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Linking temporal dynamics of children's natural behavior to brain development.

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  1. [1] § Temporal dynamics of behavior across the school day › Associations with cortical thickness and surface area ↔ 2. structural analyses.do, lines 177–266 · score 0.59 · rostral middle frontal, pFDR, baseline activity, Regression, thickness, caudal

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  1. ********************************************************************************
  2. *2. STRUCTURAL ANALYSES
  3. ********************************************************************************
  4. *STRUCTURAL MRI
  5. ********************************************************************************
  6. use "abcd\abcd dia\abcd dia dataset prereg.dta", clear
  7. merge 1:1 src_subject_id using "abcd\data\dtas\mh_p_cbcl 2yrf.dta", gen(merge_pcbcl)
  8. merge 1:1 src_subject_id using "abcd\data\dtas\mh_t_bpm 2yrf.dta", gen(merge_tbpm)
  9. merge 1:1 src_subject_id using "abcd\data\dtas\mh_y_bpm 2yrf.dta", gen(merge_ybpm)
  10. merge 1:1 src_subject_id using "abcd\data\dtas\nihtb 2yrf.dta", gen(merge_nihtb2yrf)
  11. merge 1:1 src_subject_id using "abcd\data\dtas\nc_p_bdef 3yrf.dta", gen(merge_pbdef)
  12. *merge in resting state fMRI data- 2 yr follow-up
  13. merge 1:1 src_subject_id using "Box\abcd\data\dtas\fmri 2yrfu.dta", gen(merge_rsfmri)
  14. *merge family id from baseline
  15. drop rel_family_id
  16. merge 1:1 src_subject_id using "abcd\data\dtas\abcd_y_lt baseline.dta", gen(merge_famidbaseline)
  17. *merge quality control inclusion
  18. merge 1:1 src_subject_id using "abcd\data\dtas\mri_qc_include.dta", gen(merge_mriqc_incl)
  20. rename slope dia
  21. rename intercept base_act
  23. merge 1:1 src_subject_id using "abcd\data\dtas\abcd_p_demo baseline.dta", gen(merge_demobaseline)
  24. gen male=1 if demo_sex_v2==1
  25. replace male=1 if demo_sex_v2==3
  26. replace male=0 if demo_sex_v2==2
  28. recode demo_comb_income_v2 demo_prnt_ed_v2 demo_prtnr_ed_v2 (777=.)(999=.)
  29. *create variable for highest parent education between mother and father
  30. egen par_ed = rowmax(demo_prnt_ed_v2 demo_prtnr_ed_v2)
  31. encode site_id_l, gen(site_num)
  33. rename cbcl_scr_dsm5_adhd_r pcbcl_adhd_f2
  34. rename bpm_t_scr_attention_r tbpm_adhd_f2
  35. rename bpm_y_scr_attention_r ybpm_adhd_f2
  37. tab site_num, gen(site)
  38. egen zage=std(interview_age)
  40. global smri male zage i.site_num
  42. merge 1:1 src_subject_id using "abcd\data\dtas\smri thickness f2.dta", gen(merge_smrithickf2)
  43. *********************************
  44. *CORTICAL thickness
  46. *********************************
  47. *keep if the images passed quality control for T1 phase.
  48. keep if imgincl_t1w_include==1
  50. sum smri_thick_cdk_cdmdfrlh smri_thick_cdk_cdmdfrrh_f2 smri_thick_cdk_rrmdfrlh smri_thick_cdk_rrmdfrrh smri_thick_cdk_precnlh smri_thick_cdk_precnrh
  53. *z-score for interpretation in multi-level models
  54. foreach var of varlist smri_thick_cdk_cdmdfrlh smri_thick_cdk_cdmdfrrh_f2 smri_thick_cdk_rrmdfrlh smri_thick_cdk_rrmdfrrh smri_thick_cdk_precnlh smri_thick_cdk_precnrh par_ed pcbcl_adhd_f2 tbpm_adhd_f2 ybpm_adhd_f2 {
  55. egen z`var'=std(`var')
  56. }
  57. egen zflanker=std(nihtbx_flanker_uncorrected)
  59. *left rostral middle frontal
