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Transcranial magnetic stimulation intervention in Alzheimer’s disease: a research proposal for a randomized controlled trial

BMC Research Notes volume 11, Article number: 648 (2018) Cite this article

Abstract

Objective

Alzheimer’s disease is a major health problem in our society. To date, pharmacological treatments have obtained poor results and there is a growing interest in finding non-pharmacological interventions for this disease. Transcranial magnetic stimulation (TMS) is a non-invasive technique that is able to induce changes in brain activity and long-term modifications in impaired neural networks, becoming a promising clinical intervention. Our goal is to study the benefit of individualized TMS targeting based on the patient’s functional connectivity (personalized targeting), and short duration TMS protocol, instead of current non-individualized and longer session approaches. A double blind randomized controlled trial will be conducted to assess the effects of TMS treatment immediately, 1 month, 3 months and 6 months after the end of the intervention. Fifty-four patients with a diagnosis of Alzheimer’s disease will be randomly allocated into experimental (active TMS), sham control, or conventional intervention control group. We will quantify changes in cognitive, functional, and emotional deficits in Alzheimer patients, as well as the functional connectivity changes induced by the TMS treatment.

Results

We expect to demonstrate that personalized TMS intervention has a measurable positive impact in cognition, emotion, daily living activities and brain connectivity, thus representing a potential treatment for Alzheimer’s disease.

Trial registration The trial has been prospectively registered at ClinicalTrials.gov, identifier NCT03121066. Date of registration: 04/19/2017

Introduction

Alzheimer’s disease (AD) is the most common form of dementia worldwide (50–70%) [1], estimating that dementia will affect 65.7 million people by the year 2030 [2]. Despite advances in the pharmacological treatment of AD, no therapies currently exist that can modify the course of the disease [3]; transcranial magnetic stimulation (TMS) applied in combination with cognitive stimulation (CS) seems a promising approach [4, 5]. TMS is able to induce changes in cortical excitability, increasing brain plasticity and facilitating the recovery and/or reorganisation of affected neural networks in pathologies causing cognitive impairment [6,7,8,9,10].

The most encouraging results for the use of TMS have been obtained after applying high frequency stimulation (at 10–20 Hz) to increase patient’s cortical excitability over the left dorsolateral prefrontal cortex (DLPFC) [11, 12] or bilaterally [13,14,15]. Improvements have been found in general cognitive performance [13, 15], functional and depression scales [13], episodic memory and processing speed [12], and language skills [11, 14]. Newly developed protocols apply stimulation over several brain regions bilaterally, concurrently with CS, during 6 months, finding medium to large effect size improvements (0.4–0.7) in neuropsychological, clinical and functional assessments up to 4.5 months [16, 17]. Similar, but sorter interventions (6 weeks) have been employed also with encouraging results [18,19,20,21].

Despite the aforementioned promising results, to date there has been no randomized controlled trial with AD patients using the intermittent theta burst stimulation (iTBS) protocol. iTBS protocol allows an increase in cortical excitability in a much shorter time than conventional repetitive TMS (3 vs. 30 min) and has been effective, for example, in improving language deficits in Parkinson’s and post-stroke aphasia patients [22, 23].

To determine the target stimulation area, all the previous studies have looked at structural aspects, but none of them used brain functional information. Location based on the functional involvement of cortical areas in relevant cortico-subcortical networks allows a much more specific and individualized treatment approach, which might be the best option in this disease [9, 24, 25]. Finally, the underlying mechanisms explaining the observed improvements (e.g. functional and/or structural brain changes) and the possible influence of genetic factors (e.g. the presence of specific ApoE alleles) have not been explored [26, 27].

Therefore, the main goal of this clinical trial is to study the benefits of individually targeted short TMS protocol combined with CS in AD. We will assess the efficacy of iTBS protocol in the improvement of cognitive, functional and emotional deficits, as well as functional brain connectivity, and explore genetic modulatory factors. We hypothesize that a 2 weeks intervention (10 sessions every working day), stimulating the DLPFC and parietal cortex (PC) of both hemispheres, combined with CS, will be more effective than CS conducted alone.

