NIMH-1

DEPARTMENT OF HEALTH AND HUMAN SERVICES

NATIONAL INSTITUTES OF HEALTH

National Institute of Mental Health (NIMH)

FY 2020 Budget Page No.

Organization Chart...........................................................................................................................2

Appropriation Language ..................................................................................................................3

Amounts Available for Obligation...................................................................................................4

Budget Mechanism Table ................................................................................................................5

Major Changes in Budget Request ..................................................................................................6

Summary of Changes.......................................................................................................................7

Budget Graphs .................................................................................................................................8

Budget Authority by Activity ..........................................................................................................9

Authorizing Legislation .................................................................................................................10

Appropriations History ..................................................................................................................11

Justification of Budget Request .....................................................................................................12

Budget Authority by Object Class.................................................................................................22

Salaries and Expenses....................................................................................................................23

Detail of Full-Time Equivalent Employment (FTE) .....................................................................24

Detail of Positions..........................................................................................................................25
NIMH-2

National 

Advisory

Mental Health

Council

DEPARTMENT OF HEALTH AND HUMAN SERVICES

National Institutes of Health

National Institute of Mental Health

 

Division of Services and

Intervention Research

Director

Robert Heinssen, Jr., Ph.D.

Division of Neuroscience 

and Basic Behavioral 

Science

Director

Linda S. Brady, Ph.D.

Division of AIDS

Research 

Director

Dianne M. Rausch, Ph.D.

Division of 

Translational

Research

Director

Sarah H. Lisanby, M.D.

Office of the Director

Director

Joshua A. Gordon, M.D., Ph.D.

Division of Extramural 

Activities

Director

Jean Noronha, Ph.D.

Division of Intramural

Research Programs

Director

Susan G. Amara, Ph.D. 
NIMH-3

NATIONAL INSTITUTES OF HEALTH

National Institute of Mental Health

For carrying out section 301 and title IV of the PHS Act with respect to mental health,

[$1,812,796,000]$1,560,422,000.

NIH INNOVATION ACCOUNT, CURES ACT

(INCLUDING TRANSFER OF FUNDS)

For necessary expenses to carry out the purposes described in section 1001(b)(4) of the 21st 

Century Cures Act, in addition to amounts available for such purposes in the appropriations 

provided to the NIH in this Act, [$711,000,000]$492,000,000, to remain available until 

expended: Provided, That such amounts are appropriated pursuant to section 1001(b)(3) of such 

Act, are to be derived from amounts transferred under section 1001(b)(2)(A) of such Act, and 

may be transferred by the Director of the National Institutes of Health to other accounts of the

National Institutes of Health solely for the purposes provided in such Act: Provided further, That 

upon a determination by the Director that funds transferred pursuant to the previous proviso are 

not necessary for the purposes provided, such amounts may be transferred back to the Account: 

Provided further, That the transfer authority provided under this heading is in addition to any 

other transfer authority provided by law.
NIMH-4

Source of Funding FY 2018 Final FY 2019 Enacted FY 2020 President's 

Budget

Appropriation2 $1,754,775 $1,870,296 $1,630,422

Mandatory Appropriation: (non-add)

Type 1 Diabetes (0) (0) (0)

Other Mandatory financing (0) (0) (0)

Rescission 0 0 0

Sequestration 0 0 0

Secretary's Transfer -3,223 0 0

Subtotal, adjusted appropriation $1,751,552 $1,870,296 $1,630,422

OAR HIV/AIDS Transfers 2,882 0 0

HEAL Initiative Transfer 0 0 0

Subtotal, adjusted budget authority $1,754,434 $1,870,296 $1,630,422

Unobligated balance, start of year 0 0 0

Unobligated balance, end of year 0 0 0

Subtotal, adjusted budget authority $1,754,434 $1,870,296 $1,630,422

Unobligated balance lapsing -11 0 0

Total obligations $1,754,423 $1,870,296 $1,630,422

NATIONAL INSTITUTES OF HEALTH

National Institute of Mental Health

Amounts Available for Obligation1

(Dollars in Thousands)

1 Excludes the following amounts (in thousands) for reimbursable activities carried out by this account:

 FY 2018 - $8,531 FY 2019 - $10,050 FY 2020 - $10,050 

2 Of which $43.0 million in FY 2018, $57.5 million in FY 2019, and $70.0 million in FY 2020 is derived by transfer from the NIH Innovation

 Account under the 21st Century Cures Act.
NIMH-5

No. Amount No. Amount No. Amount No. Amount

1,484 $791,480 1,518 $814,336 1,560 $871,375 42 $57,039

(138) 19,887 (124) 16,604 (75) 10,000 (-49) -6,604

59 37,621 91 84,042 27 17,493 -64 -66,549

542 306,114 611 315,411 274 176,051 -337 -139,360

1 120 1 138 1 56 0 -82

602 $343,855 703 $399,591 302 $193,600 -401 -$205,990

2,086 $1,155,222 2,221 $1,230,531 1,862 $1,074,975 -359 -$155,556

103 54,423 122 59,001 105 49,788 -17 -9,213

2,189 $1,209,645 2,343 $1,289,532 1,967 $1,124,763 -376 -$164,769

36 $66,838 32 $68,861 25 $54,332 -7 -$14,529

0 0 0 0 0 0 0 0

0 50 0 50 0 50 0 0

0 276 0 276 0 276 0 0

0 0 0 0 0 0 0 0

36 $67,164 32 $69,187 25 $54,658 -7 -$14,529

316 $53,427 337 $57,575 337 $57,575 0 $0

0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0

62 38,339 79 47,646 62 37,641 -17 -10,006

378 $91,766 416 $105,221 399 $95,216 -17 -$10,006

2,603 $1,368,575 2,791 $1,463,940 2,391 $1,274,636 -400 -$189,304

FTTPs FTTPs FTTPs FTTPs

233 $10,480 231 $10,492 231 $10,492 0 $0

479 26,452 482 27,633 482 27,633 0 0

712 $36,932 713 $38,125 713 $38,125 0 $0

180 $83,037 180 $85,318 142 $67,453 -38 -$17,865

(0) (109) (0) (618) (0) (540) (0) (-78)

287 181,946 296 194,674 296 170,793 0 -23,881

263 83,944 267 88,239 267 79,415 0 -8,824

(0) (0) (0) (0) (0) (0) (0) (0)

0 0 0 0

0 0 0 0

550 $1,754,434 563 $1,870,296 563 $1,630,422 0 -$239,874

1

2

All items in italics and brackets are non-add entries.

Of which $43.0 million in FY 2018, $57.5 million in FY 2019, and $70.0 million in FY 2020 is derived by transfer from the NIH Innovation Account under the 21st Century Cures Act.

