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Article ; Online: Hypothesis of subcortical visual pathway impairment in schizophrenia.

Shen, Lin / Liu, Dongqiang / Huang, Yan

2021 Volume 156, Page(s) 110686

Abstract: Schizophrenia is a severe mental disease involving both neurological and psychiatric abnormalities. Previous studies mainly focus on damage to high-order cognitive dysfunction, which is related to high-level cortical regions such as the prefrontal and ... ...

Abstract	Schizophrenia is a severe mental disease involving both neurological and psychiatric abnormalities. Previous studies mainly focus on damage to high-order cognitive dysfunction, which is related to high-level cortical regions such as the prefrontal and temporal lobes. Recent research reveals that impairment of low-level sensory processing occurs in the early stage of schizophrenia, which may be due to impairment of the subcortical magnocellular visual pathway. Moreover, the structure and function of some important nuclei in a subcortical visual pathway are reported to be abnormal in patients with schizophrenia. Inspired by the above evidence, we propose a hypothesis that impairment of the Superior Colliculus-Pulvinar-Amygdala subcortical visual pathway may be involved in the pathological mechanisms of early stages of schizophrenia. And we propose a possible method to detect dysfunction of this subcortical pathway through examining topological processing, which may help early diagnosis of schizophrenia.
MeSH term(s)	Amygdala ; Humans ; Pulvinar ; Schizophrenia ; Superior Colliculi ; Visual Pathways
Language	English
Publishing date	2021-09-20
Publishing country	United States
Document type	Journal Article
ZDB-ID	193145-3
ISSN	1532-2777 ; 0306-9877
ISSN (online)	1532-2777
ISSN	0306-9877
DOI	10.1016/j.mehy.2021.110686
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Zs.A 1132: Show issues

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Article ; Online: Functional Connectivity Changes in Multiple-Frequency Bands in Acute Basal Ganglia Ischemic Stroke Patients: A Machine Learning Approach.

Li, Jie / Cheng, Lulu / Chen, Shijian / Zhang, Jian / Liu, Dongqiang / Liang, Zhijian / Li, Huayun

Neural plasticity

2022 Volume 2022, Page(s) 1560748

Abstract: Purpose: Several functional magnetic resonance imaging (fMRI) studies have investigated the resting-state functional connectivity (rs-FC) changes in the primary motor cortex (M1) in patients with acute basal ganglia ischemic stroke (BGIS). However, the ... ...

Abstract	Purpose: Several functional magnetic resonance imaging (fMRI) studies have investigated the resting-state functional connectivity (rs-FC) changes in the primary motor cortex (M1) in patients with acute basal ganglia ischemic stroke (BGIS). However, the frequency-specific FC changes of M1 in acute BGIS patients are still unclear. Our study was aimed at exploring the altered FC of M1 in three frequency bands and the potential features as biomarkers for the identification by using a support vector machine (SVM). Methods: We included 28 acute BGIS patients and 42 healthy controls (HCs). Seed-based FC of two regions of interest (ROI, bilateral M1s) were calculated in conventional, slow-5, and slow-4 frequency bands. The abnormal voxel-wise FC values were defined as the features for SVM in different frequency bands. Results: In the ipsilesional M1, the acute BGIS patients exhibited decreased FC with the right lingual gyrus in the conventional and slow-4 frequency band. Besides, the acute BGIS patients showed increased FC with the right medial superior frontal gyrus (SFGmed) in the conventional and slow-5 frequency band and decreased FC with the left lingual gyrus in the slow-5 frequency band. In the contralesional M1, the BGIS patients showed lower FC with the right SFGmed in the conventional frequency band. The higher FC values with the right lingual gyrus and left SFGmed were detected in the slow-4 frequency band. In the slow-5 frequency band, the BGIS patients showed decreased FC with the left calcarine sulcus. SVM results showed that the combined features (slow-4+slow-5) had the highest accuracy in classification prediction of acute BGIS patients, with an area under curve (AUC) of 0.86. Conclusion: Acute BGIS patients had frequency-specific alterations in FC; SVM is a promising method for exploring these frequency-dependent FC alterations. The abnormal brain regions might be potential targets for future researchers in the rehabilitation and treatment of stroke patients.
MeSH term(s)	Basal Ganglia/diagnostic imaging ; Brain Mapping/methods ; Humans ; Ischemic Stroke/diagnostic imaging ; Machine Learning ; Magnetic Resonance Imaging/methods
Language	English
Publishing date	2022-03-20
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1454938-4
ISSN	1687-5443 ; 2090-5904 ; 0792-8483
ISSN (online)	1687-5443
ISSN	2090-5904 ; 0792-8483
DOI	10.1155/2022/1560748
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Article ; Online: Resting EEG in alpha band predicts individual differences in visual size perception.

