Effects of music therapy accompanied by transcranial direct current stimulation on the recovery from aphasia following stroke: A single‑center retrospective cohort study
- Authors:
- Published online on: November 16, 2022 https://doi.org/10.3892/wasj.2022.177
- Article Number: 42
-
Copyright: © Aravantinou-Fatorou et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
Aphasia is the inability to reproduce or understand speech and occurs in 21-38% of patients immediately following a stroke (1-4). Furthermore, when considering recovery in the first weeks following a stroke, chronic deficits persist in ~20% of patients 6 months later (5,6). Therefore, speech and language therapy (SLAT) remains the ideal treatment option for patients with chronic aphasia (7). However, whether intensive speech therapy is useful or not remains controversial (8,9).
Non-invasive brain stimulation methods, such as transcranial direct current stimulation (tDCS), have exhibited clinical benefits in improving the efficacy of regular SLAT in aphasia rehabilitation conditions (10). However, there are some technical limitations to these possible benefits of tDCS in different clinical trials, such as the lack of randomization and the small size of the samples (10-17).
Clinical studies have gradually used an alternative treatment of experimental/traditional music during exercise to manage post-stroke rehabilitation, with positive outcomes for patients (18,19). In addition, music during exercise increases desire, decreases cognition during exercise (20), and alleviates feelings of fatigue (21). Nevertheless, data on the mechanisms through which the renewal environment following a stroke affects brain plasticity are limited. Music therapy, on the other hand, is difficult to judge and predict in terms of its importance (22).
Therefore, the present study systematically investigated the effects of tDCS and traditional/experiential music therapy (MT) on the recovery of patients with aphasia following a stroke who were attending a regular stroke rehabilitation program.
Patients and methods
Study design
The present retrospective cohort study investigated the clinical effectiveness of tDCS in combination with MT for improving aphasia following a stroke. All participants had suffered a single stroke diagnosed by computed tomography perfusion (CTP). In the present 5-year follow-up cohort study (from February, 2015 to February, 2020), 98 patients, with a mean age of 68.4±5 years (55 males, 56.1%), who met the requirements, were divided into three groups as follows: Group A, no MT or tDCS (only standard treatment); group B, daily MT; group C, combined treatment with daily MT and tDCS at a 1:1.21:1.28 ratio for the three groups, respectively. The study was conducted at the University Hospital of Larissa, Greece and was based on anonymized hospital records. The Institutional Review Board (IRB) of the University of Larisa, Greece/The School of Medicine/School of Health Sciences approved the study (IRB no. 2492/19-01-2015, finalized by the 9th General Assembly on 28/01/2015).
Furthermore, all the patients received the usual care for a stroke, including medical care and rehabilitation. All patients who suffered a cerebrovascular accident (CVA) underwent neuropsychological assessment (including questionnaires and cognitive tests) and a mini-mental test (mMT) to assess cognitive deficits at baseline, during admission and at 6 months following the CVA. CTP was performed at 3 to 6 days (control) and at 6 months, and CTP scores [cerebral blood flow (CBF)] were assessed. The Barthel Index (BI) was used to assess impairment in daily living activities. All cases were screened and assessed for language ability before taking the Aachen Aphasia Test (AAT). Speech presentation was assessed using four subscales: Repetition, Token test, naming and comprehension. Writing (due to hemiparesis) and spontaneous speech (as construct validity was not sufficient) were not included as AAT subscales. Normally distributed t-scores were the AAT scores averaged over the subscales. Patients were scored three points for correctly naming target words; two points for correctly or incorrectly pronouncing target words on the second try, but with syntactically correct or phonologically related expressions; and one point for any other expressions or omissions. The average total score was expressed as a t-score based on these scores. In a repeated measures design, language testing was performed 1 day before (T0) and at 6 months after tDCS +/or MT (T1). All reported alterations in language performance were described using the interval between two test phases of the AAT [Δ (Τ1-T0)] (Table I).