Res. Management & Support

Res. Management & Support (SBIR Admin) (non-add)

Construction 

Buildings and Facilities

Total, NIMH

Total Research Training

Research & Develop. Contracts

(SBIR/STTR) (non-add)

Intramural Research

Other

Other Research

Total Research Grants

Ruth L Kirchstein Training Awards:

Individual Awards

Institutional Awards

Other Research:

Research Careers

Cancer Education

Cooperative Clinical Research

Biomedical Research Support

Minority Biomedical Research Support

Specialized/Comprehensive

Clinical Research

Biotechnology

Comparative Medicine

Research Centers in Minority Institutions

Research Centers

Supplements

Subtotal, Competing

Subtotal, RPGs

SBIR/STTR

Research Project Grants

Research Centers:

Research Projects:

Noncompeting

Administrative Supplements 

Competing:

Renewal

New

NATIONAL INSTITUTES OF HEALTH

National Institute of Mental Health

Budget Mechanism - Total1,2

(Dollars in Thousands)

MECHANISM FY 2018 Final FY 2019 Enacted FY 2020 President's 

Budget

FY 2020

+/-

FY 2019 Enacted
NIMH-6

Major Changes in the Fiscal Year 2020 President’s Budget Request

Major changes by budget mechanism and/or budget activity detail are briefly described below. 

Note that there may be overlap between budget mechanism and activity details and these 

highlights will not sum to the total change for FY 2020 President’s Budget request for NIMH. 

The FY 2020 President’s Budget request is $1,630.4 million, a decrease of $239.9 million 

compared to the FY 2019 Enacted level.

Research Project Grants (-$164.8 million; total $1,124.8 million)

Non-competing Research Project Grants funding has increased by $57.0 million. Competing 

Research Project Grants has decreased by 401 grants or $206.0 million. This reduction is

distributed across all programmatic areas and basic, translational or clinical research.

Research and Development Contracts (-$17.9 million; total $67.5 million)

This budget activity has decreased by $17.9 million and will continue to fund research studies 

conducted by extramural universities and institutions.

Intramural Research Programs (-$23.9 million; total $170.8 million)

This budget activity has decreased by $23.9 million and will continue to fund innovative

research studies conducted by the Institute’s intramural scientists.

Research Management and Support (-$8.8 million; total $79.4 million)

This budget activity has decreased by $8.8 million and will continue to support the oversight and 

management of scientific programs critical to fulfilling the Institute’s mission.
NIMH-7

FY 2019 Enacted

FY 2020 President's Budget

Net change

FTEs Budget Authority FTEs Budget Authority

$66,440 $54

66,440 163

66,440 251

66,440 0

31,953 0

72,401 1,838

$2,307

$40,560 $35

40,560 106

40,560 153

40,560 0

6,876 -362

31,979 774

$707

$3,014

No. Amount No. Amount

1,560 $881,375 42 $50,434

302 193,600 -401 -205,990

105 49,788 -17 -9,213

1,967 $1,124,763 -376 -$164,769

25 $54,658 -7 -$14,529

399 95,216 -17 -10,006

713 38,125 0 0

142 67,453 -38 -17,865

$1,380,214 -$207,169

FTEs FTEs

296 $170,793 0 -$26,188

267 79,415 0 -9,531

0 0

0 0

563 $1,630,422 0 -$242,888

-$239,874

NATIONAL INSTITUTES OF HEALTH

National Institute of Mental Health

Summary of Changes

(Dollars in Thousands)

$1,870,296

$1,630,422

-$239,874

FY 2020 President's Budget Change from FY 2019 Enacted

CHANGES

A. Built-in:

1. Intramural Research:

a. Annualization of January 2019 pay increase & benefits

b. January FY 2020 pay increase & benefits

c. Paid days adjustment

d. Differences attributable to change in FTE

e. Payment for centrally furnished services

f. Cost of laboratory supplies, materials, other expenses, and non-recurring costs

Subtotal

2. Research Management and Support:

a. Annualization of January 2019 pay increase & benefits

b. January FY 2020 pay increase & benefits

c. Paid days adjustment

d. Differences attributable to change in FTE

e. Payment for centrally furnished services

f. Cost of laboratory supplies, materials, other expenses, and non-recurring costs

Subtotal

Subtotal, Built-in

FY 2020 President's Budget Change from FY 2019 Enacted

CHANGES

B. Program:

1. Research Project Grants:

a. Noncompeting

b. Competing

c. SBIR/STTR

Subtotal, RPGs

2. Research Centers

3. Other Research

4. Research Training

5. Research and development contracts

Subtotal, Extramural

6. Intramural Research

Subtotal, Program

Total changes

7. Research Management and Support

8. Construction

9. Buildings and Facilities
NIMH-8

Fiscal Year 2020 Budget Graphs

History of Budget Authority and FTEs:

 

Distribution by Mechanism:

Change by Selected Mechanism:
NIMH-9

FTE Amount FTE Amount FTE Amount FTE Amount

$731,327 $789,387 $687,147 -$102,240

148,730 158,153 137,669 -20,484

403,400 429,006 373,442 -55,564

159,739 162,616 139,980 -22,636

45,349 48,222 41,976 -6,246

$1,488,544 $1,587,383 $1,380,214 -$207,169

287 $181,946 296 $194,674 296 $170,793 0 -$23,881

263 $83,944 267 $88,239 267 $79,415 0 -$8,824

550 $1,754,434 563 $1,870,296 563 $1,630,422 0 -$239,874

1

NATIONAL INSTITUTES OF HEALTH

National Institute of Mental Health

Budget Authority by Activity1

(Dollars in Thousands)

FY 2018 Final FY 2019 Enacted FY 2020 President's 

Budget

FY 2020

+/-

FY2019

Extramural Research

Detail

Neuroscience & Basic Behavioral Science

Services & Intervention Research

Translational Research

AIDS Research

Office of the Director

Subtotal, Extramural

Intramural Research

Research Management & Support

TOTAL

Includes FTEs whose payroll obligations are supported by the NIH Common Fund.
NIMH-10

PHS Act/

Other Citation

U.S. Code

Citation

FY 2019 Enacted FY 2020 President's Budget

Section 301

Section 401(a) 42§281 Indefinite

Total, Budget Authority $1,870,296,000 $1,630,422,000

National Institute of Mental Health

$1,870,296,000 $1,630,422,000

Indefinite

NATIONAL INSTITUTES OF HEALTH

National Institute of Mental Health

Authorizing Legislation

2019 Amount

Authorized

2020 Amount

Authorized

Research and Investigation 42§241 Indefinite Indefinite
NIMH-11

Budget Estimate to 

Congress House Allowance Senate Allowance Appropriation

$1,540,345,000 $1,537,942,000 $1,489,372,000

$13,078,800

$1,517,006,000 $1,517,006,000 $1,460,671,000 $1,483,068,000

$2,802,999

$1,479,204,000 $1,483,687,000 $1,480,265,001

$2,960,530

($74,299,124)

