Article
Psychology, Multidisciplinary
Chia-Ho Lai, Shu-Kai Hsieh, Chia-Lin Lee, Lily I-Wen Su, Te-Hsin Liu, Chia-Rung Lu, I-Ni Tsai, Tai-Li Chou
Summary: This study investigated the neural mechanism underlying semantic processing in Mandarin Chinese adult learners who were Indo-European language speakers. The results showed that the L2 group relied more on bilateral occipital regions while processing the meaning of Chinese characters, unlike the L1 group. Additionally, the left middle temporal gyrus/superior temporal gyrus was found to play a crucial role in semantic knowledge storage for readers to access conceptual information.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Neurosciences
Sara Calzolari, Roya Jalali, Davinia Fernandez-Espejo
Summary: This study explored the effects of tDCS on the motor network in the brain and found that it has widespread effects on connectivity, extending beyond the targeted area and modulating connectivity between cortex, thalamus, and cerebellum. The changes have unique nonlinear temporal patterns. This research provides insights into the network-level effects of tDCS and may guide future optimization of its cognitive and clinical applications.
Article
Neurosciences
Edmund T. Rolls, Gustavo Deco, Chu-Chung Huang, Jianfeng Feng
Summary: This study investigated the brain networks involved in language processing by measuring the effective connectivity between cortical regions using data from the Human Connectome Project. The results revealed multiple semantic networks that are responsible for processing different types of information, such as visual, auditory, and somatosensory information. These networks are connected to other brain regions and are involved in various cognitive processes, including memory and language production. The findings also suggest that the hippocampal episodic memory system plays a role in semantic processing, and that frontal regions are important for syntax and speech output.
Article
Anatomy & Morphology
Zhaoqi Zhang, Qiming Yuan, Zeping Liu, Man Zhang, Junjie Wu, Chunming Lu, Guosheng Ding, Taomei Guo
Summary: The study found that perceiving Chinese character writing sequences involved brain regions for general motor schema processing as well as sensorimotor functions specific for writing sequences, forming a cooperatively top-down brain network. This extends the hierarchical control model on motor schema processing.
BRAIN STRUCTURE & FUNCTION
(2021)
Article
Computer Science, Software Engineering
Lijie Yang, Zhan Wu, Tianchen Xu, Jixiang Du, Enhua Wu
Summary: This paper discusses the problem of text sequence recognition of calligraphy and proposes an easy recognition method based on the DenseNet model. Compared with previous algorithms, this method can obtain the artistic features of different styles of calligraphic characters and handle sequences of arbitrary lengths. Experimental results show that this method demonstrates greater robustness in different styles of Chinese calligraphic characters and achieves a recognition accuracy rate of 84.70%.
Article
Biology
Ali Kareem Abbas, Ghasem Azemi, Sajad Amiri, Samin Ravanshadi, Amir Omidvarnia
Summary: This study developed a method for estimating effective connectivity in brain networks using transfer entropy as an information transfer measure. Differences in directed information transfer patterns between children with ADHD and healthy controls were observed, particularly in the beta-band. The developed methodology shows potential for investigating patterns of directed brain networks in neuropsychiatric disorders.
COMPUTERS IN BIOLOGY AND MEDICINE
(2021)
Article
Multidisciplinary Sciences
Tomer Livne, DoHyun Kim, Nicholas V. Metcalf, Lu Zhang, Lorenzo Pini, Gordon L. Shulman, Maurizio Corbetta
Summary: Spontaneous brain activity in the motor cortex is found to be associated with motor patterns commonly occurring in daily life, suggesting that spontaneous activity in the brain may reflect specific behaviors.
SCIENTIFIC REPORTS
(2022)
Article
Neurosciences
Duc Trung Le, Masato Tsuyuhara, Hiroki Kuwamura, Kento Kitano, Thu Dang Nguyen, Thuan Duc Nguyen, Naoto Fujita, Tatsunori Watanabe, Hisao Nishijo, Masahito Mihara, Susumu Urakawa
Summary: This study used functional near-infrared spectroscopy to investigate the changes in regional activity and effective connectivity within the frontoparietal network during precision walking (PW). The results showed that certain brain regions exhibited higher activity and stronger connectivity during PW tasks with randomly varied intercue distances.
Article
Biochemistry & Molecular Biology
Zaira Romeo, Marco Marino, Dante Mantini, Alessandro Angrilli, Chiara Spironelli
Summary: Abnormalities in the Language Network (LN) have been observed in various psychiatric conditions, such as schizophrenia and bipolar disorder, suggesting a continuum of shared neural alterations. In this study, the LN architecture was analyzed during resting state and a language task in bipolar disorder patients. The findings indicate reduced language lateralization in bipolar patients which may serve as a biological marker for different psychotic disorders.
