search
Back to results

Cognitive Health Research on Musical Arts (CHROMA)

Primary Purpose

Cognitive Impairment, Creativity

Status
Unknown status
Phase
Not Applicable
Locations
United States
Study Type
Interventional
Intervention
Musical arts intervention
Sponsored by
William Marsh Rice University
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional supportive care trial for Cognitive Impairment focused on measuring mild cognitive impairment, musical arts, whole brain network, cognition, aging

Eligibility Criteria

18 Years - 90 Years (Adult, Older Adult)All SexesDoes not accept healthy volunteers

Inclusion Criteria:

  • Diagnosed with early to moderate mild cognitive impairment (self-described and confirmed by physician).
  • Able to read and write in English
  • Grip strength no lower than 2 standard deviation below the average in their age group

Exclusion Criteria:

  • Significant visual or auditory impairment resulting in the inability to read and/or hear the questionnaires
  • Class III heart failure
  • Autoimmune and/or inflammatory disorders
  • Any implanted medical device that renders one unable to undergo fMRI scanning
  • Pregnant or nursing women
  • Weight > 300lb or BMI over 40
  • Professional musician
  • Diagnosed with comorbid Parkinson's Disease

Sites / Locations

  • Rice University Bioscience Research CollaborativeRecruiting

Arms of the Study

Arm 1

Arm 2

Arm Type

Experimental

No Intervention

Arm Label

Music Group

Non-music group

Arm Description

Individuals in the music group will complete two assessment visit (pre-intervention and post-intervention). After their baseline visit, they will participate in a 6-week group music class, scheduled for 2 hours a day, 3 days a week. The daily music workshops will be led by a musician associated with the Rice Shepherd School of Music. Each week will be carefully scaled in difficulty, with the workshops becoming progressively more sophisticated. For instance, the first week's listening will focus on short and more familiar works such as instrumental etudes and folk songs. Gradually, the instructor will build towards symphonic movements, as well as more unfamiliar and experimental music. The course will culminate in creating a final composition.

Individuals in the non-music group will complete two assessment visits separated by 2-3 months. They will be asked not to participate in any other music-related courses during the time they are enrolled in the study. At the end of participation, participants will be given resources to seek out music classes.

Outcomes

Primary Outcome Measures

Change from baseline in functional resting state brain activity at follow-up visit.
Modularity and flexibility will act as quantifiers of neural activity. Modularity is the degree to which neural activity within a group of brain regions is more highly correlated than is activity between such groups, and flexibility is the dynamic reorganization of these groups.
Mean change from baseline in level of creativity using scores on Guilford's alternative Uses Divergent Thinking Test
Total scores are derived based on fluency, flexibility, originality, and elaboration. Higher scores indicate greater creativity. There is no max score.
Mean change in scores from baseline in perceived social support subscales of the Medical Outcomes Studies, including emotional support, tangible support, affectionate support, and positive social interactions.
Scores are transformed to a 0-100 scale. Higher scores on the self-report social support scale indicate a larger degree of perceived social support in each of these domains: emotional support, tangible support, affectionate support, and positive social interaction.
Mean change from baseline in quality of life scores each subscale of the SF-36
Eight subscales measuring quality of life are scored out of 100. These subscales include: physical functioning, role limitations due to physical health, role limitations due to emotional problems, energy/fatigue, emotional well-being, social functioning, pain, general and health. Lower scores indicate greater disability.
Mean change from baseline in inhibition and inhibition/switching trials on the color-word interference test of the Delis Kaplan Executive Function System (DKEFS)
Higher scores for inhibition and inhibition/switching trials indicate greater executive functioning. Scaled and raw scores will be assessed. There is no minimum and maximum score.
Mean change from baseline in cognitive scores (digit span forward, digit span backward, digit span sequencing, and total raw score) on the digit span test of the Wechsler Adult Intelligence Scale (WAIS).
Higher scores indicate greater working memory ability. Each subscale (forward, backward, and sequencing) has a maximum score of 16. The maximum total raw score is 48.
Mean change from baseline in perseverative errors on the Wisconsin Card Sorting Test (WCST)
The Wisconsin Card Sorting Test assess executive control. Scores on the WCST are based on percentages of categories achieved, errors, and perseveration errors. Greater number of perseverative errors indicate poorer executive control.
Mean change from baseline in affect scores on the Positive and Negative Affect Scale
Two scales measuring positive and negative affect. Scores range from 10-50 on each scale. Higher scores on positive affect scale indicate higher levels of positive affect. Lower scores on the negative affect scale indicate lower levels of negative affect.
Mean change from baseline in emotion regulation scores on the Emotional Regulation Scale
The self-report questionnaire measures the extent to which one uses cognitive appraisal or suppression techniques to regulate emotions. Higher scores on each subscale indicate greater use of that regulation strategy. Scores are continuous. The emotional reappraisal scale has a max score of 42. The emotional suppression scale has a max score of 28.

Secondary Outcome Measures

Mean change in inflammation from enrollment (baseline) to follow-up visit
Serum cytokines and C-reactive protein will be assessed as a biomarker of systemic inflammation. These specific cytokines include: T-cell stimulated IL-6, TNFa, IFNg, IL17a, IL-2. Higher volume (pg/mL) of these individual proinflammatory biomarkers indicates higher levels of inflammation.

Full Information

First Posted
October 8, 2019
Last Updated
October 23, 2019
Sponsor
William Marsh Rice University
Collaborators
Methodist Research Institute: Center for Performing Arts Medicine, National Endowment for the Arts, United States, Musiqa
search

1. Study Identification

Unique Protocol Identification Number
NCT04137913
Brief Title
Cognitive Health Research on Musical Arts
Acronym
CHROMA
Official Title
Project CHROMA (Cognitive Health Research on Musical Arts)
Study Type
Interventional

2. Study Status

Record Verification Date
October 2019
Overall Recruitment Status
Unknown status
Study Start Date
May 29, 2019 (Actual)
Primary Completion Date
April 30, 2021 (Anticipated)
Study Completion Date
April 30, 2021 (Anticipated)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Sponsor
Name of the Sponsor
William Marsh Rice University
Collaborators
Methodist Research Institute: Center for Performing Arts Medicine, National Endowment for the Arts, United States, Musiqa

