DOI QR코드

DOI QR Code

The Upper Ascending Reticular Activating System between Intralaminar Thalamic Nuclei and Cerebral Cortex in the Human Brain

  • Jang, Sungho (Department of Physical Medicine & Rehabilitation, College of Medicine, Yeungnam University) ;
  • Kwak, Soyoung (Department of Physical Medicine & Rehabilitation, College of Medicine, Yeungnam University)
  • Received : 2017.04.26
  • Accepted : 2017.06.07
  • Published : 2017.06.30

Abstract

Purpose: The ascending reticular activating system (ARAS) is responsible for regulation of consciousness. In this study, using diffusion tensor imaging (DTI), we attempted to reconstruct the thalamocortical projections between the intralaminar thalamic nuclei and the frontoparietal cortex in normal subjects. Methods: DTI data were acquired in 24 healthy subjects and eight kinds of thalamocortical projections were reconstructed: the seed region of interest (ROI) - the intralaminar thalamic nuclei and the eight target ROIs - the medial prefrontal cortex, dorsolateral prefrontal cortex, ventrolateral prefrontal cortex, orbitofrontal cortex, premotor cortex, primary motor cortex, primary somatosensory cortex, and posterior parietal cortex. Results: The eight thalamocortical projections were reconstructed in each hemisphere and the pathways were visualized: projections to the prefrontal cortex ascended through the anterior limb and genu of the internal capsule and anterior corona radiata. Projections to the premotor cortex passed through the genu and posterior limb of the internal capsule and middle corona radiata; in contrast, projections to the primary motor cortex, primary somatosensory cortex, and posterior parietal cortex ascended through the posterior limb of the internal capsule. No significant difference in fractional anisotropy, mean diffusivity, and fiber volume of all reconstructed thalamocortical projections was observed between the right and left hemispheres (p>0.05). Conclusion: We reconstructed the thalamocortical projections between the intralaminar thalamic nuclei and the frontoparietal cortex in normal subjects. We believe that our findings would be useful to clinicians involved in the care of patients with impaired consciousness and for researchers in studies of the ARAS.

