Study on the Hippocampal Neuron's Minimal Models' Discharge Patterns

Автор: Yueping Peng, Haiying Wu, Nan Zou

Журнал: International Journal of Image, Graphics and Signal Processing(IJIGSP) @ijigsp

Статья в выпуске: 4 vol.3, 2011 года.

Бесплатный доступ

The hippocampal CA1 pyramid neuron has plenty of discharge actions. The one-compartment model of CA1 pyramid neuron developed by David is a nine-dimension complex dynamic model. In the thesis, the currents related to the nine-dimension complex model are analyzed and classified by the model’s reduction theory and methods based on neurodynamics, and four minimal models are gotten: (INa+IKdr)-minimal model, (INa+IM)-minimal model, (INa+ICa+Iy)-minimal model, and (INa+ICa+IsAHP)-minimal model. These minimal models have plenty of dynamic actions, and under the current’s stimulation, they can all generate regular discharge and have period discharge pattern, bursting pattern, the chaos discharge pattern, and so on. Compared with the initial nine-dimension complex model, these minimal models’ dimension are much reduced, and are more convenient to numerical simulation, calculating, and analyzing. In addition, these minimal models provide a simpler and flexible method to discuss the specific currents’ dynamic characteristics and functions of the initial nine-dimension complex model by the theory of neurodynamics.

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Neuron, the minimal model, discharge pattern

Короткий адрес: https://sciup.org/15012157

IDR: 15012157

Текст научной статьи Study on the Hippocampal Neuron's Minimal Models' Discharge Patterns

Published Online June 2011 in MECS

In the 1990s, neuron modeling in hippocampal region has been becoming the research hotspot in the field of neural science. Depended on electrophysiological experiments and new technologies such as optics imaging, some models of hippocampal pyramidal Neuron based on ionic conductance have been successfully constructed; The work of R.D.Traub’s research team is the most excellent[1-20]. In 1991, based on the electrophysiological experiment data of Guinea pig

The corresponding author is Yueping Peng.

hippocampal neurons, R.D.Traub had developed a 19-compartment cable model of CA3 pyramidal neuron; Based on the model, R.D.Traub’s research team had deeply studied these issues such as hippocampal neuronal network, EEG rhythm, plasticity of hippocampal neuron Synapse, electrical coupling influence on hippocampal neuron’s high frequency oscillation, and cortical neuron’s rapid oscillation[8-10]. Based on R.D.Traub research team’s achievements and the electrophysiological experiment data, Warman had developed a 16-compartment cable model of CA1 pyramidal neuron based on ionic conductance by computer simulation, and had successfully simulated electrophysiological features and experimental results of CA1 pyramid neuron[11].

The hippocampal CA1 pyramid neuron has plenty of discharge actions. Yue found that bursting behavior persists in adult CA1 pyramidal cells after almost complete truncation of the apical dendrites. The mechanism of bursting is different from the “ping-pong” mechanism, which depends on the integrity of apical dendrites[12-14]. Based on the CA1 pyramidal neuron’s membrane ionic channel theory and its electrophysiological experimental data, according to the basic frame of H-H class model, David had developed one-compartment model of CA1 Pyramidal Neuron by neurodynamic theory[15]. The model is different from former multi-compartment cable models of the hippocampal pyramid neuron. This model omits the effects of the apical dendrites and the complexity is reduced, which not only can simulate many electrophysiological features and experimental results of the hippocampal CA1 pyramid neuron, but also can spontaneously generate regular firing, tonic firing, rhythmic bursting, and so on.

In this study, we take the nine-dimension one-compartment complex model of CA1 pyramid neuron developed by David as the object, and classify the currents related to the model, and simplify the model by the minimal model’s reduction theory and method, and get the minimal models, and discuss these minimal models’ dynamic characteristics by neurodynamic theory and methods.