$1,465,782,000 $1,456,041,000 $1,446,172,000

$0

$1,440,076,000 $1,463,036,000

$0

$1,489,417,000 $1,512,401,000 $1,520,260,000 $1,548,390,000

$0

$1,518,673,000 $1,599,747,000 $1,619,537,000 $1,601,931,000

$0

$1,244,901,000 $1,668,461,000 $1,724,568,000 $1,754,775,000

$0

$1,612,192,000 $1,790,231,000 $1,871,250,000 $1,870,296,000

$0

2020 $1,630,422,000 2

1 Budget Estimate to Congress includes mandatory financing.

2

 Includes funds derived by transfer from the NIH Innovation Account under the 21st Century Cures Act.

20182

Rescission

20192

Rescission

2016

Rescission

20171

Rescission

2014

Rescission

2015

Rescission

Rescission

2013

Rescission

Sequestration

NATIONAL INSTITUTES OF HEALTH

National Institute of Mental Health

Appropriations History

Fiscal Year

2011

Rescission

2012
NIMH-12

Justification of Budget Request

National Institute of Mental Health

Authorizing Legislation: Section 301 and title IV of the Public Health Service Act, as amended.

Budget Authority (BA):

FY 2018

Actual

FY 2019

Enacted

FY 2020

President’s

Budget

FY 2020 +/-

FY 2019

BA $1,754,434,000 $1,870,296,000 $1,630,422,000 -$239,874,000

FTE 550 563 563 0

Program funds are allocated as follows: Competitive Grants/Cooperative Agreements; 

Contracts; Direct Federal/Intramural and Other.

Director’s Overview

The National Institute of Mental Health (NIMH) is the lead federal agency for research on 

mental illnesses, with a mission to transform the understanding and treatment of mental illnesses 

through basic and clinical research, paving the way for prevention, recovery, and cure. The 

Institute supports basic, translational, clinical, and services research, including research with 

potential to improve clinical care over the short, medium, and long-term.

In the United States, an estimated 46.6 million adults suffer from a mental illness, which may be 

significantly impairing and life-threatening.1 Mental and substance abuse disorders are the third 

leading cause of disability in the United States, accounting for 12.7 percent of all years lived 

with disability.2

 One of the most tragic outcomes of untreated mental illness is suicide. Suicide 

accounts for the loss of nearly 45,000 American lives each year; it is the second leading cause of 

death in youth and young adults aged 10-34, and the tenth leading cause of death overall.3

Transformational Tools and Technologies: To support the development of new tools and 

technologies to revolutionize our understanding of the brain, NIMH and the National Institute of 

Neurological Disorders and Stroke co-lead the NIH Brain Research through Advancing 

Innovative Neurotechnologies (BRAIN) Initiative.4

 Early research from the BRAIN Initiative 

focused on producing more comprehensive and dynamic maps of the brain, deepening our 

understanding of how circuit activity produces an array of complex behaviors, and laying the 

 1 SAMHSA. (2018). Key substance use and mental health indicators in the United States: Results from the 2017 

National Survey on Drug Use and Health (HHS Publication No. SMA 18-5068, NSDUH Series H-53). Retrieved 

from https://www.samhsa.gov/data/ 2 Institute of Health Metrics and Evaluation. http://ghdx.healthdata.org/gbd-results-tool accessed July 2017. 3 CDC, NCIPC. WISQARS: http://www.cdc.gov/injury/wisqars/index.html accessed October 2018. 4 https://braininitiative.nih.gov/
NIMH-13

foundation for understanding how brain circuitry is disrupted in brain disorders, including mental 

illnesses.5 As the BRAIN Initiative moves forward, NIH is engaging a BRAIN 2.0 Working 

Group of the Advisory Committee to the Director to assess progress to date and to identify 

emerging opportunities. NIMH is currently leading the BRAIN Initiative Cell Census Network 

(BICCN) to provide researchers with a comprehensive reference of the diverse cell types in 

multiple species. The BICCN recently released its first large data set of over 1.3 million 

individual cells from the mouse brain and completed molecular profiling on 800,000 human 

brain cells.

NIMH also supports research on the development of tools and technologies to improve 

identification of individuals at risk for suicide. Because most suicide decedents have accessed 

health care services in the 12 months preceding death, health care systems can play a vital role in 

identifying individuals at risk and preventing suicide attempts.6 NIMH-funded researchers have

demonstrated that brief screening tools improve providers’ ability to identify, in health care 

settings, adults and youth at risk for suicidal behavior.7,8,9 One of these tools, the four-item Ask 

Suicide-Screening Questions (ASQ) screening tool, helps nurses and physicians identify youth at 

risk for suicide. The ASQ is now being used in emergency departments, inpatient units, and 

outpatient primary care clinics around the country. Efforts are also underway to develop 

computerized suicide risk detection algorithms based on electronic health record data. The 

Mental Health Research Network (MHRN), a collaborative effort of NIMH, private sector health 

maintenance organizations (HMOs), and the NIH Common Fund, has integrated the electronic 

health records for 13 million patients with mental illnesses across 13 health system research 

centers for a population-based approach to research. Activities of the MHRN include developing 

and validating a risk algorithm to inform providers about patient risk for suicide following an 

outpatient visit.10,11 

Building on Basic Science: NIMH supports research that aims to understand the basic science 

that underlies mental illnesses. Advancements in neural circuit technologies, genomics, and drug 

discovery have allowed us to improve treatments for mental illnesses. NIMH-supported studies 

in circuit neuroscience have enhanced our understanding of how behavior is produced by neural 

activity. Through studies that leverage optogenetics, which uses light to alter neural activity, and 

pharmacogenetics, which uses designer drugs to do the same, researchers have identified neural 

circuits for learning about threats and rewards in the environment, and for controlling 

fear.12,13,14,15

 5 http://www.jneurosci.org/content/early/2018/06/19/JNEUROSCI.3174-17.2018 6 https://www.ncbi.nlm.nih.gov/pubmed/24567199

7 https://www.sprc.org/micro-learnings/patientsafetyscreener 8 https://projectreporter.nih.gov/project_info_description.cfm?aid=8755416

