Resting-state functional connectivity reveals age-related difference in Valproate-induced rat autism model
Hsin-Yi Lai1, Hui-Ching Lin2,3, Hui-Yu Wang4, Jun-Cheng Weng5, Han-Fang Wu2, and You-Yin Chen4

1Interdisciplinary Institute of Neuroscience and Technology (ZIINT), Zhejiang University, Hangzhou City, China, People's Republic of, 2Department and Institute of Physiology, National Yang-Ming University, Taipei, Taiwan, 3Brain Research Center, National Yang Ming University, Taipei, Taiwan, 4Department of Biomedical Engineering, National Yang-Ming University, Taipei, Taiwan, 5Department of Medical Imaging and Radiological Sciences, Chung Shan Medical University, Taichung, Taiwan

Synopsis

This study demonstrates changes of functional connectivity in motor related brain areas and it is age-related different in Valproate-induced rat autism model. Our results indicate that the motor cortex and striatum may be crucial areas for treatment and evolution of ASD. rsfMRI has potential to explore functional connectivity in the brain and monitor functional plasticity changes in a specific neuroanatomical pathway in vivo.

INTRODUCTION

Autism spectrum disorder (ASD) is an immature neurodevelopmental disorder characterized by impaired emotional expression, social interaction, and repetitive and stereotyped behavior1. Valproic acid (VPA) is a well know antiepileptic drugs and thought to alter mood stability like modifying gamma-aminobutyric acid (GABA) levels2,3. Many studies indicated that VPA was associated with an increased risk of ASD4,5. The VPA-induced model of ASD has been established by implementing a single intraperitoneal injection of VPA to pregnant rats, whose offspring produce genetic and behavioral phenotype that is similar to clinical significance of ASD6. Previous study indicated that VPA-induced ASD rats don't influence neural growth or stunting in motor cortex, but rather change the pattern of dendritic development7. VPA has been demonstrated that it can inhibit connectivity in motor circuits in the primary motor (M1) → pre-motor cortex (PMd) and M1 → supplementary area motor (SMA)8. Moreover, a study also reported that the growth rate of striatal structures increase in ASD subjects and involved in repetitive behavior9. Therefore, our hypothesis is that M1 and caudate-putamen (CPu) may play a part in ASD physiopathology. In this study, we used resting-state functional MRI (rsfMRI) to evaluate the changes of age-related brain functional connectivity at cortico-cortical and cortico-striatal pathway in VPA-induced model of ASD.

METHODS

Adult female Sprage Dawley rats (weight 250-300 g) were housed in the animal facility under 12:12-h light/dark cycle (lights on at 7:00 am) with controlling temperature at 22 ± 2°C and then the rats were mated. The pregnant rats in VPA group were received a single intraperitoneal injection of VPA (0.5 g/Kg) at the pregnancy day of 12-1310 and the rats in control group were injected with saline. Offspring of two groups were evaluated by a standard behavioral social testing. The social testing included three chambered facility, including empty, central, and social, and how long the rats spent in each facility were calculated11. For fMRI experiments, rats were anesthetized with 0.1 mg/kg Dexdomitor® subcutaneously. MRI was performed on a Bruker Biospec 7T system with a 30-cm diameter bore and a single-shot GE-EPI sequence (TR/TE=2000/20 ms, BW=200 kHz, 80×80 matrix, FOV=25×25 mm2, thickness=1 mm, slice number = 10) was used to acquire rsfMRI images totaling 260 scanning images for 10 dummy scanning and 250 images. Functional connectivity were calculated by using Resting State fMRI Data Analysis Toolkit (REST) v1.7 with seed-based method within a 2 x 2 pixel region of interest (ROI) in left/right primary motor (M1_L/M1_R) and in left/right CPu (Str_L/Str_R). Pattern comparison of functional connectivity was computed by one sample t-test and alphasim correction and the variables of functional connectivity were assessed by Student’s t-test. The significant difference between groups was considered if p value < 0.05.