Keywords

References

  1. Paus T. Functional anatomy of arousal and attention systems in the human brain. Prog Brain Res. 2000;126:65-77.
  2. Zeman A. Consciousness. Brain. 2001;124:1263-89. https://doi.org/10.1093/brain/124.7.1263
  3. Daube JR. Medical neurosciences: an approach to anatomy, pathology, and physiology by systems and levels. 2nd ed. Boston, Little, Brown and Co., 1986:450.
  4. Schiff ND. Central thalamic contributions to arousal regulation and neurological disorders of consciousness. Ann N Y Acad Sci. 2008; 1129:105-18. https://doi.org/10.1196/annals.1417.029
  5. Afifi AK, Bergman RA. Functional neuroanatomy : text and atlas. 2nd ed. New York, Lange Medical Books/McGraw-Hill, 2005:494.
  6. Gosseries O, Bruno MA, Chatelle C et al. Disorders of consciousness: what's in a name? NeuroRehabilitation. 2011;28(1):3-14.
  7. Pisa FE, Biasutti E, Drigo D et al. The prevalence of vegetative and minimally conscious states: a systematic review and methodological appraisal. J Head Trauma Rehabil. 2014;29(4):E23-30. https://doi.org/10.1097/HTR.0b013e3182a4469f
  8. Edlow BL, Takahashi E, Wu O et al. Neuroanatomic connectivity of the human ascending arousal system critical to consciousness and its disorders. J Neuropathol Exp Neurol. 2012;71(6):531-46. https://doi.org/10.1097/NEN.0b013e3182588293
  9. Edlow BL, Haynes RL, Takahashi E et al. Disconnection of the ascending arousal system in traumatic coma. J Neuropathol Exp Neurol. 2013; 72(6):505-23. https://doi.org/10.1097/NEN.0b013e3182945bf6
  10. Yeo SS, Chang PH, Jang SH. The ascending reticular activating system from pontine reticular formation to the thalamus in the human brain. Front Hum Neurosci. 2013;7:416.
  11. Voss HU, Uluc AM, Dyke JP et al. Possible axonal regrowth in late recovery from the minimally conscious state. J Clin Invest. 2006;116(7): 2005-11. https://doi.org/10.1172/JCI27021
  12. Perlbarg V, Puybasset L, Tollard E et al. Relation between brain lesion location and clinical outcome in patients with severe traumatic brain injury: a diffusion tensor imaging study using voxel-based approaches. Hum Brain Mapp. 2009;30(12):3924-33. https://doi.org/10.1002/hbm.20817
  13. Tollard E, Galanaud D, Perlbarg V et al. Experience of diffusion tensor imaging and 1H spectroscopy for outcome prediction in severe traumatic brain injury: preliminary results. Crit Care Med. 2009;37(4):1448-55. https://doi.org/10.1097/CCM.0b013e31819cf050
  14. Tshibanda L, Vanhaudenhuyse A, Galanaud D et al. Magnetic resonance spectroscopy and diffusion tensor imaging in coma survivors: promises and pitfalls. Prog Brain Res. 2009;177:215-29.
  15. Fernandez-Espejo D, Junque C, Cruse D et al. Combination of diffusion tensor and functional magnetic resonance imaging during recovery from the vegetative state. BMC Neurol. 2010;10:77. https://doi.org/10.1186/1471-2377-10-77
  16. Newcombe VF, Williams GB, Scoffings D et al. Aetiological differences in neuroanatomy of the vegetative state: insights from diffusion tensor imaging and functional implications. J Neurol Neurosurg Psychiatry. 2010;81(5):552-61. https://doi.org/10.1136/jnnp.2009.196246
  17. Fernandez-Espejo D, Bekinschtein T, Monti MM et al. Diffusion weighted imaging distinguishes the vegetative state from the minimally conscious state. NeuroImage. 2011;54(1):103-12. https://doi.org/10.1016/j.neuroimage.2010.08.035
  18. Luyt CE, Galanaud D, Perlbarg V et al. Diffusion tensor imaging to predict long-term outcome after cardiac arrest: a bicentric pilot study. Anesthesiology. 2012;117(6):1311-21. https://doi.org/10.1097/ALN.0b013e318275148c
  19. Smith SM, Jenkinson M, Woolrich MW et al. Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage. 2004;23(Suppl 1):S208-19. https://doi.org/10.1016/j.neuroimage.2004.07.051
  20. Morel A, Magnin M, Jeanmonod D. Multiarchitectonic and stereotactic atlas of the human thalamus. J Comp Neurol. 1997;387(4):588-630. https://doi.org/10.1002/(SICI)1096-9861(19971103)387:4<588::AID-CNE8>3.0.CO;2-Z
  21. Morel A. Stereotactic atlas of the human thalamus and basal ganglia. New York, Informa Healthcare, 2007:149.
  22. Johansen-Berg H, Behrens TE, Sillery E et al. Functional-anatomical validation and individual variation of diffusion tractography-based segmentation of the human thalamus. Cereb Cortex. 2005;15(1):31-9. https://doi.org/10.1093/cercor/bhh105
  23. Klein JC, Rushworth MF, Behrens TE et al. Topography of connections between human prefrontal cortex and mediodorsal thalamus studied with diffusion tractography. NeuroImage. 2010;51(2):555-64. https://doi.org/10.1016/j.neuroimage.2010.02.062
  24. Kringelbach ML. The human orbitofrontal cortex: linking reward to hedonic experience. Nat Rev Neurosci. 2005;6(9):691-702. https://doi.org/10.1038/nrn1747
  25. Brodmann K, Gary LJ. Brodmann's localization in the cerebral cortex: the principles of comparative localisation in the cerebral cortex based on cytoarchitectonics. New York, Springer, 2006:298.
  26. Schiff ND. Recovery of consciousness after brain injury: a mesocircuit hypothesis. Trends Neurosci. 2010;33(1):1-9. https://doi.org/10.1016/j.tins.2009.11.002
  27. Lee SK, Kim DI, Kim J et al. Diffusion-tensor MR imaging and fiber tractography: a new method of describing aberrant fiber connections in developmental CNS anomalies. Radiographics. 2005;25(1):53-65. https://doi.org/10.1148/rg.251045085
  28. Parker GJ, Alexander DC. Probabilistic anatomical connectivity derived from the microscopic persistent angular structure of cerebral tissue. Philos Trans R Soc Lond B Biol Sci. 2005;360(1457):893-902. https://doi.org/10.1098/rstb.2005.1639
  29. Yamada K, Sakai K, Akazawa K et al. MR tractography: a review of its clinical applications. Magn Reson Med Sci. 2009;8(4):165-74. https://doi.org/10.2463/mrms.8.165

Cited by

  1. Neuroimaging characterization of recovery of impaired consciousness in patients with disorders of consciousness vol.14, pp.7, 2019, https://doi.org/10.4103/1673-5374.251299
  2. Brain Oscillatory Activity during Tactile Stimulation Correlates with Cortical Thickness of Intact Areas and Predicts Outcome in Post-Traumatic Comatose Patients vol.10, pp.10, 2020, https://doi.org/10.3390/brainsci10100720
  3. Awake state-specific suppression of primary somatosensory evoked response correlated with duration of temporal lobe epilepsy vol.10, pp.1, 2017, https://doi.org/10.1038/s41598-020-73051-x
  4. Difference in the ascending reticular activating system between vegetative and minimally conscious states following traumatic brain injury vol.32, pp.18, 2021, https://doi.org/10.1097/wnr.0000000000001747