  60. mixed zsmri_thick_cdk_rrmdfrlh zdia3sd zbase_act3sd $smri || rel_family_id:
  61. mixed zsmri_thick_cdk_rrmdfrlh zbase_act3sd $smri || rel_family_id:
  62. mixed zsmri_thick_cdk_rrmdfrlh zpcbcl_adhd_f2 $smri || rel_family_id:
  63. mixed zsmri_thick_cdk_rrmdfrlh ztbpm_adhd_f2 $smri || rel_family_id:
  64. mixed zsmri_thick_cdk_rrmdfrlh zybpm_adhd_f2 $smri || rel_family_id:
  65. mixed zsmri_thick_cdk_rrmdfrlh zposurg $rs_fmri || rel_family_id:
  66. mixed zsmri_thick_cdk_rrmdfrlh zinhib $rs_fmri || rel_family_id:
  67. mixed zsmri_thick_cdk_rrmdfrlh zpar_ed $smri || rel_family_id:
  68. mixed zsmri_thick_cdk_rrmdfrlh $smri || rel_family_id:
  69. mixed zsmri_thick_cdk_rrmdfrrh zcm_met3sd $smri || rel_family_id:
  71. *right rostral middle frontal
  72. mixed zsmri_thick_cdk_rrmdfrrh zdia3sd zbase_act3sd $smri || rel_family_id:
  73. mixed zsmri_thick_cdk_rrmdfrrh zbase_act3sd $smri || rel_family_id:
  74. mixed zsmri_thick_cdk_rrmdfrrh zpcbcl_adhd_f2 $smri || rel_family_id:
  75. mixed zsmri_thick_cdk_rrmdfrrh ztbpm_adhd_f2 $smri || rel_family_id:
  76. mixed zsmri_thick_cdk_rrmdfrrh zybpm_adhd_f2 $smri || rel_family_id:
  77. mixed zsmri_thick_cdk_rrmdfrrh zposurg $rs_fmri || rel_family_id:
  78. mixed zsmri_thick_cdk_rrmdfrrh zinhib $rs_fmri || rel_family_id:
  79. mixed zsmri_thick_cdk_rrmdfrrh zpar_ed $smri || rel_family_id:
  80. mixed zsmri_thick_cdk_rrmdfrrh $smri || rel_family_id:
  81. mixed zsmri_thick_cdk_rrmdfrrh zcm_met3sd $smri || rel_family_id:
  83. *left caudal middle frontal
  84. mixed zsmri_thick_cdk_cdmdfrlh zdia3sd zbase_act3sd $smri || rel_family_id:
  85. mixed zsmri_thick_cdk_cdmdfrlh zbase_act3sd $smri || rel_family_id:
  86. mixed zsmri_thick_cdk_cdmdfrlh zpcbcl_adhd_f2 $smri || rel_family_id:
  87. mixed zsmri_thick_cdk_cdmdfrlh ztbpm_adhd_f2 $smri || rel_family_id:
  88. mixed zsmri_thick_cdk_cdmdfrlh zybpm_adhd_f2 $smri || rel_family_id:
  89. mixed zsmri_thick_cdk_cdmdfrlh zposurg $rs_fmri || rel_family_id:
  90. mixed zsmri_thick_cdk_cdmdfrlh zinhib $rs_fmri || rel_family_id:
  91. mixed zsmri_thick_cdk_cdmdfrlh zpar_ed $smri || rel_family_id:
  92. mixed zsmri_thick_cdk_cdmdfrlh $smri || rel_family_id:
  93. mixed zsmri_thick_cdk_cdmdfrlh zcm_met3sd $smri || rel_family_id:
  95. *right caudal middle frontal
  96. mixed zsmri_thick_cdk_cdmdfrrh_f2 zdia3sd zbase_act3sd $smri || rel_family_id:
  97. mixed zsmri_thick_cdk_cdmdfrrh_f2 zbase_act3sd $smri || rel_family_id:
  98. mixed zsmri_thick_cdk_cdmdfrrh_f2 zpcbcl_adhd_f2 $smri || rel_family_id:
  99. mixed zsmri_thick_cdk_cdmdfrrh_f2 ztbpm_adhd_f2 $smri || rel_family_id:
  100. mixed zsmri_thick_cdk_cdmdfrrh_f2 zybpm_adhd_f2 $smri || rel_family_id:
  101. mixed zsmri_thick_cdk_cdmdfrrh_f2 zposurg $rs_fmri || rel_family_id:
  102. mixed zsmri_thick_cdk_cdmdfrrh_f2 zinhib $rs_fmri || rel_family_id:
  103. mixed zsmri_thick_cdk_cdmdfrrh_f2 zpar_ed $smri || rel_family_id:
  104. mixed zsmri_thick_cdk_cdmdfrrh_f2 $smri || rel_family_id:
  105. mixed zsmri_thick_cdk_cdmdfrrh_f2 zcm_met3sd $smri || rel_family_id:
  107. *left precentral gyrus
  108. mixed zsmri_thick_cdk_precnlh zdia3sd zbase_act3sd $smri || rel_family_id:
  109. mixed zsmri_thick_cdk_precnlh zbase_act3sd $smri || rel_family_id:
  110. mixed zsmri_thick_cdk_precnlh zpcbcl_adhd_f2 $smri || rel_family_id:
  111. mixed zsmri_thick_cdk_precnlh ztbpm_adhd_f2 $smri || rel_family_id:
  112. mixed zsmri_thick_cdk_precnlh zybpm_adhd_f2 $smri || rel_family_id:
