Because of a lapse in government funding, the information on this website may not be up to date, transactions submitted via the website may not be processed, and the agency may not be able to respond to inquiries until appropriations are enacted.
The NIH Clinical Center (the research hospital of NIH) is open. For more details about its operating status, please visit https://cc.nih.gov.
Updates regarding government operating status and resumption of normal operations can be found at https://opm.gov.

Ante la falta de fondos del gobierno federal, no se actualizará este sitio web y la organización no responderá a transacciones ni consultas hasta que se aprueben los fondos.
 El Centro Clínico de los Institutos Nacionales de la Salud  (el hospital de investigación) permanecerá abierto. Consulte https://cc.nih.gov(en inglés)
Infórmese sobre el funcionamiento del gobierno federal y el reinicio de las actividades en https://opm.gov.

Presented: November 2022
Project(s): BOLD Connectivity Dynamics      
Conference/Event: 2022: Society For Neuroscience
Summary:

Previous research has suggested that ongoing in-scanner experience may modulate patterns of functional connectivity during resting-state fMRI (rsfMRI)1,2,3,4. However, the extent to which these experiences contribute to individual variability in rsfMRI functional connectivity (FC) remains unknown. Understanding these phenomena is key to explaining unknown variability in healthy subjects and clinical populations (i.e., biomarkers). To address this knowledge gap, we aim to analyze the relationship between FC and reported in-scanner experiences during resting-state fMRI scans. First, we look for significant differences in FC between scans grouped based on different reported patterns of thought. Then, we demonstrate it is possible to predict reported patterns of thought using FC data.


Presenter(s):
File: SFN_Poster_Spurney_2022_sm.pdf