2018/02/14

2018/2/14 榎本

Amygdala inputs to prefrontal cortex guide behavior amid conflicting cues of reward and punishment

Burgos-Robles A, Kimchi EY, IzadmehrEM, PorzenheimMJ, Ramos-GuaspWA, NiehEH, Felix-Ortiz AC, NamburiP, LepplaCA, PresbreyKN, AnandalingamKK, Pagan-Rivera PA, AnahtarM, BeyelerA, TyeKM.
Nat Neurosci. 2017 Jun;20(6):824-835. doi: 10.1038/nn.4553.

報酬+嫌悪条件下において扁桃体BLAと内側前頭前野PL(前辺縁皮質)領域との相互神経連絡がもつ行動情報。砂糖水も貰えるけれどもフットショックもくるアンビバレントな課題。ラットで電気生理実験と相互相関解析、オプトジェネティクスやDREADDなんかも用いて、BLA→PL投射がショックを予告する刺激に対してフリージングを引き起こすに必要十分であることを示しています。機械学習で(いちおう)行動予測もできる。

PLはIL(下辺縁皮質)とも相互連絡があり、どちらも腹側海馬から入力を受けて扁桃体や側坐核に投射しています。かねてより恐怖学習・消去、薬物依存などのパラダイムで役割の違いなどについて調べられており、ここ数年でその神経回路メカニズムが明らかになりつつあります。PL・ILはヒトやサルにおける帯状皮質の一部ですので、そのへんの対応関係にも注意してまとめてみたいと思います。つづく。



参考文献

Prefrontal control of fear: more than just extinction.
Sotres-Bayon F, Quirk GJ.
Curr Opin Neurobiol. 2010 Apr;20(2):231-5. doi: 10.1016/j.conb.2010.02.005.

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Long-range connectivity defines behavioral specificity of amygdala neurons.
Senn V, Wolff SB, Herry C, Grenier F, Ehrlich I, Gründemann J, Fadok JP, Müller C, Letzkus JJ, Lüthi A.
Neuron. 2014 Jan 22;81(2):428-37. doi: 10.1016/j.neuron.2013.11.006.

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Functional Connectivity between Amygdala and Cingulate Cortex for Adaptive Aversive Learning
Oded Klavir, Rotem Genud-Gabai, Rony Paz
Neuron. 2013 Dec 4;80(5):1290-300. doi: 10.1016/j.neuron.2013.09.035.

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Selective inhibitory control of pyramidal neuron ensembles and cortical subnetworks by chandelier cells.
Lu J, Tucciarone J, Padilla-Coreano N, He M, Gordon JA, Huang ZJ.
Nat Neurosci. 2017 Oct;20(10):1377-1383. doi: 10.1038/nn.4624.

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Combined Social and Spatial Coding in a Descending Projection from the Prefrontal Cortex.
Murugan M, Jang HJ, Park M, Miller EM, Cox J, Taliaferro JP, Parker NF, Bhave V, Hur H, Liang Y, Nectow AR, Pillow JW, Witten IB.
Cell. 2017 Dec 14;171(7):1663-1677.e16. doi: 10.1016/j.cell.2017.11.002.

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2018/01/31

2018/1/31 木村

扁桃体の行動学習と記憶:神経回路と情報(1)

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Amygdala microcircuits controlling learned fear.

Sevil Duvarci, Denis Pare
Neuron. 2014 Jun 4;82(5):966-80. doi: 10.1016/j.neuron.2014.04.042.


Molecular Mechanisms of Fear Learning and Memory

Joshua P. Johansen, Christopher K. Cain, Linnaea E. Ostroff, Joseph E. LeDoux
Neuron. 2004 Sep 30;44(1):75-91.