  113. mixed zsmri_thick_cdk_precnlh zposurg $rs_fmri || rel_family_id:
  114. mixed zsmri_thick_cdk_precnlh zinhib $rs_fmri || rel_family_id:
  115. mixed zsmri_thick_cdk_precnlh zpar_ed $smri || rel_family_id:
  116. mixed zsmri_thick_cdk_precnlh $smri || rel_family_id:
  117. mixed zsmri_thick_cdk_precnlh zcm_met3sd $smri || rel_family_id:
  119. *right precentral gyrus
  120. mixed zsmri_thick_cdk_precnrh zdia3sd zbase_act3sd $smri || rel_family_id:
  121. mixed zsmri_thick_cdk_precnrh zbase_act3sd $smri || rel_family_id:
  122. mixed zsmri_thick_cdk_precnrh zpcbcl_adhd_f2 $smri || rel_family_id:
  123. mixed zsmri_thick_cdk_precnrh ztbpm_adhd_f2 $smri || rel_family_id:
  124. mixed zsmri_thick_cdk_precnrh zybpm_adhd_f2 $smri || rel_family_id:
  125. mixed zsmri_thick_cdk_precnrh zposurg $rs_fmri || rel_family_id:
  126. mixed zsmri_thick_cdk_precnrh zinhib $rs_fmri || rel_family_id:
  127. mixed zsmri_thick_cdk_precnrh zpar_ed $smri || rel_family_id:
  128. mixed zsmri_thick_cdk_precnrh $smri || rel_family_id:
  129. mixed zsmri_thick_cdk_precnrh zcm_met3sd $smri || rel_family_id:
  132. ********************************************************************************
  133. *SURFACE AREA
  134. merge 1:1 src_subject_id using "abcd\data\dtas\smri surface area f2.dta", gen(merge_smriareaf2)
  135. *CORTICAL surface area
  136. *z-score for interpretation in multi-level models
  137. foreach var of varlist smri_area_cdk_cdmdfrlh smri_area_cdk_cdmdfrrh_f2 smri_area_cdk_rrmdfrlh smri_area_cdk_rrmdfrrh smri_area_cdk_precnlh smri_area_cdk_precnrh{
  138. egen z`var'=std(`var')
  139. }
  141. *left rostral middle frontal
  142. mixed zsmri_area_cdk_rrmdfrlh zdia3sd zbase_act3sd $smri || rel_family_id:
  143. mixed zsmri_area_cdk_rrmdfrlh zbase_act3sd $smri || rel_family_id:
  144. mixed zsmri_area_cdk_rrmdfrlh zpcbcl_adhd_f2 $smri || rel_family_id:
  145. mixed zsmri_area_cdk_rrmdfrlh ztbpm_adhd_f2 $smri || rel_family_id:
  146. mixed zsmri_area_cdk_rrmdfrlh zybpm_adhd_f2 $smri || rel_family_id:
  147. mixed zsmri_area_cdk_rrmdfrlh zposurg $rs_fmri || rel_family_id:
  148. mixed zsmri_area_cdk_rrmdfrlh zinhib $rs_fmri || rel_family_id:
  149. mixed zsmri_area_cdk_rrmdfrlh zpar_ed $smri || rel_family_id:
  150. mixed zsmri_area_cdk_rrmdfrlh $smri || rel_family_id:
  151. mixed zsmri_area_cdk_rrmdfrlh zcm_met3sd $smri || rel_family_id:
  153. *right rostral middle frontal
  154. mixed zsmri_area_cdk_rrmdfrrh zdia3sd zbase_act3sd $smri || rel_family_id:
  155. mixed zsmri_area_cdk_rrmdfrrh zbase_act3sd $smri || rel_family_id:
  156. mixed zsmri_area_cdk_rrmdfrrh zpcbcl_adhd_f2 $smri || rel_family_id:
  157. mixed zsmri_area_cdk_rrmdfrrh ztbpm_adhd_f2 $smri || rel_family_id:
  158. mixed zsmri_area_cdk_rrmdfrrh zybpm_adhd_f2 $smri || rel_family_id:
  159. mixed zsmri_area_cdk_rrmdfrrh zposurg $rs_fmri || rel_family_id:
  160. mixed zsmri_area_cdk_rrmdfrrh zinhib $rs_fmri || rel_family_id:
  161. mixed zsmri_area_cdk_rrmdfrrh zpar_ed $smri || rel_family_id:
  162. mixed zsmri_area_cdk_rrmdfrrh $smri || rel_family_id:
  163. mixed zsmri_area_cdk_rrmdfrrh zcm_met3sd $smri || rel_family_id:
  165. *left caudal middle frontal
  166. mixed zsmri_area_cdk_cdmdfrlh zdia3sd zbase_act3sd $smri || rel_family_id:
  167. mixed zsmri_area_cdk_cdmdfrlh zbase_act3sd $smri || rel_family_id:
  168. mixed zsmri_area_cdk_cdmdfrlh zpcbcl_adhd_f2 $smri || rel_family_id:
