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Wyświetlanie 1-16 z 16
Tytuł :
The relevance of transdiagnostic shared networks to the severity of symptoms and cognitive deficits in schizophrenia: a multimodal brain imaging fusion study
Autorzy :
Qi, Shile
Bustillo, Juan
Turner, Jessica A.Aff1, Aff3
Jiang, RongtaoAff4, Aff5
Zhi, DongmeiAff4, Aff5
Fu, Zening
Deramus, Thomas P.
Vergara, Victor
Ma, XiaohongAff6, Aff7
Yang, XiaoAff6, Aff7
Stevens, Mike
Zhuo, Chuanjun
Xu, Yong
Calhoun, Vince D.Aff1, Aff3
Sui, JingAff4, Aff5, Aff11
Pokaż więcej
Źródło :
Translational Psychiatry. 10(1)
Czasopismo naukowe
Tytuł :
Parallel group ICA+ICA: Joint estimation of linked functional network variability and structural covariation with application to schizophrenia.
Autorzy :
Qi, Shile
Sui, Jing
Chen, Jiayu
Liu, Jingyu
Jiang, Rongtao
Silva, Rogers
Iraji, Armin
Damaraju, Eswar
Salman, Mustafa
Lin, Dongdong
Fu, Zening
Zhi, Dongmei
Turner, Jessica A
Bustillo, Juan
Ford, Judith M
Mathalon, Daniel H
Voyvodic, James
McEwen, Sarah
Preda, Adrian
Belger, Aysenil
Potkin, Steven G
Mueller, Bryon A
Adali, Tulay
Calhoun, Vince D
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Temat :
Neurosciences
Magnetic Resonance Imaging
Theoretical
Mental Health
Nerve Net
Young Adult
schizophrenia
Diagnostic Radiology
Functional Neuroimaging
Computer-Assisted
subjects' variability
Brain Disorders
parallel independent component analysis
Computer Simulation
Clinical Trials
Cognitive Sciences
Female
Image Processing
Models
multimodal fusion
temporal information
group independent component analysis
Phase III as Topic
Middle Aged
Experimental Psychology
Clinical Research
Biomedical Imaging
Adult
Humans
Male
Źródło :
Qi, Shile; Sui, Jing; Chen, Jiayu; Liu, Jingyu; Jiang, Rongtao; Silva, Rogers; et al.(2019). Parallel group ICA+ICA: Joint estimation of linked functional network variability and structural covariation with application to schizophrenia.. Human brain mapping. doi: 10.1002/hbm.24632. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/8dt1h1dd
Human brain mapping, vol 40, iss 13
Opis pliku :
application/pdf
Tytuł :
Parallel group ICA+ICA: Joint estimation of linked functional network variability and structural covariation with application to schizophrenia.
Autorzy :
Qi, Shile
Sui, Jing
Chen, Jiayu
Liu, Jingyu
Jiang, Rongtao
Silva, Rogers
Iraji, Armin
Damaraju, Eswar
Salman, Mustafa
Lin, Dongdong
Fu, Zening
Zhi, Dongmei
Turner, Jessica A.
Bustillo, Juan
Ford, Judith M.
Mathalon, Daniel H.
Voyvodic, James
McEwen, Sarah
Preda, Adrian
Belger, Aysenil
Pokaż więcej
Temat :
INDEPENDENT component analysis
FUNCTIONAL magnetic resonance imaging
SCHIZOPHRENIA
DIAGNOSTIC imaging
BRAIN imaging
Źródło :
Human Brain Mapping; Sep2019, Vol. 40 Issue 13, p3795-3809, 15p
Czasopismo naukowe
Tytuł :
Reward Processing in Novelty Seekers: A Transdiagnostic Psychiatric Imaging Biomarker.
Autorzy :
Qi S; Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia Institute of Technology, Georgia State University, and Emory University, Atlanta, Georgia.
Schumann G; Centre for Population Neuroscience and Stratified Medicine, Institute for Science and Technology of Brain-Inspired Intelligence, Fudan University, Shanghai, China; Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Campus Charité Mitte, Berlin, Germany.
Bustillo J; Department of Psychiatry, University of New Mexico, Albuquerque, New Mexico.
Turner JA; Department of Psychology, Georgia State University, Atlanta, Georgia.
Jiang R; Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Zhi D; Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Fu Z; Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia Institute of Technology, Georgia State University, and Emory University, Atlanta, Georgia.
Mayer AR; Department of Psychiatry, University of New Mexico, Albuquerque, New Mexico.
Vergara VM; Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia Institute of Technology, Georgia State University, and Emory University, Atlanta, Georgia.
Silva RF; Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia Institute of Technology, Georgia State University, and Emory University, Atlanta, Georgia.
