Differential innervation of GPi → LHb and LHA → LHb projection neurons

Rania Tzortzi
Meletis Lab

Meletis lab meeting
4th July 2016

rania@ki.se

Differential innervation of GPi → LHb and LHA → LHb projection neurons

Daniel Fürth
Meletis Lab

daniel.furth@ki.se

Content:

• Projection-specific tracing using rabies virus
• n = 3 in each group
• VGluT2-cre:
  • 0.7 μl AAV-TVA-V5-G
  • 1.5 μl rabies-ΔG-EGFP (3 weeks)

• GPi → LHb:
  • AP: -1.34 mm
  • ML: 1.75 mm
  • DV: -4.00 mm

• LHA → LHb:
  • AP: -1.00 mm
  • ML: 1.00 mm
  • DV: -4.50 mm

Differential innervation of GPi → LHb and LHA → LHb projection neurons

Daniel Fürth
Meletis Lab

daniel.furth@ki.se

Conclusions:

• Significant type of region (limbic vs. sensorimotor) times pathway (GPi-LHb vs.  LHA-LHb) interaction effect:

  • [F(1,8) = 21.24, P < .01]

• The interaction is driven by reduced input from sensorimotor to the LHA-LHb pathway compared to the GPi-LHb pathway

  • [P < .05]

Fit: aov(formula = log10.count ~ GPi.inj * limbic, data = data4)

               Df Sum Sq Mean Sq F value  Pr(>F)   
GPi.inj         1 0.0211  0.0211    0.20 0.66656   
limbic          1 2.2651  2.2651   21.50 0.00167 **
GPi.inj:limbic  1 2.2386  2.2386   21.24 0.00173 **
Residuals       8 0.8430  0.1054                   
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

  Tukey multiple comparisons of means
    95% family-wise confidence level

Fit: aov(formula = log10.count ~ GPi.inj * limbic, data = data4)

$GPi.inj
              diff        lwr       upr     p adj
GPi-LHA 0.08382212 -0.3483674 0.5160116 0.6665601

$limbic
                         diff       lwr      upr     p adj
Limbic-Sensorimotor 0.8689223 0.4367328 1.301112 0.0016744

$`GPi.inj:limbic`
                                          diff         lwr        upr     p adj
GPi:Sensorimotor-LHA:Sensorimotor  0.947659617  0.09887367 1.79644557 0.0297026
LHA:Limbic-LHA:Sensorimotor        1.732759802  0.88397385 2.58154575 0.0008203
GPi:Limbic-LHA:Sensorimotor        0.952744428  0.10395848 1.80153038 0.0289255
LHA:Limbic-GPi:Sensorimotor        0.785100186 -0.06368576 1.63388614 0.0701754
GPi:Limbic-GPi:Sensorimotor        0.005084812 -0.84370114 0.85387076 0.9999972
GPi:Limbic-LHA:Limbic             -0.780015374 -1.62880132 0.06877058 0.0721037

> shapiro.test(data4$log10.count)

	Shapiro-Wilk normality test

data:  data4$log10.count
W = 0.96947, p-value = 0.9051

> shapiro.test(data4$cell.count)

	Shapiro-Wilk normality test

data:  data4$cell.count
W = 0.50817, p-value = 2.031e-05

> shapiro.test(data4$cell.count/data4$starter.pop)

	Shapiro-Wilk normality test

data:  data4$cell.count/data4$starter.pop
W = 0.72223, p-value = 0.001392

> bartlett.test(log10.count~interaction(GPi.inj, limbic), data=data4)

	Bartlett test of homogeneity of variances

data:  log10.count by interaction(GPi.inj, limbic)
Bartlett's K-squared = 2.0333, df = 3, p-value = 0.5655