@misc{WippertPuschmannDriessleinetal.2017,
  author    = {Wippert, Pia-Maria and Puschmann, Anne-Katrin and Drießlein, David and Arampatzis, Adamantios and Banzer, Winfried and Beck, Heidrun and Schiltenwolf, Marcus and Schmidt, Hendrik and Schneider, Christian and Mayer, Frank},
  title     = {Development of a risk stratification and prevention index for stratified care in chronic low back pain. Focus: yellow flags (MiSpEx network)},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-403424},
  pages     = {11},
  year      = {2017},
  abstract  = {Introduction: Chronic low back pain (LBP) is a major cause of disability; early diagnosis and stratification of care remain challenges. Objectives: This article describes the development of a screening tool for the 1-year prognosis of patients with high chronic LBP risk (risk stratification index) and for treatment allocation according to treatment-modifiable yellow flag indicators (risk prevention indices, RPI-S). Methods: Screening tools were derived from a multicentre longitudinal study (n = 1071, age >18, intermittent LBP). The greatest prognostic predictors of 4 flag domains ("pain," "distress," "social-environment," "medical care-environment") were determined using least absolute shrinkage and selection operator regression analysis. Internal validity and prognosis error were evaluated after 1-year follow-up. Receiver operating characteristic curves for discrimination (area under the curve) and cutoff values were determined. Results: The risk stratification index identified persons with increased risk of chronic LBP and accurately estimated expected pain intensity and disability on the Pain Grade Questionnaire (0-100 points) up to 1 year later with an average prognosis error of 15 points. In addition, 3-risk classes were discerned with an accuracy of area under the curve = 0.74 (95\% confidence interval 0.63-0.85). The RPI-S also distinguished persons with potentially modifiable prognostic indicators from 4 flag domains and stratified allocation to biopsychosocial treatments accordingly. Conclusion: The screening tools, developed in compliance with the PROGRESS and TRIPOD statements, revealed good validation and prognostic strength. These tools improve on existing screening tools because of their utility for secondary preventions, incorporation of exercise effect modifiers, exact pain estimations, and personalized allocation to multimodal treatments.},
  language  = {en}
}
@article{WippertPuschmannDriessleinetal.2017,
  author    = {Wippert, Pia-Maria and Puschmann, Anne-Katrin and Drießlein, David and Arampatzis, Adamantios and Banzer, Winfried and Beck, Heidrun and Schiltenwolf, Marcus and Schmidt, Hendrik and Schneider, Christian and Mayer, Frank},
  title     = {Development of a risk stratification and prevention index for stratified care in chronic low back pain. Focus: yellow flags (MiSpEx network)},
  series = {Pain reports},
  volume    = {9},
  journal   = {Pain reports},
  publisher = {Wolters Kluwer Health},
  address   = {Riverwoods, IL},
  doi       = {10.1097/PR9.0000000000000623},
  pages     = {1 -- 11},
  year      = {2017},
  abstract  = {Introduction: Chronic low back pain (LBP) is a major cause of disability; early diagnosis and stratification of care remain challenges. Objectives: This article describes the development of a screening tool for the 1-year prognosis of patients with high chronic LBP risk (risk stratification index) and for treatment allocation according to treatment-modifiable yellow flag indicators (risk prevention indices, RPI-S). Methods: Screening tools were derived from a multicentre longitudinal study (n = 1071, age >18, intermittent LBP). The greatest prognostic predictors of 4 flag domains ("pain," "distress," "social-environment," "medical care-environment") were determined using least absolute shrinkage and selection operator regression analysis. Internal validity and prognosis error were evaluated after 1-year follow-up. Receiver operating characteristic curves for discrimination (area under the curve) and cutoff values were determined. Results: The risk stratification index identified persons with increased risk of chronic LBP and accurately estimated expected pain intensity and disability on