Ambulatory assessment

Annual Review of Clinical Psychology

Volumn 9, Issue , 2013, Pages 151-176

  Trull, Timothy J ^a   Ebner Priemer, Ulrich ^b,c  

^a UNIVERSITY OF MISSOURI   (United States)

^b KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

^c CENTRAL INSTITUTE OF MENTAL HEALTH   (Germany)

Author keywords

behavior observation; e diary; ecological validity; psychophysiological monitoring; smartphone

Indexed keywords

ANTIDEPRESSANT AGENT;

AMBULATORY ASSESSMENT; ANXIETY DISORDER; CLINICAL ASSESSMENT; CLINICAL DECISION MAKING; CLINICAL PSYCHOLOGY; COGNITIVE THERAPY; ETHICS; FIELD STUDY; GENOTYPE ENVIRONMENT INTERACTION; HUMAN; MAJOR DEPRESSION; OBSERVATIONAL STUDY; PATIENT COMPLIANCE; PATIENT MONITORING; PREDICTION; PRIVACY; RECURRENT DISEASE; RELAPSE; REVIEW; SELF MONITORING; SELF REPORT; SKILL; SUBSTANCE ABUSE; TEXT MESSAGING;

DATA COLLECTION; HUMANS; MENTAL DISORDERS; MONITORING, AMBULATORY; PSYCHOLOGY, CLINICAL;

EID: 84875903233     PISSN: 15485943     EISSN: 15485951     Source Type: Book Series    
DOI: 10.1146/annurev-clinpsy-050212-185510     Document Type: Review

References (126)