9 See www.nimh.nih.gov/ASQ 10 https://projectreporter.nih.gov/project_info_description.cfm?aid=9538844 11 https://www.ncbi.nlm.nih.gov/pubmed/29792051 12 https://www.nature.com/articles/s41593-018-0073-9 13 https://www.nature.com/articles/s41593-017-0009-9 14 http://www.nature.com/articles/nn.4414 15 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4526462/
NIMH-14

NIMH-funded researchers have also identified a large and growing number of genetic 

differences that are associated with mental illnesses. To further guide the Institute in setting 

priorities for genomics research, NIMH convened a working group of the National Advisory 

Mental Health Council.16 The working group recommendations addressed the need for 

appropriate statistical methods, rigorous significance standards, and well-powered, unbiased 

studies for gene discovery. The report also highlighted the need to carefully choose and enrich 

experimental systems to address both common and rare gene variants, and expand efforts beyond 

current diagnostic classifications. In addition, the working group recommended that studies 

should aim to capture genetic and phenotypic variation across diverse human populations. This 

need for diversity drives several NIMH-supported studies, whose findings now provide many 

examples of statistically rigorous and fully-replicated genetic links to schizophrenia, autism, 

depression, and other psychiatric disorders. NIMH participation in projects like the Human 

Heredity and Health in Africa (H3-Africa) Initiative, is facilitating the study of genomics and 

epidemiological research in partnership with African scientific institutions.17

Discoveries in neuropharmacology have also helped advance the field toward better treatments. 

Recently, NIMH-funded scientists deciphered the molecular structure of risperidone – a widely 

prescribed antipsychotic for schizophrenia, bipolar disorder, and other mental illnesses. This is 

the first study to elucidate precisely how risperidone binds to its primary molecular target in the 

human brain. This finding opens the way for the potential design of a new generation of 

antipsychotic drugs, with fewer side effects.18,19

Exploring the Next Frontier: To truly advance therapeutics, it is imperative to understand the 

mechanisms underlying mental illnesses. The Research Domain Criteria (RDoC) is NIMH’s 

framework to investigate the nature of mental health and illness in terms of varying degrees of 

dysfunctions in general psychological/biological systems.

20 While RDoC is currently a topdown, expert-driven approach, there is a critical need for bottom-up, data-driven advances to 

derive natural domains of behavior. Computational approaches, which allow researchers to 

describe and test how complex high-level phenomena emerge from interactions at smaller scale 

levels, will be useful in defining the RDoC domains, connecting them with neurobiology, and 

testing their clinical utility.21,22 As such, NIMH supports research to validate RDoC constructs in 

the clinic, and to foster a novel biologically-based computational framework to identify and 

validate biomarkers and novel treatment, prevention, and recovery targets for mental disorders. 

For example, NIMH-funded researchers used a mathematical clustering algorithm to identify

“biotypes,” different types of brain connectivity maps in people with depression, which may be 

used to refine diagnosis and guide treatment.23 Further, big data initiatives (e.g., All of Us

 16 https://www.nimh.nih.gov/about/director/messages/2018/towards-a-genomic-psychiatry-recommendations-of-thegenomics-workgroup-of-the-namhc.shtml 17 https://www.h3africa.org/ 18 https://www.nimh.nih.gov/news/science-news/2018/molecular-secrets-revealed-antipsychotic-docked-in-itsreceptor.shtml

19 https://www.nature.com/articles/nature25758 20 https://www.nimh.nih.gov/research-priorities/rdoc/index.shtml 21 https://www.nimh.nih.gov/about/director/messages/2017/computational-neuroscience-deciphering-the-complexbrain.shtml

22 https://www.nimh.nih.gov/about/director/messages/2017/rdoc-outcomes-to-causes-and-back.shtml 23 https://www.ncbi.nlm.nih.gov/pubmed/27918562 
NIMH-15

Research Program24) offer great potential for computational approaches to integrate and 

continuously refine RDoC into a comprehensive tool that may revolutionize psychiatric research 

and practice. 

As NIMH aims to advance neurotherapeutics to treat mental disorders and the functional 

domains or symptoms associated with these disorders, the Institute supports research to develop 

novel neurostimulation and neuromodulation devices25 and interventions.26 Examples of 

NIMH-funded research advancing neurotherapeutics include investigating noninvasive electrical 

brain stimulation to improve cognition in schizophrenia,27,28 and testing a computerized 

intervention targeting cognitive control network deficits in depression.29 These novel 

interventions aim to improve understanding of underlying brain mechanisms, and also to

improve the functioning and outcomes for individuals living with mental illnesses.

Cultivating the Biomedical Research Workforce: To address longstanding challenges faced 

by researchers trying to embark upon and sustain independent research careers, NIH instituted 

the Next Generation Researchers Initiative (NGRI) policy.30 In accordance with this policy, 

NIMH currently funds approximately 80 early stage investigators. One mechanism that NIMH 

uses to support early investigators is the Biobehavioral Research Awards for Innovative New 

Scientists (BRAINS). Since 2009, the BRAINS program has helped 79 extraordinary early stage 

investigators launch innovative research programs with the potential to transform mental health 

research. BRAINS support the person as well as the project; these awards afford an opportunity

for early stage investigators to explore truly novel and potentially groundbreaking approaches, 

while providing a stable foundation from which to launch their future research programs. 

NIMH also recognizes the importance of fostering diversity and talent in its workforce. The 

BRAIN Initiative, co-led by NIMH, issued funding opportunity announcements to enhance 

diversity in the neuroscience workforce and maintain a strong cohort of new, talented, 

independent investigators from diverse backgrounds in BRAIN Initiative research areas.31,32,33 

NIMH also continues to support the NIH Blueprint Enhancing Neuroscience Diversity through 

Undergraduate Research Education Experiences (BP-ENDURE) program. BP-ENDURE offers 

opportunities in neuroscience research for individuals from underrepresented racial and ethnic 

groups, individuals with disabilities, and those at economic disadvantage.34 

Budget Policy: The FY 2020 President’s Budget request is $1,630.4 million, a decrease of 

$239.9 million or 12.8 percent compared to the FY 2019 Enacted level.

