Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The Cluster-Span Threshold (CST) is a recently introduced unbiased threshold for functional connectivity networks. This binarisation technique offers a natural trade-off of sparsity and density of information by balancing the ratio of closed to open triples in the network topology. Here  present findings comparing it with the Union of Shortest Paths (USP), another recently proposed objective method.  analyse standard network metrics of binarised networks for sensitivity to clinical Alzheimer's disease in the Beta band of Electroencephalogram activity.  find that the CST outperforms the USP, as ll as subjective thresholds based on fixing the network density, as a sensitive threshold for distinguishing differences in the functional connectivity beten Alzheimer's disease patients and control. This study provides the first evidence of the usefulness of the CST for clinical research purposes.
['Keith Smith', 'Daniel Abásolo', 'Javier Escudero']
I am writing a research paper on a idea A comparison of the cluster-span threshold and the union of shortest paths as objective thresholds of EEG functional connectivity networks from Beta activity in Alzheimer's disease
[{"from": "human", "value": "I am writing a research paper on a idea A comparison of the cluster-span threshold and the union of shortest paths as objective thresholds of EEG functional connectivity networks from Beta activity in Alzheimer's disease"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The Cluster-Span Threshold (CST) is a recently introduced unbiased threshold for functional connectivity networks. This binarisation technique offers a natural trade-off of sparsity and density of information by balancing the ratio of closed to open triples in the network topology. Here  present findings comparing it with the Union of Shortest Paths (USP), another recently proposed objective method.  analyse standard network metrics of binarised networks for sensitivity to clinical Alzheimer's disease in the Beta band of Electroencephalogram activity.  find that the CST outperforms the USP, as ll as subjective thresholds based on fixing the network density, as a sensitive threshold for distinguishing differences in the functional connectivity beten Alzheimer's disease patients and control. This study provides the first evidence of the usefulness of the CST for clinical research purposes."}]