Caregiver-driven cognitive training program for dementia: a treatment development and feasibility study protocol in Indian population
DOI:
https://doi.org/10.18203/2349-3259.ijct20251210Keywords:
Cognitive impairment, Dementia, Ageing, Cognitive decline, Neuropsychological rehabilitationAbstract
Background: Cognitive training (CT) is an efficacious intervention for promoting experience-dependent neuroplasticity, especially in modifying cognitive decline in neurodegenerative conditions. Despite its immense potential, there exist clinical and logistic challenges in delivering the intervention to the dementia population. Given the cultural context of collectivistic societies like India, where family involvement is integral in illness-related care, a caregiver-supported CT program may overcome current challenges and help promote accessible and affordable dementia care.
Methods: The prospective study holds two main objectives that is to develop a caregiver-driven CT program called the Individualized Cognitive Augmentation Regimen for Elderly (iCARE) and to assess the feasibility of iCARE for mild to moderate dementia. The intervention is designed systematically through literature review, item generation, expert validation, field trials, iterative feedback modification and pilot testing. Rooted in principles of neuroplasticity, iCARE targets the core cognitive abilities of attention, executive functions, language and memory. It employs an integrative approach combining bottom-up and top-down strategies, potentially loading on the frontoparietal or central executive networks. The feasibility testing protocol of iCARE aims to build a sustainable model by empowering caregivers as co-therapists through adequate training, thereby reducing the existing treatment gap for dementia in India.
Conclusion: The interactive and individualized nature of iCARE may contribute to delaying/slowing cognitive decline in dementia patients while supporting caregivers' well-being. This paper addresses the technical 'what,' 'how,' and 'why' questions in developing and feasibility-testing a culturally specific CT program for dementia.
Trial Registration: Clinical Trial Registry of India (7th October 2022) - CTRI/2022/10/046281.
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References
Vinogradov S, Fisher M, de Villers-Sidani E. Cognitive Training for Impaired Neural Systems in Neuropsychiatric Illness. Neuropsychopharmacol. 2012;37(1):43-76. DOI: https://doi.org/10.1038/npp.2011.251
Brioschi GA, Bieler M, Altomare D. Protocols for cognitive enhancement. A user manual for Brain Health Services—part 5 of 6. Alz Res Therapy. 2021;13(1):172. DOI: https://doi.org/10.1186/s13195-021-00844-1
Cabeza R, Albert M, Belleville S, et al. Maintenance, reserve and compensation: the cognitive neuroscience of healthy ageing. Nat Rev Neurosci. 2018;19(11):701-10. DOI: https://doi.org/10.1038/s41583-018-0068-2
Carrion C, Folkvord F, Anastasiadou D, Aymerich M. Cognitive Therapy for Dementia Patients: A Systematic Review. Dement Geriatr Cogn Disord. 2018;46(2):1-26. DOI: https://doi.org/10.1159/000490851
Park DC, Bischof GN. The aging mind: neuroplasticity in response to cognitive training. Dialogues in Clinical Neuroscience. 2013;15(1):109-19. DOI: https://doi.org/10.31887/DCNS.2013.15.1/dpark
Wolf D, Tüscher O. Mechanisms and modulators of cognitive training gain transfer in cognitively healthy aging: study protocol of the age gain study. Trials. 2018;19(1):337. DOI: https://doi.org/10.1186/s13063-018-2688-2
Zelinski EM. Far transfer in cognitive training of older adults. Restor Neurol Neurosci. 2009;27(5):455-71. DOI: https://doi.org/10.3233/RNN-2009-0495
Robertson IH, Murre JMJ. Rehabilitation of brain damage; brain plasticity and principles of guided recovery. Psychological Bulletin. 1999;125:544-575. DOI: https://doi.org/10.1037//0033-2909.125.5.544
Venneri A, Manca R, Fernandes L, Bandmann O, De Marco M. Targeting mechanisms in cognitive training for neurodegenerative diseases. Neural Regen Res. 2021;16(3):500. DOI: https://doi.org/10.4103/1673-5374.293141
Martínez K, Solana AB, Burgaleta M. Changes in resting-state functionally connected parietofrontal networks after videogame practice. Hum Brain Mapp. 2013;34(12):3143-57. DOI: https://doi.org/10.1002/hbm.22129
Cao W, Cao X, Hou C. Effects of Cognitive Training on Resting-State Functional Connectivity of Default Mode, Salience, and Central Executive Networks. Front Aging Neurosci. 2016;8:70. DOI: https://doi.org/10.3389/fnagi.2016.00070
Nizam NAM. Evidence of cognitive training in mild to moderate dementia: Commentary On… Cochrane Corner. BJPsych Advances. 2020;26(2):67-71. DOI: https://doi.org/10.1192/bja.2019.73
Nulkar A, Paralikar V, Juvekar S. Dementia in India-a call for action. J of Global Health Reports. 2019;3:2019078. DOI: https://doi.org/10.29392/joghr.3.e2019078
Neely A, Vikström S, Josephsson S. Collaborative memory intervention in dementia: Caregiver participation matters. Neuropsychological Rehabil. 2009;19:696-715. DOI: https://doi.org/10.1080/09602010902719105
Quayhagen M, Corbeil R, Hendrix R, Jackson J, Snyder L, Bower D. Coping with dementia: evaluation of four nonpharmacologic interventions. International psychogeriatrics / IPA. 2000;12:249-65. DOI: https://doi.org/10.1017/S1041610200006360
16. Skivington K, Matthews L, Simpson SA, et al. A new framework for developing and evaluating complex interventions: update of Medical Research Council guidance. BMJ. 2021;374:n2061. doi:10.1136/bmj.n2061 DOI: https://doi.org/10.1136/bmj.n2061
Keshavan MS, Vinogradov S, Rumsey J, Sherrill J, Wagner A. Cognitive training in mental disorders: update and future directions. AJP. 2014;171(5):510-22. DOI: https://doi.org/10.1176/appi.ajp.2013.13081075
Dams-O’Connor K, Gordon WA. Integrating interventions after traumatic brain injury: a synergistic approach to neurorehabilitation. Brain Impairment. 2013;14(1):51-62. DOI: https://doi.org/10.1017/BrImp.2013.9
Nuechterlein KH, Ventura J, Subotnik KL, Hayata JN, Medalia A, Bell MD. Developing a cognitive training strategy for first-episode schizophrenia: integrating bottom-up and top-down approaches. American J of Psychiatric Rehabilitation. 2014;17(3):225-253. DOI: https://doi.org/10.1080/15487768.2014.935674
Kumar JK. Neuropsychological Rehabilitation in Neurological Conditions: A Circuitry Approach. In: Neuropsychological Rehabilitation: Principles and Applications. 1st ed. Elsevier insights. Elsevier, 2013.
