Effects and mechanisms of mindfulness training and physical exercise on cognition, emotional wellbeing, and brain outcomes in chronic stroke patients: Study protocol of the MindFit project randomized controlled trial

Adrià Bermudo-Gallaguet, Mar Ariza, Rosalia Dacosta-Aguayo, Daniela Agudelo, Neus Camins-Vila, Maria Boldó, Òscar Carrera, Sandra Vidal, Blai Ferrer-Uris, Albert Busquets, Marc Via, Guillem Pera, Cynthia Cáceres, Meritxell Gomis, Alberto García-Molina, José María Tormos, Ana Arrabé, Gustavo Diez, Maria José Durà Mata, Pere Torán-Monserrat, Juan José Soriano-Raya, Sira Domènech, Alexandre Perera-Lluna, Kirk I Erickson, Maria Mataró, Adrià Bermudo-Gallaguet, Mar Ariza, Rosalia Dacosta-Aguayo, Daniela Agudelo, Neus Camins-Vila, Maria Boldó, Òscar Carrera, Sandra Vidal, Blai Ferrer-Uris, Albert Busquets, Marc Via, Guillem Pera, Cynthia Cáceres, Meritxell Gomis, Alberto García-Molina, José María Tormos, Ana Arrabé, Gustavo Diez, Maria José Durà Mata, Pere Torán-Monserrat, Juan José Soriano-Raya, Sira Domènech, Alexandre Perera-Lluna, Kirk I Erickson, Maria Mataró

Abstract

Background: Post-stroke cognitive and emotional complications are frequent in the chronic stages of stroke and have important implications for the functionality and quality of life of those affected and their caregivers. Strategies such as mindfulness meditation, physical exercise (PE), or computerized cognitive training (CCT) may benefit stroke patients by impacting neuroplasticity and brain health.

Materials and methods: One hundred and forty-one chronic stroke patients are randomly allocated to receive mindfulness-based stress reduction + CCT (n = 47), multicomponent PE program + CCT (n = 47), or CCT alone (n = 47). Interventions consist of 12-week home-based programs five days per week. Before and after the interventions, we collect data from cognitive, psychological, and physical tests, blood and stool samples, and structural and functional brain scans.

Results: The effects of the interventions on cognitive and emotional outcomes will be described in intention-to-treat and per-protocol analyses. We will also explore potential mediators and moderators, such as genetic, molecular, brain, demographic, and clinical factors in our per-protocol sample.

Discussion: The MindFit Project is a randomized clinical trial that aims to assess the impact of mindfulness and PE combined with CCT on chronic stroke patients' cognitive and emotional wellbeing. Furthermore, our design takes a multimodal biopsychosocial approach that will generate new knowledge at multiple levels of evidence, from molecular bases to behavioral changes.

Clinical trial registration: www.ClinicalTrials.gov, identifier NCT04759950.

Keywords: biomarkers; computerized cognitive training; mindfulness; neuroimaging; physical exercise; stroke.

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Copyright © 2022 Bermudo-Gallaguet, Ariza, Dacosta-Aguayo, Agudelo, Camins-Vila, Boldó, Carrera, Vidal, Ferrer-Uris, Busquets, Via, Pera, Cáceres, Gomis, García-Molina, Tormos, Arrabé, Diez, Durà Mata, Torán-Monserrat, Soriano-Raya, Domènech, Perera-Lluna, Erickson and Mataró.

Figures

FIGURE 1
FIGURE 1
MindFit project graphical objectives. APOE, apolipoprotein E; BDNF, brain-derived neurotrophic factor; CCT, computerized cognitive training; CRP, C-reactive protein; IGF-I, insulin-like growth factor I; IL-6, interleukin-6; MBSR, mindfulness-based stress reduction; PE, physical exercise; VEGF, vascular endothelial growth factor.
FIGURE 2
FIGURE 2
MindFit project study design. CCT, computer-based cognitive training; MBSR, mindfulness-based stress reduction; PE, physical exercise.