Chen, Lihong / Wu, Baoyu / Qiao, Congying / Liu, Dong-Qiang

Brain and cognition

2020 Volume 145, Page(s) 105625

Abstract: Human visual size perception results from an interaction of external sensory information and internal state. The cognitive mechanisms involved in the processing of context-dependent visual size perception have been found to be innate in nature to some ... ...

Abstract	Human visual size perception results from an interaction of external sensory information and internal state. The cognitive mechanisms involved in the processing of context-dependent visual size perception have been found to be innate in nature to some extent, suggesting that visual size perception might correlate with human intrinsic brain activity. Here we recorded human resting alpha activity (8-12 Hz), which is an inverse indicator of sustained alertness. Moreover, we measured an object's perceived size in a two-alternative forced-choice manner and the Ebbinghaus illusion magnitude which is a classic illustration of context-dependent visual size perception. The results showed that alpha activity along the ventral visual pathway, including left V1, right LOC and bilateral inferior temporal gyrus, negatively correlated with an object's perceived size. Moreover, alpha activity in the left superior temporal gyrus positively correlated with size discrimination threshold and size illusion magnitude. The findings provide clear evidence that human visual size perception scales as a function of intrinsic alertness, with higher alertness linking to larger perceived size of objects and better performance in size discrimination and size illusion tasks, and suggest that individual variation in resting-state brain activity provides a neural explanation for individual variation in cognitive performance of normal participants.
MeSH term(s)	Brain/physiology ; Cognition ; Electroencephalography ; Humans ; Illusions ; Individuality ; Size Perception ; Visual Perception
Language	English
Publishing date	2020-09-12
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	603163-8
ISSN	1090-2147 ; 0278-2626
ISSN (online)	1090-2147
ISSN	0278-2626
DOI	10.1016/j.bandc.2020.105625
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Article ; Online: Jagged-1 inhibits mouse embryonic stem cells differentiating into haematopoietic stem or progenitor cells

CHEN Ri-lin / ZHENG Wei-rong / TAN Lin / LIU Dong-qiang / SHI Hui / CHEN Qi-kang

Jichu yixue yu linchuang, Vol 41, Iss 1, Pp 55-

2021 Volume 61

Abstract: Objective To investigate the effect of Notch signaling pathways on differentiation of mouse embryonic stem cells(ESC) into haematopoietic stem or progenitor cells(HSC/HPC). Methods 1)incubate mouse embryoid body cells and divide the embryonic stem cells ... ...

