Using support vector machine to identify imaging biomarkers of neurological and psychiatric disease: a critical review

G Orru, W Pettersson-Yeo, AF Marquand… - Neuroscience & …, 2012 - Elsevier
Standard univariate analysis of neuroimaging data has revealed a host of neuroanatomical
and functional differences between healthy individuals and patients suffering a wide range …

Inhibitory control in obesity and binge eating disorder: A systematic review and meta-analysis of neurocognitive and neuroimaging studies

L Lavagnino, D Arnone, B Cao, JC Soares… - … & Biobehavioral Reviews, 2016 - Elsevier
The ability to exercise appropriate inhibitory control is critical in the regulation of body
weight, but the exact mechanisms are not known. In this systematic review, we identified 37 …

Limbic scars: long-term consequences of childhood maltreatment revealed by functional and structural magnetic resonance imaging

U Dannlowski, A Stuhrmann, V Beutelmann… - Biological …, 2012 - Elsevier
BACKGROUND: Childhood maltreatment represents a strong risk factor for the development
of depression and posttraumatic stress disorder (PTSD) in later life. In the present study, we …

Cross-disorder analysis of brain structural abnormalities in six major psychiatric disorders: a secondary analysis of mega-and meta-analytical findings from the …

N Opel, J Goltermann, M Hermesdorf, K Berger… - Biological …, 2020 - Elsevier
Background Neuroimaging studies have consistently reported similar brain structural
abnormalities across different psychiatric disorders. Yet, the extent and regional distribution …

[HTML][HTML] ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing

L Schmaal, E Pozzi, T C. Ho, LS Van Velzen… - Translational …, 2020 - nature.com
A key objective in the field of translational psychiatry over the past few decades has been to
identify the brain correlates of major depressive disorder (MDD). Identifying measurable …

[HTML][HTML] Meta-analysis of cortical thickness abnormalities in medication-free patients with major depressive disorder

Q Li, Y Zhao, Z Chen, J Long, J Dai, X Huang… - …, 2020 - nature.com
Alterations in cortical thickness have been identified in major depressive disorder (MDD),
but findings have been variable and inconsistent. To date, no reliable tools have been …

Prediction of individual response to electroconvulsive therapy via machine learning on structural magnetic resonance imaging data

R Redlich, N Opel, D Grotegerd, K Dohm… - JAMA …, 2016 - jamanetwork.com
Importance Electroconvulsive therapy (ECT) is one of the most effective treatments for
severe depression. However, biomarkers that accurately predict a response to ECT remain …

Voxel-based meta-analytical evidence of structural disconnectivity in major depression and bipolar disorder

T Wise, J Radua, G Nortje, AJ Cleare, AH Young… - Biological …, 2016 - Elsevier
Background Identification of white matter microstructure differences and similarities between
major depression and bipolar disorder is a necessary step to better understand the …

[HTML][HTML] Widespread reductions in gray matter volume in depression

SM Grieve, MS Korgaonkar, SH Koslow, E Gordon… - NeuroImage: Clinical, 2013 - Elsevier
Abnormalities in functional limbic–anterior cingulate–prefrontal circuits associated with
emotional reactivity, evaluation and regulation have been implicated in the pathophysiology …

Brain morphometric biomarkers distinguishing unipolar and bipolar depression: a voxel-based morphometry–pattern classification approach

R Redlich, JR Almeida, D Grotegerd, N Opel… - JAMA …, 2014 - jamanetwork.com
Importance The structural abnormalities in the brain that accurately differentiate unipolar
depression (UD) and bipolar depression (BD) remain unidentified. Objectives First, to …