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. 2023 Feb 27;37:103363. doi: 10.1016/j.nicl.2023.103363

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© 2023 The Authors

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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Fig. 6 — Sex effects on sFNC. A) Top panel: sFNC differences between pairs of groups for males (uncorrected p < 0.05). Bottom panel: sFNC differences between pairs of groups for males (corrected p < 0.05). B) Top panel: sFNC differences between pairs of groups for females (uncorrected p < 0.05). Bottom panel: sFNC differences between pairs of groups for females (corrected p < 0.05). The colorbar shows Cohen’s d effect size calculated using MATLAB toolbox (https://www.mathworks.com/matlabcentral/fileexchange/62957-computecohen_d-x1-x2-varargin.). SCN: subcortical network SCN, ADN: auditory network, SMN: sensory motor network, VSN: visual sensory network, CCN: cognitive control network, DMN: default mode network, and CBN: cerebellar network. LGR-AD: Low genetic risk of AD, MGR-AD: Moderate genetic risk of AD, HGR-AD: High genetic risk of AD. The chord graphs are generated using the NiChord toolbox in Python (https://github.com/paulcbogdan/NiChord).

Fig. 6 — Sex effects on sFNC. A) Top panel: sFNC differences between pairs of groups for males (uncorrected p < 0.05). Bottom panel: sFNC differences between pairs of groups for males (corrected p < 0.05). B) Top panel: sFNC differences between pairs of groups for females (uncorrected p < 0.05). Bottom panel: sFNC differences between pairs of groups for females (corrected p < 0.05). The colorbar shows Cohen’s d effect size calculated using MATLAB toolbox (https://www.mathworks.com/matlabcentral/fileexchange/62957-computecohen_d-x1-x2-varargin.). SCN: subcortical network SCN, ADN: auditory network, SMN: sensory motor network, VSN: visual sensory network, CCN: cognitive control network, DMN: default mode network, and CBN: cerebellar network. LGR-AD: Low genetic risk of AD, MGR-AD: Moderate genetic risk of AD, HGR-AD: High genetic risk of AD. The chord graphs are generated using the NiChord toolbox in Python (https://github.com/paulcbogdan/NiChord).