Main text

We will conduct a randomized, double-blind, parallel clinical trial. The participants will be randomly allocated (1:1:1) to one of the three groups: (1) experimental group: TMS + CS; (2) sham control group: sham TMS + CS; (3) non-TMS control group: CS alone. The reporting of the trial outcomes will comply with the CONSORT guidelines (http://www.consort-statement.org/) for non-pharmacologic treatment [28], and it is registered in ClinicalTrials.gov (https://clinicaltrials.gov/; identifier NCT03121066).

All the necessary means for conducting the trial will be provided both by the Cognitive NeuroLab research group (Universitat Oberta de Catalunya) and by Consorci Sanitari de Terrassa.

Sample

The sample will consist of 54 volunteer patients (18 per group), aged 60–75 years old, with a diagnosis of AD according to the NIA-AA. To ensure the maximum homogeneity of the sample in terms of severity of the symptoms and current health condition that may interfere with the diagnostic, we will apply strict inclusion and exclusion criteria (see Table 1).

Table 1 Inclusion and exclusion criteria
Full size table

Participants will be selected from patients attending the Dementia Unit at Consorci Sanitari de Terrassa.

To calculate the sample size we used G*Power software (v 3.1.0.2) [35, 36], assuming a dropout risk of a 20% (so the withdrawal of participants does not undermine the clinical relevance of the results), a type I error probability (α) of 0.05, and a type II error probability or statistical power (1 − β) of 0.8. The effect size for a treatment consisting of CS is medium [37] and, given the recent results [5, 19] we expect TMS to increase the effects of CS alone, then assuming a Cohen’s effect size of at least 0.6. Thus, the total recommended sample size is 45, 15 per arm to which we added 3 more participants per group to cover the 20% dropout risk. The risk of clustering effect [38] is absent in this trial since the centre and the healthcare professionals providing the treatments (TMS and/or CS) will be the same for all patients.

Procedure

The intervention consists of a 2-week treatment during which TMS will be applied for 10 days over four different brain regions (see below). Since both, short single-region interventions and long multiple-region interventions have achieved positive outcomes in terms of cognitive and functional improvements [e.g., 13, 15, 18, 39] we have followed a cost-effectiveness approach proposing a short (2 weeks) multi-region (four brain areas) intervention to maximize the outcomes while reducing the costs. The stimulation protocol will be the iTBS (600 pulses in bursts of 3 pulses applied at 50 Hz administered every 200 ms -5 Hz- with intervals of 2 s of stimulation and 8 s of rest, lasting 3 min and 12 s). The stimulation will be delivered using a Magstim Super Rapid2 device, with a 70 mm, 8-figure coil and neuronavigated using Brainsight™ 2 device. The stimulation intensity will be set at the 80% of the active motor threshold [see safety guidelines, 10, 34].

Stimulation will be delivered over the DLPFC and the PC in both hemispheres (1 day left DLPFC and right PC with a 15 min interval, and the contralateral areas the following day). The specific target areas for stimulation will be determined individually based on the functional connectivity of each area with two subcortical regions related to AD cognitive dysfunction: the fornix and the hippocampus respectively [40,41,42,43]. The seeds used to compute the connectivity analysis, will be 10 mm radius spheres placed bilaterally on the fornix and the hippocampus and adjusted to individual anatomical landmarks. The selection of the specific TMS targets within the DLPFC and PC will be based on its functional connectivity with the seeds. Based on previous literature, the stimulation over the DLPFC is intended to improve participants performance in language tasks and general functioning [11, 13, 14] while stimulation in parietal is intended to improve performance in memory tasks [43, 44].

The placebo condition (sham TMS control group) will be performed using the same stimulation protocol as the active condition over the same areas (bilateral DLPFC and bilateral PC) but with the coil rotated 90° to prevent the magnetic field from inducing electrical activity in the cortex.

Before and after each session, mood and fatigue will be assessed using a visual analogue scale (VAS). At the end of each session, the side effects of TMS will be also assessed.

