2022
DOI: 10.1016/j.neuroimage.2022.119367
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Functional connectomes become more longitudinally self-stable, but not more distinct from others, across early childhood

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Cited by 8 publications
(7 citation statements)
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“…We investigated functional connectome-based ID in mice using simultaneously acquired WF-Ca 2+ and BOLD-fMRI data. In-line with previous work in mice 29 and humans [5][6][7][8][9][10][11][12][13][14][15][16] , animals were identifiable using BOLD-fMRI data. Building on this foundation and affirming the likely cellular-basis of these findings, animals were also identifiable using WF-Ca 2+ imaging data.…”
Section: Discussionmentioning
confidence: 78%
See 1 more Smart Citation
“…We investigated functional connectome-based ID in mice using simultaneously acquired WF-Ca 2+ and BOLD-fMRI data. In-line with previous work in mice 29 and humans [5][6][7][8][9][10][11][12][13][14][15][16] , animals were identifiable using BOLD-fMRI data. Building on this foundation and affirming the likely cellular-basis of these findings, animals were also identifiable using WF-Ca 2+ imaging data.…”
Section: Discussionmentioning
confidence: 78%
“…High rates of correct identification (ID) are typical in human populations (e.g., 88% in Fig. 1) [5][6][7][8][9][10][11][12][13][14][15][16][17] .…”
Section: Introductionmentioning
confidence: 99%
“…Namely, individual variation was low in primary sensory and motor, as well as some default mode network areas, and high in lateral (pre)frontal areas and mid temporal areas. Whereas sensorimotor networks develop early in life and are therefore more strongly guided by genetic determination (but also see Graff et al, 2022), association networks continue to develop long after birth and may therefore be more impacted by environmental factors, leading to greater inter-individual variation (Mueller et al, 2013). These findings indicate a degree of stability in the distribution and magnitude of shared and individual variation in FC regardless of mental health and treatment status.…”
Section: Discussionmentioning
confidence: 99%
“…Using connectome-based ID, it has been shown the connectome tends to be individually stable across short time scales (minutes) (Miranda-Dominguez et al 2014; Finn et al 2015; Kaufmann et al 2017; Vanderwal et al 2017; Waller et al 2017; Amico and Goni 2018) and longer time scales (months to years) (Miranda-Dominguez et al 2018; Horien et al 2019; Demeter et al 2020; Jalbrzikowski et al 2020; Ousdal et al 2020; Graff et al 2022; Graff et al 2022). Further, individual resting-state networks have tended to exhibit high stability (Finn et al 2015).…”
Section: Discussionmentioning
confidence: 99%
“…In line with other dimensional work in neurodiverse populations (Lake et al 2019; Rohr et al 2020; Xiao et al 2021), we observe the brain correlates identified by the model are complex and distributed across broad swaths of cortical, subcortical, and cerebellar regions. Using connectome-based identification (ID) (Finn et al 2015; Kaufmann et al 2017; Vanderwal et al 2017; Waller et al 2017; Amico and Goni 2018; Graff et al 2022; Graff et al 2022), we perform exploratory analyses testing the longitudinal stability of the network model in individual participants. In sum, our data suggest robust network markers of attention can be generated in neurodiverse youth and add to the growing literature suggesting the power of dimensional approaches in modelling brain-behavior relationships.…”
Section: Introductionmentioning
confidence: 99%