Iraji A; Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia Institute of Technology, Georgia State University, and Emory University, Atlanta, Georgia.
Chen J; Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia Institute of Technology, Georgia State University, and Emory University, Atlanta, Georgia.
Damaraju E; Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia Institute of Technology, Georgia State University, and Emory University, Atlanta, Georgia.
Ma X; Psychiatric Laboratory and Mental Health Center, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China.
Yang X; Psychiatric Laboratory and Mental Health Center, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China.
Stevens M; Olin Neuropsychiatry Research Center, Hartford, Connecticut.
Mathalon DH; Department of Psychiatry, University of California San Francisco, San Francisco, California.
Ford JM; Department of Psychiatry, University of California San Francisco, San Francisco, California.
Voyvodic J; Department of Radiology, Duke University, Durham, North Carolina.
Mueller BA; Department of Psychiatry, University of Minnesota, Minneapolis, Minnesota.
Belger A; Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Potkin SG; Department of Psychiatry, University of California Irvine, Irvine, California.
Preda A; Department of Psychiatry, University of California Irvine, Irvine, California.
Zhuo C; Department of Psychiatric-Neuroimaging-Genetics and Morbidity Laboratory, Nankai University Affiliated Anding Hospital, Tianjin, China.
Xu Y; Department of Humanities and Social Science, Shanxi Medical University, Taiyuan, China.
Chu C; Centre for Population Neuroscience and Stratified Medicine, Institute for Science and Technology of Brain-Inspired Intelligence, Fudan University, Shanghai, China; Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Campus Charité Mitte, Berlin, Germany.
Banaschewski T; Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Barker GJ; Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.
Bokde ALW; Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.
Quinlan EB; Centre for Population Neuroscience and Stratified Medicine, Institute for Science and Technology of Brain-Inspired Intelligence, Fudan University, Shanghai, China; Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Campus Charité Mitte, Berlin, Germany.
Desrivières S; Centre for Population Neuroscience and Stratified Medicine, Institute for Science and Technology of Brain-Inspired Intelligence, Fudan University, Shanghai, China; Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Campus Charité Mitte, Berlin, Germany.
Flor H; Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany.
Grigis A; NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France.
Garavan H; Departments of Psychiatry and Psychology, University of Vermont, Burlington, Vermont.
Gowland P; Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom.
Heinz A; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Berlin, Germany.
Martinot JL; Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 'Neuroimaging & Psychiatry,' University Paris-Saclay, Paris, France.
Paillère Martinot ML; Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 'Neuroimaging & Psychiatry,' University Paris-Saclay, Paris, France.
Artiges E; Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 'Neuroimaging & Psychiatry,' University Paris-Saclay, Paris, France.
Nees F; Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Orfanos DP; NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France.
Paus T; Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital and Departments of Psychology and Psychiatry, University of Toronto, Toronto, Ontario, Canada.
Poustka L; Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Göttingen, Germany.
Hohmann S; Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Fröhner JH; Institute for Science and Technology of Brain-Inspired Intelligence, Fudan University, Shanghai, China.
Smolka MN; Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany.
Walter H; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Berlin, Germany.
Whelan R; PONS Research Group, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Humboldt University, Berlin, Germany.
Calhoun VD; Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia Institute of Technology, Georgia State University, and Emory University, Atlanta, Georgia; Department of Psychology, Georgia State University, Atlanta, Georgia. Electronic address: .
Sui J; Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia Institute of Technology, Georgia State University, and Emory University, Atlanta, Georgia; Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China. Electronic address: .
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Corporate Authors :
IMAGEN Consortium
Źródło :
Biological psychiatry [Biol Psychiatry] 2021 Jan 30. Date of Electronic Publication: 2021 Jan 30.
Typ publikacji :
Journal Article
Czasopismo naukowe
Tytuł :
Aberrant dynamic functional connectivity of default mode network predicts symptom severity in major depressive disorder.
Autorzy :
Sendi MSE; Georgia Institute of Technology, 1372, Wallace H. Coulter Department of Biomedical Engineering , Atlanta, Georgia, United States.; Emory University, 1371, Wallace H. Coulter Department of Biomedical Engineering , Atlanta, Georgia, United States.; Georgia Institute of Technology College of Engineering, 115724, Electrical and Computer Engineering , Atlanta, Georgia, United States.; Tri-institutional Center for Translational Research in Neuroimaging and Data Science: Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA., Atlanta, Georgia, United States; .
Zendehrouh E; Georgia State University, 1373, Computer Science, Atlanta, Georgia, United States; .
Sui J; Tri-institutional Center for Translational Research in Neuroimaging and Data Science: Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA., Atlanta, Georgia, United States.; Chinese Academy of Sciences, 12381, Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Beijing, Beijing, China.; University of the Chinese Academy of Sciences, 74519, Beijing, Beijing, China.; Chinese Academy of Sciences, 12381, CAS Centre for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Beijing, Beijing, China; .