References

    1. Abbott R. A., Whear R., Rodgers L. R., Bethel A., Coon J. T., Kuyken W., et al. (2014). Effectiveness of mindfulness-based stress reduction and mindfulness based cognitive therapy in vascular disease: A systematic review and meta-analysis of randomised controlled trials. J. Psychosom. Res. 76 341–351. 10.1016/j.jpsychores.2014.02.012
    1. Aguado J., Luciano J. V., Cebolla A., Serrano-Blanco A., Soler J., García-Campayo J. (2015). Bifactor analysis and construct validity of the five facet mindfulness questionnaire (FFMQ) in non-clinical Spanish samples. Front. Psychol. 6:404. 10.3389/fpsyg.2015.00404
    1. Ali A., Tabassum D., Baig S. S., Moyle B., Redgrave J., Nichols S., et al. (2021). Effect of exercise interventions on health-related quality of life after stroke and transient ischemic attack: A systematic review and meta-analysis. Stroke 52 2445–2455. 10.1161/STROKEAHA.120.032979
    1. Amorós-Aguilar L., Rodríguez-Quiroga E., Sánchez-Santolaya S., Coll-Andreu M. (2021). Effects of combined interventions with aerobic physical exercise and cognitive training on cognitive function in stroke patients: A systematic review. Brain Sci. 11:473. 10.3390/brainsci11040473
    1. Andrade E., Arce C., De Francisco C., Torrado J., Garrido J. (2013). Abbreviated version in spanish of the POMS questionnaire for adult athletes and general population. Rev. Psicol. Deporte 22 95–102.
    1. Ayerbe L., Ayis S., Wolfe C. D. A., Rudd A. G. (2013). Natural history, predictors and outcomes of depression after stroke: systematic review and meta-analysis. Br. J. Psychiatry 202 14–21. 10.1192/bjp.bp.111.107664
    1. Bados A., Solanas A., Andrés R. (2005). Psycometric Properties of the Spanish Version of Depression, Anxiety and Stress Scales (DASS). Psicothema 17 679–683.
    1. Billinger S. A., Arena R., Bernhardt J., Eng J. J., Franklin B. A., Johnson C. M., et al. (2014). Physical Activity and Exercise Recommendations for Stroke Survivors: A Statement for Healthcare Professionals From the American Heart Association/American Stroke Association. Stroke 45 2532–2553. 10.1161/STR.0000000000000022
    1. Blesa R., Pujol M., Aguilar M., Santacruz P., Bertran-Serra I., Hernández G., et al. (2001). Clinical validity of the “mini-mental state” for Spanish speaking communities. Neuropsychologia 39 1150–1157. 10.1016/S0028-3932(01)00055-0
    1. Cano-Climent A., Oliver-Roig A., Cabrero-García J., de Vries J., Richart-Martínez M. (2017). The Spanish version of the Fatigue Assessment Scale: reliability and validity assessment in postpartum women. PeerJ 5:e3832. 10.7717/peerj.3832
    1. Caspersen C. J., Powell K. E., Christenson G. M. (1985). Physical activity, exercise, and physical fitness: Definitions and distinctions for health-related research. Public Health Rep. 100 126–131.
    1. Chan A. W., Tetzlaff J. M., Altman D. G., Laupacis A., Gøtzsche P. C., Krleža-Jeriæ K., et al. (2013). SPIRIT 2013 Statement: Defining standard protocol items for clinical trials. Ann. Intern. Med. 158 200–207. 10.7326/0003-4819-158-3-201302050-00583
    1. Costa P. T., McCrae R. R. (2008). NEO-FFI, Inventario NEO reducido de Cinco Factores, 3a Edición revisada y ampliada. Madrid: TEA Ediciones.