1. Aan Het Rot M, Hogenelst K, Schoevers RA. 2012. Mood disorders in everyday life: A systematic review of experience sampling and ecological momentary assessment studies. Clin. Psychol. Rev. 32:510-233
2. Adamo KB, Prince SA, Tricco AC, Connor-Gorber S, Tremblay MS. 2009. A comparison of indirect versus direct measures for assessing physical activity in the pediatric population: A systematic review. Int. J. Pediatr. Obes. 4:2-277
3. AharonyN,PanW,Ip C, Khayal I, PentlandA. 2011. Social fMRI: Investigating and shaping social mechanisms in the real world. Pervasive Mobile Comput. 7:643-599
4. Alpers GW. 2009. Ambulatory assessment in panic disorder and specific phobia. Psychol. Assess. 21:476-855
5. Aronen ET, Simola P, Soininen M. 2011. Motor activity in depressed children. J. Affect. Disord. 133:188-966
6. Barge-Schaapveld DQCM, Nicolson NA, van der Hoop RG, deVries MW. 1995. Changes in daily life experience associated with clinical improvement in depression. J. Affect. Disord. 34:139-544
7. Barge-Schaapveld DQCM, Nicolson NA. 2002. Effects of antidepressant treatment on the quality of daily life: An experience sampling study. J. Clin. Psychiatry 63:477-855
8. Barrett LF, Bliss-Moreau E, Duncan SL, Rauch SL, Wright CI. 2007. The amygdala and the experience of affect. Soc. Cogn. Affect. Neurosci. 2:73-833
9. Barta W, Tennen H, Litt M. 2011. Measurement reactivity in diary research. See Mehl & Conner 2011, pp. 108-233
10. Bauer S, Percevic R, Okon E,Meermann R, Kordy H. 2003. Use of text messaging in the aftercare of patients with bulimia nervosa. Eur. Eat. Disord. Rev. 11:279-900
11. Baune BT, Caliskan S,TodderD. 2007. Effects of adjunctive antidepressant therapywith quetiapine on clinical outcome, quality of sleep and daytime motor activity in patientswith treatment-resistant depression. Hum. Psychopharmacol. Clin. 22:1-99
12. Benedetti F, Dallaspezia S, Fulgosi MC, Barbini B, Colombo C, Smeraldi E. 2007. Phase advance is an actimetric correlate of antidepressant response to sleep deprivation and light therapy in bipolar depression. Chronobiol. Int. 24:921-377
13. Ben-Zeev D. 2012. Mobile technologies in the study, assessment, and treatment of schizophrenia. Schizophr. Bull. 38:384-855
14. Berkman ET, Falk EB, Lieberman MD. 2011. In the trenches of real-world self-control: Neural correlates of breaking the link between craving and smoking. Psychol. Sci. 22:498-506
15. Bussmann JBJ, Ebner-Priemer UW. 2011. Ambulatory activity monitoring: Assessing activity, posture, and motion patterns in daily life. See Mehl & Conner 2011, pp. 235-500
16. Caspi A, Sugden K, Moffitt TE, Taylor A, Craig IW, et al. 2003. Influence of life stress on depression: Moderation by a polymorphism in the 5-HTT gene. Science 301:386-899
17. Clough BA, Casey LM. 2011. Technological adjuncts to enhance current psychotherapy practices: A review. Clin. Psychol. Rev. 31:279-922
18. Cohn AM, Hunter-Reel D, Hagman BT, Mitchell J. 2011. Promoting behavior change from alcohol use through mobile technology: The future of ecological momentary assessment. Alcohol. Clin. Exp. Res. 35:2209-155
19. Collins RL, Morsheimer ET, Shiffman S, Paty JA, Gnys M, Papandonatos GD. 1998. Ecological momentary assessment in a behavioral drinking moderation training program. Exp. Clin. Psychopharmacol. 6:306-155
20. Conner TS, Barrett LF. 2012. Trends in ambulatory self-report: The role of momentary experience in psychosomatic medicine. Psychosom. Med. 74:327-377
21. Conner TS, Lehman BJ. 2011. Getting started: Launching a study in daily life. See Mehl & Conner 2011, pp. 89-1077
22. Conner TS, Reid KA. 2012. Effects of intensive mobile happiness reporting in daily life. Soc. Psychol. Personal. Sci. 3:315-233
23. Courvoisier DS, EidM, Lischetzke T. 2012. Compliance to a cell phone-based ecological momentary assessment study: The effect of time and personality characteristics. Psychol. Assess. 24:713-200
