# White matter predictors of cerebellar tDCS treatment effects in aphasia rehabilitation

**Authors:** Micah A. Johnson, Zafer Keser, Becky Lammers, Myra J. Sydnor, Jamie L. Murter, Patrick Sadil, Yiyang Zhang, John E. Desmond, Argye E. Hillis, Martin A. Lindquist, Rajani Sebastian

PMC · DOI: 10.3389/fneur.2026.1659337 · Frontiers in Neurology · 2026-02-20

## TL;DR

This study explores how baseline white matter properties in the brain can predict the effectiveness of cerebellar tDCS in aphasia rehabilitation.

## Contribution

The study identifies baseline white matter tract properties as potential biomarkers for predicting treatment outcomes in cerebellar tDCS for aphasia.

## Key findings

- Baseline tract properties predict treatment gains for untrained tasks when connecting the left cortex to the right cerebellum.
- Language improvements are predicted by higher fractional anisotropy and lower mean diffusivity in baseline white matter tracts.
- Tract properties in non-stimulated regions influence gains for trained language tasks.

## Abstract

Cerebellar transcranial direct current stimulation (tDCS) combined with language therapy can aid in chronic aphasia recovery, but the neural mechanisms and biomarkers of treatment efficacy remain uncertain.

In this secondary analysis of data from a previously conducted clinical trial, we used a randomized, double-blind, sham-controlled, within-subject crossover design with a study sample of 19 participants with post-stroke aphasia. We assessed the degree to which baseline properties of cerebro-cerebellar white matter tracts can predict or moderate longitudinal treatment effects at three time points: post-treatment, 2 weeks post-treatment, and 2 months post-treatment. Tract properties were measured by fractional anisotropy (FA) and mean diffusivity (MD) from diffusion tensor imaging (DTI). We also tested whether there are differential effects between trained and untrained language tasks and between cerebellar tDCS polarity (anodal and cathodal).

Baseline measures of tracts connecting the left lesioned cortex to the right posterolateral cerebellum (stimulation target) influenced treatment gains for untrained tasks, relative to sham control. In contrast, for the trained task, treatment gains were influenced by baseline measures of tracts connecting the non-stimulated left cerebellum with the contralateral right cerebral cortex. Although there were no consistent effects from cerebellar tDCS polarity, a highly consistent pattern emerged across all tasks and tracts. Specifically, language improvements were predicted by a baseline tract profile (i.e., higher FA and lower MD) typically associated with higher white matter integrity, especially within the context of stroke-induced white matter decline.

These findings corroborate the potential for baseline tract properties as a biomarker of treatment efficacy and support the notion that adjuvant (cerebellar tDCS + language) therapy preferentially benefits individuals with relatively preserved structural connections within functionally relevant networks.

ClinicalTrials.gov, identifier (NCT02901574).

## Linked entities

- **Diseases:** aphasia (MONDO:0000598), stroke (MONDO:0005098)

## Full-text entities

- **Genes:** CHPT1 (choline phosphotransferase 1) [NCBI Gene 56994] {aka CPT, CPT1}
- **Diseases:** Aphasia (MESH:D001037), cortical lesions (MESH:D054220), depression (MESH:D003866), chronic (MESH:D002908), atrophy (MESH:D001284), ischemic (MESH:D002545), psychiatric (MESH:D001523), chronic stroke (MESH:D020521), hemorrhagic (MESH:D006470), white matter (MESH:D056784), cerebellar lesions (MESH:D002526), naming deficits (MESH:D009461), visual or hearing loss (MESH:D034381), seizure (MESH:D012640)
- **Chemicals:** DRTC (-), carbon (MESH:D002244)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12962960/full.md

## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12962960/full.md

## References

102 references — full list in the complete paper: https://tomesphere.com/paper/PMC12962960/full.md

---
Source: https://tomesphere.com/paper/PMC12962960