OpenPain: Brain network change Mano
OpenPain Project: Classification and characterisation of brain network changes in chronic back pain
Resting-state fMRI and structural brain MRI of adults with chronic low back pain and matched controls, collected to study how brain networks change in chronic pain and to classify patients. 41 patients and 56 controls from Cambridge (UK) and Osaka, via the OpenPain Project.
Overview
This OpenPain Project study holds brain MRI from adults with chronic low back pain and from matched pain-free controls, collected at two sites to study how large-scale brain networks change in chronic pain. Mano and colleagues used the data as the discovery cohort for support vector machine and deep learning classifiers of patients versus controls, and for graph-theory analyses of hub disruption and modular reorganisation. The paper's data availability statement points to the OpenPain Project for the raw data, which it distributes after online registration.
Composition
The cohort has 97 people: 41 patients and 56 controls. The Cambridge (UK) site contributed 17 patients and 17 controls, the Osaka (Japan) site 24 patients and 39 controls. Ages per group span 20 to 68 years. Patients had back pain for more than six months, no other chronic pain condition and no major neurological or psychiatric illness. Controls were matched approximately for age, sex and IQ. Each participant has a T1-weighted structural scan and one resting-state fMRI run. Pain intensity (visual analogue scale, short-form McGill questionnaire), depression scores (Beck, Hamilton) and a reading-based IQ estimate were collected.
Acquisition
Both sites used a Siemens 3T Magnetom Trio with a 12-channel head coil, at Addenbrooke's Hospital in Cambridge and at CiNet in Osaka. Resting-state BOLD was a gradient echo EPI with a 64 x 64 matrix: TR 2000 ms and 300 volumes in Cambridge, TR 2500 ms and 234 volumes in Osaka. The structural scan was a 1 mm MPRAGE, with 176 sagittal slices in Cambridge and 208 in Osaka. Cambridge scanned from June 2013 to April 2014, Osaka from April 2014 to March 2015.
Known limitations
The sample is small and the two sites differ in fMRI timing and slice coverage. One Cambridge patient was excluded from the published analyses for excessive signal changes after motion scrubbing. The paper reports no sex breakdown. Preprocessed connectivity matrices from the same study are held separately by ATR in Japan under their own terms. The OpenPain download portal is behind registration, so the file contents on the portal were not checked for this entry.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 97 subjects.
Age
range 20 to 68
No age bins reported.
Table 1 in Mano et al. 2018, Wellcome Open Research 3:19 (version 2)
Condition
Groups can overlap
- Healthy control 56 58%
- Low back pain 41 42%
Methods, Participants in Mano et al. 2018, Wellcome Open Research 3:19 (version 2)
Field strength
- 3 T 97 100%
Methods, MRI data acquisition in Mano et al. 2018, Wellcome Open Research 3:19 (version 2)
Condition by country
Reported cross table. A dot marks a cell the source does not give.
| Japan | United Kingdom | |
|---|---|---|
| Healthy control | 39 | 17 |
| Low back pain | 24 | 17 |
Table 1 in Mano et al. 2018, Wellcome Open Research 3:19 (version 2)
Contrast / sequence
Groups can overlap
- T1-weighted 97 100%
- BOLD fMRI 97 100%
Methods, Resting-state fMRI data preprocessing in Mano et al. 2018, Wellcome Open Research 3:19 (version 2)
Scanner vendor
- Siemens Healthineers 97 100%
Methods, MRI data acquisition in Mano et al. 2018, Wellcome Open Research 3:19 (version 2)
Country
- Japan 63 65%
- United Kingdom 34 35%
Methods, Participants in Mano et al. 2018, Wellcome Open Research 3:19 (version 2)
Contrast combinations
How many subjects have exactly each set of contrasts.
| T1w | bold | Subjects with exactly this set |
|---|---|---|
97 |
Methods, Resting-state fMRI data preprocessing in Mano et al. 2018, Wellcome Open Research 3:19 (version 2)
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
Create an account and accept terms online
OpenPain Data Use Agreement
Access after registering on the OpenPain site and accepting the agreement online. Use is limited to scientific investigation, teaching or planning clinical research. Data may not be disclosed beyond those uses, everyone who uses or receives them must follow the agreement, re-identification is forbidden and publications must acknowledge the OpenPain Project and its funders.
What you can do
- Conditional
- Not stated
- Not stated
- Not stated
- Conditional
What you can share
- Conditional
- Not stated
- Share trained models Not stated
What you must do
- Yes
- Share alike No
- Yes
- Conditional
- Manuscript review No
- Release code No
- No
- Delete after use No
Limits
- Yes
- No
Citation
Mano H, Kotecha G, Leibnitz K, Matsubara T, Sprenger C, Nakae A, Shenker N, Shibata M, Voon V, Yoshida W, Lee M, Yanagida T, Kawato M, Rosa MJ, Seymour B. Classification and characterisation of brain network changes in chronic back pain: A multicenter study. Wellcome Open Research 3:19 (2018).
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.