Hebbian and neuromodulatory mechanisms interact to trigger associative memory formation

Joshua P. Johansen, Lorenzo Diaz-Mataix, Hiroki Hamanaka, Takaaki Ozawa, Edgar Ycu, Jenny Koivumaa, Ashwani Kumar, Mian Hou, Karl Deisseroth, Edward S. Boyden and Joseph E. LeDoux
Proc Natl Acad Sci U S A. 2014 Dec 23;111(51):E5584-92. doi: 10.1073/pnas.1421304111.


Modular organization of the brainstem noradrenaline system coordinates opposing learning states

Akira Uematsu, Bao Zhen Tan, Edgar A Ycu, Jessica Sulkes Cuevas, Jenny Koivumaa, Felix Junyent, Eric J Kremer, Ilana B Witten, Karl Deisseroth & Joshua P Johansen
Nat Neurosci. 2017 Nov;20(11):1602-1611. doi: 10.1038/nn.4642.


Cholinergic Signaling Controls Conditioned Fear Behaviors and Enhances Plasticity of Cortical-Amygdala Circuits

Li Jiang, Srikanya Kundu, James D. Lederman, Gretchen Y. López-Hernández, Elizabeth C. Ballinger, Shaohua Wang, David A. Talmage, Lorna W. Role
Neuron. 2016 Jun 1;90(5):1057-70. doi: 10.1016/j.neuron.2016.04.028.

2018/01/24

2016/1/24 榎本

Paraventricular Thalamus Balances Danger and Reward

Eun A. Choi and Gavan P. McNally
J Neurosci. 2017 Mar 15;37(11):3018-3029.

視床室傍核(PVT / Pa: Paraventricular nucleus of thalamus)と視床下部室傍核(PVN / PVH: Paraventricular hypothalamic nucleus)は別の神経核であることにご注意ください。略称統一してほしい……今回はPVTの話です。

PVTは脳幹や視床下部から入力をうけ、辺縁皮質(PL, IL)や島皮質と相互連絡、側坐核や扁桃体中心核(CeA)、分界条床核(BST)や前交連後肢間質核(IPAC)なんかに出力します。睡眠/覚醒や摂食制御、不安やムード、ストレスなどに関わる機能について調べられてきましたが、近年の計測制御技術興隆の恩恵をうけ、より精密な神経回路メカニズムが明らかになりつつあります。今回は報酬とフットショックがくる相克的な条件の課題を学習させたラットを用い、DREADDでPVTを可逆的に不活性化させてフリージング/報酬接近行動を観察することにより、一見矛盾するような結果を示しています。



参考文献

High field FMRI reveals thalamocortical integration of segregated cognitive and emotional processing in mediodorsal and intralaminar thalamic nuclei.
Metzger CD1, Eckert U, Steiner J, Sartorius A, Buchmann JE, Stadler J, Tempelmann C, Speck O, Bogerts B, Abler B, Walter M.
Front Neuroanat. 2010 Nov 1;4:138.

ヒトfMRIでPVTの活動を報告しているのは今のところこれだけ。セクシー画像で興奮するみたい。


Placing the paraventricular nucleus of the thalamus within the brain circuits that control behavior.
Kirouac GJ.
Neurosci Biobehav Rev. 2015 Sep;56:315-29.


A thalamic input to the nucleus accumbens mediates opiate dependence
Yingjie Zhu, Carl F. R. Wienecke, Gregory Nachtrab& Xiaoke Chen
Nature. 2016 Feb 11;530(7589):219-22.


A food-predictive cue attributed with incentive salience engages subcortical afferents and efferents of the paraventricular nucleus of the thalamus.
Haight JL, Fuller ZL, Fraser KM, Flagel SB.
Neuroscience. 2017 Jan 6;340:135-152.


Contributions of the paraventricular thalamic nucleus in the regulation of stress, motivation, and mood.
Hsu DT, Kirouac GJ, Zubieta JK, Bhatnagar S.
Front Behav Neurosci. 2014 Mar 11;8:73.

サルです。PaというのがPVT。

2018/01/17

2018/01/17 春野

Aversive Prediction Errorはどこにありどう学習に使われるのか?

