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Top 10 Health Funding Organizations

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Biomedical research has evolved over the past few decades and, together with genetics, comprises one of the most investigated healthcare fields in the world. Biomedical advancement is not possible without research and development (R&D), which in turn, thrives upon funding, grants, and subsidy. A number of government, private and global organizations are philanthropic in nature and constantly funding healthcare R&D throughout the world. All it takes is the right cause to be identified by the funding organizations so that it can be pursued for the great benefit of humankind.

There are many organizations worldwide that are actively supporting researchers and medical experts to help pursue and fund their research. Funding medical research, however, is not a new phenomenon; these organizations have been around for many years. The practice finds its traces in the past century. One of the oldest and the most eminent health funding organizations is the National Institutes of Health (NIH) – founded in 1887 in New York City, USA.

Let us discuss the top 10 health funding organizations to know more about the status, accomplishments, and expenditure.

 

1. National Institutes of Health (NIH)

The NIH, by far, is the biggest health funding organization in the U.S and the world. It spends millions to ensure uninterrupted research and development of novel medical technology, and diagnostic modalities to improve lives.

In 2013, the NIH spent $26,081.3 million on healthcare research – the highest for any institute.

The NIH has roots in history; it has been around for more than 100 years. Healthcare owes its success to the organization per se. One of the specific reasons why NIH makes it on the top and possibly the most sought funding organization in the U.S. is due to its funding model. The NIH extensively covers research in all fields of health, and most of its research is extramural. Strictly speaking, the funding model follows a somewhat untargeted approach and, therefore, doesn’t strictly prioritize a specific area of research.

 

2. European Commission (EC)

The European Commission (EC) stands second in the top 10 health funding organizations. The EC itself is not limited to health funding organizations, in fact, its two sub-programs are involved with health-related research: FP7 – Cooperation program – Health theme/Health Directorate and European Research Council (ERC).

These two sub-programs fall under the public category, and in 2013, the total expenditure of the EC was $3717.7 million, out of which $1181.7 was spend by FP7 and $783.4 by ERC. Both sub-programs are extramural, but the difference emerges in the model of funding employed by each subprogram. FP7 calls for targeted funding and allows only prioritized fields of health-related research. On the contrary, the ERC follows an untargeted approach.

 

3. UK Medical Research Council (MRC)

The UK Medical Research Council (MRC) is one of the oldest health funding organizations after the NIH and the third-largest funding organization. In 2017/18, the MRC dedicated approximately £814.1 million for biomedical research.

As far as the targeted researchers go, the MRC welcomes both intramural and extramural research work, therefore, encouraging the medical professionals not only from the UK but across the globe. As far as the funding model of MRC is concerned, it follows a mixed approach, i.e., it allows both untargeted and targeted areas, allowing broad areas of the medical field to be placed under untargeted areas.

 

4. Institut National De La Santé et De La Recherché Médicale (INSERM)

The Inserm, a French medical research public funding institute, falls fourth on the list. In 2013, the total expenditure of Inserm in the field of research amounted to $1042.1 million. The Inserm, though European, upholds different standards with respect to other European funding institutes in terms of granting the funds, i.e., it is purely intramural.

 

5. United States Department of Defense (US DoD)

The United States Department of Defense (US DoD) addresses health funding via the Congressionally Directed Medical Research Program (CDMRP), which is a public funding organization. Though the US DoD organizes 14 research programs, the only available figures of the expenditure are provided of CDMRP.

According to the 2012 statistics, $409.0 million were spent by CDMRP in pursuing health-related research, whereas the total expenditure of the US DoD was $1017.7 million. Since the CDMRP expenses have been publically declared, it must be mentioned that CDMRP is largely extramural and rarely accepts intramural opportunities. The funding mechanism includes untargeted but prioritized research topics, as well as targeted research on a small scale.

