FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2942070823> ?p ?o ?g. }

• W2942070823 endingPage "48" @default.
• W2942070823 startingPage "37" @default.
• W2942070823 abstract "In recent years, a number of studies have reported on the existence of time-varying functional connectivity (TVC) in resting-state functional magnetic resonance imaging (rs-fMRI) data. The sliding-window technique is currently one of the most commonly used methods to estimate TVC. Although previous studies have shown that autocorrelation can negatively impact estimates of static functional connectivity, its impact on TVC estimates is not well known at this time. In this paper, we show both theoretically and empirically that the existence of autocorrelation within a time series can inflate the sampling variability of TVC estimated using the sliding-window technique. This can in turn increase the risk of misinterpreting noise as true TVC and negatively impact subsequent estimation of whole-brain time-varying FC profiles, or brain states. The latter holds as more variable input measures lead to more variable output measures in the state estimation procedure. Finally, we demonstrate that prewhitening the data prior to analysis can lower the variance of the estimated TVC and improve brain state estimation. These results suggest that careful consideration is required when making inferences on TVC." @default.
• W2942070823 created "2019-05-03" @default.
• W2942070823 creator A5010490290 @default.
• W2942070823 creator A5045394227 @default.
• W2942070823 creator A5063342217 @default.
• W2942070823 creator A5074044378 @default.
• W2942070823 date "2019-08-01" @default.
• W2942070823 modified "2023-10-14" @default.
• W2942070823 title "Investigating the impact of autocorrelation on time-varying connectivity" @default.
• W2942070823 cites W1552598564 @default.
• W2942070823 cites W1560536095 @default.
• W2942070823 cites W1580731962 @default.
• W2942070823 cites W1669444220 @default.
• W2942070823 cites W1921779474 @default.
• W2942070823 cites W1964777591 @default.
• W2942070823 cites W1967375997 @default.
• W2942070823 cites W1968248619 @default.
• W2942070823 cites W1973741448 @default.
• W2942070823 cites W1976623182 @default.
• W2942070823 cites W1978660262 @default.
• W2942070823 cites W1980262550 @default.
• W2942070823 cites W1985327120 @default.
• W2942070823 cites W1988563570 @default.
• W2942070823 cites W1991844483 @default.
• W2942070823 cites W1996196481 @default.
• W2942070823 cites W2007894316 @default.
• W2942070823 cites W2021189660 @default.
• W2942070823 cites W2023095826 @default.
• W2942070823 cites W2037035617 @default.
• W2942070823 cites W2055193346 @default.
• W2942070823 cites W2058187841 @default.
• W2942070823 cites W2064222587 @default.
• W2942070823 cites W2066494844 @default.
• W2942070823 cites W2069908974 @default.
• W2942070823 cites W2082207932 @default.
• W2942070823 cites W2088272457 @default.
• W2942070823 cites W2092872141 @default.
• W2942070823 cites W2096545952 @default.
• W2942070823 cites W2103080799 @default.
• W2942070823 cites W2108384452 @default.
• W2942070823 cites W2116649573 @default.
• W2942070823 cites W2124187669 @default.
• W2942070823 cites W2126156582 @default.
• W2942070823 cites W2140854449 @default.
• W2942070823 cites W2142566135 @default.
• W2942070823 cites W2150023439 @default.
• W2942070823 cites W2170702893 @default.
• W2942070823 cites W2180423080 @default.
• W2942070823 cites W2516718464 @default.
• W2942070823 cites W2563279629 @default.
• W2942070823 cites W2733595594 @default.
• W2942070823 cites W2759001423 @default.
• W2942070823 cites W2765216222 @default.
• W2942070823 cites W2802053923 @default.
• W2942070823 cites W2909259044 @default.
• W2942070823 cites W2971002144 @default.
• W2942070823 cites W2995313551 @default.
• W2942070823 cites W4230920194 @default.
• W2942070823 cites W4237834121 @default.
• W2942070823 cites W4249760698 @default.
• W2942070823 cites W61705880 @default.
• W2942070823 doi "https://doi.org/10.1016/j.neuroimage.2019.04.042" @default.
• W2942070823 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6684286" @default.
• W2942070823 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31022568" @default.
• W2942070823 hasPublicationYear "2019" @default.
• W2942070823 type Work @default.
• W2942070823 sameAs 2942070823 @default.
• W2942070823 citedByCount "16" @default.
• W2942070823 countsByYear W29420708232020 @default.
• W2942070823 countsByYear W29420708232021 @default.
• W2942070823 countsByYear W29420708232022 @default.
• W2942070823 countsByYear W29420708232023 @default.
• W2942070823 crossrefType "journal-article" @default.
• W2942070823 hasAuthorship W2942070823A5010490290 @default.
• W2942070823 hasAuthorship W2942070823A5045394227 @default.
• W2942070823 hasAuthorship W2942070823A5063342217 @default.
• W2942070823 hasAuthorship W2942070823A5074044378 @default.
• W2942070823 hasBestOaLocation W29420708232 @default.
• W2942070823 hasConcept C102392041 @default.
• W2942070823 hasConcept C105795698 @default.
• W2942070823 hasConcept C111919701 @default.
• W2942070823 hasConcept C115961682 @default.
• W2942070823 hasConcept C121955636 @default.
• W2942070823 hasConcept C134306372 @default.
• W2942070823 hasConcept C140779682 @default.
• W2942070823 hasConcept C144133560 @default.
• W2942070823 hasConcept C149782125 @default.
• W2942070823 hasConcept C154945302 @default.
• W2942070823 hasConcept C15744967 @default.
• W2942070823 hasConcept C169760540 @default.
• W2942070823 hasConcept C182365436 @default.
• W2942070823 hasConcept C196083921 @default.
• W2942070823 hasConcept C2778751112 @default.
• W2942070823 hasConcept C2781312939 @default.
• W2942070823 hasConcept C33923547 @default.
• W2942070823 hasConcept C41008148 @default.
• W2942070823 hasConcept C5297727 @default.
• W2942070823 hasConcept C66324658 @default.

• next