Tianye Zhai, Ph.D.

@article{Zou2015,

title = {Abnormal resting-state functional connectivity of the nucleus accumbens in multi-year abstinent heroin addicts.},

author = {Feng Zou and Xinhuai Wu and Tianye Zhai and Yu Lei and Yongcong Shao and Xiao Jin and Shuwen Tan and Bing Wu and Lubin Wang and Zheng Yang},

url = {https://www.ncbi.nlm.nih.gov/pubmed/26280556},

doi = {10.1002/jnr.23608},

issn = {1097-4547 (Electronic); 0360-4012 (Linking)},

year  = {2015},

date = {2015-08-17},

journal = {J Neurosci Res},

volume = {93},

number = {11},

pages = {1693--1702},

address = {Cognitive and Mental Health Research Center, Beijing Institute of Basic Medical Science, Beijing, People's Republic of China.},

abstract = {Functional neuroimaging studies suggest that abnormal brain functional connectivity may be the neural underpinning of addiction to illicit drugs and of relapse after successful cessation therapy. Aberrant brain networks have been demonstrated in addicted patients and in newly abstinent addicts. However, it is not known whether abnormal brain connectivity patterns persist after prolonged abstinence. In this cross-sectional study, whole-brain resting-state functional magnetic resonance images (8 min) were collected from 30 heroin-addicted individuals after a long period of abstinence (more than 3 years) and from 30 healthy controls. We first examined the group differences in the resting-state functional connectivity of the nucleus accumbens (NAc), a brain region implicated in relapse-related processes, including craving and reactivity to stress following acute and protracted withdrawal from heroin. We then examined the relation between the duration of abstinence and the altered NAc functional connectivity in the heroin group. We found that, compared with controls, heroin-dependent participants exhibited significantly greater functional connectivity between the right ventromedial prefrontal cortex and the NAc and weaker functional connectivity between the NAc and the left putamen, left precuneus, and supplementary motor area. However, with longer abstinence time, the strength of NAc functional connectivity with the left putamen increased. These results indicate that dysfunction of the NAc functional network is still present in long-term-abstinent heroin-dependent individuals.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Zhai2015,

title = {Nature of functional links in valuation networks differentiates impulsive behaviors between abstinent heroin-dependent subjects and nondrug-using subjects.},

author = {Zhai, Tianye and Shao, Yongcong and Chen, Gang and Ye, Enmao and Ma, Lin and Wang, Lubin and Lei, Yu and Chen, Guangyu and Li, Wenjun and Zou, Feng and Jin, Xiao and Li, Shi-Jiang and Yang, Zheng},

url = {https://www.ncbi.nlm.nih.gov/pubmed/25944613},

doi = {10.1016/j.neuroimage.2015.04.060},

issn = {1095-9572 (Electronic); 1053-8119 (Linking)},

year  = {2015},

date = {2015-05-02},

journal = {Neuroimage},

volume = {115},

pages = {76--84},

abstract = {Advanced neuroimaging studies have identified brain correlates of pathological impulsivity in a variety of neuropsychiatric disorders. However, whether and how these spatially separate and functionally integrated neural correlates collectively contribute to aberrant impulsive behaviors remains unclear. Building on recent progress in neuroeconomics toward determining a biological account of human behaviors, we employed resting-state functional MRI to characterize the nature of the links between these neural correlates and to investigate their impact on impulsivity. We demonstrated that through functional connectivity with the ventral medial prefrontal cortex, the delta-network (regions of the executive control system, such as the dorsolateral prefrontal cortex) and the beta-network (regions of the reward system involved in the mesocorticolimbic pathway), jointly influence impulsivity measured by the Barratt impulsiveness scale scores. In control nondrug-using subjects, the functional link between the beta- and delta-networks is balanced, and the delta-network competitively controls impulsivity. However, in abstinent heroin-dependent subjects, the link is imbalanced, with stronger beta-network connectivity and weaker delta-network connectivity. The imbalanced link is associated with impulsivity, indicating that the beta- and delta-networks may mutually reinforce each other in abstinent heroin-dependent subjects. These findings of an aberrant link between the beta- and delta-networks in abstinent heroin-dependent subjects may shed light on the mechanism of aberrant behaviors of drug addiction and may serve as an endophenotype to mark individual subjects' self-control capacity.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Wang2015g,

title = {Abnormal gray matter volume and resting-state functional connectivity in former heroin-dependent individuals abstinent for multiple years.},

author = {Lubin Wang and Feng Zou and Tianye Zhai and Yu Lei and Shuwen Tan and Xiao Jin and Enmao Ye and Yongcong Shao and Yihong Yang and Zheng Yang},