 

6. Wellcome Trust

The Wellcome Trust is a philanthropic organization situated in the Great Britain Republic. According to the 2013 statistics, the Wellcome Trust managed to spend $909.1 million on health-related research. As per statistics, the Wellcome Trust mainly invests in extramural research though it does not exclude intramural research. Furthermore, the funding mechanism of the Wellcome Trust is designed to encourage the untargeted approach, but it also welcomes small-scale targeted research.

 

7. Canadian Institutes of Health Research (CIHR)

The CIHR is a public funding organization based in Canada and stands 7th in the list of top 10 health funding organization. Reports from 2012 reveal that CIHR’s total expenditure in health research $883.6 million. The CIHR involves purely extramural research, and according to the data provided, the CIHR focuses on both targeted and untargeted research, but prefers and highly prioritizes untargeted research while selectively choosing targeted research.

 

8. Australian National Health and Medical Research Council (NHMRC)

NHMRC is public health funding organizations based in Australia. In 2013, the total expenditure of NHMRC was $777.6 million. Like most of the organizations present in the list, the NHMRC too relies on extramural researchers and prioritizes mainly untargeted research, albeit it keeps some space for targeted research on a small scale as well.

 

9. Howard Hughes Medical Institute (HHMI)

The Howard Hughes Medical Institute is one of the many funding organizations of the U.S. It is basically a philanthropic organization. In 2013, this organization spent $752.0 million on health research.

As far as the distribution mechanism goes, it must be mentioned here that the HHMI is extramural, but it funds intramural research as well. All of the researchers represent various universities and research institutes, with the exception of the Janelia Research Campus (one of the HHMI’s institutes). Furthermore, the funding mechanism of the HHMI is strictly untargeted and does not mention any priorities related to targeted research.

 

10. Deutsche Forschungsgemeinschaft/German Research Foundation (GFR)

The GFR, a German research foundation, is another European health funding institute. Statistics from 2012 reveal that the GFR managed to spend $630.6 million on health research.

Its distribution mechanism further reveals that the GFR is only extramural. However, as far as its funding mechanism goes, it relies on a mixed approach. It prefers both untargeted and targeted research but prioritizes untargeted research and focuses itself on funding smaller targeted research.

While the aforementioned institutes were ranked on the basis of their expenditure, it is also important to mention other notable institutes and organizations that help fund biomedical and health research. The Official Development Agencies (ODA) have played a significant role in empowering research development all over the world. Though the expenditures of ODA agencies are not as much as that of the aforementioned organizations, they are sought by medical professionals all around the world to help fund their research.

As far as the ODA agencies go, the top three funding organizations include the United States Agency for International Development (USAID) with the total expenditure of $184.4 million in 2012; the UK Department for International Development (DFID) covering $97.5 million in 2014; and Grand Challenges Canada $46.3 million in 2013.

Multilateral organizations can be found in health research. It must be mentioned here that like the ODA, multilateral organizations are not limited to health funding only. For instance, the USAID offers programs that cover not just health-related research and projects but also focus on education, gender equality, women empowerment, energy, etc. Multilateral organizations, on the other hand, may or may not always grant funds on health research, but some do tend to focus their funding on health projects and research. Funding for a health-based project holds different criteria and benchmarks.

Multilateral organizations that help fund health research include the World Health Organization (WHO) which, according to the available statistics from 2006, spent $135.0 million.

The World Bank in 2011 funded $2.1 million for health-related research. There are also other organizations such as the UNAIDS, UNITAIDS, as well as, Global Fund to Fight AIDS, Tuberculosis, and Malaria, but due to the unavailability of the data, their expenditure cannot be shared. Needless to say, these organizations play a vital role in funding health research all around the world and also fund projects that help improve the living standard of people with poor health conditions.

In conclusion, every health funding organization values different standards. Regardless of intramural or extramural research; research priorities; or the fact that how much expenditure is spent by organizations, it all comes down to the field of research for which the funding is being applied. Every organization prioritizes its own field of health research which can be as diverse as one can imagine, which is why applying for funds in these organizations requires high merit and considerable dedication from the researcher’s end.

