Using structural MRI to identify bipolar disorders–13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group

A Nunes, HG Schnack, CRK Ching, I Agartz… - Molecular …, 2020 - nature.com
Bipolar disorders (BDs) are among the leading causes of morbidity and disability. Objective
biological markers, such as those based on brain imaging, could aid in clinical management …

Using structural MRI to identify individuals at genetic risk for bipolar disorders: a 2-cohort, machine learning study

T Hajek, C Cooke, M Kopecek, T Novak, C Hoschl… - Journal of Psychiatry and …, 2015 - jpn.ca
Background: Brain imaging is of limited diagnostic use in psychiatry owing to clinical
heterogeneity and low sensitivity/specificity of between-group neuroimaging differences …

Will machine learning applied to neuroimaging in bipolar disorder help the clinician? A critical review and methodological suggestions

LA Claude, J Houenou, E Duchesnay… - Bipolar …, 2020 - Wiley Online Library
Objectives The existence of anatomofunctional brain abnormalities in bipolar disorder (BD)
is now well established by magnetic resonance imaging (MRI) studies. To create diagnostic …

[HTML][HTML] Longitudinal structural brain changes in bipolar disorder: a multicenter neuroimaging study of 1232 individuals by the ENIGMA bipolar disorder working group

C Abé, CRK Ching, B Liberg, AV Lebedev, I Agartz… - Biological …, 2022 - Elsevier
Background Bipolar disorder (BD) is associated with cortical and subcortical structural brain
abnormalities. It is unclear whether such alterations progressively change over time, and …

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

CRK Ching, DP Hibar, TP Gurholt, A Nunes… - Human brain …, 2022 - Wiley Online Library
MRI‐derived brain measures offer a link between genes, the environment and behavior and
have been widely studied in bipolar disorder (BD). However, many neuroimaging studies of …

Examination of the predictive value of structural magnetic resonance scans in bipolar disorder: a pattern classification approach

V Rocha-Rego, J Jogia, AF Marquand… - Psychological …, 2014 - cambridge.org
BackgroundBipolar disorder (BD) is one of the leading causes of disability worldwide.
Patients are further disadvantaged by delays in accurate diagnosis ranging between 5 and …

Identification of bipolar disorder using a combination of multimodality magnetic resonance imaging and machine learning techniques

H Li, L Cui, L Cao, Y Zhang, Y Liu, W Deng, W Zhou - BMC psychiatry, 2020 - Springer
Background Bipolar disorder (BPD) is a common mood disorder that is often goes
misdiagnosed or undiagnosed. Recently, machine learning techniques have been …

Individualized prediction and clinical staging of bipolar disorders using neuroanatomical biomarkers

B Mwangi, MJ Wu, BO Cao, IC Passos… - Biological psychiatry …, 2016 - Elsevier
Background Neuroanatomical abnormalities in bipolar disorder (BD) have previously been
reported. However, the utility of these abnormalities in distinguishing individual patients with …

Structural imaging biomarkers for bipolar disorder: Meta‐analyses of whole‐brain voxel‐based morphometry studies

X Lu, Y Zhong, Z Ma, Y Wu, PT Fox… - Depression and …, 2019 - Wiley Online Library
Background Bipolar disorder (BD) is a common and destructive psychiatric illness
worldwide. Although it is known that BD is associated with morphological abnormalities of …

New structural brain imaging endophenotype in bipolar disorder

K Matsuo, M Kopecek, MA Nicoletti, JP Hatch… - Molecular …, 2012 - nature.com
Neuroimaging studies suggest anterior-limbic structural brain abnormalities in patients with
bipolar disorder (BD), but few studies have shown these abnormalities in unaffected but …