RESULTS & DISCUSSION

Functional connectivity showed that the magnitudes and regions of activation correlation significantly increased with weeks in bilateral M1, bilateral CPu and ipsilateral M1 to CPu in control group (Fig 1A). In the VPA group, there is no significant increase of activation correlation in bilateral M1 and CPu at 5th, 6th and 7th weeks while the activation correlation significantly increase in the bilateral M1 and bilateral CPu at 8th week (Fig 1B). However, the magnitudes and regions of activation correlation in ipsilateral M1 to CPu is no significant increase over time (Fig 1B). These results suggest that VPA-induced ASD rats have the most influence of functional connectivity in motor related brain areas before 7th week. Identically, the behavioral social testing showed that rats in the control group have longer social period than those in the VPA group at 5th week (Fig 2A), as well as there is no significant difference of social period between the control and VPA groups at 8th week (Fig 2B). Results of functional connectivity and behavioral social testing indicate that the interaction between the ipsilateral motor cortico-striatal pathway7,8, bilateral motor cortico-cortex and bilateral striatal-striatum may be crucial in ASD. The activations may be produced by several neuropathological mechanisms, therefore, mechanisms of ASD merit further investigation.

CONCLUSION

This study demonstrates changes of functional connectivity is age-related difference at motor cortex and striatum in VPA-induced ASD rats. These changes showed the activation correlation of ipsilateral motor cortico-striatal pathway, bilateral motor cortico-cortex, and bilateral striatal-striatum are lower in ASD rats before 7th week which suggests the connection between motor related brain areas could be a index to evaluate the progress of ASD. The further investigation of this study will develop the potential therapeutic approach for ASD based on improvement of functional connectivity in motor-related areas, such as deep brain stimulation.

Acknowledgements

This research is financially supported by the Ministry of Science and Technology of the Republic of China, Taiwan under Contract numbers of MOST 103-2320-B-010-014-MY2, 103-2321-B-010-016 and 102-2221-E-010-011-MY3 and the Zhenjiang University, China under the Fund number of 181110-193544B01/007.

References

1. Loucas, Tom. Autism spectrum disorder. Supporting Young Children with Communication Problems. 2015: 104.

2. Moeller, Jeremy J., Susan R. Rahey, and R. Mark Sadler. Lamotrigine–valproic acid combination therapy for medically refractory epilepsy. Epilepsia 50.3. 2009: 475-479.

3. Rogawski, Michael A., and Wolfgang Löscher. The neurobiology of antiepileptic drugs. Nature Reviews Neuroscience 5.7. 2004: 553-564.

4. Bromley, R. L., et al. Autism spectrum disorders following in utero exposure to antiepileptic drugs. Neurology 71.23. 2008: 1923-1924.

5. Williams, Gail, et al. Fetal valproate syndrome and autism: additional evidence of an association. Developmental Medicine & Child Neurology 43.03. 2001: 202-206.

6. Rinaldi, Tania, Gilad Silberberg, and Henry Markram. Hyperconnectivity of local neocortical microcircuitry induced by prenatal exposure to valproic acid. Cerebral Cortex 18.4. 2008: 763-770.

7. Snow, Wanda M., Kelly Hartle, and Tammy L. Ivanco. Altered morphology of motor cortex neurons in the VPA rat model of autism. Developmental psychobiology 50.7. 2008: 633-639.

8. Li, Xingbao, et al. Using interleaved transcranial magnetic stimulation/functional magnetic resonance imaging (fMRI) and dynamic causal modeling to understand the discrete circuit specific changes of medications: lamotrigine and valproic acid changes in motor or prefrontal effective connectivity. Psychiatry Research: Neuroimaging 194.2. 2011: 141-148.

9. Langen, Marieke, et al. Changes in the development of striatum are involved in repetitive behavior in autism. Biological psychiatry 76.5. 2014: 405-411.

10. Markram, Kamila, et al. Abnormal fear conditioning and amygdala processing in an animal model of autism. Neuropsychopharmacology 33.4. 2008: 901-912.

11. Nadler, J. J., et al. Automated apparatus for quantitation of social approach behaviors in mice. Genes, Brain and Behavior 3.5. 2004: 303-314.

12. Fombonne, Eric. The epidemiology of autism: a review. Psychological medicine 29.04. 1999: 769-786.

Figures

Fig 1. Pattern comparison of the functional connectivity in (A) control group and (B) VPA group at 5th, 6th, 7th, and 8th week.

Fig 2. Behavioral social testing in (A) control group and (B) VPA group at 5th and 8th week.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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