Article
Neuroimaging
Luqing Wei, Guo-Rong Wu, Minghua Bi, Chris Baeken
Summary: Effective connectivity analysis revealed altered resting state connections between memory and reward systems in cocaine-dependent individuals, which were associated with empathy ability.
BRAIN IMAGING AND BEHAVIOR
(2021)
Article
Neurosciences
Jiali Huang, Jae-Yoon Jung, Chang S. Nam
Summary: This study used Dynamic Causal Modeling to investigate the causal relationship among brain regions in different stages of AD. The results showed reduced connectivity and weaker connection strengths in AD patients, which were partially predictive of cognitive scores.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Clinical Neurology
Raquel Cosio-Guirado, Carles Soriano-Mas, Ines Del Cerro, Mikel Urretavizcaya, Jose M. Menchon, Virginia Soria, Cristina Canete-Masse, Maribel Pero-Cebollero, Joan Guardia-Olmos
Summary: This study investigates the dynamic effective connectivity (EC) of the default mode network (DMN) in late-life depression (LLD) patients using fMRI. The results show that the proposed LLD diagnosis algorithm achieves perfect accuracy in classifying LLD patients and controls. The importance of specific ROIs, the shape of connections, and the number of dynamic effects are found to be significant factors for distinguishing LLD patients from controls in the DMN.
JOURNAL OF AFFECTIVE DISORDERS
(2022)
Article
Neurosciences
Lukasz Bola, Huichao Yang, Alfonso Caramazza, Yanchao Bi
Summary: In high-level visual areas of the human brain, preference for inanimate objects is observed regardless of stimulation modality and individual's visual experience, while preference for animate entities is mainly observed in the visual modality. This study found that nonvisual signals can activate shape representations of stimuli when their shapes are related to action system representations, but absence of potentially competing visual inputs seems necessary for this effect to be clearly detectable in the case of animate representation.
Review
Neurosciences
Andrew D. Snyder, Liangsuo Ma, Joel L. Steinberg, Kyle Woisard, Frederick G. Moeller
Summary: Dynamic causal modeling (DCM) is a method used for analyzing the directionality of brain connectivity, but there may be a historical trend of underreporting self-connectivity findings in neuropsychiatric fMRI DCM literature. These self-connectivity findings play an important role in regulating neural activity.
FRONTIERS IN NEUROSCIENCE
(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
Stefan Frassle, Samuel J. Harrison, Jakob Heinzle, Brett A. Clementz, Carol A. Tamminga, John A. Sweeney, Elliot S. Gershon, Matcheri S. Keshavan, Godfrey D. Pearlson, Albert Powers, Klaas E. Stephan
Summary: Resting-state functional magnetic resonance imaging (rs-fMRI) is widely used for studying brain connectivity. Researchers have developed a method called rDCM that extends to rs-fMRI, offering directional estimates and scalability to whole-brain networks. Through simulations and empirical tests, rDCM has shown to be computationally efficient and produce biologically plausible results consistent with established models of effective connectivity.
HUMAN BRAIN MAPPING
(2021)
Article
Clinical Neurology
Zhaoxia Qin, Hang Qu, Huai-Bin Liang, Qichen Zhou, Wei Wang, Min Wang, Jian-Ren Liu, Xiaoxia Du
Summary: A study using resting-state functional magnetic resonance imaging found differences in effective connectivity among regions in the trigeminal vascular system between patients with migraine without aura (MWoA) and healthy controls. These results provide further evidence of the involvement of disturbed trigeminovascular nociceptive pathways in the pathophysiology of migraine.
Article
Neurosciences
Xi Jiang, Xiaole Ma, Yayuan Geng, Zhiying Zhao, Feng Zhou, Weihua Zhao, Shuxia Yao, Shimin Yang, Zhongbo Zhao, Benjamin Becker, Keith M. Kendrick
Summary: This study found that oxytocin significantly influences effective connectivity among 15 sensitive brain regions, primarily increasing connections between emotion, reward, attention, and social cognition processing networks, as well as exerting top-down control in emotion processing regions. The effects of oxytocin on effective connectivity were more extensive in males.
Article
Neurosciences
Tian Tian, Dong Liu, Guiling Zhang, Jian Wang, Changhua Wan, Jicheng Fang, Di Wu, Yiran Zhou, Yuanyuan Qin, Hongquan Zhu, Yuanhao Li, Chengxia Liu, Jiaxuan Zhang, Jia Li, Wenzhen Zhu
Summary: This study used resting-state functional MRI to investigate the altered effective connectivity among brain networks related to anxiety. They found correlations between state and trait anxiety scores and altered effective connectivity in distinct connectivity states. Furthermore, the effective connectivity networks played a mediating role in the gene-environment effects on trait anxiety.