The severity of aphasia was categorized into subgroups, as presented in Table II (conduction aphasia: Good repetition of words/phrases; difficulty in word-finding; use of generic word fillers (e.g., ‘thing’) or circumlocutions; Broca's aphasia: High ability to repeat; possible difficulty responding to questions spontaneously; Wernicke's aphasia: capability of repeating words or phrases; repeats questions instead of providing answers (echolalia); substantial disability in both expressive and receptive language; can interact by gestures, intonation, and facial expressions).
Inclusion and exclusion criteria
The inclusion criteria were as follows: Patients with a first clinical onset of stroke 6 months prior; ab age between 18-75 years; a BI score ≥50 (possible score of 100) (23); modified Ashworth scale of ≤II; Greek-speaking; patients who were previously right-handed in all daily activities and were not forced to switch hands as children.
The exclusion criteria were the following: An inability to participate in an entire testing session; pre-stroke illiteracy; neuropsychological sequelae of brain injury likely to impair test performance (e.g., severe memory or visual perceptual impairment); no patients were diagnosed with other psychiatric or neurological disorders or depression. Additionally, all patients were native Greek speakers. The medical records of each patient were used to determine any issues with their central nervous system.
Procedures. MT
The patients in the exercise groups took part in a music-based exercise program for 6 months. There were four 45-min sessions per week. Patients in group C were subjected to a combined treatment (tDCS 20 min/MT 20 min) for 40 min daily. Patients were instructed to sit near a table and place their upper limbs on it. The primary instructor used simple and precise instructions in a verbal form in combination with continuous visuals. The number of medical students was the same as the number of patients. This made it possible to provide each patient with the assistance and care they needed on a one-to-one basis. In order to pique the interest and promote the involvement of the older patients, experiential/traditional music that was popular when they were young and was thus maintained in their minds for a long period of time was selected.
The study session began with 5-min warm-up exercises involving breathing and flexibility. The main part of the session consisted of moderately difficult exercises to strengthen the upper and lower limbs, as well as exercises to improve coordination and balance, while sitting or standing. Finally, during a 5- to 10-min cool-down period, the subjects moved slowly in a circle, while holding their hands and listening to music.
tDCS. The tDCS procedure was performed after the MT session for each patient. The neuroConn DC stimulator PLUS class II (neuroCare Group GmbH) was used, and two electrodes measuring 7x5 cm were placed and fixed on the head. The most common electrode configuration was used, i.e., anodal tDCS over the left inferior frontal gyrus (IFG) localized as F5, compared to sham tDCS. The cathode was placed in the contralateral supraorbital area localized as Fp2.
During each intervention, anodal tDCS was applied over the left IFG (1 mA for 20 min; experimental condition), or sham tDCS was applied over the same region (control condition) in the combined therapy group (group C).
In the sham tDCS condition, stimulation commenced with a 15-sec fade-in, just like in the experimental condition, but stimulation was turned off for the control group. In addition, both the patient and therapist were blinded to the stimulation condition.
CTP. Two radiologists performed the DTP. CTP parameters, i.e., CBF and cerebral blood volume (CBV) values were recorded and assessed using two consecutive 10-mm slices focused at the region of the basal ganglia and with the identical angulation as the native CT. A power injector administered a bolus dose of 50 ml non-ionic contrast medium (Imeron 400, Bracco Imaging Deutschland GmbH) through a central venous line at a flow rate of 4 ml/sec, followed by the administration of 30 ml of saline. A set of 40 images were collected at each slice level at a rate of two frames per second, 4 sec after intravenous contrast was administered (120 kV, 110 mAs, matrix 512x512). These values were measured utilizing post-processing software (Perfusion CT, Siemens), and the CTP color maps were evaluated for their quality using a visual rating scale. A positive visual score was recorded for side-to-side asymmetries or evident bilateral defects, demonstrating a reduction in CBF, CBV and the mean transit time (MTT), which were related to the central volume principle: CBF=CBV/MTT (24). CBV was calculated in milliliters of blood per 100 g of brain tissue and determined as the volume of inbound blood for a specific brain volume (25).
