Article
Anatomy & Morphology
Zhenni Gao, Xiaojin Liu, Delong Zhang, Ming Liu, Ning Hao
Summary: Recent studies have shown that creative visual divergent thinking is associated with specific subcortical regions and the fronto-striatal dopaminergic pathways. This study used resting-state functional magnetic resonance imaging data to explore differences in spontaneous fluctuations of the subcortex between individuals with different levels of creativity. The results indicate significant differences in functional connectivity within the subcortex and a positive correlation between subcortical functional connectivity and visual divergent thinking scores.
BRAIN STRUCTURE & FUNCTION
(2021)
Article
Immunology
Johnna R. Swartz, Angelica F. Carranza, Laura M. Tully, Annchen R. Knodt, Janina Jiang, Michael R. Irwin, Camelia E. Hostinar
Summary: The study found associations between peripheral inflammation and adolescent brain connectivity, with higher TNF-α levels linked to changes in neural network connections. Associations with IL-6 and CRP were not significant, suggesting that inflammation may have unique effects on brain connectivity during adolescence.
BRAIN BEHAVIOR AND IMMUNITY
(2021)
Article
Clinical Neurology
Lei Zhang, Guanya Li, Yang Hu, Wenchao Zhang, Jia Wang, Weibin Ji, Fukun Jiang, Yaqi Zhang, Feifei Wu, Karen M. von Deneen, Shijun Duan, Guangbin Cui, Yi Zhang, Yongzhan Nie
Summary: This study found that patients with functional constipation showed altered functional connectivity within and between resting-state networks. These changes in brain connectivity were associated with constipation symptoms and altered emotions.
NEUROLOGICAL SCIENCES
(2022)
Article
Anatomy & Morphology
Sara Seoane, Cristian Modrono, Jose Luis Gonzalez-Mora, Niels Janssen
Summary: By analyzing a high spatial resolution 7T rsfMRI dataset, we found the associations between the medial temporal lobe (MTL) and different resting-state networks. Specifically, different sub-regions of the MTL were associated with different resting-state networks such as the default mode, visual, and dorsal attention networks. These findings provide new insights into the role of the MTL in resting-state networks.
BRAIN STRUCTURE & FUNCTION
(2022)
Article
Neurosciences
Han Jin, Ri-Bo Chen, Yu-Lin Zhong, Ping-Hong Lai, Xin Huang
Summary: This study revealed that patients with comitant exotropia have abnormal brain networks. These findings provide important insights into the neural mechanisms of eye movements and stereoscopic vision dysfunction in patients with comitant exotropia.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Neurosciences
Limin Peng, Zhiguo Luo, Ling-Li Zeng, Chenping Hou, Hui Shen, Zongtan Zhou, Dewen Hu
Summary: This study developed a brain parcellation method based on dynamic functional connectivity and created a new functional brain atlas. The atlas can reveal finer functional boundaries that static methods may overlook, and shows good agreement with cytoarchitectonic areas and task activation maps.
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
Biology
Filip Sobczak, Patricia Pais-Roldan, Kengo Takahashi, Xin Yu
Summary: Pupil dynamics serve as a physiological indicator of cognitive processes and arousal states of the brain in diverse behavioral experiments. By decomposing spatiotemporal patterns of resting-state fMRI using PCA and optimizing the PCA component weighting via decoding methods, unique activity patterns related to pupil diameter changes in different trials can be studied in relation to neuromodulatory centers. This novel PCA-based decoding method demonstrates the tight coupling between pupil dynamics and different neuromodulatory centers across trials.
Article
Neurosciences
Jung-Hoon Kim, Josepheen De Asis-Cruz, Kushal Kapse, Catherine Limperopoulos
Summary: The reliability and robustness of rs-fcMRI depend on minimizing the influence of head motion on brain signals. This study examined the impact of head motion on newborn brain connectivity using a large dataset. The findings revealed that head motion significantly affected connectivity, with specific effects observed in sensory-related and default mode networks. Implementing a motion correction strategy helped reduce the confounding effects of head motion on neonatal rs-fcMRI.
HUMAN BRAIN MAPPING
(2023)
Article
Neurosciences
Luoyao Pang, Huidi Li, Quanying Liu, Yue-Jia Luo, Dean Mobbs, Haiyan Wu
Summary: Motivated dishonesty is a common social behavior that varies among individuals. This study explores the relationship between brain networks and dishonesty using resting-state functional magnetic resonance imaging (rsfMRI), and demonstrates the ability to predict dishonest behavior through a model based on functional connectivity.
Article
Neurosciences
Yongfa Zhang, Fei Wang, Jie Sui
Summary: Recent research supports a fundamental self hypothesis, suggesting that the self is a baseline function of the brain that regulates cognitive processing and behavior. Understanding this hypothesis can help identify the emergence of self-biased behaviors and predict the influence of brain signals at rest on such behaviors.
Article
Neurosciences
Jeffrey M. Kenzie, Deepthi Rajashekar, Bradley G. Goodyear, Sean P. Dukelow
Summary: Around 50% of stroke patients have deficits in proprioception, but our understanding of the neurological mechanisms behind these deficits is limited. This study used resting-state functional magnetic resonance imaging (fMRI) to investigate changes in functional brain networks associated with proprioception deficits in stroke patients. The results showed reduced connectivity in specific brain regions, including the supplementary motor area and the supramarginal gyrus, in stroke patients compared to healthy controls. Functional connectivity of these regions, as well as the primary somatosensory cortex and the parietal opercular area, was significantly associated with proprioceptive function. The parietal lobe of the lesioned hemisphere was identified as an important node for proprioception after stroke, and evaluating the functional connectivity of this region could help predict recovery. The study also identified potential targets for therapeutic neurostimulation to aid in stroke recovery.
HUMAN BRAIN MAPPING
(2023)
Article
Neurosciences
Shachar Gal, Yael Coldham, Niv Tik, Michal Bernstein-Eliav, Ido Tavor
Summary: The search for an ideal approach to investigate functional connections in the human brain is a challenge for neuroscience. Recent studies have found that using naturalistic stimuli to collect functional connectivity data predicts cognitive and emotional scores more accurately than using resting-state data. Furthermore, activation maps predicted using naturalistic stimuli are better predictors of individual intelligence scores than those predicted using resting-state data.
Article
Neurosciences
Andria J. Farrens, Shahabeddin Vahdat, Fabrizio Sergi
Summary: Dynamic adaptation is the process of adjusting motor actions to changes in task dynamics. Adapted motor plans are consolidated into memories that contribute to better performance on re-exposure. This study used functional magnetic resonance imaging (fMRI) to investigate resting state functional connectivity (rsFC) specific to dynamic adaptation of wrist movements and subsequent memory formation.
JOURNAL OF NEUROSCIENCE
(2023)
Article
Multidisciplinary Sciences
Won Beom Jung, Haiyan Jiang, Soohyun Lee, Seong-Gi Kim
Summary: In order to advance fMRI-based brain science, it is important to analyze fMRI activity at the circuit level. This study combines whole-brain fMRI with neuronal silencing to dissect the responses and circuits of the somatosensory network.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)