TOP bipolar faces-matching fMRI (Oslo)
NORMENT TOP study (TOP3 sample), 1.5 T faces-matching task fMRI of bipolar disorder and healthy controls, Oslo University Hospital
Task fMRI with an emotional faces-matching paradigm plus T1w structural scans of 85 people with bipolar disorder and 121 healthy controls from the Oslo TOP study, analysed against diagnosis and polygenic risk. Raw images are available only on request; group z maps are on NeuroVault.
Overview
This cohort is the bipolar disorder part of the TOP study run by NORMENT at the University of Oslo and Oslo University Hospital, labelled TOP3 as a Psychiatric Genomics Consortium substudy. Tesli et al. (2015) scanned people with bipolar disorder and healthy controls with an emotional faces-matching fMRI task and related brain activation to diagnosis and to a polygenic risk score for bipolar disorder computed from genome-wide genotypes. The raw images are not public; the paper states they can be requested from the study, and 16 group z maps are on NeuroVault.
Composition
The analysed sample has 206 adults aged 18 to 63: 85 with bipolar disorder (43 type I, 36 type II, 6 not otherwise specified) and 121 healthy controls drawn at random from national population records in the same catchment area. Women made up 61% of patients and 44% of controls. Mean age was about 35 years in both groups. Participants were included between 2003 and 2009 and are of Northern European, mainly Norwegian, ancestry.
Acquisition
All scans come from one 1.5 T Siemens Magnetom Sonata at Oslo University Hospital with a standard head coil. The task fMRI used gradient-echo EPI (TR 2040 ms, TE 50 ms, 24 axial 4 mm slices, 3 mm in-plane) over two sessions, each alternating blocks of angry or fearful faces, or happy faces, with a shape-matching control. A sagittal T1-weighted MPRAGE (about 1.33 x 0.94 x 1 mm) was acquired twice and averaged for co-registration.
Annotations
There are no image labels. Each participant has a SCID-based DSM-IV diagnosis, genotypes and a polygenic risk score, IQ (WASI), task response times and accuracy, and for patients mood and symptom ratings (IDS, YMRS, PANSS positive), functioning (GAF), illness history and medication on the scan day.
Known limitations
- Raw images are released only on request under ethics restrictions, with no published terms.
- Mood and symptom ratings at scanning are missing for part of the patients (IDS for 60 of 85).
- Many patients were on antipsychotics, anticonvulsants, antidepressants or lithium.
- Counts describe only the sample analysed in this paper.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 206 subjects.
Sex
- Female 105 51%
- Male 101 49%
Condition
Groups can overlap
- Healthy control 121 59%Age mean 35 ± 8.8
- Bipolar disorder 85 41%Age mean 34.8 ± 11.2
Sample characteristics and Table 1, Table 1 in Tesli et al. 2015, PLOS ONE, emotional face processing, diagnosis and polygenic risk of bipolar disorder
Field strength
- 1.5 T 206 100%
Image acquisition in Tesli et al. 2015, PLOS ONE, emotional face processing, diagnosis and polygenic risk of bipolar disorder
Condition by sex
Reported cross table. A dot marks a cell the source does not give.
| Female | Male | |
|---|---|---|
| Healthy control | 53 | 68 |
| Bipolar disorder | 52 | 33 |
Age
range 18 to 63
No age bins reported.
Table 1 footnote a in Tesli et al. 2015, PLOS ONE, emotional face processing, diagnosis and polygenic risk of bipolar disorder
Contrast / sequence
Groups can overlap
- BOLD fMRI 206 100%
- T1-weighted 206 100%
Image acquisition in Tesli et al. 2015, PLOS ONE, emotional face processing, diagnosis and polygenic risk of bipolar disorder
Scanner vendor
- Siemens Healthineers 206 100%
Image acquisition in Tesli et al. 2015, PLOS ONE, emotional face processing, diagnosis and polygenic risk of bipolar disorder
Country
- Norway 206 100%
Image acquisition in Tesli et al. 2015, PLOS ONE, emotional face processing, diagnosis and polygenic risk of bipolar disorder
Contrast combinations
How many subjects have exactly each set of contrasts.
| T1w | bold | Subjects with exactly this set |
|---|---|---|
206 |
Image acquisition in Tesli et al. 2015, PLOS ONE, emotional face processing, diagnosis and polygenic risk of bipolar disorder
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
Ask the authors or the data holder. No published process or terms, and access is at their discretion
The paper's data availability statement says that, because of ethics committee restrictions, the raw fMRI data are available only on request to the study data manager at the University of Oslo. NeuroVault collection 648 holds 16 derived whole-sample group z maps (diagnosis and polygenic risk contrasts), under CC0 like all public NeuroVault data.
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 license or data use terms are published for the MRI images. The CC0 dedication of NeuroVault covers only the derived group maps.
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
Tesli M, Kauppi K, Bettella F, Brandt CL, Kaufmann T, Espeseth T, Mattingsdal M, Agartz I, Melle I, Djurovic S, Westlye LT, Andreassen OA. Altered brain activation during emotional face processing in relation to both diagnosis and polygenic risk of bipolar disorder. PLOS ONE 10(7), e0134202 (2015). doi:10.1371/journal.pone.0134202
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.