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Record W4312849592 · doi:10.1121/10.0015605

Volatile nanodroplets for neurological applications

2022· article· en· W4312849592 on OpenAlexaff
Harriet Lea‐Banks, Sheng‐Kai Wu, Ying Meng, Flavia Venetucci Gouveia, Clement Hamani, Kullervo Hynynen

Bibliographic record

VenueThe Journal of the Acoustical Society of America · 2022
Typearticle
Languageen
FieldNeuroscience
TopicVagus Nerve Stimulation Research
Canadian institutionsMental Health Research CanadaHospital for Sick ChildrenSunnybrook HospitalUniversity of TorontoSickKids FoundationSunnybrook Health Science Centre
Fundersnot available
KeywordsNeuromodulationNeurosciencePentobarbitalFocused ultrasoundMedicineUltrasoundCentral nervous systemComputer sciencePsychologyAnesthesiaRadiology

Abstract

fetched live from OpenAlex

While current neuromodulation techniques are invasive, inaccurate, and/or unable to penetrate deeply, focused ultrasound (FUS) offers a way to study and treat the nervous system that is non-invasive, precise, and able to reach targets deep within the brain. Using ultrasound to trigger the delivery of pharmaceuticals from nanodroplets combines the spatial precision of FUS with the temporal control of psychoactive drugs. Here, I will present our work developing ultrasound-responsive nanodroplets to deliver anesthetics in the brain for neuromodulation. This work has shown how nanodroplets, loaded with pentobarbital, can be vaporized with FUS and inhibit activity in specific brain regions. This platform is now being investigated for the treatment of several neurological and psychiatric disorders, including agitation and aggression in a model of Alzheimer’s disease.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.912
Threshold uncertainty score0.652

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.042
GPT teacher head0.321
Teacher spread0.279 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of the Acoustical Society of AmericaSame topicVagus Nerve Stimulation ResearchFrench-language works237,207