0545849 - ÚI 2022 US eng J - Journal Article
Abbas, A. - Belloy, M.E. - Kashyap, A. - Billings, Jacob - Nezafati, M. - Schumacher, E.H. - Keilholz, S.
Quasi-periodic patterns contribute to functional connectivity in the brain.
Neuroimage. Roč. 191 (2019), s. 193-204. ISSN 1053-8119. E-ISSN 1095-9572
Keywords : resting-state fmri * default mode network * slow eeg fluctuations * spatiotemporal dynamics * optimization * registration * organization * modulation * predict * cortex * Functional connectivity * Resting state * Task * Quasi-periodic patterns * Default mode network * Task positive network
Impact factor: 5.902, year: 2019
DOI: https://doi.org/10.1016/j.neuroimage.2019.01.076

Functional connectivity is widely used to study the coordination of activity between brain regions over time. Functional connectivity in the default mode and task positive networks is particularly important for normal brain function. However, the processes that give rise to functional connectivity in the brain are not fully understood. It has been postulated that low-frequency neural activity plays a key role in establishing the functional architecture of the brain. Quasi-periodic patterns (QPPs) are a reliably observable form of low-frequency neural activity that involve the default mode and task positive networks. Here, QPPs from resting-state and working memory taskperforming individuals were acquired. The spatiotemporal pattern, strength, and frequency of the QPPs between the two groups were compared and the contribution of QPPs to functional connectivity in the brain was measured. In task-performing individuals, the spatiotemporal pattern of the QPP changes, particularly in taskrelevant regions, and the QPP tends to occur with greater strength and frequency. Differences in the QPPs between the two groups could partially account for the variance in functional connectivity between resting-state and task-performing individuals. The QPPs contribute strongly to connectivity in the default mode and task positive networks and to the strength of anti-correlation seen between the two networks. Many of the connections affected by QPPs are also disrupted during several neurological disorders. These findings contribute to understanding the dynamic neural processes that give rise to functional connectivity in the brain and how they may be disrupted during disease.

Permanent Link: http://hdl.handle.net/11104/0322486