Literature DB >> 16876873

Quantitative analysis of brain optical images with 2D C0 complexity measure.

Yang Cao1, Zhijie Cai, Enhua Shen, Wei Shen, Xin Chen, Fanji Gu, Tiande Shou.   

Abstract

Optical imaging based on intrinsic signals is a powerful method to visualize the activities of neural assembly in the cortex of animals in vivo, especially the detailed functional architecture of the visual cortex. Here, a new index, two-dimensional (2D) C0 complexity has been used to give a quantitative measure of the spatial pattern of the neural activity in orientation maps optically recorded from the visual cortex of cats globally. Results show that 2D C0 complexity could be employed to reveal the dynamic process of generating an orientation map in the visual cortex, and describe the variance of the neural responses in cortical area 17 under high and normal intraocular pressure. This suggests that 2D C0 could be used as a new quantitative measure for analyzing the intrinsic signal optical images.

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Year:  2006        PMID: 16876873     DOI: 10.1016/j.jneumeth.2006.06.023

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  2 in total

1.  Arousal increases the representational capacity of cortical tissue.

Authors:  Tomer Fekete; Itamar Pitowsky; Amiram Grinvald; David B Omer
Journal:  J Comput Neurosci       Date:  2009-03-27       Impact factor: 1.621

2.  Developing a new radiomics-based CT image marker to detect lymph node metastasis among cervical cancer patients.

Authors:  Xuxin Chen; Wei Liu; Theresa C Thai; Tara Castellano; Camille C Gunderson; Kathleen Moore; Robert S Mannel; Hong Liu; Bin Zheng; Yuchen Qiu
Journal:  Comput Methods Programs Biomed       Date:  2020-09-16       Impact factor: 5.428

  2 in total

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