2026-10-12T20:47:01Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34027010 2026-09-29T17:40:20Z 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

Relationship between ACF-sum intrinsic timescale and lag-1 temporal autocorrelation. 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 We compared regional maps of intrinsic timescale estimated using the original ACF-sum method and lag-1 temporal autocorrelation (lag-1 TA) in HCPD. (a) Regional intrinsic timescale maps estimated using the two approaches were not significantly correlated. (b) In contrast, regional age effects (i.e., partial R2) estimated using the two approaches were significantly correlated. Each data point in the scatter plot represents a brain region from the Schaefer 400 atlas. The data points are colored based on their rankings on the S–A axis. rs denotes Spearman’s rank correlation coefficient. Significance was assessed using 10,000 spin tests. 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.s010 https://figshare.com/articles/figure/_p_Relationship_between_ACF-sum_intrinsic_timescale_and_lag-1_temporal_autocorrelation_p_/34027010 CC BY 4.0