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wholeBrain/wholeBrain_results-hemisphere_corr.txt

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2013-09-04 10:46:06 -04:00
## Cortical activity is mirrored between the hemispheres ##
* Inter hemispheric functional connectivity, importance for autism, schizophrenia. Maybe an activity-dependent mechanism for commisural connectivity.
* Activity correlated in anterior-posterior and medial-lateral directions
* Mirror symmetric and non-mirror symmetric patterns
* Regional effects, more corr anticorr in certain regions?
* State dependent corr?
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* sensory input required or stimulation experiments?
* Each hemisphere 'training' the other one in preparation for behaviorally relevant sensory-motor imitations '[[mirror_neurons]]' hypothesis? -->
![](../figures/Screen_Shot_2013-04-23_at_8.45.18_AM.png)
![](../figures/Screen_Shot_2013-04-23_at_8.46.27_AM.png)
![](../figures/Screen_Shot_2013-04-23_at_8.51.55_AM.png)
xy pearson corr coef ML | xy pearson corr coef AP
--- | ---
p = 1.1591e-28 | p = 7.0982e-07
![](../figures/Screen_Shot_2013-04-22_at_4.29.28_PM.png) | ![](../figures/Screen_Shot_2013-04-22_at_4.29.24_PM.png)
**Conclusions:** So the activity in both hemispheres at postnatal day 3 (P3) clearly exhibits significant spatial correlations in both in the medial-lateral and anterior-extent. This is consistent with and complementary to the fact that the active pixel fraction in each hemisphere exhibits a strong temporal correlation as I found earlier in this report [Temporal correlation of activity][]. The medial-lateral positional correlation is stronger than the anterior-posterior (higher *R* and lower *p* value). The total number of coactive frames is `numel(y1(~isnan(y1)&~isnan(y2)))` == **1114 frames**. This is accounts to **37.13%** of the movie or **222.8 s**. Cortex.L had 1635 actvFrames and cortex.R had 1677 actvFrames which means that each hemisphere was coactive with the other hemisphere 1114/1635 == **68.13%** and 1114/1677 == **66.43%** of the active time respectively.