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No

5. Study Description

Brief Summary
This study is designed to assess the therapeutic effect that music creativity engagement has on cognition and social/emotional well-being, with a special interest in quantifying the associated connectivity changes in the brain. Investigators will measure the effect that a creative music intervention has on health-related outcomes for mild cognitive impairment (MCI) patients using novel neural markers, laboratory-based cognitive tasks, assessments of loneliness, perceptions of stress, and social support.
Detailed Description
General outline: All eligible participants who choose to participate in this study will be asked to complete one baseline visit and one follow-up visit. MCI participants will be randomly assigned to either the experimental group (music group) or control group (non-music group) when their study enrollment is confirmed. The study may take place at different locations depending on assessments. Screening assessments will take place over the phone and in-person with a research staff member. Baseline and follow-up assessments will take place on campus at the Bioscience Research Collaborative (BRC) and at the Methodist Research Institute-Translational Imaging Center. Assessment visits. Interested individuals will complete the first visit for a baseline blood draw, health assessments, cognitive and behavioral tasks, and social and emotional well-being assessments at Rice University's BioScience Research Collaborative (BRC) building, Suite 140. Participants will transport themselves or be brought to the BRC building by their caregiver or family member. Baseline and follow-up neuroimaging will be performed at Methodist Research Institute-Translational Imaging Center. Additionally, the social, physical, and emotional wellbeing of the participant and the caregiver (if present) will be assessed with a battery of questionnaires before and after the intervention. Visits will be scheduled to start between 7:30 AM and 10:30 AM. A research coordinator will provide a detailed description of the study, answer questions, and obtain written informed consent. Participants will complete questionnaires, cognitive tasks, and health assessments (measuring heart rate, weight, blood pressure, and waistline measurements) and have blood drawn. Caregivers, if consented to participate, will fill out self-report questionnaires pertaining to social and emotional well-being. Neural activity using the fMRI will be collected in the Houston Methodist Hospital Translational Imaging Center. After completing the music course, participants will be scheduled for one follow-up visit. The baseline and follow-up visits should last about 2-3 hours at the BRC and about 1.5 hours at Methodist Imaging Center. Music intervention. Participants in the experimental group will undergo a 6-week music training headed by a musician associated with the Rice's Shepherd School of Music. The music intervention will take place on the main campus of Rice University or at the Bioscience Research Collaborative. The 6-week creative music course designed by Dr. Brandt and the other award-winning composers of Musiqa will be taught by graduate student composers from the Rice Shepherd School of Music. To make the course as accessible as possible, participants will not need to be able to read musical notation or have any prior musical background, and course instructors will utilize established ways of effectively inspiring untrained musicians. J. Todd Frazier, director of the Center for Performing Arts Medicine (CPAM) of Houston Methodist Hospital in the TMC, will aid in planning a concert in the Center's Margaret Alkek Williams Crain Garden Performance Series, at which participants will perform their final compositions for family, caregivers, and members of the community. The chosen curriculum and assessment plan is supported by preliminary work in collaboration with CPAM regarding the benefit of music to neuroplasticity.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Cognitive Impairment, Creativity
Keywords
mild cognitive impairment, musical arts, whole brain network, cognition, aging

7. Study Design

Primary Purpose
Supportive Care
Study Phase
Not Applicable
Interventional Study Model
Parallel Assignment
Model Description
Half the participants will be placed in the experimental group while the other half will be placed in the non wait-list control group. Individuals in the control group will not be given the music intervention during their enrollment in the study. Due to the lack of funds, the research team is unable to provide individuals in the control group with the intervention after the study.
Masking
None (Open Label)
Masking Description
Due to limited funding, the research team is unable to conduct a truly randomized clinical trial. Research staff assessing baseline assessment (pre-intervention) and follow-up assessments (post-intervention) will not be intentionally masked. Participants also will not be masked. During the screening process, participants are told that they are randomized into a certain group.They are informed which group they have been assigned to at their baseline visit. However, in actuality they are not completely randomized because participants will be recruited in cohorts: all experimental participants will be recruited first, followed by the recruitment of non-waitlist controls. When all experimental participants have been recruited, control participants will be recruited thereafter. Because control participants will not receive the music intervention after the study, the recruitment method will change when controls are recruited for the study. Hence, the non-randomized design of this study.
Allocation
Non-Randomized
Enrollment
60 (Anticipated)

8. Arms, Groups, and Interventions

Arm Title
Music Group
Arm Type
Experimental
Arm Description
Individuals in the music group will complete two assessment visit (pre-intervention and post-intervention). After their baseline visit, they will participate in a 6-week group music class, scheduled for 2 hours a day, 3 days a week. The daily music workshops will be led by a musician associated with the Rice Shepherd School of Music. Each week will be carefully scaled in difficulty, with the workshops becoming progressively more sophisticated. For instance, the first week's listening will focus on short and more familiar works such as instrumental etudes and folk songs. Gradually, the instructor will build towards symphonic movements, as well as more unfamiliar and experimental music. The course will culminate in creating a final composition.
Arm Title
Non-music group
Arm Type
No Intervention
Arm Description
Individuals in the non-music group will complete two assessment visits separated by 2-3 months. They will be asked not to participate in any other music-related courses during the time they are enrolled in the study. At the end of participation, participants will be given resources to seek out music classes.
Intervention Type
Behavioral
Intervention Name(s)
Musical arts intervention
Intervention Description
A 6-week group music class that incorporates listening, theory, performance, and creation of music.
Primary Outcome Measure Information:
Title
Change from baseline in functional resting state brain activity at follow-up visit.
Description
Modularity and flexibility will act as quantifiers of neural activity. Modularity is the degree to which neural activity within a group of brain regions is more highly correlated than is activity between such groups, and flexibility is the dynamic reorganization of these groups.
Time Frame
Functional magnetic resonance imaging will be obtained at enrollment and within one month since the completion of the music course.
Title
Mean change from baseline in level of creativity using scores on Guilford's alternative Uses Divergent Thinking Test
Description
Total scores are derived based on fluency, flexibility, originality, and elaboration. Higher scores indicate greater creativity. There is no max score.
Time Frame
Creativity will be measured at enrollment and within one month since the completion of the music course.
Title
Mean change in scores from baseline in perceived social support subscales of the Medical Outcomes Studies, including emotional support, tangible support, affectionate support, and positive social interactions.
Description
Scores are transformed to a 0-100 scale. Higher scores on the self-report social support scale indicate a larger degree of perceived social support in each of these domains: emotional support, tangible support, affectionate support, and positive social interaction.
Time Frame
Creativity will be measured at enrollment and within one month since the completion of the music course.
Title
Mean change from baseline in quality of life scores each subscale of the SF-36
Description
Eight subscales measuring quality of life are scored out of 100. These subscales include: physical functioning, role limitations due to physical health, role limitations due to emotional problems, energy/fatigue, emotional well-being, social functioning, pain, general and health. Lower scores indicate greater disability.
Time Frame
Quality of life will be measured at enrollment and within one month since the completion of the music course.
Title
Mean change from baseline in inhibition and inhibition/switching trials on the color-word interference test of the Delis Kaplan Executive Function System (DKEFS)
Description
Higher scores for inhibition and inhibition/switching trials indicate greater executive functioning. Scaled and raw scores will be assessed. There is no minimum and maximum score.
Time Frame
Cognitive scores will be measured at enrollment and within one month since the completion of the music course.
Title
Mean change from baseline in cognitive scores (digit span forward, digit span backward, digit span sequencing, and total raw score) on the digit span test of the Wechsler Adult Intelligence Scale (WAIS).
Description
Higher scores indicate greater working memory ability. Each subscale (forward, backward, and sequencing) has a maximum score of 16. The maximum total raw score is 48.
Time Frame
Cognitive scores will be measured at enrollment and within one month since the completion of the music course.
Title
Mean change from baseline in perseverative errors on the Wisconsin Card Sorting Test (WCST)
Description
The Wisconsin Card Sorting Test assess executive control. Scores on the WCST are based on percentages of categories achieved, errors, and perseveration errors. Greater number of perseverative errors indicate poorer executive control.
Time Frame
Cognitive scores will be measured at enrollment and within one month since the completion of the music course.
Title
Mean change from baseline in affect scores on the Positive and Negative Affect Scale
Description
Two scales measuring positive and negative affect. Scores range from 10-50 on each scale. Higher scores on positive affect scale indicate higher levels of positive affect. Lower scores on the negative affect scale indicate lower levels of negative affect.
Time Frame
Daily affect scores will be measured for 7 days after enrollment and 7 days after the final follow-up visit that will take place within 1 month after the completion of the music course.
Title
Mean change from baseline in emotion regulation scores on the Emotional Regulation Scale
Description
The self-report questionnaire measures the extent to which one uses cognitive appraisal or suppression techniques to regulate emotions. Higher scores on each subscale indicate greater use of that regulation strategy. Scores are continuous. The emotional reappraisal scale has a max score of 42. The emotional suppression scale has a max score of 28.
Time Frame
Emotion regulation scores will be measured at enrollment and at the follow-up visit that will take place within one month after the completion of the music course.
Secondary Outcome Measure Information:
Title
Mean change in inflammation from enrollment (baseline) to follow-up visit
Description
Serum cytokines and C-reactive protein will be assessed as a biomarker of systemic inflammation. These specific cytokines include: T-cell stimulated IL-6, TNFa, IFNg, IL17a, IL-2. Higher volume (pg/mL) of these individual proinflammatory biomarkers indicates higher levels of inflammation.
Time Frame
Blood will be drawn at enrollment and within one month after the completion of the music study (for experimental group).

