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A chemogenetic toolbox with multimodal imaging and motion tracking for free marmoset behavior

https://repo.qst.go.jp/records/78217
https://repo.qst.go.jp/records/78217
dfd1e1cc-aa55-4ad7-ba44-5fc7641abe17
Item type 会議発表用資料 / Presentation(1)
公開日 2019-12-24
タイトル
タイトル A chemogenetic toolbox with multimodal imaging and motion tracking for free marmoset behavior
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_c94f
資源タイプ conference object
アクセス権
アクセス権 metadata only access
アクセス権URI http://purl.org/coar/access_right/c_14cb
著者 Mimura, Koki

× Mimura, Koki

WEKO 841173

Mimura, Koki

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松本, 惇平

× 松本, 惇平

WEKO 841174

松本, 惇平

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Sato, Chika

× Sato, Chika

WEKO 841175

Sato, Chika

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木村, 慧

× 木村, 慧

WEKO 841176

木村, 慧

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Hori, Yukiko

× Hori, Yukiko

WEKO 841177

Hori, Yukiko

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Nagai, Yuji

× Nagai, Yuji

WEKO 841178

Nagai, Yuji

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井上, 謙一

× 井上, 謙一

WEKO 841179

井上, 謙一

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Aoki, Ichio

× Aoki, Ichio

WEKO 841180

Aoki, Ichio

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西条, 寿夫

× 西条, 寿夫

WEKO 841181

西条, 寿夫

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Suhara, Tetsuya

× Suhara, Tetsuya

WEKO 841182

Suhara, Tetsuya

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高田, 昌彦

× 高田, 昌彦

WEKO 841183

高田, 昌彦

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Yahata, Noriaki

× Yahata, Noriaki

WEKO 841184

Yahata, Noriaki

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Minamimoto, Takafumi

× Minamimoto, Takafumi

WEKO 841185

Minamimoto, Takafumi

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Mimura, Koki

× Mimura, Koki

WEKO 841186

en Mimura, Koki

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Sato, Chika

× Sato, Chika

WEKO 841187

en Sato, Chika

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Hori, Yukiko

× Hori, Yukiko

WEKO 841188

en Hori, Yukiko

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Nagai, Yuji

× Nagai, Yuji

WEKO 841189

en Nagai, Yuji

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Aoki, Ichio

× Aoki, Ichio

WEKO 841190

en Aoki, Ichio

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Suhara, Tetsuya

× Suhara, Tetsuya

WEKO 841191

en Suhara, Tetsuya

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Yahata, Noriaki

× Yahata, Noriaki

WEKO 841192

en Yahata, Noriaki

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Minamimoto, Takafumi

× Minamimoto, Takafumi

WEKO 841193

en Minamimoto, Takafumi

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抄録
内容記述タイプ Abstract
内容記述 A chemogenetic technique, Designer Receptors Exclusively Activated by Designer Drugs (DREADDs), offers a valuable means to remotely control neural activity in living animals. This technique has great potential for investigating the link between neural activity and behavior in marmosets, although its application has yet to be established. Here, we report repetitive and minimal-invasive DREADD manipulation of the neural system in marmosets using a selective and highly potent DREADD agonist, deschloroclozapine (DCZ). We applied multimodal neuroimaging techniques to monitor DREADD expression and DREADD-induced activity change in vivo. To quantify DREADD-induced behavioral change, we also developed a marker-less motion tracking system (ml-MTS) consisting of four depth cameras with deep-learning algorithm. Two marmosets were injected with an adeno-associated viral vector expressing hM3Dq, an excitatory DREADD, into unilateral substantia nigra (SN). Several weeks after the injection, the marmosets underwent a positron emission tomography (PET) scan with [11C]DCZ, confirming in vivo hM3Dq expression at the injection site. Following a low-dose DCZ oral administration (10 µg/kg), the marmosets turned and eventually rotated in a contralateral direction to the injected side. This behavioral change was quantified by ml-MTS, illustrating that the contralateral rotation was significant 30-90 min after DCZ administration, but not in the following days without DCZ. PET imaging demonstrated that an intravenous injection of DCZ (3 µg/kg) decreased binding of [11C]raclopride, a dopaminergic receptor ligand, specifically at the ipsilateral striatum, a projection site of dopaminergic neurons in SN. Resting-state functional magnetic resonance imaging (rs-fMRI) further revealed that the DCZ administration significantly increased BOLD signal in the ipsilateral striatum, suggesting that enhancement of the nigro-striatal DA system may drive the rotation behavior. These results demonstrated that DREADD manipulation of neural activity can be applied to marmosets. Our set of methodologies should be beneficial for studying the link between neural activity and non-restricted behavior of marmosets in a variety of contexts including social interaction.
会議概要(会議名, 開催地, 会期, 主催者等)
内容記述タイプ Other
内容記述 Marmoset Bioscience Symposium 2019
発表年月日
日付 2019-10-17
日付タイプ Issued
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