Methods

Research
 
Methods

Cognitive/Language Testing

A set of tests are administered to all participants enrolled in CNLR studies to evaluate cognitive and language functions and how these change with treatment.

Cognitive Measures

All participants are evaluated on their ability to learn new material using a Serial Response Time measure developed for CNLR use (modeled after Brown & Robertson, 2007; Brown, Robertson, & Press, 2009). Memory and other cognitive abilities also are tested.

Northwestern Assessment of Verbs and Sentences (NAVS)

The Northwestern Assessment of Verbs and Sentences (NAVS) was designed by Dr. Cynthia K. Thomson to examine comprehension and production of action verbs, production of verb argument structure in sentence contexts, and comprehension and production of canonical and non-canonical sentences in individuals with language disorders resulting from neurological disease. The NAVS provides a comprehensive assessment of production and comprehension of verbs and sentences.

 

For information about purchasing NAVS materials, please visit http://flintbox.com/public/project/9299/.

Northwestern Naming Battery (NNB)

The Northwestern Naming Battery (NNB), developed by Drs. Cynthia K Thompson and Sandra Weintraub, examines noun and verb comprehension and naming, as well as auditory discrimination, lexical decision, semantic associates, non-word and word repetition in individuals with language disorders resulting from neurological disease. Results provide a cognitive neuropsychological profile of lexical semantic processing.

 

For information about purchasing NNB materials, please visit http://flintbox.com/public/project/22014/.

 

Neuroimaging Data and Analysis

All behavioral and neuroimaging data collected at project sites are evaluated at Northwestern University’s Center for Translational Neuroimaging (CTI), under the direction of Dr. Todd Parrish, to examine models of language recovery. The Neuroimaging data include structural (anatomic and diffusion), functional (task-based and resting state), and physiologic (perfusion). State-of-the-art data processing machinery is used to automatically analyze the data and add them to the project-wide database. These data are used to address specific questions about how the brain recovers from aphasia and the biomarkers that predict language recovery.

 

Functional Magnetic Resonance Imaging (fMRI)

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Functional MRI (fMRI) is a neuroimaging technique used to map brain activity. This technique evaluates blood flow changes to detect which regions of the brain are activated during various tasks. A method called resting state fMRI is also employed, which does not require participants to perform a task. We analyze brain activity during the resting state to examine how regions of the brain communicate with each other. Both types of MRI data are used to determine changes in the brain activity patterns associated with language treatment and recovery.

Diffusion Tensor Imaging (DTI)

DTI Image Example

DTI is a structural neuroimaging method that is sensitive to microscopic movement of water and is used to examine the white matter (WM) tracts in the brain. The white matter is the wiring that connects the gray matter (the processing part of the brain). DTI allows us to visualize the 3D connectivity of the brain’s WM tracts. DTI takes advantage of the fact that water molecules have limited circulation across myelin, the fatty substance coating our neuron’s axons in the brains. We evaluate sensitivity to myelin thickness to investigate if the treatments we provide have an effect on the WM tracts in people with aphasia.

Perfusion

Perfusion is a measure of cerebral blood flow. CNLR uses a non-invasive method that labels the blood and measures how it is delivered to the brain. The region surrounding the stroke lesion typically has reduced blood flow. The aim of the perfusion measure is to determine regions of the brain that are hypoperfused (under perfused) in people with stroke-induced aphasia and to evaluate whether or not hypoperfused tissue can be recruited to support recovery of language. Results will determine whether or not patterns of hypoperfusion can help predict language recovery.

Structural Imaging

Structural Image Example

The study will collect a high resolution 3D image of the brain for analysis and display purposes. In addition, 2D anatomic data that is sensitive to gliosis will be collected using a FLAIR sequence. This imaging can identify regions of the brain adjacent to the stroke lesion that are not normal. Structural measures are correlated with language recovery to determine how the location, size and thickness of cortical tissue may be predictive of language recovery.

Eye-Tracking

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Eye-tracking is a technique that allows us to follow participants’ eye movements as they listen to or produce sentences. Movements of the eye and language processing are highly connected. Thus, this technique provides a window into how people process language in real time. Eye-tracking is used in our study to determine if, as a result of treatment, people with aphasia show changes in their sentence processing strategies.

 

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