10. Eligibility

Sex
All
Minimum Age & Unit of Time
18 Years
Maximum Age & Unit of Time
90 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria: Diagnosed with early to moderate mild cognitive impairment (self-described and confirmed by physician). Able to read and write in English Grip strength no lower than 2 standard deviation below the average in their age group Exclusion Criteria: Significant visual or auditory impairment resulting in the inability to read and/or hear the questionnaires Class III heart failure Autoimmune and/or inflammatory disorders Any implanted medical device that renders one unable to undergo fMRI scanning Pregnant or nursing women Weight > 300lb or BMI over 40 Professional musician Diagnosed with comorbid Parkinson's Disease
Central Contact Person:
First Name & Middle Initial & Last Name or Official Title & Degree
Kristi Parker, M.Ed
Phone
713-348-8224
Email
kristi.parker@rice.edu
First Name & Middle Initial & Last Name or Official Title & Degree
E-Lim L Wu, B.S.
Phone
713-348-8126
Email
lydia.wu@rice.edu
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Christopher P Fagundes, Ph.D.
Organizational Affiliation
William Marsh Rice University
Official's Role
Principal Investigator
Facility Information:
Facility Name
Rice University Bioscience Research Collaborative
City
Houston
State/Province
Texas
ZIP/Postal Code
77030
Country
United States
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Kristi Parker, M.Ed.
Phone
713-348-8224
Email
kristi.parker@rice.edu
First Name & Middle Initial & Last Name & Degree
E-Lim L Wu, B.S.
Phone
713-348-8126
Email
lydia.wu@rice.edu