Article
Engineering, Biomedical
Sandeep Avvaru, Noam Peled, Nicole R. Provenza, Alik S. Widge, Keshab K. Parhi
Summary: Research suggests that direct electrical brain stimulation can enhance cognitive control and decision-making, with a novel method called MVNM effectively detecting cognitive control deficits. Effective networks can differentiate task engagement from background neural activity, while task engagement networks highlight the crucial role of the dlPFC in cognitive tasks.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2021)
Article
Neurosciences
Murray Bruce Reed, Manfred Klobl, Godber Mathis Godbersen, Patricia Anna Handschuh, Vera Ritter, Benjamin Spurny-Dworak, Jakob Unterholzner, Christoph Kraus, Gregor Gryglewski, Dietmar Winkler, Rene Seiger, Thomas Vanicek, Andreas Hahn, Rupert Lanzenberger
Summary: This study examined the impact of SSRI antidepressants on neuroplasticity in healthy volunteers. The results indicate that SSRI intake can alter effective connections between certain brain regions, without significantly affecting intrinsic or resting-state connections.
Article
Computer Science, Theory & Methods
Xuanwei Zeng, Yong Yang, Qiaoqiao Xu, Huimiao Zhan, Haoan Lv, Zhiqiang Zhou, Xin Ma, Xiaojuan Liu, Jiaojiao Gui, Qianruo Kang, Neal Xiong, Junfeng Gao, Hua Zheng
Summary: Postoperative delirium is a common and preventable complication after cardiovascular surgery, with increased morbidity and mortality risk. Limited strategies exist for identifying at-risk patients. This observational study collected intraoperative electroencephalography data from 50 cardiothoracic surgery patients and found that those who experienced delirium postoperatively had enhanced causal effects in the default mode network (DMN), particularly in the delta band. Using these findings, the CatBoost classifier accurately distinguished between delirious and non-delirious patients with an 89.1% success rate. These results help explain disrupted information processing in delirious patients and aid in predicting postoperative delirium.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2023)
Article
Neurosciences
Mi-Hyun Choi, Jin-Ju Jung, Je-Hyeop Lee, Ye-Jin Kim, Kyu-Beom Kim, Hyung-Sik Kim, Jeong-Han Yi, Soon-Cheol Chung
Summary: This study utilized fMRI to assess effective connectivity between brain regions during driving and performing a secondary task, revealing connections related to motor control and memory.
Article
Computer Science, Information Systems
Junfeng Gao, Xiangde Min, Qianruo Kang, Huifang Si, Huimiao Zhan, Anne Manyande, Xuebi Tian, Yinhong Dong, Hua Zheng, Jian Song
Summary: In this study, the researchers investigated the communication between different brain areas during deception using electroencephalogram (EEG) signals. The results showed that it was possible to differentiate between guilty and innocent individuals by analyzing EEG signals in different frequency bands. The fronto-parietal network was found to play a key role in deception. This study contributes to our understanding of the cognitive processes and mechanisms underlying deception.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2022)
Article
Neurosciences
Gengbiao Zhang, Ni Li, Hongkun Liu, Hongyi Zheng, Wenbin Zheng
Summary: This study investigated the changes in brain functional networks after acute alcohol exposure using sliding window analysis. The results revealed distinctive connectivity patterns under intoxication and provided insights into the alcohol-related mechanisms for neurological damage. The dynamic changes in brain network connectivity were consistent with participants' subjective feelings after drinking, suggesting that dynamic functional network connectivity offers a new approach for studying the effects of alcohol on the brain.