the Pain Grade Questionnaire (0-100 points) up to 1 year later with an average prognosis error of 15 points. In addition, 3-risk classes were discerned with an accuracy of area under the curve = 0.74 (95\% confidence interval 0.63-0.85). The RPI-S also distinguished persons with potentially modifiable prognostic indicators from 4 flag domains and stratified allocation to biopsychosocial treatments accordingly. Conclusion: The screening tools, developed in compliance with the PROGRESS and TRIPOD statements, revealed good validation and prognostic strength. These tools improve on existing screening tools because of their utility for secondary preventions, incorporation of exercise effect modifiers, exact pain estimations, and personalized allocation to multimodal treatments.},
  language  = {en}
}
@inproceedings{HaegeleFriedelSchlagenhaufetal.2014,
  author    = {Haegele, Claudia and Friedel, Eva and Schlagenhauf, Florian and Sterzer, Philipp and Beck, Anne and Bermpohl, Felix and Rapp, Michael Armin and Stoy, Meline and Stroehle, Andreas and Dolan, Raymond J. and Heinz, Andreas},
  title     = {Reward expectation and affective responses across psychiatric disorders - A dimensional approach},
  series = {Biological psychiatry : a journal of psychiatric neuroscience and therapeutics ; a publication of the Society of Biological Psychiatry},
  volume    = {75},
  booktitle = {Biological psychiatry : a journal of psychiatric neuroscience and therapeutics ; a publication of the Society of Biological Psychiatry},
  number    = {9},
  publisher = {Elsevier},
  address   = {New York},
  issn      = {0006-3223},
  pages     = {91S -- 92S},
  year      = {2014},
  language  = {en}
}
@article{LorenzGleichBecketal.2014,
  author    = {Lorenz, Robert C. and Gleich, Tobias and Beck, Anne and Poehland, Lydia and Raufelder, Diana and Sommer, Werner and Rapp, Michael Armin and Kuehn, Simone and Gallinat, J{\"u}rgen},
  title     = {Reward anticipation in the adolescent and aging brain},
  series = {Human brain mapping : a journal devoted to functional neuroanatomy and neuroimaging},
  volume    = {35},
  journal   = {Human brain mapping : a journal devoted to functional neuroanatomy and neuroimaging},
  number    = {10},
  publisher = {Wiley-Blackwell},
  address   = {Hoboken},
  issn      = {1065-9471},
  doi       = {10.1002/hbm.22540},
  pages     = {5153 -- 5165},
  year      = {2014},
  abstract  = {Processing of reward is the basis of adaptive behavior of the human being. Neural correlates of reward processing seem to be influenced by developmental changes from adolescence to late adulthood. The aim of this study is to uncover these neural correlates during a slot machine gambling task across the lifespan. Therefore, we used functional magnetic resonance imaging to investigate 102 volunteers in three different age groups: 34 adolescents, 34 younger adults, and 34 older adults. We focused on the core reward areas ventral striatum (VS) and ventromedial prefrontal cortex (VMPFC), the valence processing associated areas, anterior cingulate cortex (ACC) and insula, as well as information integration associated areas, dorsolateral prefrontal cortex (DLPFC), and inferior parietal lobule (IPL). Results showed that VS and VMPFC were characterized by a hyperactivation in adolescents compared with younger adults. Furthermore, the ACC and insula were characterized by a U-shape pattern (hypoactivation in younger adults compared with adolescents and older adults), whereas the DLPFC and IPL were characterized by a J-shaped form (hyperactivation in older adults compared with younger groups). Furthermore, a functional connectivity analysis revealed an elevated negative functional coupling between the inhibition-related area rIFG and VS in younger adults compared with adolescents. Results indicate that lifespan-related changes during reward anticipation are characterized by different trajectories in different reward network modules and support the hypothesis of an imbalance in maturation of striatal and prefrontal cortex in adolescents. Furthermore, these results suggest compensatory age-specific effects in fronto-parietal regions. Hum Brain Mapp 35:5153-5165, 2014. (c) 2014 Wiley Periodicals, Inc.},
  language  = {en}
}