12. IPD Sharing Statement

Plan to Share IPD
No
Citations:
PubMed Identifier
27464741
Citation
Karmonik C, Brandt A, Anderson J, Brooks F, Lytle J, Silverman E, Frazier JT. Music Listening modulates Functional Connectivity and Information Flow in the Human Brain. Brain Connect. 2016 Oct;6(8):632-641. doi: 10.1089/brain.2016.0428. Epub 2016 Jul 27.
Results Reference
background
PubMed Identifier
28471728
Citation
Yue Q, Martin RC, Fischer-Baum S, Ramos-Nunez AI, Ye F, Deem MW. Brain Modularity Mediates the Relation between Task Complexity and Performance. J Cogn Neurosci. 2017 Sep;29(9):1532-1546. doi: 10.1162/jocn_a_01142. Epub 2017 May 4.
Results Reference
background
PubMed Identifier
23957903
Citation
Jaremka LM, Andridge RR, Fagundes CP, Alfano CM, Povoski SP, Lipari AM, Agnese DM, Arnold MW, Farrar WB, Yee LD, Carson WE 3rd, Bekaii-Saab T, Martin EW Jr, Schmidt CR, Kiecolt-Glaser JK. Pain, depression, and fatigue: loneliness as a longitudinal risk factor. Health Psychol. 2014 Sep;33(9):948-57. doi: 10.1037/a0034012. Epub 2013 Aug 19.
Results Reference
background
PubMed Identifier
22973254
Citation
Brandt A, Gebrian M, Slevc LR. Music and early language acquisition. Front Psychol. 2012 Sep 11;3:327. doi: 10.3389/fpsyg.2012.00327. eCollection 2012.
Results Reference
background
PubMed Identifier
19734788
Citation
Parbery-Clark A, Skoe E, Lam C, Kraus N. Musician enhancement for speech-in-noise. Ear Hear. 2009 Dec;30(6):653-61. doi: 10.1097/AUD.0b013e3181b412e9.
Results Reference
background
PubMed Identifier
25186739
Citation
Kraus N, Slater J, Thompson EC, Hornickel J, Strait DL, Nicol T, White-Schwoch T. Music enrichment programs improve the neural encoding of speech in at-risk children. J Neurosci. 2014 Sep 3;34(36):11913-8. doi: 10.1523/JNEUROSCI.1881-14.2014.
Results Reference
background
PubMed Identifier
17488207
Citation
Bengtsson SL, Csikszentmihalyi M, Ullen F. Cortical regions involved in the generation of musical structures during improvisation in pianists. J Cogn Neurosci. 2007 May;19(5):830-42. doi: 10.1162/jocn.2007.19.5.830.
Results Reference
background
PubMed Identifier
18301756
Citation
Limb CJ, Braun AR. Neural substrates of spontaneous musical performance: an FMRI study of jazz improvisation. PLoS One. 2008 Feb 27;3(2):e1679. doi: 10.1371/journal.pone.0001679.
Results Reference
background
PubMed Identifier
19391971
Citation
He J, Sun J, Deem MW. Spontaneous emergence of modularity in a model of evolving individuals and in real networks. Phys Rev E Stat Nonlin Soft Matter Phys. 2009 Mar;79(3 Pt 1):031907. doi: 10.1103/PhysRevE.79.031907. Epub 2009 Mar 17.
Results Reference
background
PubMed Identifier
25679649
Citation
Park JM, Niestemski LR, Deem MW. Quasispecies theory for evolution of modularity. Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Jan;91(1):012714. doi: 10.1103/PhysRevE.91.012714. Epub 2015 Jan 28.
Results Reference
background
PubMed Identifier
11154772
Citation
Holmen K, Ericsson K, Winblad B. Social and emotional loneliness among non-demented and demented elderly people. Arch Gerontol Geriatr. 2000 Dec;31(3):177-192. doi: 10.1016/s0167-4943(00)00070-4.
Results Reference
background
PubMed Identifier
23530191
Citation
Steptoe A, Shankar A, Demakakos P, Wardle J. Social isolation, loneliness, and all-cause mortality in older men and women. Proc Natl Acad Sci U S A. 2013 Apr 9;110(15):5797-801. doi: 10.1073/pnas.1219686110. Epub 2013 Mar 25.
Results Reference
background
PubMed Identifier
20019311
Citation
Stuckey HL, Nobel J. The connection between art, healing, and public health: a review of current literature. Am J Public Health. 2010 Feb;100(2):254-63. doi: 10.2105/AJPH.2008.156497. Epub 2009 Dec 17.
Results Reference
background
PubMed Identifier
23273678
Citation
Jaremka LM, Fagundes CP, Glaser R, Bennett JM, Malarkey WB, Kiecolt-Glaser JK. Loneliness predicts pain, depression, and fatigue: understanding the role of immune dysregulation. Psychoneuroendocrinology. 2013 Aug;38(8):1310-7. doi: 10.1016/j.psyneuen.2012.11.016. Epub 2012 Dec 27.
Results Reference
background
PubMed Identifier
25619207
Citation
Chen M, Deem MW. Development of modularity in the neural activity of children's brains. Phys Biol. 2015 Jan 26;12(1):016009. doi: 10.1088/1478-3975/12/1/016009.
Results Reference
background
PubMed Identifier
21752636
Citation
Fagundes CP, Lindgren ME, Shapiro CL, Kiecolt-Glaser JK. Child maltreatment and breast cancer survivors: social support makes a difference for quality of life, fatigue and cancer stress. Eur J Cancer. 2012 Mar;48(5):728-36. doi: 10.1016/j.ejca.2011.06.022.
Results Reference
background
PubMed Identifier
18287122
Citation
Sarkamo T, Tervaniemi M, Laitinen S, Forsblom A, Soinila S, Mikkonen M, Autti T, Silvennoinen HM, Erkkila J, Laine M, Peretz I, Hietanen M. Music listening enhances cognitive recovery and mood after middle cerebral artery stroke. Brain. 2008 Mar;131(Pt 3):866-76. doi: 10.1093/brain/awn013.
Results Reference
background
PubMed Identifier
25815256
Citation
Raglio A, Attardo L, Gontero G, Rollino S, Groppo E, Granieri E. Effects of music and music therapy on mood in neurological patients. World J Psychiatry. 2015 Mar 22;5(1):68-78. doi: 10.5498/wjp.v5.i1.68.
Results Reference
background
PubMed Identifier
28883789
Citation
Ramos-Nunez AI, Fischer-Baum S, Martin RC, Yue Q, Ye F, Deem MW. Static and Dynamic Measures of Human Brain Connectivity Predict Complementary Aspects of Human Cognitive Performance. Front Hum Neurosci. 2017 Aug 24;11:420. doi: 10.3389/fnhum.2017.00420. eCollection 2017. Erratum In: Front Hum Neurosci. 2018 Sep 07;12:345.
Results Reference
background
PubMed Identifier
16723398
Citation
Newman ME. Modularity and community structure in networks. Proc Natl Acad Sci U S A. 2006 Jun 6;103(23):8577-82. doi: 10.1073/pnas.0601602103. Epub 2006 May 24.
Results Reference
background
PubMed Identifier
21139128
Citation
Galland L. Diet and inflammation. Nutr Clin Pract. 2010 Dec;25(6):634-40. doi: 10.1177/0884533610385703.
Results Reference
background
PubMed Identifier
15723404
Citation
Breuer FA, Blaimer M, Heidemann RM, Mueller MF, Griswold MA, Jakob PM. Controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA) for multi-slice imaging. Magn Reson Med. 2005 Mar;53(3):684-91. doi: 10.1002/mrm.20401.
Results Reference
background
PubMed Identifier
17916330
Citation