24. Depp CA, Mausbach B, Granholm E, Cardenas V, Ben-Zeev D, et al. 2010. Mobile interventions for severe mental illness: Design and preliminary data from three approaches. J. Nerv. Ment. Dis. 198:715-211
25. Dick DM. 2011. Gene-environment interaction in psychological traits and disorders. Annu. Rev. Clin. Psychol. 7:383-409
26. Do TMT, Blom J, Gatica-Perez D. 2011. Smartphone usage in the wild: A large-scale analysis of applications and context. In Proc. 13th Intl. Conf.Multimodal Interfaces, pp. 353-60. New York: Assoc. Comput.Mach
27. Dufau S, Dunabeitia JA, Moret-Tatay C, McGonigal A, Peeters D, et al. 2011. Smart phone, smart science: How the use of smartphones can revolutionize research in cognitive science. PLoS ONE 6:e249744
28. Duncan LE, Keller MC. 2011. A critical review of the first ten years of candidate gene-by-environment interaction research in psychiatry. Am. J. Psychiatry 168:1041-499
29. Ebner-Priemer UW, Eid M, Stabenow S, KleindienstN,Trull TJ. 2009. Analytic strategies for understanding affective (in)stability and other dynamic processes in psychopathology. J. Abnorm. Psychol. 118:195-2022
30. Ebner-Priemer UW, Kubiak T. 2007. Psychological and psychophysiological ambulatory monitoring-A review of hardware and software solutions. Eur. J. Psychol. Assess. 23:214-266
31. Ebner-Priemer UW, Kuo J, Kleindienst N, Welch SS, Reisch T, et al. 2007. State affective instability in borderline personality disorder assessed by ambulatory monitoring. Psychol. Med. 37:961-700
32. Ebner-PriemerUW,SawitzkiG. 2007. Ambulatory assessment of affective instability in borderline personality disorder: The effect of the sampling frequency. Eur. J. Psychol. Assess. 23:238-477
33. Ebner-Priemer UW, Trull T. 2009. Ecological momentary assessment of mood disorders and mood dysregulation. Psychol. Assess. 21:463-755
34. Ebner-Priemer UW, Trull T. 2011. Measuring temporal (in)stability and variability. See Mehl & Conner 2011, pp. 423-399
35. Eid M, Courvoisier DS, Lischetzke T. 2011. Structural equation modeling of ambulatory assessment data. See Mehl & Conner 2011, pp. 384-4066
36. Eisenberger NI, Gable SL, Lieberman MD. 2007. Functional magnetic resonance imaging responses relate to differences in real-world social experience. Emotion 7:745-544
37. Ellis-DaviesK, Sakkalou E, FowlerNC, Hilbrink EE, GattisM. 2012. CUE: The continuous unified electronic diary method. Behav. Res. Methods. 44:1063-788
38. Fahrenberg J, Myrtek M, eds. 2001. Progress in Ambulatory Assessment: CVomputer-Assisted Psychological and Psychophysiological Methods in Monitoring and Field Studies. Seattle, WA: Hogrefe & Huber
39. Finan PH, Tennen H, Thoemmes F, Zautra AJ, Davis MC. 2012. Ambulatory monitoring in the genetics of psychosomatic medicine. Psychosom. Med. 74:349-555
40. Forbes EE, Hariri AR, Martin SL, Silk JS, Moyles DL, et al. 2009. Altered striatal activation predicting real-world positive affect in adolescent major depressive disorder. Am. J. Psychiatry 166:64-733
41. Forbes EE, Stepp SD, Dahl RE, Ryan ND, Whalen D, et al. 2012. Real-world affect and social context as predictors of treatment response in child and adolescent depression and anxiety: An ecological momentary assessment study. J. Child. Adolesc. Psychopharmacol. 22:37-477
42. GeschwindN,Nicolson NA, Peeters F, van Os J, Barge-SchaapveldD,WichersM. 2011a. Early improvement in positive rather than negative emotion predicts remission from depression after pharmacotherapy. Eur. Neuropsychopharmacol. 21:241-477
43. GeschwindN, Peeters F,DrukkerM, van Os J, WichersM. 2011b. Mindfulness training increases momentary positive emotions and reward experience in adults vulnerable to depression: A randomized controlled trial. J. Consult. Clin. Psychol. 79:618-288