 

References
  1. Viergever, R.F., & Hendriks, T.C.C. (2016, Feb 18). The 10 largest public and philanthropic funders of health research in the world: what they fund and how they distribute their funds. Health Research and Policy system 14, 12. doi: https://dx.doi.org/10.1186%2Fs12961-015-0074-z
  2. Allen L, Gardner C, Guzman J, Moran M, Terry RF, & Viergever RF. (2012) Mapping global health research investments, time for new thinking – A Babel Fish for research data. Health Res Policy Syst, 10, 28. http://dx.doi.org/10.1186/1478-4505-10-28.
  3. Buterbaugh, K., Perl, M., & Sampat, B.N. (2013) New evidence on the allocation of NIH funds across diseases. Milbank Q, 91, 163–85. http://dx.doi.org/10.1111/milq.12005.
  4. Dorsey, E.R., Gillum, L.A., Gouveia, C., Johnston S.C., Mathers, C.D., McCulloch, C.E.,…Pletcher, M., (2011, February 24) NIH disease funding levels and burden of disease. PLoS One, 6:e16837. http://dx.doi.org/10.1371/journal.pone.0016837

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Introduction

In behavioral neuroscience, the Open Field Test (OFT) remains one of the most widely used assays to evaluate rodent models of affect, cognition, and motivation. It provides a non-invasive framework for examining how animals respond to novelty, stress, and pharmacological or environmental manipulations. Among the test’s core metrics, the percentage of time spent in the center zone offers a uniquely normalized and sensitive measure of an animal’s emotional reactivity and willingness to engage with a potentially risky environment.

This metric is calculated as the proportion of time spent in the central area of the arena—typically the inner 25%—relative to the entire session duration. By normalizing this value, researchers gain a behaviorally informative variable that is resilient to fluctuations in session length or overall movement levels. This makes it especially valuable in comparative analyses, longitudinal monitoring, and cross-model validation.

Unlike raw center duration, which can be affected by trial design inconsistencies, the percentage-based measure enables clearer comparisons across animals, treatments, and conditions. It plays a key role in identifying trait anxiety, avoidance behavior, risk-taking tendencies, and environmental adaptation, making it indispensable in both basic and translational research contexts.

Whereas simple center duration provides absolute time, the percentage-based metric introduces greater interpretability and reproducibility, especially when comparing different animal models, treatment conditions, or experimental setups. It is particularly effective for quantifying avoidance behaviors, risk assessment strategies, and trait anxiety profiles in both acute and longitudinal designs.

What Does Percentage of Time in the Centre Measure?

This metric reflects the relative amount of time an animal chooses to spend in the open, exposed portion of the arena—typically defined as the inner 25% of a square or circular enclosure. Because rodents innately prefer the periphery (thigmotaxis), time in the center is inversely associated with anxiety-like behavior. As such, this percentage is considered a sensitive, normalized index of:

  • Exploratory drive vs. risk aversion: High center time reflects an animal’s willingness to engage with uncertain or exposed environments, often indicative of lower anxiety and a stronger intrinsic drive to explore. These animals are more likely to exhibit flexible, information-gathering behaviors. On the other hand, animals that spend little time in the center display a strong bias toward the safety of the perimeter, indicative of a defensive behavioral state or trait-level risk aversion. This dichotomy helps distinguish adaptive exploration from fear-driven avoidance.

  • Emotional reactivity: Fluctuations in center time percentage serve as a sensitive behavioral proxy for changes in emotional state. In stress-prone or trauma-exposed animals, decreased center engagement may reflect hypervigilance or fear generalization, while a sudden increase might indicate emotional blunting or impaired threat appraisal. The metric is also responsive to acute stressors, environmental perturbations, or pharmacological interventions that impact affective regulation.

  • Behavioral confidence and adaptation: Repeated exposure to the same environment typically leads to reduced novelty-induced anxiety and increased behavioral flexibility. A rising trend in center time percentage across trials suggests successful habituation, reduced threat perception, and greater confidence in navigating open spaces. Conversely, a stable or declining trend may indicate behavioral rigidity or chronic stress effects.

