Evidence map›Paper›PMID 30233297›Full record

ArticleFrontiers in neuroscience2018

Nucleus Basalis of Meynert Stimulation for Dementia: Theoretical and Technical Considerations.

Deepak Kumbhare, Viktoras Palys, Jamie Toms, Chathurika S Wickramasinghe, Kasun Amarasinghe, Milos Manic, Evan Hughes, Kathryn L Holloway

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03959124 (The Effect of Deep Brain Stimulation on Memory Network and Neurological Function of Alzheimer's Disease), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.7field-weighted citation impact, top 17% 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.

NCT03959124 naunknown statusnot on this mapstarted 2020, after this paper: background citation

The Effect of Deep Brain Stimulation on Memory Network and Neurological Function of Alzheimer's Disease

TypeinterventionalSponsorBuddhist Tzu Chi General HospitalRan2020 to 2021Enrolled30ConditionsAlzheimer Disease, Dementia, Alzheimer Type, Deep Brain StimulationArmsDeep brain stimulation, Best medical treatment for Alzheimer's disease
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 37 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Deepak KumbhareDepartment of Neurosurgery, Virginia Commonwealth University Health System, Richmond, VA, United States.
Viktoras PalysDepartment of Neurosurgery, Virginia Commonwealth University Health System, Richmond, VA, United States.
Jamie TomsDepartment of Neurosurgery, Virginia Commonwealth University Health System, Richmond, VA, United States.
Chathurika S WickramasingheDepartment of Computer Science, Virginia Commonwealth University, Richmond, VA, United States.
Kasun AmarasingheDepartment of Computer Science, Virginia Commonwealth University, Richmond, VA, United States.
Milos ManicDepartment of Computer Science, Virginia Commonwealth University, Richmond, VA, United States.
Evan HughesSchool of Medicine, Virginia Commonwealth University, Richmond, VA, United States.
Kathryn L HollowayDepartment of Neurosurgery, Virginia Commonwealth University Health System, Richmond, VA, United States.
Virginia Commonwealth University · USUniversity Health System · USHunter Holmes McGuire VA Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep brain stimulation (DBS) of nucleus basalis of Meynert (NBM) is currently being evaluated as a potential therapy to improve memory and overall cognitive function in dementia. Although, the animal literature has demonstrated robust improvement in cognitive functions, phase 1 trial results in humans have not been as clear-cut. We hypothesize that this may reflect differences in electrode location within the NBM, type and timing of stimulation, and the lack of a biomarker for determining the stimulation's effectiveness in real time. In this article, we propose a methodology to address these issues in an effort to effectively interface with this powerful cognitive nucleus for the treatment of dementia. Specifically, we propose the use of diffusion tensor imaging to identify the nucleus and its tracts, quantitative electroencephalography (QEEG) to identify the physiologic response to stimulation during programming, and investigation of stimulation parameters that incorporate the phase locking and cross frequency coupling of gamma and slower oscillations characteristic of the NBM's innate physiology. We propose that modulating the baseline gamma burst stimulation frequency, specifically with a slower rhythm such as theta or delta will pose more effective coupling between NBM and different cortical regions involved in many learning processes.

Indexed as

basal nucleus of Meynertdeep brain stimulationdiffusion tensor imagingneuronal oscillationsParkinson’s disease dementiaquantitative electroencephalography

Identifiers

PMID30233297
PMCPMC6130053
OpenAlexW2889539445

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.