A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults
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LeDoux, J. E. The Emotional Brain. (Touchstone Book, 1996).
Nummenmaa, L., Glerean, E., Hari, R. & Hietanen, J. K. In Bodily maps of emotions. Proceedings Natl. Acad. Sci. USA 111, 646–651 (2014).
Schachter, S. & Singer, J. Cognitive, social, and physiological determinants of emotional state. Psychol. Rev. 69, 379–399 (1962).
Garfinkel, S. N. & Critchley, H. D. Threat and the body: how the heart supports fear processing. Trends Cogn. Sci. 20, 34–46 (2016).
Linden, W., Vodermaier, A., MacKenzie, R. & Greig, D. Anxiety and depression after cancer diagnosis: Prevalence rates by cancer type, gender, and age. J. Affect. Disord. 141, 343–351 (2012).
Lu, D. et al. Clinical diagnosis of mental disorders immediately before and after cancer diagnosis. JAMA Oncol 2, 1188–1196 (2016).
Pyter, L. M., Pineros, V., Galang, J. A., McClintock, M. K. & Prendergast, B. J. Peripheral tumors induce depressive-like behaviors and cytokine production and alter HPA regulation. PNAS 106, 9069–9074 (2009).
Chrousos, G. P. & Gold, P. W. The concepts of stress and stress system disorders: overview of physical and behavioral homeostasis. JAMA 267, 1244–1252 (1992).
Jonas, B. S. & Mussolino, M. E. Symptoms of depression as a prospective risk factor for stroke. Psychosom. Med. 62, 463–471 (2000).
Kubzansky, L. D. & Kawachi, I. Going to the heart of the matter: do negative emotions cause coronary heart disease? J. Psychosom Res. 48, 323–337 (2000).
Glover, G. H., Li, T. Q. & Ress, D. Image-based method for retrospective correction of physiological motion effects in fMRI: RETROICOR. Magn. Reson. Med. 44, 162–167 (2000).
Thayer, J. F., Åhs, F., Fredrikson, M., Sollers, J. J. & Wager, T. D. A meta-analysis of heart rate variability and neuroimaging studies: implications for heart rate variability as a marker of stress and health. Neurosci. Biobehav. Rev. 36, 747–756 (2012).
Etkin, A., Büchel, C. & Gross, J. J. The neural bases of emotion regulation. Nat. Rev. Neurosci. 16, 693–700 (2015).
Djuric, Z. et al. Biomarkers of Psychological Stress in Health Disparities Research. Open Biomark J. 1, 7–19 (2008).
Steptoe, A., Deaton, A. & Stone, A. A. Psychological wellbeing, health and ageing. Lancet 385, 640–648 (2015).
Baumgart, M. et al. Summary of the evidence on modifiable risk factors for cognitive decline and dementia: A population-based perspective. Alzheimer’s & Dementia 11, 718–726 (2015).
Mendes, N. et al. A Functional connectome phenotyping dataset including cognitive state and personality measures. Sci. Data. 6:180307, https://doi.org/10.1038/sdata.2018.307 (2019).
Niemann, H., Sturm, W., Thöne-Otto, A. I. & Willmes, K. California Verbal Learning Test (CVLT). German Adaptation. Manual. (Pearson, 2008).
Zimmermann, P. & Fimm, V. Testbatterie zur Aufmerksamkeitsprüfung (TAP). Version 2.3.1, https://www.psytest.net/index.php?page=TAP-2-2&hl=en_US (Psytest, 2012).
Reitan, R. M. Trail making test A & B. (Reitan Neuropsychology Laboratory, 1992).
Schmidt, K. H. & Metzler, P. WST: Wortschatztest. (Beltz, 1992).
Kreuzpointner, L., Lukesch, H. & Horn, W. Leistungsprüfsystem 2. LPS-2. Manual. (Hogrefe, 2013).
Aschenbrenner, S., Tucha, O. & Lange, K. W. RWT: Regensburger Wortflüssigkeits-Test. (Hogrefe, 2000).
