Jiaojian Wang

Dr. Jiaojian Wang


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 May 2016 in Cerebral Cortex
Verified
Journal Article
Open access
PDF file
LFLingzhong Fan
Lingzhong Fan
HLHai Li
Hai Li
JZJunjie Zhuo
Junjie Zhuo
YZYu Zhang
Yu Zhang
JWJiaojian Wang
Jiaojian Wang
TJTianzi Jiang
Tianzi Jiang
The human brain atlases that allow correlating brain anatomy with psychological and cognitive functions are in transition from ex vivo histology-based printed atlases to digital brain maps providing multimodal in vivo information. Many current human brain atlases cover only specific structures, lack fine-grained parcellations, and fail to provide functionally important connectivity information. Using noninvasive multimodal neuroimaging techniques, we designed a connectivity-based parcellation framework that identifies the subdivisions of the entire human brain, revealing the in vivo connectivity architecture. The resulting human Brainnetome Atlas, with 210 cortical and 36 subcortical subregions, provides a fine-grained, cross-validated atlas and contains information on both anatomical and functional connections. Additionally, we further mapped the delineated structures to mental processes by reference to the BrainMap database. It thus provides an objective and stable starting point from which to explore the complex relationships between structure, connectivity, and function, and eventually improves understanding of how the human brain works. The human Brainnetome Atlas will be made freely available for download at http://atlas.brainnetome.org, so that whole brain parcellations, connections, and functional data will be readily available for researchers to use in their investigations into healthy and pathological states.

1 September 2013 in NeuroImage
Verified
Journal Article
Closed access
WLWei Li
Wei Li
WQWen Qin
Wen Qin
HLHuaigui Liu
Huaigui Liu
LFLingzhong Fan
Lingzhong Fan
JWJiaojian Wang
Jiaojian Wang
CYChunshui Yu
Chunshui Yu

2 September 2014 in Human Brain Mapping
Verified
Journal Article
Open access
PDF file
JWJiaojian Wang
Jiaojian Wang
YYYong Yang
Yong Yang
LFLingzhong Fan
Lingzhong Fan
JXJinping Xu
Jinping Xu
CLChanghai Li
Changhai Li
TJTianzi Jiang
Tianzi Jiang
The superior parietal lobule (SPL) plays a pivotal role in many cognitive, perceptive, and motor‐related processes. This implies that a mosaic of distinct functional and structural subregions may exist in this area. Recent studies have demonstrated that the ongoing spontaneous fluctuations in the brain at rest are highly structured and, like coactivation patterns, reflect the integration of cortical locations into long‐distance networks. This suggests that the internal differentiation of a complex brain region may be revealed by interaction patterns that are reflected in different neuroimaging modalities. On the basis of this perspective, we aimed to identify a convergent functional organization of the SPL using multimodal neuroimaging approaches. The SPL was first parcellated based on its structural connections as well as on its resting‐state connectivity and coactivation patterns. Then, post hoc functional characterizations and connectivity analyses were performed for each subregion. The three types of connectivity‐based parcellations consistently identified five subregions in the SPL of each hemisphere. The two anterior subregions were found to be primarily involved in action processes and in visually guided visuomotor functions, whereas the three posterior subregions were primarily associated with visual perception, spatial cognition, reasoning, working memory, and attention. This parcellation scheme for the SPL was further supported by revealing distinct connectivity patterns for each subregion in all the used modalities. These results thus indicate a convergent functional architecture of the SPL that can be revealed based on different types of connectivity and is reflected by different functions and interactions. Hum Brain Mapp, 36:238–257, 2015.

1 May 2017 in Cell
Verified
Journal Article
Closed access
YCYongchang Chen
Yongchang Chen
JYJuehua Yu
Juehua Yu
YNYuyu Niu
Yuyu Niu
DQDongdong Qin
Dongdong Qin
HLHailiang Liu
Hailiang Liu
YSYi Eve Sun
Yi Eve Sun

22 December 2015 in Scientific Reports
Verified
Journal Article
Open access
PDF file
JXJinping Xu
Jinping Xu
JWJiaojian Wang
Jiaojian Wang
LFLingzhong Fan
Lingzhong Fan
HLHai Li
Hai Li
WZWen Zhang
Wen Zhang
TJTianzi Jiang
Tianzi Jiang
The middle temporal gyrus (MTG) participates in a variety of functions, suggesting the existence of distinct functional subregions. In order to further delineate the functions of this brain area, we parcellated the MTG based on its distinct anatomical connectivity profiles and identified four distinct subregions, including the anterior (aMTG), middle (mMTG), posterior (pMTG) and sulcus (sMTG). Both the anatomical connectivity patterns and the resting-state functional connectivity patterns revealed distinct connectivity profiles for each subregion. The aMTG was primarily involved in the default mode network, sound recognition and semantic retrieval. The mMTG was predominantly involved in the semantic memory and semantic control networks. The pMTG seems to be a part of the traditional sensory language area. The sMTG appears to be associated with decoding gaze direction and intelligible speech. Interestingly, the functional connectivity with Brodmann’s Area (BA) 40, BA 44 and BA 45 gradually increased from the anterior to the posterior MTG, a finding which indicated functional topographical organization as well as implying that language processing is functionally segregated in the MTG. These proposed subdivisions of the MTG and its functions contribute to understanding the complex functions of the MTG at the subregional level.

7 August 2013 in Cerebral Cortex
Verified
Journal Article
Open access
PDF file
LFLingzhong Fan
Lingzhong Fan
JWJiaojian Wang
Jiaojian Wang
YZYu Zhang
Yu Zhang
WHWei Han
Wei Han
CYChunshui Yu
Chunshui Yu
TJTianzi Jiang
Tianzi Jiang
The temporal pole (TP) is an association cortex capable of multisensory integration and participates in various high-order cognitive functions. However, an accepted parcellation of the human TP and its connectivity patterns have not yet been well established. Here, we sought to present a scheme for the parcellation of human TP based on anatomical connectivity and to reveal its subregional connectivity patterns. Three distinct subregions with characteristic fiber pathways were identified, including the dorsal (TAr), the medial (TGm), and lateral (TGl) subregions, which are located ventrally. According to the connectivity patterns, a dorsal/ventral sensory segregation of auditory and visual processing and the medial TGm involved in the olfactory processing were observed. Combined with the complementary resting-state functional connectivity analysis, the connections of the TGm with the orbitofrontal cortex and other emotion-related areas, the TGl connections with the MPFC and major default mode network regions, and the TAr connections with the perisylvian language areas were observed. To the best of our knowledge, the present study represents the first attempt to parcel the human TP based on its anatomical connectivity features, which may help to improve our understanding of its connectional anatomy and to extend the available knowledge in TP-related clinical research.