Grants paid by Foundation for Neurologic Diseases Inc
EIN 04-3015469 · Newburyport, MA · Form 990, Schedule I · NTEE H960
Foundation for Neurologic Diseases Inc of Newburyport, MA (EIN 04-3015469) reported 21 grants paid totaling $2,507,556 to 14 recipients in tax years 2018–2024, on Form 990, Schedule I. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.
Grants paid
$2,507,556
21 grants
Recipients
14
distinct organizations
Tax years
2018–2024
5 filings in the corpus
By tax year
| Tax year | Grants paid | Amount paid | Approved for future |
|---|---|---|---|
| 2018 | 11 | $587,200 | — |
| 2020 | 3 | $253,856 | — |
| 2022 | 2 | $330,000 | — |
| 2023 | 1 | $770,000 | — |
| 2024 | 4 | $566,500 | — |
Top recipients
The 14 recipients receiving the most from Foundation for Neurologic Diseases Inc, by grants paid, out of 14 distinct recipients.
| Recipient | Match | Location | Grants | Total paid | Latest year |
|---|---|---|---|---|---|
| Brigham & Womens Hospital 04-2312909 | A | Boston, MA | 6 | $2,110,800 | 2024 |
| Uf Foundation 59-0974739 | A | Gainesville, FL | 1 | $162,956 | 2020 |
| Yale University 06-0646973 | A | New Haven, CT | 2 | $54,200 | 2024 |
| Stanford University 94-1156365 | A | Stanford, CA | 2 | $50,000 | 2024 |
| Ku Center for Research Inc 48-0680117 | A | Lawrence, KS | 1 | $40,900 | 2020 |
| Beth Israel Deaconess Medical Center 04-2103881 | A | Boston, MA | 1 | $25,000 | 2022 |
| Newburgh Armory Unity 27-4649035 | A | New Windsor, NY | 1 | $10,000 | 2018 |
| University of California Irvine 95-2226406 | A | Irvine, CA | 1 | $9,000 | 2018 |
| University of Southern California 95-1642394 | A | Los Angeles, CA | 1 | $8,400 | 2018 |
| Butler Hospital 05-0258812 | A | Providence, RI | 1 | $8,400 | 2018 |
| University of Wisconsin-Madison 39-6006492 | A | Madison, WI | 1 | $8,400 | 2018 |
| Wake Forest Baptist Health 22-3849199 | A | Winston Salem, NC | 1 | $7,200 | 2018 |
| University of Kentucky 61-6001218 | A | Lexington, KY | 1 | $7,200 | 2018 |
| Clinical Biotechnology Research 47-5407453 | A | Charleston, SC | 1 | $5,100 | 2018 |
Match tier: A Reported EIN · B Exact name and place · C Strong name match · D Probable name match · U Unresolved. Tiers C and D are inferred, not reported; see how matching works.
Every grant
All 21 grant rows this organization reported, most recent first.
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2024 | Brigham & Womens Hospital Boston, MA | A | $444,500 | paid | Research | 202543169349304709 |
| 2024 | Brigham & Women's Physican Group Boston, MA | A | $60,000 | paid | Research | 202543169349304709 |
| 2024 | Yale University New Haven, CT | A | $32,000 | paid | Research | 202543169349304709 |
| 2024 | Stanford University Stanford, CA | A | $30,000 | paid | Research | 202543169349304709 |
| 2023 | Brigham & Womens Hospital Boston, MA | A | $770,000 | paid | Research | 202403189349302720 |
| 2022 | Brigham & Womens Hospital Boston, MA | A | $305,000 | paid | Research | 202332859349300448 |
| 2022 | Beth Israel Deaconess Medical Center Boston, MA | A | $25,000 | paid | Research | 202332859349300448 |
| 2020 | Uf Foundation Gainesville, FL | A | $162,956 | paid | Research | 202202689349300050 |
| 2020 | Brigham & Womens Hospital Boston, MA | A | $50,000 | paid | Research | 202202689349300050 |
| 2020 | Ku Center for Research Inc Lawrence, KS | A | $40,900 | paid | Research | 202202689349300050 |
| 2018 | Brigham & Womens Hospital Boston, MA | A | $481,300 | paid | Research | 201922349349300027 |
| 2018 | Yale University New Haven, CT | A | $22,200 | paid | Research | 201922349349300027 |
| 2018 | Stanford University Palo Alto, CA | A | $20,000 | paid | Research | 201922349349300027 |
| 2018 | Newburgh Armory Unity New Windsor, NY | A | $10,000 | paid | Research | 201922349349300027 |
| 2018 | University of California Irvine Irvine, CA | A | $9,000 | paid | Research | 201922349349300027 |
| 2018 | University of Southern California Los Angeles, CA | A | $8,400 | paid | Research | 201922349349300027 |
| 2018 | Butler Hospital Providence, RI | A | $8,400 | paid | Research | 201922349349300027 |
| 2018 | University of Wisconsin-Madison Madison, WI | A | $8,400 | paid | Research | 201922349349300027 |
| 2018 | University of Kentucky Lexington, KY | A | $7,200 | paid | Research | 201922349349300027 |
| 2018 | Wake Forest Baptist Health Winston Salem, NC | A | $7,200 | paid | Research | 201922349349300027 |
| 2018 | Clinical Biotechnology Research Charleston, SC | A | $5,100 | paid | Research | 201922349349300027 |
Match tier: A Reported EIN · B Exact name and place · C Strong name match · D Probable name match · U Unresolved. Tiers C and D are inferred, not reported; see how matching works.
Recipient matching for this dataset version has not yet completed its independent precision check. Tier A rows carry the EIN the filer reported; tiers B–D are the matcher's inference and should be read as leads until the check is published on the methodology page.
Source filings
Every figure above is traceable to one of these IRS e-file returns by its OBJECT_ID.
| Form | Tax year | Period end | Filed | Schema | IRS OBJECT_ID |
|---|---|---|---|---|---|
| 990 | 2024 | 2024-12-31 | not stated | 2024v5.2 | 202543169349304709 |
| 990 | 2023 | 2023-12-31 | not stated | 2023v5.1 | 202403189349302720 |
| 990 | 2022 | 2022-12-31 | not stated | 2022v5.0 | 202332859349300448 |
| 990 | 2020 | 2020-12-31 | not stated | 2020v4.1 | 202202689349300050 |
| 990 | 2018 | 2018-12-31 | not stated | 2018v3.1 | 201922349349300027 |
Derived from IRS Form 990 e-file XML; recipient identities from the IRS Exempt Organizations Business Master File. Dataset version 2026.09.0, built 2026-09-03. The same rows as Parquet: manifest; as JSON: /api/funders/043015469.json.
The same organization elsewhere in the program: exempt status and filing health · federal awards · grant guidance · open opportunities.
This is informational only, derived from public data on the dates shown. It is not an eligibility determination, and not legal, tax, or accounting advice. Verify against the official source before relying on it.