|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Prefrontal cortex and the dysconnectivity hypothesis of schizophrenia显示文摘Schizophrenia is hypothesized to arise from disrupted brain connectivity. This 'dysconnectivity hypothesis' has generated interest in discovering whether there is anatomical and functional dysconnectivity between the prefrontal cortex(PFC) and other brain regions, and how this dysconnectivity is linked to the impaired cognitive functions and aberrant behaviors of schizophrenia. Critical advances in neuroimaging technologies, including diffusion tensor imaging(DTI) and functional magnetic resonance imaging(f MRI), make it possible to explore these issues. DTI affords the possibility to explore anatomical connectivity in the human brain in vivo and f MRI can be used to make inferences about functional connections between brain regions. In this review, we present major advances in the understanding of PFC anatomical and functional dysconnectivity and their implications in schizophrenia. We then briefl y discuss future prospects that need to be explored in order to move beyond simple mapping of connectivity changes to elucidate the neuronal mechanisms underlying schizophrenia. | Yuan Zhou Lingzhong Fan Chenxiang Qiu Tianzi Jiang | 2015 | Neuroscience Bulletin2015，31，2： | 9 |
| 2 | Mapping Underlying Maturational Changes in Human Brain显示文摘Human brain development is a complex process that continues between birth and maturity,and monitoring the underlying maturational changes at these stages is crucial for our understanding of typical development as well as neurodevelopmental disorders.During the critical periods of brain development,on one hand,many human capacities originate,but on the other hand,a brain undergoing | Lingzhong Fan Tianzi Jiang | 2017 | Neuroscience Bulletin2017，33，4： | 4 |
| 3 | Fine-Grained Topography and Modularity of the Macaque Frontal Pole Cortex Revealed by Anatomical Connectivity Profiles显示文摘The frontal pole cortex(FPC)plays key roles in various higher-order functions and is highly developed in non-human primates.An essential missing piece of information is the detailed anatomical connections for finer parcellation of the macaque FPC than provided by the previous tracer results.This is important for understanding the functional architecture of the cerebral cortex.Here,combining cross-validation and principal component analysis,we formed a tractography-based parcellation scheme that applied a machine learning algorithm to divide the macaque FPC(2 males and 6 females)into eight subareas using high-resolution diffusion magnetic resonance imaging with the 9.4 T Bruker system,and then revealed their subregional connections.Furthermore,we applied improved hierarchical clustering to the obtained parcels to probe the modular structure of the subregions,and found that the dorsolateral FPC,which contains an extension to the medial FPC,was mainly connected to regions of the default-mode network.The ventral FPC was mainly involved in the social-interaction network and the dorsal FPC in the metacognitive network.These results enhance our understanding of the anatomy and circuitry of the macaque brain,and contribute to FPC-related clinical research. | Bin He Long Cao Xiaoluan Xia Baogui Zhang Dan Zhang Bo You Lingzhong Fan Tianzi Jiang | 2020 | Neuroscience Bulletin2020，36，12： | 2 |
| 4 | The SACT Template:A Human Brain Diffusion Tensor Template for School-age Children显示文摘School-age children are in a specific development stage corresponding to juvenility,when the white matter of the brain experiences ongoing maturation.Dffusion-weighted magnetic resonance imaging(DWI),especially diffusion tensor imaging(DTI),is extensively used to characterize the maturation by assessing white matter properties in vivo.In the analysis of DWI data,spatial normalization is crucial for conducting inter-subject analyses or linking the individual space with the reference space.Using tensor-based registration with an appropriate diffusion tensor template presents high accuracy regarding spatial normalization.However,there is a lack of a standardized diffusion tensor template dedicated to school-age children with ongoing brain development.Here,we established the school-age children diffusion tensor(SACT)template by optimizing tensor reorientation