Along with the TMS treatment, all patients will undergo the CS intervention programme regularly provided by the Consorci Sanitari de Terrassa. The CS is based on Clare and Woods’ definition [45] and Bottino’s et al. model [46], and follows the basic principles of non-pharmacological interventions aiming to improve the quality of life through engagement in significant activities. The program includes 1-h cognitive stimulation and occupational therapy group sessions three times per week (10–12 patients per group). All sessions are conducted by an occupational therapist and supervised by a clinical neuropsychologist who design the CS for each patient. All sessions include reality orientation therapy for 10 min, and training in attention and concentration, memory, language, calculation, gnosias, praxias, or executive function for 50 min [for more details see, 47].

Neuropsychological, functional and emotional aspects will be assessed before and after the intervention (see Table 2 and Fig. 1). A neuropsychologist blinded to the treatment will manage the outcome measurements at all intervention time points.

Table 2 Outcome measures
Full size table

Given the need of multiple administrations, we avoided neuropsychological tests with a marked practice effect, and selected, when possible, tests with parallel versions. The length of each assessment session is ~ 2 h.

All participants will undergo an MRI scan before and after their participation in order to: (1) detect the presence of neurological disorders; (2) localize individual cortical targets for TMS based on their functional involvement in cortico-subcortical networks; (3) guide neuronavigated TMS; and (4) assess the functional and structural brain changes after the intervention.

First exploration, lasting ~ 30 min, will consist in a brain volumetric acquisition (3D) and a resting state acquisition. At the end of the study (three days after treatment), resting state will be acquired again to obtain reliable data on the effects of the intervention on brain activity.

The planning of the clinical trial following the SPIRIT guidelines is displayed in Fig. 1.

Fig. 1
figure 1

Trial timeline following SPIRIT recommendations

Full size image

Ethical and legal aspects

Patients’ participation will be voluntary after being informed about the objectives of the study and signing an informed consent form. The participants will be free to withdraw from the study at any time. The researchers agree to respect all the established current legislation regarding clinical research (WMA Declaration of Helsinki, 2004; Law 41/2002 on patient autonomy). The Institutional Review Board of the Consorci Sanitari de Terrassa has approved this project.

In accordance with Regulation (EU) 2016/679, on the protection of personal data, any data collected from the participants will be treated with strict confidentiality.

Possible risks, side effects and discomforts

TMS has been used in research for more than 20 years and safety guidelines have been developed [62]. In this study, all the safety recommendations will be followed and a doctor will always be on call during the TMS sessions.

Statistical analyses

Statistical analyses will be performed using SPSS (v. 23). We will perform a descriptive analysis of demographic and clinical variables (age, sex, years of schooling, diagnosis, and comorbid disorder) and multivariate analysis of variance for repeated measures of cognitive, emotional and functional variables included as a measure of efficacy. All statistical tests will be performed using a significance level of 0.05.

For processing and analysis of magnetic resonance images we will use different software packages: FSL (FMRIB Software Library, www.fmrib.ox.ac.uk/fsl), and FreeSurfer (http://surfer.nmr.mgh.harvard.edu).

Discussion

Nowadays, AD is the most common cause of dementia with no known cure. The cognitive decline increase as the disease progresses, and existing therapeutic approaches are not efficient in the improvement of cognitive deficits or functional limitations. TMS seems to be a promising tool for this purpose, given its ability to modulate cortical excitability and neural network activity.

Although research in this field has notably increased in recent years, it is still very scarce and the most effective stimulation parameters in terms of frequency, intensity, localization and length of stimulation, are unknown. Additionally, it is necessary to include functional and structural neuroimaging measurements to reveal the underlying neural mechanisms of the beneficial effects of TMS.

The expected results of this research will contribute to deepening the knowledge of the effectiveness of TMS as a therapeutic approach in AD, one of the most prevalent, disabling and incapacitating diseases nowadays.

Limitations

The main limitation of this study is the heterogeneity of AD patients. The variability in clinical symptoms can hinder the capacity to extract robust findings from clinical trials. To avoid this risk, a wide range of inclusion and exclusion criteria have been established. This strategy also comprises another limitation related to the recruitment process to achieve the required sample size. Thus, the strict exclusion criteria will prolong the recruitment process but it will ensure the detection of clinically meaningful effects.

