Connectivity pattern of action potentials causal network in prefrontal cortex during anxiety_Journal of Biomedical Engineering

Authors：

BAO Xuehui , DONG Haoran , LIU Tiaotiao ,  ZHENG Xuyuan

School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin 300070, P.R.China;

Corresponding?author：

ZHENG Xuyuan, Email: zhengxuyuan@tmu.edu.cn

Keywords：

anxiety; medial prefrontal cortex; action potential causal network; connectivity strength; global efficiency

DOI：

10.7507/1001-5515.201907011

Video：

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Anxiety disorder is a common emotional handicap, which seriously affects the normal life of patients and endangers their physical and mental health. The prefrontal cortex is a key brain region which is responsible for anxiety. Action potential and behavioral data of rats in the elevated plus maze (EPM) during anxiety (an innate anxiety paradigm) can be obtained simultaneously by using the in vivo and in conscious animal multi-channel microelectrode array recording technique. Based on maximum likelihood estimation (MLE), the action potential causal network was established, network connectivity strength and global efficiency were calculated, and action potential causal network connectivity pattern of the medial prefrontal cortex was quantitatively characterized. We found that the entries (44.13±6.99) and residence period (439.76±50.43) s of rats in the closed arm of the elevated plus maze were obviously higher than those in the open arm [16.50±3.25, P<0.001; (160.23±48.22) s, P<0.001], respectively. The action potential causal network connectivity strength (0.017 3±0.003 6) and the global efficiency (0.044 2±0.012 8) in the closed arm were both higher than those in the open arm (0.010 4±0.003 2, P<0.01; 0.034 8±0.011 4, P<0.001), respectively. The results suggest that the changes of action potential causal network in the medial prefrontal cortex are related to anxiety state. These data could provide support for the study of the brain network mechanism in prefrontal cortex during anxiety.

Citation： BAO Xuehui, DONG Haoran, LIU Tiaotiao, ZHENG Xuyuan. Connectivity pattern of action potentials causal network in prefrontal cortex during anxiety. Journal of Biomedical Engineering, 2020, 37(3): 389-398. doi: 10.7507/1001-5515.201907011 Copy

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27.	Ranjbar H, Radahmadi M, Reisi P, et al. Effects of electrical lesion of basolateral amygdala nucleus on rat anxiety-like behavior under acute, sub-chronic, and chronic stresses. Clin Exp Pharmacol Physiol, 2017, 44(4): 470-479.

1. Carson R C, Butcher J N, Mineka S. Abnormal psychology and modern life. 11th ed. Boston: Allyn and Bacon, 2000.
2. Mittal V A, Walker E F. Diagnostic and statistical manual of mental disorders. Psychiat Res, 2011, 189(1): 158-159.
3. Thibaut F. Anxiety disorders: a review of current literature. Dialogues Clin Neurosci, 2017, 19(2): 87-88.
4. Burn C C, Deacon R M J, Mason G J. Marked for life? Effects of early cage-cleaning frequency, delivery batch, and identification tail-marking on rat anxiety profiles. Dev Psychobiol, 2008, 50(3): 266-277.
5. Pellow S, Chopin P, File S E, et al. Validation of open: closed arm entries in an elevated plus-maze as a measure of anxiety in the rat. J Neurosci Methods, 1985, 14(3): 149-167.
6. Hogg S. A review of the validity and variability of the elevated plus-maze as an animal model of anxiety. Pharmacol Biochem Behav, 1996, 54(1): 21-30.
7. Kraeuter A K, Guest P C, Sarnyai Z. The elevated plus maze test for measuring anxiety-like behavior in rodents: techniques and protocols. Methods Mol Biol, 2019, 1916: 69-74.
8. Heidbreder C A, Groenewegen H J. The medial prefrontal cortex in the rat: Evidence for a dorso-ventral distinction based upon functional and anatomical characteristics. Neurosci Biobehav Rev, 2003, 27(6): 555-579.
9. Calhoon G G, Tye K M. Resolving the neural circuits of anxiety. Nat Neurosci, 2015, 18(10): 1394-1404.
10. Adhikari A. Distributed circuits underlying anxiety. Front Behav Neurosci, 2014, 8: 112.
11. Stern C A J, Do Monte F H M, Gazarini L, et al. Activity in prelimbic cortex is required for adjusting the anxiety response level during the elevated plus-maze retest. Neuroscience, 2010, 170(1): 214-222.
12. Park J, Wood J, Bondi C, et al. Anxiety evokes hypofrontality and disrupts rule-relevant encoding by dorsomedial prefrontal cortex neurons. J Neurosci, 2016, 36(11): 3322-3335.
13. Haneef Z, Chiang S. Clinical correlates of graph theory findings in temporal lobe epilepsy. Seizure, 2014, 23(10): 809-818.
14. Bullmore E T, Bassett D S. Brain graphs: Graphical models of the human brain connectome. Annu Rev Clin Psychol, 2011, 7(7): 113-40.
15. Paxinos G, Watson C. The rat brain in stereotaxic coordinates: hard cover edition. Amsterdam; Boston; Oxford: Academic Press, 2006.
16. Quiroga R Q. Spike sorting. Current Biology, 2012, 22(2): R45-R46.
17. Rospars J P, Lánsky P, Duchamp A, et al. Relation between stimulus and response in frog receptor neurons in vivo. Eur J Neurosci, 2003, 18(5): 1135-1154.
18. Rey H G, Pedreira C, Quian Quiroga R. Past, present and future of spike sorting techniques. Brain Res Bull, 2015, 119(Pt B): 106-117.
19. Mi X, Tiaotiao L, Wenwen B, et al. Information transmission in HPC-PFC network for spatial working memory in rat. Behav Brain Res, 2019, 356: 170-178.
20. Kim S, Putrino D, Ghosh S, et al. A Granger causality measure for point process models of ensemble neural spiking activity. PLoS Comput Biol, 2011, 7(3): e1001110.
21. Liu Y, Yu C, Zhang X, et al. Impaired long distance functional connectivity and weighted network architecture in Alzheimer’s disease. Cerebral Cortex, 2014, 24(6): 1422-1435.
22. Wei J, Bai W, Liu T, et al. Functional connectivity changes during a working memory task in rat via NMF analysis. Front Behav Neurosci, 2015, 9: 2.
23. Adhikari A, Topiwala M A, Gordon J A. Single units in the medial prefrontal cortex with anxiety-related firing patterns are preferentially influenced by ventral hippocampal activity. Neuron, 2011, 71(5): 898-910.
24. Lu J, Dong H, Zheng X. Strengthened functional connectivity among LFPs in rat medial prefrontal cortex during anxiety. Behav Brain Res, 2018, 349: 130-136.
25. Padilla-Coreano N, Bolkan S, Pierce G, et al. Direct ventral hippocampal-prefrontal input is required for anxiety-related neural activity and behavior. Neuron, 2016, 89(4): 857-866.
26. Adhikari A, Gordon I J, Topiwala M A. Synchronized activity between the ventral hippocampus and the medial prefrontal cortex during anxiety. Neuron, 2010, 65(2): 257-269.
27. Ranjbar H, Radahmadi M, Reisi P, et al. Effects of electrical lesion of basolateral amygdala nucleus on rat anxiety-like behavior under acute, sub-chronic, and chronic stresses. Clin Exp Pharmacol Physiol, 2017, 44(4): 470-479.

Journal of Biomedical Engineering

Connectivity pattern of action potentials causal network in prefrontal cortex during anxiety

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