Specificity of abnormal brain volume in major depressive disorder: A comparison with borderline personality disorder

Depping, Malte S.; Wolf, Nadine D.; Vasić, Nenad; Sambataro, Fabio; Thomann, Philipp A.

doi:10.1016/j.jad.2014.11.059

Cited by 25 publications

(16 citation statements)

References 89 publications

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“…While some recent work has provided evidence for decreased amygdala volume in BPD patients relative to healthy adults (Depping et al, 2015; Driessen et al, 2000; Niedtfeld et al, 2013; Soloff et al, 2008) and other work has indicated increased amygdala volume in BPD patients relative to healthy adults (Minzenberg et al, 2008), we examined 29 unmedicated BPD patients and 29 healthy adults and did not find a group difference, consistent with another recent study of 30 BPD patients and 33 healthy adults (Kuhlmann et al, 2013). Indeed, the relatively low sample sizes, comorbidities, and inclusion of patients using psychotropic medications in prior VBM work may have contributed to some discrepancies (Kuhlmann et al, 2013).…”

Section: Discussionsupporting

confidence: 85%

“…In ACC, several studies have indicated that BPD patients show reduced volumes relative to healthy controls (Goodman et al, 2011; Hazlett et al, 2005; Minzenberg et al, 2008; Niedtfeld et al, 2013; Soloff et al, 2008), including one study where greater ACC volume in BPD patients predicted less BPD symptom severity (Niedtfeld et al, 2013). However, other recent reports have specifically examined volumetric differences in ACC and have not found evidence for a difference between BPD patients and healthy controls (Depping et al, 2015; Kuhlmann et al, 2013; Labudda et al, 2013). Thus, similar to amygdala, studies examining structural abnormalities in MPFC, DLPFC, and ACC in BPD relative to healthy controls have reached varying conclusions.…”

Section: Introductionmentioning

confidence: 93%

“…Reduced (Depping et al, 2015; Niedtfeld et al, 2013; Soloff et al, 2008) and greater amygdala volume in BPD patients relative to healthy controls (Minzenberg et al, 2008) have both been reported. Still other work has examined structural differences between BPD patients and healthy controls with amygdala as a particular region-of-interest and reported no group difference in amygdala volume (Brambilla et al, 2004; Kuhlmann et al, 2013; Zetzsche et al, 2006).…”

Section: Introductionmentioning

confidence: 95%

“…Still other work has examined structural differences between BPD patients and healthy controls with amygdala as a particular region-of-interest and reported no group difference in amygdala volume (Brambilla et al, 2004; Kuhlmann et al, 2013; Zetzsche et al, 2006). Importantly, some of this work has shown that greater BPD amygdala volumes predict less BPD symptom severity (Niedtfeld et al, 2013), while somewhat more evidence exists showing that greater amygdala volumes predict greater symptom severity (Depping et al, 2015; Zetzsche et al, 2006). Thus, the question of volumetric differences in amygdala between BPD patients and healthy controls—and, crucially, the clinical significance of such differences—is unresolved.…”

Section: Introductionmentioning

confidence: 97%

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Brain structural anomalies in borderline and avoidant personality disorder patients and their associations with disorder-specific symptoms

Denny

Fan²,

Liu

et al. 2016

Journal of Affective Disorders

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Background Borderline personality disorder (BPD) and avoidant personality disorder (AvPD) are characterized by hyper-reactivity to negatively-perceived interpersonal cues, yet they differ in degree of affective instability. Recent work has begun to elucidate the neural (structural and functional) and cognitive-behavioral underpinnings of BPD, although some initial studies of brain structure have reached divergent conclusions. AvPD, however, has been almost unexamined in the cognitive neuroscience literature. Methods In the present study we investigated group differences among 29 BPD patients, 27 AvPD patients, and 29 healthy controls (HC) in structural brain volumes using voxel-based morphometry (VBM) in five anatomically-defined regions of interest: amygdala, hippocampus, medial prefrontal cortex (MPFC), dorsolateral prefrontal cortex (DLPFC), and anterior cingulate cortex (ACC). We also examined the relationship between individual differences in brain structure and self-reported anxiety and affective instability in each group. Results We observed reductions in MPFC and ACC volume in BPD relative to HC, with no significant difference among patient groups. No group differences in amygdala volume were found. However, BPD and AvPD patients each showed a positive relationship between right amygdala volume and state-related anxiety. By contrast, in HC there was an inverse relationship between MPFC volume and state and trait-related anxiety as well as between bilateral DLPFC volume and affective instability. Limitations Current sample sizes did not permit examination of gender effects upon structure-symptom correlations. Conclusions These results shed light on potentially protective, or compensatory, aspects of brain structure in these populations–namely, relatively reduced amygdala volume or relatively enhanced MPFC and DLPFC volume.

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Section: Discussionsupporting

confidence: 85%

Section: Introductionmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 97%

See 2 more Smart Citations

Brain structural anomalies in borderline and avoidant personality disorder patients and their associations with disorder-specific symptoms

Denny

Fan²,

Liu

et al. 2016

Journal of Affective Disorders

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“…Due to its simplicity of use, VBM has motivated many neuroscientists to characterize the specific abnormalities of graymatter volume throughout the brain in MDD [15,19,20]. Recent meta-analysis of VBM in MDD has shown strong evidence of gray-matter volume reduction in the anterior cingulate cortex (ACC) [21][22][23].…”

Section: Mr Imaging Of Brain Morphology and Structurementioning

confidence: 99%

Molecular, Functional, and Structural Imaging of Major Depressive Disorder

Zhang

Zhu

et al. 2016

Neurosci. Bull.

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Major depressive disorder (MDD) is a significant cause of morbidity and mortality worldwide, correlating with genetic susceptibility and environmental risk factors. Molecular, functional, and structural imaging approaches have been increasingly used to detect neurobiological changes, analyze neurochemical correlates, and parse pathophysiological mechanisms underlying MDD. We reviewed recent neuroimaging publications on MDD in terms of molecular, functional, and structural alterations as detected mainly by magnetic resonance imaging (MRI) and positron emission tomography. Altered structure and function of brain regions involved in the cognitive control of affective state have been demonstrated. An abnormal default mode network, as revealed by resting-state functional MRI, is likely associated with aberrant metabolic and serotonergic function revealed by radionuclide imaging. Further multi-modal investigations are essential to clarify the characteristics of the cortical network and serotonergic system associated with behavioral and genetic variations in MDD.

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Morphologic and Functional Connectivity Alterations in Patients with Major Depressive Disorder

Yang

Imamura

et al. 2015

Brain Informatics and Health

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Specificity of abnormal brain volume in major depressive disorder: A comparison with borderline personality disorder

Cited by 25 publications

References 89 publications

Brain structural anomalies in borderline and avoidant personality disorder patients and their associations with disorder-specific symptoms

Brain structural anomalies in borderline and avoidant personality disorder patients and their associations with disorder-specific symptoms

Molecular, Functional, and Structural Imaging of Major Depressive Disorder

Morphologic and Functional Connectivity Alterations in Patients with Major Depressive Disorder

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