BRAIN Initiative: Exploratory Team-Research BRAIN Circuit Programs - eTeamBCP (U01 Clinical Trial Not Allowed) | RFA NS 18 029

Frequently Asked Questions (FAQs)

1) What is the eTeamBCP funding opportunity (RFA-NS-18-029)?

The BRAIN Initiative: Exploratory Team-Research BRAIN Circuit Programs (eTeamBCP) opportunity (RFA-NS-18-029) is an NIH funding opportunity that uses a cooperative agreement mechanism (U01). It is designed to accelerate large-scale, circuit-level neuroscience by supporting tightly integrated teams working around a focused biological question.

2) What is the overall scientific purpose of this program?

The program aims to improve how scientists record from, perturb (manipulate), and interpret activity across distributed neural circuits that span multiple brain regions. It emphasizes understanding how dynamic neural activity patterns contribute to behavioral functions or specific neural systems.

3) What type of award mechanism is used, and why does it matter?

This opportunity uses an NIH cooperative agreement (U01). Compared with a standard research grant, the cooperative agreement indicates substantial involvement by NIH program staff in oversight and coordination. The description emphasizes milestone-driven progress and alignment with broader BRAIN Initiative goals.

4) Are clinical trials allowed under this FOA?

No. Clinical trials are not allowed under this funding opportunity announcement. The emphasis is on fundamental circuit mechanisms rather than interventional studies in patients.

5) Is this opportunity focused on basic or clinical neuroscience?

Based on the description provided, it targets exploratory, preclinical or basic neuroscience efforts aimed at understanding circuit mechanisms and linking neural dynamics to behavior or perception, rather than clinical intervention studies.

6) What makes a project competitive according to the description?

Competitive projects are expected to move beyond static descriptions of anatomy or average neural activity. They should test causal and computational ideas about how circuits function, focusing on dynamic patterns of activity and how those patterns contribute to a defined behavioral function or neural system.

7) What does the FOA mean by a “systems approach”?

A systems approach, as described, involves systematically controlling stimuli and/or behavior while simultaneously recording and/or manipulating relevant neural activity patterns, then measuring the resulting changes in behavior and/or perception. The goal is to connect circuit dynamics to observable function in a principled, testable way.

8) What kinds of experimental capabilities does the FOA emphasize?

The FOA emphasizes advanced recording and targeted manipulation of neural activity across distributed circuits and multiple brain regions. Examples mentioned include large-scale electrophysiology or imaging for recording, and opto- or chemogenetic perturbations, patterned stimulation, or other emerging tools for manipulation.

9) Does the program expect causal testing, or is descriptive work enough?

The description emphasizes causal testing and computational interpretation. It explicitly points applicants toward experiments that link designed tasks or ethologically relevant paradigms with recording and targeted perturbation to reveal how circuits operate in real time.

10) What does “dynamic patterns of neural activity” mean in this context?

In this context, it refers to time-varying neural activity across populations and regions (not just static anatomy or averaged responses). The expectation is that applicants will study how these evolving activity patterns contribute to behavior or perception and will test mechanistic ideas about their role in circuit computation.

11) How important is behavior in this FOA?

Behavior is central. The FOA highlights linking neural dynamics to defined behavioral functions and places special weight on sophisticated analysis of complex behavior, including naturalistic or ethologically relevant behaviors.

12) What does the FOA mean by “ethologically relevant” behavior?

It refers to behaviors that are naturalistic or closely aligned with what an organism would do in a real-world or species-typical context. The FOA signals interest in behavioral paradigms that go beyond simplistic tasks when appropriate, paired with rigorous measurement and analysis.

13) What kind of data analysis is expected?

The FOA places special weight on analytical strategies capable of handling high-dimensional neural and behavioral data. It also emphasizes that it is not enough to collect large datasets; applicants must present credible plans to extract interpretable mechanisms through quantitative methods, modeling, and theory that are directly tied to the experimental design.

14) Is theory or computational modeling required or merely optional?

The description strongly emphasizes rigorous analytics and theory and presents an “ideal application” as one where theory helps define what to measure and perturb, analysis methods are chosen to answer mechanistic questions, and experiments generate data that can constrain and test quantitative models. This indicates theory/modeling is a major expected component of competitiveness.

15) What does “multilevel circuit characterization” mean?

It means proposals should include rich circuit characterization across multiple levels, including cell types, circuit connectivity, and circuit functionality. The intent is to connect neural dynamics to the biological substrate (which cell classes are involved, how they are wired, and how information flows across regions) and relate these features to computations that drive behavior.

16) Does the FOA encourage treating the brain as a “black box”?

No. The FOA explicitly signals that applications should not treat the nervous system as a black box. Instead, proposals should connect dynamics to cell types, connectivity, and circuit function.

17) What does “distributed neural circuits spanning multiple brain regions” imply for project scope?

