Evidence map›Paper›PMID 33781923›Full record

ArticleNeurobiology of disease2021

Anticipatory human subthalamic area beta-band power responses to dissociable tastes correlate with weight gain.

Bina Kakusa, Yuhao Huang, Daniel A N Barbosa, Austin Feng, Sandra Gattas, Rajat Shivacharan, Eric B Lee, Fiene M Kuijper, Sabir Saluja, Jonathon J Parker and 4 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Neurobiology of disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07518927 (Mapping Low-Intensity Focused Ultrasound), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 38% 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.

NCT07518927 naenrolling by invitationnot on this mapstarted 2026, after this paper: background citation

Mapping Low-Intensity Focused Ultrasound (LIFU)-Evoked Brain Network Responses Using Intracranial Electrophysiological Recordings

TypeinterventionalSponsorUniversity of PennsylvaniaRan2026 to 2031Enrolled30ConditionsLow Intensity Focussed Ultrasound, Electrodes, ImplantedArmsLow Intensity Focused Ultrasound
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

14 authors at 2 institutions in 1 country.

Bina KakusaDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Yuhao HuangDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Daniel A N BarbosaDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Austin FengDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Sandra GattasDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Rajat ShivacharanDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Eric B LeeDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Fiene M KuijperDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Sabir SalujaDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Jonathon J ParkerDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Kai J MillerDepartment of Neurosurgery, Mayo Clinic, Rochester, MN, 55905, USA.
Corey KellerDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Cara BohonDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Casey H HalpernDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA, 94305, USA. Electronic address: chalpern@stanford.edu.
Stanford University · USMayo Clinic in Arizona · US

Funding

Neocortical-Hippocampal Circuits Underlying Pattern Separation in HumansF30AG069406 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI GATTAS, SANDRA · 2020 to 2023
$136k
NIA NIH HHS F30 AG069406
6 · The paper itself

Abstract

The availability of enticing sweet, fatty tastes is prevalent in the modern diet and contribute to overeating and obesity. In animal models, the subthalamic area plays a role in mediating appetitive and consummatory feeding behaviors, however, its role in human feeding is unknown. We used intraoperative, subthalamic field potential recordings while participants (n = 5) engaged in a task designed to provoke responses of taste anticipation and receipt. Decreased subthalamic beta-band (15-30 Hz) power responses were observed for both sweet-fat and neutral tastes. Anticipatory responses to taste-neutral cues started with an immediate decrease in beta-band power from baseline followed by an early beta-band rebound above baseline. On the contrary, anticipatory responses to sweet-fat were characterized by a greater and sustained decrease in beta-band power. These activity patterns were topographically specific to the subthalamic nucleus and substantia nigra. Further, a neural network trained on this beta-band power signal accurately predicted (AUC ≥ 74%) single trials corresponding to either taste. Finally, the magnitude of the beta-band rebound for a neutral taste was associated with increased body mass index after starting deep brain stimulation therapy. We provide preliminary evidence of discriminatory taste encoding within the subthalamic area associated with control mechanisms that mediate appetitive and consummatory behaviors.

Indexed as

AgedAnticipation, PsychologicalBeta RhythmCuesDeep Brain StimulationFemaleHumansMaleMiddle AgedParkinson DiseasePhotic StimulationSubthalamic NucleusTasteTaste PerceptionWeight GainArtificial neural networkBeta-band powerBody-mass indexDeep brain stimulationElectrophysiologyFeeding behaviorParkinson's diseaseSubthalamic area

Identifiers

PMID33781923
PMCPMC9208339
OpenAlexW3145949382

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.