 24 https://allofus.nih.gov/ 25 https://grants.nih.gov/grants/guide/pa-files/PAR-18-942.html 26 https://grants.nih.gov/grants/guide/rfa-files/rfa-mh-16-406.html 27 https://projectreporter.nih.gov/project_info_description.cfm?aid=9116564 28 https://projectreporter.nih.gov/project_info_description.cfm?aid=9544319

29 https://projectreporter.nih.gov/project_info_description.cfm?aid=9518140 30 https://grants.nih.gov/ngri.htm 31 https://grants.nih.gov/grants/guide/pa-files/PAR-18-814.html 32 https://grants.nih.gov/grants/guide/pa-files/PAR-18-813.html 33 https://www.braininitiative.nih.gov/ 34 https://neuroscienceblueprint.nih.gov/bp_nih-supported_training/endure_programs.htm
NIMH-16

Program Descriptions

Neuroscience and Basic Behavioral Science

The Division of Neuroscience and Basic Behavioral Science (DNBBS) provides support for 

research in the areas of basic neuroscience, genetics, basic behavioral science, research training, 

resource development, and drug discovery. In cooperation with other NIMH programs and the 

wider research community, this program ensures that relevant basic scientific knowledge is 

generated and used in pursuit of improved methods that, in the long term, could be used to 

diagnose, treat, and prevent mental illnesses.

DNBBS funds grants across a range of research topics to enhance understanding of the basic 

neurobiology underlying mental illnesses. In Fiscal Year (FY) 2020, DNBBS plans to support 

research to identify neurophysiological measures in model systems for use as potential assays in 

treatment development research. In addition, DNBBS will support studies focused on the links 

between the maturation of brain circuits and behaviors that occur during development, which 

allow for the emergence of cognitive, affective, and social behaviors that occur later in life.

Program Portrait: Computational Methods to Elucidate the Role of Gene Regulation in Mental Illnesses

Examining genetic risk factors is important for understanding the biology underlying mental illnesses. The 

development of mental illnesses is influenced by thousands of variations in DNA sequences (i.e., genetic variants),

with each variant contributing only small to moderate effects on risk. Understanding the impact of these gene 

variants is limited by our understanding of the fine-grained molecular and cellular complexity of the brain, and how 

the brain itself is affected by genetic variation. 

While still in development, advances in analysis of single-cell technologies hold promise for mapping the molecular 

and cellular diversity of the brain at the single-cell level (e.g., BRAIN Initiative Cell Census Network35). Likewise, 

new ways to measure multiple molecular features that control genes (multi-omics) allow deeper biological 

understanding from large collections of brain tissues and genetic data (e.g., NIH Genotype-Tissue Expression36, NIH 

ENCODE Project37, NIMH Repository and Genomics Resource38). Computational methods can be used to integrate 

precise genomic information provided by single-cell approaches with multi-omic information gathered from adult 

brain tissue samples. NIMH is supporting an initiative that encourages researchers to develop new, or adapt 

existing, computational and statistical approaches to aggregate, search, and conduct integrative analyses of singlecell and tissue multi-omic datasets from brain samples to achieve new insights into the biology of mental illnesses.39 

Budget Policy: The FY 2020 President’s Budget request is $687.1 million, a decrease of $102.2

million or 13.0 percent compared to the FY 2019 Enacted level.

Translational Research

The Division of Translational Research (DTR) supports integrative, multidisciplinary research 

and training programs that translate findings from basic science to discover the causes, 

mechanisms, and trajectories of mental illnesses, and that develop effective interventions for 

 35 https://www.nih.gov/news-events/news-releases/nih-brain-initiative-launches-cell-census 36 https://commonfund.nih.gov/gtex 37 https://www.genome.gov/10005107/the-encode-project-encyclopedia-of-dna-elements/ 38 https://www.nimhgenetics.org/available_data/psychencode/

39 https://www.nimh.nih.gov/funding/grant-writing-and-application-process/concept-clearances/2018/computationalmethods-for-integrative-analysis-of-multi-omic-and-single-cell-data-to-elucidate-cell-type-specific-gene-regulatoryarchitecture-for-mental-disorders.shtml
NIMH-17

individuals across the lifespan. DTR supports research on the characteristics of, and risk factors 

for, mental illnesses; the neurobehavioral mechanisms of psychopathology; the trajectories of 

risk and resilience based on the interactive influences of genetics, brain development, 

environment, and experience; and the design and testing of innovative treatments and 

interventions. As such, DTR-supported research efforts may have intermediate-term impact, and 

pave the way towards effective ways to treat and prevent mental illness.

One area of high priority for DTR is research to identify biological markers of risk/resilience and 

targets for intervention. To address this priority, NIMH recently funded a five-year study to 

understand how early life adversity shapes emotional, cognitive, and brain development.40 This 

landmark study, which follows mothers and their infants over the first three years of life, 

characterizes development across multiple levels of analysis, from environmental risk to 

physiology to neural circuits to behavior. As a result, the study has the potential to define the 

contributions of modifiable factors (psychosocial adversity, inflammation, and early caregiver 

support) to the earliest indicators of risk for psychopathology and may pave the way for 

innovative early interventions. In addition, in collaboration with the NIH Office of the Director, 

NIMH awarded an administrative supplement to an ongoing longitudinal study of the 

neurodevelopment of irritability to also include a cohort of children born dependent on opioids.41 

Irritability is a shared pathway to many early childhood psychopathologies and has been strongly 

associated with exposure to various substances. This timely administrative supplement will 

increase our understanding of how multiple early-life biological, environmental, and social 

factors confer risk for mental disorders.

Program Portrait: Autism Centers of Excellence (ACE) Program

Since 2007, NIH has supported the Autism Centers of Excellence (ACE) program, an integrative multidisciplinary, 

coordinated research effort focused on autism spectrum disorder (ASD) causes, trajectories, and interventions. 

Previously, ACE researchers identified potential subtypes of autism and sex differences in brain structure of children 

with ASD,42,43,44 and found that early brain changes may help predict ASD among high-risk infants.45,46 

To build on these past discoveries, NIH continues to support the ACE program.47 NIMH currently supports the 

following research grants. Researchers at Yale University are investigating how brain connections in early 

development, including the prenatal and early postnatal periods, function as early indicators of ASD.48 They also 

aim to determine if boys and girls with ASD differ in their brain circuity, and plan to evaluate an intervention to 

improve social functioning in children at high risk for ASD. Researchers at Emory University are examining social 

interactions in very early infancy to detect the earliest signs of ASD.49 These researchers also aim to identify infant 

characteristics that predict future treatment response and outcomes. In addition, researchers at George Washington 

University seek to understand how ASD differs among girls and boys, particularly during the transition from 

 40 https://projectreporter.nih.gov/project_info_description.cfm?aid=9518320 41 https://projectreporter.nih.gov/project_info_description.cfm?aid=9713716 42 https://www.ncbi.nlm.nih.gov/pubmed/22123952 43 https://www.ncbi.nlm.nih.gov/pubmed/27343889 44 https://www.ncbi.nlm.nih.gov/pubmed/27566123 45 https://www.ncbi.nlm.nih.gov/pubmed/28202961 46 https://www.ncbi.nlm.nih.gov/pubmed/28592562 47 https://www.nih.gov/news-events/news-releases/nih-awards-nearly-100-million-autism-centers-excellenceprogram

48 https://projectreporter.nih.gov/project_info_description.cfm?aid=9560923

49 https://projectreporter.nih.gov/project_info_description.cfm?aid=9560901
NIMH-18

adolescence into adulthood.50 Through collaboration with self-advocates, these researchers aim to uncover 

information that will help males and females living with ASD better manage the transition to adulthood. 

