How art changes your brain: differential effects of visual art production and cognitive art evaluation on functional brain connectivity

Anne Bolwerk, Jessica Mack-Andrick, Frieder R Lang, Arnd Dörfler, Christian Maihöfner, Anne Bolwerk, Jessica Mack-Andrick, Frieder R Lang, Arnd Dörfler, Christian Maihöfner

Abstract

Visual art represents a powerful resource for mental and physical well-being. However, little is known about the underlying effects at a neural level. A critical question is whether visual art production and cognitive art evaluation may have different effects on the functional interplay of the brain's default mode network (DMN). We used fMRI to investigate the DMN of a non-clinical sample of 28 post-retirement adults (63.71 years ±3.52 SD) before (T0) and after (T1) weekly participation in two different 10-week-long art interventions. Participants were randomly assigned to groups stratified by gender and age. In the visual art production group 14 participants actively produced art in an art class. In the cognitive art evaluation group 14 participants cognitively evaluated artwork at a museum. The DMN of both groups was identified by using a seed voxel correlation analysis (SCA) in the posterior cingulated cortex (PCC/preCUN). An analysis of covariance (ANCOVA) was employed to relate fMRI data to psychological resilience which was measured with the brief German counterpart of the Resilience Scale (RS-11). We observed that the visual art production group showed greater spatial improvement in functional connectivity of PCC/preCUN to the frontal and parietal cortices from T0 to T1 than the cognitive art evaluation group. Moreover, the functional connectivity in the visual art production group was related to psychological resilience (i.e., stress resistance) at T1. Our findings are the first to demonstrate the neural effects of visual art production on psychological resilience in adulthood.

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1. The default mode network (DMN).
Figure 1. The default mode network (DMN).
Brain regions that show significant functional connectivity of the PCC/preCUN in: (A) visual art production group (B) cognitive art evaluation group at pre-intervention (T0), post-intervention at 10 weeks (T1), and contrast T1 (red) >T0 (blue). PCC/preCUN used in each group is shown on the left and right sides.
Figure 2. The visual cortex (VisCx).
Figure 2. The visual cortex (VisCx).
Brain regions that show significant functional connectivity of VisCx in: (A) visual art production group (B) cognitive art evaluation group. VisCx used in each group is shown on the left and right sides.
Figure 3. The sensorimotor cortex (S1/M1).
Figure 3. The sensorimotor cortex (S1/M1).
Brain regions that show significant functional connectivity of S1/M1 in: (A) visual art production group (B) cognitive art evaluation group at pre-intervention (T0), post-intervention at 10 weeks (T1), and contrast T0 (blue) >T1 (red). S1/M1 used in each group is shown on the left side.
Figure 4. Analysis of covariance (ANCOVA).
Figure 4. Analysis of covariance (ANCOVA).
Covariations between DMN and resilience in the visual art production group at post-intervention (T1). Red – positive correlation; Blue – negative correlation. (A) Covariation between right PCC/preCUN and resilience at T1 (B) Covariation between left PCC/preCUN and resilience at T1.

