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41Genetic network properties of the human cortex based on regional thickness and surface area measurespor Docherty, Anna R., Sawyers, Chelsea K., Panizzon, Matthew S., Neale, Michael C., Eyler, Lisa T., Fennema-Notestine, Christine, Franz, Carol E., Chen, Chi-Hua, McEvoy, Linda K., Verhulst, Brad, Tsuang, Ming T., Kremen, William S.“…In contrast, previous research with structural data has observed strong rich club properties with tightly interconnected hub networks. Future studies of these genetic networks might provide powerful phenotypes for genetic studies of normal and pathological brain development, aging, and function.…”
Publicado 2015
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42por Mukinda, Fidele Kanyimbu, Djellouli, Nehla, Akter, Kohenour, Sarker, Mithun, Tufa, Asebe Amenu, Mwandira, Kondwani, Seruwagi, Gloria, Kyamulabi, Agnes, Mwaba, Kasonde, Marchant, Tanya, Shawar, Yusra R., English, Mike, Namakula, Hilda, Gonfa, Geremew, Colbourn, Tim, Kinney, Mary V.“…Bangladesh, Malawi and Uganda had multiple-hub networks signifying multiple clusters of actors reflecting facility or district networks, whereas the network in Ethiopia and at global level had more centralized networks. …”
Publicado 2023
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43por Latina, Roberto, Varrassi, Giustino, Di Biagio, Ettore, Giannarelli, Diana, Gravante, Francesco, Paladini, Antonella, D’Angelo, Daniela, Iacorossi, Laura, Martella, Cristina, Alvaro, Rosaria, Ivziku, Dhurata, Veronese, Nicola, Barbagallo, Mario, Marchetti, Anna, Notaro, Paolo, Terrenato, Irene, Tarsitani, Gianfranco, De Marinis, Maria Grazia“…Moreover, it is not clear how patients are addressed to access different pain clinics (spoke versus hub) networks. More widespread adoption is needed for an interdisciplinary approach to managing chronic pain and adopting guideline recommendations, and rigorous research is required to provide more substantial evidence and support clinical practice. …”
Publicado 2022
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44por Hu, Bo, Ge, Wen, Wang, Yuliang, Zhang, Xiaobin, Li, Tao, Cui, Hui, Qian, Yongjun, Zhang, Yangyang, Li, Zhi“…For example, Taurine, D-Threitol, L-Rhamnose, and DL-lactate played crucial roles in valvular AF, while Glycerol-3-phosphate dehydrogenase, Inorganic pyrophosphatase 2, Hydroxymethylglutaryl-CoAlyase, and Deoxyuridine 5-triphosphate nucleotidohydrolase were crucial in non-valvular AF. Then two hub networks were recognized as potential biomarkers, which can effectively distinguish valvular AF and non-valvular persistent AF from SR samples, with areas under curve of 0.75 and 0.707, respectively. …”
Publicado 2021
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