Trial Outcomes & Findings for Determining Learning Ability in People With Aphasia (NCT NCT05119023)
NCT ID: NCT05119023
Last Updated: 2025-03-10
Results Overview
For the SRT observational learning task, responses are made via eye gaze into a visual area of interest (AOI). Reaction times (RTs) are recorded as the time between target onset and gaze fixation within the target AOI. A trial is considered incorrect if an eye fixation was made that does not correspond to the target AOI. RTs for correct trials are examined. Outlier RTs three standard deviations above the mean RT of each block are removed. A score of learning is computed by comparing RTs on the last (7th) sequenced block of trials with RTs on the following (8th) pseudorandomized block (Schwarb \& Schumacher, 2012). A Cohen's d effect size (ES) of observational learning is calculated for each individual participant that compares mean RTs on the final sequenced block (S7) and the pseudorandom block (PS8) using pooled standard deviations. Mean Cohen's d is reported. Negative values indicate better learning.
COMPLETED
NA
18 participants
Study visit 1 or 2, AGL Observational task completed before rule-based AGL task. SRT Observational and AGL Observational task order counterbalanced
2025-03-10
Participant Flow
Individuals with aphasia were recruited by referral from physicians, speech-language pathologists, neuropsychologists. Individuals with aphasia were also recruited from the MGH-Institute of Health Professions Aphasia Center. Participants were recruited via word of mouth, flyers/presentations and through Rally at Mass General Brigham, an online portal advertising research studies being carried out within the Mass General Brigham Network. The recruitment period lasted from 5/15/22 - 7/15/23
Participant milestones
| Measure |
Characterization of Learning
All participants complete behavioral (computer-based) learning tasks that measure their ability to learn observationally (observational learning ability: SRT Observational learning and AGL observational learning) and via rules (rule-based AGL learning ability, \[RB AGL\]).
Participants additionally complete standardized cognitive-linguistic tests. Learning tasks and cognitive linguistic tests are completed over the course of 2 to 3 sessions, each lasting around 2 hours each. The AGL Observational task was always completed before the rule-based AGL task. SRT Observational and AGL Observational task order was counterbalanced.
Enrolled participants who were safe to scan via magnetic resonance imaging (MRI) completed a structural MRI scan between one-month and five months from behavioral testing of learning.
|
|---|---|
|
Characterization of Learning-visits 1&2
STARTED
|
18
|
|
Characterization of Learning-visits 1&2
COMPLETED
|
14
|
|
Characterization of Learning-visits 1&2
NOT COMPLETED
|
4
|
|
Brain Imaging - Session 3
STARTED
|
8
|
|
Brain Imaging - Session 3
COMPLETED
|
8
|
|
Brain Imaging - Session 3
NOT COMPLETED
|
0
|
Reasons for withdrawal
| Measure |
Characterization of Learning
All participants complete behavioral (computer-based) learning tasks that measure their ability to learn observationally (observational learning ability: SRT Observational learning and AGL observational learning) and via rules (rule-based AGL learning ability, \[RB AGL\]).
Participants additionally complete standardized cognitive-linguistic tests. Learning tasks and cognitive linguistic tests are completed over the course of 2 to 3 sessions, each lasting around 2 hours each. The AGL Observational task was always completed before the rule-based AGL task. SRT Observational and AGL Observational task order was counterbalanced.
Enrolled participants who were safe to scan via magnetic resonance imaging (MRI) completed a structural MRI scan between one-month and five months from behavioral testing of learning.
|
|---|---|
|
Characterization of Learning-visits 1&2
Withdrawal by Subject
|
1
|
|
Characterization of Learning-visits 1&2
Change in health status unrelated to study rendered unable to participate
|
2
|
|
Characterization of Learning-visits 1&2
Lost to Follow-up
|
1
|
Baseline Characteristics
Determining Learning Ability in People With Aphasia
Baseline characteristics by cohort
| Measure |
Characterization of Learning
n=18 Participants
All participants are assigned to complete behavioral (computer-based) learning tasks that measure their ability to learn observationally (observational learning ability) and via rules (rule-based learning ability).
