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Record W4407387206 · doi:10.1093/ijnp/pyae059.361

TRANSCRANIAL PULSE STIMULATION (TPS) – NEW PERSPECTIVES IN TREATMENT OF DEMENTIA IN ALZHEIMER’S DISEASE?

2025· article· en· W4407387206 on OpenAlexaboutno aff
Marc Ziegenbein, C. A. Penkov, Vanessa Rößner-Ruff, Kerstin Friedrich, Daniel Clark

Bibliographic record

VenueThe International Journal of Neuropsychopharmacology · 2025
Typearticle
Languageen
FieldNeuroscience
TopicTranscranial Magnetic Stimulation Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDementiaTranscranial magnetic stimulationMedicineAlzheimer's diseaseStimulationNeurosciencePhysical medicine and rehabilitationDiseasePsychologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Dementia is one of the most common mental illnesses. The impairment of a normal symptom-free life according to DALY is, next to depression, the second most pronounced with deficits in social and everyday behaviour. Early and adequate treatment is of high relevance. Dementia in Alzheimer's disease is often associated with depressive symptoms. A psychiatric clinic in Lower Saxony (Wahrendorff clinic, Germany) has focused on treating patients with this diagnosis as early as possible on an outpatient basis. For this purpose TPS is used. With the aim of releasing growth factors and contributing an improvement in cerebral blood flow, low-frequency sound pulses are introduced into brain regions in order to promote and maintain cognitive performance. Some studies have found positive effects, although more research is needed. The aim of the current study is to investigate the development of cognitive performance and depressive symptom severity over the course of treatment with TPS, focus on the question if there is an improvement. Methods Cognitive performance (Montreal Cognitive Assessment, MOCA) and depressive symptom severity (Geriatric Depression Scale, GDS) are assessed at the beginning of the treatment (t1) and every three months during the course of treatment from patients with a diagnosis of Dementia in Alzheimer's disease who have undergone treatment with TPS since june 2021 (n = 80) in the outpatient setting of Wahrendorff clinic. In this study a follow-up until 9 months of treatment (t3) should be considered. Results Analysis of variance with repeated measurement show a minimal increase in mean values of MOCA from the different measurement points, without statistical significance (mean value MOCA t1 = 12.94 vs. t2 = 13.05, p n.s.). Analysis of variance with repeated measurement show that there is a statistical significant difference in the mean values of GDS from the different measurement points with a decrease of depressive symptom severity (mean value GDS t1 = 8.91 vs. t2 = 6.72, p less than 0.05). Conclusion Results suggest that TPS could lead to maintaining the cognitive performance of patients with Dementia in Alzheimer's disease over the course of treatment. Futhermore treatment with TPS could lead to an improvement of depressive symptom severity. The TPS might be helpful in the treatment of Dementia in Alzheimer's disease and its symptoms and might give new perspectives in the treatment, especially as patients report high treatment tolerance and few side effects. Further data should be collected so the study is being continued and not yet concluded.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.064
GPT teacher head0.383
Teacher spread0.319 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations0
Published2025
Admission routes1
Has abstractyes

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