Literature DB >> 22041532

Amygdalar, hippocampal, and thalamic volumes in youth at high risk for development of bipolar disorder.

Asya Karchemskiy1, Amy Garrett1, Meghan Howe2, Nancy Adleman2, Diana I Simeonova3, Dylan Alegria1, Allan Reiss1, Kiki Chang4.   

Abstract

Children of parents with bipolar disorder (BD), especially those with attention deficit hyperactivity disorder (ADHD) and symptoms of depression or mania, are at significantly high risk for developing BD. As we have previously shown amygdalar reductions in pediatric BD, the current study examined amygdalar volumes in offspring of parents (BD offspring) who have not yet developed a full manic episode. Youth participating in the study included 22 BD offspring and 22 healthy controls of comparable age, gender, handedness, and IQ. Subjects had no history of a manic episode, but met criteria for ADHD and moderate mood symptoms. MRI was performed on a 3T GE scanner, using a 3D volumetric spoiled gradient echo series. Amygdalae were manually traced using BrainImage Java software on positionally normalized brain stacks. Bipolar offspring had similar amygdalar volumes compared to the control group. Exploratory analyses yielded no differences in hippocampal or thalamic volumes. Bipolar offspring do not show decreased amygdalar volume, possibly because these abnormalities occur after more prolonged illness rather than as a preexisting risk factor. Longitudinal studies are needed to determine whether amygdalar volumes change during and after the development of BD. 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 22041532      PMCID: PMC3225692          DOI: 10.1016/j.pscychresns.2011.03.006

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  70 in total

1.  Resolving the discrepancy in childhood bipolar high-risk study findings.

Authors:  Anne Duffy; Paul Grof; Tomas Hajek; Martin Alda
Journal:  Am J Psychiatry       Date:  2010-06       Impact factor: 18.112

2.  Dissociable brain structural changes associated with predisposition, resilience, and disease expression in bipolar disorder.

Authors:  Matthew J Kempton; Morgan Haldane; Jigar Jogia; Paul M Grasby; David Collier; Sophia Frangou
Journal:  J Neurosci       Date:  2009-09-02       Impact factor: 6.167

3.  A preliminary evaluation of the validity of at-risk criteria for bipolar disorders in help-seeking adolescents and young adults.

Authors:  Andreas Bechdolf; Barnaby Nelson; Sue M Cotton; Andrew Chanen; Andrew Thompson; Jonathan Kettle; Phillippe Conus; G Paul Amminger; Alison R Yung; Michael Berk; Patrick D McGorry
Journal:  J Affect Disord       Date:  2010-07-08       Impact factor: 4.839

4.  Psychiatric disorders in preschool offspring of parents with bipolar disorder: the Pittsburgh Bipolar Offspring Study (BIOS).

Authors:  Boris Birmaher; David Axelson; Benjamin Goldstein; Kelly Monk; Catherine Kalas; Mihaela Obreja; Mary Beth Hickey; Satish Iyengar; David Brent; Wael Shamseddeen; Rasim Diler; David Kupfer
Journal:  Am J Psychiatry       Date:  2010-01-15       Impact factor: 18.112

5.  Amygdala and hippocampal volumes in relatives of patients with bipolar disorder: a high-risk study.

Authors:  Tomas Hajek; Eva Gunde; Claire Slaney; Lukas Propper; Glenda MacQueen; Anne Duffy; Martin Alda
Journal:  Can J Psychiatry       Date:  2009-11       Impact factor: 4.356

6.  Meta-analysis of amygdala volumes in children and adolescents with bipolar disorder.

Authors:  Jonathan C Pfeifer; Jeffrey Welge; Stephen M Strakowski; Caleb M Adler; Melissa P DelBello
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2008-11       Impact factor: 8.829

7.  Amygdala volumes in mood disorders--meta-analysis of magnetic resonance volumetry studies.

Authors:  Tomas Hajek; Miloslav Kopecek; Jiri Kozeny; Eva Gunde; Martin Alda; Cyril Höschl
Journal:  J Affect Disord       Date:  2008-11-18       Impact factor: 4.839

8.  Amygdala activation during emotion processing of neutral faces in children with severe mood dysregulation versus ADHD or bipolar disorder.

Authors:  Melissa A Brotman; Brendan A Rich; Amanda E Guyer; Jessica R Lunsford; Sarah E Horsey; Michelle M Reising; Laura A Thomas; Stephen J Fromm; Kenneth Towbin; Daniel S Pine; Ellen Leibenluft
Journal:  Am J Psychiatry       Date:  2009-11-16       Impact factor: 18.112

9.  Lifetime psychiatric disorders in school-aged offspring of parents with bipolar disorder: the Pittsburgh Bipolar Offspring study.

