Aphasia, Apraxia of Speech
Conditions
Brief summary
Speaking in unison with another person is included as a part of many treatment approaches for aphasia. It is not well understood why and how this technique works. One goal of this study is to determine who benefits from speaking in unison, and what characteristics of speech are most helpful. Another goal is to investigate a possible mechanism for this benefit: why does speaking in unison help? A possible mechanism for this benefit is examined, by testing whether the degree of alignment of a person's speech with that of another speaker can account for unison benefit.
Detailed description
Aphasia is an acquired language disorder, most commonly due to stroke. It can affect an individual's ability to speak, understand spoken language, read, and write. Many treatments designed to improve spoken language in persons with aphasia (PWAs) use unison speech, having the person with aphasia speak along with the clinician or with a recording. One goal of this study is to determine who benefits from speaking in unison, and what characteristics of speech help them the most. Another goal is to investigate a possible mechanism for this benefit: why does speaking in unison help? This knowledge is important because understanding who benefits from this commonly used and potentially powerful therapy component, under which conditions they benefit, and why they do, is critical for customizing therapy so it can be as effective and efficient as possible. Unison speech is conducted using one of two different timing patterns: (1) a natural conversational pattern, which is used in everyday conversations, or (2) a metrical pattern, which follows a beat-based timing framework, as in songs or some poems. In either case, precisely aligning one's speech with that of another person (i.e., entraining one's speech) requires prediction: each speaker must plan their own speech motor commands before having heard the other speaker say the words they are planning. Natural conversational timing requires the speaker to make use of knowledge about language, particularly grammar, to align with the other person. In contrast, a metrical pattern allows a speaker to predict speech timing without relying heavily on language-based knowledge. Given that many PWAs have impaired grammar, we hypothesize that most PWAs will benefit more from speaking in unison to sentences with metrical vs. conversational timing patterns. However, there is great variation in linguistic, motor speech, and timing skills across PWAs, so metrical and conversational timing patterns are likely to have different degrees of effectiveness for different individuals. Results from this study will demonstrate how individual characteristics and speech timing affect whether or not a person with aphasia benefits from speaking in unison. Results will also indicate whether a speaker's ability to predict speech timing is necessary for a benefit of unison speech. Prediction ability will be measured by how closely the speaker aligns their speech with a spoken model.
Interventions
Participants will repeat sentences in four conditions, in a 2x2 design with the factors unison vs. solo repetition, and metrical vs. conversational speech timing. Measures of speech accuracy and timing will be collected.
This is the secondary contrast in the 2x2 design described above.
Sponsors
Study design
Eligibility
Inclusion criteria
* Native-speaker fluency in American English (prior to stroke for people with aphasia) * Controls must report no history of speech, language, neurological disorders, or stroke * People with aphasia must be at least 6-months post-stroke, and aphasia must be due to stroke
Exclusion criteria
* Inadequate hearing ability to reliably complete task: fail hearing screen * Inadequate cognitive ability to understand and remember task: fail cognition screening (different measures for controls and people with aphasia) * Inadequate speech repetition ability to complete task, or to be considered a control: fail speech repetition screening (different thresholds for controls and people with aphasia) * Inadequate auditory comprehension ability to understand task: fail auditory comprehension screen (people with aphasia only)
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Percent Syllables Correct | 1 day study visit | The percentage of syllables correctly repeated from the target sentences will be computed for each contrast, Unison vs. Solo and Metrical vs. Conversational, capturing all 4 conditions in the 2x2 design (Unison Metrical, Unison Conversational, Solo Metrical, Solo Conversational). A protocol will be used to score syllables for correctness. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Mean Syllable Offset From Model | 1 day study visit | Of the syllables attempted by the participant, the mean offset from the corresponding target syllable in the model is computed for each syllable for each participant using the formula (p - d) - s, where p is the timing of voicing onset in the participant response, d is the timing of voicing onset in the model, and s is the line delay in the audio equipment. Means are computed for each participant and each condition. Note this measure can only be computed in the Unison conditions (Unison Metrical and Unison Conversational), since the Solo conditions do not have a simultaneous spoken model to which the participant is trying to align their speech. |