on high-quality DTI data from a large sample of cognitively normal participants aged 6-12 years.With an age-balanced design,the SACT template represented the entire age range well by showing high similarity to the age-specific templates.Compared with the tensor template of adults,the SACT template revealed significantly higher spatial normalization accuracy and inter-subject coherence upon evaluation of subjects in two different datasets of schoolage children.A practical application regarding the age associations with the normalized DTI-derived data was conducted to further compare the SACT template and the adult template.Although similar spatial patterns were found,the SACT template showed significant effects on the distributions of the statistical results,which may be related to the performance of spatial normalization.Looking forward,the SACT template could contribute to future studies of white matter development in both healthy and clinical populations.The SACT template is publicly available now(tp://igshare com/aricles/dataseu'SACT_.template/14071283). | Congying Chu Haoran Guan Sangma Xie Yanpei Wang Jie Luo Gai Zhao Zhiying Pan Mingming Hu Weiwei Men Shuping Tan Jia-Hong Gao Shaozheng Qin Yong He Lingzhong Fan Qi Dong Sha Tao | 2022 | Neuroscience Bulletin2022，38，6： | 1 |
| 5 | Reproducible Abnormalities and Diagnostic Generalizability of White Matter in Alzheimer’s Disease显示文摘Alzheimer’s disease(AD)is associated with the impairment of white matter(WM)tracts.The current study aimed to verify the utility of WM as the neuroimaging marker of AD with multisite diffusion tensor imaging datasets[321 patients with AD,265 patients with mild cognitive impairment(MCI),279 normal controls(NC)],a unified pipeline,and independent site cross-validation.Automated fiber quantification was used to extract diffusion profiles along tracts.Random-effects meta-analyses showed a reproducible degeneration pattern in which fractional anisotropy significantly decreased in the AD and MCI groups compared with NC.Machine learning models using tract-based features showed good generalizability among independent site cross-validation.The diffusion metrics of the altered regions and the AD probability predicted by the models were highly correlated with cognitive ability in the AD and MCI groups.We highlighted the reproducibility and generalizability of the degeneration pattern of WM tracts in AD. | Yida Qu Pan Wang Hongxiang Yao Dawei Wang Chengyuan Song Hongwei Yang Zengqiang Zhang Pindong Chen Xiaopeng Kang Kai Du Lingzhong Fan Bo Zhou Tong Han Chunshui Yu Xi Zhang Nianming Zuo Tianzi Jiang Yuying Zhou Bing Liu Ying Han Jie Lu Yong Liu Multi-Center Alzheimer’s Disease Imaging(MCADI)Consortium | 2023 | Neuroscience Bulletin2023，39，10： | 0 |
| 6 | Developing Neuroimaging Biomarker for Brain Diseases with a Machine Learning Framework and the Brainnetome Atlas显示文摘Neuroimaging made it possible to quantify brain structure and function.However,there are few neuroimaging biomarkers for the early diagnosis,prognosis,and evaluation of therapy for brain diseases.The development of neuroimaging biomarkers for brain diseases faces two major bottleneck problems.First,the neuroimaging datasets of brain diseases are always characterized by small sample size,high dimension,and large heterogeneity.Second,a fine-grained individualized human brain atlas for effective dimensionality reduction has always been lacking. | Weiyang Shi Lingzhong Fan Tianzi Jiang | 2021 | Neuroscience Bulletin2021，37，10： | 0 |
| 7 | Mapping the Human Brain:What Is the Next Frontier?显示文摘The human brain is considered to be the most complex and mysterious organ of our body.Due to technological and ethical considerations,we have not been able to fully map the multi-scale structures and understand the organizing principles.As the origin of human consciousness and intelligence,it inspires awe and marvel.Since the beginning of the 21st century,brain science has increasingly become popular around the whole world,and numerous large-scale brain initiatives have been launched to explore the structure and function of the human brain,to decode the nature of consciousness,and to address the problem of neuropsychiatric diseases. | Lingzhong Fan | 2021 | The Innovation2021，2，1： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员