Outcome measures. Primary endpoints
AAT Δ(T1-T0): The intermediate period between two phases of the AAT study. Patients were assessed 1 day before (AAT0) and 6 months after therapy (AAT1). As shown in Table II, rehabilitation was defined as the improvement of aphasia in the subgroups.
Secondary outcomes. The mean values [mean=(V1 + V0)/2] of i) CBF mean [mean CBF=(V1-CBF + V0-CBF)/2] from CTP conducted 3-6 days (V0-CBF) and 6 months after admission (V1-CBF); ii) mMT mean [mean mMT=(V1-mMT + V0-mMT)/2] were used to assess cognitive deficits. BI mean [mean BI=(V1-BI + V0-BI)/2] was used to measure performance in activities of daily living; first as a pre-screening test at admission to the rehabilitation center (baseline) (V0-mMT) (V0-BI), and 6 months after the CVA (V1-mMT) (V1-BI).
Statistical analysis
Data are expressed as the mean ± SD. Data were examined for regularity using the Shapiro-Wilk test and analyzed using one-way ANOVA. Categorical data were analyzed using the Chi-squared test or Fisher's exact test. The Bonferroni test was used following one-way ANOVA. A multivariable analysis model was used to assess variables significantly associated with the univariate analysis. A P-value <0.05 was considered to indicate a statistically significant difference. The discriminative ability of significant variables was evaluated using the area under the receiver operating characteristic curve (ROC). Statistical analyses were executed using Statistical Product and Service Solutions software, version 15 (SPSS Inc.).
Results
Baseline data
A total of 98 patients were enrolled in the present study, and their baseline data are presented in Table III. Statistically significant differences between groups were found for AAT Δ(T1-T0) mean (P<0.05) (Table I), CBF mean in affected areas (P=0.007), mMT mean (P<0.05) and BI mean (P=0.002) (Table III).
Wernicke's, Broca's and global aphasias were the only statistically significant aphasia types for recovery (P=0.001; Table IV). The overall recovery rate was 63.2% (62 of 98 patients). A higher recovery rate was documented in group C (32.6%) compared with groups B (24.4%) and A (6.1%), and the difference was statistically significant (P=0.001; Table V).
Univariate analysis
Univariate analysis demonstrated that the mMT mean, BI mean, Wernicke's, Broca's and global aphasia groups were associated with recovery (P=0.001, 0.027, 0.001, 0.001 and 0.001, respectively; Table V).
Multivariate analysis
Multivariate analysis revealed that only the parameters, BI mean (OR, 0.013; 95% CI, 0.002-0.024; P=0.022), groups (OR, 0.304; 95% CI, 0.232-0.376; P<0.05), and Wernicke's (OR, -0.407; 95% CI, -0.621 to -0.192; P<0.05), Broca's (OR, -0.814; 95% CI (-1.010 to -0.618; P<0.05) and global aphasia (OR, -0.885; 95% CI, -1.157 to -0.614; P<0.05) were independent predictors of improvement (Table VI).
ROC analysis
Following ROC analysis, AAT Δ(T1-T0)/recovery was the most accurate measure for discriminating recovery with a standard error of area under the curve [AUC (SE)] of 0.807 (0.047), P<0.05, while an AAT Δ(T1-T0)/recovery value of >7.7 exhibited a sensitivity of 90% and a specificity of 89% for recovery (Fig. 1 and Table VII).
In addition, a mMT mean/recovery value >23.5 exhibited a sensitivity of 91.9% and a specificity of 67% for recovery with an AUC (SE) of 0.707 (0.055) P=0.001 (Fig. 2 and Table VII).
Discussion
The present retrospective cohort study on patients with post-stroke aphasia found that when MT and tDCS were added to the exercise rehabilitation program, the patients in group C (32.6%) recovered to a greater extent than those in groups B (24.4%) and A (6.1%). In addition, the AAT (T1-T0) mean was one of the most important independent predictors of the recovery of patients with CVA who completed a post-stroke rehabilitation program accompanied by MT and tDCS (group C), and an AAT Δ(T1-T0) mean >7.7 had better dispersion in predicting recovery. Moreover, according to the results, patients with a mMT mean >23.5 could also expect clinical recovery. Furthermore, the BI mean could also predict recovery in patients post-stroke.
