Difference between revisions of "ICLM Journal Club"

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(This Week - 6 January 2017 (9:30 a.m., Gonda 2nd Floor Conference Room))
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Speaker: ''' Paul Mathews'''
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Speaker: '''Shan Huang'''
  
Title: '''Activation of Direct and Indirect Pathway Medium Spiny Neurons Drives Distinct Brain-wide Responses'''
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Title: '''Increased Dendritic Spine Turnover and Clustering in Retrosplenial Cortex Accompany Memory Enhancement'''
  
Paper: ''' http://www.cell.com/neuron/abstract/S0896-6273(16)30263-X '''
 
  
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Dendritic spines are the postsynaptic sites of excitatory synapses on pyramidal neurons. Structural plasticity mediated by addition and elimination of dendritic spines is thought to underlie the formation of long-term memory. Here, we performed two-photon in vivo imaging of dendritic spines in mouse retrosplenial cortex (RSC) before and after learning. We report that spine turnover prior to learning predicts future learning performance in contextual fear conditioning. Contextual learning leads to addition of new spines that are spatially clustered in RSC, and the amount of clustering correlates with learning performance. Accordingly, a genetic manipulation that augments contextual and spatial learning also causes enhancements in pre-learning spine turnover and learning-related clustering. Remarkably, dendritic segments with increased pre-learning spine turnover are more likely to gain clustered spines after learning, suggesting a spatial relationship between the two structural activities. One implication of these findings is that increased spine turnover allow neurons to more efficiently sample the synaptic space during learning in order to optimize information acquisition. Once acquired, spine clustering may stabilize this information, thus strengthening memory circuits.
  
A central theory of basal ganglia function is that striatal neurons expressing the D1 and D2 dopamine receptors exert opposing brain-wide influences. However, the causal influence of each population has never been measured at the whole-brain scale. Here, we selectively stimulated D1 or D2 receptor-expressing neurons while visualizing whole-brain activity with fMRI. Excitation of either inhibitory population evoked robust positive BOLD signals within striatum, while downstream regions exhibited significantly different and generally opposing responses consistent with—though not easily predicted from—contemporary models of basal ganglia function. Importantly, positive and negative signals within the striatum, thalamus, GPi, and STN were all associated with increases and decreases in single-unit activity, respectively. These findings provide direct evidence for the opposing influence of D1 and D2 receptor-expressing striatal neurons on brain-wide circuitry and extend the interpretability of fMRI studies by defining cell-type-specific contributions to the BOLD signal.
 
  
 
='''About Us'''=
 
='''About Us'''=

Revision as of 17:55, 24 January 2017

This Week - 6 January 2017 (9:30 a.m., Gonda 2nd Floor Conference Room)

Speaker: Shan Huang

Title: Increased Dendritic Spine Turnover and Clustering in Retrosplenial Cortex Accompany Memory Enhancement


Dendritic spines are the postsynaptic sites of excitatory synapses on pyramidal neurons. Structural plasticity mediated by addition and elimination of dendritic spines is thought to underlie the formation of long-term memory. Here, we performed two-photon in vivo imaging of dendritic spines in mouse retrosplenial cortex (RSC) before and after learning. We report that spine turnover prior to learning predicts future learning performance in contextual fear conditioning. Contextual learning leads to addition of new spines that are spatially clustered in RSC, and the amount of clustering correlates with learning performance. Accordingly, a genetic manipulation that augments contextual and spatial learning also causes enhancements in pre-learning spine turnover and learning-related clustering. Remarkably, dendritic segments with increased pre-learning spine turnover are more likely to gain clustered spines after learning, suggesting a spatial relationship between the two structural activities. One implication of these findings is that increased spine turnover allow neurons to more efficiently sample the synaptic space during learning in order to optimize information acquisition. Once acquired, spine clustering may stabilize this information, thus strengthening memory circuits.


About Us

Introduction

The Integrative Center for Learning and Memory (ICLM) is a multidisciplinary center of UCLA labs devoted to understanding the neural basis of learning and memory and its disorders. This will require a unified approach across different levels of analysis, including;

1. Elucidating the molecular cellular and systems mechanisms that allow neurons and synapses to undergo the long-term changes that ultimately correspond to 'neural memories'.

2. Understanding how functional dynamics and computations emerge from complex circuits of neurons, and how plasticity governs these processes.

3. Describing the neural systems in which different forms of learning and memory take place, and how these systems interact to ultimately generate behavior and cognition.

History of ICLM

The Integrative Center for Learning and Memory formally LMP started in its current form in 1998, and has served as a platform for many interactions and collaborations within UCLA. A key event organized by the group is the weekly ICLM Journal Club. For more than 10 years, graduate students, postdocs, principal investigators, and invited speakers have presented on topics ranging from the molecular mechanisms of synaptic plasticity, through computational models of learning, to behavior and cognition. Dean Buonomano oversees the ICLM journal club with help of student/post doctoral organizers. For other events organized by ICLM go to http://www.iclm.ucla.edu/Events.html.

Current Organizers:

Walt Babiec (O'Dell Lab) & Helen Motanis (Buonomano Lab)

Current Faculty Advisor:

Dean Buonomano


Past Organizers:

i) Anna Matynia(Aug 2004 - Jun 2008) (Silva Lab)

ii) Robert Brown (Aug 2008 - Jun 2009) (Balleine Lab)

iii) Balaji Jayaprakash (Aug 2008 - Nov 2011) (Silva Lab)

iv) Justin Shobe & Thomas Rogerson (Dec 2011 - June 2013) (Silva Lab)

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