Collaborative Opportunities for Multiple-disciplinary, Bold, and Innovative Neuroscience (COMBINE) (RM1 Clinical Trial Optional) · National Institutes of Health
MEDIUM confidence
Researched 2026-07-22 22:50 · profile: researcher
Programme Thesis
The COMBINE (RM1) program funds bold, multidisciplinary neuroscience research teams to tackle major challenges in brain function and disorders, emphasizing innovative, high-risk approaches that could transform the field. It exists to catalyze collaborative, integrative projects that go beyond incremental advances, often requiring a US-based lead institution.
Selection Criteria
- Overall Impact: Potential to significantly advance neuroscience through novel, multidisciplinary collaboration.
- Significance: Does the project address a critical problem or barrier in neuroscience?
- Innovation: Are the concepts, approaches, or methods novel and potentially transformative?
- Approach: Are the design, methods, and analyses well-reasoned and appropriate?
- Investigators: Are the PD/PIs and collaborators well-suited, with complementary expertise?
- Environment: Does the scientific environment contribute to success (e.g., institutional support, resources)?
- Eligibility: Must include at least two PD/PIs from different disciplines; US-based institution required as lead; foreign components allowed but must demonstrate unique expertise.
Past Winners / Cohort Profiles
Past winners typically involve multi-PI teams (e.g., 2-4 PIs) from US universities or research centers, often combining computational, experimental, and clinical neuroscience. Examples include projects on neural circuit dynamics, brain-machine interfaces, and addiction mechanisms. No specific named winners are listed on the page, but archetypes are established mid-career to senior researchers with strong publication records and prior NIH funding.
Ideal Candidate Fingerprint
The ideal applicant is a US-based mid-career or senior researcher with a track record of interdisciplinary collaboration, leading a team of 2-4 PIs from distinct fields (e.g., computational neuroscience, pharmacology, clinical neurology). They propose a high-risk, high-reward project with clear potential to shift paradigms, supported by preliminary data and a robust experimental plan.
Recommended Framing
Eniola should position himself as a uniquely innovative independent researcher with a validated computational model (CCT) and strong endorsements from leading neuroscientists (Berridge, Gershman, Daw). To meet eligibility, he must partner with a US-based PI (e.g., at University of Michigan or Harvard) who can serve as lead, while he contributes the core theoretical framework and computational expertise. His angle: a bold, multidisciplinary proposal to test CCT in a clinical trial for addiction, leveraging his Bayesian modeling and TDA skills, with a strong Africa-to-global health narrative.
Watch Out
Eligibility: The RM1 requires a US-based lead institution; Eniola is an independent researcher in Nigeria without a US affiliation. He must secure a US collaborator as PI. Also, he lacks a PhD or MSc, which may be seen as a disadvantage for a PI role, but he can be listed as a co-investigator or consultant. No prior NIH funding history may reduce competitiveness.