    1. Díaz D., Rodríguez-Carvajal R., Blanco A., Moreno-Jiménez B., Gallardo I., Valle C., et al. (2006). Spanish adaptation of the Psychological Well-Being Scales (PWBS). Psicothema 18 572–577.
    1. Donkor E. S. (2018). Stroke in the 21st Century: A snapshot of the burden, epidemiology, and quality of life. Stroke Res. Treat. 2018:3238165. 10.1155/2018/3238165
    1. Eng J. J., Reime B. (2014). Exercise for depressive symptoms in stroke patients: a systematic review and meta-analysis. Clin. Rehabil. 28 731–739. 10.1177/0269215514523631
    1. Erickson K. I., Donofry S. D., Sewell K. R., Brown B. M., Stillman C. M. (2022). Cognitive aging and the promise of physical activity. Annu. Rev. Clin. Psychol. 18:1. 10.1146/annurev-clinpsy-072720-014213
    1. Erickson K. I., Leckie R. L., Weinstein A. M. (2014). Physical activity, fitness, and gray matter volume. Neurobiol. Aging 35 S20–S28. 10.1016/j.neurobiolaging.2014.03.034
    1. Feigin V. L., Norrving B., Mensah G. A. (2017). Global burden of stroke. Circ. Res. 120 439–448. 10.1161/CIRCRESAHA.116.308413
    1. Feixas G., Evans C., Trujillo A., Saúl L. Á, Botella L., Corbella S., et al. (2012). La versión española del CORE-OM: Clinical outcomes in routine evaluation - outcome measure. Rev. Psicoter. 23 109–135. 10.33898/rdp.v23i89.641
    1. Fernández Sanz A., Ruiz Serrano J., Tejada Meza H., Marta Moreno J. (2021). Validation of the Spanish-language version of the simplified modified Rankin Scale telephone questionnaire. Neurologia 37 271–276. 10.1016/j.nrl.2019.03.003
    1. Fernández-Concepción O., Ramírez-Pérez E., Álvarez M. A., Buergo-Zuáznabar M. A. (2008). Validation of the stroke-specific quality of life scale (ECVI-38). Rev. Neurol. 46 147–152. 10.33588/rn.4603.2007502
    1. Gates N., Valenzuela M. (2010). Cognitive exercise and its role in cognitive function in older adults. Curr. Psychiatry Rep. 12 20–27. 10.1007/s11920-009-0085-y
    1. Goldberg S. B., Riordan K. M., Sun S., Davidson R. J. (2022). The Empirical Status of Mindfulness-Based Interventions: A Systematic Review of 44 Meta-Analyses of Randomized Controlled Trials. Perspect. Psychol. Sci. 17 108–130. 10.1177/1745691620968771
    1. Golden C. J. (2001). STROOP. Test de Colores y Palabras, 3a Edición Edn. Madrid: TEA Ediciones.
    1. González N., Bilbao A., Forjaz M. J., Ayala A., Orive M., Garcia-Gutierrez S., et al. (2018). Psychometric characteristics of the Spanish version of the Barthel Index. Aging Clin. Exp. Res. 30 489–497. 10.1007/s40520-017-0809-5
    1. Goodglass H., Kaplan E., Barresi B. (2001). Test de Boston para el Diagnóstico de la Afasia, 3a Edición Edn. Madrid: Editorial Médica Panamericana.
    1. Hoffmann T. C., Glasziou P. P., Boutron I., Milne R., Perera R., Moher D., et al. (2014). Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide. BMJ 348:g1687. 10.1136/bmj.g1687
    1. Kabat-Zinn J. (2003). Mindfulness-Based Interventions in Context: Past, Present, and Future. Clin. Psychol. Sci. Pract. 10 144–156. 10.1093/clipsy.bpg016
    1. Kandola A., Ashdown-Franks G., Hendrikse J., Sabiston C. M., Stubbs B. (2019). Physical activity and depression: Towards understanding the antidepressant mechanisms of physical activity. Neurosci. Biobehav. Rev. 107 525–539. 10.1016/j.neubiorev.2019.09.040
