Evidence map›Paper›PMID 34959350›Full record

ArticlePharmaceutics2021

Development of an MRI-Compatible Nasal Drug Delivery Method for Probing Nicotine Addiction Dynamics.

Rajat Kumar, Lilianne R Mujica-Parodi, Michael Wenke, Anar Amgalan, Andrew Lithen, Sindhuja T Govindarajan, Rany Makaryus, Helene Benveniste, Helmut H Strey

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 83% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 2 institutions in 1 country.

Rajat KumarDepartment of Biomedical Engineering, Stony Brook University School of Medicine, Stony Brook, NY 11794, USA.
Lilianne R Mujica-ParodiDepartment of Biomedical Engineering, Stony Brook University School of Medicine, Stony Brook, NY 11794, USA.ORCID 0000-0002-3752-5519
Michael WenkeDepartment of Biomedical Engineering, Stony Brook University School of Medicine, Stony Brook, NY 11794, USA.
Anar AmgalanDepartment of Biomedical Engineering, Stony Brook University School of Medicine, Stony Brook, NY 11794, USA.
Andrew LithenDepartment of Biomedical Engineering, Stony Brook University School of Medicine, Stony Brook, NY 11794, USA.
Sindhuja T GovindarajanDepartment of Biomedical Engineering, Stony Brook University School of Medicine, Stony Brook, NY 11794, USA.ORCID 0000-0003-1741-0906
Rany MakaryusDepartment of Anesthesiology, Stony Brook University School of Medicine, Stony Brook, NY 11794, USA.
Helene BenvenisteDepartment of Anesthesiology, Stony Brook University School of Medicine, Stony Brook, NY 11794, USA.
Helmut H StreyDepartment of Biomedical Engineering, Stony Brook University School of Medicine, Stony Brook, NY 11794, USA.ORCID 0000-0002-6554-5322
Stony Brook University · USMassachusetts General Hospital · US

Funding

NIH HHS 3R2DA3846702S1
6 · The paper itself

Abstract

Substance abuse is a fundamentally dynamic disease, characterized by repeated oscillation between craving, drug self-administration, reward, and satiety. To model nicotine addiction as a control system, a magnetic resonance imaging (MRI)-compatible nicotine delivery system is needed to elicit cyclical cravings. Using a concentric nebulizer, inserted into one nostril, we delivered each dose equivalent to a single cigarette puff by a syringe pump. A control mechanism permits dual modes: one delivers puffs on a fixed interval programmed by researchers; with the other, subjects press a button to self-administer each nicotine dose. We tested the viability of this delivery method for studying the brain's response to nicotine addiction in three steps. First, we established the pharmacokinetics of nicotine delivery, using a dosing scheme designed to gradually achieve saturation. Second, we lengthened the time between microdoses to elicit craving cycles, using both fixed-interval and subject-driven behavior. Finally, we demonstrate a potential application of our device by showing that a fixed-interval protocol can reliably identify neuromodulatory targets for pharmacotherapy or brain stimulation. Our MRI-compatible nasal delivery method enables the measurement of neural circuit responses to drug doses on a single-subject level, allowing the development of data-driven predictive models to quantify individual dysregulations of the reward control circuit causing addiction.

Indexed as

brain circuitnasal drug delivery devicenicotine addition

Identifiers

PMID34959350
PMCPMC8708378
OpenAlexW4200163322

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.