| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Yinhuan Xu, Ruiping Zheng, Huirong Guo, Yarui Wei, Baohong Wen, Shufan Dai, Shaoqiang Han, Jingliang Cheng, Yan Zhan. Structural and functional deficits and couplings in severe and moderate OCD. Journal of psychiatric research. vol 160. 2023-03-04. PMID:36870233. |
anova analysis showed that both s-ocd and m-ocd had increased volume in anterior cingulate cortex(acc), left precuneus(l-pre) and paracentral lobule(pcl), postcentral gyrus, left inferior occipital gyrus(l-iog) and right superior occipital gyrus(r-sog) and bilateral cuneus, middle occipital gyrus(mog), and calcarine. |
2023-03-04 |
2023-08-14 |
human |
| Jingying Wu, Yikang Cao, Mengting Li, Binyin Li, Xize Jia, Li Ca. Altered intrinsic brain activity in patients with CSF1R-related leukoencephalopathy. Brain imaging and behavior. 2022-04-07. PMID:35389179. |
reho was decreased in right supplementary motor area, paracentral lobule and precentral gyrus, while increased in right superior occipital gyrus and supramarginal gyrus, left parahippocampal gyrus, hippocampus, fusiform, middle occipital gyrus and angular gyrus, as well as bilateral middle occipital gyrus and midbrain. |
2022-04-07 |
2023-08-13 |
Not clear |
| Jian Zhang, Yujia Zhang, Yun Pan, Yong Xu, Yunzhen Xu. The neural foundation of associative memory: a dynamic functional connectivity study for right-handed young adults. Experimental brain research. vol 239. issue 12. 2021-11-19. PMID:34537860. |
the results demonstrated that (i) connectivity in the left brain included the anterior hippocampus (ahip) and right fusiform (fusiform_r), middle hippocampus (mhip) and right inferior parietal lobule (ipl_r), posterior hippocampus (phip) and left inferior parietal lobule (ipl_l), perirhinal cortex (prc) and left supramarginal gyrus (smg_l), entorhinal cortex (erc) and [left middle temporal gyrus (mtg_l), left superior parietal lobule (spl_l), right fusiform (fusiform_r)], anterior parahippocampal cortex (aphc) and right precentral gyrus (pcg_r); (ii) connectivity in the right brain included the ahip and right supramarginal gyrus (smg_r), mhip and left paracentral lobule (pcl_l), phip and left superior occipital gyrus (sog_l), prc and left middle occipital gyrus (mog_l), erc and right middle occipital gyrus (mog_r); (iii) for most connectivity patterns, the more stable the dfc, the better are the associative memory functions. |
2021-11-19 |
2023-08-13 |
Not clear |
| Haibo Qu, Su Lu, Wenjing Zhang, Yuan Xiao, Gang Ning, Huaiqiang Su. [Analysis of the Characteristics of Infantile Small World Neural Network Node Properties Correlated with the Influencing Factors]. Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi. vol 33. issue 5. 2018-06-15. PMID:29714947. |
)we then evaluated the level of infantile intelligence of all the cases and graded by gesell development scale test.we used a siemens 3.0t trio imaging system to perform resting-state(rs)epi scans,and collected the bold functional magnetic resonance imaging(fmri)data.we performed the data processing with statistical parametric mapping 5(spm5)based on matlab environment.furthermore,we got the attributes of the whole brain small world and node attributes of 90 encephalic regions of templates of anatomatic automatic labeling(all).at last,we carried out correlation study between the above-mentioned attitudes,intelligence scale parameters and demographic data.the results showed that many node attributes of small world neural network were closely correlated with intelligence scale parameters.betweeness was mainly centered in thalamus,superior frontal gyrus,and occipital lobe(negative correlation).the r value of superior occipital gyrus associated with the individual and social intelligent scale was-0.729(p=0.007);degree was mainly centered in amygdaloid nucleus,superior frontal gyrus,and inferior parietal gyrus(positive correlation).the r value of inferior parietal gyrus associated with the gross motor intelligent scale was 0.725(p=0.008);efficiency was mainly centered in inferior frontal gyrus,inferior parietal gyrus,and insular lobe(positive correlation).the r value of inferior parietal gyrus associated with the language intelligent scale was 0.738(p=0.006);anoda cluster coefficient(anodalcp)was centered in frontal lobe,inferior parietal gyrus,and paracentral lobule(positive correlation);node shortest path length(nlp)was centered in frontal lobe,inferior parietal gyrus,and insular lobe.the distribution of the encephalic regions in the left and right brain was different.however,no statistical significance was found between the correlation of monolithic attributes of small world and intelligence scale.the encephalic regions,in which node attributes of small world were related to other demographic indices,were mainly centered in temporal lobe,cuneus,cingulated gyrus,angular gyrus,and paracentral lobule areas.most of them belong to the default mode network(dmn).the node attributes of small world neural network are widely related to infantile intelligence level,moreover the distribution is characteristic in different encephalic regions.the distribution of dominant encephalic is in accordance the related functions.the existing correlations reflect the ever changing small world nervous network during infantile development. |
2018-06-15 |
2023-08-13 |
Not clear |