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oai:figshare.com:article/34026986 2026-09-29T17:40:08Z category_1 category_12 category_15 category_272 category_734 category_811 category_61 category_122 portal_5 item_type_1 month_year_09_2026

Effects of total brain volume on intrinsic timescale and its developmental patterns. Golia Shafiei (3191169) Joëlle Bagautdinova (25138348) Valerie J. Sydnor (25138351) Dani S. Bassett (13104131) Deanna M. Barch (6759263) Matthew Cieslak (3112521) Yong Fan (212624) Elizabeth Flook (25138354) Alexandre R. Franco (6564785) Gregory Kiar (785219) Audrey C. Luo (25138357) Michael P. Milham (8895014) Linden Parkes (6617396) Taylor Salo (5277443) Leah H. Somerville (5352008) Tien T. Tong (25138360) Russell T. Shinohara (9019436) Theodore D. Satterthwaite (11006319) Biophysics Cell Biology Neuroscience Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Developmental Biology Mental Health two independent cross spontaneous neural dynamics results reveal convergence commonly used measure hierarchical brain maturation independent developmental samples div >< p intrinsic timescale follow intrinsic timescale evolves intrinsic timescale displays highlighting intrinsic timescale human brain development sensorimotor cortex compared axis spanning sensorimotor adulthood </ p intrinsic timescale hierarchical pattern developmental patterns developmental findings association cortex n </ temporal window shorter timescales sectional datasets principled marker neuronal populations neurodevelopmental patterns major axes imaging modalities cortical organization axis ). association cortices (a) To ensure that findings were independent from changes in brain size during development, we directly examined the relationship between estimated Total Intracranial Volume (eTIV) and intrinsic timescale in the HCPD dataset and found a weak association between the two. Each data point in the scatter plot represents an individual participant. (b) To assess whether developmental patterns of intrinsic timescale were independent from changes in brain size, we repeated the age analysis (i.e., GAMs) while controlling for eTIV as a model covariate. The age effects (i.e., partial R2) were consistent with the original analysis. Each data point in the scatter plot represents a brain region from the Schaefer 400 atlas. rs denotes Spearman’s rank correlation coefficient. Linear regression lines are added for visualization purposes only. Data and code needed to regenerate this figure can be found at <a href="https://doi.org/10.5281/zenodo.22799416" target="_blank">https://doi.org/10.5281/zenodo.22799416</a>. (TIFF) 2026-09-29T18:01:47Z Image Figure 10.1371/journal.pbio.3004037.s003 https://figshare.com/articles/figure/_p_Effects_of_total_brain_volume_on_intrinsic_timescale_and_its_developmental_patterns_p_/34026986 CC BY 4.0