White Matter Hyperintensities as a Predictor of Aphasia Recovery

Joseph S Kang; Lisa D Bunker; Melissa D Stockbridge; Argye E Hillis

doi:10.1016/j.apmr.2024.01.008

White Matter Hyperintensities as a Predictor of Aphasia Recovery

Arch Phys Med Rehabil. 2024 Jan 26:S0003-9993(24)00051-0. doi: 10.1016/j.apmr.2024.01.008. Online ahead of print.

Authors

Joseph S Kang¹, Lisa D Bunker², Melissa D Stockbridge¹, Argye E Hillis³

Affiliations

¹ Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD.
² Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD; Speech-Language Pathology Program, College of Health Sciences, Midwestern University, Glendale, AZ.
³ Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Cognitive Science, Johns Hopkins University, Baltimore, MD. Electronic address: argye@jhmi.org.

PMID: 38281579
DOI: 10.1016/j.apmr.2024.01.008

Abstract

Objective: To examine the relation between baseline white matter hyperintensities (WMH) and change in naming, content production, and efficiency after treatment in subacute aphasia. We hypothesized that more severe baseline WMH would result in less improvement with treatment.

Design: Retrospective analysis of a cohort from a double-blind randomized controlled trial (RCT).

Setting: Outpatient clinical setting or participant home.

Participants: We retrospectively reviewed imaging and behavioral data for 52 participants with subacute aphasia due to left-hemisphere ischemic stroke enrolled in the RCT. RCT inclusion criteria: English proficiency, normal/corrected-to-normal hearing/vision, and no history of neurologic conditions other than the stroke resulting aphasia. One participant with a chronic right-hemisphere lesion was retained as she presented with no residual deficits on neurologic examination. Individuals with scalp sensitivities or on medications that lower seizure threshold or any N-methyl-D-aspartate (NMDA) antagonists were excluded. Of the 52 participants, for this analysis, 2 were excluded for not having a magnetic resonance imaging, and 7 were excluded for not participating in treatment or pre/post assessment for at least 1 outcome, resulting in final sample of 43 participants (20 women sex, M [SD] age=64.4 [11.9] and M [SD] education=14.9 [3.1] years).

Interventions: Participants received 15 sessions (2-3 times/week) of computerized lexical-semantic (ie, verification) treatment with [sham/active] transcranial direct current stimulation (tDCS). Sessions were approximately 45 minutes each (tDCS for first 20 minutes).

Main outcome measures: Naming accuracy, content units (CUs, a measure of semantically accurate production), and efficiency (ie, syllables/CU) on a picture description task.

Results: Periventricular WMH severity was independently associated with recovery in picture naming for the active tDCS group. Deep WMH severity was associated with recovery for CU production for the sham tDCS group.

Conclusion: Baseline periventricular and deep WMH, among other factors, may be an important consideration for prognosis and treatment planning, especially when considered in conjunction with tDCS treatment.

Keywords: Aphasia; Rehabilitation; Stroke; White matter hyperintensities; tDCS.