LimeSurvey Project Team / Carsten Schmitz. LimeSurvey: An Open Source survey tool. LimeSurvey version 2.0. LimeSurvey Project Hamburg http://www.limesurvey.org, (2012).
Borkenau, P. & Ostendorf, F. NEO-Fünf-Faktoren Inventar nach Costa und McCrae (NEO-FFI). Manual (2. Aufl.). (Hogrefe, 2008).
Costa, P. T. & McCrae, R. R. Revised NEO Personality Inventory (NEO PI-R) and NEO Five Factor Inventory (NEO-FFI) Professional Manual. (Psychological Assessment Resources Inc., 1992).
Schmidt, R. E., Gay, P., d’Acremont, M. & Van der Linden, M. A German adaptation of the UPPS Impulsive Behavior Scale: Psychometric properties and factor structure. Swiss. J. Psychol. 67, 107–112 (2008).
Whiteside, S. P. & Lynam, D. R. The five factor model and impulsivity: Using a structural model of personality to understand impulsivity. Pers. Indiv.Differ. 30, 669–689 (2001).
Strobel, A., Beauducel, A., Debener, S. & Brocke, B. Eine deutschsprachige Version des BIS/BAS-Fragebogens von Carver und White. Zeitschrift für Differentielle und diagnostische Psychologie 22, 216–227 (2001).
Carver, C. S. & White, T. L. Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: the BIS/BAS scales. J. Pers. Soc. Psychol. 67, 319–333 (1994).
Abler, B. & Kessler, H. Emotion Regulation Questionnaire - Eine deutsche Version des ERQ von Gross & John. Diagnostica 55, 144–152 (2009).
Gross, J. J. & John, O. P. Individual differences in two emotion regulation processes: implications for affect, relationships, and well-being. J. Pers. Soc. Psychol. 85, 348–362 (2003).
Loch, N., Hiller, W. & Witthöft, M. Der cognitive emotion regulation questionnaire (CERQ). Zeitschrift für Klinische Psychologie und Psychotherapie 40, 94–106 (2011).
Garnefski, N., Kraaij, V. & Spinhoven, P. Negative life events, cognitive emotion regulation and emotional problems. Pers. Individ. Dif 30, 1311–1327 (2001).
Larsen, R. J., Prizmic, Z. Affect regulation. In: Baumeister, R. F. & Vohs, K. D. (Eds) Handbook of self-regulation: Research, theory, and applications, 40–61 (Guilford Press, 2004).
Fydrich, T., Sommer, G. & Brähler, E. F-SOZU: Fragebogen zur sozialen Unterstützung. (Hogrefe, 2007).
Fydrich, T., Sommer, G., Menzel, U. & Höll, B. Social Support Questionnaire (short-form; SozU-K-22). Z. Klin. Psychol. Psychother. 16, 434–436 (1987).
Zimet, G. D, Dahlem, N. W, Zimet, S. G ., & Farley, G. K. The Multidimensional Scale of Perceived Social Support. J. Pers. Assess. 52, 30–41 (1988).
Knoll, N., Rieckmann, N. & Schwarzer, R. Coping as a mediator between personality and stress outcomes: A longitudinal study with cataract surgery patients. Eur. J. Personality 19, 229–247 (2005).
Carver, C. S. You want to measure coping but your protocol’s too long: Consider the Brief COPE. Int. J. Behav. Med. 4, 92–100 (1997).
Glaesmer, H., Hoyer, J., Klotsche, J. & Herzberg, P. Y. Die Deutsche Version des Life-Orientation-Tests (LOT-R) zum dispositionellen Optimismus und Pessimismus. Zeitschrift für Gesundheitspsychologie 16, 26–31 (2008).
Scheier, M. F., Carver, C. S. & Bridges, M. W. Distinguishing optimism from neuroticism (and trait anxiety, self-mastery, and self-esteem): A re-evaluation of the Life Orientation Test. J. Pers. Soc. Psychol. 67, 1063–1078 (1994).
Fliege, H., Rose, M., Arck, P., Levenstein, S. & Klapp, B. F. Validierung des “Perceived Stress Questionnaire” (PSQ) an einer deutschen Stichprobe. Diagnostica 47, 142–152 (2001).
