Evidence map›Paper›PMID 39909565›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2025

Volitional Regulation and Transferable Patterns of Midbrain Oscillations.

Hung-Yun Lu 呂宏耘, Yi Zhao 趙懿, Hannah M Stealey, Cole R Barnett, Philippe N Tobler, Samantha R Santacruz

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2025. 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
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.

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

6 authors.

Hung-Yun Lu 呂宏耘Department of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712.ORCID 0000-0002-8951-773X
Yi Zhao 趙懿Department of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712.
Hannah M StealeyDepartment of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712.
Cole R BarnettDepartment of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712.
Philippe N ToblerDepartment of Economics, University of Zurich, Zurich CH-8006, Switzerland.
Samantha R SantacruzDepartment of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712 santacruz@utexas.edu.

Funding

Comprehensive Training Program in Imaging Science and InformaticsT32EB007507 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI MARKEY, MIA K, RYLANDER, HENRY GRADY · 2009 to 2024
$2.7M
NIBIB NIH HHS T32 EB007507
6 · The paper itself

Abstract

Dopaminergic brain areas are crucial for cognition and their dysregulation is linked to neuropsychiatric disorders typically treated with pharmacological interventions. These treatments often have side effects and variable effectiveness, underscoring the need for alternatives. We introduce the first demonstration of neurofeedback using local field potentials (LFP) from the ventral tegmental area (VTA). This approach leverages the real-time temporal resolution of LFP and ability to target deep brain. In our study, two male rhesus macaque monkeys (Macaca mulatta) learned to regulate VTA beta power using a customized normalized metric to stably quantify VTA LFP signal modulation. The subjects demonstrated flexible and specific control with different strategies for specific frequency bands, revealing new insights into the plasticity of VTA neurons contributing to oscillatory activity that is functionally relevant to many aspects of cognition. Excitingly, the subjects showed transferable patterns, a key criterion for clinical applications beyond training settings. This work provides a foundation for neurofeedback-based treatments, which may be a promising alternative to conventional approaches and open new avenues for understanding and managing neuropsychiatric disorders.

Indexed as

Beta RhythmMesencephalonNeurofeedbackVentral Tegmental AreaVolitionAnimalsMacaca mulattaMalemidbrainneurofeedbackventral tegmental area

Identifiers

PMID39909565
PMCPMC11949472

What OpenQuestion holds

Textmetadata
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.