References

    1. Stuckey HL, Nobel J (2010) The Connection Between Art, Healing, and Public Health: A Review of Current Literature. Am J Public Health 100: 254–263.
    1. Cohen GD, Perlstein S, Chaplin J, Kelly J, Firth KM, et al. (2006) The Impact of Professionally Conducted Cultural Programs on the Physical Health, Mental Health, and Social Functioning of Older Adults. Gerontologist 46: 726–734.
    1. Leckey J (2011) The therapeutic effectiveness of creative activities on mental well-being: a systematic review of the literature. J Psychiatr Ment Health Nurs 18: 501–509.
    1. Geue K, Goetze H, Buttstaedt M, Kleinert E, Richter D, et al. (2010) An overview of art therapy interventions for cancer patients and the results of research. Complement Ther Med 18: 160–170.
    1. Clow A, Fredhoi C (2006) Normalisation of salivary cortisol levels and self-report stress by a brief lunchtime visit to an art gallery by London City workers. J Holist Health 3: 29–32.
    1. Lacey S, Hagtvedt H, Patrick VM, Anderson A, Stilla R, et al. (2011) Art for reward's sake: Visual art recruits the ventral striatum. Neuroimage 55: 420–433.
    1. Buckner RL, Vincent JL (2007) Unrest at rest: Default activity and spontaneous network correlations. Neuroimage 37: 1091–1096.
    1. Gusnard DA, Akbudak E, Shulman GL, Raichle ME (2001) Medial prefrontal cortex and self-referential mental activity: Relation to a default mode of brain function. PNAS 98: 4259–4264.
    1. Raichle ME (2006) The Brain's Dark Energy. Science 314: 1249–1250.
    1. Fox MD, Raichle ME (2007) Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat Rev Neurosci 8: 700–711.
    1. Raichle ME, MacLeod AM, Snyder AZ, Powers WJ, Gusnard DA, et al. (2001) A default mode of brain function. PNAS 98: 676–682.
    1. Damoiseaux JS, Rombouts SARB, Barkhof F, Scheltens P, Stam CJ, et al. (2006) Consistent resting-state networks across healthy subjects. PNAS 103: 13848–13853.
    1. Fehr R (2012) Is retirement always stressful? The potential impact of creativity. Am Psychol 67: 76–77.
    1. Herzog RA, House JS, Morgan JN (1991) Relation of work and retirement to health and well-being in older age. Psychol Aging 6: 202–211.
    1. Marshall VW, Clarke PJ, Ballantyne PJ (2001) Instability in the Retirement Transition: Effects on Health and Well-Being in a Canadian Study. Res Aging 23: 379–409.
    1. Goh JO, Park DC (2009) Neuroplasticity and cognitive aging: The scaffolding theory of aging and cognition. Restor Neurol Neurosci 27: 391–403.
    1. Windle G (2010) The Resilience Network. What is resilience? A systematic review and concept analysis. Rev Clin Geronto 21: 1–18.
    1. Wagnild GM, Young HM (1993) Development and psychometric evaluation of the Resilience Scale. J Nurs Meas 1: 165–178.
    1. Maier SF, Watkins LR (2010) Role of the medial prefrontal cortex in coping and resilience. Brain Res 1355: 52–60.
    1. Schumacher J, Leppert K, Gunzelmann T, Strauβ B, Brähler E (2005) The Resilience Scale - A questionnaire to assess resilience as a personality characteristic. Die Resilienzskala - Ein Fragebogen zur Erfassung der psychischen Widerstandsfähigkeit als Personmerkmal. Z Klin Psychol Psychiatr Psychother 53: 16–39.
    1. Leppert K, Gunzelmann T, Schuhmacher J, Strauss B, Brähler E (2005) Resilience as a protective personality characteristic in the elderly. Psychother Psychosom Med Psychol 55: 365–9.
    1. Packer J (2008) Beyond Learning: Exploring Visitors' Perception of the Value and Benefits of Museum Experience. Curator 51: 33–54.
    1. Silverman LH (2010) The Social Work of Museums, London and New York: Routledge.
    1. Peez G (2002) Qualitative empirische Forschung in der Kunstpädagogik. Methodologische Analysen und praxisbezogene Konzepte zu Fallstudien über ästhetische Prozesse, biografische Aspekte und soziale Interaktion in unterschiedlichen Bereichen der Kunstpädagogik.Norderstedt: Books on Demand.
    1. Talairach J, Tournoux P (1988) Co-Planar Stereotaxic Atlas of the Human Brain. New York: Thieme Medical Publishers.
    1. Murphy K, Birn RM, Handwerker DA, Jones TB, Bandettini PA (2009) The impact of global signal regression on resting state correlations: are anti-correlated networks introduced? Neuroimage 44: 893–905.
    1. Mihov KM, Denzler M, Förster J (2010) Hemispheric specialization and creative thinking: A meta-analytic review of lateralization of creativity. Brain Cog 72: 442–448.
    1. Pyka M, Burgmer M, Lenzen T, Pioch R, Dannlowski U, et al. (2011) Brain correlates of hypnotic paralysis - a resting-state fMRI study. Neuroimage 56: 2173–2182.