Levenstein, S. et al. Development of the Perceived Stress Questionnaire: A new tool for psychosomatic research. J. Psychosom. Res. 37, 19–32 (1993).
Schulz, P., Schlotz, W. & Becker, P. Trierer Inventar zum chronischen Stress: TICS. (Hogrefe, 2004).
Schulz, P. & Schlotz, W. Trierer Inventar zur Erfassung von chronischem Stress (TICS): Skalenkonstruktion, teststatistische Überprüfung und Validierung der Skala Arbeitsüberlastung. Diagnostica 45, 8–19 (1999).
Stunkard, A. J. & Messick, S. The three-factor eating questionnaire to measure dietary restraint, disinhibition and hunger. J. Psychosom. Res. 29, 71–83 (1985).
Pudel, D. & Westenhöfer, J. Fragebogen zum Eßverhalten (FEV). (Hogrefe, 1989).
Meule, A., Vögele, C. & Kübler, A. Deutsche Übersetzung und Validierung der Yale Food Addiction Scale-German translation and validation of the Yale Food Addiction Scale. Diagnostica 58, 115–126 (2012).
Gearhardt, A.N., Corbin, W.R. & Brownell, K.D. Preliminary validation of the Yale Food Addiction Scale. Appetite 52, 430–436 (2009).
Saß, H., Wittchen, H. U., Zaudig, M. & Houben, I. Diagnostische Kriterien. DSM-IV-TR. (Hogrefe, 2003).
Petrides, K. V. & Furnham, A. TEIQue-SF: Trait Emotional Intelligence Questionnaire-Short Form. J. Appl. Soc. Psychol. 36, 552–569 (2006).
Freudenthaler, H. H., Neubauer, A. C., Gabler, P. & Scherl, W. G. Testing the Trait Emotional Intelligence Questionnaire (TEIQue) in a German-speaking sample. Pers. Indiv. Differ. 45, 673–678 (2008).
Laux, L., Glanzmann, P., Schaffner, P. & Spielberger, C.D. Das State-Trait-Angstinventar. (Beltz Test, 1981).
Spielberger, C. D., Gorsuch, R. L. & Luschene, R. E. Manual for the State-Trait Anxiety Inventory. Manual for the State-Trait Anxiety Inventory. (Consulting Psychologists Press, 1970).
Schwenkmezger, P., Hodapp, V. & Spielberger, C. D. Das State-Trait-Ärgerausdrucks-Inventar STAX I. (Huber, 1992).
Spielberger, C. D. State-Trait Anger Expression Inventory (STAXI). Research edition. (Psychological Assessment Resources: Odessa, 1988).
Kupfer, J., Brosig, B. & Brähler, E. Toronto-Alexithymie-Skala-26. Deutsche Version (TAS-26). (Hogrefe, 2001).
Bagby, R. M., Parker, J. D. & Taylor, G. J. The twenty-item Toronto Alexithymia Scale—I. Item selection and cross-validation of the factor structure. J. Psychosom. Res. 38, 23–32 (1994).
Steyer, R., Schwenkmezger, P., Notz, P. & Eid, M. Der Mehrdimensionale Befindlichkeitsfragebogen. (Hogrefe, 1997).
Lang, F. R. & Carstensen, L. L. Time counts: future time perspective, goals, and social relationships. Psychol. Aging 17, 125–139 (2002).
Gorgolewski, K. J. et al. A correspondence between individual differences in the brain’s intrinsic functional architecture and the content and form of self-generated thoughts. PloS One 9, e97176 (2014).
Wittchen, H., Wunderlich, U. & Gruschwitz, S. SKID-I. Strukturiertes klinisches Interview für DSM-IV; Achse I: Psychische Störungen. (Hogrefe, 1997).
Saß, H., Wittchen, H. U. & Zaudig, M. Diagnostisches und statistisches Manual psychischer Störungen-DSM-IV. (Hogrefe: Göttingen, 1996).
Bohus, M. et al. The short version of the Borderline Symptom List (BSL-23): development and initial data on psychometric properties. Psychopathology 42, 32–39 (2008).