II. The Nine-Dimension Model of CA1 Pyramid Neuron and Its Discharge Patterns

The nine-dimension one-compartment model of CA1 pyramid neuron developed by David has multiple time scale dynamic action. The current balance equation of the model is as follows:

C dV = - I L dt

I Na - I NaP

- IKdr - IA

IM - ICa - IY

I sAHP + I App

Where C is the

membrane capacitance; V is the

membrane potential; IL is the leakage current; INa is the transient Na+ current; INaP is the persistent Na+ current; I Kdr is the delay rectification K+ current; I A is the A-type instantaneous K+ current; I M is the muscarine-sensitive K+ current; I Ca is the high-threshold Ca2+ current; I y is the fast Ca2+-activated K+ current; I S AHP is the slow Ca2+-activated K+ current; I APP is the stimulation current.

Currents of above balance equation are changed into their corresponding ionic conductance forms, and the eight corresponding time variables are also added. Therefore, the models are changed into set of nine-dimension ordinary differential equations,

CdV =- g L ( V - V L ) - g Na m 3( V ) h ( V - V Na )

dt

- g NaP p ( V )( V - V Na ) - g Kdr n 4( V - V K )

The equation model has nine time variables: the membrane potential variable V, transient Na+ current inactivation variable h, delayed rectified K+ current activation variables n, A-type instantaneous K+ current inactivation variables b, muscarine-Sensitive K+ current-activated variables Z, high-threshold Ca2+ current-activated variable r, fast Ca2+-activated K+ current-activated variable y, slow Ca2+-activated K+ current-activated variable q, and intramembrane calcium ion concentration variable [Ca2+]i. At numerical calculation, the values of model parameters refer to appendix A. In addition, the state variable of the model is (V, h, n, b, z, r, y, q, [Ca2+]i), and the initial state of the model is (-65, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.05).

The nine-dimension model of CA1 pyramid neuron showed by formula (1) can spontaneously generate regular firing, tonic firing, rhythmic bursting, and so on[15]. Based on MATLAB simulation methods, several common discharge patterns of the nine-dimension model of CA1 pyramid neuron under different currents’ stimulation are showed in Figure 1.

- g A a 3( V ) b ( V - V K ) - g M z ( V - V K )

-

g Ca r 2( V - V Ca ) - g y d ([ Ca 2 + ] i ) y ( V - V K )

Figure 1. Discharge patterns of the nine-dimension model of CA1 pyramid neuron. (a) and (d) are the period 1 discharge pattern. (b) and (e) are the bursting discharge pattern. (c) and (f) are the chaos discharge pattern.

- gsAHPq ( V - VK ) + IApp ;

dh = h ( V ) - h ; dt = τ h ( V )

dn  n ( V ) - n ;

dt = τ n ( V )

db = b ( V ) - b ;

dt      τb dz = z∞(V)-z ;

dt       τ z

dr  r ( V ) - r

= ;

dt       τ r

dy y ( V ) - y = ;

dt      τ y

dq = q ([ Ca 2 + ] i ) - q ;

dt          τ q

III. The Hippocampal CA1 Pyramid Neuron’s Minimal Models and Its Discharge Patterns

According to the theory of neurodynamics, the high dimension neuron model based on ionic conductance can be reduced to the low dimension models such as the minimal model[23]. The minimal model usually includes one amplifying and one resonant (recovery) gating variable (plus an Ohmic leak current)[23], and it has following characters: It has a limit cycle attractor, at least for some values of parameters, and can generate tonic firing; If one removes any current or gating variable, the minimal model has only equilibrium attractors for any values of parameters, and can’t generate firing[21-26]. It must be noted that the dynamic characteristics of the reduced models(including the minimal model) can’t globally express the characteristics of the primary model,

d [ Ca 2 + ] i dt

- υ g Ca r 2( V - V Ca ) - [ Ca 2 + ] i ;

Ca

but it is very convenient to analyze the specific dynamic characteristics of the neuron model.