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Dysregulation of aversive signaling pathways: a novel circuit endophenotype for pain and anxiety disorders.

Li-Feng Yeh, Mayumi Watanabe, Jessica Sulkes-Cuevas, Joshua P Johansen
Curr Opin Neurobiol. 2017 Sep 28;48:37-44.

abstract
Aversive experiences activate dedicated neural instructive pathways which trigger memory formation and change behavior. The strength of these aversive memories and the degree to which they alter behavior is proportional to the intensity of the aversive experience. Dysregulation of aversive learning circuits can lead to psychiatric pathology. Here we review recent findings elucidating aversive instructive signaling circuits for fear conditioning. We then examine how chronic pain as well as stress and anxiety disrupt these circuits and the implications this has for understanding and treating psychiatric disease. Together this review synthesizes current work on aversive instructive signaling circuits in health and disease and suggests a novel circuit based framework for understanding pain and anxiety syndromes.
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A temporal shift in the circuits mediating retrieval of fear memory.


Fabricio H. Do-Monte, Kelvin Quiñones-Laracuente & Gregory J. Quirk
Nature. 2015 Mar 26;519(7544):460-3.

abstract
Fear memories allow animals to avoid danger, thereby increasing their chances of survival. Fear memories can be retrieved long after learning, but little is known about how retrieval circuits change with time. Here we show that the dorsal midline thalamus of rats is required for the retrieval of auditory conditioned fear at late (24 hours, 7 days, 28 days), but not early (0.5 hours, 6 hours) time points after learning. Consistent with this, the paraventricular nucleus of the thalamus (PVT), a subregion of the dorsal midline thalamus, showed increased c-Fos expression only at late time points, indicating that the PVT is gradually recruited for fear retrieval. Accordingly, the conditioned tone responses of PVT neurons increased with time after training. The prelimbic (PL) prefrontal cortex, which is necessary for fear retrieval, sends dense projections to the PVT. Retrieval at late time points activated PL neurons projecting to the PVT, and optogenetic silencing of these projections impaired retrieval at late, but not early, time points. In contrast, silencing of PL inputs to the basolateral amygdala impaired retrieval at early, but not late, time points, indicating a time-dependent shift in retrieval circuits. Retrieval at late time points also activated PVT neurons projecting to the central nucleus of the amygdala, and silencing these projections at late, but not early, time points induced a persistent attenuation of fear. Thus, the PVT may act as a crucial thalamic node recruited into cortico-amygdalar networks for retrieval and maintenance of long-term fear memories.
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Placing prediction into the fear circuit.

Gavan P. McNally, Gavan P. McNally, Joshua P. Johansen, Hugh T. Blair
Trends Neurosci. 2011 Jun;34(6):283-92.

Abstract
Pavlovian fear conditioning depends on synaptic plasticity at amygdala neurons. Here, we review recent electrophysiological, molecular and behavioral evidence suggesting the existence of a distributed neural circuitry regulating amygdala synaptic plasticity during fear learning. This circuitry, which involves projections from the midbrain periaqueductal gray region, can be linked to prediction error and expectation modulation of fear learning, as described by associative and computational learning models. It controls whether, and how much, fear learning occurs by signaling aversive events when they are unexpected. Functional neuroimaging and clinical studies indicate that this prediction circuit is recruited in humans during fear learning and contributes to exposure-based treatments for clinical anxiety. This aversive prediction error circuit might represent a conserved mechanism for regulating fear learning in mammals.
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Neural substrates for expectation-modulated fear learning in the amygdala and periaqueductal gray.

Joshua P Johansen, Jason W Tarpley, Joseph E LeDoux & Hugh T Blair
Nat Neurosci. 2010 Aug;13(8):979-86. doi: 10.1038/nn.2594.

