behavior Calcium pump 5 sec 10 mV 5 sec 10 mV 5 sec 10 mV Burst Frequency g_NaP (% difference from control) -60 -40 -20 0 20 40 60 Frequency (Hz) 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 Synchrony g_NaP (% difference from control) -60 -40 -20 0 20 40 60 Synchrony Index 0.0 0.2 0.4 0.6 0.8 1.0 Intraburst Frequency gkbar_iahp(% difference from control) -60 -40 -20 0 20 40 60 Frequency (Hz) 20 40 60 80 100 120 140 Synchrony gkbar_iahp(% difference from control) -60 -40 -20 0 20 40 60 Synchrony Index 0.0 0.2 0.4 0.6 0.8 1.0 Burst Frequency gbar_ca(% difference from control) -60 -40 -20 0 20 40 60 Frequency (Hz) 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 Synchrony gbar_ca(% difference from control) -60 -40 -20 0 20 40 60 Synchrony Index 0.0 0.2 0.4 0.6 0.8 1.0 Synchrony Synaptic Conductance (% difference from control) -60 -40 -20 0 20 40 60 Synchrony Index 0.0 0.2 0.4 0.6 0.8 1.0 5 sec 10 mV 5 sec 10 mV 5 sec 10 mV Experimental data Experimental data Intraburst Frequency g_NaP (% difference from control) -60 -40 -20 0 20 40 60 Frequency (Hz) 20 40 60 80 100 120 140 N= 20 for g_NaP(-15) Intraburst Frequency Frequency (Hz) 0 20 40 60 80 100 120 Baseline Nicotine Synchrony Synchrony Index 0.0 0.2 0.4 0.6 0.8 1.0 Baseline Nicotine Burst Frequency Frequency (Hz) 0.0 0.2 0.4 0.6 0.8 1.0 Baseline Nicotine Burst Frequency Synaptic conductance (%difference from control) -60 -40 -20 0 20 40 60 Frequency (Hz) 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 Intraburst Frequency Synaptic conductance (% difference from control) -60 -40 -20 0 20 40 60 Frequency (Hz) 20 40 60 80 100 120 140 0 2 4 6 8 10 12 14 16 18 20 5 10 15 20 25 30 35 40 45 50 Time (s) For nicotine simulations, n=7

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REFERENCES

METHODS

RESULTS

ACKNOWLEDGMENTS

INTRODUCTION

CONCLUSIONS

1: Department of Physiology, 2: Division of Neurobiology and Evelyn F. McKnight Brain Institute, 3: Department of Psychology and Applied Mathematics, University of Arizona, Tucson, AZ.

, , Gregory L Powell Jason Q Pilarski Ralph F Fregosi, and Jean-Marc Fellous 1 1,21 3

Contact information: [email protected]

Prenatal nicotine exposure (PNE) alters nicotinic transmission in the PreBotzinger Complex (PBC), particularly rhythm frequency (Fregosi and Pilarski 2008)

Creation of a computational model will allow for prediction of the mechanisms of action in currents mediated by nicotinic acetylcholine receptors (nAChRs)

A hybrid pacemaker-follower network model of rhythm generation with a strong persistent sodium current (I ) in 10% of the neurons was NaP

used in the NEURON Simulation Environment

Simulated the effect of the up- or down-regulation of nicotinic receptors on membrane and synaptic currents and how respiratory frequency and network synchrony were affected

Current models of PBC neurons do not include the effects of nicotinic receptors

Nicotinic receptors are known to modulate inspiratory rhythm frequency, but their location and density are unknown

Both persistent sodium currents and calcium currents have been speculated to control rhythm generation in the PBC network (Butera et al 1999; Rybak et al 1997)

Channel properties were obtained from previously published work

50 neurons = 5 bursters + 45 followers

Synaptic conductances varied with neuron type.

No neurons synapsed ontothemselves.

Oscillations within the network are initiated by a controlled current pulse to the bursters only.Synchrony was calculated in MATLAB using a 10ms bin size.Data is presented as mean +/- SD.Fits are 2nd order polynomial.Significance was determined using Student’s t-test. All significances are computed relative to the baseline network. P<0.05.N=10 simulations for all trials unless otherwise noted.

Increases in persistent sodium conductance cause increases in burst frequency but little significant change in intraburst

frequency or network synchrony

Computational neural model of the alterations in respiratory rhythm generationcaused by developmental, environmental, and genetic abnormalities

BurstersInterconnected

Interconnections not shown

Individual Connections between Neurons

Increases in calcium conductance cause no significant change in intraburst or burst frequency, but a slight increase in network synchrony

Increases in potassium-IAHP conductance cause decreases in intraburst frequency, but no significant change in burst frequency or

network synchrony

Increases in synaptic conductance cause an increase in intraburst frequency, a decrease in burst frequency, and an increase in

network synchrony

Ectopic bursts are synchronous throughout the network but do not elicit a

full burst

Model cell

Leak current

Potassium, delayed-rectifier current

Voltage-senstive sodium currrent Potassium-

IAHP current

Persistent sodium current

Calcium current

Calcium shell

AMPA receptor

NMDA receptor

0 1 2 3 4 5 6 7 8 9 10

5

10

15

20

25

30

35

40

45

50

Time (s)

Ne

uro

n

0 1 2 3 4 5 6 7 8 9 10

5

10

15

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40

45

50

Time (s)

-15% of baseline persistent sodium current.