It implies that projects are expected to examine circuit activity and interactions across more than one brain region and to interpret how these distributed components collectively generate behavior or perception.

18) What is meant by “tightly integrated teams”?

The FOA encourages cross-disciplinary, interdependent teams that integrate experimental neuroscience with data science, statistics, engineering, and theoretical/computational neuroscience. The ideal structure is described as a single integrated program rather than several parallel, loosely connected projects.

19) What disciplines does the FOA explicitly encourage teams to include?

It encourages bridging experimental neuroscience with data science, statistics, engineering, and theoretical or computational neuroscience, structured so that the components are genuinely interdependent.

20) How does NIH involvement differ under a cooperative agreement (U01)?

The description indicates NIH program staff will have substantial involvement in oversight and coordination compared with a standard research grant, consistent with milestone-driven progress and coordination with broader BRAIN Initiative goals.

21) What is the intended role of milestones in this program?

The description emphasizes milestone-driven progress. This signals that projects are expected to define and deliver clear progress markers and to coordinate with NIH program staff to ensure programmatic alignment.

22) Is this FOA meant to support fully mature programs or earlier-stage exploration?

It is positioned as a stepping-stone for exploratory studies. The supported work is intended to develop experimental capabilities and quantitative/theoretical frameworks that can enable later competition for larger-scale, multi-component Team-Research BRAIN Circuit Programs (U19).

23) How does this eTeamBCP FOA relate to U19 Team-Research BRAIN Circuit Programs?

According to the description, eTeamBCP is intended to establish feasibility, produce enabling methods or validated pipelines, and build strong team integration around a compelling circuit question, thereby setting teams up to scale into a larger and more complex U19 program later.

24) What kinds of deliverables are implied for an exploratory “stepping-stone” project?

The description implies deliverables such as demonstrated feasibility, enabling methods, validated pipelines, and an integrated experimental-theory-analytics framework that can be expanded into a larger multi-component program.

25) Who issued this funding opportunity?

It was issued by the U.S. Department of Health and Human Services through the National Institutes of Health (NIH).

26) What are the key dates listed for this opportunity?

The creation date is May 17, 2018, and the original closing date is June 10, 2019.

27) How many awards are expected?

The listing indicates an expected number of awards of about five.

28) What is the maximum award amount (award ceiling)?

The award ceiling is shown as 0 in the summary record. As noted in the description, this typically means the ceiling was not specified in the summary listing and applicants would need to refer to the full FOA for budget limits and project period details.

29) Which organizations are eligible to apply?

Eligibility is broad and includes: state, county, and local governments; special district governments; public and private institutions of higher education; independent school districts; federally recognized tribal governments and other tribal organizations; public housing authorities/Indian housing authorities; nonprofit organizations with or without 501(c)(3) status; for-profit organizations other than small businesses; small businesses; and other entities as described in the FOA.

30) Are both nonprofit and for-profit organizations eligible?

Yes. The eligibility list includes nonprofit organizations (with or without 501(c)(3) status) and for-profit organizations other than small businesses, as well as small businesses.

31) Are tribal governments and tribal organizations eligible?

Yes. The eligibility list includes federally recognized tribal governments and other tribal organizations.

32) Are government entities eligible?

Yes. The eligibility list includes state, county, and local governments, as well as special district governments.

33) Are educational entities eligible?

Yes. The eligibility list includes public and private institutions of higher education and independent school districts.

34) Are housing authorities eligible?

Yes. The eligibility list includes public housing authorities/Indian housing authorities.

35) What CFDA numbers are associated with this program?

The program is associated with multiple CFDA numbers: 93.173, 93.213, 93.242, 93.273, 93.279, 93.286, 93.313, 93.853, 93.865, 93.866, 93.867.

36) What do the multiple CFDA numbers imply?

Based on the description provided, the multiple CFDA numbers reflect alignment across several NIH institutes, centers, or funding lines that participate in BRAIN-related activities.

37) What scientific emphasis does the FOA place on interpretation and mechanism?

The FOA emphasizes extracting interpretable mechanisms from complex datasets. It expects rigorous quantitative methods, modeling, and theory that are directly connected to experimental design, with experiments built to test causal and computational ideas about circuit function.

38) Does the FOA prioritize method development, application, or both?

Both. The program seeks to bring teams together to push forward capabilities for recording, perturbing, and interpreting activity across circuits, while also applying those capabilities to answer a focused biological question about circuit dynamics and behavior/perception.

39) What is the “focused biological question” requirement?

The FOA is described as bringing integrated teams together around a focused biological question. The expectation is that the team will align experiments, analytics, and theory toward answering a specific circuit-level question tied to behavior or a defined neural system.

40) What is explicitly not emphasized by this FOA?

Clinical trials are explicitly not allowed, and purely static or descriptive accounts (such as anatomy-only or average activity descriptions) are de-emphasized in favor of dynamic, causal, computationally grounded circuit studies.