Finally, another major possible limitation will be the experimental mortality due to the length of the study, which includes two follow-up assessments 1, 3, and 6 months after the intervention.

Trial status

This trial has not started the patient recruitment phase yet since no funding has been obtained to date.

Abbreviations

AD:

Alzheimer’s disease

CS:

cognitive stimulation

DLPFC:

dorsolateral prefrontal cortex

iTBS:

intermittent theta burst stimulation

MRI:

magnetic resonance imaging

PC:

parietal cortex

TMS:

transcranial magnetic stimulation

References

  1. Winblad B, Amouyel P, Andrieu S, Ballard C, Brayne C, Brodaty H, et al. Defeating Alzheimer’s disease and other dementias: a priority for European science and society. Lancet Neurol. 2016;15:455–532.

    Article  PubMed  Google Scholar 

  2. Prince M, Bryce R, Albanese E, Wimo A, Ribeiro W, Ferri CP. The global prevalence of dementia: a systematic review and metaanalysis. Alzheimer’s Dement. 2013;9(63–75):e2.

    Google Scholar 

  3. Schneider LS, Mangialasche F, Andreasen N, Feldman H, Giacobini E, Jones R, et al. Clinical trials and late-stage drug development for Alzheimer’s disease: an appraisal from 1984 to 2014. J Intern Med. 2014;275:251–83.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  4. Hsu W-Y, Ku Y, Zanto TP, Gazzaley A. Effects of non-invasive brain stimulation on cognitive function in healthy aging and Alzheimer’s disease: a systematic review and meta-analysis. Neurobiol Aging. 2015;36:2348–59.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Liao X, Li G, Wang A, Liu T, Feng S, Guo Z, et al. Repetitive transcranial magnetic stimulation as an alternative therapy for cognitive impairment in Alzheimer’s disease: a meta-analysis. J Alzheimer’s Dis. 2015;48:463–72.

    Article  Google Scholar 

  6. Cotelli M, Manenti R, Zanetti O, Miniussi C. Non-pharmacological intervention for memory decline. Front Hum Neurosci. 2012;6:46.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Nardone R, Tezzon F, Höller Y, Golaszewski S, Trinka E, Brigo F. Transcranial magnetic stimulation (TMS)/repetitive TMS in mild cognitive impairment and Alzheimer’s disease. Acta Neurol Scand. 2014;129:351–66.

    Article  PubMed  CAS  Google Scholar 

  8. Zimerman M, Nitsch M, Giraux P, Gerloff C, Cohen LG, Hummel FC. Neuroenhancement of the aging brain: restoring skill acquisition in old subjects. Ann Neurol. 2013;73:10–5.

    Article  PubMed  Google Scholar 

  9. Gonsalvez I, Baror R, Fried P, Santarnecchi E, Pascual-Leone A. Therapeutic noninvasive brain stimulation in Alzheimer’s disease. Curr Alzheimer Res. 2017;14:362–76.

    PubMed  CAS  Google Scholar 

  10. Rossini PM, Burke D, Chen R, Cohen LG, Daskalakis Z, Di Iorio R, et al. Non-invasive electrical and magnetic stimulation of the brain, spinal cord, roots and peripheral nerves: basic principles and procedures for routine clinical and research application. An updated report from an I.F.C.N. Committee. Clin Neurophysiol. 2015;91(2):79–92.

    Article  Google Scholar 

  11. Cotelli M, Calabria M, Manenti R, Rosini S, Zanetti O, Cappa SF, et al. Improved language performance in Alzheimer disease following brain stimulation. J Neurol Neurosurg Psychiatry. 2011;82:794–7.

    Article  PubMed  Google Scholar 

  12. Haffen E, Chopard G, Pretalli JB, Magnin E, Nicolier M, Monnin J, et al. A case report of daily left prefrontal repetitive transcranial magnetic stimulation (rTMS) as an adjunctive treatment for Alzheimer disease. Brain Stimul. 2012;5:264–6.