  169. mixed zsmri_area_cdk_cdmdfrlh ztbpm_adhd_f2 $smri || rel_family_id:
  170. mixed zsmri_area_cdk_cdmdfrlh zybpm_adhd_f2 $smri || rel_family_id:
  171. mixed zsmri_area_cdk_cdmdfrlh zposurg $rs_fmri || rel_family_id:
  172. mixed zsmri_area_cdk_cdmdfrlh zinhib $rs_fmri || rel_family_id:
  173. mixed zsmri_area_cdk_cdmdfrlh zpar_ed $smri || rel_family_id:
  174. mixed zsmri_area_cdk_cdmdfrlh $smri || rel_family_id:
  175. mixed zsmri_area_cdk_cdmdfrlh zcm_met3sd $smri || rel_family_id:
  177. *right caudal middle frontal
  178. mixed zsmri_area_cdk_cdmdfrrh_f2 zdia3sd zbase_act3sd $smri || rel_family_id:
  179. mixed zsmri_area_cdk_cdmdfrrh_f2 zbase_act3sd $smri || rel_family_id:
  180. mixed zsmri_area_cdk_cdmdfrrh_f2 zpcbcl_adhd_f2 $smri || rel_family_id:
  181. mixed zsmri_area_cdk_cdmdfrrh_f2 ztbpm_adhd_f2 $smri || rel_family_id:
  182. mixed zsmri_area_cdk_cdmdfrrh_f2 zybpm_adhd_f2 $smri || rel_family_id:
  183. mixed zsmri_area_cdk_cdmdfrrh_f2 zposurg $rs_fmri || rel_family_id:
  184. mixed zsmri_area_cdk_cdmdfrrh_f2 zinhib $rs_fmri || rel_family_id:
  185. mixed zsmri_area_cdk_cdmdfrrh_f2 zpar_ed $smri || rel_family_id:
  186. mixed zsmri_area_cdk_cdmdfrrh_f2 $smri || rel_family_id:
  187. mixed zsmri_area_cdk_cdmdfrrh_f2 zcm_met3sd $smri || rel_family_id:
  189. *left precentral gyrus
  190. mixed zsmri_area_cdk_precnlh zdia3sd zbase_act3sd $smri || rel_family_id:
  191. mixed zsmri_area_cdk_precnlh zbase_act3sd $smri || rel_family_id:
  192. mixed zsmri_area_cdk_precnlh zpcbcl_adhd_f2 $smri || rel_family_id:
  193. mixed zsmri_area_cdk_precnlh ztbpm_adhd_f2 $smri || rel_family_id:
  194. mixed zsmri_area_cdk_precnlh zybpm_adhd_f2 $smri || rel_family_id:
  195. mixed zsmri_area_cdk_precnlh zposurg $rs_fmri || rel_family_id:
  196. mixed zsmri_area_cdk_precnlh zinhib $rs_fmri || rel_family_id:
  197. mixed zsmri_area_cdk_precnlh zpar_ed $smri || rel_family_id:
  198. mixed zsmri_area_cdk_precnlh $smri || rel_family_id:
  199. mixed zsmri_area_cdk_precnlh zcm_met3sd $smri || rel_family_id:
  201. *right precentral gyrus
  202. mixed zsmri_area_cdk_precnrh zdia3sd zbase_act3sd $smri || rel_family_id:
  203. mixed zsmri_area_cdk_precnrh zbase_act3sd $smri || rel_family_id:
  204. mixed zsmri_area_cdk_precnrh zpcbcl_adhd_f2 $smri || rel_family_id:
  205. mixed zsmri_area_cdk_precnrh ztbpm_adhd_f2 $smri || rel_family_id:
  206. mixed zsmri_area_cdk_precnrh zybpm_adhd_f2 $smri || rel_family_id:
  207. mixed zsmri_area_cdk_precnrh zposurg $rs_fmri || rel_family_id:
  208. mixed zsmri_area_cdk_precnrh zinhib $rs_fmri || rel_family_id:
  209. mixed zsmri_area_cdk_precnrh zpar_ed $smri || rel_family_id:
  210. mixed zsmri_area_cdk_precnrh $smri || rel_family_id:
  211. mixed zsmri_area_cdk_precnrhv zcm_met3sd $smri || rel_family_id:
  214. ********************************************************************************
  215. *FIGURES
  216. *********************************
  217. *SMRI scatterplots
  218. gen dia06=(dia/10)+.06
  219. gen base_act195=(base_act/10)+1.95
  221. sum dia06, d
  222. gen dia06_3sd=dia06
  223. replace dia06_3sd=.279884 if dia06>.279884 & dia06!=.
  224. replace dia06_3sd=-.16113 if dia06< -.16113
  225. *get percentiles of DIA
  226. xtile dia06_3sd_100 = dia06_3sd,nquantile(100)
  228. ********************************************************************************
  229. *ROSTRAL MIDDLE FRONTAL
