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--- bigdata:abcd [2024/03/15 12:59] – sdm63
+++ bigdata:abcd [2025/08/27 16:07] (current) – will
@@ Line 1: / Line 1: @@
 ====== ABCD ======
-The [[ABCD Study®]]https://abcdstudy.org/ is the largest long-term study of brain development and child health in the United States.
+The [[https://abcdstudy.org/ | Adolescent Brain Cognitive Development Study]] is the largest long-term study of brain development and child health in the United States.
-Adolescent Brain Cognitive Devlopment
-  * Age range: currently 9-13
-  * Sample size: N = 11,880
-  * Longitudinal
-  * Excludes neurodevelopmental disorders
-  * Collected across 21 sites (3T Siemens, GE, and Philips)
+===== Access =====
+  * [[:admin:duc]]
+  * [[https://deapscience.com/|Data Exploration and Analysis Portal (DEAP)]] with R via [[https://software.nbdc-datahub.org/NBDCtools/|NBDCtools]] ([[https://github.com/nbdc-datahub/NBDCtools|github]])
+===== Usage =====
+The [[https://www.abcd-repronim.org/| ABCD ReproNim]] course provides training for reproducible analyses using the ABCD dataset.
+Data/variables can be explored here: https://data-dict.abcdstudy.org/?
+Study protocols can be found here: https://abcdstudy.org/scientists/protocols/
+And here's an ABCD discussion forum for further questions: https://github.com/now-i-know-my-abcd/docs/discussions
+===== Data =====
+  * Age range: currently 9-13
+  * Sample size: N = 11,880
+  * Longitudinal
+  * Excludes neurodevelopmental disorders
+  * Collected across 21 sites (3T Siemens, GE, and Philips)
+  * Accessible through NDA
+  * Neuroimaging Measures
+    * Structural MRI
+    * DTI
+    * Resting state fMRI (2 5-min runs)
+    * Task fMRI
+      * Emotional N-back
+      * StopSignal
+      * Monetary Incentive Delay
+  * Other Available Measures
+    * Pubertal Development Scale
+    * Psychopathology: KSADS, YSR/ASR
+    * Cognitive: NIH Toolbox, BIS/BAS, UPPS
+    * Pubertal hormones
+    * Genetics
 {{:bigdata:pasted:20240315-123951.png}}
-The [[ABCD ReproNim]]https://www.abcd-repronim.org/ course provides training for reproducible analyses using the ABCD dataset.
-Data/variables can be explored here: https://data-dict.abcdstudy.org/?
-Study protocols can be found here: https://abcdstudy.org/scientists/protocols/
-And here's an ABCD discussion forum for further questions: https://github.com/now-i-know-my-abcd/docs/discussions