44. Geschwind N, Peeters F, Jacobs N, Delespaul P, Derom C, et al. 2010. Meeting risk with resilience: High daily life reward experience preserves mental health. Acta Psychiatr. Scand. 122:129-388
45. Goodwin MS. 2011. Passive telemetric monitoring: Novel methods. See Mehl & Conner 2011, pp. 251-666
46. Granholm E, Ben-Zeev D, Link PC, Bradshaw KR, Holden JL. 2012. Mobile Assessment and Treatment for Schizophrenia (MATS): A pilot trial of an interactive text-messaging intervention for medication adherence, socialization, and auditory hallucinations. Schizophr. Bull. 38:414-255
47. Grassi A, Preziosa A, Villani D, Riva G. 2007. A relaxing journey: The use of mobile phones for well-being improvement. Annu. Rev. CyberTherapy Telemed. 5:123-311
48. Gruber K,Moran PJ, Roth WT, Taylor CB. 2001. Computer-Assisted cognitive behavioral group therapy for social phobia. Behav. Ther. 32:155-655
49. Gunthert KC, Conner TS, Armeli S, Tennen H, Covault J, Kranzler HR. 2007. Serotonin transporter gene polymorphism (5-HTTLPR) and anxiety reactivity in daily life: A daily process approach to geneenvironment interaction. Psychosom. Med. 69:762-688
50. Haedt-Matt AA, Keel PK. 2011. Revisiting the affect regulation model of binge eating: A meta-Analysis of studies using ecological momentary assessment. Psychol. Bull. 137:660-811
51. Havermans R, Nicolson NA,Berkhof J, deVriesMW.2011. Patterns of salivary cortisol secretion and responses to daily events in patients with remitted bipolar disorder. Psychoneuroendocrinology 36:258-655
52. HenquetC, Rosa A,Delespaul P, Papiol S, Fananas L, et al. 2009.COMTVal158Met moderation of cannabisinduced psychosis: A momentary assessment study of "switching on" hallucinations in the flow of daily life. Acta Psychiatr. Scand. 119:156-600
53. Heron KE, Smyth JM. 2010. Ecological momentary interventions: Incorporating mobile technology into psychosocial and health behaviour treatments. Br. J. Health Psychol. 15:1-399
54. Houtveen JH, de Geus EJC. 2009. Noninvasive psychophysiological ambulatory recordings. Eur. Psychol. 14:132-411
55. HuffordMR. 2007. Special methodological challenges and opportunities in ecological momentary assessment. In The Science of Real-Time Data Capture: Self-Reports in Health Research, ed. AA Stone, S Shiffman, AA Atienza, L Nebeling, pp. 54-75. Oxford, UK: Oxford Univ. Presss
56. HuffordMR, Shields AL, Shiffman S, Paty JA, Balabanis M. 2002. Reactivity to ecological momentary assessment: An example using undergraduate problem drinkers. Psychol. Addict. Behav. 16:205-111
57. Jahng S, WoodPK,Trull TJ. 2008. Analysis of affective instability in ecological momentary assessment: Indices using successive difference and group comparison via multilevel modeling. Psychol. Methods 13:354-755
58. Kenardy JA, DowMG, JohnstonDW, Newman MG,Thomson A,TaylorCB. 2003. A comparison of delivery methods of cognitive-behavioral therapy for panic disorder: An international multicenter trial. J. Consult. Clin. Psychol. 71:1068-755
59. Killingsworth MA, Gilbert DT. 2010. A wandering mind is an unhappy mind. Science 330:9322
60. Kimhy D, Corcoran C. 2008. Use of Palm computer as an adjunct to cognitive-behavioural therapy with an ultra-high-risk patient: A case report. Early Interv. Psychiatry 2:234-411
61. Klosko JS, Barlow DH, Tassinari R, Cerny JA. 1990. A comparison of alprazolam and behavior therapy in treatment of panic disorder. J. Consult. Clin. Psychol. 58:77-844
62. Kubiak T, Stone AA. 2012. Ambulatorymonitoring of biobehavioral processes in health and disease. Psychosom. Med. 74:325-266
63. Links PS, Heisel MJ,Garland A. 2003. Affective instability in personality disorders. Am. J. Psychiatry 160:394-955
64. Luxton DD, McCann RA, BushNE, Mishkind MC, Reger GM. 2011. mHealth for mental health: Integrating smartphone technology in behavioral healthcare. Prof. Psychol. Res. Pract. 42:505-122