It is generally accepted that music activates various neural networks in brain structures important for emotions, cognition and motor functions (19,26,27). In a number of studies on tDCS in the chronic phase, the use of electrode configuration (anodal tDCS over the left IFG compared to sham tDCS) was most commonly used in conjunction with disorder-oriented aphasia treatment (28-31). It appears to enhance the rate of language improvement (32).
It has been suggested that tDCS improves learning via long-lasting synergism, i.e., long-term synaptic plasticity (29). However, the debate on the effect of tDCS on recovery from aphasia is still ongoing (33). The present study found that the recovery rate was higher when the rehabilitation program was conducted with MT and tDCS using one electrode configuration. Although the present study demonstrated positive (albeit minor) effects, the influence of different parameters is currently unknown. Parameters, such as the type of aphasia or the size/location of the lesion probably play a significant role in the response to tDCS treatment.
The AAT is a reliable test for detecting aphasia. It can categorize aphasia into four subgroups, also assessing the speakers' language performance to provide more accurate information about the severity of the disorder (34). In the present study, the AAT Δ(T1-T0) mean was one of the most important independent predictors of improvement in patients with CVA who participated in a post-stroke rehabilitation program accompanied by MT and tDCS. Indeed, a change in AAT >7.7 at T0=0 and T1=6 months predicted clinical improvement with 90% sensitivity and 89% specificity.
In clinical practice, it is helpful to predict recovery in patients who have suffered a stroke. However, as predictive factors are variable, it is complex to assess the prediction of improvement in aphasia (35). The most accurate components are the severity of aphasia, lesion size and location (35). In the present study, the mean mMT score was one of the main factors for improvement, and patients with a score >23.5 can expect clinical improvement.
tDCS is a procedure that can alter brain functions temporarily (36). Furthermore, there is evidence to indicate that other brain regions (e.g., the non-damaged right hemisphere) can also promote speech recovery after stroke (36). However, it is unclear whether different stimulation sites affect specific parts of language function differently (37). Previous studies on healthy participants have demonstrated significant and long-term gains in cognitive and motor learning that were maintained for up to 12 months, and indicated that the effects of tDCS during the follow-up period may be more robust in older participants than in younger ones (38,39). In the present study, the long-term effects of tDCS were maintained for up to 12 months due to the advanced age of the patients.
The present study has some limitations. First, the intervention duration was relatively brief. However, the intensity and treatment duration used were consistent with studies (37-39) that have demonstrated an effect of tDCS in chronic aphasia following a stroke. Secondly, the present study was a single-center study. For this reason, the positive effect of MT and tDCS on recovery from aphasia following stroke cannot be generally assumed. However, the results presented herein may serve as a basis for future, more comprehensive clinical studies.
In conclusion, the present study aimed to elucidate the synergistic effects of an exercise rehabilitation program, an enriched acoustic environment, and tDCS leading to better recovery from aphasia following a stroke. Although the present study revealed positive (albeit minor) effects, the impact of different parameters, such as the size/location of the lesion or the type of aphasia, is likely to play a significant role in the response to MT and the tDCS treatment. These encouraging results also suggest that more non-invasive treatments for aphasia following a stroke need to be tested in large, multicenter, double-blind, randomized control trials.
Acknowledgements
Not applicable.
Funding
Funding: No funding was received.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Authors' contributions
GF, AAF and VEG conceptualized the study. VEG, AAF, SC, PP, PS, NT, NM and KT made a substantial contribution to data interpretation and analysis, and wrote and prepared the draft of the manuscript. DAS, VEG and GF analyzed the data and provided critical revisions. VEG and GF confirm the authenticity of all the data. All authors contributed to manuscript revision and have read and approved the final version of the manuscript.