The one-compartment model of CA1 pyramid neuron developed by David is a nine-dimension complex dynamic model. According to the model’s reduction methods based on neurodynamics, the nine-dimension complex model can be reduced to the low dimension model by the dimension reduction, and several following minimal models which can generate regular firing are gotten.

  • A.    I Na + I d -Minimal Model

The minimal model consists of the transient Na+ current( INa ), the delay rectification K+ current( IKdr ), and the leakage current( IL ). The descriptive differential equation is as follows, dV

CdV = - g L (V V l ) - g N a m ^ (V ) h (V - '/ ) dt

  • g Kdr n 4 V VK ) + I App

dh _ h (V ) - h dt "  T h (V )

dn _ n.W> n                                  (2)

dt      T n (V )

Where the values of parameters related to the model equation are showed in appendix A.

Under the current’s stimulation, the minimal model described by formula (2) can generate period discharge pattern, bursting pattern, the chaos discharge pattern, and so on. The minimal model’s discharge patterns and the phase plane portraits are showed in Figure 2, where the stimulation currernt is the direct current (the amplitude is 5nA) and the half wave sine current (the amplitude is 10nA and the period is 5ms). The model’s simulation time is 0~2000ms, and the graphing time interval is 1000~2000ms.

From Figure 2, the neuron generates period 1 discharge pattern under the direct current (the amplitude is 5nA); and the neuron generates period 2 discharge pattern under the half wave sine current (the amplitude is 10nA and the period is 5ms).

Figure 2. I nq + i Kdr -Minimal model’s discharge patterns and the phase plane portraits. (a) The changing chart of the membrane potential with time under stimulation of the direct current (the amplitude is 5nA). (b) The changing chart of the membrane potential with time under stimulation of the half wave sine current (the amplitude is 10nA and the period is 5ms). (c) The phase plane portrait under stimulation of the direct current (the amplitude is 5nA). (d) The phase plane portrait under stimulation of the half wave sine current (the amplitude is 10nA and the period is 5ms).

  • B.    INa + I M -Minimal Model

The minimal model consists of the transient Na+ current( INa ), the muscarine-sensitive K+ current ( IM ), and the leakage current( IL ). The descriptive differential equation is as follows,

„ dV

C^d _ -gL(V - Vl) - gN-m”(V)h(V - Vn«) - gMZ(V - Vk ) +1»„ dt dh _ hю (V) - h dt     Th(V)

dz _ z ( V ) - z                                          (3)

dt        T z

Where the values of parameters related to the model equation are showed in appendix A.

Under the current’s stimulation, the minimal model described by formula (3) can generate slow period discharge pattern, and so on. The minimal model’s discharge patterns and the phase plane portraits are showed in Figure 3, where the stimulation currernt is the direct current (the amplitude is 5nA) and the half wave sine current (the amplitude is 10nA and the period is 10ms). The model’s simulation time is 0~2000ms, and the graphing time interval is 1000~2000ms.

Figure 3. i Na + I m -Minimal model’s discharge patterns and the phase plane portraits. (a) The changing chart of the membrane potential with time under stimulation of the direct current (the amplitude is 5nA). (b) The changing chart of the membrane potential with time under stimulation of the half wave sine current (the amplitude is 10nA and the period is 10ms). (c) The phase plane portrait under stimulation of the direct current (the amplitude is 5nA). (d) The phase plane portrait under stimulation of the half wave sine current (the amplitude is 10nA and the period is 10ms).

From Figure 2, the neuron generates period 1 discharge pattern under the direct current (the amplitude is 5nA). The neuron also generates period 1 discharge pattern under the half wave sine current (the amplitude is 10nA and the period is 10ms); However, because frequency of the stimulation current is much higher than the intrinsic discharge frequency of the neuron model, the “spike” phenomenon(Figure 3 (b)) comes into being when the stimulation current is added to the intrinsic discharge pattern of the neuron model. In addition, I Na + I M -Minimal Model’s discharge frequency is much lower than INa + I M -Minimal Model’s discharge frequency, which is mainly caused by the intrinsic characteristics of the muscarine-sensitive K+ current ( IM ).