Abstract	Objective To investigate the effect of Notch signaling pathways on differentiation of mouse embryonic stem cells(ESC) into haematopoietic stem or progenitor cells(HSC/HPC). Methods 1)incubate mouse embryoid body cells and divide the embryonic stem cells into five groups as EB group,control group,Jagged-1 group, DAPT group and Jagged-1-DAPT group. 2)detect the phenotype of HSC/HPC by flow cytometry. 3)The expression of Notch signaling pathway, mouse embryonic stem cell phenotype and HSC/HPC phenotype were detected by RT-PCR. Results 1)the number of embryonic stem cells in Jagged-1 group was significantly more than that in control group and Jagged-DAPT group(P＜0.05);2)the number of HSC/HPC in Jagged-1-DAPT group was significantly more than that in control group and in Jagged-1 group(P＜0.05); 3)the expression of Notch1, Notch2 and Notch4 mRNA in Jagged-1 group was significantly higher than that in control group(P＜0.05), 4)the expression of Notch1 and Notch4 mRNA in DAPT group and Jagged-1-DAPT group was lower than that in control group(P＜0.05). Conclusions Jagged-1 activation of Notch signaling pathway potentially inhibits ESC differentiation into HSC/HPC in mice model.
Keywords	embryonic stem cells\|notch signal pathway\|hematopoietic stem cells\|jagged-1 ; Medicine ; R
Subject code	571
Language	Chinese
Publishing date	2021-01-01T00:00:00Z
Publisher	Institute of Basic Medical Sciences and Peking Union Medical College Hospital, Chinese Academy of Medical Sciences / Peking Union Medical College.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Raised SPINK1 levels play a role in angiogenesis and the transendothelial migration of ALL cells.

Luo, Dong / Liu, Dongqiang / Rao, Chunbao / Shi, Shanshan / Zeng, Xiaomei / Liu, Sha / Jiang, Hua / Liu, Lishi / Zhang, Zhenhong / Lu, Xiaomei

Scientific reports

2022 Volume 12, Issue 1, Page(s) 2999

Abstract: The present study was designed to assess whether raised Serine protease inhibitor Kazal type 1 (SPINK1) expressions modulates angiogenesis. Human umbilical vein endothelial cells (HUVECs) exposed to SPINK1 were noted to exhibit raised expressions of ... ...

Abstract	The present study was designed to assess whether raised Serine protease inhibitor Kazal type 1 (SPINK1) expressions modulates angiogenesis. Human umbilical vein endothelial cells (HUVECs) exposed to SPINK1 were noted to exhibit raised expressions of interleukin-8 (IL-8) as well as VCAM-1 and ICAM-1 cell adhesion molecules in a dose-dependent manner. In co-culture system of HUVECs and Acute lymphoblastic leukemia (ALL) cells, SPINK1 exposure also resulted in enhanced endothelial cell motility and ALL cells trans-endothelial migration. High concentrations of SPINK1 caused in vitro cellular reorganization into tubes in Matrigel-cultured HUVECs and induced in vivo vascularization and brain infiltration of NOD/SCID ALL model mice. The further transcriptomic analysis indicated that SPINK1 treatment altered several biological processes of endothelial cells and led to activation of the MAPK pathway. This study is the first to determine the neovascularization effects of raised SPINK1.
MeSH term(s)	Animals ; Cell Movement/genetics ; Coculture Techniques ; Disease Models, Animal ; Endothelial Cells/pathology ; Female ; Gene Expression/genetics ; Gene Expression/physiology ; Human Umbilical Vein Endothelial Cells ; Humans ; Intercellular Adhesion Molecule-1/genetics ; Intercellular Adhesion Molecule-1/metabolism ; Interleukin-8/genetics ; Interleukin-8/metabolism ; MAP Kinase Signaling System/genetics ; MAP Kinase Signaling System/physiology ; Mice ; Mice, Inbred NOD ; Mice, SCID ; Neovascularization, Pathologic/genetics ; Neovascularization, Pathologic/pathology ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/genetics ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/pathology ; Trypsin Inhibitor, Kazal Pancreatic/genetics ; Trypsin Inhibitor, Kazal Pancreatic/metabolism ; Trypsin Inhibitor, Kazal Pancreatic/physiology ; Vascular Cell Adhesion Molecule-1/genetics ; Vascular Cell Adhesion Molecule-1/metabolism
Chemical Substances	Interleukin-8 ; SPINK1 protein, human ; Vascular Cell Adhesion Molecule-1 ; Intercellular Adhesion Molecule-1 (126547-89-5) ; Trypsin Inhibitor, Kazal Pancreatic (50936-63-5)
Language	English
Publishing date	2022-02-22
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-022-06946-6
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Article ; Online: The neural correlates of amplitude of low-frequency fluctuation: a multimodal resting-state MEG and fMRI-EEG study.

