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oai:figshare.com:article/34027031 2026-09-29T17:40:30Z 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

Stable intrinsic timescale in young adults. 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) Intrinsic timescale in young adults (HCPYA dataset) reflects the hierarchical organization captured by the S–A axis, such that sensorimotor regions have shorter timescales while association regions have longer timescales. Asterisk in the boxplot denotes significant difference in the means (two-tailed t test). (b) However, unlike the developmental cohorts, GAM results demonstrated that the whole-brain average timescale remains relatively stable in adulthood (partial R2 = −0.004, panova = 0.04). (c) Region-wise GAMs identified heterogeneous age effects (i.e., partial R2) across the cortex; however, those age effects were not statistically significant for the majority of brain regions. (d) Unlike the developmental cohorts, age effects on the intrinsic timescale did not reflect the hierarchical organization along the S–A axis during adulthood. Significance of the associations between cortical maps (i.e., scatter plots) was assessed using 10,000 spin tests. 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>. 2026-09-29T18:01:47Z Image Figure 10.1371/journal.pbio.3004037.g006 https://figshare.com/articles/figure/_p_Stable_intrinsic_timescale_in_young_adults_p_/34027031 CC BY 4.0