Hoʻoponopono Sci. 2014 Mei 22; 4: 5027. hoʻopiʻi: 10.1038 / srep05027.
Li B1, Fristona KJ2, Liu J1, Liu Y3, Zhang G3, Cao F4, Su L4, Yao S4, Lu H3, Hu D5.
Ka mea kākau moʻolelo
- 11] Ke Kula ʻo Biomedical Engineering, ʻehā University Medical Medical, Xiʻan, Shaanxi, 710032, Kina [2] Keʻena ʻo Makuahine, College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan 410073, PR Kina.
- 2ʻO Ka Hale Paʻi Kumuhana Maikaʻi no Neuroimaging, ʻO Ke Kulanui ʻO Kālepa, ʻOle Pelekane, London WC1N 3BG UK.
- 3Kula o Biomedical Engineering, Ke Kula Nui Lapaʻau Koa ʻEhā, Xiʻan, Shaanxi, 710032, Kina.
- 4ʻO ka haukapila Xiangya lua o ke Kulanui o Central South, Changsha, Kina.
- 5Ke Keʻena o ka Mana Oihana, Kāleke o Mechatronics a me ka Automation, National University of Defense Technology, Changsha, Hunan 410073, PR China.
Hōʻuluʻulu Manaʻo
ʻO ka hoʻomaopopo ʻana i ke kumu kūloko o ka mana o ka hoʻopihapiha ʻole i ka addiction pūnaewele (IA) i mea nui no ka hoʻomaopopo ʻana i ka hana neurobiological o kēia maʻi. Ua hōʻike ʻia ka noiʻi ʻana i ke ʻano o ka ala o ke ala neuronal i ke ʻano o ka pale ʻana i ke kī ʻana i loko o ka hoʻohana ʻana i ka paradigm Go-Stop a me ka hana mimic résonance imaging (fMRI). ^ E Ha yM. He iwakāluakūmākahi mau kumuhana mālama 15.2 ± 0.5 mau makahiki (ʻ meanlelo ± SD) a he ʻumikumamāwalu mau kumuhana IA e piha ana i ka makahiki 15.1 ± 1.4. Hoʻopili maikaʻi ʻia ka hoʻohui ʻana ma waena o ke kālai 'ana i ka pane ʻana me ka (stochastic) kaila kumu kumu kumu kumu (DCM).
Ua hōʻikeʻia ma nā hopena ua hanaʻia ke alahele o ka gangliaʻaoʻao mua-basal e ka paneʻoleʻana i nā mea olakino. Eia naʻe,ʻaʻole mākou iʻike i kahi pilina kūlike like me ka hui IA. Hōʻike kēia i nā kumuhana IA ke aʻoʻole i kēia ala a me ka hōʻeha i nā hana i makemakeʻoleʻia. ʻO kēia haʻawina e hāʻawi ana i kahi loulou maʻemaʻe ma waena o ka pūnaewele ma muli o ka maʻi kūlohelohe a me ka hui pūmau i ka pūnaewele hōʻailona pane.
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