Abstract
A form of aversively motivated learning called fear conditioning occurs when a neutral conditioned stimulus is paired with an aversive unconditioned stimulus (UCS). UCS-evoked depolarization of amygdala neurons may instruct Hebbian plasticity that stores memories of the conditioned stimulus-unconditioned stimulus association, but the origin of UCS inputs to the amygdala is unknown. Theory and evidence suggest that instructive UCS inputs to the amygdala will be inhibited when the UCS is expected, but this has not been found during fear conditioning. We investigated neural pathways that relay information about the UCS to the amygdala by recording neurons in the amygdala and periaqueductal gray (PAG) of rats during fear conditioning. UCS-evoked responses in both amygdala and PAG were inhibited by expectation. Pharmacological inactivation of the PAG attenuated UCS-evoked responses in the amygdala and impaired acquisition of fear conditioning, indicating that PAG may be an important part of the pathway that relays instructive signals to the amygdala.
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A feedback neural circuit for calibrating aversive memory strength.

Takaaki Ozawa, Edgar A Ycu, Ashwani Kumar, Li-Feng Yeh, Touqeer Ahmed, Jenny Koivumaa & Joshua P Johansen
Nat Neurosci. 2017 Jan;20(1):90-97. doi: 10.1038/nn.4439.

Abstract
Aversive experiences powerfully regulate memory formation, and memory strength is proportional to the intensity of these experiences. Inhibition of the neural circuits that convey aversive signals when they are predicted by other sensory stimuli is hypothesized to set associative memory strength. However, the neural circuit mechanisms that produce this predictive inhibition to regulate memory formation are unknown. Here we show that predictive sensory cues recruit a descending feedback circuit from the central amygdala that activates a specific population of midbrain periaqueductal gray pain-modulatory neurons to control aversive memory strength. Optogenetic inhibition of this pathway disinhibited predicted aversive responses in lateral amygdala neurons, which store fear memories, resulting in the resetting of fear learning levels. These results reveal a control mechanism for calibrating learning signals to adaptively regulate the strength of behavioral learning. Dysregulation of this circuit could contribute to psychiatric disorders associated with heightened fear responsiveness.
恐怖記憶の強さを制御するフィードバック機構 : ライフサイエンス 新着論文レビュー
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Hypothalamic corticotropin-releasing factor is centrally involved in learning under moderate stress.

Morgan Lucas, Alon Chen & Gal Richter-Levin
Neuropsychopharmacology. 2013 Aug;38(9):1825-32. doi: 10.1038/npp.2013.82.

Abstract
The corticotropin-releasing factor (CRF) neuropeptide is found to have a pivotal role in the regulation of the behavioral and neuroendocrine responses to stressful challenges. Here, we studied the involvement of the hypothalamic CRF in learning under stressful conditions. We have used a site-specific viral approach to knockdown (KD) CRF expression in the paraventricular nucleus of the hypothalamus (PVN). The two-way shuttle avoidance (TWSA) task was chosen to assess learning and memory under stressful conditions. Control animals learned to shuttle from one side to the other to avoid electrical foot shock by responding to a tone. Novel object and social recognition tasks were used to assess memory under less stressful conditions. KD of PVN-CRF expression decreased the number of avoidance responses in a TWSA session under moderate (0.8 mA), but not strong (1.5 mA), stimulus intensity compared to control rats. On the other hand, KD of PVN-CRF had no effect on memory performance in the less stressful novel object or social recognition tasks. Interestingly, basal or stress-induced corticosterone levels in CRF KD rats were not significantly different from controls. Taken together, the data suggest that the observed impairment was not a result of alteration in HPA axis activity, but rather due to reduced PVN-CRF activity on other brain areas. We propose that hypothalamic CRF is centrally involved in learning under moderate stressful challenge. Under 'basal' (less stressful) conditions or when the intensity of the stress is more demanding, central CRF ceases to be the determinant factor, as was indicated by performances in the TWSA with higher stimulus intensity or in the less stressful tasks of object and social recognition.
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2017/12/27

