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Record W4413902098 · doi:10.3389/fnhum.2025.1611272

Protocol for a multisite study on the efficacy of transcranial direct current stimulation as an adjuvant to naming and spelling therapy in the treatment of oral and written naming in individuals with primary progressive aphasia

2025· article· en· W4413902098 on OpenAlexaffabout
Michèle Masson‐Trottier, Donna Tippett, Brenda Rapp, Denise Y. Harvey, Carlos Roncero, Leslie Vnenchak, Andréia V. Faria, Constantine Frangakis, Howard Chertkow, Roy H. Hamilton, Argye E. Hillis, Kyrana Tsapkini

Bibliographic record

VenueFrontiers in Human Neuroscience · 2025
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology of Language and Bilingualism
Canadian institutionsBank of CanadaMcGill UniversityQuebec - Clinical Research Organization in CancerBaycrest HospitalJewish General HospitalUniversity of Toronto
FundersNational Institute of Biomedical Imaging and BioengineeringNational Institute on AgingNational Institutes of Health
KeywordsTranscranial direct-current stimulationSpellingMedicineProtocol (science)AdjuvantStimulationPsychologyBrain stimulationNeuroscienceOncologyLinguisticsAlternative medicine

Abstract

fetched live from OpenAlex

Primary progressive aphasia (PPA) is a neurological syndrome characterized by the gradual deterioration of language capabilities. Due to its neurodegenerative nature, PPA is marked by a continuous decline, necessitating ongoing and adaptive therapeutic interventions. Recent studies have demonstrated that behavioral therapies, particularly when combined with neuromodulation techniques such as transcranial direct current stimulation (tDCS), can improve treatment outcomes, including the long-term maintenance and generalization of therapeutic effects. However, there has yet to be a phase II multisite study examining the efficacy of tDCS in individuals with PPA. This paper reports the methods and analyses for the clinical trial NCT05386394. A total of 120 adults with non-fluent and logopenic variant PPA will receive a novel spoken Naming and Spelling (NaSp), individuals with semantic variant PPA will be excluded from this trial. Participants will receive NASP therapy over two periods of 3 weeks (Monday through Friday, for a total of 15 non-consecutive days) combined with anodal (a-tDCS) and sham tDCS (s-tDCS). They will be randomly allocated to receive a-tDCS either during the first or second intervention period. The study will be conducted at four sites across the United States and Canada. Outcome measures will be recorded immediately before and after each intervention period, as well as 3 months after each period. Primary outcome measures will be the change in phonemic accuracy in spoken picture naming and letter accuracy in spelling for trained nouns and verbs. Changes from the a-tDCS and s-tDCS periods will be compared to determine the efficacy of tDCS. Primary outcomes will be analyzed using statistical methods that account for repeated measures within participants (namely generalized estimating equations). A significant adjuvant effect of tDCS will be determined if differences in phonemic accuracy and/or letter accuracy immediately following a-tDCS intervention and/or at the 3-month follow-up are greater (at p < 0.05) than those of the s-tDCS intervention. This trial is the first multisite, fully powered, randomized, double-blind, sham-controlled, crossover study of the effectiveness of tDCS as an adjuvant to behavioral treatment for spoken naming and spelling deficits in individuals with PPA. Specific challenges in designing the protocol are considered.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.024
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.105
Threshold uncertainty score0.353

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.023
Meta-epidemiology (narrow)0.0050.003
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0020.002
Science and technology studies0.0060.002
Scholarly communication0.0020.003
Open science0.0040.002
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.1050.021

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.059
GPT teacher head0.389
Teacher spread0.330 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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