Evidence map›Paper›PMID 37588128›Full record

ArticleNeurobiology of language (Cambridge, Mass.)2023

Corticocerebellar White Matter Integrity Is Related to Naming Outcome in Post-Stroke Aphasia.

Zafer Keser, Erin L Meier, Melissa D Stockbridge, Bonnie L Breining, Argye E Hillis, Rajani Sebastian

Open access · goldAbstract read
In one paragraph

Article in Neurobiology of language (Cambridge, Mass.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Cerebello-Cerebral Pathways Contribute to Written Word Production.Neurobiology of language (Cambridge, Mass.) · 2025
    Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Zafer KeserDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID https://orcid.org/0000-0001-6415-0874
Erin L MeierDepartment of Communication Sciences and Disorders, Northeastern University, Boston, MA, USA.
Melissa D StockbridgeDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID https://orcid.org/0000-0001-9069-1236
Bonnie L BreiningDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID https://orcid.org/0000-0001-7197-6164
Argye E HillisDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-5192-1171
Rajani SebastianDepartment of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-1733-6964
Johns Hopkins University · USNortheastern University · US

Funding

Telerehab for Aphasia (TERRA)P50DC014664 · NIDCD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI FRIDRIKSSON, JULIUS · 2016 to 2025
$25.0M
Neural Basis of Lexical Deficits in Hyperacute StrokeR01DC005375 · NIDCD · JOHNS HOPKINS UNIVERSITY · PI Argye E. Hillis · 2002 to 2026
$11.8M
Cerebellar stimulation for Aphasia RehabilitationR01DC019639 · NIDCD · JOHNS HOPKINS UNIVERSITY · PI Rajani Sebastian · 2022 to 2026
$3.5M
The Neural Basis of Impaired Affective Prosody in Alzheimer's Disease and Frontotemporal DegenerationR01DC015466 · NIDCD · JOHNS HOPKINS UNIVERSITY · PI HILLIS, ARGYE E. · 2017 to 2021
$3.5M
State of the Art 3T Research ScannerS10OD021648 · OD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2016 to 2016
$2.0M
Cerebellar Transcranial Direct Current Stimulation to Augment Chronic Aphasia TreatmentR00DC015554 · NIDCD · JOHNS HOPKINS UNIVERSITY · PI SEBASTIAN, RAJANI · 2018 to 2020
$720k
Cerebellar stimulation for Aphasia RehabilitationR56DC019639 · NIDCD · JOHNS HOPKINS UNIVERSITY · PI SEBASTIAN, RAJANI · 2021 to 2021
$663k
NIDCD NIH HHS P50 DC014664NIDCD NIH HHS R00 DC015554NIDCD NIH HHS R01 DC005375NIDCD NIH HHS R01 DC015466NIDCD NIH HHS R01 DC019639NIDCD NIH HHS R56 DC019639NIH HHS S10 OD021648
6 · The paper itself

Abstract

Studies have shown that the integrity of white matter tracts connecting different regions in the left cerebral hemisphere is important for aphasia recovery after stroke. However, the impact of the underlying structural connection between the cortex and the cerebellum in post-stroke aphasia is poorly understood. We studied the microstructural integrity of the cerebellum and the corticocerebellar connections and their role in picture naming. Fifty-six patients with left cerebral infarcts (sparing the cerebellum) underwent diffusion tensor imaging (DTI) and Boston Naming Test. We compared the fractional anisotropy (FA) and mean diffusivity (MD) values of the right and the left cerebellum (lobular gray and white matter structures) and cerebellocortical connections. Recursive feature elimination and Spearman correlation analyses were performed to evaluate the relationship between naming performance and the corticocerebellar connections. We found that the right, relative to left, cerebellar structures and their connections with the left cerebrum showed lower FA and higher MD values, both reflecting lower microstructural integrity. This trend was not observed in the healthy controls. Higher MD values of the right major cerebellar outflow tract were associated with poorer picture naming performance. Our study provides the first DTI data demonstrating the critical importance of ascending and descending corticocerebellar connections for naming outcomes after stroke.

Indexed as

aphasiacerebellumstroketractography

Identifiers

PMID37588128
PMCPMC10426388
OpenAlexW4365138538

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.