2017/12/27 榎本

Bo Liらの仕事を中心に、いま現在の扁桃体……特に中心核(CeA)をとりまく嫌悪学習/可塑性に関わる神経回路の理解と、そこに至るまでの歴史をご紹介いたします。役者もいろいろ、論文も沢山ありますが、大事なところを見極めていきましょう。

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2017/12/13

2017/12/13 榎本

Optogenetic Inhibition Reveals Distinct Roles for Basolateral Amygdala Activity at Discrete Time Points during Risky Decision Making
Orsini CA, Hernandez CM, Singhal S, Kelly KB, Frazier CJ, Bizon JL, Setlow B
J Neurosci. 2017 Nov 29;37(48):11537-11548. doi: 10.1523/JNEUROSCI.2344-17.2017. Epub 2017 Oct 27

ラットにSmall & Safe rawardかLarge & Risky rewardかを選ばせる課題を用い、扁桃体BLAを光刺激で抑制したときに、光刺激のタイミングによって真逆の効果が見られることを報告しています。

Abstract

Decision making is a multifaceted process, consisting of several distinct phases that likely require different cognitive operations. Previous work showed that the basolateral amygdala (BLA) is a critical substrate for decision making involving risk of punishment; however, it is unclear how the BLA is recruited at different stages of the decision process. To this end, the current study used optogenetics to inhibit the BLA during specific task phases in a model of risky decision making (risky decision-making task) in which rats choose between a small, “safe” reward and a large reward accompanied by varying probabilities of footshock punishment. Male Long–Evans rats received intra-BLA microinjections of viral vectors carrying either halorhodopsin (eNpHR3.0-mCherry) or mCherry alone (control) followed by optic fiber implants and were trained in the risky decision-making task. Laser delivery during the task occurred during intertrial interval, deliberation, or reward outcome phases, the latter of which was further divided into the three possible outcomes (small, safe; large, unpunished; large, punished). Inhibition of the BLA selectively during the deliberation phase decreased choice of the large, risky outcome (decreased risky choice). In contrast, BLA inhibition selectively during delivery of the large, punished outcome increased risky choice. Inhibition had no effect during the other phases, nor did laser delivery affect performance in control rats. Collectively, these data indicate that the BLA can either inhibit or promote choice of risky options, depending on the phase of the decision process in which it is active.

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参考に、ここ数年の扁桃体関連論文リストです。

2015/11/11

2015/11/11 神代

Monkeys head-gaze following is fast, precise and not fully suppressible.

Proc Biol Sci. 2015 Oct 7;282(1816).

Abstract

Human eye-gaze is a powerful stimulus, drawing the observer's attention to places and objects of interest to someone else ('eye-gaze following'). The largely homogeneous eyes of monkeys, compromising the assessment of eye-gaze by conspecifics from larger distances, explain the absence of comparable eye-gaze following in these animals. Yet, monkeys are able to use peer head orientation to shift attention ('head-gaze following'). How similar are monkeys' head-gaze and human eye-gaze following? To address this question, we trained rhesus monkeys to make saccades to targets, either identified by the head-gaze of demonstrator monkeys or, alternatively, identified by learned associations between the demonstrators' facial identities and the targets (gaze versus identity following). In a variant of this task that occurred at random, the instruction to follow head-gaze or identity was replaced in the course of a trial by the new rule to detect a change of luminance of one of the saccade targets. Although this change-of-rule rendered the demonstrator portraits irrelevant, they nevertheless influenced performance, reflecting a precise redistribution of spatial attention. The specific features depended on whether the initial rule was head-gaze or identity following: head-gaze caused an insuppressible shift of attention to the target gazed at by the demonstrator, whereas identity matching prompted much later shifts of attention, however, only if the initial rule had been identity following. Furthermore, shifts of attention prompted by head-gaze were spatially precise. Automaticity and swiftness, spatial precision and limited executive control characterizing monkeys' head-gaze following are key features of human eye-gaze following. This similarity supports the notion that both may rely on the same conserved neural circuitry.