Observational Learning: All participants will complete a computer-based serial response time task intended to measure observational (implicit) learning ability. In this task, participants look at a dot move from one of 4 positions on a computer screen. Unbeknownst to participants, dot movement followed a 12-movement pattern for most experimental blocks. Eye-tracking data is collected and eye fixations within regions of interest trigger trial advancement. Learning ability is evaluated as a comparison of saccadic response times during sequenced trials relative to pseudorandomized trials.
Rule-based Learning: All participants will complete a computer-based rule-based learning task intended to measure rule-based (explicit) learning ability. In this task, participants look at sequences of geometric shapes on a computer screen. Through visuals and verbal instruction, they are taught 5 rules that govern sequences. After learning rules, participants are asked to judge via button press whether novel sequences adhere to rules or not.
|
|---|---|
|
Age, Continuous
|
61.89 Years
STANDARD_DEVIATION 10.22 • n=5 Participants
|
|
Sex: Female, Male
Female
|
6 Participants
n=5 Participants
|
|
Sex: Female, Male
Male
|
12 Participants
n=5 Participants
|
|
Ethnicity (NIH/OMB)
Hispanic or Latino
|
0 Participants
n=5 Participants
|
|
Ethnicity (NIH/OMB)
Not Hispanic or Latino
|
17 Participants
n=5 Participants
|
|
Ethnicity (NIH/OMB)
Unknown or Not Reported
|
1 Participants
n=5 Participants
|
|
Race (NIH/OMB)
American Indian or Alaska Native
|
0 Participants
n=5 Participants
|
|
Race (NIH/OMB)
Asian
|
0 Participants
n=5 Participants
|
|
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
|
0 Participants
n=5 Participants
|
|
Race (NIH/OMB)
Black or African American
|
3 Participants
n=5 Participants
|
|
Race (NIH/OMB)
White
|
14 Participants
n=5 Participants
|
|
Race (NIH/OMB)
More than one race
|
0 Participants
n=5 Participants
|
|
Race (NIH/OMB)
Unknown or Not Reported
|
1 Participants
n=5 Participants
|
|
Region of Enrollment
United States
|
18 participants
n=5 Participants
|
|
Months post stroke
|
106 Months
STANDARD_DEVIATION 96.2 • n=5 Participants
|
PRIMARY outcome
Timeframe: Study visit 1 or 2, AGL Observational task completed before rule-based AGL task. SRT Observational and AGL Observational task order counterbalancedFor the SRT observational learning task, responses are made via eye gaze into a visual area of interest (AOI). Reaction times (RTs) are recorded as the time between target onset and gaze fixation within the target AOI. A trial is considered incorrect if an eye fixation was made that does not correspond to the target AOI. RTs for correct trials are examined. Outlier RTs three standard deviations above the mean RT of each block are removed. A score of learning is computed by comparing RTs on the last (7th) sequenced block of trials with RTs on the following (8th) pseudorandomized block (Schwarb \& Schumacher, 2012). A Cohen's d effect size (ES) of observational learning is calculated for each individual participant that compares mean RTs on the final sequenced block (S7) and the pseudorandom block (PS8) using pooled standard deviations. Mean Cohen's d is reported. Negative values indicate better learning.
Outcome measures
| Measure |
Characterization of Learning
n=14 Participants
All participants complete behavioral (computer-based) learning tasks that measure their ability to learn observationally (observational learning ability: SRT Observational learning and AGL observational learning) and via rules (rule-based AGL learning ability, \[RB AGL\]).
Participants additionally complete standardized cognitive-linguistic tests. Learning tasks and cognitive linguistic tests are completed over the course of 2 to 3 sessions, each lasting around 2 hours each. The AGL Observational task was always completed before the rule-based AGL task. SRT Observational and AGL Observational task order was counterbalanced.
Enrolled participants who were safe to scan via magnetic resonance imaging (MRI) completed a structural MRI scan between one-month and five months from behavioral testing of learning.
|
|---|---|
|
SRT Observational Learning Ability
|
-0.03 Cohen's d
Standard Deviation 0.34
|
PRIMARY outcome
Timeframe: Study visit 1 or 2, AGL Observational task completed before rule-based AGL task. SRT Observational and AGL Observational task order counterbalancedFor the AGL Observational learning task, a percent accuracy score is computed for the test phase. Higher scores indicate better outcome.