    Article  PubMed  Google Scholar 

  13. Ahmed MA, Darwish ES, Khedr EM, El serogy YM, Ali AM. Effects of low versus high frequencies of repetitive transcranial magnetic stimulation on cognitive function and cortical excitability in Alzheimer’s dementia. J Neurol. 2012;259:83–92.

    Article  PubMed  Google Scholar 

  14. Devi G, Voss HU, Levine D, Abrassart D, Heier L, Halper J, et al. Open-label, short-term, repetitive transcranial magnetic stimulation in patients with Alzheimer’s disease with functional imaging correlates and literature review. Am J Alzheimer’s Dis Other Dementias. 2014;29:248–55.

    Article  Google Scholar 

  15. Rutherford G, Lithgow B, Moussavi Z. Short and long-term effects of rTMS treatment on Alzheimer’ s disease at different stages: a pilot study. J Exp Neurosci. 2015;9:43–51.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Bentwich J, Dobronevsky E, Aichenbaum S, Shorer R, Peretz R, Khaigrekht M, et al. Beneficial effect of repetitive transcranial magnetic stimulation combined with cognitive training for the treatment of Alzheimer’s disease: a proof of concept study. J Neural Transm. 2011;118:463–71.

    Article  PubMed  CAS  Google Scholar 

  17. Rabey JM, Dobronevsky E, Aichenbaum S, Gonen O, Marton RG, Khaigrekht M. Repetitive transcranial magnetic stimulation combined with cognitive training is a safe and effective modality for the treatment of Alzheimer’s disease: a randomized, double-blind study. J Neural Transm. 2013;120:813–9.

    Article  PubMed  Google Scholar 

  18. Lee J, Choi BH, Oh E, Sohn EH, Lee AY. Treatment of Alzheimer’s disease with repetitive transcranial magnetic stimulation combined with cognitive training: a prospective, randomized, double-blind, placebo-controlled study. J Clin Neurol. 2015;12:57.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Rabey JM, Dobronevsky E. Repetitive transcranial magnetic stimulation (rTMS) combined with cognitive training is a safe and effective modality for the treatment of Alzheimer’s disease: clinical experience. J Neural Transm. 2016;123:1449–55.

    Article  PubMed  Google Scholar 

  20. Nguyen J-P, Suarez A, Kemoun G, Meignier M, Le Saout E, Damier P, et al. Repetitive transcranial magnetic stimulation combined with cognitive training for the treatment of Alzheimer’s disease. Neurophysiol Clin. 2017;47:47–53.

    Article  PubMed  Google Scholar 

  21. Brem A-K, Schilberg L, Freitas C, Atkinson N, Seligson E, Pascual-Leone A. Effects of cognitive training and rTMS in Alzheimer’s disease. Alzheimer’s Dement. 2013;9:P664.

    Article  Google Scholar 

  22. Tremblay C, Monetta L, Langlois M, Schneider C. Intermittent theta-burst stimulation of the right dorsolateral prefrontal cortex to promote metaphor comprehension in parkinson disease: a case study. Arch Phys Med Rehabil. 2016;97:74–83.

    Article  PubMed  Google Scholar 

  23. Szaflarski JP, Vannest J, Wu SW, DiFrancesco MW, Banks C, Gilbert DL. Excitatory repetitive transcranial magnetic stimulation induces improvements in chronic post-stroke aphasia. Med Sci Monit. 2011;17:CR132–9.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Sack AT, Cohen Kadosh R, Schuhmann T, Moerel M, Walsh V, Goebel R, et al. Optimizing functional accuracy of TMS in cognitive studies: a comparison of methods. J Cogn Neurosci. 2008;21:207–21.

    Article  Google Scholar 

  25. Fox MD, Liu H, Pascual-Leone A. Identification of reproducible individualized targets for treatment of depression with TMS based on intrinsic connectivity. Neuroimage. 2013;66:151–60.

