Image_1_Test-retest reliability of modular-relevant analysis in brain functional network.PDF by Xuyun Wen (414454)

“…Considering the repeatability of network partition depends heavily on network size and module detection algorithm, we constructed three types of brain functional networks for each subject by using a set of coarse-to-fine brain atlases and adopted four methods for single-subject module detection and twelve methods for group-level module detection.…”

Hierarchical decomposition of covariance in gene expression space brain is mirrored by a matching decomposition in brain space. by Stan Kerstjens (13410092)

Data_Sheet_1_Abnormal Brain Functional Network Dynamics in Acute CO Poisoning.docx by Hongyi Zheng (816158)

“…</p><p>Methods: Combining the sliding window method and k-means algorithm, we identified four recurrent dynamic functional cognitive impairment states from resting-state functional magnetic resonance imaging data from 29 patients in the acute phase of carbon monoxide poisoning and 29 healthy controls. …”

Explained variance as a function of number of inner dimensions, <i>Q</i>. by Kai J. Miller (8846117)

Table_1_Quantification and Selection of Ictogenic Zones in Epilepsy Surgery.DOCX by Petroula Laiou (7446842)

“…<p>Network models of brain dynamics provide valuable insight into the healthy functioning of the brain and how this breaks down in disease. …”

A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... by Hector Torres (11708207)

Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. by Gursimran Singh (575288)

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Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

Fig 1 - by Anant Shinde (3954662)

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The top 2 ROI pairs contributing towards the classification of multi-electrode stimulation. by Anant Shinde (3954662)

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VAS tolerability scores (min = 0, max = 10) of all sessions of all participants. by Anant Shinde (3954662)

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Fig 6 - by Anant Shinde (3954662)

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Accuracy across different ROIs for the classification shown by various models. by Anant Shinde (3954662)

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Data preprocessing flow-chart. by Anant Shinde (3954662)

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Time taken for data processing up to prediction, varying the number of ROIs used. by Anant Shinde (3954662)

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Accuracy of models to classify different stimulations. by Anant Shinde (3954662)

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ROC and MCC across different ROIs for the classification shown by various models. by Anant Shinde (3954662)

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Fig 2 - by Anant Shinde (3954662)

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Fig 5 - by Anant Shinde (3954662)

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Data_Sheet_1_Application of Machine Learning and Weighted Gene Co-expression Network Algorithm to Explore the Hub Genes in the Aging Brain.DOCX by Keping Chai (11574214)