65. Mehl MR, Conner TS, eds. 2011. Handbook of Research Methods for Studying Daily Life. New York: Guilford
66. Mehl MR, Robbins ML. 2011. Naturalistic observation sampling: The Electronically Activated Recorder (EAR). See Mehl & Conner 2011, pp. 176-922
67. Meuret AE, Rosenfield D, Wilhelm FH, Zou E, Conrad A, et al. 2011. Do unexpected panic attacks occur spontaneously? Biol. Psychiatry 70:985-911
68. Miller G. 2012. The smartphone psychology manifesto. Perspect. Psychol. Sci. 7:221-377
69. Moffitt TE, Caspi A, Rutter M. 2005. Strategy for investigating interactions between measured genes and measured environments. Arch. Gen. Psychiatry 62:473-811
70. Morris ME, Kathawala Q, Leen TK, Gorenstein EE, Guilak F, et al. 2010. Mobile therapy: CVase study evaluations of a cell phone application for emotional self-Awareness. J. Med. Internet Res. 12:33-500
71. Myin-Germeys I, Krabbendam L, Delespaul PA, van Os J. 2003. Do life events have their effect on psychosis by influencing the emotional reactivity to daily life stress? Psychol. Med. 33:327-333
72. Myin-Germeys I, Oorschot M, Collip D, Lataster J, Delespau P, vanOs J. 2009. Experience sampling research in psychopathology: Opening the black box of daily life. Psychol. Med. 39:1533-477
73. Newman MG, Consoli AJ, Taylor CB. 1999. A palmtop computer program for the treatment of generalized anxiety disorder. Behav. Modif. 23:597-6199
74. Newman MG, Kenardy JA, Herman S, Taylor CB. 1997. Comparison of palmtop-computer-Assisted brief cognitive-behavioral treatment to cognitive-behavioral treatment for panic disorder. J. Consult. Clin. Psychol. 65:178-833
75. Nica EI, Links PS. 2009. Affective instability in borderline personality disorder: Experience sampling findings. Curr. Psychiatry Rep. 11:74-811
76. Norton M, Wonderlich SA, Myers T, Mitchell JE, Crosby RD. 2003. The use of palmtop computers in the treatment of bulimia nervosa. Eur. Eat. Disord. Rev. 11:231-422
77. Oorschot M, Kwapil T, Delespaul P, Myin-Germeys I. 2009. Momentary assessment research in psychosis. Psychol. Assess. 21:498-5055
78. Palmier-Claus JE, Myin-Germeys I, Barkus E, Bentley L, Udachina A, et al. 2011. Experience sampling research in individuals with mental illness: Reflections and guidance. Acta Psychiatr. Scand. 123:12-200
79. Peeters F, Berkhof J, Rottenberg J, Nicolson NA. 2010. Ambulatory emotional reactivity to negative daily life events predicts remission from major depressive disorder. Behav. Res. Ther. 48:754-600
80. Peeters F, Nicolson NA, Berkhof J, Delespaul PA, de VriesMW. 2003. Effects of daily events on mood states in major depressive disorder. J. Abnorm. Psychol. 112:203-111
81. Portio Res. 2012. Portio Research Mobile Factbook 2012. Chippenham, UK: Portio Res. http://www. portioresearch.com/media/1797/Mobile%20Factbook%202012. pdf
82. Prince SA, Adamo KB, Hamel ME, Hardt J, Gorber SC, Tremblay M. 2008. A comparison of direct versus self-report measures for assessing physical activity in adults a systematic review. Int. J. Behav. Nutr. Phys. Act. 5:566
83. Przeworski A, Newman MG. 2004. Palmtop computer-Assisted group therapy for social phobia. J. Clin. Psychol. 60:179-888
84. Rachuri KK, Musolesi M, Mascolo C, Rentfrow PJ, Longworth C, Aucinas A. 2010. EmotionSense: A mobile phone based adaptive platform for experimental social psychology research. In Proc. 12th ACM Intl. Conf. Ubiquitous Comput. (UbiComp '10), pp. 281-90. New York: Assoc. Comput. Mach
85. Ray LA, Miranda R Jr, Tidey JW, McGeary JE, MacKillop J, et al. 2010. Polymorphisms of the mu-opioid receptor and dopamine D4 receptor genes and subjective responses to alcohol in the natural environment. J. Abnorm. Psychol. 119:115-255
