OBJECTIVE: The infant temperament behavioral inhibition is a potent risk factor for development of an anxiety disorder. It is difficult to predict risk for behavioral inhibition at birth, however, and the neural underpinnings are poorly understood. The authors hypothesized that neonatal functional connectivity of the ventral attention network is related to behavioral inhibition at age 2 years beyond sociodemographic and familial factors. This hypothesis is supported by the ventral attention network's role in attention to novelty, a key feature of behavioral inhibition. METHOD: Using a longitudinal design (N=45), the authors measured functional connectivity using MRI in neonates and behavioral inhibition at age 2 using the Infant-Toddler Social and Emotional Assessment. Whole-brain connectivity maps were computed for regions from the ventral attention, default mode, and salience networks. Regression analyses related these maps to behavioral inhibition at age 2, covarying for sex, social risk, and motion during scanning. RESULTS: Decreased neonatal functional connectivity of three connections was associated with increased behavioral inhibition at age 2. One connection (between the right ventrolateral prefrontal cortex and the right temporal-parietal junction) included the ventral attention network seed, and two connections (between the medial prefrontal cortex and both the right superior parietal lobule and the left lateral occipital cortex) included the default mode network seed. CONCLUSIONS: Neonatal functional connectivity of the ventral attention and default mode networks is associated with behavioral inhibition at age 2. These results inform the developmental neurobiology of behavioral inhibition and anxiety disorders and may aid in early risk assessment and intervention.
OBJECTIVE: The infant temperament behavioral inhibition is a potent risk factor for development of an anxiety disorder. It is difficult to predict risk for behavioral inhibition at birth, however, and the neural underpinnings are poorly understood. The authors hypothesized that neonatal functional connectivity of the ventral attention network is related to behavioral inhibition at age 2 years beyond sociodemographic and familial factors. This hypothesis is supported by the ventral attention network's role in attention to novelty, a key feature of behavioral inhibition. METHOD: Using a longitudinal design (N=45), the authors measured functional connectivity using MRI in neonates and behavioral inhibition at age 2 using the Infant-Toddler Social and Emotional Assessment. Whole-brain connectivity maps were computed for regions from the ventral attention, default mode, and salience networks. Regression analyses related these maps to behavioral inhibition at age 2, covarying for sex, social risk, and motion during scanning. RESULTS: Decreased neonatal functional connectivity of three connections was associated with increased behavioral inhibition at age 2. One connection (between the right ventrolateral prefrontal cortex and the right temporal-parietal junction) included the ventral attention network seed, and two connections (between the medial prefrontal cortex and both the right superior parietal lobule and the left lateral occipital cortex) included the default mode network seed. CONCLUSIONS: Neonatal functional connectivity of the ventral attention and default mode networks is associated with behavioral inhibition at age 2. These results inform the developmental neurobiology of behavioral inhibition and anxiety disorders and may aid in early risk assessment and intervention.
Authors: Amanda E Guyer; Brenda Benson; Victoria R Choate; Yair Bar-Haim; Koraly Perez-Edgar; Johanna M Jarcho; Daniel S Pine; Monique Ernst; Nathan A Fox; Eric E Nelson Journal: Dev Psychopathol Date: 2014-02
Authors: Ronald C Kessler; Patricia Berglund; Olga Demler; Robert Jin; Kathleen R Merikangas; Ellen E Walters Journal: Arch Gen Psychiatry Date: 2005-06
Authors: Christopher D Smyser; Nico U F Dosenbach; Tara A Smyser; Abraham Z Snyder; Cynthia E Rogers; Terrie E Inder; Bradley L Schlaggar; Jeffrey J Neil Journal: Neuroimage Date: 2016-05-11 Impact factor: 6.556
Authors: Christopher S Monk; Eric E Nelson; Erin B McClure; Karin Mogg; Brendan P Bradley; Ellen Leibenluft; R James R Blair; Gang Chen; Dennis S Charney; Monique Ernst; Daniel S Pine Journal: Am J Psychiatry Date: 2006-06 Impact factor: 18.112
Authors: Chad M Sylvester; Deanna M Barch; Michael P Harms; Andy C Belden; Timothy J Oakberg; Andrea L Gold; Lauren K White; Brenda E Benson; Sonya Troller-Renfree; Kathryn A Degnan; Heather A Henderson; Joan L Luby; Nathan A Fox; Daniel S Pine Journal: J Am Acad Child Adolesc Psychiatry Date: 2015-11-26 Impact factor: 8.829
Authors: Joan Luby; Norrina Allen; Ryne Estabrook; Daniel S Pine; Cynthia Rogers; Sheila Krogh-Jespersen; Elizabeth S Norton; Lauren Wakschlag Journal: Behav Res Ther Date: 2019-09-26
Authors: Nathan A Fox; George A Buzzell; Santiago Morales; Emilio A Valadez; McLennon Wilson; Heather A Henderson Journal: Biol Psychiatry Date: 2020-10-10 Impact factor: 13.382
Authors: Mary L Phillips; Vincent J Schmithorst; Layla Banihashemi; Megan Taylor; Alyssa Samolyk; Jessie B Northrup; Gabrielle E English; Amelia Versace; Richelle S Stiffler; Haris A Aslam; Lisa Bonar; Ashok Panigrahy; Alison E Hipwell Journal: Biol Psychiatry Date: 2021-03-26 Impact factor: 12.810
Authors: Chad M Sylvester; Michael J Myers; Michael T Perino; Sydney Kaplan; Jeanette K Kenley; Tara A Smyser; Barbara B Warner; Deanna M Barch; Daniel S Pine; Joan L Luby; Cynthia E Rogers; Christopher D Smyser Journal: Am J Psychiatry Date: 2021-04-26 Impact factor: 19.242
Authors: Courtney A Filippi; Sanjana Ravi; Maya Bracy; Anderson Winkler; Chad M Sylvester; Daniel S Pine; Nathan A Fox Journal: J Am Acad Child Adolesc Psychiatry Date: 2020-12-29 Impact factor: 13.113
Authors: Eric T Dobson; Paul E Croarkin; Heidi K Schroeder; Sara T Varney; Sarah A Mossman; Kim Cecil; Jeffrey R Strawn Journal: J Affect Disord Date: 2020-11-11 Impact factor: 4.839