Knutson B, Bhanji JP, Cooney RE, Atlas LY, Gotlib IH. Neural responses to monetary incentives in major depression. Biol Psychiatry. 2008 Apr 1;63(7):686-92. doi: 10.1016/j.biopsych.2007.07.023. Epub 2007 Oct 4.
Results Reference
background
PubMed Identifier
10875899
Citation
Knutson B, Westdorp A, Kaiser E, Hommer D. FMRI visualization of brain activity during a monetary incentive delay task. Neuroimage. 2000 Jul;12(1):20-7. doi: 10.1006/nimg.2000.0593.
Results Reference
background
PubMed Identifier
1202204
Citation
Folstein MF, Folstein SE, McHugh PR. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975 Nov;12(3):189-98. doi: 10.1016/0022-3956(75)90026-6. No abstract available.
Results Reference
background
PubMed Identifier
8321595
Citation
Eysenck HJ, Furnham A. Personality and the Barron-Welsh Art Scale. Percept Mot Skills. 1993 Jun;76(3 Pt 1):837-8. doi: 10.2466/pms.1993.76.3.837.
Results Reference
background
PubMed Identifier
8346335
Citation
Baum A, Cohen L, Hall M. Control and intrusive memories as possible determinants of chronic stress. Psychosom Med. 1993 May-Jun;55(3):274-86. doi: 10.1097/00006842-199305000-00005.
Results Reference
background
PubMed Identifier
13285986
Citation
BARRON F. The disposition toward originality. J Abnorm Psychol. 1955 Nov;51(3):478-85. doi: 10.1037/h0048073. No abstract available.
Results Reference
background
PubMed Identifier
19672310
Citation
Treadway MT, Buckholtz JW, Schwartzman AN, Lambert WE, Zald DH. Worth the 'EEfRT'? The effort expenditure for rewards task as an objective measure of motivation and anhedonia. PLoS One. 2009 Aug 12;4(8):e6598. doi: 10.1371/journal.pone.0006598.
Results Reference
background
PubMed Identifier
8576833
Citation
Russell DW. UCLA Loneliness Scale (Version 3): reliability, validity, and factor structure. J Pers Assess. 1996 Feb;66(1):20-40. doi: 10.1207/s15327752jpa6601_2.
Results Reference
background
PubMed Identifier
3358145
Citation
Seeman TE, Berkman LF. Structural characteristics of social networks and their relationship with social support in the elderly: who provides support. Soc Sci Med. 1988;26(7):737-49. doi: 10.1016/0277-9536(88)90065-2.
Results Reference
background
PubMed Identifier
21928908
Citation
Van Orden KA, Cukrowicz KC, Witte TK, Joiner TE. Thwarted belongingness and perceived burdensomeness: construct validity and psychometric properties of the Interpersonal Needs Questionnaire. Psychol Assess. 2012 Mar;24(1):197-215. doi: 10.1037/a0025358. Epub 2011 Sep 19.
Results Reference
background
PubMed Identifier
11821460
Citation
Ingram SS, Seo PH, Martell RE, Clipp EC, Doyle ME, Montana GS, Cohen HJ. Comprehensive assessment of the elderly cancer patient: the feasibility of self-report methodology. J Clin Oncol. 2002 Feb 1;20(3):770-5. doi: 10.1200/JCO.2002.20.3.770.
Results Reference
background
PubMed Identifier
22294820
Citation
Carney CE, Buysse DJ, Ancoli-Israel S, Edinger JD, Krystal AD, Lichstein KL, Morin CM. The consensus sleep diary: standardizing prospective sleep self-monitoring. Sleep. 2012 Feb 1;35(2):287-302. doi: 10.5665/sleep.1642.
Results Reference
background
PubMed Identifier
2748771
Citation
Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989 May;28(2):193-213. doi: 10.1016/0165-1781(89)90047-4.
Results Reference
background
PubMed Identifier
7722560
Citation
Charlson M, Szatrowski TP, Peterson J, Gold J. Validation of a combined comorbidity index. J Clin Epidemiol. 1994 Nov;47(11):1245-51. doi: 10.1016/0895-4356(94)90129-5.
Results Reference
background
PubMed Identifier
12618570
Citation
Demark-Wahnefried W, Clipp EC, McBride C, Lobach DF, Lipkus I, Peterson B, Clutter Snyder D, Sloane R, Arbanas J, Kraus WE. Design of FRESH START: a randomized trial of exercise and diet among cancer survivors. Med Sci Sports Exerc. 2003 Mar;35(3):415-24. doi: 10.1249/01.MSS.0000053704.28156.0F.
Results Reference
background
PubMed Identifier
3876763
Citation
Blair SN, Haskell WL, Ho P, Paffenbarger RS Jr, Vranizan KM, Farquhar JW, Wood PD. Assessment of habitual physical activity by a seven-day recall in a community survey and controlled experiments. Am J Epidemiol. 1985 Nov;122(5):794-804. doi: 10.1093/oxfordjournals.aje.a114163.
Results Reference
background
PubMed Identifier
6507425
Citation
Taylor CB, Coffey T, Berra K, Iaffaldano R, Casey K, Haskell WL. Seven-day activity and self-report compared to a direct measure of physical activity. Am J Epidemiol. 1984 Dec;120(6):818-24. doi: 10.1093/oxfordjournals.aje.a113954.
Results Reference
background
PubMed Identifier
1593914
Citation
Ware JE Jr, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992 Jun;30(6):473-83.
Results Reference
background
PubMed Identifier
16400678
Citation
Bower JE, Ganz PA, Desmond KA, Bernaards C, Rowland JH, Meyerowitz BE, Belin TR. Fatigue in long-term breast carcinoma survivors: a longitudinal investigation. Cancer. 2006 Feb 15;106(4):751-8. doi: 10.1002/cncr.21671.
Results Reference
background
PubMed Identifier
16675568
Citation
Collado-Hidalgo A, Bower JE, Ganz PA, Cole SW, Irwin MR. Inflammatory biomarkers for persistent fatigue in breast cancer survivors. Clin Cancer Res. 2006 May 1;12(9):2759-66. doi: 10.1158/1078-0432.CCR-05-2398.
Results Reference
background
PubMed Identifier
16925881
Citation
Hagstromer M, Oja P, Sjostrom M. The International Physical Activity Questionnaire (IPAQ): a study of concurrent and construct validity. Public Health Nutr. 2006 Sep;9(6):755-62. doi: 10.1079/phn2005898.
Results Reference
background
PubMed Identifier
12670856
Citation
Bijur PE, Latimer CT, Gallagher EJ. Validation of a verbally administered numerical rating scale of acute pain for use in the emergency department. Acad Emerg Med. 2003 Apr;10(4):390-2. doi: 10.1111/j.1553-2712.2003.tb01355.x.
Results Reference
background
PubMed Identifier
17166126
Citation
Hartrick CT, Kovan JP, Shapiro S. The numeric rating scale for clinical pain measurement: a ratio measure? Pain Pract. 2003 Dec;3(4):310-6. doi: 10.1111/j.1530-7085.2003.03034.x.
Results Reference
background
PubMed Identifier
19726211
Citation
Miro J, Castarlenas E, Huguet A. Evidence for the use of a numerical rating scale to assess the intensity of pediatric pain. Eur J Pain. 2009 Nov;13(10):1089-95. doi: 10.1016/j.ejpain.2009.07.002. Epub 2009 Sep 1.
Results Reference
background
PubMed Identifier
14399272
Citation
HAMILTON M. A rating scale for depression. J Neurol Neurosurg Psychiatry. 1960 Feb;23(1):56-62. doi: 10.1136/jnnp.23.1.56. No abstract available.