Outcome measures
| Measure |
Characterization of Learning
n=14 Participants
All participants complete behavioral (computer-based) learning tasks that measure their ability to learn observationally (observational learning ability: SRT Observational learning and AGL observational learning) and via rules (rule-based AGL learning ability, \[RB AGL\]).
Participants additionally complete standardized cognitive-linguistic tests. Learning tasks and cognitive linguistic tests are completed over the course of 2 to 3 sessions, each lasting around 2 hours each. The AGL Observational task was always completed before the rule-based AGL task. SRT Observational and AGL Observational task order was counterbalanced.
Enrolled participants who were safe to scan via magnetic resonance imaging (MRI) completed a structural MRI scan between one-month and five months from behavioral testing of learning.
|
|---|---|
|
AGL Observational Learning Ability
|
50.08 Percent accuracy
Standard Deviation 12.19
|
PRIMARY outcome
Timeframe: Study visit 1 or 2, AGL Observational task completed before rule-based AGL task. SRT Observational and AGL Observational task order counterbalancedFor the rule-based AGL task, a percent accuracy score is computed for the test phase. Higher scores indicate better outcome.
Outcome measures
| Measure |
Characterization of Learning
n=14 Participants
All participants complete behavioral (computer-based) learning tasks that measure their ability to learn observationally (observational learning ability: SRT Observational learning and AGL observational learning) and via rules (rule-based AGL learning ability, \[RB AGL\]).
Participants additionally complete standardized cognitive-linguistic tests. Learning tasks and cognitive linguistic tests are completed over the course of 2 to 3 sessions, each lasting around 2 hours each. The AGL Observational task was always completed before the rule-based AGL task. SRT Observational and AGL Observational task order was counterbalanced.
Enrolled participants who were safe to scan via magnetic resonance imaging (MRI) completed a structural MRI scan between one-month and five months from behavioral testing of learning.
|
|---|---|
|
AGL Rule-based Learning Ability
|
63.1 Percent accuracy
Standard Deviation 21.6
|
SECONDARY outcome
Timeframe: Study visit 1 or 2Standardized measure of severity of expressive and receptive language deficits (Western Aphasia Battery \[WAB\] score range 0 - 100 with high scores indicating lower severity)
Outcome measures
| Measure |
Characterization of Learning
n=14 Participants
All participants complete behavioral (computer-based) learning tasks that measure their ability to learn observationally (observational learning ability: SRT Observational learning and AGL observational learning) and via rules (rule-based AGL learning ability, \[RB AGL\]).
Participants additionally complete standardized cognitive-linguistic tests. Learning tasks and cognitive linguistic tests are completed over the course of 2 to 3 sessions, each lasting around 2 hours each. The AGL Observational task was always completed before the rule-based AGL task. SRT Observational and AGL Observational task order was counterbalanced.
Enrolled participants who were safe to scan via magnetic resonance imaging (MRI) completed a structural MRI scan between one-month and five months from behavioral testing of learning.
|
|---|---|
|
Standardized Assessment of Cognitive Linguistic Ability - Language Severity
|
80.5 units on a scale of 100
Standard Deviation 13.8
|
SECONDARY outcome
Timeframe: Study visit 1 or 2Composite scores based on standardized assessments of attention, working memory, and executive function were computed. Each score is computed and reported as an percent score. Minimum score is 0, maximum is 100. Higher scores indicate better cognitive ability.
Outcome measures
| Measure |
Characterization of Learning
n=14 Participants
All participants complete behavioral (computer-based) learning tasks that measure their ability to learn observationally (observational learning ability: SRT Observational learning and AGL observational learning) and via rules (rule-based AGL learning ability, \[RB AGL\]).
Participants additionally complete standardized cognitive-linguistic tests. Learning tasks and cognitive linguistic tests are completed over the course of 2 to 3 sessions, each lasting around 2 hours each. The AGL Observational task was always completed before the rule-based AGL task. SRT Observational and AGL Observational task order was counterbalanced.
Enrolled participants who were safe to scan via magnetic resonance imaging (MRI) completed a structural MRI scan between one-month and five months from behavioral testing of learning.
|
|---|---|
|
Standardized Assessment of Cognitive Linguistic Ability - Cognitive Composite : Attention
|
88.77 percent score
Standard Deviation 21.87
|
SECONDARY outcome
Timeframe: Study visit 1 or 2Composite scores based on standardized assessments of attention, working memory, and executive function were computed. Each score is computed and reported as an percent score. Minimum score is 0, maximum is 100. Higher scores indicate better cognitive ability.
