2026-10-12T16:12:46Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34027007 2026-09-29T17:40:18Z 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

<p>Developmental patterns of lag-1 temporal autocorrelation in HCPD.</p> 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 <p>Lag-1 temporal autocorrelation (lag-1 TA) was estimated in HCPD as a complementary measure of intrinsic timescale. <b>(a)</b> Cortical map of lag-1 TA and relationship between whole-brain average lag-1 TA and age. Each data point in the scatter plot represents an individual participant (partial <i>R</i>² = 0.008, <i>p</i>_anova = 0.03). <b>(b)</b> Region-wise GAMs identified heterogeneous age effects (i.e., partial <i>R</i>²) across cortex. FDR-corrected maps show regions with significant age effects (<i>p</i>_FDR < 0.05; 28.2% of regions with significant age effects). <b>(c)</b> Age effects on lag-1 TA were not significantly associated with the S–A axis. Significance of the association between age effects and S–A axis rank was assessed using 10,000 spin tests. <i>r</i>_s denotes Spearman’s rank correlation coefficient. Linear regression line is added for visualization purposes only. <b>(d)</b> Regional trajectories of developmental patterns of lag-1 TA were obtained from region-wise GAM results. Each line corresponds to the model fit of each cortical region and is colored based on the region’s rank along the S–A axis. 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>.</p> <p>(TIFF)</p> 2026-09-29T18:01:47Z Image Figure 10.1371/journal.pbio.3004037.s009 https://figshare.com/articles/figure/_p_Developmental_patterns_of_lag-1_temporal_autocorrelation_in_HCPD_p_/34027007 CC BY 4.0