    1. Lawrence M., Booth J., Mercer S., Crawford E. (2013). A Systematic Review of the Benefits of Mindfulness-Based Interventions following Transient Ischemic Attack and Stroke. Int. J. Stroke 8 465–474. 10.1111/ijs.12135
    1. Lee Y. T., Mohd Ismail N. I., Wei L. K. (2021). Microbiome and ischemic stroke: A systematic review. PLoS One 16:e0245038. 10.1371/journal.pone.0245038
    1. Lezak M. D., Howieson D. B., Bigler E. D., Tranel D. (2012). Neuropsychological Assessment, 5th Edn. New York, NY: Oxford University Press.
    1. Lucas-Carrasco R. (2012). The WHO quality of life (WHOQOL) questionnaire: Spanish development and validation studies. Qual. Life Res. 21 161–165. 10.1007/s11136-011-9926-3
    1. Manor O., Dai C. L., Kornilov S. A., Smith B., Price N. D., Lovejoy J. C., et al. (2020). Health and disease markers correlate with gut microbiome composition across thousands of people. Nat. Commun. 11:5206. 10.1038/s41467-020-18871-1
    1. Martínez-González M. A., García-Arellano A., Toledo E., Salas-Salvadó J., Buil-Cosiales P., Corella D., et al. (2012). A 14-item mediterranean diet assessment tool and obesity indexes among high-risk subjects: The PREDIMED trial. PLoS One 7:e43134. 10.1371/journal.pone.0043134
    1. Mingming Y., Bolun Z., Zhijian L., Yingli W., Lanshu Z. (2022). Effectiveness of computer-based training on post-stroke cognitive rehabilitation: A systematic review and meta-analysis. Neuropsychol. Rehabil. 32 481–497. 10.1080/09602011.2020.1831555
    1. Montaner J., Alvarez-Sabín J. (2006). NIH stroke scale and its adaptation to Spanish. Neurologia 21 192–202.
    1. Montejo Carrasco P., Montenegro Peña M., Sueiro M. J. (2012). The Memory Failures of Everyday Questionnaire (MFE): Internal consistency and reliability. Span. J. Psychol. 15 768–776. 10.5209/rev_sjop.2012.v15.n2.38888
    1. Nyberg C. K., Nordvik J. E., Becker F., Rohani D. A., Sederevicius D., Fjell A. M., et al. (2018). A longitudinal study of computerized cognitive training in stroke patients – effects on cognitive function and white matter. Top. Stroke Rehabil. 25 241–247. 10.1080/10749357.2018.1443570
    1. Obaid M., Flach C., Marshall I., Wolfe C. D. A., Douiri A. (2020). Long-term outcomes in stroke patients with cognitive impairment: A population-based study. Geriatrics 5:32. 10.3390/GERIATRICS5020032
    1. Oberlin L. E., Waiwood A. M., Cumming T. B., Marsland A. L., Bernhardt J., Erickson K. I. (2017). Effects of Physical Activity on Poststroke Cognitive Function: A Meta-Analysis of Randomized Controlled Trials. Stroke 48 3093–3100. 10.1161/STROKEAHA.117.017319
    1. O’Brien B. C., Harris I. B., Beckman T. J., Reed D. A., Cook D. A. (2014). Standards for Reporting Qualitative Research: A Synthesis of Recommendations. Acad. Med. 89 1245–1251. 10.1097/ACM.0000000000000388
    1. Pedrero Pérez E. J., Ruiz Sánchez de León J. M., Rojo Mota G., Llanero Luque M., Olivar Arroyo Á, Bouso Saiz J. C., et al. (2009). Spanish version of the Dysexecutive Questionnaire (DEX-Sp): psychometric properties in addicts and non-clinical sample. Adicciones 21 155–166. 10.20882/adicciones.243
    1. Peña-Casanova J., Quiñones-Úbeda S., Gramunt-Fombuena N., Quintana-Aparicio M., Aguilar M., Badenes D., et al. (2009). Spanish Multicenter Normative Studies (NEURONORMA Project): Norms for verbal fluency tests. Arch. Clin. Neuropsychol. 24 395–411. 10.1093/arclin/acp042