  230. *get mean thickness in rmfg for each percentile of DIA
  231. bysort dia06_3sd_100: egen mrrmdfrlh=mean(smri_thick_cdk_rrmdfrlh)
  232. *get mean DIA for each percentile of DIA
  233. bysort dia06_3sd_100: egen mdia100=mean(dia06_3sd)
  234. *regression model to get estimates to put in the subtitle
  235. mixed smri_thick_cdk_rrmdfrlh dia06_3sd base_act195_3sd $smri || rel_family_id:
  237. twoway (scatter smri_thick_cdk_rrmdfrlh dia06_3sd, mcolor(blue*.2) msize(vsmall)) (scatter mrrmdfrlh mdia100, mcolor(blue)) (lfit smri_thick_cdk_rrmdfrlh dia06_3sd,lcolor(black)), legend(off) xtitle("DIA", size(vlarge)) ytitle("L Rostral Middle Frontal", size(vlarge)) xsize(6) ysize(4) name("thick_rmfl", replace) title("i)", position(11)) subtitle("{it:b} = -0.06, {it:pFDR} = .041, {it:B} = -0.04", position(11))
  238. graph save "thick_rmfl" "abcd\abcd dia\figures\functional\thick_rmfl_dia raw scale.gph", replace
  240. *precentral
  241. mixed smri_thick_cdk_precnlh dia06_3sd base_act195_3sd $smri || rel_family_id:
  243. bysort dia06_3sd_100: egen mprecentral=mean(smri_thick_cdk_precnlh)
  244. twoway (scatter smri_thick_cdk_precnlh dia06_3sd, mcolor(blue*.2) msize(vsmall)) (scatter mprecentral mdia100, mcolor(blue)) (lfit smri_thick_cdk_precnlh dia06_3sd,lcolor(black)), legend(off) xtitle("DIA", size(vlarge)) ytitle("L Precentral", size(vlarge)) xsize(6) ysize(4) name("thick_precentral", replace) title("ii)", position(11)) subtitle("{it:b} = -0.06, {it:pFDR} = .041, {it:B} = -0.04", position(11))
  245. graph save "thick_precentral" "abcd\abcd dia\figures\functional\thick_precntral_dia raw scale.gph", replace
  247. graph combine "abcd\abcd dia\figures\functional\thick_rmfl_dia raw scale.gph" "C:\Users\akoepp\Box\abcd\abcd dia\figures\functional\thick_precntral_dia raw scale.gph", iscale(1)
  248. graph export "abcd\abcd dia\figures\structural\thick dia raw scale.png", as(png) name("Graph") replace
  249. ********************************************************************************
  250. *repeat for baseline activity
  252. gen base_act195_3sd=base_act195
  253. replace base_act195_3sd=2.826739 if base_act195>2.826739 & base_act195!=.
  254. replace base_act195_3sd=1.069673 if base_act195<1.069673
  256. xtile baseact_100 = base_act195_3sd,nquantile(100)
  257. bysort baseact_100: egen mbase=mean(base_act195_3sd)
  258. bysort baseact_100: egen mbthick_rrmfl=mean(smri_thick_cdk_rrmdfrlh)
  261. twoway (scatter smri_thick_cdk_rrmdfrlh base_act195_3sd, mcolor(blue*.2) msize(vsmall)) (scatter mbthick_rrmfl mbase, mcolor(blue)) (lfit smri_thick_cdk_rrmdfrlh base_act195_3sd,lcolor(black)), legend(off) xtitle("Baseline activity", size(vlarge)) ytitle("L Rostral Middle Frontal", size(vlarge)) xsize(6) ysize(4) name("thick_rrmfl_base", replace) title("i)", position(11)) subtitle("{it:b} = -0.02, {it:pFDR} = .012, {it:B} = -0.05", position(11))
  262. graph save "thick_rrmfl_base" "abcd\abcd dia\figures\functional\thick_rrmfl_base raw scale.gph", replace
  263. graph combine "abcd\abcd dia\figures\functional\thick_rrmfl_base raw scale.gph" "C:\Users\akoepp\Box\abcd\abcd dia\figures\functional\thick_rrmfl_base raw scale.gph", iscale(1)
  264. graph export "abcd\abcd dia\figures\structural\thick base raw scale.png", as(png) replace
  265. *BASE ACT
  266. graph save "thick_precenttral_base" "abcd\abcd dia\figures\functional\thick_precentral_base raw scale.g*ph", replace