Results Reference
background
PubMed Identifier
2090831
Citation
Potts MK, Daniels M, Burnam MA, Wells KB. A structured interview version of the Hamilton Depression Rating Scale: evidence of reliability and versatility of administration. J Psychiatr Res. 1990;24(4):335-50. doi: 10.1016/0022-3956(90)90005-b.
Results Reference
background
PubMed Identifier
7183759
Citation
Yesavage JA, Brink TL, Rose TL, Lum O, Huang V, Adey M, Leirer VO. Development and validation of a geriatric depression screening scale: a preliminary report. J Psychiatr Res. 1982-1983;17(1):37-49. doi: 10.1016/0022-3956(82)90033-4.
Results Reference
background
PubMed Identifier
3397865
Citation
Watson D, Clark LA, Tellegen A. Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol. 1988 Jun;54(6):1063-70. doi: 10.1037//0022-3514.54.6.1063.
Results Reference
background
PubMed Identifier
6668417
Citation
Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983 Dec;24(4):385-96. No abstract available.
Results Reference
background
PubMed Identifier
1713648
Citation
Cohen S, Tyrrell DA, Smith AP. Psychological stress and susceptibility to the common cold. N Engl J Med. 1991 Aug 29;325(9):606-12. doi: 10.1056/NEJM199108293250903.
Results Reference
background
PubMed Identifier
11129362
Citation
Adler NE, Epel ES, Castellazzo G, Ickovics JR. Relationship of subjective and objective social status with psychological and physiological functioning: preliminary data in healthy white women. Health Psychol. 2000 Nov;19(6):586-92. doi: 10.1037//0278-6133.19.6.586.
Results Reference
background
PubMed Identifier
9351141
Citation
Berney LR, Blane DB. Collecting retrospective data: accuracy of recall after 50 years judged against historical records. Soc Sci Med. 1997 Nov;45(10):1519-25. doi: 10.1016/s0277-9536(97)00088-9.
Results Reference
background
PubMed Identifier
2068593
Citation
Pugh H, Power C, Goldblatt P, Arber S. Women's lung cancer mortality, socio-economic status and changing smoking patterns. Soc Sci Med. 1991;32(10):1105-10. doi: 10.1016/0277-9536(91)90086-r.
Results Reference
background
PubMed Identifier
18258985
Citation
Bower JE. Behavioral symptoms in patients with breast cancer and survivors. J Clin Oncol. 2008 Feb 10;26(5):768-77. doi: 10.1200/JCO.2007.14.3248.
Results Reference
background
PubMed Identifier
12902446
Citation
Bower JE, Ganz PA, Aziz N, Fahey JL, Cole SW. T-cell homeostasis in breast cancer survivors with persistent fatigue. J Natl Cancer Inst. 2003 Aug 6;95(15):1165-8. doi: 10.1093/jnci/djg0019.
Results Reference
background
PubMed Identifier
15784794
Citation
Bower JE, Ganz PA, Aziz N. Altered cortisol response to psychologic stress in breast cancer survivors with persistent fatigue. Psychosom Med. 2005 Mar-Apr;67(2):277-80. doi: 10.1097/01.psy.0000155666.55034.c6.
Results Reference
background
PubMed Identifier
10673515
Citation
Bower JE, Ganz PA, Desmond KA, Rowland JH, Meyerowitz BE, Belin TR. Fatigue in breast cancer survivors: occurrence, correlates, and impact on quality of life. J Clin Oncol. 2000 Feb;18(4):743-53. doi: 10.1200/JCO.2000.18.4.743.
Results Reference
background
PubMed Identifier
17605566
Citation
Donovan KA, Small BJ, Andrykowski MA, Munster P, Jacobsen PB. Utility of a cognitive-behavioral model to predict fatigue following breast cancer treatment. Health Psychol. 2007 Jul;26(4):464-72. doi: 10.1037/0278-6133.26.4.464.
Results Reference
background
PubMed Identifier
21388744
Citation
Fagundes CP, Murray DM, Hwang BS, Gouin JP, Thayer JF, Sollers JJ 3rd, Shapiro CL, Malarkey WB, Kiecolt-Glaser JK. Sympathetic and parasympathetic activity in cancer-related fatigue: more evidence for a physiological substrate in cancer survivors. Psychoneuroendocrinology. 2011 Sep;36(8):1137-47. doi: 10.1016/j.psyneuen.2011.02.005. Epub 2011 Mar 9.
Results Reference
background
PubMed Identifier
12140350
Citation
Bower JE, Ganz PA, Aziz N, Fahey JL. Fatigue and proinflammatory cytokine activity in breast cancer survivors. Psychosom Med. 2002 Jul-Aug;64(4):604-11. doi: 10.1097/00006842-200207000-00010.
Results Reference
background
PubMed Identifier
12916575
Citation
Gross JJ, John OP. Individual differences in two emotion regulation processes: implications for affect, relationships, and well-being. J Pers Soc Psychol. 2003 Aug;85(2):348-62. doi: 10.1037/0022-3514.85.2.348.
Results Reference
background
PubMed Identifier
9617578
Citation
Maes M, Song C, Lin A, De Jongh R, Van Gastel A, Kenis G, Bosmans E, De Meester I, Benoy I, Neels H, Demedts P, Janca A, Scharpe S, Smith RS. The effects of psychological stress on humans: increased production of pro-inflammatory cytokines and a Th1-like response in stress-induced anxiety. Cytokine. 1998 Apr;10(4):313-8. doi: 10.1006/cyto.1997.0290.
Results Reference
background
PubMed Identifier
10536645
Citation
Lutgendorf SK, Garand L, Buckwalter KC, Reimer TT, Hong SY, Lubaroff DM. Life stress, mood disturbance, and elevated interleukin-6 in healthy older women. J Gerontol A Biol Sci Med Sci. 1999 Sep;54(9):M434-9. doi: 10.1093/gerona/54.9.m434.
Results Reference
background
PubMed Identifier
9215292
Citation
DeRijk R, Michelson D, Karp B, Petrides J, Galliven E, Deuster P, Paciotti G, Gold PW, Sternberg EM. Exercise and circadian rhythm-induced variations in plasma cortisol differentially regulate interleukin-1 beta (IL-1 beta), IL-6, and tumor necrosis factor-alpha (TNF alpha) production in humans: high sensitivity of TNF alpha and resistance of IL-6. J Clin Endocrinol Metab. 1997 Jul;82(7):2182-91. doi: 10.1210/jcem.82.7.4041.
Results Reference
background
PubMed Identifier
8243274
Citation
Zhou D, Kusnecov AW, Shurin MR, DePaoli M, Rabin BS. Exposure to physical and psychological stressors elevates plasma interleukin 6: relationship to the activation of hypothalamic-pituitary-adrenal axis. Endocrinology. 1993 Dec;133(6):2523-30. doi: 10.1210/endo.133.6.8243274.
Results Reference
background
PubMed Identifier
14651947
Citation
Lutgendorf SK, Logan H, Costanzo E, Lubaroff D. Effects of acute stress, relaxation, and a neurogenic inflammatory stimulus on interleukin-6 in humans. Brain Behav Immun. 2004 Jan;18(1):55-64. doi: 10.1016/s0889-1591(03)00090-4.
Results Reference
background
PubMed Identifier
15050655
Citation
Brydon L, Edwards S, Mohamed-Ali V, Steptoe A. Socioeconomic status and stress-induced increases in interleukin-6. Brain Behav Immun. 2004 May;18(3):281-90. doi: 10.1016/j.bbi.2003.09.011.