    Article  PubMed  Google Scholar 

  26. Liu C-C, Kanekiyo T, Xu H, Bu G. Apolipoprotein E and Alzheimer disease: risk, mechanisms and therapy. Nat Rev Neurol. 2013;9:106–18.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  27. Peña-Gomez C, Solé-Padullés C, Clemente IC, Junqué C, Bargalló N, Bosch B, et al. APOE status modulates the changes in network connectivity induced by brain stimulation in non-demented elders. PLoS ONE. 2012;7(12):e51833.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  28. Boutron I, Moher D, Altman DG, Schulz KF, Ravaud P. Extending the CONSORT statement to randomized trials of nonpharmacologic treatment: explanation and elaboration. Ann Intern Med. 2008;148:295.

    Article  PubMed  Google Scholar 

  29. 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;12:189–98.

    Article  PubMed  CAS  Google Scholar 

  30. Reisberg B, Ferris SH, De Leon MJ, Crook T. The global deterioration scale for assessment of primary degenerative dementia. Am J Psychiatry. 1982;139:1136–9.

    Article  PubMed  CAS  Google Scholar 

  31. Blessed G, Tomlinson BE, Roth M. The association between quantitative measures of dementia and of senile change in the cerebral grey matter of elderly subjects. Br J Psychiatry. 1968;114:797–811.

    Article  PubMed  CAS  Google Scholar 

  32. Rosen WG, Terry RD, Fuld PA, Katzman R, Peck A. Pathological verification of ischemic score in differentiation of dementias. Ann Neurol. 1980;7:486–8.

    Article  PubMed  CAS  Google Scholar 

  33. Yesavage J, Brink T, Rose T, Lum O, Huang V, Adey M, et al. Development and validation of a geriatric depression screening scale: a preliminary report. J Psychiatr Res. 1983;17:37–49.

    Article  CAS  Google Scholar 

  34. Rossi S, Hallett M, Rossini PM, Pascual-Leone A. Safety, ethical considerations, and application guidelines for the use of transcranial magnetic stimulation in clinical practice and research. Clin Neurophysiol. 2009;120:2008–39.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Faul F, Buchner A, Erdfelder E, Lang L-G. G*power: statistical power analyses for windows and mac. 2014. http://www.gpower.hhu.de/.

  36. Faul F, Erdfelder E, Lang A-G, Buchner A. G*power: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39:175–91.

    Article  PubMed  Google Scholar 

  37. Woods B, Aguirre E, Spector AE, Orrell M. Cognitive stimulation to improve cognitive functioning in people with dementia. Cochrane Database Syst Rev. 2012;2:CD005562.

    Google Scholar 

  38. Roberts C. The implications of variation in outcome between health professionals for the design and analysis of randomized controlled trials. Stat Med. 1999;18:2605–15.

    Article  PubMed  CAS  Google Scholar 

  39. Alcalá-Lozano R, Morelos-Santana E, Cortés-Sotres JF, Garza-Villarreal EA, Sosa-Ortiz AL, González-Olvera JJ. Similar clinical improvement and maintenance after rTMS at 5 Hz using a simple vs. complex protocol in Alzheimer’s disease. Brain Stimul. 2018;11:625–7.

    Article  PubMed  Google Scholar 

  40. Fontaine D, Deudon A, Lemaire JJ, Razzouk M, Viau P, Darcourt J, et al. Symptomatic treatment of memory decline in Alzheimer’s disease by deep brain stimulation: a feasibility study. J Alzheimer’s Dis. 2013;34:315–23.

    Article  Google Scholar 

  41. Laxton AW, Tang-Wai DF, McAndrews MP, Zumsteg D, Wennberg R, Keren R, et al. A phase i trial of deep brain stimulation of memory circuits in Alzheimer’s disease. Ann Neurol. 2010;68:521–34.

    Article  PubMed  CAS  Google Scholar 

  42. Sankar T, Chakravarty MM, Bescos A, Lara M, Obuchi T, Laxton AW, et al. Deep brain stimulation influences brain structure in Alzheimer’s disease. Brain Stimul. 2015;8:645–54.

    Article  PubMed  Google Scholar 

  43. Wang JX, Rogers LM, Gross EZ, Ryals AJ, Dokucu ME, Brandstatt KL, et al. Targeted enhancement of cortical-hippocampal brain networks and associative memory. Science (80-). 2014;345:1054–7.