HUMAN BRAIN MAPPING
(2023)
Article
Engineering, Biomedical
Le Zhao, Weiming Zeng, Yuhu Shi, Weifang Nie
Summary: This paper introduces a fused lasso regression approach for detecting rapid changes in brain connectivity, showing better classification accuracy compared to traditional static and sliding window dynamic EC models. The method accurately identifies change points and effectively describes dynamic brain connectivity for classification purposes.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2022)
Article
Neurosciences
Takeshi Asamizuya, Hiroharu Saito, Ryosuke Higuchi, Go Naruse, Shozo Ota, Junko Kato
Summary: This study uses magnetic resonance imaging to investigate the impact of criminals on criminal justice and explores the effective connections underlying expertise. The study reveals different connectivity patterns between legal experts and laypersons when sentencing defendants, and these patterns are influenced by mitigating factors.
Article
Clinical Neurology
Chujun Chen, Zhening Liu, Jing Zuo, Chang Xi, Yicheng Long, Ming D. Li, Xuan Ouyang, Jie Yang
Summary: Neuroimaging studies have shown abnormal cortical folding and disrupted functional connectivity in patients with major depressive disorder (MDD). This study found decreased local gyrification index in the right fusiform gyrus and altered functional connectivity patterns in MDD patients, suggesting their role in the pathophysiology of MDD.
JOURNAL OF AFFECTIVE DISORDERS
(2021)
Article
Psychology, Multidisciplinary
Rachel L. Bailey, Annie Lang
Summary: This study aimed to investigate whether the stability of highly relevant animate and inanimate information predicts encoding. The findings revealed that changes to animals were more easily recognized compared to changes to inanimate information. Additionally, changes to fleeting inanimate information were better recognized than changes to stable inanimate information. These findings indicate the adaptive significance of relevant changes in environmental threat and opportunity, and their ability to increase attention and encoding across animate and inanimate categories of information.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang
Summary: This study proposes a temporal dynamics learning (TDL) method for network-based brain disease identification using rs-fMRI time-series data. By integrating network feature extraction and classifier training into a unified framework, it addresses the issues of previous studies paying less attention to the evolution of global network structures over time and treating feature extraction and training as separate tasks.
MEDICAL IMAGE ANALYSIS
(2021)
Article
Neurosciences
Andrew D. Engell, Na Yeon Kim, Gregory McCarthy
JOURNAL OF COGNITIVE NEUROSCIENCE
(2018)
Article
Neurosciences
Andrew D. Engell, Gregory McCarthy
Article
Neurosciences
Elisabeth A. H. von dem Hagen, Lauri Nummenmaa, Rongjun Yu, Andrew D. Engell, Michael P. Ewbank, Andrew J. Calder
Article
Neurosciences
Andrew D. Engell, Gregory McCarthy
FRONTIERS IN HUMAN NEUROSCIENCE
(2014)
Article
Neurosciences
Andrew D. Engell, Gregory McCarthy
HUMAN BRAIN MAPPING
(2014)
Article
Neurosciences
Alexander Todorov, Christopher P. Said, Nikolaas N. Oosterhof, Andrew D. Engell
JOURNAL OF COGNITIVE NEUROSCIENCE
(2011)
Article
Neurosciences
Andrew D. Engell, Gregory McCarthy
JOURNAL OF NEUROSCIENCE
(2010)
Article
Ophthalmology
Christopher P. Said, Christopher D. Moore, Andrew D. Engell, Alexander Todorov, James V. Haxby
Article
Neurosciences
Lauri Nummenmaa, Andrew D. Engell, Elisabeth von dem Hagen, Richard N. A. Henson, Andrew J. Calder
Article
Neurosciences
Andrew D. Engell, Scott Huettel, Gregory McCarthy
Article
Neurosciences
Andrew D. Engell, Gregory McCarthy
Article
Ophthalmology
Andrew D. Engell, Alexander Todorov, James V. Haxby
Article
Neurosciences
Sean G. Baron, M. I. Gobbini, Andrew D. Engell, Alexander Todorov
SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE
(2011)
Article
Neurosciences
Sarah Mohr, Anxu Wang, Andrew D. Engell
SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE
(2018)