Investigating functional brain network integrity using a traditional and novel categorical scheme for neurodevelopmental disorders

Dina R. Dajani, Catherine A. Burrows, Paola Odriozola, Adriana Baez, Mary Beth Nebel, Stewart H Mostofsky, Lucina Q. Uddin

Research output: Contribution to journalArticle

Abstract

Background: Current diagnostic systems for neurodevelopmental disorders do not have clear links to underlying neurobiology, limiting their utility in identifying targeted treatments for individuals. Here, we aimed to investigate differences in functional brain network integrity between traditional diagnostic categories (autism spectrum disorder [ASD], attention-deficit/hyperactivity disorder [ADHD], typically developing [TD]) and carefully consider the impact of comorbid ASD and ADHD on functional brain network integrity in a sample adequately powered to detect large effects. We also assess the neurobiological separability of a novel, potential alternative categorical scheme based on behavioral measures of executive function. Method: Five-minute resting-state fMRI data were obtained from 168 children (128 boys, 40 girls) with ASD, ADHD, comorbid ASD and ADHD, and TD children. Independent component analysis and dual regression were used to compute within- and between-network functional connectivity metrics at the individual level. Results: No significant group differences in within- or between-network functional connectivity were observed between traditional diagnostic categories (ASD, ADHD, TD) even when stratified by comorbidity (ASD + ADHD, ASD, ADHD, TD). Similarly, subgroups classified by executive functioning levels showed no group differences. Conclusions: Using clinical diagnosis and behavioral measures of executive function, no differences in functional connectivity were observed among the categories examined. Despite our limited ability to detect small- to medium-sized differences between groups, this work contributes to a growing literature suggesting that traditional diagnostic categories do not define neurobiologically separable groups. Future work is necessary to ascertain the validity of the executive function-based nosology, but current results suggest that nosologies reliant on behavioral data alone may not lead to discovery of neurobiologically distinct categories.

Original languageEnglish (US)
Article number101678
JournalNeuroImage: Clinical
Volume21
DOIs
StatePublished - Jan 1 2019

Fingerprint

Attention Deficit Disorder with Hyperactivity
Brain
Executive Function
Aptitude
Neurobiology
Neurodevelopmental Disorders
Autism Spectrum Disorder
Comorbidity
Regression Analysis
Magnetic Resonance Imaging

Keywords

  • ADHD
  • ASD
  • DSM
  • Functional connectivity
  • Nosology
  • Research domain criteria

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Clinical Neurology
  • Cognitive Neuroscience

Cite this

Investigating functional brain network integrity using a traditional and novel categorical scheme for neurodevelopmental disorders. / Dajani, Dina R.; Burrows, Catherine A.; Odriozola, Paola; Baez, Adriana; Nebel, Mary Beth; Mostofsky, Stewart H; Uddin, Lucina Q.

In: NeuroImage: Clinical, Vol. 21, 101678, 01.01.2019.

Research output: Contribution to journalArticle

Dajani, Dina R. ; Burrows, Catherine A. ; Odriozola, Paola ; Baez, Adriana ; Nebel, Mary Beth ; Mostofsky, Stewart H ; Uddin, Lucina Q. / Investigating functional brain network integrity using a traditional and novel categorical scheme for neurodevelopmental disorders. In: NeuroImage: Clinical. 2019 ; Vol. 21.
@article{8011206852e44706800ffc4ec553a1d6,
title = "Investigating functional brain network integrity using a traditional and novel categorical scheme for neurodevelopmental disorders",
abstract = "Background: Current diagnostic systems for neurodevelopmental disorders do not have clear links to underlying neurobiology, limiting their utility in identifying targeted treatments for individuals. Here, we aimed to investigate differences in functional brain network integrity between traditional diagnostic categories (autism spectrum disorder [ASD], attention-deficit/hyperactivity disorder [ADHD], typically developing [TD]) and carefully consider the impact of comorbid ASD and ADHD on functional brain network integrity in a sample adequately powered to detect large effects. We also assess the neurobiological separability of a novel, potential alternative categorical scheme based on behavioral measures of executive function. Method: Five-minute resting-state fMRI data were obtained from 168 children (128 boys, 40 girls) with ASD, ADHD, comorbid ASD and ADHD, and TD children. Independent component analysis and dual regression were used to compute within- and between-network functional connectivity metrics at the individual level. Results: No significant group differences in within- or between-network functional connectivity were observed between traditional diagnostic categories (ASD, ADHD, TD) even when stratified by comorbidity (ASD + ADHD, ASD, ADHD, TD). Similarly, subgroups classified by executive functioning levels showed no group differences. Conclusions: Using clinical diagnosis and behavioral measures of executive function, no differences in functional connectivity were observed among the categories examined. Despite our limited ability to detect small- to medium-sized differences between groups, this work contributes to a growing literature suggesting that traditional diagnostic categories do not define neurobiologically separable groups. Future work is necessary to ascertain the validity of the executive function-based nosology, but current results suggest that nosologies reliant on behavioral data alone may not lead to discovery of neurobiologically distinct categories.",
keywords = "ADHD, ASD, DSM, Functional connectivity, Nosology, Research domain criteria",
author = "Dajani, {Dina R.} and Burrows, {Catherine A.} and Paola Odriozola and Adriana Baez and Nebel, {Mary Beth} and Mostofsky, {Stewart H} and Uddin, {Lucina Q.}",
year = "2019",
month = "1",
day = "1",
doi = "10.1016/j.nicl.2019.101678",
language = "English (US)",
volume = "21",
journal = "NeuroImage: Clinical",
issn = "2213-1582",
publisher = "Elsevier BV",