  • Pharmacological or genetic modulation: The percentage of time in the center is widely used to evaluate the effects of pharmacological treatments and genetic modifications that influence anxiety-related circuits. Anxiolytic agents—including benzodiazepines, SSRIs, and cannabinoid agonists—reliably increase center occupancy, providing a robust behavioral endpoint in preclinical drug trials. Similarly, genetic models targeting serotonin receptors, GABAergic tone, or HPA axis function often show distinct patterns of center preference, offering translational insights into psychiatric vulnerability and resilience.

Critically, because this metric is normalized by session duration, it accommodates variability in activity levels or testing conditions. This makes it especially suitable for comparing across individuals, treatment groups, or timepoints in longitudinal studies.

A high percentage of center time indicates reduced anxiety, increased novelty-seeking, or pharmacological modulation (e.g., anxiolysis). Conversely, a low percentage suggests emotional inhibition, behavioral avoidance, or contextual hypervigilance. reduced anxiety, increased novelty-seeking, or pharmacological modulation (e.g., anxiolysis). Conversely, a low percentage suggests emotional inhibition, behavioral avoidance, or contextual hypervigilance.

Behavioral Significance and Neuroscientific Context

1. Emotional State and Trait Anxiety

The percentage of center time is one of the most direct, unconditioned readouts of anxiety-like behavior in rodents. It is frequently reduced in models of PTSD, chronic stress, or early-life adversity, where animals exhibit persistent avoidance of the center due to heightened emotional reactivity. This metric can also distinguish between acute anxiety responses and enduring trait anxiety, especially in longitudinal or developmental studies. Its normalized nature makes it ideal for comparing across cohorts with variable locomotor profiles, helping researchers detect true affective changes rather than activity-based confounds.

2. Exploration Strategies and Cognitive Engagement

Rodents that spend more time in the center zone typically exhibit broader and more flexible exploration strategies. This behavior reflects not only reduced anxiety but also cognitive engagement and environmental curiosity. High center percentage is associated with robust spatial learning, attentional scanning, and memory encoding functions, supported by coordinated activation in the prefrontal cortex, hippocampus, and basal forebrain. In contrast, reduced center engagement may signal spatial rigidity, attentional narrowing, or cognitive withdrawal, particularly in models of neurodegeneration or aging.

3. Pharmacological Responsiveness

The open field test remains one of the most widely accepted platforms for testing anxiolytic and psychotropic drugs. The percentage of center time reliably increases following administration of anxiolytic agents such as benzodiazepines, SSRIs, and GABA-A receptor agonists. This metric serves as a sensitive and reproducible endpoint in preclinical dose-finding studies, mechanistic pharmacology, and compound screening pipelines. It also aids in differentiating true anxiolytic effects from sedation or motor suppression by integrating with other behavioral parameters like distance traveled and entry count (Prut & Belzung, 2003).

4. Sex Differences and Hormonal Modulation

Sex-based differences in emotional regulation often manifest in open field behavior, with female rodents generally exhibiting higher variability in center zone metrics due to hormonal cycling. For example, estrogen has been shown to facilitate exploratory behavior and increase center occupancy, while progesterone and stress-induced corticosterone often reduce it. Studies involving gonadectomy, hormone replacement, or sex-specific genetic knockouts use this metric to quantify the impact of endocrine factors on anxiety and exploratory behavior. As such, it remains a vital tool for dissecting sex-dependent neurobehavioral dynamics.
The percentage of center time is one of the most direct, unconditioned readouts of anxiety-like behavior in rodents. It is frequently reduced in models of PTSD, chronic stress, or early-life adversity. Because it is normalized, this metric is especially helpful for distinguishing between genuine avoidance and low general activity.