    Article  CAS  Google Scholar 

  44. Cotelli M, Calabria M, Manenti R, Rosini S, Maioli C, Zanetti O, et al. Brain stimulation improves associative memory in an individual with amnestic mild cognitive impairment. Neurocase. 2012;18:217–23.

    Article  PubMed  Google Scholar 

  45. Clare L, Woods RT. Cognitive training and cognitive rehabilitation for people with early-stage Alzheimer’s disease: a review. Neuropsychol Rehabil. 2004;14:385–401.

    Article  Google Scholar 

  46. Bottino CMC, Carvalho IAM, Alvarez AMMA, Avila R, Zukauskas PR, Bustamante SEZ, et al. Cognitive rehabilitation combined with drug treatment in Alzheimer’s disease patients: a pilot study. Clin Rehabil. 2005;19:861–9.

    Article  PubMed  Google Scholar 

  47. Martínez-Moreno M, Cerulla N, Chico G, Quintana M, Garolera M. Comparison of neuropsychological and functional outcomes in Alzheimer’s disease patients with good or bad response to a cognitive stimulation treatment: a retrospective analysis. Int Psychogeriatrics. 2016;28:1821–33.

    Article  Google Scholar 

  48. Wechsler D. WMS-IV. Escala de memoria de Wechsler-IV Manual técnico y de interpretación. Madrid: NCS Pearson, Inc; 2013.

    Google Scholar 

  49. Falleti MG, Maruff P, Collie A, Darby DG. Practice effects associated with the repeated assessment of cognitive function using the CogState battery at 10-minute, one week and one month test-retest intervals. J Clin Exp Neuropsychol. 2006;28:1095–112.

    Article  PubMed  Google Scholar 

  50. Maruff P, Thomas E, Cysique L, Brew B, Collie A, Snyder P, et al. Validity of the CogState brief battery: relationship to standardized tests and sensitivity to cognitive impairment in mild traumatic brain injury, schizophrenia, and AIDS dementia complex. Arch Clin Neuropsychol. 2009;24:165–78.

    Article  PubMed  Google Scholar 

  51. Wechsler D. WAIS-IV. Escala de inteligencia de Wechsler para adultos-IV. Manual técnico y de interpretación. Madrid: NCS Pearson Inc; 2012.

    Google Scholar 

  52. Sedó M. Test de los Cinco Dígitos. Madrid: TEA Ediciones; 2007.

    Google Scholar 

  53. Artiola L, Hermosillo D, Heaton R, Pardee RE. Manual de normas y procedimientos para la batería neuropsicológica en español. New York: Psychology Press; 1999.

    Google Scholar 

  54. De Renzi E, Vignolo LA. The token test: a sensitive test to detect receptive disturbances in aphasics. Brain. 1962;85:665–78.

    Article  Google Scholar 

  55. Casals-Coll M, Sánchez-Benavides G, Meza-Cavazos S, Manero RM, Aguilar M, Badenes D, et al. Spanish multicenter normative studies (NEURONORMA project): normative data and equivalence of four BNT short-form versions. Arch Clin Neuropsychol. 2014;29:60–74.

    Article  PubMed  Google Scholar 

  56. Rosen WG, Mohs RC, Davis KL. A new rating scale for Alzheimer’s disease. Am J Psychiatry. 1984;141:1356–64.

    Article  PubMed  CAS  Google Scholar 

  57. Pfeffer RI, Kurosaki TT, Harrah CH, Chance JM, Filos S. Measurement of functional activities in older adults in the community. J Gerontol. 1982;37:323–9.

    Article  PubMed  CAS  Google Scholar 

  58. Patterson TL, Goldman S, McKibbin CL, Hughs T, Jeste DV. UCSD Performance-Based Skills Assessment: development of a new measure of everyday functioning for severely mentally ill adults. Schizophr Bull. 2001;27:235–45.

    Article  PubMed  CAS  Google Scholar 

  59. Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67:361–70.

