Introspection of UBNIN and Modified-UBNIN Algorithms for Structural MRI. Reply to Kelly et al. A Comparison of Brain-State Representations of Binary Neuroimaging Connectivity Data. Comment on "Samantaray et al. Unique Brain Network Identification Number for Parkinson's and Healthy Individuals Using Structural MRI.

Tanmayee Samantaray, Manish Anand, Jitender Saini, Cota Navin Gupta

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Article in Brain sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 authors.

Tanmayee SamantarayNeural Engineering Lab, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, India.ORCID 0000-0002-1912-544X

Manish AnandNeural Engineering Lab, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, India.ORCID 0009-0000-8269-5042

Jitender SainiDepartment of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru 560029, India.ORCID 0000-0002-5218-0264

Cota Navin GuptaNeural Engineering Lab, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, India.ORCID 0000-0001-7402-4038

Funding

Department of Science and Technology, Government of India NEWGEN-IEDCMinistry of Education (MoE), Government of India Doctoral Scholarship

6 · The paper itself

Abstract

The purpose of this reply is to address the comments given by Kelly et al. on our original paper "Unique Brain Network Identification Number for Parkinson's and Healthy Individuals using Structural MRI". We agree to the inadvertent rounding pitfall in our original paper due to the non-inclusion of symbolic math toolbox (MATLAB). We now provide the actual ranges (with decimal values) of the UBNIN values of healthy individuals and those with Parkinson's disease and further observations. Upon further introspection, we propose another variant, called Modified-UBNIN (UBNIN-M

Indexed as

Parkinson’s diseasestructural MRIUBNIN

Identifiers

PMID38790403

DOI10.3390/brainsci14050424

PMCPMC11117835

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