Data for Brain Reference
Architecture of YM24Amygdala
Neural Architecture for Amygdala Fear Conditioning

Yohei Maruyama, Tatsuya Miyamoto, Yoshimasa Tawatsuji, Hiroshi Yamakawa

Objective and Outline□Objective・To implement the functional expression of amygdala fear conditioning in thecircuitry, we construct a Function Realization Graph (FRG).

・In this data, we attempted to construct the FRG by using motifs.
□Outline
・The method used in this data paper differs from the SCID method.
・We construct the FRG from the bottom up by filling the BIF circuitry withmotifs.

Background of the Data (1/2)□Amygdala fear conditioning.
CS:harmless stimulus
US: harmful stimulus
・After pairing the CSand US, the CS alonecauses a fearresponse.
US(Joshua P. Johansen et al., 2011)

Background of the Data (2/2)□Amygdala fear conditioning circuitry.

La

CEm
BA_F

・The amygdala regions closely associatedwith fear conditioning include the lateral
nucleus (La), the basal nucleus (BA), thecentral nucleus (CEN), and theintercalated cell masses (INA) within theBLA.
・we focus on these regions to construct theBIF and FRG.

INA
BA_E(Adapted from Seungho Lee et al., 2013.)

-DataBIF and FRG

Overview of the Data and the Constructed BIF
・For this BIF, we have modeled 8 neural nuclei torepresent amygdala fear conditioning.

BIF・Modeled 14 connections between these neural nuclei.
・The BIF is constructed based on these neural nuclei andtheir connections.

Circuits(neural nuclei, 8)

Overview of the Data and the Constructed BIF
Connections (14)Overview of the Data and the Constructed FRG

FRG

・We constructed the FRG by
exhaustively applying the functionsof motifs to the neural nuclei andconnections in the BIF.

Overview of the Data and the Constructed FRG

-METHODData Creation Process

BIF Data and Collection Methods
harmful・La receives sensory information (CSand US) and facilitates Hebbianconditioning.

US(Duvarci, S., & Pare, D., 2014)

harmless

LaOutputCS(Amano, T. et al.,,2011 )CEm

・BA projects to the CEm, which isinvolved in inducing the fear response.

BA_F

Input

・LA projects to the BA.
BA contains BA_Fear (induces fear)and BA_Ext (extinction learning).

(Duvarci, S., & Pare, D., 2014)

INA
BA_E

Modulate

・INA and CA1 serve as modulatorsof the BA.
(Hagihara,K.M., et al, 2021, Duvarci, S., &Pare, D., 2014, Pitkänen, A. et al, 2000)

CA１

BIF Data and Collection Methods

・The BIF constructed with theTM24Amygdala project・Using this BIF, we construct theFRG.

Toward the construction of the FRG using Motif
BIF

Motifs・Construct FRG from bottom up
by filling BIF with motifs.

FRG

Motifs

・In this data paper, motifs are collected based on the references cited in the data papers.
・Here are some examples.
<Reference>□ Luo, L. (2021). Architectures of neuronal circuits.
□ Luo, L. (2020). Principles of neurobiology.
□ Braganza, O., & Beck, H. (2018). The circuit motif as a conceptual tool for multilevel neuroscience.
□ C. Alex Goddard et al., (2014). Spatially reciprocal inhibition of inhibition within a stimulus selection network in the avian midbrain.

Mechanism and Capability of Motif (example 1/3)
node: Z1, Z2, Z3,..
Input: X1, X2, X3,..
Output: Y1, Y2, Y3,..
black arrow: excitatory signal
blue arrow: inhibitory signal

Output amount is adjusted.

<M: Mechanism_Feedforward Inhibition>
Signals flow feedforward from X1 to the next two nodes. Then, one node inhibits the output ofthe other node.
<C: Capability_Input Normalization>
The amount of the final output is regulated, indicating that the capability is input normalization.

Mechanism and Capability of Motif (example 2/3)

node: Z1, Z2, Z3,..
Input: X1, X2, X3,..
Output: Y1, Y2, Y3,..
black arrow: exciatory signal
blue arrow: inhibitory signal
One output is dominant.

<M: Mechanism_Internal Mutual Inhibition>
The outputs within the motif have a mutual inhibitory relationship (from Z1 and Z2).
<C: Capability_Switching>
Only one output is strengthened, and it switches depending on the input, so the capability isdescribed as switching.

Mechanism and Capability of Motif (example 3/3)

node: Z1, Z2, Z3,..
Input: X1, X2, X3,..
Output: Y1, Y2, Y3,..
black arrow: exciatory signal
blue arrow: inhibitory signal<M: Mechanism_Feedforward Excitation>
The input from X1 flows straight downstream.
<C: Capability_Relay>
Since the signal is simply passed along, the capability is named "relay."Exhaustive fitting of Motifs to BIF for FRG construction

Exhaustive fitting of Motifs to BIF for FRG construction

Exhaustive fitting of Motifs to BIF for FRG construction

Constructed FRG

・By applying the motifs and building up their capabilities, the FRG is constructed as follows.
・This time, We described the process of constructing the FRG using motifs and the BIF.
Next time, I hope to talk about the significance and details of this FRG.

Dataset Description

Caveats for Data Usage
・This BRA data focuses on the fear conditioning circuitry of the amygdala.
・The BIF is constructed based on references within the BRA data.
・This data suggests hypothetical FRGs, so careful consideration should be taken when utilizing thedata
・The motifs utilized to construct the FRG were organized based on the references cited in this paper.