Results Reference
background
PubMed Identifier
15250815
Citation
Segerstrom SC, Miller GE. Psychological stress and the human immune system: a meta-analytic study of 30 years of inquiry. Psychol Bull. 2004 Jul;130(4):601-30. doi: 10.1037/0033-2909.130.4.601.
Results Reference
background
PubMed Identifier
12840146
Citation
Kiecolt-Glaser JK, Preacher KJ, MacCallum RC, Atkinson C, Malarkey WB, Glaser R. Chronic stress and age-related increases in the proinflammatory cytokine IL-6. Proc Natl Acad Sci U S A. 2003 Jul 22;100(15):9090-5. doi: 10.1073/pnas.1531903100. Epub 2003 Jul 2.
Results Reference
background
PubMed Identifier
9920223
Citation
Dentino AN, Pieper CF, Rao MK, Currie MS, Harris T, Blazer DG, Cohen HJ. Association of interleukin-6 and other biologic variables with depression in older people living in the community. J Am Geriatr Soc. 1999 Jan;47(1):6-11. doi: 10.1111/j.1532-5415.1999.tb01894.x.
Results Reference
background
PubMed Identifier
10202570
Citation
Maes M, Lin AH, Delmeire L, Van Gastel A, Kenis G, De Jongh R, Bosmans E. Elevated serum interleukin-6 (IL-6) and IL-6 receptor concentrations in posttraumatic stress disorder following accidental man-made traumatic events. Biol Psychiatry. 1999 Apr 1;45(7):833-9. doi: 10.1016/s0006-3223(98)00131-0.
Results Reference
background
PubMed Identifier
14557146
Citation
Glaser R, Robles TF, Sheridan J, Malarkey WB, Kiecolt-Glaser JK. Mild depressive symptoms are associated with amplified and prolonged inflammatory responses after influenza virus vaccination in older adults. Arch Gen Psychiatry. 2003 Oct;60(10):1009-14. doi: 10.1001/archpsyc.60.10.1009.
Results Reference
background
PubMed Identifier
15219635
Citation
Suarez EC, Lewis JG, Krishnan RR, Young KH. Enhanced expression of cytokines and chemokines by blood monocytes to in vitro lipopolysaccharide stimulation are associated with hostility and severity of depressive symptoms in healthy women. Psychoneuroendocrinology. 2004 Oct;29(9):1119-28. doi: 10.1016/j.psyneuen.2004.01.002.
Results Reference
background
PubMed Identifier
16005881
Citation
Pitsavos C, Panagiotakos DB, Papageorgiou C, Tsetsekou E, Soldatos C, Stefanadis C. Anxiety in relation to inflammation and coagulation markers, among healthy adults: the ATTICA study. Atherosclerosis. 2006 Apr;185(2):320-6. doi: 10.1016/j.atherosclerosis.2005.06.001. Epub 2005 Jul 11.
Results Reference
background
PubMed Identifier
15528423
Citation
Marx J. Cancer research. Inflammation and cancer: the link grows stronger. Science. 2004 Nov 5;306(5698):966-8. doi: 10.1126/science.306.5698.966. No abstract available.
Results Reference
background
PubMed Identifier
10774463
Citation
Ershler WB, Keller ET. Age-associated increased interleukin-6 gene expression, late-life diseases, and frailty. Annu Rev Med. 2000;51:245-70. doi: 10.1146/annurev.med.51.1.245.
Results Reference
background
PubMed Identifier
11466099
Citation
Pradhan AD, Manson JE, Rifai N, Buring JE, Ridker PM. C-reactive protein, interleukin 6, and risk of developing type 2 diabetes mellitus. JAMA. 2001 Jul 18;286(3):327-34. doi: 10.1001/jama.286.3.327.
Results Reference
background
PubMed Identifier
11481159
Citation
Musselman DL, Miller AH, Porter MR, Manatunga A, Gao F, Penna S, Pearce BD, Landry J, Glover S, McDaniel JS, Nemeroff CB. Higher than normal plasma interleukin-6 concentrations in cancer patients with depression: preliminary findings. Am J Psychiatry. 2001 Aug;158(8):1252-7. doi: 10.1176/appi.ajp.158.8.1252.
Results Reference
background
PubMed Identifier
9670236
Citation
Miller AH. Neuroendocrine and immune system interactions in stress and depression. Psychiatr Clin North Am. 1998 Jun;21(2):443-63. doi: 10.1016/s0193-953x(05)70015-0.
Results Reference
background
PubMed Identifier
9367546
Citation
Maes M, Bosmans E, De Jongh R, Kenis G, Vandoolaeghe E, Neels H. Increased serum IL-6 and IL-1 receptor antagonist concentrations in major depression and treatment resistant depression. Cytokine. 1997 Nov;9(11):853-8. doi: 10.1006/cyto.1997.0238.
Results Reference
background
PubMed Identifier
11846437
Citation
Irwin M. Psychoneuroimmunology of depression: clinical implications. Brain Behav Immun. 2002 Feb;16(1):1-16. doi: 10.1006/brbi.2001.0654.
Results Reference
background
PubMed Identifier
11566046
Citation
Zorrilla EP, Luborsky L, McKay JR, Rosenthal R, Houldin A, Tax A, McCorkle R, Seligman DA, Schmidt K. The relationship of depression and stressors to immunological assays: a meta-analytic review. Brain Behav Immun. 2001 Sep;15(3):199-226. doi: 10.1006/brbi.2000.0597.
Results Reference
background
PubMed Identifier
16983055
Citation
Irwin MR, Wang M, Campomayor CO, Collado-Hidalgo A, Cole S. Sleep deprivation and activation of morning levels of cellular and genomic markers of inflammation. Arch Intern Med. 2006 Sep 18;166(16):1756-62. doi: 10.1001/archinte.166.16.1756.
Results Reference
background
PubMed Identifier
21693184
Citation
Korenromp IH, Grutters JC, van den Bosch JM, Zanen P, Kavelaars A, Heijnen CJ. Reduced Th2 cytokine production by sarcoidosis patients in clinical remission with chronic fatigue. Brain Behav Immun. 2011 Oct;25(7):1498-502. doi: 10.1016/j.bbi.2011.06.004. Epub 2011 Jun 13.
Results Reference
background
PubMed Identifier
21988771
Citation
Fagundes CP, Glaser R, Alfano CM, Bennett JM, Povoski SP, Lipari AM, Agnese DM, Yee LD, Carson WE 3rd, Farrar WB, Malarkey WB, Kiecolt-Glaser JK. Fatigue and herpesvirus latency in women newly diagnosed with breast cancer. Brain Behav Immun. 2012 Mar;26(3):394-400. doi: 10.1016/j.bbi.2011.09.014. Epub 2011 Oct 2.
Results Reference
background
PubMed Identifier
22735772
Citation
Schultze-Florey CR, Martinez-Maza O, Magpantay L, Breen EC, Irwin MR, Gundel H, O'Connor MF. When grief makes you sick: bereavement induced systemic inflammation is a question of genotype. Brain Behav Immun. 2012 Oct;26(7):1066-71. doi: 10.1016/j.bbi.2012.06.009. Epub 2012 Jun 23.
Results Reference
background
PubMed Identifier
22195009
Citation
van Zuiden M, Heijnen CJ, van de Schoot R, Amarouchi K, Maas M, Vermetten E, Geuze E, Kavelaars A. Cytokine production by leukocytes of military personnel with depressive symptoms after deployment to a combat-zone: a prospective, longitudinal study. PLoS One. 2011;6(12):e29142. doi: 10.1371/journal.pone.0029142. Epub 2011 Dec 14.
