Literature DB >> 25943422

Brain structure-function associations in multi-generational families genetically enriched for bipolar disorder.

Scott C Fears1, Remmelt Schür2, Rachel Sjouwerman3, Susan K Service4, Carmen Araya5, Xinia Araya5, Julio Bejarano5, Emma Knowles6, Juliana Gomez-Makhinson4, Maria C Lopez7, Ileana Aldana4, Terri M Teshiba4, Zvart Abaryan4, Noor B Al-Sharif4, Linda Navarro4, Todd A Tishler4, Lori Altshuler4, George Bartzokis4, Javier I Escobar8, David C Glahn6, Paul M Thompson4, Carlos Lopez-Jaramillo7, Gabriel Macaya5, Julio Molina9, Victor I Reus10, Chiara Sabatti11, Rita M Cantor12, Nelson B Freimer4, Carrie E Bearden4.   

Abstract

Recent theories regarding the pathophysiology of bipolar disorder suggest contributions of both neurodevelopmental and neurodegenerative processes. While structural neuroimaging studies indicate disease-associated neuroanatomical alterations, the behavioural correlates of these alterations have not been well characterized. Here, we investigated multi-generational families genetically enriched for bipolar disorder to: (i) characterize neurobehavioural correlates of neuroanatomical measures implicated in the pathophysiology of bipolar disorder; (ii) identify brain-behaviour associations that differ between diagnostic groups; (iii) identify neurocognitive traits that show evidence of accelerated ageing specifically in subjects with bipolar disorder; and (iv) identify brain-behaviour correlations that differ across the age span. Structural neuroimages and multi-dimensional assessments of temperament and neurocognition were acquired from 527 (153 bipolar disorder and 374 non-bipolar disorder) adults aged 18-87 years in 26 families with heavy genetic loading for bipolar disorder. We used linear regression models to identify significant brain-behaviour associations and test whether brain-behaviour relationships differed: (i) between diagnostic groups; and (ii) as a function of age. We found that total cortical and ventricular volume had the greatest number of significant behavioural associations, and included correlations with measures from multiple cognitive domains, particularly declarative and working memory and executive function. Cortical thickness measures, in contrast, showed more specific associations with declarative memory, letter fluency and processing speed tasks. While the majority of brain-behaviour relationships were similar across diagnostic groups, increased cortical thickness in ventrolateral prefrontal and parietal cortical regions was associated with better declarative memory only in bipolar disorder subjects, and not in non-bipolar disorder family members. Additionally, while age had a relatively strong impact on all neurocognitive traits, the effects of age on cognition did not differ between diagnostic groups. Most brain-behaviour associations were also similar across the age range, with the exception of cortical and ventricular volume and lingual gyrus thickness, which showed weak correlations with verbal fluency and inhibitory control at younger ages that increased in magnitude in older subjects, regardless of diagnosis. Findings indicate that neuroanatomical traits potentially impacted by bipolar disorder are significantly associated with multiple neurobehavioural domains. Structure-function relationships are generally preserved across diagnostic groups, with the notable exception of ventrolateral prefrontal and parietal association cortex, volumetric increases in which may be associated with cognitive resilience specifically in individuals with bipolar disorder. Although age impacted all neurobehavioural traits, we did not find any evidence of accelerated cognitive decline specific to bipolar disorder subjects. Regardless of diagnosis, greater global brain volume may represent a protective factor for the effects of ageing on executive functioning.
© The Author (2015). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  bipolar disorder; component phenotype; neurocognition; pedigrees; structural MRI; temperament

Mesh:

Year:  2015        PMID: 25943422      PMCID: PMC4572484          DOI: 10.1093/brain/awv106

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  70 in total

1.  Relationships between IQ and regional cortical gray matter thickness in healthy adults.

Authors:  Katherine L Narr; Roger P Woods; Paul M Thompson; Philip Szeszko; Delbert Robinson; Teodora Dimtcheva; Mala Gurbani; Arthur W Toga; Robert M Bilder
Journal:  Cereb Cortex       Date:  2006-11-21       Impact factor: 5.357

Review 2.  Normal brain aging clinical, immunological, neuropsychological, and neuroimaging features.