Zhang, Jianfeng / Liu, Dong-Qiang / Qian, Shufang / Qu, Xiujuan / Zhang, Peiwen / Ding, Nai / Zang, Yu-Feng

Cerebral cortex (New York, N.Y. : 1991)

2022 Volume 33, Issue 4, Page(s) 1119–1129

Abstract: The amplitude of low-frequency fluctuation (ALFF) describes the regional intensity of spontaneous blood-oxygen-level-dependent signal in resting-state functional magnetic resonance imaging (fMRI). How the fMRI-ALFF relates to the amplitude in ... ...

Abstract	The amplitude of low-frequency fluctuation (ALFF) describes the regional intensity of spontaneous blood-oxygen-level-dependent signal in resting-state functional magnetic resonance imaging (fMRI). How the fMRI-ALFF relates to the amplitude in electrophysiological signals remains unclear. We here aimed to investigate the neural correlates of fMRI-ALFF by comparing the spatial difference of amplitude between the eyes-closed (EC) and eyes-open (EO) states from fMRI and magnetoencephalography (MEG), respectively. By synthesizing MEG signal into amplitude-based envelope time course, we first investigated 2 types of amplitude in MEG, meaning the amplitude of neural activities from delta to gamma (i.e. MEG-amplitude) and the amplitude of their low-frequency modulation at the fMRI range (i.e. MEG-ALFF). We observed that the MEG-ALFF in EC was increased at parietal sensors, ranging from alpha to beta; whereas the MEG-amplitude in EC was increased at the occipital sensors in alpha. Source-level analysis revealed that the increased MEG-ALFF in the sensorimotor cortex overlapped with the most reliable EC-EO differences observed in fMRI at slow-3 (0.073-0.198 Hz), and these differences were more significant after global mean standardization. Taken together, our results support that (i) the amplitude at 2 timescales in MEG reflect distinct physiological information and that (ii) the fMRI-ALFF may relate to the ALFF in neural activity.
MeSH term(s)	Magnetoencephalography ; Magnetic Resonance Imaging/methods ; Brain/physiology ; Rest/physiology ; Sensorimotor Cortex ; Electroencephalography
Language	English
Publishing date	2022-03-24
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1077450-6
ISSN	1460-2199 ; 1047-3211
ISSN (online)	1460-2199
ISSN	1047-3211
DOI	10.1093/cercor/bhac124
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Article ; Online: Reducing Inter-Site Variability for Fluctuation Amplitude Metrics in Multisite Resting State BOLD-fMRI Data.

Wang, Xinbo / Wang, Qing / Zhang, Peiwen / Qian, Shufang / Liu, Shiyu / Liu, Dong-Qiang

Neuroinformatics

2020 Volume 19, Issue 1, Page(s) 23–38

Abstract: It has been reported that resting state fluctuation amplitude (RSFA) exhibits extremely large inter-site variability, which limits its application in multisite studies. Although global normalization (GN) based approaches are efficient in reducing the ... ...

