Always on guard: emotion regulation in women with

Zutphen, Linda van; Siep, Nicolette; Jacob, Gitta; Domes, Gregor; Sprenger, Andreas; Willenborg, Bastian; Goebel, Rainer; Arntz, Arnoud

doi:10.1503/jpn.170008

Cited by 24 publications

(16 citation statements)

References 41 publications

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“…The present study complements our recent study that examined stimulus category specificity and diagnosis specificity of neural correlates of emotional regulation in BPD (van Zutphen et al 2017). Fifty-nine BPD patients, 41 NPC and 29 CCP underwent current scanning session, of which 53 BPD patients, 34 NPC and 20 CCP met scanning and clinical criteria and were left for the analyses.…”

Section: Participantsmentioning

confidence: 63%

Impulse control under emotion processing: an fMRI investigation in borderline personality disorder compared to non-patients and cluster-C personality disorder patients

Zutphen

Siep

Jacob

et al. 2019

Brain Imaging and Behavior

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Impulsivity is a characteristic syndromal and neurobehavioral feature of borderline personality disorder (BPD). Research suggests an important interaction between high negative emotions and low behavioral inhibition in BPD. However, knowledge about the generalizability across stimulus categories and diagnosis specificity is limited. We investigated neural correlates of hypothesized impaired response inhibition of BPD patients to negative, positive and erotic stimuli, by comparing them to non-patients and cluster-C personality disorder patients. During fMRI scanning, 53 BPD patients, 34 non-patients and 20 cluster-C personality disorder patients completed an affective go/no-go task, including social pictures. BPD patients showed more omission errors than non-patients, independent of the stimulus category. Furthermore, BPD patients showed higher activity in the inferior parietal lobule and frontal eye fields when inhibiting negative versus neutral stimuli. Activity of the inferior parietal lobule correlated positively with the BPD checklist subscale impulsivity. When inhibiting emotional stimuli, BPD patients showed an altered brain activity in the inferior parietal lobe and frontal eye fields, whereas previously shown dysfunctional prefrontal activity was not replicated. BPD patients showed a general responsivity across stimulus categories in the frontal eye fields, whereas effects in the inferior parietal lobe were specific for negative stimuli. Results of diagnosis specificity support a dimensional rather than a categorical differentiation between BPD and cluster-C patients during inhibition of social emotional stimuli. Supported by behavioral results, BPD patients showed no deficiencies in emotionally modulated response inhibition per se but the present findings rather hint at attentional difficulties for emotional information.

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Section: Participantsmentioning

confidence: 63%

Impulse control under emotion processing: an fMRI investigation in borderline personality disorder compared to non-patients and cluster-C personality disorder patients

Zutphen

Siep

Jacob

et al. 2019

Brain Imaging and Behavior

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“…A detailed outline of the participant inclusion, the task, as well as fMRI data acquisition and preprocessing is described elsewhere [17,18]. Below are summaries for each section.…”

Section: Methodsmentioning

confidence: 99%

“…During the safe trials, participants were asked to imagine themselves as being in a safe situation. This regulation strategy was based on a central element of schema therapy, one of the main therapies for BPD [17]. There were 4 categories of picture stimuli (negative, neutral, positive, and erotic), and the task consisted of 96 trials divided into 4 runs of 24 trials each (see Fig.…”

Section: Taskmentioning

confidence: 99%

“…In total, 192 images were obtained in Maastricht, 160 in Freiburg, and 170 in Lübeck. The preprocessed images from a previous study were used (see [17] for details of the preprocessing pipeline) and transformed from BrainVoyager format into nifti format, using Neuroelf (www.neuro elf.net).…”

Section: Acquisition and Preprocessingmentioning

confidence: 99%

“…Specifically, we focused on delineating two characteristics: phasic connectivity: the taskevent related changes in brain connectivity (see [9,15,16 for comparable approaches] and tonic connectivity: background connectivity of brain regions, unrelated to task-events. We build on our previous work [17,18] and compare BPD to non-patient controls (NPC) and cluster-C personality disorder patients as a relevant clinical control group. Due to the importance of emotion regulation in BPD, we expected that the phasic connectivity shifts would show the highest classification accuracy.…”

Section: Introductionmentioning

confidence: 99%

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Borderline personality disorder classification based on brain network measures during emotion regulation

Cremers

Zutphen

Duken

et al. 2020

Eur Arch Psychiatry Clin Neurosci

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Borderline Personality Disorder (BPD) is characterized by an increased emotional sensitivity and dysfunctional capacity to regulate emotions. While amygdala and prefrontal cortex interactions are regarded as the critical neural mechanisms underlying these problems, the empirical evidence hereof is inconsistent. In the current study, we aimed to systematically test different properties of brain connectivity and evaluate the predictive power to detect borderline personality disorder. Patients with borderline personality disorder (n = 51), cluster C personality disorder (n = 26) and non-patient controls (n = 44), performed an fMRI emotion regulation task. Brain network analyses focused on two properties of task-related connectivity: phasic refers to task-event dependent changes in connectivity, while tonic was defined as task-stable background connectivity. Three different network measures were estimated (strength, local efficiency, and participation coefficient) and entered as separate models in a nested cross-validated linear support vector machine classification analysis. Borderline personality disorder vs. non-patient controls classification showed a balanced accuracy of 55%, which was not significant under a permutation null-model, p = 0.23. Exploratory analyses did indicate that the tonic strength model was the highest performing model (balanced accuracy 62%), and the amygdala was one of the most important features. Despite being one of the largest data-sets in the field of BPD fMRI research, the sample size may have been limited for this type of classification analysis. The results and analytic procedures do provide starting points for future research, focusing on network measures of tonic connectivity, and potentially focusing on subgroups of BPD.

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