Methodological Considerations

  • Zone Definition: Accurately defining the center zone is critical for reliable and reproducible data. In most open field arenas, the center zone constitutes approximately 25% of the total area, centrally located and evenly distanced from the walls. Software-based segmentation tools enhance precision and ensure consistency across trials and experiments. Deviations in zone parameters—whether due to arena geometry or tracking inconsistencies—can result in skewed data, especially when calculating percentages.

     

  • Trial Duration: Trials typically last between 5 to 10 minutes. The percentage of time in the center must be normalized to total trial duration to maintain comparability across animals and experimental groups. Longer trials may lead to fatigue, boredom, or habituation effects that artificially reduce exploratory behavior, while overly short trials may not capture full behavioral repertoires or response to novel stimuli.

     

  • Handling and Habituation: Variability in pre-test handling can introduce confounds, particularly through stress-induced hypoactivity or hyperactivity. Standardized handling routines—including gentle, consistent human interaction in the days leading up to testing—reduce variability. Habituation to the testing room and apparatus prior to data collection helps animals engage in more representative exploratory behavior, minimizing novelty-induced freezing or erratic movement.

     

  • Tracking Accuracy: High-resolution tracking systems should be validated for accurate, real-time detection of full-body center entries and sustained occupancy. The system should distinguish between full zone occupancy and transient overlaps or partial body entries that do not reflect true exploratory behavior. Poor tracking fidelity or lag can produce significant measurement error in percentage calculations.

     

  • Environmental Control: Uniformity in environmental conditions is essential. Lighting should be evenly diffused to avoid shadow bias, and noise should be minimized to prevent stress-induced variability. The arena must be cleaned between trials using odor-neutral solutions to eliminate scent trails or pheromone cues that may affect zone preference. Any variation in these conditions can introduce systematic bias in center zone behavior. Use consistent definitions of the center zone (commonly 25% of total area) to allow valid comparisons. Software-based segmentation enhances spatial precision.

Interpretation with Complementary Metrics

Temporal Dynamics of Center Occupancy

Evaluating how center time evolves across the duration of a session—divided into early, middle, and late thirds—provides insight into behavioral transitions and adaptive responses. Animals may begin by avoiding the center, only to gradually increase center time as they habituate to the environment. Conversely, persistently low center time across the session can signal prolonged anxiety, fear generalization, or a trait-like avoidance phenotype.

Cross-Paradigm Correlation

To validate the significance of center time percentage, it should be examined alongside results from other anxiety-related tests such as the Elevated Plus Maze, Light-Dark Box, or Novelty Suppressed Feeding. Concordance across paradigms supports the reliability of center time as a trait marker, while discordance may indicate task-specific reactivity or behavioral dissociation.

Behavioral Microstructure Analysis

When paired with high-resolution scoring of behavioral events such as rearing, grooming, defecation, or immobility, center time offers a richer view of the animal’s internal state. For example, an animal that spends substantial time in the center while grooming may be coping with mild stress, while another that remains immobile in the periphery may be experiencing more severe anxiety. Microstructure analysis aids in decoding the complexity behind spatial behavior.

Inter-individual Variability and Subgroup Classification

Animals naturally vary in their exploratory style. By analyzing percentage of center time across subjects, researchers can identify behavioral subgroups—such as consistently bold individuals who frequently explore the center versus cautious animals that remain along the periphery. These classifications can be used to examine predictors of drug response, resilience to stress, or vulnerability to neuropsychiatric disorders.

Machine Learning-Based Behavioral Clustering

In studies with large cohorts or multiple behavioral variables, machine learning techniques such as hierarchical clustering or principal component analysis can incorporate center time percentage to discover novel phenotypic groupings. These data-driven approaches help uncover latent dimensions of behavior that may not be visible through univariate analyses alone.

Total Distance Traveled

Total locomotion helps contextualize center time. Low percentage values in animals with minimal movement may reflect sedation or fatigue, while similar values in high-mobility subjects suggest deliberate avoidance. This metric helps distinguish emotional versus motor causes of low center engagement.

