Danilo Arnone

Dr. Danilo Arnone

orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2015 in European Neuropsychopharmacology
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Journal Article
Closed access
RSRebecca Strawbridge
Rebecca Strawbridge
Danilo ArnoneDanilo Arnone
Danilo Arnone
ADA. Danese
A. Danese
APA. Papadopoulos
A. Papadopoulos
AHAndres Herane-Vives
Andres Herane-Vives
ACA.J. Cleare
A.J. Cleare

24 May 2016 in Molecular Psychiatry
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Journal Article
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TWT Wise
T Wise
Joaquim RaduàJoaquim Raduà
Joaquim Raduà
EVEsther Via
Esther Via
NCNarcis Cardoner
Narcis Cardoner
OAOsamu Abe
Osamu Abe
Danilo ArnoneDanilo Arnone
Danilo Arnone
Finding robust brain substrates of mood disorders is an important target for research. The degree to which major depression (MDD) and bipolar disorder (BD) are associated with common and/or distinct patterns of volumetric changes is nevertheless unclear. Furthermore, the extant literature is heterogeneous with respect to the nature of these changes. We report a meta-analysis of voxel-based morphometry (VBM) studies in MDD and BD. We identified studies published up to January 2015 that compared grey matter in MDD (50 data sets including 4101 individuals) and BD (36 data sets including 2407 individuals) using whole-brain VBM. We used statistical maps from the studies included where available and reported peak coordinates otherwise. Group comparisons and conjunction analyses identified regions in which the disorders showed common and distinct patterns of volumetric alteration. Both disorders were associated with lower grey-matter volume relative to healthy individuals in a number of areas. Conjunction analysis showed smaller volumes in both disorders in clusters in the dorsomedial and ventromedial prefrontal cortex, including the anterior cingulate cortex and bilateral insula. Group comparisons indicated that findings of smaller grey-matter volumes relative to controls in the right dorsolateral prefrontal cortex and left hippocampus, along with cerebellar, temporal and parietal regions were more substantial in major depression. These results suggest that MDD and BD are characterised by both common and distinct patterns of grey-matter volume changes. This combination of differences and similarities has the potential to inform the development of diagnostic biomarkers for these conditions.

1 January 2012 in European Neuropsychopharmacology
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Journal Article
Closed access
Danilo ArnoneDanilo Arnone
Danilo Arnone
AMA.M. McIntosh
A.M. McIntosh
KEK.P. Ebmeier
K.P. Ebmeier
MMM.R. Munafò
M.R. Munafò
IAI.M. Anderson
I.M. Anderson

1 September 2009 in The British Journal of Psychiatry
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Journal Article
Open access
PDF file
Danilo ArnoneDanilo Arnone
Danilo Arnone
JCJ. Cavanagh
J. Cavanagh
DGD. Gerber
D. Gerber
SLS. M. Lawrie
S. M. Lawrie
KEK. P. Ebmeier
K. P. Ebmeier
AMA. M. McIntosh
A. M. McIntosh
Background: Several magnetic resonance imaging (MRI) studies have identified structural abnormalities in association with bipolar disorder. The literature is, however, heterogeneous and there is remaining uncertainty about which brain areas are pivotal to the pathogenesis of the condition.Aims: To identify, appraise and summarise volumetric MRI studies of brain regions comparing bipolar disorder with an unrelated control group and individuals with schizophrenia.Method: A systematic review and random-effects meta-analysis was carried out to identify key areas of structural abnormality in bipolar disorder and whether the pattern of affected areas separated bipolar disorder from schizophrenia. Significant heterogeneity was explored using meta-regression.Results: Participants with bipolar disorder are characterised by whole brain and prefrontal lobe volume reductions, and also by increases in the volume of the globus pallidus and lateral ventricles. In comparison with schizophrenia, bipolar disorder is associated with smaller lateral ventricular volume and enlarged amygdala volume. Heterogeneity was widespread and could be partly explained by clinical variables and year of publication, but generally not by differences in image acquisition.Conclusions: There appear to be robust changes in brain volume in bipolar disorder compared with healthy volunteers, although most changes do not seem to be diagnostically specific. Age and duration of illness appear to be key issues in determining the magnitude of observed effect sizes.

1 September 2016 in Neuroscience & Biobehavioral Reviews
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Journal Article
Closed access
LLLuca Lavagnino
Luca Lavagnino
Danilo ArnoneDanilo Arnone
Danilo Arnone
BCBo Cao
Bo Cao
JSJair Soares
Jair Soares
SSSudhakar Selvaraj
Sudhakar Selvaraj

15 March 2012 in Bipolar Disorders
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Journal Article
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SSSudhakar Selvaraj
Sudhakar Selvaraj
Danilo ArnoneDanilo Arnone
Danilo Arnone
DJDominic Job
Dominic Job
ASAndrew Stanfield
Andrew Stanfield
TFTom Farrow
Tom Farrow
AMAndrew M McIntosh
Andrew M McIntosh