Cicerone KD, Dahlberg C, Kalmar K, Langenbahn DM, Malec JF, Bergquist TF, et al. Evidence-based cognitive rehabilitation: recommendations for clinical practice. Arch Phys Med Rehabil. 2000;81(12):1596-615. DOI: https://doi.org/10.1053/apmr.2000.19240
Salmon DP, Bondi MW. Neuropsychological assessment of dementia. Annu Rev Psychol. 2009;60:257-82. DOI: https://doi.org/10.1146/annurev.psych.57.102904.190024
Niendam TA, Laird AR, Ray KL, Dean YM, Glahn DC, Carter CS. Meta-analytic evidence for a superordinate cognitive control network subserving diverse executive functions. Cogn Affect Behav Neurosci. 2012;12(2):241-68. DOI: https://doi.org/10.3758/s13415-011-0083-5
Perry RJ. Attention and executive deficits in Alzheimer’s disease: A critical review. Brain. 1999;122(3):383-404. DOI: https://doi.org/10.1093/brain/122.3.383
Guarino A, Favieri F, Boncompagni I, Agostini F, Cantone M, Casagrande M. Executive Functions in Alzheimer Disease: A Systematic Review. Front Aging Neurosci. 2019;10:437. DOI: https://doi.org/10.3389/fnagi.2018.00437
Rajeswaran J, Sadana D, Kashyap H. Neuropsychological Rehabilitation. In: Neuropsychological Rehabilitation. Elsevier; 2013:33-55. DOI: https://doi.org/10.1016/B978-0-12-416046-0.00003-1
27. Morris JC. The Clinical Dementia Rating (CDR): current version and scoring rules. Neurology. 1993;43(11):2412-4. DOI: https://doi.org/10.1212/WNL.43.11.2412-a
Smith S, Lamping D, Banerjee S, et al. Measurement of health-related quality of life for people with dementia: Development of a new instrument (DEMQOL) and an evaluation of current methodology. Health technology assessment (Winchester, England). 2005;9:1-93. DOI: https://doi.org/10.3310/hta9100
Jorm AF. A short form of the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE): development and cross-validation. Psychological Medicine. 1994;24(1):145-53. DOI: https://doi.org/10.1017/S003329170002691X
Jorm K. Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE). In: A Compendium of Tests, Scales and Questionnaires. 1st ed. Psychology Press; 2020: 145-148. DOI: https://doi.org/10.4324/9781003076391-36
Ganguli M, Ratcliff G, Chandra V. A hindi version of the MMSE: The development of a cognitive screening instrument for a largely illiterate rural elderly population in india. International J Ger Psych. 1995;10(5):367-77. DOI: https://doi.org/10.1002/gps.930100505
Fillenbaum G, Chandra V, Ganguli M. Development of an activities of daily living scale to screen for dementia in an illiterate rural older population in India. Age and ageing. 1999;28:161-8. DOI: https://doi.org/10.1093/ageing/28.2.161
Cummings JL, Mega M, Gray K, Rosenberg-Thompson S, Carusi DA, Gornbein J. The Neuropsychiatric Inventory: comprehensive assessment of psychopathology in dementia. Neurology. 1994;44(12):2308-14. DOI: https://doi.org/10.1212/WNL.44.12.2308
Alexopoulos GS, Abrams RC, Young RC, Shamoian CA. Cornell Scale for Depression in Dementia. Biol Psychiatry. 1988;23(3):271-84. DOI: https://doi.org/10.1016/0006-3223(88)90038-8
Kroenke K, Spitzer RL. The PHQ-9: A New Depression Diagnostic and Severity Measure. Psychiatric Annals. 2002;32(9):509-15. DOI: https://doi.org/10.3928/0048-5713-20020901-06
Spitzer RL, Kroenke K, Williams JBW, Löwe B. A Brief Measure for Assessing Generalized Anxiety Disorder: The GAD-7. Arch Intern Med. 2006;166(10):1092. DOI: https://doi.org/10.1001/archinte.166.10.1092
Zarit SH, Reever KE, Bach-Peterson J. Relatives of the impaired elderly: correlates of feelings of burden. Gerontologist. 1980;20(6):649-55. DOI: https://doi.org/10.1093/geront/20.6.649
Ott BR, Fogel BS. Measurement of depression in dementia: Self vs clinician rating. Int J Geriat Psychiatry. 1992;7(12):899-904. DOI: https://doi.org/10.1002/gps.930071209