Emotion Regulation fMRI in Borderline and Cluster-C PD
Always on guard: emotion regulation in women with borderline personality disorder compared to nonpatient controls and patients with cluster-C personality disorder
Task fMRI of women with borderline personality disorder, women with cluster-C personality disorder and nonpatient controls while they viewed or regulated responses to emotional pictures. Scans are not public; group-level BrainVoyager statistics are open under CC0.
Overview
This entry covers the cohort of a multicentre task fMRI study run by Maastricht University with partners in Freiburg, Lübeck and Hamburg, published in 2018 in the Journal of Psychiatry & Neuroscience. Women with borderline personality disorder (BPD), women with cluster-C personality disorder and nonpatient controls looked at emotional pictures and, in other trials, tried to regulate their reaction by reminding themselves that they were safe. The study asked whether BPD shows heightened emotional sensitivity and weaker regulation, and whether this is specific to BPD. The scans are not public. A CC0 deposit on DataverseNL holds the group-level BrainVoyager results.
Composition
141 women were scanned: 62 with BPD, 48 controls and 31 with cluster-C personality disorder. After exclusions for scanning or clinical criteria, 55, 42 and 24 entered the analysis. Mean age was 28 to 31 years per group, within an inclusion range of 18 to 65. Most BPD patients also had major depressive disorder (49 of 55) and about two thirds took antidepressants; 17 of the 24 cluster-C patients had avoidant personality disorder.
Acquisition
Participants were recruited at two Dutch sites (Maastricht, Heerlen) and three German sites (Freiburg, Lübeck, Hamburg) and scanned on 3 T systems. The paper does not name the scanner vendors; detailed parameters sit in an appendix and in a restricted file of the deposit. The task had 96 trials in four runs, using negative, neutral, positive and erotic social pictures. Analysis used BrainVoyager QX 2.6.
Annotations
There are no image labels. Diagnoses come from structured clinical interviews, and the paper reports symptom questionnaires, estimated IQ, handedness and medication per group.
Known limitations
- Individual functional and anatomical MRI are not shared. The open archive holds only group-level GLMs, contrast maps, an averaged anatomy, a mask and region-of-interest time courses in BrainVoyager formats.
- Women only, so results do not generalise to men.
- Patients had varied comorbidities and medication.
- Per-site counts and scanner models are not reported.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 121 subjects.
Sex
- Female 121 100%
Methods in van Zutphen et al. 2018, J Psychiatry Neurosci 43(1):37-47 (PMC5747534)
Contrast / sequence
Groups can overlap
- BOLD fMRI 121 100%
Methods in van Zutphen et al. 2018, J Psychiatry Neurosci 43(1):37-47 (PMC5747534)
Field strength
- 3 T 121 100%
Methods in van Zutphen et al. 2018, J Psychiatry Neurosci 43(1):37-47 (PMC5747534)
Modality
- MRI 121 100%
Methods in van Zutphen et al. 2018, J Psychiatry Neurosci 43(1):37-47 (PMC5747534)
Condition
Groups can overlap
- Major depressive disorder 62 51%
- Borderline personality disorder 55 45%Age mean 30.8 ± 8.8
- Healthy control 42 35%Age mean 28.3 ± 10.5
- Cluster C personality disorder 24 20%Age mean 30.4 ± 11.5
- Post-traumatic stress disorder 23 19%
Table 1 in van Zutphen et al. 2018, J Psychiatry Neurosci 43(1):37-47 (PMC5747534)
License and access
Our reading of the license, not legal advice. Before you use the data, read the original license and confirm that your use is allowed. We take no responsibility for how you use a dataset. Full disclaimer
The data are not available outside the institution or study that holds them
The DataverseNL deposit (CC0 1.0) offers one open 591 MB archive of group-level BrainVoyager products: random effects GLMs, contrast maps, an averaged anatomical volume, a brain mask and region-of-interest time courses. A scanning-parameter file and two SPSS syntax files are restricted and can be requested. Neither the paper nor the deposit releases the participants' functional or anatomical MRI.
Different parts of the data carry different licenses. The summary on the right shows the most restrictive answer per rule.
Creative Commons Zero 1.0 Universal
Public domain dedication. Do anything with the data, including commercial use, without asking and without having to give credit.
What you can do
- Yes
- Yes
- Yes
- Yes
- Yes
What you can share
- Yes
- Yes
- Yes
What you must do
- No
- Share alike No
- No
- No
- Manuscript review No
- Release code No
- Return results No
- Delete after use No
Limits
- No
- Location limits No
No published license or data use terms
The data holder has published no license and no data use terms. Any use, sharing or commercial right has to be agreed with the data holder, and nothing can be assumed to be allowed. Default copyright and data protection law still apply.
No release or terms are stated for the scans themselves.
What you can do
- Commercial use Not stated
- Not stated
- Train ML models Not stated
- Create derived data Not stated
- Publish results Not stated
What you can share
- Share the data Not stated
- Share derived data Not stated
- Share trained models Not stated
What you must do
- Cite or credit Not stated
- Share alike Not stated
- Sign an agreement Not stated
- Ethics approval Not stated
- Manuscript review Not stated
- Release code Not stated
- Return results Not stated
- Delete after use Not stated
Limits
- No re-identification Not stated
- Location limits Not stated
Citation
van Zutphen L, Siep N, Jacob GA, Domes G, Sprenger A, Willenborg B, Goebel R, Arntz A. Always on guard: emotion regulation in women with borderline personality disorder compared to nonpatient controls and patients with cluster-C personality disorder. J Psychiatry Neurosci 43(1):37-47 (2018). doi:10.1503/jpn.170008. Data: DataverseNL, V1 (2020). doi:10.34894/SDPIFR
Sources
Every number on this page comes from one of these documents. Each chart names the table or page it is taken from. The raw numbers are in stats.csv.