Literature DB >> 25592435

Epidemiological and clinical aspects will guide the neuroimaging research in bipolar disorder.

J Houenou1, C Perlini2, P Brambilla3.   

Abstract

Although neurobiological mechanisms of bipolar disorder (BD) are still unclear, neural models of the disease have recently been conceptualised thanks to neuroimaging. Indeed, magnetic resonance imaging (MRI) studies investigating structural and functional connectivity between different areas of the brain suggest an altered prefrontal-limbic coupling leading to disrupted emotional processing in BD, including uncinate fasciculus, amygdala, parahippocampal cortex, cingulate cortex as well corpus callosum. Specifically, these models assume an altered prefrontal control over a hyperactivity of the subcortical limbic structures implicated in automatic emotional processing. This impaired mechanism may finally trigger emotional hyper-reactivity and mood episodes. In this review, we first summarised some key neuroimaging studies on BD. In the second part of the work, we focused on the heterogeneity of the available studies. This variability is partly due to methodological factors (i.e., small sample size) and differences among studies (i.e., MRI acquisition and post-processing analyses) and partly to the clinical heterogeneity of BD. We finally outlined how epidemiological studies should indicate which risk factors and clinical dimensions of BD are relevant to be studied with neuroimaging in order to reduce heterogeneity and go beyond diagnostic categories.

Entities:  

Keywords:  neuroanatomy

Year:  2015        PMID: 25592435      PMCID: PMC6998109          DOI: 10.1017/S2045796014000766

Source DB:  PubMed          Journal:  Epidemiol Psychiatr Sci        ISSN: 2045-7960            Impact factor:   6.892


  11 in total

1.  Evidence of diagnostic specificity in the neural correlates of facial affect processing in bipolar disorder and schizophrenia: a meta-analysis of functional imaging studies.

Authors:  G Delvecchio; G Sugranyes; S Frangou
Journal:  Psychol Med       Date:  2012-07-09       Impact factor: 7.723

2.  Shared intermediate phenotypes for schizophrenia and bipolar disorder: neuroanatomical features of subtypes distinguished by executive dysfunction.

Authors:  Alana M Shepherd; Yann Quidé; Kristin R Laurens; Nicole O'Reilly; Jesseca E Rowland; Philip B Mitchell; Vaughan J Carr; Melissa J Green
Journal:  J Psychiatry Neurosci       Date:  2015-01       Impact factor: 6.186

Review 3.  Grey matter differences in bipolar disorder: a meta-analysis of voxel-based morphometry studies.

Authors:  Sudhakar Selvaraj; Danilo Arnone; Dominic Job; Andrew Stanfield; Tom Fd Farrow; Allison C Nugent; Harald Scherk; Oliver Gruber; Xiaohua Chen; Perminder S Sachdev; Daniel P Dickstein; Gin S Malhi; Tae H Ha; Kyooseob Ha; Mary L Phillips; Andrew M McIntosh
Journal:  Bipolar Disord       Date:  2012-03       Impact factor: 6.744

Review 4.  Power failure: why small sample size undermines the reliability of neuroscience.

Authors:  Katherine S Button; John P A Ioannidis; Claire Mokrysz; Brian A Nosek; Jonathan Flint; Emma S J Robinson; Marcus R Munafò
Journal:  Nat Rev Neurosci       Date:  2013-04-10       Impact factor: 34.870

5.  City living and urban upbringing affect neural social stress processing in humans.

Authors:  Florian Lederbogen; Peter Kirsch; Leila Haddad; Fabian Streit; Heike Tost; Philipp Schuch; Stefan Wüst; Jens C Pruessner; Marcella Rietschel; Michael Deuschle; Andreas Meyer-Lindenberg
Journal:  Nature       Date:  2011-06-22       Impact factor: 49.962

6.  Working memory networks and activation patterns in schizophrenia and bipolar disorder: comparison with healthy controls.

Authors:  Christine Lycke Brandt; Tom Eichele; Ingrid Melle; Kjetil Sundet; Andrés Server; Ingrid Agartz; Kenneth Hugdahl; Jimmy Jensen; Ole A Andreassen
Journal:  Br J Psychiatry       Date:  2014-01-16       Impact factor: 9.319

7.  Diffusion tensor imaging white matter endophenotypes in patients with schizophrenia or psychotic bipolar disorder and their relatives.

Authors:  Pawel Skudlarski; David J Schretlen; Gunvant K Thaker; Michael C Stevens; Matcheri S Keshavan; John A Sweeney; Carol A Tamminga; Brett A Clementz; Kasey O'Neil; Godfrey D Pearlson
Journal:  Am J Psychiatry       Date:  2013-08       Impact factor: 18.112

Review 8.  Bipolar disorder diagnosis: challenges and future directions.

Authors:  Mary L Phillips; David J Kupfer
Journal:  Lancet       Date:  2013-05-11       Impact factor: 79.321

Review 9.  A critical appraisal of neuroimaging studies of bipolar disorder: toward a new conceptualization of underlying neural circuitry and a road map for future research.

Authors:  Mary L Phillips; Holly A Swartz
Journal:  Am J Psychiatry       Date:  2014-08       Impact factor: 18.112

Review 10.  Neuroimaging biomarkers in bipolar disorder.

Authors:  Josselin Houenou; Marc-Antoine d'Albis; Francois-Eric Vederine; Chantal Henry; Marion Leboyer; Michele Wessa
Journal:  Front Biosci (Elite Ed)       Date:  2012-01-01
View more
  3 in total

1.  Common and distinct structural features of schizophrenia and bipolar disorder: The European Network on Psychosis, Affective disorders and Cognitive Trajectory (ENPACT) study.

Authors:  Eleonora Maggioni; Benedicto Crespo-Facorro; Igor Nenadic; Francesco Benedetti; Christian Gaser; Heinrich Sauer; Roberto Roiz-Santiañez; Sara Poletti; Veronica Marinelli; Marcella Bellani; Cinzia Perlini; Mirella Ruggeri; A Carlo Altamura; Vaibhav A Diwadkar; Paolo Brambilla
Journal:  PLoS One       Date:  2017-11-14       Impact factor: 3.240

2.  Evaluation of Endothelial Dysfunction in Bipolar Affective Disorders: Serum Endocan and Urotensin-II Levels.

Authors:  Elif Oral; Zekai Halici; Irfan Cinar; Elif Ozcan; Zerrin Kutlu
Journal:  Clin Psychopharmacol Neurosci       Date:  2019-05-31       Impact factor: 2.582

3.  Using Minimal-Redundant and Maximal-Relevant Whole-Brain Functional Connectivity to Classify Bipolar Disorder.

Authors:  Yen-Ling Chen; Pei-Chi Tu; Tzu-Hsuan Huang; Ya-Mei Bai; Tung-Ping Su; Mu-Hong Chen; Yu-Te Wu
Journal:  Front Neurosci       Date:  2020-10-20       Impact factor: 4.677

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.