This entry describes a peer-reviewed article titled “An fMRI-neurofeedback system to train the reward neurocircuitry in ultra-high field MRI: a feasibility study,” published in J Neural Eng. The PubMed record lists the citation as 2026 Aug 26;23(4) with DOI 10.1088/1741-2552/ae93fa and PubMed identifier PMID 42546754. The article is presented as a feasibility study in the title.
The title identifies the clinical and technical focus: development or deployment of an fMRI-neurofeedback system intended to train the reward neurocircuitry while operating inside an ultra-high field MRI environment. As reported in the PubMed record, the work is framed as a feasibility study, indicating the primary objective is likely to evaluate practicality, implementation, or initial performance rather than to provide definitive efficacy data. Specific aims, hypotheses, or endpoint definitions were not included in the PubMed content provided here.
The PubMed entry lists numerous authors, including Amir Hossein Dakhili, Ethan Murphy, Saampras Ganesan, Andrew Zalesky, Rebecca Glarin, Hannah Thomson, Anastasia Paloubis, Tudor Sava, Bradford A Moffat, Valentina Lorenzetti, Govinda Poudel, and Chao Suo, among others. Multiple affiliations are reported across Australian and international institutions. Key institutional groups named in the record include:
The PubMed record indicates shared last authorship among several contributors but does not supply further author-role detail in the provided content.
The PubMed record provides the DOI (10.1088/1741-2552/ae93fa) and PMID (42546754), and lists a full-text link option through IOP Publishing Ltd. The PubMed page includes the publisher link for obtaining the complete article. No abstract text was presented in the source content made available for this rewrite.
The information available from the PubMed record here is limited to bibliographic metadata (title, authors, affiliations, journal, DOI, PMID) and a publisher link. The following important elements were not present in the source content and therefore are not reported here:
Because these elements are absent from the source text, this rewrite does not speculate about methods, outcomes, or conclusions. Readers seeking those specifics should consult the full text via the DOI or publisher link cited in the PubMed record.
The title alone indicates an intersection of three clinically and technically relevant domains: real-time fMRI-neurofeedback, training of brain reward neurocircuitry, and the use of ultra-high field MRI platforms. In general terms—based solely on what the title conveys—such work typically aims to harness high spatial and/or temporal resolution imaging to provide participants or patients with feedback about neural activity in reward-related regions, with potential relevance to disorders involving reward processing. However, because the PubMed record provided here contains no abstract or outcome data, no study-specific implications can be drawn from the source content itself. Any further interpretation of clinical impact, target populations, or translational potential would require the full article text.
The PubMed entry supplies a DOI link (10.1088/1741-2552/ae93fa) and a full-text access option via IOP Publishing Ltd. For complete descriptions of study design, imaging hardware and sequences, neurofeedback implementation, participant characteristics, statistical analyses, feasibility metrics, and study conclusions, consult the publisher’s full text. The PubMed record available here does not include the abstract or other content that would normally summarize those elements.
Note on source limitations
This rewrite preserves only facts that appear in the provided PubMed record. Critical experimental details and results were not present in the displayed source content and therefore are explicitly noted as not reported. No methods, numeric results, or conclusions were inferred or invented beyond the article title and bibliographic metadata shown in the PubMed entry.