Literature DB >> 27786180

Using model systems to understand errant plasticity mechanisms in psychiatric disorders.

Bruno B Averbeck1, Matthew V Chafee2,3.   

Abstract

In vivo model systems are a critical tool for gaining insight into the pathology underlying psychiatric disorders. Although modern functional imaging tools allow study of brain correlates of behavior in clinical groups and genome-wide association studies are beginning to uncover the complex genetic architecture of psychiatric disorders, there is less understanding of pathology at intervening levels of organization. Several psychiatric disorders derive from pathological neural plasticity, and studying the mechanisms that underlie these processes, including reinforcement learning and spike-timing-dependent plasticity, requires the use of animals. It will be particularly important to understand how individual differences in plasticity mechanisms at a cellular level confer resilience on some but lead to disease in others.

Entities:  

Year:  2016        PMID: 27786180      PMCID: PMC5529252          DOI: 10.1038/nn.4413

Source DB:  PubMed          Journal:  Nat Neurosci        ISSN: 1097-6256            Impact factor:   24.884


  142 in total

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Review 3.  Animal models of neuropsychiatric disorders.

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Journal:  Nat Neurosci       Date:  2010-09-27       Impact factor: 24.884

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Review 8.  From circuits to behaviour in the amygdala.

Authors:  Patricia H Janak; Kay M Tye
Journal:  Nature       Date:  2015-01-15       Impact factor: 49.962

Review 9.  Surgical treatment of Parkinson's disease.

Authors:  J A Obeso; M C Rodríguez; A Gorospe; J Guridi; L Alvarez; R Macias
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10.  Facilitation of conditioned fear extinction by systemic administration or intra-amygdala infusions of D-cycloserine as assessed with fear-potentiated startle in rats.

Authors:  David L Walker; Kerry J Ressler; Kwok-Tung Lu; Michael Davis
Journal:  J Neurosci       Date:  2002-03-15       Impact factor: 6.167

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  9 in total

1.  Focus on psychiatric disorders.

Authors: 
Journal:  Nat Neurosci       Date:  2016-10-26       Impact factor: 24.884

2.  Cross-species convergence in pupillary response: understanding human anxiety via non-human primate amygdala lesion.

Authors:  David Pagliaccio; Daniel S Pine; Ellen Leibenluft; Olga Dal Monte; Bruno B Averbeck; Vincent D Costa
Journal:  Soc Cogn Affect Neurosci       Date:  2019-08-07       Impact factor: 3.436

Review 3.  FMRP and CYFIP1 at the Synapse and Their Role in Psychiatric Vulnerability.

Authors:  Nicholas E Clifton; Kerrie L Thomas; Lawrence S Wilkinson; Jeremy Hall; Simon Trent
Journal:  Complex Psychiatry       Date:  2020-03-03

4.  Blocking NMDAR Disrupts Spike Timing and Decouples Monkey Prefrontal Circuits: Implications for Activity-Dependent Disconnection in Schizophrenia.

Authors:  Jennifer L Zick; Rachael K Blackman; David A Crowe; Bagrat Amirikian; Adele L DeNicola; Theoden I Netoff; Matthew V Chafee
Journal:  Neuron       Date:  2018-05-31       Impact factor: 17.173

5.  A Tradeoff in the Neural Code across Regions and Species.

Authors:  Raviv Pryluk; Yoav Kfir; Hagar Gelbard-Sagiv; Itzhak Fried; Rony Paz
Journal:  Cell       Date:  2019-01-17       Impact factor: 41.582

6.  Affective memory rehearsal with temporal sequences in amygdala neurons.

Authors:  Tamar Reitich-Stolero; Rony Paz
Journal:  Nat Neurosci       Date:  2019-11-25       Impact factor: 24.884

7.  Noncanonical, Dopamine-Dependent Long-Term Potentiation at Hippocampal Output Synapses in a Rodent Model of First-Episode Psychosis.

Authors:  Julia C Bartsch; Joachim Behr
Journal:  Front Mol Neurosci       Date:  2020-04-03       Impact factor: 5.639

8.  Fear extinction learning ability predicts neuropathic pain behaviors and amygdala activity in male rats.

Authors:  Guangchen Ji; Vadim Yakhnitsa; Takaki Kiritoshi; Peyton Presto; Volker Neugebauer
Journal:  Mol Pain       Date:  2018-09-13       Impact factor: 3.395

9.  Long time-scales in primate amygdala neurons support aversive learning.

Authors:  Aryeh H Taub; Yosef Shohat; Rony Paz
Journal:  Nat Commun       Date:  2018-10-26       Impact factor: 14.919

  9 in total

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