Ethics approval and consent to participate
The Institutional Review Board (IRB) of University of Thessaly, Greece/The School of Medicine/School of Health Sciences approved the study (IRB no. 2492/19-01-2015, finalized by the 9th General Assembly on 28/01/2015). The study was in line with the Declaration of Helsinki (1995; as revised in Edinburgh 2000). Due to the retrospective design of the study, a waiver for informed consent was granted by the Institutional Review Board.
Patient consent for publication
Not applicable.
Competing interests
DAS is the Managing Editor of the journal, but had no personal involvement in the reviewing process, or any influence in terms of adjudicating on the final decision, for this article.
References
Inatomi Y, Yonehara T, Omiya S, Hashimoto Y, Hirano T and Uchino M: Aphasia during the acute phase in ischemic stroke. Cerebrovasc Dis. 25:316–323. 2008.PubMed/NCBI View Article : Google Scholar | |
Lackland DT, Roccella EJ, Deutsch AF, Fornage M, George MG, Howard G, Kissela BM, Kittner SJ, Lichtman JH, Lisabeth LD, et al: Factors influencing the decline in stroke mortality: A statement from the American heart association/American stroke association. Strok. 45:315–353. 2014.PubMed/NCBI View Article : Google Scholar | |
Lindsay MP, Norrving B, Sacco RL, Brainin M, Hacke W, Martins S, Pandian J and Feigin V: World stroke organization (WSO): Global stroke fact sheet 2019. Int J Stroke. 14:806–817. 2019.PubMed/NCBI View Article : Google Scholar | |
Murray CJ, Vos T, Lozano R, Naghavi M, Flaxman AD, Michaud C, Ezzati M, Shibuya K, Salomon JA, Abdalla S, et al: Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: A systematic analysis for the global burden of disease study 2010. Lancet. 380:2197–223. 2012.PubMed/NCBI View Article : Google Scholar | |
El Hachioui H, Lingsma HF, van de Sandt-Koenderman ME, Dippel DW, Koudstaal PJ and Visch-Brink EG: Recovery of aphasia after stroke: A 1-year follow-up study. J Neurol. 260:166–171. 2013.PubMed/NCBI View Article : Google Scholar | |
Maas MB, Lev MH, Ay H, Singhal AB, Greer DM, Smith WS, Harris GJ, Halpern EF, Koroshetz WJ and Furie KL: The prognosis for aphasia in stroke. J Stroke Cerebrovasc Dis. 21:350–357. 2012.PubMed/NCBI View Article : Google Scholar | |
Doogan C, Dignam J, Copland D and Leff A: Aphasia recovery: When, how and who to treat? Curr Neurol Neurosci Rep. 18(90)2018.PubMed/NCBI View Article : Google Scholar | |
Brady MC, Kelly H, Godwin J, Enderby P and Campbell P: Speech and language therapy for aphasia following stroke. Cochrane Database Syst Rev. 2016(CD000425)2016.PubMed/NCBI View Article : Google Scholar | |
Stahl B, Mohr B, Büscher V, Dreyer FR, Lucchese G and Pulvermüller F: Efficacy of intensive aphasia therapy in patients with chronic stroke: A randomised controlled trial. J Neurol Neurosurg Psychiatry. 89:586–592. 2018.PubMed/NCBI View Article : Google Scholar | |
Monti A, Ferrucci R, Fumagalli M, Mameli F, Cogiamanian F, Ardolino G and Priori A: Transcranial direct current stimulation (tDCS) and language. J Neurol Neurosurg Psychiatry. 84:832–842. 2013.PubMed/NCBI View Article : Google Scholar | |
Baker JM, Rorden C and Fridriksson J: Using transcranial direct-current stimulation to treat stroke patients with aphasia. Stroke. 41:1229–1236. 2010.PubMed/NCBI View Article : Google Scholar | |
Flöel A, Meinzer M, Kirstein R, Nijhof S, Deppe M, Knecht S and Breitenstein C: Short-term anomia training and electrical brain stimulation. Stroke. 42:2065–2067. 2011.PubMed/NCBI View Article : Google Scholar | |