C.    -Minimal Model

Na Ca y

The minimal model consists of the transient Na+ current( INa ), the high-threshold Ca2+ current ( ICa ), the fast Ca2+-activated K+ current( IY ), and the leakage

d [ Ca __— = _yg 22(y_y )

.           UgCar ( V VCa )

dt

[ Ca 2+ ] ,

Ca

Where the values of parameters related to the model equation are showed in appendix A.

Figure 4. IM +1 +1 -Minimal model’s discharge patterns and Na Ca y the phase plane portraits. (a) The changing chart of the membrane potential with time under stimulation of the direct current (the amplitude is 5nA). (b) The changing chart of the membrane potential with time under stimulation of the half wave sine current (the amplitude is 10nA and the period is 50ms). (c) The phase plane portrait under stimulation of the direct current (the amplitude is 5nA). (d) The phase plane portrait under stimulation of the half wave sine current (the amplitude is 10nA and the period is 50ms).

Under the current’s stimulation, the minimal model described by formula (4) can generate period discharge pattern, bursting pattern, the chaos discharge pattern, and so on. The minimal model’s discharge patterns and the phase plane portraits are showed in Fig. 4, where the stimulation currernt is the direct current (the amplitude is 5nA) and the half wave sine current (the amplitude is 10nA and the period is 50ms). The model’s simulation time is 0~2000ms, and the graphing time interval is 1000~2000ms.

From Fig.4, the neuron generates period 1 discharge pattern under the direct current (the amplitude is 5nA); The neuron generates bursting discharge pattern under the half wave sine current (the amplitude is 10nA and the period is 50ms), and the firing number of each bursting is different.

current( IL ). The descriptive differential equation is as follows,

C dV = - g L (V - V l ) - g Na m 3 (V ) h (V - V Na ) g Ca K ^(V - V C, )

  • - g y d ([ Ca 2 + ] , ) y(V - V k ) + I app

dh = h „ (V) - h dt " Th (V)

dr _ r„ (V) - r dt       Tr dq = q „ ([ Ca2+ ],) - q dt          Tq

  • D.    INa + ICa + IsAHP -Minimal Model

The minimal model consists of the transient Na+ current( INa ), the high-threshold Ca2+ current ( ICa ), the slow Ca2+-activated K+ current( IsAHP ), and the leakage current( IL ). The descriptive differential equation is as follows,

CdV = - g L (V - VL ) - g Na m ^ ( V ) h(V - V Na ) - g Ca K 2 ( V - V Ca ) dt

- gsAHPq (V - VK ) + IApp dh _ h„ (V) - h dt      Th (V)

dr _ Г» (V) — r dt       Tr dq = q„([Ca2+ ])-q dt          Tq d [ Ca2+ ], dt

- gr W - VC a ) -

[ Ca 2+ ]

T Ca

Where the values of parameters related to the model equation are showed in appendix A.

Under the current’s stimulation, the minimal model described by formula (5) can generate slow period discharge pattern, and so on. The minimal model’s discharge patterns and the phase plane portraits are showed in Fig. 5, where the stimulation currernt is the direct current (the amplitude is 5nA) and the half wave sine current (the amplitude is 20nA and the period is 5ms). The model’s simulation time is 0~2000ms, and the graphing time interval is 1000~2000ms.

From Fig.5, the neuron generates period 1 discharge pattern under the direct current (the amplitude is 5nA). The neuron also generates period 1 discharge pattern under the half wave sine current (the amplitude is 20nA and the period is 5ms); However, because frequency of the stimulation current is much higher than the intrinsic discharge frequency of the neuron model, the “spike” phenomenon (Fig.5 (b)) comes into being when the stimulation current is added to the intrinsic discharge pattern of the neuron model. In addition, I N a + I M -

Minimal Model’s discharge frequency is much lower than discharge frequency of Minimal Models (described by formula (2) and (4)), which is mainly caused by the intrinsic characteristics of the slow Ca2+-activated K+ current( IsAHP ).

