Publications by Jacob DeRosa

rest profiles

02.05.2023

Rest Profiles: Identification We identified four prominent subtypes of functional connectivity, each characterized by distinct patterns of mean z-scores and standard deviations (Fig XX). These subtypes were highly reproducible (0.98-0.996) based on their across-sample-matched maximum correlations, indicating reliability for further investigation ...

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Full Sample Z-Ave Predictions

09.04.2023

Notes Here I am using simple linear regression to predict z-ave using the full sample. Parcel centrality and within-network dispersion was re-calculated using Mahalanobis distance. The Mahalanobis distance was chosen since it measures the distance between a point and a distribution, accounting for the correlations among the variables (gradient dime...

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dti_clusters

31.03.2023

library(dplyr) ## Warning: package 'dplyr' was built under R version 4.1.2 ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union dti_clusters <- read.csv("~/Downloads/dti_clusters.csv")...

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Intro

24.03.2023

Background 1.1. Introduction to the ABCD dataset The Adolescent Brain Cognitive Development (ABCD) study represents a monumental, longitudinal research initiative aimed at elucidating the intricate interplay of biological, environmental, and social factors that shape brain development and cognitive functioning in children and adolescents (Volkow et...

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backgorund

16.03.2023

In this context, the overarching question we aim to address is: Can subtypes based separately on resting state functional connectivity, structural imaging, and diffusion tensor imaging measures improve our understanding of the underlying neural mechanisms that contribute to typical and atypical development in cognitive functioning and psychopatholo...

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Delay Discounting Presentation

03.06.2021

Abstract The tendency to prefer smaller, immediate rewards over larger, delayed rewards is known as Delay Discounting (DD), and individual differences in DD has been implicated in a variety of psychiatric disorders. DD offers insight into executive dysfunction and may be an important transdiagnostic marker for ADHD, OCD, Autism and other psychia...

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NVLD Tables

21.07.2021

Louvain Cluster Table Cluster 1 Cluster 2 Cluster 3 Cluster 4 n = 44 n = 37 n = 35 n = 64 Measure M (SD) M (SD) M (SD) M (SD) F p Post Hoc VCI VSI 16.14 (11.24) 21.7 (11.47) 11.34 (12.41) -2.16 (11.97) 38.99 0 4-1 3-2 4-2 4-3 VCI FRI 18.93 (9.61) 6.46 (11.84) 18.97 (8.78) -5.16 (11.09) 62.43 0 2-1 4-1 3-2 4-2 4-3 ...

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Delay Discounting Follow-up Updates

18.10.2021

Updates Assess Uni-dimensionality of CBCL by running EFA on CBCL T score and raw scores Covary for IQ, SES, & comorbid learning disorders in ADHD sample and other diagnoses sample Run correlations with Age, IQ, SES, CBCL, WISC, WIAT, & NIH toolbox tasks with DD items and factors Table of IQ, Sex, CBCL (total and raw), WISC, & WIAT differences by...

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