0 1 2 3 4 5 6 7 8 9 10

5

10

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30

35

40

45

50

Time (s)

0 1 2 3 4 5 6 7 8 9 10

5

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25

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35

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45

50

Time (s)

0 1 2 3 4 5 6 7 8 9 10

10

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50

Time (s)

0 1 2 3 4 5 6 7 8 9 10

5

10

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50

Time (s)

0 1 2 3 4 5 6 7 8 9 10

5

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Time (s)

0 1 2 3 4 5 6 7 8 9 10

5

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Time (s)

+25% of baseline persistent sodium current.+15% baseline synaptic conductance.

-25% baseline synaptic conductance.

+25% baseline calcium conductance.

-25% of baseline calcium conductance.

+25% baseline calcium-dependent K+ current.

-25% baseline calcium-dependent K+ current.

An ectopic burst (*) seen experimentally

(Del Negro et al 2002)

A comparison of a bursting PBC neuron obtained experimentally and seen in the model.

Burst Frequency

gkbar_iahp(% difference from control)

-60 -40 -20 0 20 40 60

Frequency (Hz)

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

1.6

1.8

Intraburst Frequency

gbar_ca(% difference from control)

-60 -40 -20 0 20 40 60

Frequency (Hz)

20

40

60

80

100

120

140

486.16

50 neuron network with 10% increases in I , I , and I and synaptic NaP Ca ahp

conductance, mimics changes seen after acute exposure to nicotine in vitro

The authors would like to thank the Science Foundation of Arizona and the American Heart Association (AHA 0855713G) for funding this work.

Del Negro et al.(2002). Respiratory Rhythm: An Emergent Network Property? Neuron, Vol. 34: 821-830.

Shao and Feldman (2001). Mechanisms Underlying Regulation of Respiratory Pattern by Nicotine in PreBotzinger Complex. J Neurophysiol,. 85: 2461-246, 2001.

Fregosi and Pilarski (2008). Prenatal nicotine exposure and development of nicotinic and fast amino acid-mediated neurotransmission in the control of breathing. Resp. Phsy. & Neurobio. Vol 184: 80-86.

Butera et al (1999). Models of Respiratory Rhythm Generation in the Pre-Bo¨tzingerComplex. I. Bursting Pacemaker Neurons. J Neurophysiol 82:382-397, 1999.

Rybak et al (1997). Modeling Neural Mechanisms for Genesis of Respiratory Rhythm and Pattern. I. Models of Respiratory Neurons. J Neurophysiol 77:1994-2006, 1997.

5 sec

10 mV

5 sec

10 mV

5 sec

10 mV

Bursting cell recorded experimentally (unpublished, Pilarski, JQ)

Shao and Feldman (2001)

Model with simulated exposure to nicotine.

The model is able to reproduce bursts similar to that seen experimentally

Ectopic bursts comparable to those seen in vitro are present within the model and are synchronous throughout the network, but do not elicit a full burst

Increases in persistent sodium conductance cause a significant increase in network burst frequency, whereas changes to calcium and calcium-dependent potassium conductances have no significant effect on burst frequency

The model is able to accurately reproduce the effects of nicotine on PBC network behavior

Calcium pump

5 sec

10 mV

5 sec

10 mV

5 sec

10 mV

Burst Frequency

g_NaP (% difference from control)

-60 -40 -20 0 20 40 60

Frequency (Hz)

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

Synchrony

g_NaP (% difference from control)

-60 -40 -20 0 20 40 60

Synchrony Index

0.0

0.2

0.4

0.6

0.8

1.0

Intraburst Frequency

gkbar_iahp(% difference from control)

-60 -40 -20 0 20 40 60

Frequency (Hz)

20

40

60

80

100

120

140

Synchrony

gkbar_iahp(% difference from control)

-60 -40 -20 0 20 40 60

Synchrony Index

0.0

0.2

0.4

0.6

0.8

1.0

Burst Frequency

gbar_ca(% difference from control)

-60 -40 -20 0 20 40 60

Frequency (Hz)

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

1.6

1.8

Synchrony

gbar_ca(% difference from control)

-60 -40 -20 0 20 40 60

Synchrony Index

0.0

0.2

0.4

0.6

0.8

1.0

Synchrony

Synaptic Conductance (% difference from control)-60 -40 -20 0 20 40 60

Synchrony Index

0.0

0.2

0.4

0.6

0.8

1.0

5 sec

10 mV

5 sec

10 mV

5 sec

10 mV

Experimental dataExperimental data

Intraburst Frequency

g_NaP (% difference from control)

-60 -40 -20 0 20 40 60

Frequency (Hz)

20

40

60

80

100

120

140

N= 20 for g_NaP(-15)

Intraburst Frequency

Fre

quency

(Hz)

0

20

40

60

80

100

120

Baseline

Nicotine

Synchrony

Syn

chro

ny

Index

0.0

0.2

0.4

0.6

0.8

1.0

Baseline

Nicotine

Burst Frequency

Fre

quency

(Hz)

0.0

0.2

0.4

0.6

0.8

1.0

BaselineNicotine

Burst Frequency

Synaptic conductance (%difference from control)

-60 -40 -20 0 20 40 60

Frequency (Hz)

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

1.6

1.8

Intraburst Frequency

Synaptic conductance (% difference from control)

-60 -40 -20 0 20 40 60Frequency (Hz)

20

40

60

80

100

120

140

0 2 4 6 8 10 12 14 16 18 20

5

10

15

20

25

30

35

40

45

50

Time (s)

For nicotine simulations, n=7