Abstract	It has been reported that resting state fluctuation amplitude (RSFA) exhibits extremely large inter-site variability, which limits its application in multisite studies. Although global normalization (GN) based approaches are efficient in reducing the site effects, they may cause spurious results. In this study, our purpose was to find alternative strategies to minimize the substantial site effects for RSFA, without the risk of introducing artificial findings. We firstly modified the ALFF algorithm so that it is conceptually validated and insensitive to data length, then found that (a) global mean amplitude of low-frequency fluctuation (ALFF) covaried only with BOLD signal intensity, while global mean fractional ALFF (fALFF) was significantly correlated with TRs across different sites; (b) The inter-site variations in raw RSFA values were significant across the entire brain and exhibited similar trends between gray matter and white matter; (c) For ALFF, signal intensity rescaling could dramatically reduce inter-site variability by several orders, but could not fully removed the globally distributed inter-site variability. For fALFF, the global site effects could be completely removed by TR controlling; (d) Meanwhile, the magnitude of the inter-site variability of fALFF could also be reduced to an acceptable level, as indicated by the detection power of fALFF in multisite data quite close to that in monosite data. Thus our findings suggest GN based harmonization methods could be replaced with only controlling for confounding factors including signal scaling, TR and full-band power.
MeSH term(s)	Algorithms ; Artifacts ; Benchmarking ; Brain/physiology ; Brain Mapping/methods ; Female ; Humans ; Image Processing, Computer-Assisted ; Magnetic Resonance Imaging/methods ; Male
Language	English
Publishing date	2020-04-13
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2111941-7
ISSN	1559-0089 ; 1539-2791
ISSN (online)	1559-0089
ISSN	1539-2791
DOI	10.1007/s12021-020-09463-x
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Article ; Online: The domain-separation language network dynamics in resting state support its flexible functional segregation and integration during language and speech processing.

Yuan, Binke / Xie, Hui / Wang, Zhihao / Xu, Yangwen / Zhang, Hanqing / Liu, Jiaxuan / Chen, Lifeng / Li, Chaoqun / Tan, Shiyao / Lin, Zonghui / Hu, Xin / Gu, Tianyi / Lu, Junfeng / Liu, Dongqiang / Wu, Jinsong

NeuroImage

2023 Volume 274, Page(s) 120132

Abstract: Modern linguistic theories and network science propose that language and speech processing are organized into hierarchical, segregated large-scale subnetworks, with a core of dorsal (phonological) stream and ventral (semantic) stream. The two streams are ...

Abstract	Modern linguistic theories and network science propose that language and speech processing are organized into hierarchical, segregated large-scale subnetworks, with a core of dorsal (phonological) stream and ventral (semantic) stream. The two streams are asymmetrically recruited in receptive and expressive language or speech tasks, which showed flexible functional segregation and integration. We hypothesized that the functional segregation of the two streams was supported by the underlying network segregation. A dynamic conditional correlation approach was employed to construct framewise time-varying language networks and k-means clustering was employed to investigate the temporal-reoccurring patterns. We found that the framewise language network dynamics in resting state were robustly clustered into four states, which dynamically reconfigured following a domain-separation manner. Spatially, the hub distributions of the first three states highly resembled the neurobiology of speech perception and lexical-phonological processing, speech production, and semantic processing, respectively. The fourth state was characterized by the weakest functional connectivity and was regarded as a baseline state. Temporally, the first three states appeared exclusively in limited time bins (∼15%), and most of the time (> 55%), state 4 was dominant. Machine learning-based dFC-linguistics prediction analyses showed that dFCs of the four states significantly predicted individual linguistic performance. These findings suggest a domain-separation manner of language network dynamics in resting state, which forms a dynamic "meta-network" framework to support flexible functional segregation and integration during language and speech processing.
MeSH term(s)	Humans ; Brain ; Speech ; Brain Mapping ; Language ; Semantics ; Magnetic Resonance Imaging
Language	English
Publishing date	2023-04-25
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1147767-2
ISSN	1095-9572 ; 1053-8119
ISSN (online)	1095-9572
ISSN	1053-8119
DOI	10.1016/j.neuroimage.2023.120132
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Zs.A 3664: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (2.OG) ab Jg. 2022: Lesesaal (EG)
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Article ; Online: Hidden Markov Modeling Reveals Prolonged "Baseline" State and Shortened Antagonistic State across the Adult Lifespan.

Chen, Keyu / Li, Chaofan / Sun, Wei / Tao, Yunyun / Wang, Ruidi / Hou, Wen / Liu, Dong-Qiang

Cerebral cortex (New York, N.Y. : 1991)

2021 Volume 32, Issue 2, Page(s) 439–453

Abstract: The brain networks undergo functional reorganization across the whole lifespan, but the dynamic patterns behind the reorganization remain largely unclear. This study models the dynamics of spontaneous activity of large-scale networks using hidden Markov ... ...