    1. Pendlebury S. T., Rothwell P. M. (2009). Prevalence, incidence, and factors associated with pre-stroke and post-stroke dementia: a systematic review and meta-analysis. Lancet Neurol. 8 1006–1018. 10.1016/S1474-4422(09)70236-4
    1. Ponsford J., Kinsella G. (1991). The use of a rating scale of attentional behaviour. Neuropsychol. Rehabil. 1 241–257. 10.1080/09602019108402257
    1. Rami L., Valls-Pedret C., Bartrés-Faz D., Caprile C., Solé-Padullés C., Castellví M., et al. (2011). Cognitive reserve questionnaire. Scores obtained in a healthy elderly population and in one with Alzheimer’s disease. Rev. Neurol. 52 195–201. 10.33588/rn.5204.2010478
    1. Rebar A. L., Stanton R., Geard D., Short C., Duncan M. J., Vandelanotte C. (2015). A meta-meta-analysis of the effect of physical activity on depression and anxiety in non-clinical adult populations. Health Psychol. Rev. 9 366–378. 10.1080/17437199.2015.1022901
    1. Reive C. (2019). The Biological Measurements of Mindfulness-based Stress Reduction: A Systematic Review. Explore 15 295–307. 10.1016/j.explore.2019.01.001
    1. Rey A. (2009). REY, Test de Copia de una Figura Compleja. Madrid: TEA Ediciones.
    1. Rigby H., Gubitz G., Phillips S. (2009). A systematic review of caregiver burden following stroke. Int. J. Stroke 4 285–292. 10.1111/j.1747-4949.2009.00289.x
    1. Rikli R. E., Jones C. J. (1999). Development and validation of a functional fitness test for community-residing older adults. J. Aging Phys. Act. 7 129–161. 10.1123/japa.7.2.129
    1. Royuela Rico A., Macías Fernández J. A. (1997). Propiedades clinimétricas de la versión castellana del Cuestionario de Pittsburgh. Vigilia-Sueño 9 81–94.
    1. Ruiz Comellas A., Pera G., Baena Díez J. M., Mundet Tudurí X., Alzamora Sas T., Elosua R., et al. (2012). Validation of a Spanish Short Version of the Minnesota Leisure Time Physical Activity Questionnaire (VREM). Rev. Esp. Salud Pública 86 495–508.
    1. Sanada K., Alda Díez M., Salas Valero M., Pérez-Yus M. C., Demarzo M. M. P., Montero-Marín J., et al. (2017). Effects of mindfulness-based interventions on biomarkers in healthy and cancer populations: a systematic review. BMC Complement. Altern. Med. 17:125. 10.1186/s12906-017-1638-y
    1. Sanz J., Perdigón A. L., Vázquez C. (2003). The spanish adaptation of Beck’s Depression Inventory-II (BDI-II): 2. Psychometric properties in the general population. Clin. Salud 14 249–280.
    1. Schmidt M. (1996). Rey Auditory Verbal Learning Test: A Handbook. Los Angeles, CA: Western Psychological Services.
    1. Sexton C. E., Betts J. F., Demnitz N., Dawes H., Ebmeier K. P., Johansen-Berg H. (2016). A systematic review of MRI studies examining the relationship between physical fitness and activity and the white matter of the ageing brain. Neuroimage 131 81–90. 10.1016/j.neuroimage.2015.09.071
    1. Sexton E., McLoughlin A., Williams D. J., Merriman N. A., Donnelly N., Rohde D., et al. (2019). Systematic review and meta-analysis of the prevalence of cognitive impairment no dementia in the first year post-stroke. Eur. Stroke J. 4 160–171. 10.1177/2396987318825484
    1. Sigmundsdottir L., Longley W. A., Tate R. L. (2016). Computerised cognitive training in acquired brain injury: A systematic review of outcomes using the International Classification of Functioning (ICF). Neuropsychol. Rehabil. 26 673–741. 10.1080/09602011.2016.1140657