Authors:  Boris Birmaher; David Axelson; Kelly Monk; Catherine Kalas; Benjamin Goldstein; Mary Beth Hickey; Mihaela Obreja; Mary Ehmann; Satish Iyengar; Wael Shamseddeen; David Kupfer; David Brent
Journal:  Arch Gen Psychiatry       Date:  2009-03

Review 10.  Magnetic resonance imaging studies in bipolar disorder and schizophrenia: meta-analysis.

Authors:  Danilo Arnone; J Cavanagh; D Gerber; S M Lawrie; K P Ebmeier; A M McIntosh
Journal:  Br J Psychiatry       Date:  2009-09       Impact factor: 9.319

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  17 in total

1.  Characteristics of depression among offspring at high and low familial risk of bipolar disorder.

Authors:  Rasim Somer Diler; Tina R Goldstein; Danella Hafeman; Brian Thomas Rooks; Dara Sakolsky; Benjamin I Goldstein; Kelly Monk; Mary Beth Hickey; David Axelson; Satish Iyengar; Boris Birmaher
Journal:  Bipolar Disord       Date:  2017-06-14       Impact factor: 6.744

2.  Amygdala enlargement in unaffected offspring of bipolar parents.

Authors:  Isabelle E Bauer; Marsal Sanches; Robert Suchting; Charles E Green; Nadia M El Fangary; Giovana B Zunta-Soares; Jair C Soares
Journal:  J Psychiatr Res       Date:  2014-09-10       Impact factor: 4.791

3.  Brain structural signature of familial predisposition for bipolar disorder: replicable evidence for involvement of the right inferior frontal gyrus.

Authors:  Tomas Hajek; Jeffrey Cullis; Tomas Novak; Miloslav Kopecek; Ryan Blagdon; Lukas Propper; Pavla Stopkova; Anne Duffy; Cyril Hoschl; Rudolf Uher; Tomas Paus; L Trevor Young; Martin Alda
Journal:  Biol Psychiatry       Date:  2012-07-20       Impact factor: 13.382

Review 4.  Modeling psychiatric disorders at the cellular and network levels.

Authors:  K J Brennand; A Simone; N Tran; F H Gage
Journal:  Mol Psychiatry       Date:  2012-04-03       Impact factor: 15.992

5.  Clinical, Cognitive, and Neuroimaging Evidence of a Neurodevelopmental Continuum in Offspring of Probands With Schizophrenia and Bipolar Disorder.

Authors:  Gisela Sugranyes; Elena de la Serna; Roger Borras; Vanessa Sanchez-Gistau; Jose C Pariente; Soledad Romero; Inmaculada Baeza; Covadonga M Díaz-Caneja; Elisa Rodriguez-Toscano; Carmen Moreno; Miguel Bernardo; Dolores Moreno; Eduard Vieta; Josefina Castro-Fornieles
Journal:  Schizophr Bull       Date:  2017-10-21       Impact factor: 9.306

6.  Regionally specific increased volume of the amygdala in Williams syndrome: evidence from surface-based modeling.

Authors:  Brian W Haas; Kristen Sheau; Ryan G Kelley; Paul M Thompson; Allan L Reiss
Journal:  Hum Brain Mapp       Date:  2012-11-14       Impact factor: 5.038

Review 7.  Prevention of bipolar disorder in at-risk children: theoretical assumptions and empirical foundations.

Authors:  David J Miklowitz; Kiki D Chang
Journal:  Dev Psychopathol       Date:  2008

8.  Prediction of pediatric bipolar disorder using neuroanatomical signatures of the amygdala.

Authors:  Benson Mwangi; Danielle Spiker; Giovana B Zunta-Soares; Jair C Soares
Journal:  Bipolar Disord       Date:  2014-06-11       Impact factor: 6.744

9.  Gray matter volumes in symptomatic and asymptomatic offspring of parents diagnosed with bipolar disorder.

Authors:  Lindsay C Hanford; Geoffrey B Hall; Luciano Minuzzi; Roberto B Sassi
Journal:  Eur Child Adolesc Psychiatry       Date:  2016-01-14       Impact factor: 4.785

10.  Amygdala subnuclei and healthy cognitive aging.

Authors:  Arash Aghamohammadi-Sereshki; Stanislau Hrybouski; Scott Travis; Yushan Huang; Fraser Olsen; Rawle Carter; Richard Camicioli; Nikolai V Malykhin
Journal:  Hum Brain Mapp       Date:  2018-10-06       Impact factor: 5.038

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