Abstract	The brain networks undergo functional reorganization across the whole lifespan, but the dynamic patterns behind the reorganization remain largely unclear. This study models the dynamics of spontaneous activity of large-scale networks using hidden Markov model (HMM), and investigates how it changes with age on two adult lifespan datasets of 176/157 subjects (aged 20-80 years). Results for both datasets showed that 1) older adults tended to spend less time on a state where default mode network (DMN) and attentional networks show antagonistic activity, 2) older adults spent more time on a "baseline" state with moderate-level activation of all networks, accompanied with lower transition probabilities from this state to the others and higher transition probabilities from the others to this state, and 3) HMM exhibited higher sensitivity in uncovering the age effects compared with temporal clustering method. Our results suggest that the aging brain is characterized by the shortening of the antagonistic instances between DMN and attention systems, as well as the prolongation of the inactive period of all networks, which might reflect the shift of the dynamical working point near criticality in older adults.
MeSH term(s)	Adult ; Aged ; Aged, 80 and over ; Brain/physiology ; Brain Mapping/methods ; Humans ; Longevity ; Magnetic Resonance Imaging/methods ; Middle Aged ; Nerve Net/physiology ; Young Adult
Language	English
Publishing date	2021-07-13
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1077450-6
ISSN	1460-2199 ; 1047-3211
ISSN (online)	1460-2199
ISSN	1047-3211
DOI	10.1093/cercor/bhab220
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Article ; Online: Resting-state abnormalities in functional connectivity of the default mode network in autism spectrum disorder: a meta-analysis.

Wang, Qing / Li, Hua-Yun / Li, Yun-Da / Lv, Ya-Ting / Ma, Hui-Bin / Xiang, An-Feng / Jia, Xi-Ze / Liu, Dong-Qiang

Brain imaging and behavior

2021 Volume 15, Issue 5, Page(s) 2583–2592

Abstract: Increasing evidence has shown that the resting state brain connectivity of default mode network (DMN) which are important for social cognition are disrupted in autism spectrum disorder (ASD). However, previous neuroimaging studies did not present ... ...

Abstract	Increasing evidence has shown that the resting state brain connectivity of default mode network (DMN) which are important for social cognition are disrupted in autism spectrum disorder (ASD). However, previous neuroimaging studies did not present consistent results. Therefore, we performed a meta-analysis of resting-state functional connectivity (rsFC) studies of DMN in the individuals with ASD and healthy controls (HCs) to provide a new perspective for investigating the pathophysiology of ASD. We carried out a search using the terms: ("ASD" OR "Autism") AND ("resting state" OR "rest") AND ("DMN" OR "default mode network") in PubMed, Web of Science and Embase to identify the researches published before January 2020. Ten resting state datasets including 203 patients and 208 HCs were included. Anisotropic Effect Size version of Signed Differential Mapping (AES-SDM) method was applied to identify group differences. In comparison with the HCs, the patients with ASD showed increased connectivity in cerebellum, right middle temporal gyrus, superior occipital gyrus, right supramarginal gyrus, supplementary motor area and putamen. Decreased connectivity was discovered in some nodes of DMN, such as medial prefrontal cortex, precuneus and angular gyrus. These results may help us to further clarify the neurobiological mechanisms in patients with ASD.
MeSH term(s)	Autism Spectrum Disorder/diagnostic imaging ; Brain/diagnostic imaging ; Brain Mapping ; Default Mode Network ; Humans ; Magnetic Resonance Imaging ; Neural Pathways/diagnostic imaging ; Rest
Language	English
Publishing date	2021-03-08
Publishing country	United States
Document type	Journal Article ; Meta-Analysis
ZDB-ID	2377165-3
ISSN	1931-7565 ; 1931-7557
ISSN (online)	1931-7565
ISSN	1931-7557
DOI	10.1007/s11682-021-00460-5
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