Literature DB >> 30516853

Developmental changes in resting-state functional networks among individuals with and without internalizing psychopathologies.

Katie L Burkhouse1, Jonathan P Stange1, Rachel H Jacobs1, Runa Bhaumik1, Katie L Bessette1,2, Amy T Peters1,2, Natania A Crane1, Kayla A Kreutzer1, Kate Fitzgerald3, Christopher S Monk4, Robert C Welsh5, K Luan Phan1,2,6,7, Scott A Langenecker1,2,5.   

Abstract

BACKGROUND: Three well-established intrinsic connectivity networks (ICNs) involved in cognitive-affective processing include the cognitive control network (CCN), default mode network (DMN), and salience and emotional network (SEN). Despite recent advances in understanding developmental changes in these ICNs, the majority of research has focused on single seeds or networks in isolation with limited age ranges. Additionally, although internalizing psychopathologies (IPs), such as anxiety and depression, are often characterized by maladaptive cognitive-affective processing styles, it is not clear how IP history influences age-related changes in brain networks.
METHOD: The current study aimed to characterize the normative development of the CCN, DMN, and SEN across a large age-span (7-29 year olds) of typically developing (TD) individuals (n = 97). We also explore how age may impact differences in network connectivity between TD individuals and patients with IPs (n = 136).
RESULTS: Among TD individuals, DMN and CCN connectivity strengthened with age, whereas connectivity between the SEN and ventromedial prefrontal cortex weakened across development. When exploring group (IP vs. TD) differences, the IP group was characterized by greater connectivity between the CCN and cerebellum and between the SEN and caudate from childhood to early adulthood, relative to TD individuals. In addition, patients with IPs, versus TD individuals, exhibited reduced connectivity between the SEN and medial frontal gyrus from adolescence to adulthood.
CONCLUSIONS: The current findings shed light on differential age-related changes in brain network patterns among psychiatrically free, TD individuals and those with internalizing disorders, and may provide plausible targets for novel mechanism-based treatments that differ based on developmental stage.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  age; anxiety; depression; development; internalizing psychopathologies; intrinsic connectivity networks (ICN)

Mesh:

Year:  2018        PMID: 30516853      PMCID: PMC6519436          DOI: 10.1002/da.22864

Source DB:  PubMed          Journal:  Depress Anxiety        ISSN: 1091-4269            Impact factor:   6.505


  73 in total

1.  Maturation of widely distributed brain function subserves cognitive development.

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Journal:  Neuroimage       Date:  2001-05       Impact factor: 6.556

2.  A default mode of brain function.

Authors:  M E Raichle; A M MacLeod; A Z Snyder; W J Powers; D A Gusnard; G L Shulman
Journal:  Proc Natl Acad Sci U S A       Date:  2001-01-16       Impact factor: 11.205

3.  Development of the corpus callosum in childhood, adolescence and early adulthood.

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Journal:  Life Sci       Date:  2002-03-08       Impact factor: 5.037

4.  Dissociable intrinsic connectivity networks for salience processing and executive control.

Authors:  William W Seeley; Vinod Menon; Alan F Schatzberg; Jennifer Keller; Gary H Glover; Heather Kenna; Allan L Reiss; Michael D Greicius
Journal:  J Neurosci       Date:  2007-02-28       Impact factor: 6.167

Review 5.  Neuroimaging and neuropathological studies of depression: implications for the cognitive-emotional features of mood disorders.

Authors:  W C Drevets
Journal:  Curr Opin Neurobiol       Date:  2001-04       Impact factor: 6.627

6.  Depression duration but not age predicts hippocampal volume loss in medically healthy women with recurrent major depression.

Authors:  Y I Sheline; M Sanghavi; M A Mintun; M H Gado
Journal:  J Neurosci       Date:  1999-06-15       Impact factor: 6.167

7.  Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication.

Authors:  Ronald C Kessler; Patricia Berglund; Olga Demler; Robert Jin; Kathleen R Merikangas; Ellen E Walters
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8.  Larger amygdala volumes in first depressive episode as compared to recurrent major depression and healthy control subjects.

Authors:  Thomas Frodl; Eva Maria Meisenzahl; Thomas Zetzsche; Christine Born; Markus Jäger; Constanze Groll; Ronald Bottlender; Gerda Leinsinger; Hans-Jürgen Möller
Journal:  Biol Psychiatry       Date:  2003-02-15       Impact factor: 13.382

9.  Three traditional and three new childhood anxiety questionnaires: their reliability and validity in a normal adolescent sample.

Authors:  Peter Muris; Harald Merckelbach; Thomas Ollendick; Neville King; Nicole Bogie
Journal:  Behav Res Ther       Date:  2002-07

10.  Course of illness, hippocampal function, and hippocampal volume in major depression.

Authors:  Glenda M MacQueen; Stephanie Campbell; Bruce S McEwen; Kathryn Macdonald; Shigeko Amano; Russell T Joffe; Claude Nahmias; L Trevor Young
Journal:  Proc Natl Acad Sci U S A       Date:  2003-01-24       Impact factor: 11.205

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Review 1.  A Lifespan Model of Interference Resolution and Inhibitory Control: Risk for Depression and Changes with Illness Progression.

Authors:  Katie L Bessette; Aimee J Karstens; Natania A Crane; Amy T Peters; Jonathan P Stange; Kathleen H Elverman; Sarah Shizuko Morimoto; Sara L Weisenbach; Scott A Langenecker
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2.  An Interactive Developmental Neuroscience Perspective on Adolescent Resilience to Familial Depression.

Authors:  Katie L Bessette; Katie L Burkhouse; Scott A Langenecker
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3.  Age differences in electrocortical reactivity to fearful faces following aversive conditioning in youth.

Authors:  Katie L Burkhouse; Max Owens; Kiera James; Brandon E Gibb
Journal:  J Exp Child Psychol       Date:  2019-09-06

4.  Anticipation of monetary reward in amygdala, insula, caudate are predictors of pleasure sensitivity to d-Amphetamine administration.

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Journal:  Drug Alcohol Depend       Date:  2019-11-07       Impact factor: 4.492

5.  Coordination between frontolimbic resting state connectivity and hypothalamic-pituitary-adrenal axis functioning in adolescents with and without depression.

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Journal:  Psychoneuroendocrinology       Date:  2020-12-28       Impact factor: 4.905

Review 6.  Research Review: Brain network connectivity and the heterogeneity of depression in adolescence - a precision mental health perspective.

Authors:  Rajpreet Chahal; Ian H Gotlib; Amanda E Guyer
Journal:  J Child Psychol Psychiatry       Date:  2020-05-26       Impact factor: 8.982

7.  Neural connectivity biotypes: associations with internalizing problems throughout adolescence.

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8.  Using Network Parcels and Resting-State Networks to Estimate Correlates of Mood Disorder and Related Research Domain Criteria Constructs of Reward Responsiveness and Inhibitory Control.

Authors:  Scott A Langenecker; Mindy Westlund Schreiner; Leah R Thomas; Katie L Bessette; Sophia R DelDonno; Lisanne M Jenkins; Rebecca E Easter; Jonathan P Stange; Stephanie L Pocius; Alina Dillahunt; Tiffany M Love; K Luan Phan; Vincent Koppelmans; Martin Paulus; Martin A Lindquist; Brian Caffo; Brian J Mickey; Robert C Welsh
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  8 in total

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