FRONTIERS IN NEUROSCIENCE
(2022)
Review
Neurosciences
Sook-Lei Liew, Artemis Zavaliangos-Petropulu, Neda Jahanshad, Catherine E. Lang, Kathryn S. Hayward, Keith R. Lohse, Julia M. Juliano, Francesca Assogna, Lee A. Baugh, Anup K. Bhattacharya, Bavrina Bigjahan, Michael R. Borich, Lara A. Boyd, Amy Brodtmann, Cathrin M. Buetefisch, Winston D. Byblow, Jessica M. Cassidy, Adriana B. Conforto, R. Cameron Craddock, Michael A. Dimyan, Adrienne N. Dula, Elsa Ermer, Mark R. Etherton, Kelene A. Fercho, Chris M. Gregory, Shahram Hadidchi, Jess A. Holguin, Darryl H. Hwang, Simon Jung, Steven A. Kautz, Mohamed Salah Khlif, Nima Khoshab, Bokkyu Kim, Hosung Kim, Amy Kuceyeski, Martin Lotze, Bradley J. MacIntosh, John L. Margetis, Feroze B. Mohamed, Fabrizio Piras, Ander Ramos-Murguialday, Genevieve Richard, Pamela Roberts, Andrew D. Robertson, Jane M. Rondina, Natalia S. Rost, Nerses Sanossian, Nicolas Schweighofer, Na Jin Seo, Mark S. Shiroishi, Surjo R. Soekadar, Gianfranco Spalletta, Cathy M. Stinear, Anisha Suri, Wai Kwong W. Tang, Gregory T. Thielman, Daniela Vecchio, Arno Villringer, Nick S. Ward, Emilio Werden, Lars T. Westlye, Carolee Winstein, George F. Wittenberg, Kristin A. Wong, Chunshui Yu, Steven C. Cramer, Paul M. Thompson
Summary: The ENIGMA Stroke Recovery working group aims to understand the relationship between brain and behavior using meta- and mega-analytic approaches. They have developed neuroinformatics protocols and methods to manage large-scale data from over 2,100 stroke patients. The challenges and recommendations for data harmonization in stroke research are discussed.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
Junlin Shen, Bingbing Yang, Zhonghua Xie, Heng Wu, Zhanye Zheng, Jianhua Wang, Ping Wang, Peng Zhang, Wei Li, Zhaoxiang Ye, Chunshui Yu
Summary: Mapping gene expression profiles to neuroimaging phenotypes in the same anatomical space reveals associations between different cell types (neurons, astrocytes, microglia) and the regional homogeneity (ReHo) of spontaneous brain activity, with possible molecular substrates identified for multiple sclerosis (MS) and Alzheimer's disease (AD).
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Clinical Neurology
Ling Wang, Hao Ding, Bihong T. Chen, Ke Fan, Qin Tian, Miaomiao Long, Meng Liang, Dapeng Shi, Chunshui Yu, Wen Qin
Summary: LHON patients show occult brain white matter impairment, which may not be correlated with disease duration or retinal nerve fiber layer thickness.
EUROPEAN JOURNAL OF NEUROLOGY
(2021)
Article
Clinical Neurology
Jie Sun, Yingying Xie, Qiuhui Wang, Junlin Shen, Wen Qin, Ningnannan Zhang, Chunshui Yu
Summary: The study identified 623 genes associated with grey matter volume reduction in multiple sclerosis, which are functionally related to ion channel, synaptic transmission, axon, and neuron projection. These genes show significant enrichment for MS-related genes identified by GWAS and are more significantly expressed in neurons than other cell types, indicating a potential role in the development of grey matter atrophy in MS.
JOURNAL OF NEUROLOGY
(2022)
Article
Clinical Neurology
Fenglian Zheng, Yuxin Li, Zhizheng Zhuo, Yunyun Duan, Guanmei Cao, Decai Tian, Xinghu Zhang, Kuncheng Li, Fuqing Zhou, Muhua Huang, Haiqing Li, Yongmei Li, Chun Zeng, Ningnannan Zhang, Jie Sun, Chunshui Yu, Xuemei Han, Sven Hallar, Frederik Barkhof, Yaou Liu
Summary: In a study involving 752 participants, it was found that MS patients had significantly lower hippocampal volume, FA, and MD compared to NMOSD patients and healthy controls, but no abnormal ALFF or DC were identified in any group. Hippocampal subfields were affected in both diseases, but some subfield volumes were significantly lower only in MS patients.
MULTIPLE SCLEROSIS JOURNAL
(2022)
Article
Neurosciences
Yingchao Song, Qian Su, Qingqing Yang, Rui Zhao, Guotao Yin, Wen Qin, Gian Domenico Iannetti, Chunshui Yu, Meng Liang
Summary: The study using dynamic causal modeling and high-temporal-resolution fMRI revealed a parallel structure for nociceptive and tactile information processing in the 'thalamus-S1-S2' network, with distinct corticothalamic feedback regulations from S1 and S2.
Article
Neurosciences
Congcong Yuan, An Gao, Qiang Xu, Beibei Zhang, Rui Xue, Yan Dou, Chunshui Yu
Summary: The study compared the effects of L-655,708 administered via single-dosing versus multi-dosing regimens on spatial memory, signaling molecules, and brain functional connectivity. The multi-dosing regimen was more effective in maintaining plasma concentration, improving spatial memory, increasing signaling molecule levels, and enhancing hippocampal functional connectivity.
PSYCHOPHARMACOLOGY
(2021)
Article
Neurosciences
Xiaodi Sun, Xinjun Suo, Xianyou Xia, Chunshui Yu, Yan Dou
Summary: This study demonstrates that DMF is a potential therapeutic option for Alzheimer's disease (AD) through its antioxidant, anti-inflammatory, anti-apoptotic, and other anti-AD effects by activating the Nrf2 pathway.
