title: Epidemiological and clinical aspects will guide the neuroimaging research in bipolar disorder.
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.
authors.affiliation: UNIACT,Neurospin, I2BM,CEA Saclay,Gif-Sur-Yvette,France.
authors.forename: J
authors.initials: J
authors.lastname: Houenou
authors.affiliation: Department of Public Health and Community Medicine,Section of Clinical Psychology, Inter-University Center for Behavioural Neurosciences (ICBN), University of Verona,Verona,Italy.
authors.forename: C
authors.initials: C
authors.lastname: Perlini
authors.affiliation: Department of Experimental & Clinical Medicine,ICBN,University of Udine,Udine,Italy.
authors.forename: P
authors.initials: P
authors.lastname: Brambilla
keywords: neuroanatomy