| Literature DB >> 35309584 |
Shereen J Matar1, Caroline Newton2, Isaac O Sorinola3, Marousa Pavlou1.
Abstract
Background: Difficulties in discourse production are common in post-stroke chronic aphasia. Previous studies have found that speech and language therapy combined with transcranial direct-current stimulation (tDCS) may improve language skills like naming and enhance aphasia treatment outcomes. However, very few studies have investigated the effect of tDCS when combined with interventions for improving higher level language skills such as the Verb Network Strengthening Treatment (VNeST). Aims: This study aimed to determine the feasibility of anodal tDCS as an adjunct to VNeST to improve discourse production in post-stroke chronic aphasia.Entities:
Keywords: aphasia; discourse; language; rehabilitation; stroke; transcranial direct current stimulation (tDCS); treatment
Year: 2022 PMID: 35309584 PMCID: PMC8924047 DOI: 10.3389/fneur.2022.722402
Source DB: PubMed Journal: Front Neurol ISSN: 1664-2295 Impact factor: 4.003
Figure 1CONSORT flowchart of participants.
Demographic and clinical details of participants in both groups.
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| P1 | A | M | 70–74 | School | 1 y, 4 m | Broca's | Moderate | 2 | 1 | 24 |
| P2 | A | F | 80–84 | University | 1 y, 8 m | Broca's | Moderate | 5 | 9 | 24 |
| P3 | A | F | 70–74 | University | 2 y | Anomic | Mild | 2 | 0 | 23 |
| P4 | S | M | 70–74 | School | 1 y, 5 m | Anomic | Mild | 4 | 3 | 23 |
| P5 | S | F | 60–64 | University | 1 y, 4 m | Anomic | Mild | 12 | 10 | 27 |
| P6 | S | F | 70–74 | School | 1 y, 1 m | Broca's | Moderate | 3 | 2 | 24 |
A, active tDCS; S, sham; M, male; F, female; HADS-A, Hospital Anxiety and Depression Scale-anxiety subscale; HADS-D, Hospital Anxiety and Depression Scale-Depression subscale; MOCA, The Montreal Cognitive Assessment. Severity of aphasia identified using Language Screening Test scores (.
Effect sizes comparing pre- to post-treatment and pre-treatment to follow-up change in mean scores between-groups on outcome measures.
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| Total words | −12.67 (42.10) | −35.00 (71.90) | 0.38 | −13.00 (47.15) | −46.00 (79.68) | 0.50 |
| Total utterances | 1.67 (1.53) | −4.33 (8.08) |
| 1.00 (0) | −6.33 (9.29) |
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| Verb token total | 4.33 (4.16) | −11.67 (24.54) |
| 0 (3.00) | −5.33 (10.69) | 0.68 |
| Verb type total | 7.00 (6.00) | −1.33 (6.66) |
| 4.67 (2.89) | −4.33 (6.81) |
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| VTTR | 0.08 (0.08) | 0.20 (0.24) | 0.67 | 0.07 (0.06) | −0.08 (0.04) |
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| PAS | 0.01 (0.11) | 0.08 (0.18) | 0.47 | −0.02 (0.30) | 0.09 (0.21) | −0.43 |
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| Total words | −2.33 (32.15) | −1.33 (15.95) | −0.04 | −20.33 (70.74) | −8.00 (9.54) | −0.24 |
| Total utterances | −1.33 (10.69) | −0.67 (4.04) | −0.08 | −1.00 (12.77) | 0 (3.61) | −0.11 |
| Verb token total | 9.00 (5.29) | −0.67 (6.43) |
| 0.67 (4.93) | −2.63 (4.73) | 0.68 |
| Verb type total | 3.00 (3.00) | −0.67 (3.79) |
| 1.00 (1.73) | −1.67 (2.89) |
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| VTTR | −0.23 (0.29) | −0.01 (0.10) | – | 0.03 (0.18) | 0.04 (0.07) | 0.07 |
| PAS | −0.01 (0.40) | −0.10 (0.35) | 0.24 | 0.06 (0.26) | −0.08 (0.46) | 0.38 |
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| Total words | 43.00 (52.74) | −14.67 (44.56) |
| 77.67 (115.54) | −19.67 (46.29) |
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| Total utterances | 7.00 (6.24) | −1.33 (4.16) |
| 11.67 (12.42) | −1.67 (3.51) |
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| Verb token total | 17.67 (7.09) | −9.33 (17.93) |
| 18.00 (23.52) | −8.67 (17.79) |
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| Verb type total | 11.00 (3.61) | −2.67 (8.96) |
| 13.00 (14.93) | −3.00 (8.54) |
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| VTTR | −0.13 (0.18) | 0.11 (0.06) | – | −0.20 (0.33) | 0.11 (0.23) | – |
| PAS | 0.02 (0.24) | 0.01 (0.08) | 0.06 | −0.16 (0.50) | −0.11 (0.08) | −0.14 |
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| CETI | 7.33 (2.89) | 3.33 (3.51) |
| 11.33 (2.65) | 0.33 (1.15) |
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| AIQ | 0 (5.00) | −2.00 (1.00) | 0.56 | NA | NA | |
| HADS-A | −0.67 (1.15) | 1.00 (1.73) | – | NA | NA | |
| HADS-D | 1.00 (1.73) | 1.00 (4.36) | 0 | NA | NA | |
| MOCA | 0.33 (0.58) | 0.33 (0.58) | 0 | NA | NA | |
Effect size: small effect = 0.2, medium effect = 0.5, large effect = 0.8; a decrease in AIQ score is a positive gain; Bold items indicate large effect; NA, Not Applicable.
Figure 2Pre- to post-treatment and pre-treatment to follow-up individual changes in verb retrieval measures: verb token total, verb type total, and verb type token ratio.
Figure 3Pre- to post-treatment and pre-treatment to follow-up individual changes in secondary discourse measures: word total, utterance total, and predicate argument structure.
Figure 4Pre- to post-treatment and pre-treatment to follow-up individual changes in functional communication (communicative effectiveness index; CETI). A higher CETI score indicates improvement in functional communication.
Figure 5Pre- to post-treatment individual changes in secondary outcomes: quality of life (Aphasia Impact Questionnaire; AIQ), psychological symptoms (Hospital Anxiety and Depression Scale; HADS), and cognition (Montreal Cognitive Assessment; MOCA). A higher score on the AIQ indicates a greater impact of aphasia on quality of life and on the HADS indicates more symptoms of anxiety/depression. For the MOCA, a higher score indicates improved cognitive ability.