JOURNAL OF ALZHEIMERS DISEASE
(2022)
Article
Biochemistry & Molecular Biology
Feng Liu, Jiayuan Xu, Lining Guo, Wen Qin, Meng Liang, Gunter Schumann, Chunshui Yu
Summary: Individual differences in human brain structure, function, and behavior can be explained by genetic variations, environmental exposures, and their interactions. While genetic variants associated with brain imaging phenotypes have been identified, the environmental exposures related to these phenotypes are largely unknown. This study proposes that research in environmental neuroscience should focus on understanding the associations between lifetime environmental exposures and brain imaging phenotypes, as well as identifying cumulative environmental effects and their vulnerable age windows.
MOLECULAR PSYCHIATRY
(2023)
Article
Neurosciences
Jingchun Liu, Caihong Wang, Wen Qin, Hao Ding, Yanmin Peng, Jun Guo, Tong Han, Jingliang Cheng, Chunshui Yu
Summary: Subcortical ischemic stroke can cause long-lasting changes in the cerebral cortex. This study investigated the relationship between cortical structural changes, motor recovery, lesion location, and early impairment of specific subsets of fibers in the corticospinal tract (CST) in patients with subcortical stroke. The findings revealed different patterns of cortical structural changes in patients with partial and complete recovery, which were associated with lesion location and impairment of specific CST fiber subsets.
HUMAN BRAIN MAPPING
(2023)
Article
Neurosciences
Rui Zhao, Qian Su, Yingchao Song, Qingqing Yang, Sijia Wang, Juan Zhang, Wen Qin, Chunshui Yu, Meng Liang
Summary: Pain is subjective, and each individual has a unique pattern of brain responses to pain stimuli. These individual differences in brain activations are associated with an individual's awareness and vigilance towards pain.
Article
Neurosciences
Huaigui Liu, Wei Li, Nana Liu, Jie Tang, Lixin Sun, Jiayuan Xu, Yuan Ji, Yingying Xie, Hao Ding, Zhaoxiang Ye, Chunshui Yu, Wen Qin
Summary: Evidence suggests that dysregulation of the dopamine (DA) system and dysfunction of the prefrontal cortex (PFC) may contribute to the development of schizophrenia. However, the relationship between DA genes, PFC morphology, and schizophrenia is still not fully understood. In this study, we analyzed brain gene expression data and structural magnetic resonance imaging data to identify specific PFC subregions that are associated with the expression profiles of DA genes. We found that some PFC subregions showed abnormal increases in gray matter volume covariance with other brain regions in schizophrenia patients. Furthermore, our analysis of postmortem expression data revealed reduced coexpression of DA genes between the middle frontal gyrus and hippocampus in schizophrenia patients, with these genes being implicated in brain functions related to working memory, reward processing, speech production, and episodic memory.
Article
Neurosciences
Wenshuang Zhu, Feng Liu, Jilian Fu, Wen Qin, Kaizhong Xue, Jie Tang, Yong Zhang, Chunshui Yu
Summary: This study identified 903 clinically sensitive genes and 633 clinically insensitive genes associated with ALFF alterations in MDD. The sensitive genes were enriched for cell differentiation and development, while the insensitive genes were enriched for ion transport and synaptic signaling.
CNS NEUROSCIENCE & THERAPEUTICS
(2023)
Article
Neuroimaging
Ling Wang, Yi Ji, Hao Ding, Qin Tian, Ke Fan, Dapeng Shi, Chunshui Yu, Wen Qin
Summary: The study used arterial spin labeling (ASL) to investigate abnormal cerebral blood flow (CBF) in patients with Leber's hereditary optic neuropathy (LHON) and its associations with disease duration and neuro-ophthalmological impairment. The results showed differences in brain regions of LHON patients, including the left sensorimotor and bilateral visual areas. LHON patients had lower CBF in the bilateral calcarine compared to healthy controls. Chronic LHON patients also showed lower CBF in the left middle frontal gyrus, sensorimotor cortex, and temporal-partial junction. Disease duration and neuro-ophthalmological impairments were found to affect the metabolism of non-visual areas.
BRAIN IMAGING AND BEHAVIOR
(2023)
Article
Clinical Neurology
Kaori L. Ito, Bokkyu Kim, Jingchun Liu, Surjo R. Soekadar, Carolee Winstein, Chunshui Yu, Steven C. Cramer, Nicolas Schweighofer, Sook-Lei Liew
Summary: This retrospective study found that evaluating CST-LL from additional motor origins, such as the ventral premotor cortex, is more strongly associated with post-stroke motor severity than using CST-LL originating from primary motor cortex alone. This suggests that higher order motor regions add clinical relevance to motor impairment.
NEUROREHABILITATION AND NEURAL REPAIR
(2022)
