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Sarah F Muldoon

Biographic Data

ID5009792
NAMESarah F Muldoon
GIVEN NAMESSarah F
FAMILY NAMEMuldoon
SIGNATUREMULDOON S F
AFFILIATIONSUniversity at Buffalo, State University of New York
ORCID0000-0002-2830-9291
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS7
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Speech in noise listening correlates identified in resting state and DTI MRI images

    Open Access•David S Wack, Ferdinand Schweser et al.•ARTICLE•Brain and Language•2025•References: 59

    This study presents an examination of the neural connectivity associated with processing speech in noisy environments, an ability that declines with age. We correlated subjects' speech-in-noise (SIN) ability with resting-state MRI scans and Fractional Anisotropy (FA) values from the auditory section of the corpus callosum, both with and without correcting for age. The results revealed that subjects who performed poorly on the right ear SIN test (…

  • Network and Multilayer Network Approaches to Understanding Human Brain Dynamics

    Open Access•Sarah F Muldoon, Danielle S Bassett•ARTICLE•Philosophy of Science•2016•Cited by: 7•References: 54

    Network neuroscience provides a systems approach to the study of the brain and enables the examination of interactions measured at different temporal and spatial scales. We review current methods to quantify the structure of brain networks and compare that structure across different clinical cohorts, cognitive states, and subjects. We further introduce the emerging mathematical concept of multilayer networks and describe the advantages of this ap…

  • Network and Multilayer Network Approaches to Understanding Human Brain Dynamics

    Open Access•Sarah F Muldoon, Danielle S Bassett•ARTICLE•Philosophy of Science•2016•Cited by: 7•References: 54

    Network neuroscience provides a systems approach to the study of the brain and enables the examination of interactions measured at different temporal and spatial scales. We review current methods to quantify the structure of brain networks and compare that structure across different clinical cohorts, cognitive states, and subjects. We further introduce the emerging mathematical concept of multilayer networks and describe the advantages of this ap…

  • Network and Multilayer Network Approaches to Understanding Human Brain Dynamics

    Open Access•Sarah F Muldoon, Danielle S Bassett•ARTICLE•Philosophy of Science•2016•Cited by: 7•References: 54

    Network neuroscience provides a systems approach to the study of the brain and enables the examination of interactions measured at different temporal and spatial scales. We review current methods to quantify the structure of brain networks and compare that structure across different clinical cohorts, cognitive states, and subjects. We further introduce the emerging mathematical concept of multilayer networks and describe the advantages of this ap…

  • Speech in noise listening correlates identified in resting state and DTI MRI images

    Open Access•David S Wack, Ferdinand Schweser et al.•ARTICLE•Brain and Language•2025•References: 59

    This study presents an examination of the neural connectivity associated with processing speech in noisy environments, an ability that declines with age. We correlated subjects' speech-in-noise (SIN) ability with resting-state MRI scans and Fractional Anisotropy (FA) values from the auditory section of the corpus callosum, both with and without correcting for age. The results revealed that subjects who performed poorly on the right ear SIN test (…

Artificial Intelligence (2 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Neuroscience (2 works) · Psychology (2 works) · Active listening (1 work) · Audiology (1 work) · Brain function (1 work) · Brain Structure and Function (1 work) · Cognition (1 work)

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