Fridriksson J, Richardson JD, Baker JM and Rorden C: Transcranial direct current stimulation improves naming reaction time in fluent aphasia: A double-blind, sham-controlled study. Stroke. 42:819–821. 2011.PubMed/NCBI View Article : Google Scholar | |
Kang EK, Kim YK, Sohn HM, Cohen LG and Paik NJ: Improved picture naming in aphasia patients treated with cathodal tDCS to inhibit the right Broca's homologue area. Restor Neurol Neurosci. 29:141–152. 2011.PubMed/NCBI View Article : Google Scholar | |
Marangolo P, Fiori V, Calpagnano MA, Campana S, Razzano C, Caltagirone C and Marini A: tDCS over the left inferior frontal cortex improves speech production in aphasia. Front Hum Neurosci. 7(539)2013.PubMed/NCBI View Article : Google Scholar | |
Marangolo P, Fiori V, Campana S, Calpagnano MA, Razzano C, Caltagirone C and Marini A: Something to talk about: Enhancement of linguistic cohesion through tdCS in chronic non fluent aphasia. Neuropsychologia. 53:246–256. 2014.PubMed/NCBI View Article : Google Scholar | |
Monti A, Cogiamanian F, Marceglia S, Ferrucci R, Mameli F, Mrakic-Sposta S, Vergari M, Zago S and Priori A: Improved naming after transcranial direct current stimulation in aphasia. J Neurol Neurosurg Psychiatry. 79:451–453. 2008.PubMed/NCBI View Article : Google Scholar | |
Aravantinou-Fatorou K and Fotakopoulos G: Efficacy of exercise rehabilitation program accompanied by experiential music for recovery of aphasia in single cerebrovascular accidents: A randomized controlled trial. Ir J Med Sci. 190:771–778. 2021.PubMed/NCBI View Article : Google Scholar | |
Fotakopoulos G and Kotlia P: The value of exercise rehabilitation program accompanied by experiential music for recovery of cognitive and motor skills in stroke patients. J Stroke Cerebrovasc Dis. 27:2932–2939. 2018.PubMed/NCBI View Article : Google Scholar | |
Terry PC, Karageorghis CI, Curran ML, Martin OV and Parsons-Smith RL: Effects of music in exercise and sport: A meta-analytic review. Psychol Bull. 146:91–117. 2020.PubMed/NCBI View Article : Google Scholar | |
Terry PC and Karageorghis CI: Psychophysical effects of music in sport and exercise: An updated theory, research, and application. In: Katsikitis M (ed). Psychology bridging the Tasman: Science, culture, and practice. Proceedings of the 2006 Joint Conference of the Australian Psychology Society and the New Zealand Psychological Society. Melboume, VIC. Australian Psychological Society, pp415-419, 2006. https://www.piuvivi.com/docs/effetti-musica-sulla-psiche.pdf. | |
Särkämö T, Ripollés P, Vepsäläinen H, Autti T, Silvennoinen HM, Salli E, Laitinen S, Forsblom A, Soinila S and Rodríguez-Fornells A: Structural changes induced by daily music listening in the recovering brain after middle cerebral artery stroke: A voxel-based morphometry study. Front Hum Neurosci. 8(245)2014.PubMed/NCBI View Article : Google Scholar | |
Sihvonen AJ, Särkämö T, Leo V, Tervaniemi M, Altenmüller E and Soinila S: Music-based interventions in neurological rehabilitation. Lancet Neurol. 16:648–660. 2017.PubMed/NCBI View Article : Google Scholar | |
Ripollés P, Rojo N, Grau-Sánchez J, Amengual JL, Càmara E, Marco-Pallarés J, Juncadella M, Vaquero L, Rubio F, Duarte E, et al: Music supported therapy promotes motor plasticity in individuals with chronic stroke. Brain Imaging Behav. 10:1289–1307. 2016.PubMed/NCBI View Article : Google Scholar | |