    Article  PubMed  CAS  Google Scholar 

  60. Gomar JJ, Ortiz-Gil J, McKenna PJ, Salvador R, Sans-Sansa B, Sarró S, et al. Validation of the word accentuation test (TAP) as a means of estimating premorbid IQ in Spanish speakers. Schizophr Res. 2011;128:175–6.

    Article  PubMed  Google Scholar 

  61. Rami L, Valls-Pedret C, Bartrés-Faz D, Caprile C, Solé-Padullés C, Castellvi M, et al. Cognitive reserve questionnaire. Scores obtained in a healthy elderly population and in one with Alzheimer’s disease. Rev Neurol. 2011;52:195–201.

    PubMed  Google Scholar 

  62. Lefaucheur J-P, André-Obadia N, Antal A, Ayache SS, Baeken C, Benninger DH, et al. Evidence-based guidelines on the therapeutic use of repetitive transcranial magnetic stimulation (rTMS). Clin Neurophysiol. 2014;125:1–57.

    Article  Google Scholar 

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Authors’ contributions

EMM, RVS, MQ and MG conceived the study and designed the clinical trial procedure. DRR and DR reviewed the protocol and made important scientific and clinical contributions to the study design. EMM drafted the manuscript assisted by RVS. Finally, MQ, MG, DRR and DR contributed to critically revise for important intellectual content of the manuscript. All authors agree to be accountable for all aspects of the work. All authors read and approved the final manuscript.

Acknowledgements

We would like to thank Nicholas Lumsden for his assistance in the proof-reading and English-language correction of the manuscript.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

Not applicable for the current article. Datasets generated and analysed during this trial will be publicly available in the institutional repository of the Universitat Oberta de Catalunya (UOC, http://openaccess.uoc.edu/webapps/o2/).

Consent to publish

Not applicable.

Ethics approval and consent to participate

The researchers agree to respect all the established current legislation regarding clinical research and data protection (WMA Declaration of Helsinki, 2004; Regulation (EU) 2016/679 on personal data protection; Law 41/2002 on patient autonomy). This project has also been approved by the Institutional Review Board (Comitè d’Ètica d’Investigació Clínica, CEIC) of the Consorci Sanitari de Terrassa (Reference Number: 01-16-107-026). All participants will give their written informed consent to participate in the study.

Funding

Currently this research does not have any funding.

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Authors and Affiliations

  1. Cognitive NeuroLab, Faculty of Health Sciences, Universitat Oberta de Catalunya (UOC), Rambla del Poblenou, 156, 08018, Barcelona, Spain

    Elena M. Marron, Raquel Viejo-Sobera & Diego Redolar-Ripoll

  2. Brain, Cognition and Behavior: Clinical Research, Consorci Sanitari de Terrassa, Carretera Torrebonica s/n, 08227, Terrassa, Spain

    María Quintana

  3. Sant Llàtzer Day Hospital for Cognitive Impairment, Consorci Sanitari de Terrassa, Plaça del Doctor Robert, 6, 08221, Terrassa, Spain

    Daniel Rodríguez

  4. Neuropsychology Unit, Brain, Cognition and Behavior: Clinical Research, Consorci Sanitari de Terrassa, Carretera Torrebonica s/n, 08227, Terrassa, Spain

    Maite Garolera

Authors
  1. Elena M. Marron
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  2. Raquel Viejo-Sobera
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  3. María Quintana
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  4. Diego Redolar-Ripoll
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  5. Daniel Rodríguez
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  6. Maite Garolera
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Corresponding author

Correspondence to Raquel Viejo-Sobera.

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Marron, E.M., Viejo-Sobera, R., Quintana, M. et al. Transcranial magnetic stimulation intervention in Alzheimer’s disease: a research proposal for a randomized controlled trial. BMC Res Notes 11, 648 (2018). https://doi.org/10.1186/s13104-018-3757-z

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  • DOI: https://doi.org/10.1186/s13104-018-3757-z

Keywords

  • Alzheimer’s disease
  • Functional connectivity
  • Dorsolateral prefrontal cortex
  • Non-invasive brain stimulation
  • Parietal cortex
  • Theta burst stimulation
  • Transcranial magnetic stimulation
  • TMS

BMC Research Notes

ISSN: 1756-0500

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