Search research articles
Contact Us
Filters
Showing results (1-10 of 119) with videos related to
Page
of 12
Sort By:
Biorxiv : the Preprint Server for Biology
|
January 27, 2025
Classifying Mild Cognitive Impairment from Normal Cognition: fMRI Complexity Matches Tau PET Performance
Kay Jann, Gilsoon Park, Hosung Kim, et al.
Obesity (Silver Spring, Md.)
|
October 10, 2024
Distinct functional connectivity phenotypes in preadolescent children with binge eating disorder by BMI status
Trevor Steward, Kay Jann, Stuart B Murray
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology
|
February 7, 2012
Increased phase synchronization during continuous face integration measured simultaneously with EEG and fMRI
Mara Kottlow, Kay Jann, Thomas Dierks, et al.
Frontiers in Human Neuroscience
|
June 5, 2023
Editorial: Neuromodulation in basic, translational and clinical research in psychiatry, volume II
Kay Jann, Ryouhei Ishii, Shun Takahashi, et al.
Frontiers in Neurology
|
March 29, 2024
Editorial: Methodological development and applications of nonlinear dynamic analysis for neuroimaging
Donghui Song, Kay Jann, Danny J J Wang
Alzheimer'S & Dementia (Amsterdam, Netherlands)
|
August 13, 2025
Classifying mild cognitive impairment from normal cognition: fMRI complexity matches tau PET performance
Kay Jann, Gilsoon Park, John M Ringman, et al.
Brain Connectivity
|
June 25, 2015
Characterizing Resting-State Brain Function Using Arterial Spin Labeling
J Jean Chen, Kay Jann, Danny J J Wang
Plos One
|
September 30, 2010
Topographic electrophysiological signatures of FMRI Resting State Networks
Kay Jann, Mara Kottlow, Thomas Dierks, et al.
Neuroimage
|
February 17, 2010
Association of individual resting state EEG alpha frequency and cerebral blood flow
Kay Jann, Thomas Koenig, Thomas Dierks, et al.
Frontiers in Neuroscience
|
December 14, 2018
Imbalance of Functional Connectivity and Temporal Entropy in Resting-State Networks in Autism Spectrum Disorder: A Machine Learning Approach
Robert X Smith, Kay Jann, Mirella Dapretto, et al.
Page
of 12
Search research articles
Search
Showing results (1-10 of 119) with videos related to
Sort By:
Page
of 12
Biorxiv : the Preprint Server for Biology
|
January 27, 2025
Classifying Mild Cognitive Impairment from Normal Cognition: fMRI Complexity Matches Tau PET Performance
Kay Jann, Gilsoon Park, Hosung Kim, et al.
Obesity (Silver Spring, Md.)
|
October 10, 2024
Distinct functional connectivity phenotypes in preadolescent children with binge eating disorder by BMI status
Trevor Steward, Kay Jann, Stuart B Murray
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology
|
February 7, 2012
Increased phase synchronization during continuous face integration measured simultaneously with EEG and fMRI
Mara Kottlow, Kay Jann, Thomas Dierks, et al.
Frontiers in Human Neuroscience
|
June 5, 2023
Editorial: Neuromodulation in basic, translational and clinical research in psychiatry, volume II
Kay Jann, Ryouhei Ishii, Shun Takahashi, et al.
Frontiers in Neurology
|
March 29, 2024
Editorial: Methodological development and applications of nonlinear dynamic analysis for neuroimaging
Donghui Song, Kay Jann, Danny J J Wang
Alzheimer'S & Dementia (Amsterdam, Netherlands)
|
August 13, 2025
Classifying mild cognitive impairment from normal cognition: fMRI complexity matches tau PET performance
Kay Jann, Gilsoon Park, John M Ringman, et al.
Brain Connectivity
|
June 25, 2015
Characterizing Resting-State Brain Function Using Arterial Spin Labeling
J Jean Chen, Kay Jann, Danny J J Wang
Plos One
|
September 30, 2010
Topographic electrophysiological signatures of FMRI Resting State Networks
Kay Jann, Mara Kottlow, Thomas Dierks, et al.
Neuroimage
|
February 17, 2010
Association of individual resting state EEG alpha frequency and cerebral blood flow
Kay Jann, Thomas Koenig, Thomas Dierks, et al.
Frontiers in Neuroscience
|
December 14, 2018
Imbalance of Functional Connectivity and Temporal Entropy in Resting-State Networks in Autism Spectrum Disorder: A Machine Learning Approach
Robert X Smith, Kay Jann, Mirella Dapretto, et al.
Page
of 12