Countries
United States
Participant flow
Participants by arm
| Arm | Count |
|---|---|
| People With Aphasia Adults with stroke-based aphasia | 23 |
| Controls Adults without a history of speech, language, or neurological disorder, or stroke | 52 |
| Total | 75 |
Withdrawals & dropouts
| Period | Reason | FG000 | FG001 |
|---|---|---|---|
| Overall Study | Data loss: audio recording error | 1 | 1 |
| Overall Study | found ineligible | 4 | 1 |
| Overall Study | Withdrawal by Subject | 0 | 1 |
Baseline characteristics
| Characteristic | People With Aphasia | Controls | Total |
|---|---|---|---|
| Age, Continuous | 59.0 years STANDARD_DEVIATION 7.6 | 42.4 years STANDARD_DEVIATION 18.4 | 47.5 years STANDARD_DEVIATION 17.7 |
| Hearing Screen | 22 Participants | 52 Participants | 74 Participants |
| Race/Ethnicity, Customized Asian, ethnicity unknown | 0 Participants | 0 Participants | 0 Participants |
| Race/Ethnicity, Customized Asian, Hispanic | 0 Participants | 1 Participants | 1 Participants |
| Race/Ethnicity, Customized Asian, not Hispanic | 0 Participants | 6 Participants | 6 Participants |
| Race/Ethnicity, Customized Black, Hispanic | 0 Participants | 0 Participants | 0 Participants |
| Race/Ethnicity, Customized Black, not Hispanic | 3 Participants | 5 Participants | 8 Participants |
| Race/Ethnicity, Customized Black, unknown ethnicity | 0 Participants | 0 Participants | 0 Participants |
| Race/Ethnicity, Customized race not specified, ethnicity unknown | 0 Participants | 1 Participants | 1 Participants |
| Race/Ethnicity, Customized White, Hispanic | 0 Participants | 1 Participants | 1 Participants |
| Race/Ethnicity, Customized White, not Hispanic | 20 Participants | 36 Participants | 56 Participants |
| Race/Ethnicity, Customized White, unknown ethnicity | 0 Participants | 2 Participants | 2 Participants |
| Sex: Female, Male Female | 9 Participants | 31 Participants | 40 Participants |
| Sex: Female, Male Male | 14 Participants | 21 Participants | 35 Participants |
Adverse events
| Event type | EG000 affected / at risk |
|---|---|
| deaths Total, all-cause mortality | 0 / 75 |
| other Total, other adverse events | 0 / 75 |
| serious Total, serious adverse events | 0 / 75 |
Outcome results
Percent Syllables Correct
The percentage of syllables correctly repeated from the target sentences will be computed for each contrast, Unison vs. Solo and Metrical vs. Conversational, capturing all 4 conditions in the 2x2 design (Unison Metrical, Unison Conversational, Solo Metrical, Solo Conversational). A protocol will be used to score syllables for correctness.
Time frame: 1 day study visit
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Controls | Percent Syllables Correct | Unison | 99.22 percentage | Standard Deviation 1.08 |
| Controls | Percent Syllables Correct | Solo | 99.46 percentage | Standard Deviation 1.18 |
| Controls | Percent Syllables Correct | Metrical | 99.65 percentage | Standard Deviation 0.67 |
| Controls | Percent Syllables Correct | Conversational | 99.03 percentage | Standard Deviation 1.39 |
| People With Aphasia | Percent Syllables Correct | Conversational | 56.50 percentage | Standard Deviation 28.98 |
| People With Aphasia | Percent Syllables Correct | Unison | 64.26 percentage | Standard Deviation 23.13 |
| People With Aphasia | Percent Syllables Correct | Metrical | 60.47 percentage | Standard Deviation 29.68 |
| People With Aphasia | Percent Syllables Correct | Solo | 52.71 percentage | Standard Deviation 33.57 |
Mean Syllable Offset From Model
Of the syllables attempted by the participant, the mean offset from the corresponding target syllable in the model is computed for each syllable for each participant using the formula (p - d) - s, where p is the timing of voicing onset in the participant response, d is the timing of voicing onset in the model, and s is the line delay in the audio equipment. Means are computed for each participant and each condition. Note this measure can only be computed in the Unison conditions (Unison Metrical and Unison Conversational), since the Solo conditions do not have a simultaneous spoken model to which the participant is trying to align their speech.
Time frame: 1 day study visit
Population: Acoustic data were inadequate for 1 participant with aphasia (could not be reliably labeled due to vocal quality, resulting in too few data points for analysis for this participant).
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Controls | Mean Syllable Offset From Model | Metrical | -.016 seconds | Standard Deviation 0.028 |
| Controls | Mean Syllable Offset From Model | Conversational | 0.006 seconds | Standard Deviation 0.04 |
| People With Aphasia | Mean Syllable Offset From Model | Metrical | 0.030 seconds | Standard Deviation 0.052 |
| People With Aphasia | Mean Syllable Offset From Model | Conversational | 0.154 seconds | Standard Deviation 0.188 |