Results Reference
background
PubMed Identifier
18479871
Citation
Schwarz AJ, Gozzi A, Bifone A. Community structure and modularity in networks of correlated brain activity. Magn Reson Imaging. 2008 Sep;26(7):914-20. doi: 10.1016/j.mri.2008.01.048. Epub 2008 May 13.
Results Reference
background
PubMed Identifier
21518170
Citation
Hattori H, Hattori C, Hokao C, Mizushima K, Mase T. Controlled study on the cognitive and psychological effect of coloring and drawing in mild Alzheimer's disease patients. Geriatr Gerontol Int. 2011 Oct;11(4):431-7. doi: 10.1111/j.1447-0594.2011.00698.x. Epub 2011 Apr 26.
Results Reference
background
PubMed Identifier
12090408
Citation
Schafer JL, Graham JW. Missing data: our view of the state of the art. Psychol Methods. 2002 Jun;7(2):147-77.
Results Reference
background
Citation
Bonomo ME, Karmonik C, Brandt AK, Frazier JT. Correlations between whole-brain modularity and flexibility distinguish music and speech perception. (submitted).
Results Reference
background
Citation
Kachanathu SJ, Bhatia P, Nuhmani S, Vennu V. Efficacy of music listening with conventional physiotherapy management on sub-acute stroke patients. 2013;7.
Results Reference
background
Citation
Deem MW. Statistical Mechanics of Modularity and Horizontal Gene Transfer. Annu Rev Condens Matter Phys. 2013;4(1):287-311.
Results Reference
background
Citation
The Arts and Aging: Building the Science. National Endowment for the Arts Office of Research and Analysis; 2013.
Results Reference
background
Citation
Hickey M. Music Outside the Lines: Ideas for Composing K-12 Music Classrooms. Oxford: Oxford University Press; 2012. 192 p.
Results Reference
background
Citation
Wechsler D. WAIS-IV. In: Wechsler Adult Intelligence. San Antonio, Texas: NCS Pearson; 2008. p. 1-3.
Results Reference
background
Citation
Delis DC, Kaplan E, Kramer J. Delis-Kaplan Executive Function System. Psychological Corporation; 2001.
Results Reference
background
Citation
Heaton RK, Chelune GJ, Talley J.L. Wisconsin Card Sorting Test manual. Odessa, Florida: Psychological ASsessment Resources, Inc; 1993.
Results Reference
background
Citation
Guilford JP. The nature of human intelligence. New York: McGraw-Hill; 1967.
Results Reference
background
Citation
Rosen JC. The Barron-Welsh Art Scale as a predictor of originality and level of ability among artists. J Appl Psychol. 1956;39(5):366.
Results Reference
background
Citation
Welsh GS, Gough HB, Hall WB, Bradley P. Barron Welsh Art Scale. Mind Garden; 1987. 84 p.
Results Reference
background
Citation
Rammstedt B, John OP. Measuring personality in one minute or less: A 10-item short version of the Big Five Inventory in English and German. J Res Personal. 2007 Feb 1;41(1):203-12.
Results Reference
background
Citation
Berkman LF, Kawachi I. Social Epidemiology. Oxford University Press; 2000. 414 p.
Results Reference
background
Citation
Deci EL, Ryan RM. The "What" and "Why" of Goal Pursuits: Human Needs and the Self-Determination of Behavior. Psychol Inq. 2000 Oct;11(4):227-68.
Results Reference
background
Citation
Jacobsen P, Donovan K. Cancer and fatigue: Insights from studies of women treated for breast cancer. In: Fatigue as a window to the brain. Cambridge, Massachusetts: MIT Press; 2005. p. 265-80.
Results Reference
background
Citation
McCaffery M, Beebe A. Pain: Clinical manual for nursing practice. St. Louis, MO: Mosby; 1989.
Results Reference
background
Citation
Radloff LS. The CES-D Scale: A self-report depression scale for research in the general population. Appl Psychol Meas. 1977 Jun 1;1(3):385-401.
Results Reference
background
Citation
Basco MR, Krebaum SR, Rush AJ. Outcome measures of depression. In: Strupp HH, Horowitz LM, Lambert MJ, editors. Measuring Patient Changes in Mood, Anxiety, and Personality disorders. Washington D. C.: American Psychological Association; 1997. p. 207-45.
Results Reference
background
Citation
Shahid A, Wilkinson K, Marcu S, Shapiro CM, editors. Hamilton Rating Scale for Depression. In: STOP, THAT and One Hundred Other Sleep Scales [Internet]. New York: Springer-Verlag; 2012 [cited 2019 May 14]. p. 187-90. Available from: https://www.springer.com/us/book/9781441998927
Results Reference
background
Citation
Henderson AG, Byrne DG, Duncan-Jones P. Neurosis and the social environment. New York: Academic Press; 1981.
Results Reference
background
Citation
Bernstein DP, Fink L. Childhood Trauma Questionnaire: A retrospective self-report manual. San Antonio, Texas: The Psychological Corporation; 1998.
Results Reference
background
Citation
Kaufman EA, Xia M, Fosco G, Yaptangco M, Skidmore CR, Crowell SE. The Difficulties in Emotion Regulation Scale Short Form (DERS-SF): Validation and Replication in Adolescent and Adult Samples. J Psychopathol Behav Assess. 2016 Sep;38(3):443-55.
Results Reference
background
Citation
Gratz KL, Roemer L. Multidimensional Assessment of Emotion Regulation and Dysregulation: Development, Factor Structure, and Initial Validation of the Difficulties in Emotion Regulation Scale. J Psychopathol Behav Assess. 2003;15.
Results Reference
background
Citation
Gross JJ. The emerging field of emotion regulation: An integrative review. Rev Gen Psychol. 1998;2(3):271-99.
Results Reference
background
PubMed Identifier
24054542
Citation
Tarvainen MP, Niskanen JP, Lipponen JA, Ranta-Aho PO, Karjalainen PA. Kubios HRV--heart rate variability analysis software. Comput Methods Programs Biomed. 2014;113(1):210-20. doi: 10.1016/j.cmpb.2013.07.024. Epub 2013 Aug 6.
Results Reference
background
PubMed Identifier
19949480
Citation
Meunier D, Lambiotte R, Fornito A, Ersche KD, Bullmore ET. Hierarchical modularity in human brain functional networks. Front Neuroinform. 2009 Oct 30;3:37. doi: 10.3389/neuro.11.037.2009. eCollection 2009.
Results Reference
background
Citation
Nolte J. The human brain: an introduction to its functional anatomy. 4th ed. St. Louis, MO: Mosby; 2008.
Results Reference
background
Citation
Rusted J, Sheppard L, Waller D. A Multi-centre Randomized Control Group Trial on the Use of Art Therapy for Older People with Dementia. Group Anal. 2006 Dec 1;39(4):517-36.
Results Reference
background
Links:
URL
http://arches.rice.edu/
Description
The Rice Arts, Cognition, and Health Science Initiative website.

Learn more about this trial

Cognitive Health Research on Musical Arts

We'll reach out to this number within 24 hrs