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Practical Methodology of Cognitive Tasks Within a Navigational Assessment

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Assessing Relative Linguistic Impairment With Model-Based Item Selection.

Grant M Walker¹, Julius Fridriksson², Gregory Hickok^1,3

¹Department of Cognitive Sciences, University of California, Irvine.

Journal of Speech, Language, and Hearing Research : JSLHR

|July 12, 2024

Summary

A new picture naming test, the relative linguistic impairment (RLI) score, accurately assesses anomia severity in stroke patients. RLI scores predict speech fluency and brain activation patterns, proving useful for clinical evaluation.

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Area of Science:

Neuroscience
Psycholinguistics
Clinical Neurology

Background:

Anomia, a common deficit after left-hemisphere stroke, impairs word retrieval.
Existing tests may not precisely differentiate lexical and sublexical processing deficits.

Purpose of the Study:

To introduce and psychometrically validate a novel picture naming test to assess specific naming impairments.
To develop the relative linguistic impairment (RLI) score to quantify lexical and sublexical processing deficits.

Main Methods:

Constructed two item sets targeting lexical and sublexical word retrieval using a computational model.
Administered the RLI test to 91 chronic left-hemisphere stroke patients with anomia.
Assessed RLI score psychometric properties and predictive validity for language behaviors, lesion location, and brain activation.

Main Results:

RLI scores demonstrated adequate psychometric properties and clinical significance.
RLI scores predicted spontaneous speech fluency beyond overall accuracy.
Dissociations were found between RLI performance and other language tests; sublexical RLI correlated with apraxia of speech and perisylvian lesions, while lexical RLI correlated with deep white matter lesions.
Functional brain imaging revealed RLI-related activation shifts in dorsal and ventral networks during naming.

Conclusions:

The RLI assessment is a psychometrically sound clinical tool for evaluating anomia.
RLI provides insights into the neural underpinnings of word retrieval deficits in stroke survivors.