Authors:  Maria T Caserta; Yvonne Bannon; Francisco Fernandez; Brian Giunta; Mike R Schoenberg; Jun Tan
Journal:  Int Rev Neurobiol       Date:  2009       Impact factor: 3.230

3.  Body mass index-related regional gray and white matter volume reductions in first-episode mania patients.

Authors:  David J Bond; Tae Hyon Ha; Donna J Lang; Wayne Su; Ivan J Torres; William G Honer; Raymond W Lam; Lakshmi N Yatham
Journal:  Biol Psychiatry       Date:  2013-10-09       Impact factor: 13.382

4.  An approach to investigating linkage for bipolar disorder using large Costa Rican pedigrees.

Authors:  N B Freimer; V I Reus; M Escamilla; M Spesny; L Smith; S Service; A Gallegos; L Meza; S Batki; S Vinogradov; P Leon; L A Sandkuijl
Journal:  Am J Med Genet       Date:  1996-05-31

5.  A meta-analysis of cognitive deficits in euthymic patients with bipolar disorder.

Authors:  Lucy J Robinson; Jill M Thompson; Peter Gallagher; Utpal Goswami; Allan H Young; I Nicol Ferrier; P Brian Moore
Journal:  J Affect Disord       Date:  2006-03-06       Impact factor: 4.839

6.  Relation of regional gray and white matter volumes to current BMI and future increases in BMI: a prospective MRI study.

Authors:  S Yokum; J Ng; E Stice
Journal:  Int J Obes (Lond)       Date:  2011-09-06       Impact factor: 5.095

7.  Genetic demography of Antioquia (Colombia) and the Central Valley of Costa Rica.

Authors:  Luis G Carvajal-Carmona; Roel Ophoff; Susan Service; Jaana Hartiala; Julio Molina; Pedro Leon; Jorge Ospina; Gabriel Bedoya; Nelson Freimer; Andrés Ruiz-Linares
Journal:  Hum Genet       Date:  2003-02-25       Impact factor: 4.132

8.  Neuroanatomical Correlates of Intelligence.

Authors:  Eileen Luders; Katherine L Narr; Paul M Thompson; Arthur W Toga
Journal:  Intelligence       Date:  2009-03-01

Review 9.  Staging systems in bipolar disorder: an International Society for Bipolar Disorders Task Force Report.

Authors:  F Kapczinski; P V S Magalhães; V Balanzá-Martinez; V V Dias; S Frangou; C S Gama; A Gonzalez-Pinto; I Grande; K Ha; M Kauer-Sant'Anna; M Kunz; R Kupka; M Leboyer; C Lopez-Jaramillo; R M Post; J K Rybakowski; J Scott; S Strejilevitch; M Tohen; G Vazquez; L Yatham; E Vieta; M Berk
Journal:  Acta Psychiatr Scand       Date:  2014-06-25       Impact factor: 6.392

Review 10.  All the world's a (clinical) stage: rethinking bipolar disorder from a longitudinal perspective.

Authors:  E Frank; V L Nimgaonkar; M L Phillips; D J Kupfer
Journal:  Mol Psychiatry       Date:  2014-07-22       Impact factor: 15.992

View more
  13 in total

1.  Expanding the phenotype half of the genotype-phenotype space.

Authors:  Maja Bućan
Journal:  Proc Natl Acad Sci U S A       Date:  2016-01-29       Impact factor: 11.205

2.  Brain structure, cognition, and brain age in schizophrenia, bipolar disorder, and healthy controls.

Authors:  Saba Shahab; Benoit H Mulsant; Melissa L Levesque; Navona Calarco; Arash Nazeri; Anne L Wheeler; George Foussias; Tarek K Rajji; Aristotle N Voineskos
Journal:  Neuropsychopharmacology       Date:  2018-12-20       Impact factor: 7.853

Review 3.  Genetic substrates of bipolar disorder risk in Latino families.

