用于结构磁共振成像的UBNIN和改进型UBNIN算法的反思。对凯利等人的回复。二元神经成像连接性数据的脑状态表示比较。对“萨曼塔雷等人。使用结构磁共振成像确定帕金森病患者和健康个体的独特脑网络识别码。2023年，，1297”的评论。

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. 2023, , 1297".

作者信息

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

机构信息

Neural Engineering Lab, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, India.

Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru 560029, India.

出版信息

Brain Sci. 2024 Apr 25;14(5):424. doi: 10.3390/brainsci14050424.

DOI:10.3390/brainsci14050424

PMID:38790403

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11117835/

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) which is highly weighted on the node with the highest network degree (i.e., connections). The italicized sentences within inverted commas are statements from Kelly et al.'s comment paper.

摘要

本回复的目的是回应凯利等人对我们的原始论文《使用结构磁共振成像识别帕金森病患者和健康个体的独特脑网络识别码》所提出的意见。我们承认由于未使用符号数学工具箱（MATLAB），我们的原始论文中存在无意的舍入误差。我们现在提供健康个体和帕金森病患者的UBNIN值的实际范围（带小数值）以及进一步的观察结果。经过进一步反思，我们提出了另一种变体，称为修正UBNIN（UBNIN-M），它在网络度（即连接数）最高的节点上具有较高权重。引号内的斜体句子是凯利等人的评论论文中的陈述。