Researchers at the University of California Los Angeles are investigating the rare genetic variations contributing to 

ASD susceptibility in African-Americans, an important population that has not previously been well represented in 

ASD genetic studies.

51 These researchers also aim to enrich current genetic repositories and improve disparities by 

facilitating early diagnosis and increasing access to care for this population. In addition, NIMH-funded ACE 

researchers at Drexel University are evaluating the extent to which early developmental screening lowers the 

average age of ASD diagnosis and leads to earlier interventions and improved outcomes.52 This research aims to 

address whether every toddler should be screened for ASD.

Budget Policy: The FY 2020 President’s Budget request is $373.4 million, a decrease of $55.6

million or 13.0 percent compared to the FY 2019 Enacted level.

Services and Intervention Research

The Division of Services and Intervention Research (DSIR) supports research that evaluates the 

effectiveness of psychosocial, pharmacological, somatic, rehabilitative, and combined 

interventions to prevent or treat mental illnesses. DSIR refines and evaluates treatment and 

preventive interventions for children, adolescents, and adults, focusing on acute and long-term 

symptom reduction, remission, and improved community functioning. DSIR also supports 

mental health services research, including interventions to improve the quality and outcomes of 

care; organization- and system-level interventions to enhance service delivery; and, strategies for 

widespread dissemination and implementation of evidence-based treatments into routine care 

settings. DSIR funds studies that are designed to have near-term impact, targeted at improving 

care for patients currently suffering from mental illnesses.

To address the alarming rate of suicide among youth and adults, DSIR continues to support 

research efforts to leverage existing data from basic and clinical research, publicly available

social media content, and electronic healthcare records to address questions about suicide 

predictors and/or outcomes .

53,54,55,56 Some of these projects apply state-of-the-art computational 

approaches to conduct novel secondary analyses aimed at identifying biological, experiential, 

and other factors associated with suicide risk, and to ultimately inform targets and timing for 

intervention. In addition, some DSIR-funded projects use digital health technology which offers 

unprecedented opportunities to improve our understanding of mental illnesses, track the course 

of illnesses and recovery, and provide and enhance mental health care. Overall, these projects 

hold promise for improving the accuracy and timeliness of assessment, facilitating access and 

delivery of evidence-supported interventions to youth and adults with serious mental illness, and 

supporting providers in their use of measurement-based, research-informed care.

 50 https://projectreporter.nih.gov/project_info_description.cfm?aid=9560900 51 https://projectreporter.nih.gov/project_info_description.cfm?aid=9388877 52 https://projectreporter.nih.gov/project_info_description.cfm?aid=9560919 53 https://grants.nih.gov/grants/guide/rfa-files/RFA-MH-18-400.html 54 https://grants.nih.gov/grants/guide/rfa-files/RFA-MH-17-608.html 55 https://grants.nih.gov/grants/guide/rfa-files/RFA-MH-17-612.html 56 https://grants.nih.gov/grants/guide/pa-files/PAR-16-236.html
NIMH-19

Program Portrait: Secondary Data Analysis to Examine the Potential Cross-over Effects of Prevention 

Interventions

A growing body of literature suggests that preventive interventions delivered in childhood improve long-term 

outcomes related to mental health. Findings indicate that early life interventions that target short-term risk and 

protective factors can positively impact a broad array of long-term outcomes. Further, early preventive interventions 

can have unanticipated beneficial effects on outcomes not specifically targeted by the intervention (i.e., cross-over 

effects). For example, preventive interventions aimed at reducing substance use and emotional problems can 

prevent suicidal ideation and behaviors. Because these findings are based on a variety of studies using different 

prevention strategies, it is difficult to draw conclusions about the impact of preventive interventions on a broad 

scale, and especially for small subgroups and low-base-rate behaviors (i.e., behaviors that occur at a low rate in the 

general population).

New technological and analytic approaches for harmonizing and integrating datasets increase statistical power, 

allowing more rigorous assessment of the impact of prevention interventions in general, among specific groups (e.g., 

sexual minority youth, racial/ethnic minority youth), and for low-base-rate behaviors (e.g., psychosis, suicidal 

thoughts and behaviors). NIMH is supporting an initiative to encourage harmonization of existing datasets from 

early life preventive intervention trials to: (1) examine risk and protective factors that impact mental health 

outcomes in childhood, adolescence, and young adulthood; and, (2) determine whether early life preventive 

interventions have long-term effects and/or cross-over effects. Harmonized datasets will be submitted to the NIMH 

Data Archive and will serve as a resource to the research community.57 Using theory-based developmental 

approaches, this line of research holds promise to: identify targeted preventive interventions for specific subgroups 

and behaviors; refine preventive interventions to enhance their potency and efficiency; and inform an evidence-base 

for early life prevention strategies that reduce risk for mental illnesses and suicide. 

Program Portrait: Ending Disparities in Mental Health (EDIfy-MH)

NIMH is committed to confronting mental health disparities and understanding how disparities arise, why they 

persist, and how we might address them. As such, NIMH is directing efforts through a program called Ending 

Disparities in Mental Health (EDIfy-MH). The goal of this program is to generate research to identify and better 

understand the genetic, neurobiological, psychosocial, and environmental mechanisms/or factors that underlie 

mental health disparities. Edify-MH aims to support disparities research in global and domestic settings that 

addresses the (a) prevalence of mental illnesses, (b) mental illness trajectories, (c) access to preventive and treatment 

intervention services and (d) quality and outcomes of mental health care.58,59 Domestically, EDIfy-MH encourages 

research that addresses: racial/ethnic minority groups, sexual and gender minority groups, individuals living in rural 

areas, socioeconomically disadvantaged persons, or any other subgroup of individuals in the U.S. with documented 

disparities. On a global level, EDIfy-MH encourages research that addresses: low- and middle- income countries,60

communities in low-resource settings, individuals living in rural areas, socioeconomically disadvantaged persons, 

and other subgroups of individuals living outside of the U.S. with documented disparities.

Budget Policy: The FY 2020 President’s Budget request is $137.7 million, a decrease of $20.5

million or 13.0 percent compared to the FY 2019 Enacted level.

