Wednesday, January 15, 2025 1/15/2025

Pediatric Chronic Headache and COVID-19: Use of Machine Learning and Biobehavioral Analysis to Classify Headache Mechanism and Optimize Treatment Course.

Award Number: R01NS125265
ORGANIZATION: NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

Group Awards By:

View Award Abstract

Chronic pain experienced by children has the potential to persist into adulthood and drive drug addiction, mental health problems and suicidal behavior. The level of pain reported by children who experience headache is immense and likely poorly estimated based on lowered ability of children to articulate symptoms, potential malingering or underreporting of pain symptoms, and extensive variability in physical growth and brain development. Headache is a frequently reported and poorly understood primary and secondary disorder in pediatric subjects. The diverse presentation of headache underscores the potential for distinct mechanisms of headache presentation, thus placing emphasis on tailored treatment options. There is clear need to better define childhood headache in terms of the clinical presentation and underlying pain physiology. Our hypothesis is that each clinical headache disorder can be defined by unique biobehavioral characteristics. In the proposed research program, we (Aim 1) evaluate the clinical and behavioral elements of each headache disorder and pain modulation, (Aim 2) the biobehavioral signature of treatment refractory headache, and (Aim 3) develop machine learning classifiers to understand the features that differentiate headache subtype and treatment resistance. This study is likely to yield highly relevant information that will contribute towards identifying and treating headache disorders in children, identifying unique characteristics of headache and pain processing, and (3) outline biobehavioral targets for different headache disorders. Data from this investigation is likely to contribute greatly towards the treatment of pediatric pain disorders.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2024 ( Subtotal = $523,414 )
2024	2024	CHILDREN'S HOSPITAL CORPORATION, THE	300 LONGWOOD AVE	BOSTON	MA	02115	SUFFOLK	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	3	5/22/2024	NON-COMPETING CONTINUATION	$523,414
														Subtotal = $523,414

Issue Date FY: 2023 ( Subtotal = $539,602 )
2023	2023	CHILDREN'S HOSPITAL CORPORATION, THE	300 LONGWOOD AVE	BOSTON	MA	02115	SUFFOLK	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	2	5/31/2023	NON-COMPETING CONTINUATION	$539,602
														Subtotal = $539,602

Issue Date FY: 2022 ( Subtotal = $537,413 )
2022	2022	CHILDREN'S HOSPITAL CORPORATION, THE	300 LONGWOOD AVE	BOSTON	MA	02115	SUFFOLK	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	1	8/17/2022	NEW	$537,413
														Subtotal = $537,413

Grand Total All Awards = $1,600,429

Top

All Categories

About

Search

Reports

Data Submission

Award Information

Pediatric Chronic Headache and COVID-19: Use of Machine Learning and Biobehavioral Analysis to Classify Headache Mechanism and Optimize Treatment Course.

Award Number: R01NS125265

ORGANIZATION: NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

Federal Websites

Department of Health & Human Services

HHS Operating Divisions

HHS Staff Divisions

Download A Document Viewer