2. structural analyses.do, no license · at the source

Overview

Authors: Andrew E. Koepp1, Monami Nishio2, Allyson P. Mackey2
ORCID iDs: Andrew E. Koepp
  1. Department of Applied Psychology, New York University, USA
  2. Department of Psychology, University of Pennsylvania, USA
Institutions: New York University (United States); University of Pennsylvania (United States)
Journal: Developmental cognitive neuroscience, volume 80, article 101742
Dates: received 1 July 2025; accepted 18 May 2026; published online 20 May 2026; in print August 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1016/j.dcn.2026.101742 · PMID 42184613 · PMCID PMC13226231 · OpenAlex W4411977031
Open access: gold, a free copy (OpenAlex)
Preprint: doi:10.2139/ssrn.5336165
Status: code verified
Categories: structural MRI / diffusion (modality), other (modality), human (organism)
Methods: Statistics, Preprocessing, fMRI & imaging
Keywords: Actigraphy, Behavioral regulation, Cortical thickness, Functional connectivity, Motor control
MeSH: Brain*, Child Behavior*, Child Development*, Executive Function*, Self-Control*, Actigraphy, Child, Female, Humans, Individuality, Magnetic Resonance Imaging, Male, Neurodevelopment (* major topic)
Topic: Child and Animal Learning Development (Developmental and Educational Psychology, Psychology), according to OpenAlex
Funding: NSF (2045095); NIH (U01DA041048, U01DA050989, U01DA051016, U01DA041022, U01DA051018, U01DA051037, U01DA050987, U01DA041174, U01DA041106, U01DA041117, U01DA041028, U01DA041134, U01DA050988, U01DA051039, U01DA041156, U01DA041025, U01DA041120, U01DA051038, U01DA041148, U01DA041093, U01DA041089, U24DA041123, U24DA041147)
Citations: not cited yet (Europe PMC); 82 references in the paper