 57 https://www.nimh.nih.gov/funding/grant-writing-and-application-process/concept-clearances/2018/secondarydata-analysis-to-examine-long-term-and-cross-over-effects-of-prevention-interventions.shtml 58 https://nimhd.nih.gov/about/overview/

59 https://grants.nih.gov/grants/guide/notice-files/NOT-OD-15-089.html 60 https://datahelpdesk.worldbank.org/knowledgebase/articles/378834-how-does-the-world-bank-classify-countries
NIMH-20

AIDS Research 

The Division of AIDS Research (DAR) supports research and research training that addresses 

the priority areas outlined in the NIH HIV/AIDS Research Priorities and Guidelines for 

Determining AIDS Funding.61 DAR-supported research includes behavioral and social science 

studies aimed at reducing HIV/AIDS incidence through the development, testing, and 

implementation of new and improved prevention strategies, improving health outcomes of those 

living with HIV through improved linkage to care, and adherence to effective treatments. 

Behavioral and social science research is critical to understanding individual and community 

acceptance and uptake of prevention and treatment strategies, such that the delivery of these 

strategies is fully optimized, widely disseminated, and successfully implemented. Moreover, 

DAR research places special emphasis on World Health Organization-defined key populations, 

health disparities, and the impact of mental illnesses that may increase the risk for contracting 

HIV or negatively impact the health outcomes of those living with HIV.

DAR also supports research to understand, prevent, and treat the neurological dysfunction 

associated with HIV infection. DAR is participating in cure research by supporting studies to 

eradicate or silence the HIV virus from biological reservoirs in the central nervous system 

(CNS). HIV latency within the CNS is critically important to consider in studies of eradication 

and reactivation. Many drugs designed to eradicate the virus are unable to penetrate the CNS 

because it acts as a protective reservoir for HIV. This work may also inform methods to prevent 

or treat the neurological comorbidities of HIV, with targeted research to understand HIV-induced 

neurological pathology, with emphasis on long-term antiretroviral therapy. Additionally, DAR 

ensures effective integration of biomedical approaches and multidisciplinary expertise are 

considered in agency-wide planning efforts, to help achieve an AIDS-free generation.

Budget Policy: The FY 2020 President’s Budget request is $140.0 million, a decrease of $22.6

million or 13.9 percent compared to the FY 2019 Enacted level.

Intramural Research Programs 

The Division of Intramural Research Programs (IRP) is the internal research component of 

NIMH, complementing the Institute’s extramural grant funding program. IRP scientists 

investigate basic, translational, and clinical aspects of brain function and behavior, conducting 

state-of-the-art research using unique NIH resources. In addition, the IRP provides an excellent 

environment for training the next generation of clinical and basic scientists.

IRP research teams are investigating innovative behavioral treatments and medications for 

children with severe mood dysregulation or anxiety and are using computational and multimodal 

neuroimaging approaches to understand adolescent depression. Other IRP scientists are

exploring novel medications for treatment-resistant depression in adults, including ketamine and 

other experimental fast-acting antidepressant medications. Researchers are also working to 

understand the neurobiological underpinnings of suicide and developing suicide risk screening 

tools for use in medical settings. 

In FY 2018, important scientific advances came out of the IRP. For example, researchers refined 

a high-resolution imaging method, laminar cerebral blood volume functional magnetic resonance 

 61 https://grants.nih.gov/grants/guide/notice-files/NOT-OD-15-137.html
NIMH-21

imaging (CBV-fMRI), which allows measurement of human brain activity across cortical layers. 

Another IRP team further elucidated how the paraventricular nucleus of the thalamus interacts 

with other brain areas in mediating behavioral responses to stress.62 IRP researchers also showed 

that the amygdala, a brain region associated with emotional processing, plays a central role in 

recognizing and guiding eye movement toward faces, important for social behavior. 

Budget Policy: The FY 2020 President’s Budget request is $170.8 million, a decrease of $23.9

million or 12.3 percent compared to the FY 2019 Enacted level.

Research Management and Support (RMS)

Research Management and Support (RMS) activities provide administrative, budgetary, 

logistical, and scientific support in the review, award, and monitoring of research and training 

grants, and research and development contracts. RMS functions include strategic planning, 

coordination, and evaluation of NIMH programs, regulatory compliance, coordination of global 

mental health efforts, and liaising with other Federal agencies, Congress, and the public. 

Through RMS activities, NIMH continues to provide accountability and administrative support 

for meritorious basic, clinical, and translational research and continues to promote health 

information dissemination, education, and outreach activities.

Budget Policy: The FY 2020 President’s Budget request is $79.4 million, a decrease of $8.8

million or 10.0 percent compared to the FY 2019 Enacted level.

 62 https://www.nimh.nih.gov/news/science-news/2018/understanding-critical-components-of-the-brains-stresscircuitry.shtml
NIMH-22

FY 2019 Enacted FY 2020 President's 

Budget

FY 2020

+/-

FY 2019

Full-time equivalent 563 563 0

Full-time equivalent of overtime and holiday hours 0 0 0

Average ES salary $177 $177 $1

Average GM/GS grade 12.7 12.7 0.0

Average GM/GS salary $116 $116 $0

Average salary, grade established by act of July 1, 

1944 (42 U.S.C. 207) $0 $0 $0

Average salary of ungraded positions $135 $135 $0

FY 2019 Enacted FY 2020 President's 

Budget

FY 2020

+/-

FY 2019

Personnel Compensation

Full-Time Permanent 45,266 45,438 172

Other Than Full-Time Permanent 23,689 23,779 90

Other Personnel Compensation 2,094 2,102 8

Military Personnel 0 0 0

Special Personnel Services Payments 11,370 11,414 43

Subtotal Personnel Compensation $82,420 $82,733 $313

Civilian Personnel Benefits 23,816 24,267 450

Military Personnel Benefits 0 0 0

Benefits to Former Personnel 0 0 0

Subtotal Pay Costs $106,237 $107,000 $763

Travel & Transportation of Persons 3,012 2,861 -151

Transportation of Things 159 151 -8

Rental Payments to GSA 0 0 0

Rental Payments to Others 0 0 0

Communications, Utilities & Misc. Charges 1,013 962 -51

Printing & Reproduction 59 56 -3

Consulting Services 11,324 11,220 -104

Other Services 29,084 27,667 -1,417

Purchase of goods and services from government 

accounts 169,026 140,312 -28,714

Operation & Maintenance of Facilities 4,774 4,773 -1

R&D Contracts 25,127 5,237 -19,890

Medical Care 136 135 -1

Operation & Maintenance of Equipment 2,730 2,593 -136

Subsistence & Support of Persons 39 37 -2

Subtotal Other Contractual Services $242,239 $191,974 -$50,265

Supplies & Materials 6,020 5,719 -301

Equipment 9,493 9,018 -475

Land and Structures 0 0 0

Investments & Loans 0 0 0

Grants, Subsidies & Contributions 1,502,066 1,312,681 -189,385

Insurance Claims & Indemnities 0 0 0

Interest & Dividends 0 0 0

Refunds 0 0 0

Subtotal Non-Pay Costs $1,764,059 $1,523,422 -$240,637

Total Budget Authority by Object Class $1,870,296 $1,630,422 -$239,874

1

NATIONAL INSTITUTES OF HEALTH

National Institute of Mental Health

Budget Authority by Object Class1

(Dollars in Thousands)