    1. Andrews-Hanna JR, Snyder AZ, Vincent JL, Lustig C, Head D, et al. (2007) Disruption of Large-Scale Brain Systems in Advanced Aging. Neuron 56: 924–935.
    1. Grady CL, Protzner AB, Kovacevic N, Strother SC, Afshin-Pour B, et al. (2010) A Multivariate Analysis of Age-Related Differences in Default Mode and Task-Positive Networks across Multiple Cognitive Domains. Cereb Cortex 20: 1432–1447.
    1. Maihöfner C, Baron R, De Col R, Binder A, Birklein F, et al. (2007) The motor system shows adaptive changes in complex regional pain syndrome. Brain 130: 2671–2687.
    1. Malinen S, Vartiainen N, Hlushchuk Y, Koskinen M, Ramkumar P, et al. (2010) Aberrant temporal and spatial brain activity during rest in patients with chronic pain. PNAS 107: 6493–6497.
    1. Maihöfner C, Handwerker HO (2005) Differential coding of hyperalgesia in the human brain: A functional MRI study. Neuroimage 28: 996–1006.
    1. Oldfield RC (1971) The assessment and analysis of handedness: the Edingburg inventory. Neuropsychologia 9: 97–113.
    1. Williamson P (2007) Are Anticorrelated Networks in the Brain Relevant to Schizophrenia? Schizophr Bull 33: 994–1003.
    1. Kennedy DP, Redcay E, Courchesne E (2006) Failing to deactivate: Resting functional abnormalities in autism. PNAS 103: 8275–8280.
    1. Greicius MD, Flores BH, Menon V, Glover GH, Solvason HB, et al. (2007) Resting-State Functional Connectivity in Major Depression: Abnormally Increased Contributions from Subgenual Cingulate Cortex and Thalamus. Biol Psychiatry 62: 429–437.
    1. Baliki MN, Geha PY, Apkarian AV, Chialvo DR (2008) Beyond Feeling: Chronic Pain Hurts the Brain, Disrupting the Default-Mode Network Dynamics. J, Neurosci 28: 1398–1403.
    1. Cauda F, Sacco K, Duca S, Cocito D, D'Agata F, et al. (2009) Altered Resting State in Diabetic Neuropathic Pain. PLoS ONE 4: e4542.
    1. Sambataro F, Murty VP, Callicott JH, Tan H-Y, Das S, et al. (2010) Age-related alterations in default mode network: Impact on working memory performance. Neurobiol Aging 31: 839–852.
    1. Hampson M, Driesen NR, Skudlarski P, Gore JC, Constable RT (2006) Brain Connectivity Related to Working Memory Performance. J Neurosci 26: 13338–13343.
    1. Voss MW, Prakash RS, Erickson KI, Basak C, Chaddock L, et al. (2010) Plasticity of brain networks in a randomized intervention trial of exercise training in older adults. Front Aging Neurosci 2: 1–7.
    1. Wu J-T, Wu H-Z, Yang C-G, Chen W-X, Zhang H-Y, et al. (2011) Aging-related changes in the default mode network and its anti-correlated networks: A resting-state fMRI study. Neurosci Lett 504: 62–67.
    1. Damoiseaux JS, Beckamnn CF, Arigita EJS, Barkhof F, Scheltens P, et al. (2008) Reduced resting-state brain activity in the “default network” in normal aging. Cereb Cortex 18: 1856–1864.
    1. Corbetta M, Shulman GL (2002) Control of goal-directed and stimulus-driven attention in the brain. Nat Rev Neurosci 3: 201–215.
    1. Jung RE, Segall JM, Jeremy Bockholt H, Flores RA, Smith SM, et al. (2010) Neuroanatomy of creativity. Hum Brain Mapp 31: 398–409.
    1. Voss MW, Erickson KI, Prakash RS, Chaddock L, Malkowski E, et al. (2010) Functional connectivity: A source of variance in the association between cardiorespiratory fitness and cognition? Neuropsychologia 48: 1394–1406.
    1. Csikszentmihalyi M (1996) Creativity, flow and the psychology of discovery and invention. New York: Harper Perennial.
    1. Wager TD, Davidson ML, Hughes BL, Lindquist MA, Ochsner KN (2008) Prefrontal-Subcortical Pathways Mediating Successful Emotion Regulation. Neuron 59: 1037–1050.
    1. Jang JH, Jung WH, Kang D-H, Byun MS, Kwon SJ, et al. (2011) Increased default mode network connectivity associated with meditation. Neurosci Lett 487: 358–362.
    1. Eichenbaum H, Yonelinas AP, Ranganath C (2007) The Medial Temporal Lobe and Recognition Memory. Annu Rev Neurosci 30: 123–152.
    1. Fink A, Benedek M, Grabner RH, Staudt B, Neubauer AC (2007) Creativity meets neuroscience: Experimental tasks for the neuroscientific study of creative thinking. Methods 42: 68–76.
    1. Park DC, Reuter-Lorenz P (2009) The Adaptive Brain: Aging and Neurocognitive Scaffolding. Annu Rev Psychol 60: 173–196.
    1. He W, Sengupta M, Velkoff VA, DeBarros KA (2005) 65+ in the United States: 2005. Current Population Reports. Washington (DC): US Department of Commerce/US Department of Health and Human Services.

Source: PubMed

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