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The purpose of this study is to identify unique profiles of speech and language changes that distinguish individuals with Parkinson's disease from adults without Parkinson's disease and individuals with Parkinson's disease with cognitive (e.g., memory, thinking skills) impairment from those without cognitive impairment.
Aim 1 will characterize PD-MCI (Parkinson's disease mild cognitive impairment), PDN (Parkinson's disease without cognitive impairment), and HA (healthy adult) spoken discourse, cognitive, and motor speech profiles. Phase 2 biomarker development requires robustly characterized cohorts in which to test candidate biomarkers. Using a standardized battery of cognitive, language, and motor speech tests PD participants will be assigned to PD-MCI (single/multi-domain) or PDN groups. The investigators propose collecting spoken discourse samples using standardized elicitation protocols. The same tasks will be extracted from the extant HA database. Researchers will transcribe, code, and analyze discourse samples. Group differences (including sub-analyses for single and multi-domain MCI subtypes), elicitation stimuli effects, and group x stimuli interactions will be examined using multivariate and mixed-design ANOVA procedures.
Aim 2 will develop and evaluate the classification accuracy of an optimally weighted discourse classification function for PD-MCI and PDN. The investigators propose using discriminant function analysis to identify an optimized composite variable that best predicts PD-MCI, PDN, and HA group membership. Sensitivity/specificity analyses, positive/negative predictive values, and receiver operating characteristic curves will be used to evaluate the discourse classification function properties.
The primary endpoint is an optimally weighted discourse function that can classify PD-MCI with > 80% sensitivity/specificity.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Pakinson's disease without cognitive impairment |
| ||
| Pakinson's disease with cognitive impairment |
|
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| Measure | Description | Time Frame |
|---|---|---|
| Discourse Composite Variable | Weighted variable comprised of discourse features extracted from spoken discourse samples across productivity, lexical retrieval, verbal fluency, syntax complexity, grammatical accuracy, narrative coherence, correct information units, and main event accuracy. Raw data from each measure are multiplied by a specified weight and summed to generate a single composite discourse score. | baseline |
| Measure | Description | Time Frame |
|---|---|---|
| Words per minute | Number of total words ÷ Participant speaking time in minutes | baseline |
| Correct information units (CIUs) | Number of words intelligible in context and accurate, relevant, and informative about the picture content (Brookshire & Nicholas, 1994; Nicholas & Brookshire, 1993) |
| Measure | Description | Time Frame |
|---|---|---|
| Discourse Global Coherence | Each utterance is rated on a scale of 1-4 judging the relation of each sentence to the overall topic. '4' reflects that the utterance is overtly related to the stimulus as defined by mention of actors, actions, and/or objects present in the stimulus, which are of significant importance to the main details of the stimulus. | baseline |
Inclusion Criteria:
Only individuals with PD will be newly recruited and enrolled as part of the study. Healthy adult data will be extracted from extant databases (publicly available) from NIH-funded studies.
Inclusion Criteria Person with Parkinson's disease without cognitive impairment
Inclusion Criteria Person with Parkinson's disease mild cognitive impairment
Inclusion Healthy Adults (from extant data base - no new recruiting)
Exclusion Criteria:
Exclusion Criteria Neurological injury or disease (other than PD for the PD cohort)
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Only individuals with PD will be newly recruited and enrolled as part of the study. Healthy adult data will be extracted from extant databases (publicly available) from NIH-funded studies.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Northwestern University | Evanston | Illinois | 60201 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 8487525 | Background | Nicholas LE, Brookshire RH. A system for quantifying the informativeness and efficiency of the connected speech of adults with aphasia. J Speech Hear Res. 1993 Apr;36(2):338-50. doi: 10.1044/jshr.3602.338. | |