url = {https://www.ncbi.nlm.nih.gov/pubmed/25727574},

doi = {10.1111/adb.12228},

issn = {1369-1600 (Electronic); 1355-6215 (Linking)},

year  = {2015},

date = {2015-02-26},

journal = {Addict Biol},

volume = {21},

number = {3},

pages = {646--656},

address = {Cognitive and Mental Health Research Center, Beijing Institute of Basic Medical Sciences, China.},

abstract = {Previous studies have suggested that heroin addiction is associated with structural and functional brain abnormalities. However, it is largely unknown whether these characteristics of brain abnormalities would be persistent or restored after long periods of abstinence. Considering the very high rates of relapse, we hypothesized that there may exist some latent neural vulnerabilities in abstinent heroin users. In this study, structural and resting-state functional magnetic resonance imaging data were collected from 30 former heroin-dependent (FHD) subjects who were drug free for more than 3 years and 30 non-addicted control (CN) volunteers. Voxel-based morphometry was used to identify possible gray matter volume differences between the FHD and CN groups. Alterations in resting-state functional connectivity in FHD were examined using brain areas with gray matter deficits as seed regions. Significantly reduced gray matter volume was observed in FHD in an area surrounding the parieto-occipital sulcus, which included the precuneus and cuneus. Functional connectivity analyses revealed that the FHD subjects showed reduced positive correlation within the default mode network and visual network and decreased negative correlation between the default mode network, visual network and task positive network. Moreover, the altered functional connectivity was correlated with self-reported impulsivity scores in the FHD subjects. Our findings suggest that disruption of large-scale brain systems is present in former heroin users even after multi-year abstinence, which could serve as system-level neural underpinnings for behavioral dysfunctions associated with addiction.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Zhai2014,

title = {Altered intrinsic hippocmapus declarative memory network and its association with impulsivity in abstinent heroin dependent subjects.},

author = {Zhai, Tian-Ye and Shao, Yong-Cong and Xie, Chun-Ming and Ye, En-Mao and Zou, Feng and Fu, Li-Ping and Li, Wen-Jun and Chen, Gang and Chen, Guang-Yu and Zhang, Zheng-Guo and Li, Shi-Jiang and Yang, Zheng},

url = {https://www.ncbi.nlm.nih.gov/pubmed/25008351},

doi = {10.1016/j.bbr.2014.06.054},

issn = {1872-7549 (Electronic); 0166-4328 (Linking)},

year  = {2014},

date = {2014-07-05},

journal = {Behav Brain Res},

volume = {272},

pages = {209--217},

abstract = {Converging evidence suggests that addiction can be considered a disease of aberrant learning and memory with impulsive decision-making. In the past decades, numerous studies have demonstrated that drug addiction is involved in multiple memory systems such as classical conditioned drug memory, instrumental learning memory and the habitual learning memory. However, most of these studies have focused on the contributions of non-declarative memory, and declarative memory has largely been neglected in the research of addiction. Based on a recent finding that hippocampus, as a core functioning region of declarative memory, was proved biased the decision-making process based on past experiences by spreading associated reward values throughout memory. Our present study focused on the hippocampus. By utilizing seed-based network analysis on the resting-state functional MRI datasets with the seed hippocampus we tested how the intrinsic hippocampal memory network altered toward drug addiction, and examined how the functional connectivity strength within the altered hippocampal network correlated with behavioral index 'impulsivity'. Our results demonstrated that HD group showed enhanced coherence between hippocampus which represents declarative memory system and non-declarative reward-guided learning memory system, and also showed attenuated intrinsic functional link between hippocampus and top-down control system, compared to the CN group. This alteration was furthered found to have behavioral significance over the behavioral index 'impulsivity' measured with Barratt Impulsiveness Scale (BIS). These results provide insights into the mechanism of declarative memory underlying the impulsive behavior in drug addiction.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Xie2012,

title = {Imbalanced functional link between valuation networks in abstinent heroin-dependent subjects.},

author = {C Xie and Y Shao and L Ma and T Zhai and E Ye and L Fu and G Bi and G Chen and A Cohen and W Li and G Chen and Z Yang and S-J Li},

url = {https://www.ncbi.nlm.nih.gov/pubmed/23207652},

doi = {10.1038/mp.2012.169},

issn = {1476-5578 (Electronic); 1359-4184 (Linking)},

year  = {2012},

date = {2012-12-04},

journal = {Mol Psychiatry},

volume = {19},

number = {1},

pages = {10--12},

address = {1$]$ Cognitive and Mental Health Research Center, Beijing Institute of Basic Medical Science, Beijing, China [2] Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, USA.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}