Mental imagery content is associated with disease severity and specific brain functional connectivity changes in patients with Parkinson’s disease

Abraham, A., Duncan, R. P., & Earhart, G. M. (2021). The role of mental imagery in Parkinson’s disease rehabilitation. Brain Sciences, 11(2), 185. https://doi.org/10.3390/brainsci11020185

Article  PubMed  PubMed Central  Google Scholar 

Addis, D. R., Wong, A. T., & Schacter, D. L. (2008). Age-related changes in the episodic simulation of future events. Psychological Science, 19(1), 33–41. https://doi.org/10.1111/j.1467-9280.2008.02043.x

Article  PubMed  Google Scholar 

Andrews-Hanna, J. R., & Grilli, M. D. (2021). Mapping the imaginative mind: charting new paths forward. Current Directions in Psychological Science, 30(1), 82–89. https://doi.org/10.1177/0963721420980753

Article  PubMed  PubMed Central  Google Scholar 

Beck, A. T., Steer, R. A., & Brown, G. K. (1996). Beck depression inventory: second edition manual. The Psychological Corporation.

Blackwell, S. E. (2019). Mental imagery: from basic research to clinical practice. Journal of Psychotherapy Integration, 29(3), 235–247. https://doi.org/10.1037/int0000108

Article  Google Scholar 

Caligiore, D., Mustile, M., Spalletta, G., & Baldassarre, G. (2017). Action observation and motor imagery for rehabilitation in Parkinson’s disease: a systematic review and an integrative hypothesis. Neuroscience and Biobehavioral Reviews, 72, 210–222. https://doi.org/10.1016/j.neubiorev.2016.11.005

Article  PubMed  Google Scholar 

Chai, X. J., Castañón, A. N., Ongür, D., & Whitfield-Gabrieli, S. (2012). Anticorrelations in resting state networks without global signal regression. NeuroImage, 59(2), 1420–1428. https://doi.org/10.1016/j.neuroimage.2011.08.048

Article  PubMed  Google Scholar 

Christoff, K., Irving, Z. C., Fox, K. C., Spreng, R. N., & Andrews-Hanna, J. R. (2016). Mind-wandering as spontaneous thought: a dynamic framework. Nature reviews Neuroscience, 17(11), 718–731. https://doi.org/10.1038/nrn.2016.113

Article  CAS  PubMed  Google Scholar 

Collins, D., & Carson, H. J. (2017). The future for PETTLEP: a modern perspective on an effective and established tool. Current Opinion in Psychology, 16, 12–16. https://doi.org/10.1016/j.copsyc.2017.03.007

Article  PubMed  Google Scholar 

D’Esposito, M., & Postle, B. R. (2015). The cognitive neuroscience of working memory. Annual Review of Psychology, 66, 115–142. https://doi.org/10.1146/annurev-psych-010814-015031

Article  PubMed  Google Scholar 

de Vito, S., Gamboz, N., Brandimonte, M. A., Barone, P., Amboni, M., & Della Sala, S. (2012). Future thinking in Parkinson’s disease: an executive function? Neuropsychologia, 50(7), 1494–1501. https://doi.org/10.1016/j.neuropsychologia.2012.03.001

Article  PubMed  Google Scholar 

Dickstein, R., & Tamir, R. (2010). Motor imagery practice in individuals with Parkinson’s disease. In A. Guillot & C. Collet, The neurophysiological foundations of mental and motor imagery (pp. 1–22). Oxford University Press Scholarship online. https://doi.org/10.1093/acprof:oso/9780199546251.003.0012

Di Rienzo, F., Collet, C., Hoyek, N., & Guillot, A. (2014). Impact of neurologic deficits on motor imagery: a systematic review of clinical evaluations. Neuropsychology Review, 24(2), 116–147. https://doi.org/10.1007/s11065-014-9257-6

Article  PubMed  Google Scholar 

Geffen, T., Thaler, A., Gilam, G., Ben Simon, E., Sarid, N., Gurevich, T., Giladi, N., Shabtai, H., Zitser, J., Schilman, E. A., & Sharon, H. (2017). Reduced mind wandering in patients with Parkinson’s disease. Parkinsonism & Related Disorders, 44, 38–43. https://doi.org/10.1016/j.parkreldis.2017.08.030

Article  Google Scholar 

Genovese, C. R., Lazar, N. A., & Nichols, T. (2002). Thresholding of statistical maps in functional neuroimaging using the false discovery rate. NeuroImage, 15(4), 870–878. https://doi.org/10.1006/nimg.2001.1037