86. RazaviN,HornH, Koschorke P,Hügli S,HöfleO, et al. 2011. Measuringmotor activity inmajor depression: The association between theHamilton Depression Rating Scale and actigraphy. Psychiatry Res. 190:212-166
87. Rizvi SL, Dimeff LA, Skutch J, Carroll D, Linehan MM. 2011. A pilot study of the DBT coach: An interactive mobile phone application for individuals with borderline personality disorder and substance use disorder. Behav. Ther. 42:589-6000
88. Robinson S, Perkins S, Bauer S, Hammond N, Treasure J, Schmidt U. 2006. Aftercare intervention through text messaging in the treatment of bulimia nervosa-feasibility pilot. Int. J. Eat. Disord. 39:633-388
89. Santangelo P, Bohus M, Ebner-Priemer UW. 2012. Ecological momentary assessment in borderline personality disorder: A review on recent findings and methodological challenges. J. Personal. Disord. In presss
90. Schuller B, Batliner A, Steidl S, Seppi D. 2011. Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge. Speech Commun. 53:1062-877
91. SchwarzN. 2011. Why researchers should think "real-Time"-A cognitive rationale. See Mehl&Conner 2011, pp. 22-422
92. Shapiro JR,Bauer S, AndrewsE, PisetskyE,Bulik-Sullivan B, et al. 2010. Mobile therapy: Use of text-messaging in the treatment of bulimia nervosa. Int. J. Eat. Disorder 43:513-199
93. Shepard C, Rahmati A, Tossell C, Zhong L, Kortum P. 2011. LiveLab: Measuring wireless networks and smartphone users in the field. Sigmetrics Perform. Eval. Rev. 38:15-200
94. Shiffman S. 2009. Ecological momentary assessment (EMA) in studies of substance use. Psychol. Assess. 21:486-977
95. Shiffman S, Paty JA, Gnys M, Kassel JA, Hickcox M. 1996. First lapses to smoking: Within-subjects analysis of real-Time reports. J. Consult. Clin. Psychol. 64:366-799
96. Shiffman S, Stone AA, HuffordMR. 2008. Ecological momentary assessment. Annu. Rev. Clin. Psychol. 4:1-322
97. Smith A. 2012. 46% of American Adults Are Smartphone Owners. Washington, DC: Pew Res. Cent. Internet Am. Life Proj. http://pewinternet.org/∼/media// Files/Reports/2012/Smartphone%20ownership%202012.pdf
98. Solhan M, Trull TJ, Jahng S, Wood P. 2009. Clinical assessment of affective instability: CVomparing EMA indices, questionnaire reports, and retrospective recall. Psychol. Assess. 21:425-366
99. Solzbacher S, Böttger D, Memmesheimer M, Mussgay L, Rüddel H. 2007. Improving tension regulation in patients with personality disorders, post-Traumatic stress disorder and bulimia. In Frontiers in Stepped eCare-eHealth Methods in Behavioural and Psychosomatic Medicine, ed.MJ Sorbi,HRüddel, MEF Bühring, pp. 111-19. Utrecht, Netherlands: Univ. Utrechtt
100. Sorbi MJ, Mak M, Houtveen JH, Kleiboer AM, van Doornen LJ. 2007. Mobile Web-based monitoring and coaching: Feasibility in chronic migraine. J. Med. Internet Res. 31:e388
101. Spaniel F, Vohlídka P, Hrdlicka J, Kozený J, Novák T, et al. 2008a. ITAREPS: Information Technology Aided Relapse Prevention Programme in Schizophrenia. Schizophr. Res. 98:312-177
102. Spaniel F, Vohlídka P, Kozený J, Novák T, Hrdlicka J, et al. 2008b. The Information Technology Aided Relapse Prevention Programme in Schizophrenia: An extension of a mirror-design follow-up. Int. J. Clin. Pract. 62:1943-466
103. Stone AA, Shiffman S. 1994. Ecological momentary assessment (EMA) in behavioral medicine. Ann. Behav. Med. 16:199-2022
104. Stone AA, Shiffman S. 2002. Capturing momentary self-report data: A proposal for reporting guidelines. Ann. Behav. Med. 24:236-433
105. Stone AA, Shiffman S, Atienza AA, Nebeling L, eds. 2007. The Science of Real-Time Data Capture: Self-Reports in Health Research. New York: Oxford Univ. Presss
106. Stone AA, Shiffman S, Schwartz JE, Broderick JE, Hufford MR. 2002. Patient non-compliance with paper diaries. BMJ 324:1193-944
107. Telford C, McCarthy-Jones S, Corcoran R, Rowse G. 2012. Experience sampling methodology studies of depression: The state of the art. Psychol. Med. 42:1119-299
