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MRI Brain

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.

JapanUnited Kingdom
Healthy control3917
Low back pain2417

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.

T1wboldSubjects 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

Access
Free registration

Create an account and accept terms online

Access page

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.

Original license text Version read: OpenPain Data Use Agreement web page, undated, read 2026-10-09 Checked 2026-10-09

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.