Blar i NTNU Open på forfatter "Chen, Chi-Hua"

Viser treff 1-5 av 5

    • Conservation of Distinct Genetically-Mediated Human Cortical Pattern 

      Qian, Peng; Schork, Andrew J.; Bartsch, Hauke; Lo, Min-Tzu; Panizzon, Matthew S.; Westlye, Lars Tjelta; Kremen, William S.; Jernigan, Terry L.; Le Hellard, Stephanie; Steen, Vidar Martin; Espeseth, Thomas; Huentelman, Matt; Håberg, Asta; Agartz, Ingrid; Djurovic, Srdjan; Andreassen, Ole Andreas; Dale, Anders; Schork, Nicholas J.; Chen, Chi-Hua (Journal article; Peer reviewed, 2016)
      The many subcomponents of the human cortex are known to follow an anatomical pattern and functional relationship that appears to be highly conserved between individuals. This suggests that this pattern and the relationship ...

    • Development and aging of cortical thickness correspond to genetic organization patterns 

      Fjell, Anders Martin; Grydeland, Håkon; Krogsrud, Stine Kleppe; Amlien, Inge Kasbohm; Rohani, Darius Adam; Ferschmann, Lia; Storsve, Andreas Berg; Tamnes, Christian Krog; Sala-Llonch, Roser; Due-Tønnessen, Paulina; Bjørnerud, Atle; Sølsnes, Anne Elisabeth; Håberg, Asta; Skranes, Jon Sverre; Bartsch, Hauke; Chen, Chi-Hua; Thompson, Wesley K.; Panizzon, Matthew S.; Kremen, William S.; Dale, Anders M.; Walhovd, Kristine B (Journal article; Peer reviewed, 2015)
      There is a growing realization that early life influences have lasting impact on brain function and structure. Recent research has demon- strated that genetic relationships in adults can be used to parcellate the cortex ...

    • Large-scale genomics unveil polygenic architecture of human cortical surface area 

      Chen, Chi-Hua; Peng, Qian; Schork, Andrew J.; Lo, Min-Tzu; Fan, Chun-Chieh; Wang, Yunpeng; Desikan, Rahul S.; Bettella, Franscesco; Hagler, Donald J.; Westlye, Lars Tjelta; Kremen, William S.; Jernigan, Terry L.; Le Hellard, Stephanie; Steen, Vidar Martin; Espeseth, Thomas; Huentelman, Matt; Håberg, Asta; Agartz, Ingrid; Djurovic, Srdjan; Andreassen, Ole Andreas; Schork, Nicholas; Dale, Anders (Journal article; Peer reviewed, 2015)
      Little is known about how genetic variation contributes to neuroanatomical variability, and whether particular genomic regions comprising genes or evolutionarily conserved elements are enriched for effects that influence ...

    • Polygenic overlap between C-reactive protein, plasma lipids, and Alzheimer disease 

      Desikan, Rahul S.; Schork, Andrew J.; Wang, Yunpeng; Thompson, Wesley K.; Dehghan, Abbas; Ridker, Paul M.; Chasman, Daniel I.; McEvoy, Linda K.; Holland, Dominic; Chen, Chi-Hua; Karow, David S.; Brewer, James B.; Hess, Christopher P.; Williams, Julie; Sims, Rebecca; O'Donovan, Michael C.; Choi, Seung Hoan; Bis, Joshua C.; Ikram, M. Arfan; Gudnason, Vilmundur; DeStefano, Anita L.; Van Der Lee, Sven J.; Psaty, Bruce M.; Van Duijn, Cornelia M.; Launer, Lenore; Seshadri, Sudha; Pericak-Vance, Margaret A.; Mayeux, Richard; Haines, Jonathan L.; Farrer, Lindsay A.; Hardy, John; Ulstein, Ingun; Aarsland, Dag; Fladby, Tormod; White, Linda; Sando, Sigrid Botne; Rongve, Arvid; Witoelar, Aree; Djurovic, Srdjan; Hyman, Bradley T.; Snædal, Jon; Steinberg, Stacy; Stefansson, Hreinn; Stefánsson, Kári; Schellenberg, Gerard D.; Andreassen, Ole Andreas; Dale, Anders (Journal article; Peer reviewed, 2015)
      Background—Epidemiological findings suggest a relationship between Alzheimer disease (AD), inflammation, and dyslipidemia, although the nature of this relationship is not well understood. We investigated whether this ...

    • Williams Syndrome neuroanatomical score associates with GTF2IRD1 in large-scale magnetic resonance imaging cohorts: A proof of concept for multivariate endophenotypes 

      Fan, Chun Chieh; Schork, Andrew J.; Brown, Timothy T.; Spencer, Barbara E.; Akshoomoff, Natacha; Chen, Chi-Hua; Kuperman, Joshua M.; Hagler, Donald J.; Steen, Vidar Martin; Le Hellard, Stephanie; Håberg, Asta; Espeseth, Thomas; Andreassen, Ole Andreas; Dale, Anders; Jernigan, Terry L.; Halgren, Eric (Journal article; Peer reviewed, 2018)
      Despite great interest in using magnetic resonance imaging (MRI) for studying the effects of genes on brain structure in humans, current approaches have focused almost entirely on predefined regions of interest and had ...