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Record W2948873930 · doi:10.1101/665471

Transcranial Pulse Stimulation with Ultrasound in Alzheimer’s disease – A new navigated focal brain therapy

2019· preprint· en· W2948873930 on OpenAlexaff
Roland Beisteiner, Eva Matt, Ching‐Hsiang Fan, Heike Baldysiak, Marleen Schönfeld, Tabea Philippi Novak, Ahmad Amini, Tuna Stefan Aslan, Raphael Reinecke, Johann Lehrner, Alexandra Weber, U. Reime, Cédric Goldenstedt, Ernst Marlinghaus, Mark Hallett, H. Lohse-Busch

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2019
Typepreprint
Languageen
FieldEngineering
TopicUltrasound and Hyperthermia Applications
Canadian institutionsCentre for Movement Disorders
FundersNational Institute of Neurological Disorders and StrokeUniversität WienMedizinische Universität WienAustrian Science Fund
KeywordsTolerabilityMedicineNeuropsychologyStimulationBrain stimulationFocused ultrasoundTranscranial direct-current stimulationClinical trialUltrasoundNeurosciencePsychologyRadiologyAdverse effectPathologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Ultrasound-based brain stimulation techniques offer an exciting potential to modulate the human brain in a highly focal and precisely targeted manner. However, for clinical applications the current techniques have to be further developed. We introduce a new ultrasound stimulation technique, based on single ultrashort ultrasound pulses (transcranial pulse stimulation, TPS) and describe a first navigable clinical TPS system. Feasibility, safety and preliminary (uncontrolled) efficacy data in Alzheimer’s disease (AD) are provided. Simulation data, in vitro measurements with rat and human skulls/brains and clinical data in 35 AD patients were acquired in a multicentric setting (including CERAD scores and functional MRI). Preclinical results show large safety margins and patient results show high treatment tolerability. Neuropsychological scores improved significantly when tested immediately as well as 1 and 3 months after stimulation and fMRI data displayed significant connectivity increases within the memory network. The results encourage broad neuroscientific application and translation of the new method to clinical therapy and randomized sham-controlled studies.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.859
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.218
Teacher spread0.204 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations17
Published2019
Admission routes1
Has abstractyes

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