Outcome measures
| Measure |
Characterization of Learning
n=14 Participants
All participants complete behavioral (computer-based) learning tasks that measure their ability to learn observationally (observational learning ability: SRT Observational learning and AGL observational learning) and via rules (rule-based AGL learning ability, \[RB AGL\]).
Participants additionally complete standardized cognitive-linguistic tests. Learning tasks and cognitive linguistic tests are completed over the course of 2 to 3 sessions, each lasting around 2 hours each. The AGL Observational task was always completed before the rule-based AGL task. SRT Observational and AGL Observational task order was counterbalanced.
Enrolled participants who were safe to scan via magnetic resonance imaging (MRI) completed a structural MRI scan between one-month and five months from behavioral testing of learning.
|
|---|---|
|
Standardized Assessment of Cognitive Linguistic Ability - Cognitive Composite : Working Memory
|
51.06 percent score
Standard Deviation 20.67
|
SECONDARY outcome
Timeframe: Study visit 1 or 2Composite scores based on standardized assessments of attention, working memory, and executive function were computed. Each score is computed and reported as an percent score. Minimum score is 0, maximum is 100. Higher scores indicate better cognitive ability.
Outcome measures
| Measure |
Characterization of Learning
n=14 Participants
All participants complete behavioral (computer-based) learning tasks that measure their ability to learn observationally (observational learning ability: SRT Observational learning and AGL observational learning) and via rules (rule-based AGL learning ability, \[RB AGL\]).
Participants additionally complete standardized cognitive-linguistic tests. Learning tasks and cognitive linguistic tests are completed over the course of 2 to 3 sessions, each lasting around 2 hours each. The AGL Observational task was always completed before the rule-based AGL task. SRT Observational and AGL Observational task order was counterbalanced.
Enrolled participants who were safe to scan via magnetic resonance imaging (MRI) completed a structural MRI scan between one-month and five months from behavioral testing of learning.
|
|---|---|
|
Standardized Assessment of Cognitive Linguistic Ability - Cognitive Composite : Executive Function
|
75.24 percent score
Standard Deviation 17.11
|
SECONDARY outcome
Timeframe: Study visit 3, between one-month and five months from behavioral testing of learningLesion maps, in which the lesioned voxels are assigned a binary value (1 or 0), are normalized from native to the Montreal Neurological Institute (MNI) template (a standard brain template utilized in imaging studies). Individualized lesion maps are subtracted from each brain region of interest (ROI) to yield the volume of spared tissue per ROI. The percentage of spared tissue in each region is calculated by dividing the volume of spared tissue by the total volume of the MNI template atlas ROI. Two ROIs have been selected based on prior research showing differential activation in observational versus rule-based learning: the prefrontal cortex and the striatum.
Outcome measures
| Measure |
Characterization of Learning
n=8 Participants
All participants complete behavioral (computer-based) learning tasks that measure their ability to learn observationally (observational learning ability: SRT Observational learning and AGL observational learning) and via rules (rule-based AGL learning ability, \[RB AGL\]).
Participants additionally complete standardized cognitive-linguistic tests. Learning tasks and cognitive linguistic tests are completed over the course of 2 to 3 sessions, each lasting around 2 hours each. The AGL Observational task was always completed before the rule-based AGL task. SRT Observational and AGL Observational task order was counterbalanced.
Enrolled participants who were safe to scan via magnetic resonance imaging (MRI) completed a structural MRI scan between one-month and five months from behavioral testing of learning.
|
|---|---|
|
Percent Spared Tissue Per ROI
Prefrontal cortex ROI
|
88.8 Percent Spared Tissue within the ROI
Standard Deviation 11.8
|
|
Percent Spared Tissue Per ROI
Striatum ROI
|
79.37 Percent Spared Tissue within the ROI
Standard Deviation 18.84
|
Adverse Events
Characterization of Learning
Serious adverse events
Adverse event data not reported
Other adverse events
Adverse event data not reported
Additional Information
Sofia Vallila Rohter, Project Principle Investigator
MGH-Institute of Health Professions
Results disclosure agreements
- Principal investigator is a sponsor employee
- Publication restrictions are in place