Literature DB >> 27665062

The association of antipsychotic medication and lithium with brain measures in patients with bipolar disorder.

Lucija Abramovic1, Marco P M Boks1, Annabel Vreeker1, Diandra C Bouter1, Caitlyn Kruiper1, Sanne Verkooijen1, Annet H van Bergen1, Roel A Ophoff2, René S Kahn1, Neeltje E M van Haren1.   

Abstract

There is evidence that brain structure is abnormal in patients with bipolar disorder. Lithium intake appears to ׳normalise׳ global and local brain volumes, but effects of antipsychotic medication on brain volume or cortical thickness are less clear. Here, we aim to disentangle disease-specific brain deviations from those induced by antipsychotic medication and lithium intake using a large homogeneous sample of patients with bipolar disorder type I. Magnetic resonance imaging brain scans were obtained from 266 patients and 171 control subjects. Subcortical volumes and global and focal cortical measures (volume, thickness, and surface area) were compared between patients and controls. In patients, the association between lithium and antipsychotic medication intake and global, subcortical and cortical measures was investigated. Patients showed significantly larger lateral and third ventricles, smaller total brain, caudate nucleus, and pallidum volumes and thinner cortex in some small clusters in frontal, parietal and cingulate regions as compared with controls. Lithium-free patients had significantly smaller total brain, thalamus, putamen, pallidum, hippocampus and accumbens volumes compared to patients on lithium. In patients, use of antipsychotic medication was related to larger third ventricle and smaller hippocampus and supramarginal cortex volume. Patients with bipolar disorder show abnormalities in total brain, subcortical, and ventricle volume, particularly in the nucleus caudate and pallidum. Abnormalities in cortical thickness were scattered and clusters were relatively small. Lithium-free patients showed more pronounced abnormalities as compared with those on lithium. The associations between antipsychotic medication and brain volume are subtle and less pronounced than those of lithium.
Copyright © 2016 Elsevier B.V. and ECNP. All rights reserved.

Entities:  

Keywords:  Antipsychotics; Bipolar disorder; Lithium; Structural neuroimaging

Mesh:

Substances:

Year:  2016        PMID: 27665062     DOI: 10.1016/j.euroneuro.2016.09.371

Source DB:  PubMed          Journal:  Eur Neuropsychopharmacol        ISSN: 0924-977X            Impact factor:   4.600


  11 in total

1.  Multivariate Associations Among Behavioral, Clinical, and Multimodal Imaging Phenotypes in Patients With Psychosis.

Authors:  Dominik A Moser; Gaelle E Doucet; Won Hee Lee; Alexander Rasgon; Hannah Krinsky; Evan Leibu; Alex Ing; Gunter Schumann; Natalie Rasgon; Sophia Frangou
Journal:  JAMA Psychiatry       Date:  2018-04-01       Impact factor: 21.596

2.  The relationship between brain volumes and intelligence in bipolar disorder.

Authors:  Annabel Vreeker; Lucija Abramovic; Marco P M Boks; Sanne Verkooijen; Annet H van Bergen; Roel A Ophoff; René S Kahn; Neeltje E M van Haren
Journal:  J Affect Disord       Date:  2017-07-06       Impact factor: 4.839

3.  Cortical Morphometry in the Psychosis Risk Period: A Comprehensive Perspective of Surface Features.

Authors:  Katherine S F Damme; Tina Gupta; Robin Nusslock; Jessica A Bernard; Joseph M Orr; Vijay A Mittal
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2018-01-31

4.  Brain grey-matter volume alteration in adult patients with bipolar disorder under different conditions: a voxel-based meta-analysis

Authors:  Xiuli Wang; Qiang Luo; Fangfang Tian; Bochao Cheng; Lihua Qiu; Song Wang; Manxi He; Hongming Wang; Mingjun Duan; Zhiyun Jia
Journal:  J Psychiatry Neurosci       Date:  2019-03-01       Impact factor: 6.186

5.  Person-based similarity in brain structure and functional connectivity in bipolar disorder.

Authors:  Gaelle E Doucet; David C Glahn; Sophia Frangou
Journal:  J Affect Disord       Date:  2020-07-13       Impact factor: 4.839

6.  Pattern recognition of magnetic resonance imaging-based gray matter volume measurements classifies bipolar disorder and major depressive disorder.