Article  PubMed  Google Scholar 

Gilmore, A. W., Quach, A., Kalinowski, S. E., Gotts, S. J., Schacter, D. L., & Martin, A. (2021). Dynamic content reactivation supports naturalistic autobiographical recall in humans. The Journal of Neuroscience, 41(1), 153–166. https://doi.org/10.1523/JNEUROSCI.1490-20.2020

Article  CAS  PubMed  PubMed Central  Google Scholar 

Goetz, C. G., Tilley, B. C., Shaftman, S. R., Stebbins, G. T., Fahn, S., Martinez-Martin, P., Poewe, W., Sampaio, C., Stern, M. B., Dodel, R., Dubois, B., Holloway, R., Jankovic, J., Kulisevsky, J., Lang, A. E., Lees, A., Leurgans, S., & LeWitt, P. A. (2008). Nyenhuis,. LaPelle, N. Movement disorder society-sponsored revision of the unified Parkinson’s disease rating scale (MDS-UPDRS): Scale presentation and clinimetric testing results. Movement Disorders, 23, 2129–2170. https://doi.org/10.1002/mds.22340

Guillot, A., & Collet, C. (2008). Construction of the motor imagery integrative model in sport: a review and theoretical investigation of motor imagery use. International Review of Sport and Exercise Psychology, 1(1), 31–44. https://doi.org/10.1080/17509840701823139

Article  Google Scholar 

Guillot, A., Collet, C., Nguyen, V. A., Malouin, F., Richards, C., & Doyon, J. (2009). Brain activity during visual versus kinesthetic imagery: an fMRI study. Human Brain Mapping, 30(7), 2157–2172. https://doi.org/10.1002/hbm.20658

Guillot, A., Di Rienzo, F., & Collet, C. (2014). The neurofunctional architecture of motor imagery. Advanced brain neuroimaging topics in health and disease - methods and applications (pp. 433–456). Intech.

Hassabis, D., Kumaran, D., Vann, S. D., & Maguire, E. A. (2007). Patients with hippocampal amnesia cannot imagine new experiences. Proceedings of the National Academy of Sciences of the United States of America, 104(5), 1726–1731. https://doi.org/10.1073/pnas.0610561104

Article  CAS  PubMed  PubMed Central  Google Scholar 

Hoehn, M. M., & Yahr, M. D. (1967). Parkinsonism: Onset, progression and mortality. Neurology, 17(5), 427–442. https://doi.org/10.1212/wnl.17.5.427

Article  CAS  PubMed  Google Scholar 

Hughes, A. J., Daniel, S. E., Kilford, L., & Lees, A. J. (1992). Accuracy of clinical diagnosis of idiopathic Parkinson’s disease: a clinico-pathological study of 100 cases. Journal of Neurology Neurosurgery and Psychiatry, 55(3), 181–184. https://doi.org/10.1136/jnnp.55.3.181

Article  CAS  PubMed  PubMed Central  Google Scholar 

Josefowitz, N. (2017). Incorporating imagery into thought records: increasing engagement in balanced thoughts. Cognitive and Behavioral Practice, 24(1), 90–100. https://doi.org/10.1016/j.cbpra.2016.03.005

Article  Google Scholar 

Kringelbach, M. L. (2005). The human orbitofrontal cortex: linking reward to hedonic experience. Nature Reviews Neuroscience, 6(9), 691–702. https://doi.org/10.1038/nrn1747

Article  CAS  PubMed  Google Scholar 

Lorey, B., Bischoff, M., Pilgramm, S., Stark, R., Munzert, J., & Zentgraf, K. (2009). The embodied nature of motor imagery: the influence of posture and perspective. Experimental Brain Research, 194(2), 233–243. https://doi.org/10.1007/s00221-008-1693-1

Article  PubMed  Google Scholar 

Munroe-Chandler, K. J., & Guerrero, M. D. (2017). Psychological imagery in sport and performance. Oxford Research Encyclopedia of Psychology. https://doi.org/10.1093/acrefore/9780190236557.013.228

Article  Google Scholar 

Nasreddine, Z. S., Phillips, N. A., Bédirian, V., Charbonneau, S., Whitehead, V., Collin, I., Cummings, J. L., & Chertkow, H. (2005). The montreal cognitive assessment, MoCA: a brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society, 53, 695–699. https://doi.org/10.1111/j.1532-5415.2005.53221.x