    1. Solana J., Cáceres C., García-Molina A., Opisso E., Roig T., Tormos J. M., et al. (2015). Improving brain injury cognitive rehabilitation by personalized telerehabilitation services: guttmann neuropersonal trainer. IEEE J. Biomed. Health Inform. 19 124–131. 10.1109/JBHI.2014.2354537
    1. Soler J., Tejedor R., Feliu-Soler A., Pascual J. C., Cebolla A., Soriano J., et al. (2012). Psychometric proprieties of Spanish version of Mindful Attention Awareness Scale (MAAS). Actas Esp. Psiquiatr. 40 19–26.
    1. Stillman C. M., Donofry S. D., Erickson K. I. (2019). Exercise, fitness and the aging brain: A review of functional connectivity in aging. Arch. Psychol. 3 1–23. 10.31296/aop.v3i4.98
    1. Stillman C. M., Esteban-Cornejo I., Brown B., Bender C. M., Erickson K. I. (2020). Effects of exercise on brain and cognition across age groups and health states. Trends Neurosci. 43 533–543. 10.1016/j.tins.2020.04.010
    1. Su F., Xu W. (2020). Enhancing brain plasticity to promote stroke recovery. Front. Neurol. 11:554089. 10.3389/fneur.2020.554089
    1. Sun R., Li X., Zhu Z., Li T., Li W., Huang P., et al. (2021). Effects of combined cognitive and exercise interventions on poststroke cognitive function: a systematic review and meta-analysis. BioMed Res. Int. 2021:4558279. 10.1155/2021/4558279
    1. Tang Y. Y., Hölzel B. K., Posner M. I. (2015). The neuroscience of mindfulness meditation. Nat. Rev. Neurosci. 16 213–225. 10.1038/nrn3916
    1. Tombaugh T. N. (2004). Trail Making Test A and B: Normative data stratified by age and education. Arch. Clin. Neuropsychol. 19 203–214. 10.1016/S0887-6177(03)00039-8
    1. Ulrichsen K. M., Kaufmann T., Dørum E. S., Kolskår K. K., Richard G., Alnaes D., et al. (2016). Clinical Utility of Mindfulness Training in the Treatment of Fatigue After Stroke, Traumatic Brain Injury and Multiple Sclerosis: A Systematic Literature Review and Meta-Analysis. Front. Psychol. 7:912. 10.3389/fpsyg.2016.00912
    1. Valenzuela M. J., Breakspear M., Sachdev P. (2007). Complex mental activity and the aging brain: Molecular, cellular and cortical network mechanisms. Brain Res. Rev. 56 198–213. 10.1016/j.brainresrev.2007.07.007
    1. van de Ven R. M., Murre J. M. J., Veltman D. J., Schmand B. A. (2016). Computer-based cognitive training for executive functions after stroke: A systematic review. Front. Hum. Neurosci. 10:150. 10.3389/fnhum.2016.00150
    1. Vioque J., Quiles J. (2003). Encuesta de Nutrición y Salud de la Comunidad Valenciana. Alicante: Universidad Miguel Hernández.
    1. Wechsler D. (2001). WAIS-III. Escala de Inteligencia de Wechsler para Adultos. Madrid: TEA Ediciones.
    1. World Health Organization (2020). Adverse Childhood Experiences International Questionnaire (ACE-IQ). Geneva: WHO.
    1. Xing Y., Bai Y. (2020). A review of exercise-induced neuroplasticity in ischemic stroke: Pathology and mechanisms. Mol. Neurobiol. 57 4218–4231. 10.1007/s12035-020-02021-1
    1. Zou L., Sasaki J. E., Zeng N., Wang C., Sun L. (2018). A systematic review with meta-analysis of mindful exercises on rehabilitative outcomes among poststroke patients. Arch. Phys. Med. Rehabil. 99 2355–2364. 10.1016/j.apmr.2018.04.010

Source: PubMed

3
Tilaa