Authors:  Michael Escamilla; Camille Merhi
Journal:  Mol Psychiatry       Date:  2022-08-10       Impact factor: 13.437

4.  Multivariate Relationships Between Cognition and Brain Anatomy Across the Psychosis Spectrum.

Authors:  Amanda L Rodrigue; Jennifer E McDowell; Neeraj Tandon; Matcheri S Keshavan; Carol A Tamminga; Godfrey D Pearlson; John A Sweeney; Robert D Gibbons; Brett A Clementz
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2018-03-31

5.  Cortical thickness, volume and surface area in patients with bipolar disorder types I and II.

Authors:  Christoph Abé; Carl-Johan Ekman; Carl Sellgren; Predrag Petrovic; Martin Ingvar; Mikael Landén
Journal:  J Psychiatry Neurosci       Date:  2016-06       Impact factor: 6.186

6.  Genome-wide mapping of brain phenotypes in extended pedigrees with strong genetic loading for bipolar disorder.

Authors:  Scott C Fears; Susan K Service; Barbara Kremeyer; Carmen Araya; Xinia Araya; Julio Bejarano; Margarita Ramirez; Gabriel Castrillón; Juliana Gomez-Franco; Maria C Lopez; Gabriel Montoya; Patricia Montoya; Ileana Aldana; Terri M Teshiba; Noor B Al-Sharif; Maria Jalbrzikowski; Todd A Tishler; Javier Escobar; Andrés Ruiz-Linares; Carlos Lopez-Jaramillo; Gabriel Macaya; Julio Molina; Victor I Reus; Rita M Cantor; Chiara Sabatti; Nelson B Freimer; Carrie E Bearden
Journal:  Mol Psychiatry       Date:  2020-06-30       Impact factor: 15.992

7.  A Multi-Dimensional and Integrative Approach to Examining the High-Risk and Ultra-High-Risk Stages of Bipolar Disorder.

Authors:  Kangguang Lin; Guiyun Xu; Nichol M L Wong; Huawang Wu; Ting Li; Weicong Lu; Kun Chen; Xiaodong Chen; Bingyin Lai; Liuxia Zhong; Kwok-Fai So; Tatia M C Lee
Journal:  EBioMedicine       Date:  2015-07-10       Impact factor: 8.143

Review 8.  Neurobiology of Risk for Bipolar Disorder.

Authors:  Ayşegül Özerdem; Deniz Ceylan; Güneş Can
Journal:  Curr Treat Options Psychiatry       Date:  2016-10-20

9.  Aberrant Neural Activity in Patients With Bipolar Depressive Disorder Distinguishing to the Unipolar Depressive Disorder: A Resting-State Functional Magnetic Resonance Imaging Study.

Authors:  Meihui Qiu; Huifeng Zhang; David Mellor; Jun Shi; Chuangxin Wu; Yueqi Huang; Jianye Zhang; Ting Shen; Daihui Peng
Journal:  Front Psychiatry       Date:  2018-06-05       Impact factor: 4.157

10.  Rostral Middle Frontal Volumetric Differences in Bipolar Offspring versus Community Controls Offspring.

Authors:  Juan David Palacio-Ortiz; María Alejandra Gómez-Valero; Paula Andrea Bustamante-Gómez; Pilar Helena Arroyave-Sierra; Cristian David Vargas-Upeguí; Julián Pineda-Zapata; Gabriel Castrillón; Daniel Camilo Aguirre-Acevedo; Carlos López-Jaramillo
Journal:  Int J Psychol Res (Medellin)       Date:  2019 Jul-Dec
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.