Literature DB >> 30696590

Subcortical visual pathway may be a new way for early diagnosis of glaucoma.

Yi Sun1, Wenbin Huang2, Fei Li2, Hao Li2, Liping Wang3, Yan Huang4, Xiulan Zhang5.   

Abstract

Glaucoma is the leading cause of irreversible blindness worldwide, which is now viewed as a disease of brain with pathogenesis not fully understood. The main diagnostic methods are examining the retinal nerve fiber layer through optical coherence tomography and investigating visual field defect, but these methods present disadvantages in clinical practice. Studies have shown that patients with glaucoma often suffer negative emotion like anxiety and depression which is related to abnormal or reduced amygdala. Moreover, selective reduction of fMRI responses to transient achromatic stimuli in the superficial layer of the superior colliculus was found in the early glaucoma patients. By summarizing previous studies, we developed a hypothesis: superior colliculus-pulvinar-amygdala subcortical visual pathway may be involved in the incidence or progression of glaucoma. Validating this hypothesis would further clarify the mechanism of glaucoma and lead to the development of a more sensitive method for making an early diagnosis of glaucoma.
Copyright © 2018 Elsevier Ltd. All rights reserved.

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Year:  2018        PMID: 30696590     DOI: 10.1016/j.mehy.2018.12.020

Source DB:  PubMed          Journal:  Med Hypotheses        ISSN: 0306-9877            Impact factor:   1.538


  3 in total

Review 1.  Does Retinal Ganglion Cell Loss Precede Visual Field Loss in Glaucoma?

Authors:  Donald C Hood
Journal:  J Glaucoma       Date:  2019-11       Impact factor: 2.503

Review 2.  Application of advanced magnetic resonance imaging in glaucoma: a narrative review.

Authors:  Longdan Kang; Chao Wan
Journal:  Quant Imaging Med Surg       Date:  2022-03

3.  Altered white matter integrity in patients with monocular blindness: A diffusion tensor imaging and tract-based spatial statistics study.

Authors:  Yu-Xin Liu; Biao Li; Kang-Rui Wu; Li-Ying Tang; Qi Lin; Qing-Hai Li; Qing Yuan; Wen-Qing Shi; Rong-Bin Liang; Qian-Min Ge; Yi Shao
Journal:  Brain Behav       Date:  2020-06-17       Impact factor: 2.708

  3 in total

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