Authors:  Harry Rubin-Falcone; Francesca Zanderigo; Binod Thapa-Chhetry; Martin Lan; Jeffrey M Miller; M Elizabeth Sublette; Maria A Oquendo; David J Hellerstein; Patrick J McGrath; Johnathan W Stewart; J John Mann
Journal:  J Affect Disord       Date:  2017-11-13       Impact factor: 4.839

7.  White matter disruptions in patients with bipolar disorder.

Authors:  Lucija Abramovic; Marco P M Boks; Annabel Vreeker; Sanne Verkooijen; Annet H van Bergen; Roel A Ophoff; René S Kahn; Neeltje E M van Haren
Journal:  Eur Neuropsychopharmacol       Date:  2018-05-18       Impact factor: 4.600

8.  CACNA1C Risk Variant and Mood Stabilizers Effects in the Prefrontal Cortical Thickness of Mexican Patients with Bipolar Disorder.

Authors:  Alejandra Monserrat Rodríguez-Ramírez; Fátima Meza-Urzúa; Valente Cedillo-Ríos; Claudia Becerra-Palars; Joanna Jiménez-Pavón; Ingrid Pamela Morales-Cedillo; Marco Antonio Sanabrais-Jiménez; Sandra Hernández-Muñoz; Beatriz Camarena-Medellín
Journal:  Neuropsychiatr Dis Treat       Date:  2020-05-12       Impact factor: 2.570

9.  Functional connectome differences in individuals with hallucinations across the psychosis continuum.

Authors:  Maya J L Schutte; Marc M Bohlken; Guusje Collin; Lucija Abramovic; Marco P M Boks; Wiepke Cahn; Meenakshi Dauwan; Edwin van Dellen; Neeltje E M van Haren; Kenneth Hugdahl; Sanne Koops; René C W Mandl; Iris E C Sommer
Journal:  Sci Rep       Date:  2021-01-13       Impact factor: 4.379

Review 10.  What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group.

Authors:  Christopher R K Ching; Derrek P Hibar; Tiril P Gurholt; Abraham Nunes; Sophia I Thomopoulos; Christoph Abé; Ingrid Agartz; Rachel M Brouwer; Dara M Cannon; Sonja M C de Zwarte; Lisa T Eyler; Pauline Favre; Tomas Hajek; Unn K Haukvik; Josselin Houenou; Mikael Landén; Tristram A Lett; Colm McDonald; Leila Nabulsi; Yash Patel; Melissa E Pauling; Tomas Paus; Joaquim Radua; Marcio G Soeiro-de-Souza; Giulia Tronchin; Neeltje E M van Haren; Eduard Vieta; Henrik Walter; Ling-Li Zeng; Martin Alda; Jorge Almeida; Dag Alnaes; Silvia Alonso-Lana; Cara Altimus; Michael Bauer; Bernhard T Baune; Carrie E Bearden; Marcella Bellani; Francesco Benedetti; Michael Berk; Amy C Bilderbeck; Hilary P Blumberg; Erlend Bøen; Irene Bollettini; Caterina Del Mar Bonnin; Paolo Brambilla; Erick J Canales-Rodríguez; Xavier Caseras; Orwa Dandash; Udo Dannlowski; Giuseppe Delvecchio; Ana M Díaz-Zuluaga; Danai Dima; Édouard Duchesnay; Torbjørn Elvsåshagen; Scott C Fears; Sophia Frangou; Janice M Fullerton; David C Glahn; Jose M Goikolea; Melissa J Green; Dominik Grotegerd; Oliver Gruber; Bartholomeus C M Haarman; Chantal Henry; Fleur M Howells; Victoria Ives-Deliperi; Andreas Jansen; Tilo T J Kircher; Christian Knöchel; Bernd Kramer; Beny Lafer; Carlos López-Jaramillo; Rodrigo Machado-Vieira; Bradley J MacIntosh; Elisa M T Melloni; Philip B Mitchell; Igor Nenadic; Fabiano Nery; Allison C Nugent; Viola Oertel; Roel A Ophoff; Miho Ota; Bronwyn J Overs; Daniel L Pham; Mary L Phillips; Julian A Pineda-Zapata; Sara Poletti; Mircea Polosan; Edith Pomarol-Clotet; Arnaud Pouchon; Yann Quidé; Maria M Rive; Gloria Roberts; Henricus G Ruhe; Raymond Salvador; Salvador Sarró; Theodore D Satterthwaite; Aart H Schene; Kang Sim; Jair C Soares; Michael Stäblein; Dan J Stein; Christian K Tamnes; Georgios V Thomaidis; Cristian Vargas Upegui; Dick J Veltman; Michèle Wessa; Lars T Westlye; Heather C Whalley; Daniel H Wolf; Mon-Ju Wu; Lakshmi N Yatham; Carlos A Zarate; Paul M Thompson; Ole A Andreassen
Journal:  Hum Brain Mapp       Date:  2020-07-29       Impact factor: 5.399

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