}

TY - JOUR

T1 - Investigating functional brain network integrity using a traditional and novel categorical scheme for neurodevelopmental disorders

AU - Dajani, Dina R.

AU - Burrows, Catherine A.

AU - Odriozola, Paola

AU - Baez, Adriana

AU - Nebel, Mary Beth

AU - Mostofsky, Stewart H

AU - Uddin, Lucina Q.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Background: Current diagnostic systems for neurodevelopmental disorders do not have clear links to underlying neurobiology, limiting their utility in identifying targeted treatments for individuals. Here, we aimed to investigate differences in functional brain network integrity between traditional diagnostic categories (autism spectrum disorder [ASD], attention-deficit/hyperactivity disorder [ADHD], typically developing [TD]) and carefully consider the impact of comorbid ASD and ADHD on functional brain network integrity in a sample adequately powered to detect large effects. We also assess the neurobiological separability of a novel, potential alternative categorical scheme based on behavioral measures of executive function. Method: Five-minute resting-state fMRI data were obtained from 168 children (128 boys, 40 girls) with ASD, ADHD, comorbid ASD and ADHD, and TD children. Independent component analysis and dual regression were used to compute within- and between-network functional connectivity metrics at the individual level. Results: No significant group differences in within- or between-network functional connectivity were observed between traditional diagnostic categories (ASD, ADHD, TD) even when stratified by comorbidity (ASD + ADHD, ASD, ADHD, TD). Similarly, subgroups classified by executive functioning levels showed no group differences. Conclusions: Using clinical diagnosis and behavioral measures of executive function, no differences in functional connectivity were observed among the categories examined. Despite our limited ability to detect small- to medium-sized differences between groups, this work contributes to a growing literature suggesting that traditional diagnostic categories do not define neurobiologically separable groups. Future work is necessary to ascertain the validity of the executive function-based nosology, but current results suggest that nosologies reliant on behavioral data alone may not lead to discovery of neurobiologically distinct categories.

AB - Background: Current diagnostic systems for neurodevelopmental disorders do not have clear links to underlying neurobiology, limiting their utility in identifying targeted treatments for individuals. Here, we aimed to investigate differences in functional brain network integrity between traditional diagnostic categories (autism spectrum disorder [ASD], attention-deficit/hyperactivity disorder [ADHD], typically developing [TD]) and carefully consider the impact of comorbid ASD and ADHD on functional brain network integrity in a sample adequately powered to detect large effects. We also assess the neurobiological separability of a novel, potential alternative categorical scheme based on behavioral measures of executive function. Method: Five-minute resting-state fMRI data were obtained from 168 children (128 boys, 40 girls) with ASD, ADHD, comorbid ASD and ADHD, and TD children. Independent component analysis and dual regression were used to compute within- and between-network functional connectivity metrics at the individual level. Results: No significant group differences in within- or between-network functional connectivity were observed between traditional diagnostic categories (ASD, ADHD, TD) even when stratified by comorbidity (ASD + ADHD, ASD, ADHD, TD). Similarly, subgroups classified by executive functioning levels showed no group differences. Conclusions: Using clinical diagnosis and behavioral measures of executive function, no differences in functional connectivity were observed among the categories examined. Despite our limited ability to detect small- to medium-sized differences between groups, this work contributes to a growing literature suggesting that traditional diagnostic categories do not define neurobiologically separable groups. Future work is necessary to ascertain the validity of the executive function-based nosology, but current results suggest that nosologies reliant on behavioral data alone may not lead to discovery of neurobiologically distinct categories.

KW - ADHD

KW - ASD

KW - DSM

KW - Functional connectivity

KW - Nosology

KW - Research domain criteria

UR - http://www.scopus.com/inward/record.url?scp=85060619077&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85060619077&partnerID=8YFLogxK

U2 - 10.1016/j.nicl.2019.101678

DO - 10.1016/j.nicl.2019.101678

M3 - Article

VL - 21

JO - NeuroImage: Clinical

JF - NeuroImage: Clinical

SN - 2213-1582

M1 - 101678

ER -