Pain and Interoception Imaging Network (PAIN): A multimodal, multisite, brain-imaging repository for chronic somatic and visceral pain disorders

The Pain and Interoception Imaging Network (PAIN) repository (painrepository.org) is a newly created NIH (NIDA/NCCAM) funded neuroimaging data repository that aims to accelerate scientific discovery regarding brain mechanisms in pain and to provide more rapid benefits to pain patients through the harmonization of efforts and data sharing. The PAIN Repository consists of two components, an Archived Repository and a Standardized Repository. Similar to other 'open' imaging repositories, neuroimaging researchers can deposit any dataset of chronic pain patients and healthy controls into the Archived Repository. Scans in the Archived Repository can be very diverse in terms of scanning procedures and clinical metadata, complicating the merging of datasets for analyses. The Standardized Repository overcomes these limitations through the use of standardized scanning protocols along with a standardized set of clinical metadata, allowing an unprecedented ability to perform pooled analyses. The Archived Repository currently includes 741 scans and is rapidly growing. The Standardized Repository currently includes 433 scans. Pain conditions currently represented in the PAIN repository include: irritable bowel syndrome, vulvodynia, migraine, chronic back pain, and inflammatory bowel disease. Both the PAIN Archived and Standardized Repositories promise to be important resources in the field of chronic pain research. The enhanced ability of the Standardized Repository to combine imaging, clinical and other biological datasets from multiple sites in particular make it a unique resource for significant scientific discoveries.

[1]  R. Snaith,et al.  The Hospital Anxiety and Depression Scale , 1983 .

[2]  Dedra Buchwald,et al.  The MAPP research network: a novel study of urologic chronic pelvic pain syndromes , 2014, BMC Urology.

[3]  Nick C Fox,et al.  The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods , 2008, Journal of magnetic resonance imaging : JMRI.

[4]  Emeran A. Mayer,et al.  Preliminary structural MRI based brain classification of chronic pelvic pain: A MAPP network study , 2014, PAIN®.

[5]  Roger Bolus,et al.  Psychometric Properties of the Early Trauma Inventory–Self Report , 2007, The Journal of nervous and mental disease.

[6]  D. Watson,et al.  Development and validation of brief measures of positive and negative affect: the PANAS scales. , 1988, Journal of personality and social psychology.

[7]  Sean Mackey,et al.  The MAPP research network: design, patient characterization and operations , 2014, BMC Urology.

[8]  M E Robinson,et al.  The Coping Strategies Questionnaire: a large sample, item level factor analysis. , 1997, The Clinical journal of pain.

[9]  Margarete Lieb Zalon,et al.  Using and understanding factor analysis: the Brief Pain inventory. , 2006, Nurse researcher.

[10]  Michele T. Diaz,et al.  Function biomedical informatics research network recommendations for prospective multicenter functional MRI studies , 2012, Journal of magnetic resonance imaging : JMRI.

[11]  John A. Johnson,et al.  The international personality item pool and the future of public-domain personality measures ☆ , 2006 .

[12]  Maree T. Smith Urologic Chronic Pelvic Pain Syndromes , 2013 .

[13]  R. Spitzer,et al.  The PHQ-15: Validity of a New Measure for Evaluating the Severity of Somatic Symptoms , 2002, Psychosomatic medicine.

[14]  C. Sophia,et al.  MacArthur scale of subjective social status. , 2014 .