Article  PubMed  Google Scholar 

Pascual, B., Masdeu, J. C., Hollenbeck, M., Makris, N., Insausti, R., Ding, S. L., & Dickerson, B. C. (2015). Large-scale brain networks of the human left temporal pole: a functional connectivity MRI study. Cerebral Cortex, 25(3), 680–702. https://doi.org/10.1093/cercor/bht260

Article  PubMed  Google Scholar 

Pearson, J. (2019). The human imagination: the cognitive neuroscience of visual mental imagery. Nature Reviews Neuroscience, 20(10), 624–634. https://doi.org/10.1038/s41583-019-0202-9

Article  CAS  PubMed  Google Scholar 

Pearson, D. G., Deeprose, C., Wallace-Hadrill, S. M., Heyes, B., & Holmes, E. A. (2013). Assessing mental imagery in clinical psychology: a review of imagery measures and a guiding framework. Clinical Psychology Review, 33(1), 1–23. https://doi.org/10.1016/j.cpr.2012.09.001

Article  PubMed  PubMed Central  Google Scholar 

Schon, K., Tinaz, S., Somers, D. C., & Stern, C. E. (2008). Delayed match to object or place: an event-related fMRI study of short-term stimulus maintenance and the role of stimulus pre-exposure. NeuroImage, 39(2), 857–872. https://doi.org/10.1016/j.neuroimage.2007.09.023

Article  PubMed  Google Scholar 

Shen, X., Tokoglu, F., Papademetris, X., & Constable, R. T. (2013). Groupwise whole-brain parcellation from resting-state fMRI data for network node identification. NeuroImage, 82, 403–415. https://doi.org/10.1016/j.neuroimage.2013.05.081

Article  CAS  PubMed  Google Scholar 

Simonsmeier, B. A., & Buecker, S. (2017). Interrelations of imagery use, imagery ability, and performance in young athletes. Journal of Applied Sport Psychology, 29(1), 32–43. https://doi.org/10.1080/10413200.2016.1187686

Article  Google Scholar 

Skottnik, L., & Linden, D. (2019). Mental imagery and brain regulation-new links between psychotherapy and neuroscience. Frontiers in Psychiatry, 10, 779. https://doi.org/10.3389/fpsyt.2019.00779

Article  PubMed  PubMed Central  Google Scholar 

Smallwood, J., Turnbull, A., Wang, H. T., Ho, N., Poerio, G. L., Karapanagiotidis, T., Konu, D., Mckeown, B., Zhang, M., Murphy, C., Vatansever, D., Bzdok, D., Konishi, M., Leech, R., Seli, P., Schooler, J. W., Bernhardt, B., Margulies, D. S., & Jefferies, E. (2021). The neural correlates of ongoing conscious thought. iScience, 24(3), 102132. https://doi.org/10.1016/j.isci.2021.102132

Article  PubMed  PubMed Central  Google Scholar 

Spielberger, C. D., Gorssuch, R. L., Lushene, P. R., Vagg, P. R., & Jacobs, G. A. (1983). Manual for the state-trait anxiety inventory. Consulting Psychologists Press.

Google Scholar 

Starkstein, S. E., Mayberg, H. S., Preziosi, T. J., Andrezejewski, P., Leiguarda, R., & Robinson, R. G. (1992). Reliability, validity, and clinical correlates of apathy in Parkinson’s disease. The Journal of Neuropsychiatry and Clinical Neurosciences, 4(2), 134–139. https://doi.org/10.1176/jnp.4.2.134

Article  CAS  PubMed  Google Scholar 

Stoodley, C. J., & Schmahmann, J. D. (2018). Functional topography of the human cerebellum. Handbook of Clinical Neurology, 154, 59–70. https://doi.org/10.1016/B978-0-444-63956-1.00004-7

Article  PubMed  Google Scholar 

Szpunar, K. K., Watson, J. M., & McDermott, K. B. (2007). Neural substrates of envisioning the future. Proceedings of the National Academy of Sciences of the United States of America, 104(2), 642–647. https://doi.org/10.1073/pnas.0610082104

Article  CAS  PubMed  PubMed Central  Google Scholar 

Tamir, R., Dickstein, R., & Huberman, M. (2007). Integration of motor imagery and physical practice in group treatment applied to subjects with Parkinson’s disease. Neurorehabilitation and Neural Repair, 21(1), 68–75. https://doi.org/10.1177/1545968306292608

Article  PubMed 

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