OBJECTIVE: Many studies have linked the structure and function of frontostriatal circuitry to cognitive control deficits in attention deficit hyperactivity disorder (ADHD). Few studies have examined the role of white matter tracts between these structures or the extent to which white matter tract myelination and regularity correlate in family members with the disorder. METHOD: Functional imaging maps from a go/nogo task were used to identify portions of the ventral prefrontal cortex and striatum involved in suppressing an inappropriate action (i.e., cognitive control) in 30 parent-child dyads (N=60), including 20 dyads (N=40) with ADHD and 10 dyads (N=20) without ADHD. An automated fiber-tracking algorithm was used to delineate white matter fibers adjacent to these functionally defined regions based on diffusion tensor images. Fractional anisotropy, an index of white matter tract myelination and regularity derived from diffusion tensor images, was calculated to characterize the associations between white matter tracts and function. RESULTS: Fractional anisotropy in right prefrontal fiber tracts correlated with both functional activity in the inferior frontal gyrus and caudate nucleus and performance of a go/nogo task in parent-child dyads with ADHD, even after controlling for age. Prefrontal fiber tract measures were tightly associated between ADHD parents and their children. CONCLUSIONS: Collectively, these findings support previous studies suggesting heritability of frontostriatal structures among individuals with ADHD and suggest disruption in frontostriatal white matter tracts as one possible pathway to the disorder.
OBJECTIVE: Many studies have linked the structure and function of frontostriatal circuitry to cognitive control deficits in attention deficit hyperactivity disorder (ADHD). Few studies have examined the role of white matter tracts between these structures or the extent to which white matter tract myelination and regularity correlate in family members with the disorder. METHOD: Functional imaging maps from a go/nogo task were used to identify portions of the ventral prefrontal cortex and striatum involved in suppressing an inappropriate action (i.e., cognitive control) in 30 parent-child dyads (N=60), including 20 dyads (N=40) with ADHD and 10 dyads (N=20) without ADHD. An automated fiber-tracking algorithm was used to delineate white matter fibers adjacent to these functionally defined regions based on diffusion tensor images. Fractional anisotropy, an index of white matter tract myelination and regularity derived from diffusion tensor images, was calculated to characterize the associations between white matter tracts and function. RESULTS: Fractional anisotropy in right prefrontal fiber tracts correlated with both functional activity in the inferior frontal gyrus and caudate nucleus and performance of a go/nogo task in parent-child dyads with ADHD, even after controlling for age. Prefrontal fiber tract measures were tightly associated between ADHD parents and their children. CONCLUSIONS: Collectively, these findings support previous studies suggesting heritability of frontostriatal structures among individuals with ADHD and suggest disruption in frontostriatal white matter tracts as one possible pathway to the disorder.
Authors: Walter Mischel; Ozlem Ayduk; Marc G Berman; B J Casey; Ian H Gotlib; John Jonides; Ethan Kross; Theresa Teslovich; Nicole L Wilson; Vivian Zayas; Yuichi Shoda Journal: Soc Cogn Affect Neurosci Date: 2010-09-19 Impact factor: 3.436
Authors: Katie A McLaughlin; Margaret A Sheridan; Warren Winter; Nathan A Fox; Charles H Zeanah; Charles A Nelson Journal: Biol Psychiatry Date: 2013-10-03 Impact factor: 13.382
Authors: T Sigi Hale; Susan L Smalley; Jeff Dang; Grant Hanada; James Macion; James T McCracken; James J McGough; Sandra K Loo Journal: J Psychiatr Res Date: 2009-12-16 Impact factor: 4.791
Authors: Katherine E Lawrence; Jennifer G Levitt; Sandra K Loo; Ronald Ly; Victor Yee; Joseph O'Neill; Jeffry Alger; Katherine L Narr Journal: J Am Acad Child Adolesc Psychiatry Date: 2013-03-07 Impact factor: 8.829