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Neuroimage
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August 16, 2022
Peak alpha frequency as a candidate biomarker of pain sensitivity: the importance of distinguishing slow from slowing
Ali Mazaheri, David A Seminowicz, Andrew J Furman
Cognitive, Affective & Behavioral Neuroscience
|
May 17, 2014
Persistent and stable biases in spatial learning mechanisms predict navigational style
Andrew J Furman, Amy M Clements-Stephens, Steven A Marchette, et al.
Cerebral Cortex (New York, N.Y. : 1991)
|
June 28, 2020
Sensorimotor Peak Alpha Frequency Is a Reliable Biomarker of Prolonged Pain Sensitivity
Andrew J Furman, Mariya Prokhorenko, Michael L Keaser, et al.
Scientific Reports
|
December 26, 2019
Neural and behavioral changes driven by observationally-induced hypoalgesia
Nandini Raghuraman, Yang Wang, Lieven A Schenk, et al.
Neurobiology of Pain (Cambridge, Mass.)
|
October 27, 2025
Individual differences in cognitive performance under pain linked to region-specific alpha power modulations
Francesca Storey, Mariya Prokhorenko, Michael L Keaser, et al.
Molecular Pain
|
June 19, 2016
Estrogen-dependent visceral hypersensitivity following stress in rats: An fMRI study
Catherine S Hubbard, Jane M Karpowicz, Andrew J Furman, et al.
Journal of Neurophysiology
|
August 8, 2019
Cerebral peak alpha frequency reflects average pain severity in a human model of sustained, musculoskeletal pain
Andrew J Furman, Tribikram Thapa, Simon J Summers, et al.
Journal of Neuroscience Methods
|
December 10, 2022
The reliability of two prospective cortical biomarkers for pain: EEG peak alpha frequency and TMS corticomotor excitability
Nahian S Chowdhury, Patrick Skippen, Emily Si, et al.
Pain Reports
|
August 9, 2020
A novel cortical biomarker signature for predicting pain sensitivity: protocol for the PREDICT longitudinal analytical validation study
David A Seminowicz, Katarzyna Bilska, Nahian S Chowdhury, et al.
Neuroimage
|
November 28, 2017
Cerebral peak alpha frequency predicts individual differences in pain sensitivity
Andrew J Furman, Timothy J Meeker, Jeremy C Rietschel, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 16) with videos related to
Sort By:
Page
of 2
Neuroimage
|
August 16, 2022
Peak alpha frequency as a candidate biomarker of pain sensitivity: the importance of distinguishing slow from slowing
Ali Mazaheri, David A Seminowicz, Andrew J Furman
Cognitive, Affective & Behavioral Neuroscience
|
May 17, 2014
Persistent and stable biases in spatial learning mechanisms predict navigational style
Andrew J Furman, Amy M Clements-Stephens, Steven A Marchette, et al.
Cerebral Cortex (New York, N.Y. : 1991)
|
June 28, 2020
Sensorimotor Peak Alpha Frequency Is a Reliable Biomarker of Prolonged Pain Sensitivity
Andrew J Furman, Mariya Prokhorenko, Michael L Keaser, et al.
Scientific Reports
|
December 26, 2019
Neural and behavioral changes driven by observationally-induced hypoalgesia
Nandini Raghuraman, Yang Wang, Lieven A Schenk, et al.
Neurobiology of Pain (Cambridge, Mass.)
|
October 27, 2025
Individual differences in cognitive performance under pain linked to region-specific alpha power modulations
Francesca Storey, Mariya Prokhorenko, Michael L Keaser, et al.
Molecular Pain
|
June 19, 2016
Estrogen-dependent visceral hypersensitivity following stress in rats: An fMRI study
Catherine S Hubbard, Jane M Karpowicz, Andrew J Furman, et al.
Journal of Neurophysiology
|
August 8, 2019
Cerebral peak alpha frequency reflects average pain severity in a human model of sustained, musculoskeletal pain
Andrew J Furman, Tribikram Thapa, Simon J Summers, et al.
Journal of Neuroscience Methods
|
December 10, 2022
The reliability of two prospective cortical biomarkers for pain: EEG peak alpha frequency and TMS corticomotor excitability
Nahian S Chowdhury, Patrick Skippen, Emily Si, et al.
Pain Reports
|
August 9, 2020
A novel cortical biomarker signature for predicting pain sensitivity: protocol for the PREDICT longitudinal analytical validation study
David A Seminowicz, Katarzyna Bilska, Nahian S Chowdhury, et al.
Neuroimage
|
November 28, 2017
Cerebral peak alpha frequency predicts individual differences in pain sensitivity
Andrew J Furman, Timothy J Meeker, Jeremy C Rietschel, et al.
Page
of 2