Salimpoor VN, Benovoy M, Larcher K, Dagher A and Zatorre RJ: Anatomically distinct dopamine release during anticipation and experience of peak emotion to music. Nat Neurosci. 14:257–262. 2011.PubMed/NCBI View Article : Google Scholar | |
Särkämö T and Soto D: Music listening after stroke: Beneficial effects and potential neural mechanisms. Ann N Y Acad Sci. 1252:266–281. 2012.PubMed/NCBI View Article : Google Scholar | |
Sihvonen AJ, Leo V, Ripollés P, Lehtovaara T, Ylönen A, Rajanaro P, Laitinen S, Forsblom A, Saunavaara J, Autti T, et al: Vocal music enhances memory and language recovery after stroke: Pooled results from two RCTs. Ann Clin Transl Neurol. 7:2272–2287. 2020.PubMed/NCBI View Article : Google Scholar | |
Elsner B, Kugler J, Pohl M and Mehrholz J: Transcranial direct current stimulation (tDCS) for improving aphasia in patients with aphasia after stroke. Cochrane Database Syst Rev. (CD009760)2015.PubMed/NCBI View Article : Google Scholar | |
Fritsch B, Reis J, Martinowich K, Schambra HM, Ji Y, Cohen LG and Lu B: Direct current stimulation promotes BDNF-dependent synaptic plasticity: Potential implications for motor learning. Neuron. 66:198–204. 2010.PubMed/NCBI View Article : Google Scholar | |
Polanowska KE, Leśniak MM, Seniów JB, Czepiel W and Członkowska A: Anodal transcranial direct current stimulation in early rehabilitation of patients with post-stroke non-fluent aphasia: A randomized, double-blind, sham-controlled pilot study. Restor Neurol Neurosci. 31:761–771. 2013.PubMed/NCBI View Article : Google Scholar | |
Poreisz C, Boros K, Antal A and Paulus W: Safety aspects of transcranial direct current stimulation concerning healthy subjects and patients. Brain Res Bull. 72:208–214. 2007.PubMed/NCBI View Article : Google Scholar | |
Spielmann K, van de Sandt-Koenderman WM, Heijenbrok-Kal MH and Ribbers GM: Transcranial direct current stimulation in post-stroke sub-acute aphasia: Study protocol for a randomized controlled trial. Trials. 17(380)2016.PubMed/NCBI View Article : Google Scholar | |
Spielmann K, van de Sandt-Koenderman WME, Heijenbrok-Kal MH and Ribbers GM: Transcranial direct current stimulation does not improve language outcome in subacute poststroke aphasia. Stroke. 49:1018–1020. 2018.PubMed/NCBI View Article : Google Scholar | |
Miller N, Willmes K and De Bleser R: The psychometric properties of the English language version of the Aachen aphasia test (EAAT). Aphasiology. 14:683–722. 2000. | |
Plowman E, Hentz B and Ellis C Jr: Post-stroke aphasia prognosis: A review of patient-related and stroke-related factors. J Eval Clin Pract. 18:689–694. 2012.PubMed/NCBI View Article : Google Scholar | |
Branscheidt M, Hoppe J, Zwitserlood P and Liuzzi G: tDCS over the motor cortex improves lexical retrieval of action words in poststroke aphasia. J Neurophysiol. 119:621–630. 2018.PubMed/NCBI View Article : Google Scholar | |
Hamilton RH, Chrysikou EG and Coslett B: Mechanisms of aphasia recovery after stroke and the role of noninvasive brain stimulation. Brain Lang. 118:40–50. 2011.PubMed/NCBI View Article : Google Scholar | |
Dockery CA, Hueckel-Weng R, Birbaumer N and Plewnia C: Enhancement of planning ability by transcranial direct current stimulation. J Neurosci. 29:7271–7277. 2009.PubMed/NCBI View Article : Google Scholar | |
Meinzer M, Darkow R, Lindenberg R and Flöel A: Electrical stimulation of the motor cortex enhances treatment outcome in post-stroke aphasia. Brain. 139:1152–1163. 2016.PubMed/NCBI View Article : Google Scholar |