Abstract

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Repositories

Its files are read in the Code ↔ Paper reader above, with 1 match between paragraphs and lines of code.

nda.nih.gov/abcd

License: none: the authors keep all their rights
State: the link answers, verified on 28 September 2026
Evidence: the link answers
Software Heritage: not checked
Found in: “Data availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 28 September 2026: the link answers (HTTP 200)
  • 28 September 2026: the link answers (HTTP 200)
At the source: nda.nih.gov/abcd

OSF 5b6sd

License: none: the authors keep all their rights
State: the link answers, verified on 28 September 2026
Evidence: files inventoried
Languages: Stata (3), Python (1)
Size: 4 files, 4 scripts
Software Heritage: not checked
Found in: “Data availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: NumPy (1 file), pandas (1 file)
Availability: 1 check, the latest on 28 September 2026: the link answers (HTTP 200)
  • 28 September 2026: the link answers (HTTP 200)
4 files
At the source: osf.io/5b6sd/

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Tracing map

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  • 1 match between paragraphs of the paper and lines of the code (method lexical-v1);
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Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

No dataset and no data link were found in the paper.

Code and data availability statement

The paper has a code and data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

Read it in the paper: doi.org/10.1016/j.dcn.2026.101742.

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Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 3 authors, 5 keywords, 13 MeSH terms, 2 funders, 75 references.

Cite

This paper

Koepp, A. E., Nishio, M., & Mackey, A. P. (2026). Linking temporal dynamics of children's natural behavior to brain development. Developmental cognitive neuroscience, 80, 101742. https://doi.org/10.1016/j.dcn.2026.101742

BibTeX

@article{koepp2026linking,
author = {Koepp, Andrew E. and Nishio, Monami and Mackey, Allyson P.},
title = {{Linking temporal dynamics of children's natural behavior to brain development}},
journal = {Developmental cognitive neuroscience},
year = {2026},
month = may,
volume = {80},
pages = {101742},
publisher = {Elsevier},
issn = {1878-9293},
doi = {10.1016/j.dcn.2026.101742},
url = {https://doi.org/10.1016/j.dcn.2026.101742},
pmid = {42184613},
pmcid = {PMC13226231}
}

RIS

TY - JOUR
AU - Koepp, Andrew E.
AU - Nishio, Monami
AU - Mackey, Allyson P.
TI - Linking temporal dynamics of children's natural behavior to brain development
T2 - Developmental cognitive neuroscience
J2 - Dev Cogn Neurosci
PY - 2026
DA - 2026/05/20
VL - 80
SP - 101742
SN - 1878-9293
PB - Elsevier
DO - 10.1016/j.dcn.2026.101742
UR - https://doi.org/10.1016/j.dcn.2026.101742
LA - en
ER -

CSL-JSON

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"title": "Linking temporal dynamics of children's natural behavior to brain development",
"container-title": "Developmental cognitive neuroscience",
"author": [
{
"family": "Koepp",
"given": "Andrew E."
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"given": "Monami"
},
{
"family": "Mackey",
"given": "Allyson P."
}
],
"container-title-short": "Dev Cogn Neurosci",
"volume": "80",
"page": "101742",
"DOI": "10.1016/j.dcn.2026.101742",
"PMID": "42184613",
"PMCID": "PMC13226231",
"ISSN": "1878-9293",
"publisher": "Elsevier",
"URL": "https://doi.org/10.1016/j.dcn.2026.101742",
"language": "en",
"issued": {
"date-parts": [
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}
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