Fu Z; Tri-institutional Center for Translational Research in Neuroimaging and Data Science: Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA., Atlanta, Georgia, United States; .
Zhi D; Tri-institutional Center for Translational Research in Neuroimaging and Data Science: Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA., Atlanta, Georgia, United States.; Chinese Academy of Sciences, 12381, Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Beijing, Beijing, China.; University of the Chinese Academy of Sciences, 74519, Beijing, Beijing, China; .
Lv L; Xinxiang Medical University Affiliated Second Hospital, 34727, Department of Psychiatry, Xinxiang, Henan, China.; Xinxiang Medical University, 91593, Henan Key Lab of Biological Psychiatry, Xinxiang, Henan, China; .
Ma X; Sichuan University West China Hospital, 34753, Psychiatric Laboratory and Mental Health Center, Chengdu, Sichuan, China.; Sichuan University West China Hospital, 34753, Huaxi Brain Research Center, Chengdu, Sichuan, China; .
Ke Q; Zhejiang University School of Medicine, 26441, Department of Neurology, Hangzhou, Zhejiang, China; .
Li X; Capital Medical University, 12517, Beijing Key Lab of Mental Disorders, Beijing, China; .
Wang C; Capital Medical University, 12517, Beijing Key Lab of Mental Disorders, Beijing, China; .
Abbott C; University of New Mexico, Department of Psychiatry, Center for Psychiatric Research, MSC11 6035, 1101 Yale Bldv NE, Albuquerque, New Mexico, United States, 87131; .
Turner JA; Georgia State University, Neuroscience, Atlanta, Georgia, United States.; Tri-institutional Center for Translational Research in Neuroimaging and Data Science: Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA., Atlanta, Georgia, United States.; Georgia State University, 1373, Psychology , Atlanta, Georgia, United States; .
Miller RL; Georgia State University, 1373, Computer Science, Atlanta, Georgia, United States.; Tri-institutional Center for Translational Research in Neuroimaging and Data Science: Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA., Atlanta, Georgia, United States; .
Calhoun V; Georgia Institute of Technology, 1372, Electrical and Computer Engineering , Atlanta, Georgia, United States.; Tri-institutional Center for Translational Research in Neuroimaging and Data Science: Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA., Atlanta, Georgia, United States.; Georgia Institute of Technology, 1372, Wallace H. Coulter Department of Biomedical Engineering , Atlanta, Georgia, United States.; Georgia State University, 1373, Computer Science, Atlanta, Georgia, United States; .
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Źródło :
Brain connectivity [Brain Connect] 2021 Jan 29. Date of Electronic Publication: 2021 Jan 29.
Typ publikacji :
Journal Article
Czasopismo naukowe
Tytuł :
Visualizing Functional Network Connectivity Difference between Healthy Control and Major Depressive Disorder Using an Explainable Machine-learning Method.
Autorzy :
Chun JY
Sendi MSE
Sui J
Zhi D
Calhoun VD
Pokaż więcej
Źródło :
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2020 Jul; Vol. 2020, pp. 1424-1427.
Typ publikacji :
Journal Article
MeSH Terms :
Depressive Disorder, Major*
Brain/diagnostic imaging ; Brain Mapping ; Humans ; Magnetic Resonance Imaging ; Neural Pathways
Czasopismo naukowe
Tytuł :
Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder.
Autorzy :
Zendehrouh E
Sendi MSE
Sui J
Fu Z
Zhi D
Lv L
Ma X
Ke Q
Li X
Wang C
Abbott CC
Turner JA
Miller RL
Calhoun VD
Pokaż więcej
Źródło :
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2020 Jul; Vol. 2020, pp. 1493-1496.
Typ publikacji :
Journal Article
MeSH Terms :
Depressive Disorder, Major*
Brain/diagnostic imaging ; Brain Mapping ; Humans ; Magnetic Resonance Imaging ; Probability
Czasopismo naukowe
Tytuł :
Abnormal Dynamic Functional Network Connectivity and Graph Theoretical Analysis in Major Depressive Disorder.
Autorzy :
Zhi D
Ma X
Lv L
Ke Q
Yang Y
Yang X
Pan M
Qi S
Jiang R
Du Y
Yu Q
Calhoun VD
Jiang T
Sui J
Pokaż więcej
Źródło :
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2018 Jul; Vol. 2018, pp. 558-561.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Cognition*
Depressive Disorder, Major/*physiopathology
Neural Pathways/*physiopathology
Brain/physiopathology ; Brain Mapping ; Case-Control Studies ; Cerebellum/physiopathology ; Humans ; Magnetic Resonance Imaging
Czasopismo naukowe
    Wyświetlanie 1-16 z 16

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