| 8028321 | Background | Brookshire RH, Nicholas LE. Speech sample size and test-retest stability of connected speech measures for adults with aphasia. J Speech Hear Res. 1994 Apr;37(2):399-407. doi: 10.1044/jshr.3702.399. |
| Label | URL |
|---|---|
| SALT Subordination index | View source |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Nov 17, 2021 | Jan 6, 2022 | Prot_SAP_000.pdf |
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| ID | Term |
|---|---|
| D010300 | Parkinson Disease |
| ID | Term |
|---|---|
| D020734 | Parkinsonian Disorders |
| D001480 | Basal Ganglia Diseases |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
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| baseline |
| % CIUs | CIUs ÷ number of words (Brookshire & Nicholas, 1994; Nicholas & Brookshire, 1993) × 100 | baseline |
| CIUs/min | CIUs ÷ Participant speaking time in minutes (Brookshire & Nicholas, 1994; Nicholas & Brookshire, 1993) | baseline |
| % Main Events | Proportion of correct narrative main events (Capilouto et al., 2005) | baseline |
| Moving-average type-token ratio (MATTR) | SALT-generated moving-average ratio of different words : total words (SALT Inc., 2017"). Window size = 23 words, based on the number of words in smallest discourse sample (Roberts & Post, 2018) | baseline |
| Mean length of utterance (MLU) | Mean length of utterance in words for intelligible, complete, verbal, task-relevant utterances (SALT Inc., 2017) | baseline |
| % Grammatical | Number of content units without lexical selection or grammar rule violations (Thompson et al., 1995, 2012) ÷ Total intelligible, complete, verbal, task-relevant utterances × 100 | baseline |
| Subordination index (SI) | Subordination index composite score. The ratio of total number of subject + Predicate clauses : total number of content units (SALT Software LLC, 2018b) | baseline |
| Number of clauses/content units | Number of clauses per content units (based on the count of main verbs) | baseline |
| Word-level dysfluencies/content units | Total number of word, syllable, and sound repetitions plus the total number of initial, middle, and final sound prolongations (SALT Software LLC, 2018a) ÷ Total utterances | baseline |
| Number of pauses/content units | Number of pauses >1.5 s ÷ Total utterances | baseline |
| Percent maze words/total words | Maze words (i.e., filled pauses, false starts, reformulations, and interjections) ÷ Maze words + non-maze words | baseline |
| Discourse Local Coherence | Each utterance is rated on a scale of 1-5 judging the relation of adjacent sentences to each other. '5' reflects that the utterance is in relation to continuation, elaboration, repetition, subordination or coordination of ideas from the preceding utterance. | baseline |
| 16199238 | Background | Capilouto G, Wright HH, Wagovich SA. CIU and main event analyses of the structured discourse of older and younger adults. J Commun Disord. 2005 Nov-Dec;38(6):431-44. doi: 10.1016/j.jcomdis.2005.03.005. Epub 2005 Apr 26. |
| 30208482 | Background | Roberts A, Post D. Information Content and Efficiency in the Spoken Discourse of Individuals With Parkinson's Disease. J Speech Lang Hear Res. 2018 Sep 19;61(9):2259-2274. doi: 10.1044/2018_JSLHR-L-17-0338. |
| 22199417 | Background | Thompson CK, Cho S, Hsu CJ, Wieneke C, Rademaker A, Weitner BB, Mesulam MM, Weintraub S. Dissociations Between Fluency And Agrammatism In Primary Progressive Aphasia. Aphasiology. 2012;26(1):20-43. doi: 10.1080/02687038.2011.584691. |
| Background | Thompson, C. K., Shapiro, L. P., Li, L., & Schendel, L. (1995). Analysis of verbs and verb-argument structure: A method for quantification of aphasic language production. Clinical Aphasiology, 23, 121-140. |
| Background | Harris Wright, H., Koutsoftas, A., Fergadiotis, G., & Capilouto, G. (2010). Coherence in Stories Told by Adults With Aphasia. |
| 22962509 | Background | Wright HH, Capilouto GJ. Considering a multi-level approach to understanding maintenance of global coherence in adults with aphasia. Aphasiology. 2012 Jan 1;26(5):656-672. doi: 10.1080/02687038.2012.676855. Epub 2012 May 10. |
| 2009448 | Background | Glosser G, Deser T. Patterns of discourse production among neurological patients with fluent language disorders. Brain Lang. 1991 Jan;40(1):67-88. doi: 10.1016/0093-934x(91)90117-j. |
| 10498013 | Background | Van Leer E, Turkstra L. The effect of elicitation task on discourse coherence and cohesion in adolescents with brain injury. J Commun Disord. 1999 Sep-Oct;32(5):327-48; quiz 348-9. doi: 10.1016/s0021-9924(99)00008-8. |
| D009422 | Nervous System Diseases |
| D009069 | Movement Disorders |
| D000080874 | Synucleinopathies |
| D019636 | Neurodegenerative Diseases |