Total compensable workyears:

OBJECT CLASSES

11.1

11.3

11.5

11.7

11.8

11.9

12.1

12.2

13.0

21.0

22.0

23.1

23.2

23.3

24.0

25.1

25.2

25.3

25.4

25.5

25.6

25.7

25.8

25.0

26.0

31.0

32.0

33.0

41.0

42.0

43.0

44.0

Includes FTEs whose payroll obligations are supported by the NIH Common Fund.
NIMH-23

OBJECT CLASSES FY 2019 Enacted FY 2020 President's 

Budget

FY 2020

+/-

FY 2019

Personnel Compensation

Full-Time Permanent (11.1) $45,266 $45,438 $172

Other Than Full-Time Permanent (11.3) 23,689 23,779 90

Other Personnel Compensation (11.5) 2,094 2,102 8

Military Personnel (11.7) 0 0 0

Special Personnel Services Payments (11.8) 11,370 11,414 43

Subtotal Personnel Compensation (11.9) $82,420 $82,733 $313

Civilian Personnel Benefits (12.1) $23,816 $24,267 $450

Military Personnel Benefits (12.2) 0 0 0

Benefits to Former Personnel (13.0) 0 0 0

Subtotal Pay Costs $106,237 $107,000 $763

Travel & Transportation of Persons (21.0) $3,012 $2,861 -$151

Transportation of Things (22.0) 159 151 -8

Rental Payments to Others (23.2) 0 0 0

Communications, Utilities & Misc. Charges (23.3) 1,013 962 -51

Printing & Reproduction (24.0) 59 56 -3

Other Contractual Services:

Consultant Services (25.1) 2,084 1,980 -104

Other Services (25.2) 29,084 27,667 -1,417

Purchases from government accounts (25.3) 121,640 90,857 -30,784

Operation & Maintenance of Facilities (25.4) 4,774 4,773 -1

Operation & Maintenance of Equipment (25.7) 2,730 2,593 -136

Subsistence & Support of Persons (25.8) 39 37 -2

Subtotal Other Contractual Services $160,352 $127,907 -$32,445

Supplies & Materials (26.0) $6,020 $5,719 -$301

Subtotal Non-Pay Costs $170,614 $137,656 -$32,958

Total Administrative Costs $276,850 $244,656 -$32,194

NATIONAL INSTITUTES OF HEALTH

National Institute of Mental Health

Salaries and Expenses

(Dollars in Thousands)
NIMH-24

Civilian Military Total Civilian Military Total Civilian Military Total

Division of AIDS Research

Direct: 13 - 13 13 - 13 13 - 13

Reimbursable: - - - - - - - - -

Total: 13 - 13 13 - 13 13 - 13

Division of Extramural Activities

Direct: 42 - 42 43 - 43 43 - 43

Reimbursable: - - - - - - - - -

Total: 42 - 42 43 - 43 43 - 43

Division of Intramural Research Programs

Direct: 279 - 279 288 - 288 288 - 288

Reimbursable: 8 - 8 8 - 8 8 - 8

Total: 287 - 287 296 - 296 296 - 296

Division of Neuroscience and Basic Behavioral Science

Direct: 23 - 23 23 - 23 23 - 23

Reimbursable: - - - - - - - - -

Total: 23 - 23 23 - 23 23 - 23

Division of Services and Intervention Research

Direct: 15 - 15 15 - 15 15 - 15

Reimbursable: - - - - - - - - -

Total: 15 - 15 15 - 15 15 - 15

Division of Translational Research

Direct: 25 - 25 25 - 25 25 - 25

Reimbursable: - - - - - - - - -

Total: 25 - 25 25 - 25 25 - 25

Office of the Director

Direct: 136 - 136 139 - 139 139 - 139

Reimbursable: 9 - 9 9 - 9 9 - 9

Total: 145 - 145 148 - 148 148 - 148

Total 550 - 550 563 - 563 563 - 563

FTEs supported by funds from Cooperative Research and 

Development Agreements. 0 0 0 0 0 0 0 0 0

FISCAL YEAR

2016

2017

2018

2019

2020

NATIONAL INSTITUTES OF HEALTH

National Institute of Mental Health

Detail of Full-Time Equivalent Employment (FTE)

OFFICE/DIVISION

FY 2018 Final FY 2019 Enacted FY 2020 President's Budget

Includes FTEs whose payroll obligations are supported by the NIH Common Fund.

12.7

Average GS Grade

12.4

12.6

12.7

12.7
NIMH-25

FY 2018 Final FY 2019 Enacted FY 2020 President's 

Budget

1 1 1

175,136 176,642 177,313

65 65 65

78 78 78

108 121 121

75 75 75

39 39 39

0 0 0

15 15 15

8 8 8

7 7 7

1 1 1

0 0 0

2 2 2

1 1 1

0 0 0

1 1 1

400 413 413

0 0 0

0 0 0

0 0 0

0 0 0

0 0 0

0 0 0

0 0 0

0 0 0

173 173 173

402 415 415

574 587 587

550 563 563

175,136 176,642 177,313

12.7 12.7 12.7

115,007 115,996 116,437

1

NATIONAL INSTITUTES OF HEALTH

National Institute of Mental Health

Detail of Positions1

GRADE

Total, ES Positions

Total, ES Salary

GM/GS-15

GM/GS-14

GM/GS-13

GS-12

GS-11

GS-10

GS-9

GS-8

GS-7

GS-6

GS-5

GS-4

GS-3

GS-2

GS-1

Subtotal

Grades established by Act of July 1, 1944 (42 U.S.C. 207)

Assistant Surgeon General

Director Grade

Senior Grade

Full Grade

Senior Assistant Grade

Assistant Grade

Subtotal

Ungraded

Average ES salary

Average GM/GS grade

Average GM/GS salary

Includes FTEs whose payroll obligations are supported by the NIH Common Fund.

Total permanent positions

Total positions, end of year

Total full-time equivalent (FTE) employment, end of year