Number of Center Entries

This measure indicates how often the animal initiates exploration of the center zone. When combined with percentage of time, it differentiates between frequent but brief visits (indicative of anxiety or impulsivity) versus fewer but sustained center engagements (suggesting comfort and behavioral confidence).

Latency to First Center Entry

The delay before the first center entry reflects initial threat appraisal. Longer latencies may be associated with heightened fear or low motivation, while shorter latencies are typically linked to exploratory drive or low anxiety.

Thigmotaxis Time

Time spent hugging the walls offers a spatial counterbalance to center metrics. High thigmotaxis and low center time jointly support an interpretation of strong avoidance behavior. This inverse relationship helps triangulate affective and motivational states.

Applications in Translational Research

  • Drug Discovery: The percentage of center time is a key behavioral endpoint in the development and screening of anxiolytic, antidepressant, and antipsychotic medications. Its sensitivity to pharmacological modulation makes it particularly valuable in dose-response assessments and in distinguishing therapeutic effects from sedative or locomotor confounds. Repeated trials can also help assess drug tolerance and chronic efficacy over time.
  • Genetic and Neurodevelopmental Modeling: In transgenic and knockout models, altered center percentage provides a behavioral signature of neurodevelopmental abnormalities. This is particularly relevant in the study of autism spectrum disorders, ADHD, fragile X syndrome, and schizophrenia, where subjects often exhibit heightened anxiety, reduced flexibility, or altered environmental engagement.
  • Hormonal and Sex-Based Research: The metric is highly responsive to hormonal fluctuations, including estrous cycle phases, gonadectomy, and hormone replacement therapies. It supports investigations into sex differences in stress reactivity and the behavioral consequences of endocrine disorders or interventions.
  • Environmental Enrichment and Deprivation: Housing conditions significantly influence anxiety-like behavior and exploratory motivation. Animals raised in enriched environments typically show increased center time, indicative of reduced stress and greater behavioral plasticity. Conversely, socially isolated or stimulus-deprived animals often show strong center avoidance.
  • Behavioral Biomarker Development: As a robust and reproducible readout, center time percentage can serve as a behavioral biomarker in longitudinal and interventional studies. It is increasingly used to identify early signs of affective dysregulation or to track the efficacy of neuromodulatory treatments such as optogenetics, chemogenetics, or deep brain stimulation.
  • Personalized Preclinical Models: This measure supports behavioral stratification, allowing researchers to identify high-anxiety or low-anxiety phenotypes before treatment. This enables within-group comparisons and enhances statistical power by accounting for pre-existing behavioral variation. Used to screen anxiolytic agents and distinguish between compounds with sedative vs. anxiolytic profiles.

Enhancing Research Outcomes with Percentage-Based Analysis

By expressing center zone activity as a proportion of total trial time, researchers gain a metric that is resistant to session variability and more readily comparable across time, treatment, and model conditions. This normalized measure enhances reproducibility and statistical power, particularly in multi-cohort or cross-laboratory designs.

For experimental designs aimed at assessing anxiety, exploratory strategy, or affective state, the percentage of time spent in the center offers one of the most robust and interpretable measures available in the Open Field Test.

Explore high-resolution tracking solutions and open field platforms at

References

  • Prut, L., & Belzung, C. (2003). The open field as a paradigm to measure the effects of drugs on anxiety-like behaviors: a review. European Journal of Pharmacology, 463(1–3), 3–33.
  • Seibenhener, M. L., & Wooten, M. C. (2015). Use of the open field maze to measure locomotor and anxiety-like behavior in mice. Journal of Visualized Experiments, (96), e52434.
  • Crawley, J. N. (2007). What’s Wrong With My Mouse? Behavioral Phenotyping of Transgenic and Knockout Mice. Wiley-Liss.
  • Carola, V., D’Olimpio, F., Brunamonti, E., Mangia, F., & Renzi, P. (2002). Evaluation of the elevated plus-maze and open-field tests for the assessment of anxiety-related behavior in inbred mice. Behavioral Brain Research, 134(1–2), 49–57.

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