Zobrazeno 1 - 10
of 568
pro vyhledávání: '"Ian H Gotlib"'
Publikováno v:
Methodology, Vol 20, Iss 2, Pp 121-143 (2024)
Identifying significant predictors of behavioral outcomes is of great interest in many psychological studies. Lasso regression, as an alternative to stepwise regression for variable selection, has started gaining traction among psychologists. Yet, fu
Externí odkaz:
https://doaj.org/article/f4399274a5db42f4bcbc45905202287e
Autor:
Matthew D Sacchet, Gautam ePrasad, Lara Catherine Foland-Ross, Paul M. Thompson, Ian H Gotlib
Publikováno v:
Frontiers in Psychiatry, Vol 6 (2015)
Recently there has been considerable interest in understanding brain networks in Major Depressive Disorder (MDD). Neural pathways can be tracked in the living brain using diffusion weighted imaging (DWI); graph theory can then be used to study proper
Externí odkaz:
https://doaj.org/article/7219035c7409455d81ca384f68d2537d
Autor:
Rachel H Jacobs, Lisanne M Jenkins, Laura B Gabriel, Alyssa Barba, Kelly A Ryan, Sara L Weisenbach, Alvaro Verges, Amanda M Baker, Amy T Peters, Natania A Crane, Ian H Gotlib, Jon-Kar Zubieta, K Luan Phan, Scott A Langenecker, Robert C Welsh
Publikováno v:
PLoS ONE, Vol 9, Iss 8, p e104366 (2014)
Functional connectivity MRI (fcMRI) studies of individuals currently diagnosed with major depressive disorder (MDD) document hyperconnectivities within the default mode network (DMN) and between the DMN and salience networks (SN) with regions of the
Externí odkaz:
https://doaj.org/article/ab6e2085de144175bf62f1488f0992df
Publikováno v:
Biological Psychiatry Global Open Science, Vol 4, Iss 4, Pp 100322- (2024)
Background: Exposure to environmental pollutants early in life has been associated with increased prevalence and severity of depression in adolescents; however, the neurobiological mechanisms underlying this association are not well understood. In th
Externí odkaz:
https://doaj.org/article/8cef19e444484706a5a3a770c9eda45c
Autor:
Jonas G. Miller, Peter D. Gluckman, Marielle V. Fortier, Yap Seng Chong, Michael J. Meaney, Ai Peng Tan, Ian H. Gotlib
Publikováno v:
Developmental Cognitive Neuroscience, Vol 67, Iss , Pp 101392- (2024)
Early life adversity has been posited to influence the pace of structural neurodevelopment. Most research, however, has relied on cross-sectional data, which do not reveal whether the pace of neurodevelopmental change is accelerated or slowed followi
Externí odkaz:
https://doaj.org/article/bcfb02ff17a0429f96c48d6bc47e5f05
Autor:
Vladimir Belov, Tracy Erwin-Grabner, Moji Aghajani, Andre Aleman, Alyssa R. Amod, Zeynep Basgoze, Francesco Benedetti, Bianca Besteher, Robin Bülow, Christopher R. K. Ching, Colm G. Connolly, Kathryn Cullen, Christopher G. Davey, Danai Dima, Annemiek Dols, Jennifer W. Evans, Cynthia H. Y. Fu, Ali Saffet Gonul, Ian H. Gotlib, Hans J. Grabe, Nynke Groenewold, J Paul Hamilton, Ben J. Harrison, Tiffany C. Ho, Benson Mwangi, Natalia Jaworska, Neda Jahanshad, Bonnie Klimes-Dougan, Sheri-Michelle Koopowitz, Thomas Lancaster, Meng Li, David E. J. Linden, Frank P. MacMaster, David M. A. Mehler, Elisa Melloni, Bryon A. Mueller, Amar Ojha, Mardien L. Oudega, Brenda W. J. H. Penninx, Sara Poletti, Edith Pomarol-Clotet, Maria J. Portella, Elena Pozzi, Liesbeth Reneman, Matthew D. Sacchet, Philipp G. Sämann, Anouk Schrantee, Kang Sim, Jair C. Soares, Dan J. Stein, Sophia I. Thomopoulos, Aslihan Uyar-Demir, Nic J. A. van der Wee, Steven J. A. van der Werff, Henry Völzke, Sarah Whittle, Katharina Wittfeld, Margaret J. Wright, Mon-Ju Wu, Tony T. Yang, Carlos Zarate, Dick J. Veltman, Lianne Schmaal, Paul M. Thompson, Roberto Goya-Maldonado, the ENIGMA Major Depressive Disorder working group
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Machine learning (ML) techniques have gained popularity in the neuroimaging field due to their potential for classifying neuropsychiatric disorders. However, the diagnostic predictive power of the existing algorithms has been limited by smal
Externí odkaz:
https://doaj.org/article/da78bdb629a3452faf57ce1549e6ab7a
Autor:
Artenisa Kulla, Saché Coury, Jordan M. Garcia, Giana I. Teresi, Lucinda M. Sisk, Melissa Hansen, Jonas G. Miller, Ian H. Gotlib, Tiffany C. Ho
Publikováno v:
Biological Psychiatry Global Open Science, Vol 4, Iss 1, Pp 61-72 (2024)
Background: Neighborhood- or area-level socioeconomic disadvantage is associated with neural alterations across the life span. However, few studies have examined the effects of neighborhood disadvantage on white matter microstructure during adolescen
Externí odkaz:
https://doaj.org/article/ebe6ae5622eb4e0f8607477860791eee
Publikováno v:
Frontiers in Psychology, Vol 3 (2012)
Researchers using experimental paradigms to examine cognitive processes have demonstrated that Major Depressive Disorder (MDD) is associated not with a general deficit in cognitive functioning, but instead with more specific anomalies in the processi
Externí odkaz:
https://doaj.org/article/c25ee68a3c1a4ab586a6952d29d59d63
Publikováno v:
Frontiers in Psychology, Vol 2 (2011)
Ordinary variations in human infants’ attachment behaviors—their proclivity to seek and accept comfort from caregivers—are associated with a wide range of individual differences in psychological functioning in adults. The current investigation
Externí odkaz:
https://doaj.org/article/5b11fbfad1cc4fd284f6d6d895099642
Publikováno v:
Frontiers in Human Neuroscience, Vol 3 (2009)
A specific polymorphism of the brain-derived neurotrophic factor (BDNF) gene is associated with alterations in brain anatomy and memory; its relevance to the functional connectivity of brain networks, however, is unclear. Given that altered hippocamp
Externí odkaz:
https://doaj.org/article/fc3fc18b3e6840abba4e77c04496dd99