Sobell, L. C., Sobell, M. B. Timeline Follow Back. A technique for assessing self-reported alcohol consumption. In Litten R. & Allen J. eds. Measuring alcohol consumption. 41–72 (Humana Press, 1992).
Saunders, J. B., Aasland, O. G., Babor, T. F., De la Fuente, J. R. & Grant, M. Development of the alcohol use disorders identification test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption - II. Addiction 88, 791–804 (1993).
Hawks, R. L. & Chiang, C. N. Urine testing for drugs of abuse. (National Institute on Drug Abuse, 1986).
Jezzard, P. & Balaban, R. S. Correction for geometric distortion in echo planar images from B0 field variations. Magn. Reson. Med. 34, 65–73 (1995).
Reber, P. J, Wong, E. C., Buxton, R.B. & Frank, L.R. Correction of off resonance-related distortion in echo-planar imaging using EPI-based field maps. Magn. Reson. Med. 39, 328–330 (1998).
Chang, H. & Fitzpatrick, J. M. A technique for accurate magnetic resonance imaging in the presence of field inhomogeneities. IEEE Trans. Med. Imaging 11, 319–329 (1992).
Andersson, J. L., Skare, S. & Ashburner, J. How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging. NeuroImage 20, 870–888 (2003).
Marques, J. P. et al. MP2RAGE, a self bias-field corrected sequence for improved segmentation and T 1-mapping at high field. NeuroImage 49, 1271–1281 (2010).
Xu, J. et al. Evaluation of slice accelerations using multiband echo planar imaging at 3T. NeuroImage 83, 991–1001 (2013).
Moeller, S. et al. Multiband multislice GE‐EPI at 7 tesla, with 16‐fold acceleration using partial parallel imaging with application to high spatial and temporal whole‐brain fMRI. Magn. Reson. Med. 63, 1144–1153 (2010).
Feinberg, D. A. et al. Multiplexed echo planar imaging for sub-second whole brain FMRI and fast diffusion imaging. PloS One 5, e15710 (2010).
Jenkinson, M., Bannister, P., Brady, M. & Smith, S. Improved optimization for the robust and accurate linear registration and motion correction of brain images. NeuroImage 17, 825–841 (2002).
Jenkinson, M., Beckmann, C. F., Behrens, T. E., Woolrich, M. W. & Smith, S. M. Fsl. NeuroImage 62, 782–790 (2012).
Greve, D. N. & Fischl, B. Accurate and robust brain image alignment using boundary- based registration. NeuroImage 48, 63–72 (2009).
Behzadi, Y., Restom, K., Liau, J. & Liu, T. T. A component based noise correction method (CompCor) for BOLD and perfusion based fMRI. NeuroImage 37, 90–101 (2007).
Rokem, A., Trumpis, M. & Perez, F. Nitime: time-series analysis for neuroimaging data. in Proceedings. of the 8th Python in Science Conference 2 68–75 (Caltech, 2009).
Avants, B. B. et al. A reproducible evaluation of ANTs similarity metric performance in brain image registration. NeuroImage 54, 2033–2044 (2011).
Marques, J. P. & Gruetter, R. New developments and applications of the MP2RAGE sequence-focusing the contrast and high spatial resolution R1 mapping. PLoS One 8, e69294 (2013).
Waehnert, M. D. et al. A subject-specific framework for in vivo myeloarchitectonic analysis using high resolution quantitative MRI. Neuroimage 125, 94–107 (2016).
Lorio, S. et al. Neurobiological origin of spurious brain morphological changes: A quantitative MRI study. Hum. Brain Mapp. 37, 1801–1815 (2016).
Bazin, P.-L. et al. A computational framework for ultra-high resolution cortical segmentation at 7Tesla. NeuroImage 93, 201–209 (2014).
Dale, A. M., Fischl, B. & Sereno, M. I. Cortical surface-based analysis: I. Segmentation and surface reconstruction. NeuroImage 9, 179–194 (1999).
Fischl, B., Sereno, M. I. & Dale, A. M. Cortical surface-based analysis: II: inflation, flattening, and a surface-based coordinate system. NeuroImage 9, 195–207 (1999).
