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File S1 - Connectotyping: Model Based Fingerprinting of the Functional Connectome

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Figshare2015-12-02 更新2026-04-29 收录
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This file includes 8 supplementary figures and 2 supplementary tables. Figure S1, Solutions' and residuals' normalized norm. Figure S2, Modeling results across all parcellations. Figure S3, Predicting subjects in group H27 (a and b) and group H5(c) using “fresh” data. Figure S4, Pinv method, classification power quantified by an ROC curve, group H5. Figure S5, Predictions in the group of 5 human subjects (group H5) based on consistent or unique connection weights across the populations. Figure S6, Predictions in the group of 27 human subjects (group H27) using pinv, based on consistent or unique connection weights across the populations. Figure S7, Predictions in the group of 27 human subjects (group H27) based on consistent or unique connection weights across the populations. Figure S8, Individual resting state networks captured by the method on the Markov atlas. Table S1, Group H27: gender, age, cigarettes, caffeine, alcohol and sleepiness. Table S2, Group H5: gender, age, cigarettes, caffeine, alcohol and sleepiness. (DOCX)
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2015-12-02
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