Figure 5. I^ + iCa + Isahp-Minimal model’s discharge patterns and the phase plane portraits. (a) The changing chart of the membrane potential with time under stimulation of the direct current (the amplitude is 5nA). (b) The changing chart of the membrane potential with time under stimulation of the half wave sine current (the amplitude is 20nA and the period is 5ms). (c) The phase plane portrait under stimulation of the direct current (the amplitude is 5nA). (d) The phase plane portrait under stimulation of the half wave sine current (the amplitude is 20nA and the period is 5ms).

  • VI. Conclusion

In the thesis, the currents related to the nine-dimension one-compartment complex model of CA1 pyramid neuron developed by David are analyzed and classified by the model’s reduction theory and methods based on neurodynamics, and four minimal models are gotten: -minimal model, -minimal model, Na Kdr                      , Na M                      ,

I Na + I Ca + I y -minimal model, and I Na + I Ca + IS AHP

-

minimal model. These minimal models have plenty of dynamic actions, and under the current’s stimulation, they can all generate regular discharge and have period discharge pattern, bursting pattern, the chaos discharge pattern, and so on.

Compared with the initial nine-dimension complex model, these minimal models’ dimension are much reduced, and are more convenient to numerical simulation, calculating, and analyzing. In addition, though these minimal models can’t globally express characteristics and functions of the primary nine-dimension complex model, they provide a simpler and flexible method to discuss the specific currents’ dynamic characteristics and functions of the initial nine-dimension complex model by the theory of neurodynamics.

Appendix A

Parameters’ values of the nine-dimension one-compartment complex model of CA1 pyramid neuron developed by David are as follow:

C = 1 uF I cm 2;

gL = 0.05 mS I cm 2 ;

VL =- 70 mV ;

gNa = 35 mS I cm 2 ;

gNaP is about 0~0.41mS/cm2;

gKdr = 6 mS cm 2;

gA = 1.4 mS I cm 2;

gM = 1 mS I cm 2;

V Na = 55 mV ;

V K =- 90 mV ;

is about 0~0.2mS/cm2;

gCa gy = 10 mS I cm2;

g sAHP = 5 mS I cm 2;

VCa = 120 mV ;

m » (V ) =       -30-И

1 + exp( 30 V )

9.5

Р - (V ) =

1 + exp(

9 p

V

)

47 mV 9 p <- 41 mV ;

a (V ) =

1 + exp(

50 - V

;

)

d ([ Ca 2+ ]) =

1 +

;

[ Ca 2 + L

h , (V ) =

1 + exp(

45 - V

;

)

T h (V ) = 0.1 + 0.75 X

1 + exp(

-

40.5 - V

;

-

)

n , ( V ) =

1 + exp(

-

35 - V

;

)

T n (V ) = 0.1 + 0.5 x

1 + exp(

-

27 - V

;

-

)

b ( V ) =

1 + exp(

-

80 - V

;

-

)

T b = 15 ms ;

^ ( V ) =

1 + exp(

-

39 - V

;

)

T z = 75 ms ;

r (V ) =

1 + exp(

-

20 - V

;

)

T r = 1 ms ;

У ( V ) =

1 + exp(

-

30 - V

;

)

T y = 2 ms ;

t = 450 ms ; q

и = 0.13 cm 2 /( ms x ц А ) ;

q ([ Ca 2 + D =

1 +

;

[ Ca2 + ] 4

Tn

Ca

= 13 ms ;

Acknowledgment

This work is supported by the basic research project of Engineering College of Armed Police Force. The project name is “Study on the Synchronization Mechanism of Uncoupled Neurons (No. WJY201015).

In addition, the authors would like to thank “The 2nd International Conference on Biomedical Engineering and Computer Science (ICBECS 2011)” for providing the chance and really appreciate the anonymous reviewers for the valuable comments on the paper.

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