108. Thurm S, Kane YI. 2010. Your apps are watching you. Wall Street J. http://online.wsj.com/article/ SB10001424052748704694004576020083703574602.html
109. Tomko RL, Brown WC, Tragesser SL, Wood PK, Mehl MR, Trull TJ. 2012. Social context of anger in borderline personality disorder and depressive disorders: Findings from a naturalistic observation study. J. Personal. Disord. In presss
110. Trull TJ, Ebner-Priemer UW. 2009. Using experience sampling methods/ecological momentary assessment (ESM/EMA) in clinical assessment and clinical research: Introduction to the special section. Psychol. Assess. 21:457-622
111. Trull TJ, Solhan MB, Tragesser SL, Jahng S, Wood PK, et al. 2008. Affective instability: Measuring a core feature of borderline personality disorder with ecological momentary assessment. J. Abnorm. Psychol. 117:647-611
112. Tryon WW, Tryon GS, Kazlausky T, Gruen W, Swanson JM. 2006. Reducing hyperactivity with a feedback actigraph: Initial findings. Clin. Child Psychol. Psychiatry 11:607-177
113. Vahabzadeh M, Mezghanni M, Lin J, Epstein DH, Preston KL. 2010. PGIS: Electronic diary data integration with GPS data initial application in substance-Abuse patients. In Proc. 23rd IEEE Symp. Comput.-Based Med. Syst., pp. 474-79. Perth, Austral.: CVBMSS
114. van Winkel R, Henquet C, Rosa A, Papiol S, Fananas L, et al. 2008. Evidence that the COMT Val158Met polymorphism moderates sensitivity to stress in psychosis: An experience sampling study. Am. J. Med. Genet. B 147B:10-177
115. Walther S, Federspiel A,Horn H, Razavi N,Wiest R, et al. 2011. Alterations of white matter integrity related to motor activity in schizophrenia. Neurobiol. Dis. 42:276-833
116. Walther S, Hügli S, Höfle O, Federspiel A, Horn H, et al. 2012. Frontal white matter integrity is related to psychomotor retardation in major depression. Neurobiol. Dis. 47:13-199
117. Wenze SJ, Miller IW. 2010. Use of ecological momentary assessment in mood disorders research. Clin. Psychol. Rev. 30:794-8044
118. Wichers MC, Barge-Schaapveld DQCM, Nicolson NA, Peeters F, de Vries M, et al. 2009. Reduced stresssensitivity or increased reward experience: The psychological mechanism of response to antidepressant medication. Neuropsychopharmacology 34:923-311
119. Wichers MC, Hartmann JA, Kramer IM, Lothmann C, Peeters F, et al. 2011. Translating assessments of the film of daily life into person-Tailored feedback interventions in depression. Acta Psychiatr. Scand. 123:402-433
120. WichersM, LothmannC, SimonsCJ, Nicolson NA, Peeters F. 2012. The dynamic interplay between negative and positive emotions in daily life predicts response to treatment in depression: A momentary assessment study. Br. J. Clin. Psychol. 51:206-222
121. WichersMC, Myin-Germeys I, Jacobs N, Peeters F, Kenis G, et al. 2007. Evidence that moment-To-moment variation in positive emotions buffer genetic risk for depression: A momentary assessment twin study. Acta Psychiatr. Scand. 115:451-577
122. Wichers MC, Peeters F, Geschwind N, Jacobs N, Simons CJ, et al. 2010. Unveiling patterns of affective responses in daily life may improve outcome prediction in depression: A momentary assessment study. J. Affect. Disord. 124:191-955
123. Wilhelm FH, Grossman P. 2010. Emotions beyond the laboratory: Theoretical fundaments, study design, and analytic strategies for advanced ambulatory assessment. Biol. Psychiatry 84:552-699
124. Wilhelm FH, Grossman P, Mueller M. 2011. Bridging the gap between laboratory and the real word: Integrative ambulatory psychophysiology. See Mehl & Conner 2011, pp. 210-344
125. Wilhelm P, Perrez M, Pawlik K. 2011. Conducting research in daily life: A historical overview. See Mehl & Conner, pp. 62-866
126. Wilson TD, Dunn EW. 2004. Self-knowledge: Its limits, value, and potential for improvement. Annu. Rev. Psychol. 55:1-266