Setsompop, K et al. Blipped-controlled aliasing in parallel imaging for simultaneous multislice echo planar imaging with reduced g-factor penalty. Magn. Reson. Med. 67, 1210–1224 (2012).
Griswold, M.A. et al. Generalized autocalibrating partially parallel acquisitions (GRAPPA). Magn. Reson. Med. 47, 1202–1210 (2002).
Liu, C., Li, W., Tong, K.A., Yeom, K.W. & Kuzminski, S. Susceptibility-weighted imaging and quantitative susceptibility mapping in the brain. J. Magn. Reson. Imaging 42, 23–41 (2015).
Haacke, E. M., Mittal, S., Wu, Z., Neelavalli, Z. & Cheng, Y.-CN. Susceptibility-weighted imaging: technical aspects and clinical applications, part 1. Am. J. Neuroradiol. 30, 19–30 (2009).
Mittal, S., Wu, Z., Neelavalli, J. & Haacke, E. M. Susceptibility-weighted imaging: technical aspects and clinical applications, part 2. Am. J. Neuroradiol 30, 232–252 (2009).
Uecker, M. et al. ESPIRiT - An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magn. Reson. Med. 71, 990–1001 (2014).
Chatnuntawech, I. et al. Single-step quantitative susceptibility mapping with variational penalties. NMR Biomed. 30, e3570 (2016).
Deistung, A., Schweser, F. & Reichenbach., J. R. Overview of quantitative susceptibility mapping. NMR Biomed. 30, e3569 (2017).
Baruch, M. C. Pulse Decomposition Analysis of the digital arterial pulse during hemorrhage simulation. Nonlinear Biomed. Phys 5, 1–15 (2011).
Oostenveld, R. & Praamstra, P. The five percent electrode system for high-resolution EEG and ERP measurements. Clin. Neurophysiol. 112, 713–719 (2001).
Tadel, F., Baillet, S., Mosher, J. C., Pantazis, D. & Leahy, R. M. Brainstorm: a user-friendly application for MEG/EEG analysis. . Comput. Intell. Neurosci. 2011, 1–13 (2011).
Delorme, A. & Makeig, S. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics. J. Neurosci. Methods 134, 9–21 (2004).
Makeig, S., Bell, A. J., Jung, T.-P., Sejnowski, T. J. Independent component analysis of electroencephalographic data. In Touretzky D., Mozer M. & Hasselmo M. Eds. Advances in Neural Information Processing Systems 8, 145–151 (1996).
Gorgolewski, K. J. et al. BIDS Apps: Improving ease of use, accessibility and reproducibility of neuroimaging data analysis methods. PLoS Comp. Biol. 13, e1005209 (2017).
Schaworonkow, N. & Nikulin, V. V. Spatial neuronal synchronization and the waveform of oscillations: implications for EEG and MEG. bioRxiv, https://www.biorxiv.org/content/early/2018/08/27/401091 (2018).
Esteban, O. et al. MRIQC: Advancing the Automatic Prediction of Image Quality in MRI from Unseen Sites. PloS One 12, e0184661 (2017).
Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L. & Petersen, S. E. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. NeuroImage 59, 2142–2154 (2012).
Streiner, D. L. Starting at the beginning: an introduction to coefficient alpha and internal consistency. J. Pers. Assess. 80, 99–103 (2003).
Meule, A. & Gearhardt, A. N. Five years of the Yale Food Addiction Scale: Taking stock and moving forward. Current Addiction Reports 1, 193–205 (2014).
Kunzmann, U., Kappes, C. & Wrosch, W. Emotional aging: a discrete emotions perspective. Front. Psychol 5, 308 (2014).
Scott, S. B., Sliwinski, M. J. & Blanchard-Fields, F. Age differences in emotional responses to daily stress: The role of timing, severity, and global perceived stress. Psychol. and Aging 28, 4 (2013).
Functional Connectomes Project International Neuroimaging Data-Sharing Initiative https://doi.org/10.15387/fcp_indi.mpi_lemon (2018)