Literature DB >> 35585125

Changes in the structural brain connectome over the course of a nonrandomized clinical trial for acute mania.

Du Lei1, Wenbin Li2,3,4, Maxwell J Tallman2, Stephen M Strakowski5, Melissa P DelBello2, L Rodrigo Patino2, David E Fleck2, Su Lui3, Qiyong Gong3, John A Sweeney2,3, Jeffrey R Strawn2, Fabiano G Nery2, Jeffrey A Welge2, Emily Rummelhoff2, Caleb M Adler2.   

Abstract

Disrupted topological organization of brain functional networks has been widely reported in bipolar disorder. However, the potential clinical implications of structural connectome abnormalities have not been systematically investigated. The present study included 109 unmedicated subjects with acute mania who were assigned to 8 weeks of treatment with quetiapine or lithium and 60 healthy controls. High resolution 3D-T1 weighted magnetic resonance images (MRI) were collected from both groups at baseline, week 1 and week 8. Brain networks were constructed based on the similarity of morphological features across brain regions and analyzed using graph theory approaches. At baseline, individuals with bipolar disorder illness showed significantly lower clustering coefficient (Cp) (p = 0.012) and normalized characteristic path length (λ) (p = 0.004) compared to healthy individuals, as well as differences in nodal centralities across multiple brain regions. No baseline or post-treatment differences were identified between drug treatment conditions, so change after treatment were considered in the combined treatment groups. Relative to healthy individuals, differences in Cp, λ and cingulate gyrus nodal centrality were significantly reduced with treatment; changes in these parameters correlated with changes in Young Mania Rating Scale scores. Baseline structural connectome matrices significantly differentiated responder and non-responder groups at 8 weeks with 74% accuracy. Global and nodal network alterations evident at baseline were normalized with treatment and these changes associated with symptomatic improvement. Further, baseline structural connectome matrices predicted treatment response. These findings suggest that structural connectome abnormalities are clinically significant and may be useful for predicting clinical outcome of treatment and tracking drug effects on brain anatomy in bipolar disorder. CLINICAL TRIALS REGISTRATION: Name: Functional and Neurochemical Brain Changes in First-episode Bipolar Mania Following Successful Treatment with Lithium or Quetiapine. URL: https://clinicaltrials.gov/ . REGISTRATION NUMBER: NCT00609193. Name: Neurofunctional and Neurochemical Markers of Treatment Response in Bipolar Disorder. URL: https://clinicaltrials.gov/ . REGISTRATION NUMBER: NCT00608075.
© 2022. The Author(s), under exclusive licence to American College of Neuropsychopharmacology.

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Year:  2022        PMID: 35585125      PMCID: PMC9485114          DOI: 10.1038/s41386-022-01328-y

Source DB:  PubMed          Journal:  Neuropsychopharmacology        ISSN: 0893-133X            Impact factor:   8.294


  58 in total

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Authors:  Terence A Ketter; Po W Wang
Journal:  J Clin Psychiatry       Date:  2002       Impact factor: 4.384

2.  Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version (K-SADS-PL): initial reliability and validity data.

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3.  Neurodegenerative diseases target large-scale human brain networks.

Authors:  William W Seeley; Richard K Crawford; Juan Zhou; Bruce L Miller; Michael D Greicius
Journal:  Neuron       Date:  2009-04-16       Impact factor: 17.173

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Journal:  Magn Reson Med       Date:  1995-09       Impact factor: 4.668

Review 5.  Common and distinct neural correlates of emotional processing in Bipolar Disorder and Major Depressive Disorder: a voxel-based meta-analysis of functional magnetic resonance imaging studies.

Authors:  Giuseppe Delvecchio; Philippe Fossati; Patrice Boyer; Paolo Brambilla; Peter Falkai; Oliver Gruber; Jarmo Hietala; Stephen M Lawrie; Jean-Luc Martinot; Andrew M McIntosh; Eva Meisenzahl; Sophia Frangou
Journal:  Eur Neuropsychopharmacol       Date:  2011-08-05       Impact factor: 4.600

6.  Brain morphometric features predict medication response in youth with bipolar disorder: a prospective randomized clinical trial.

Authors:  Du Lei; Kun Qin; Wenbin Li; Walter H L Pinaya; Maxwell J Tallman; L Rodrigo Patino; Jeffrey R Strawn; David Fleck; Christina C Klein; Su Lui; Qiyong Gong; Caleb M Adler; Andrea Mechelli; John A Sweeney; Melissa P DelBello
Journal:  Psychol Med       Date:  2022-04-08       Impact factor: 7.723

7.  Altered brain structural connectivity in post-traumatic stress disorder: a diffusion tensor imaging tractography study.

Authors:  Zhiliang Long; Xujun Duan; Bing Xie; Handan Du; Rong Li; Qiang Xu; Luqing Wei; Shao-xiang Zhang; Yi Wu; Qing Gao; Huafu Chen
Journal:  J Affect Disord       Date:  2013-05-17       Impact factor: 4.839

8.  Preprocessing strategy influences graph-based exploration of altered functional networks in major depression.

Authors:  Viola Borchardt; Anton Richard Lord; Meng Li; Johan van der Meer; Hans-Jochen Heinze; Bernhard Bogerts; Michael Breakspear; Martin Walter
Journal:  Hum Brain Mapp       Date:  2016-02-17       Impact factor: 5.038

9.  Brain gray matter network organization in psychotic disorders.

Authors:  Wenjing Zhang; Du Lei; Sarah K Keedy; Elena I Ivleva; Seenae Eum; Li Yao; Carol A Tamminga; Brett A Clementz; Matcheri S Keshavan; Godfrey D Pearlson; Elliot S Gershon; Jeffrey R Bishop; Qiyong Gong; Su Lui; John A Sweeney
Journal:  Neuropsychopharmacology       Date:  2019-12-07       Impact factor: 7.853

10.  Variation in rostral anterior cingulate functional connectivity with amygdala and caudate during first manic episode distinguish bipolar young adults who do not remit following treatment.

Authors:  Elizabeth T C Lippard; Wade Weber; Jeffrey Welge; Caleb M Adler; David E Fleck; Jorge Almeida; Melissa P DelBello; Stephen M Strakowski
Journal:  Bipolar Disord       Date:  2020-11-18       Impact factor: 5.345

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