Article
Neurosciences
Serafeim Loukas, Lara Lordier, Djalel-Eddine Meskaldji, Manuela Filippa, Joana Sa de Almeida, Dimitri Van de Ville, Petra S. Hueppi
Summary: Research indicates that even during the newborn period, familiar music and unfamiliar music are processed differently by the brain. After music listening, functional connectivity between brain regions in all newborns is modulated. Premature infants exposed to music experience enhanced functional connectivity between brain regions after listening to music.
HUMAN BRAIN MAPPING
(2022)
Article
Clinical Neurology
Hussam Metwali, Tamer Ibrahim, Mathijs Raemaekers
Summary: Resting-state networks (RSNs) under anesthesia can be used for intraoperative brain mapping and remapping during tumor resection, but there is a significant decrease in network connectivity with the continuation of anesthesia.
WORLD NEUROSURGERY
(2021)
Article
Neurosciences
Zachery D. Morrissey, Liang Zhan, Olusola Ajilore, Alex D. Leow
Summary: Resting-state functional magnetic resonance imaging (rs-fMRI) is widely used in connectomics to study the functional relationships between brain regions, facing challenges in modeling negative correlations. The new method rest2vec uses embedding techniques to transform connectomes into low-dimensional vector spaces, aiding in understanding the functional organization of the brain.
Article
Neurosciences
Lucy S. King, M. Catalina Camacho, David F. Montez, Kathryn L. Humphreys, Ian H. Gotlib
Summary: This study found that the quantity and quality of language input infants receive from their caregivers can impact the functional connectivity of language networks in the brain, particularly highlighting the importance of vocal interactions with caregivers in the development of infant brain function. Infants who engaged in more adult-infant conversational turns had lower connectivity in the posterior temporal language network, indicating the significance of interactive communication in early language development.
JOURNAL OF NEUROSCIENCE
(2021)
Article
Neurosciences
Reid Blanchett, Yuanyuan Chen, Fernando Aguate, Kai Xia, Emil Cornea, S. Alexandra Burt, Gustavo de Los Campos, Wei Gao, John H. Gilmore, Rebecca C. Knickmeyer
Summary: Functional magnetic resonance imaging (fMRI) is used to identify complex brain networks, and researchers explored the genetic and environmental influences on these networks in early infancy. They found that genetic factors have minimal influence on brain connectivity in early infancy, while specific demographic and medical history variables may affect resting-state connectivity measures.
Article
Clinical Neurology
Jifei Sun, Yue Ma, Chunlei Guo, Zhongming Du, Limei Chen, Zhi Wang, Xiaojiao Li, Ke Xu, Yi Luo, Yang Hong, Xue Yu, Xue Xiao, Jiliang Fang, Jie Lu
Summary: This study found abnormal functional connectivity (FC) in four brain networks (DMN, AN, SN, CCN) in both patients with treatment-resistant depression (TRD) and non-TRD (nTRD). FC alterations in the affective network (AN) and cognitive control network (CCN) were more severe in the TRD group compared to the nTRD group. Additionally, specific brain regions' FC values were positively correlated with clinical symptoms.
PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY
(2023)
Article
Multidisciplinary Sciences
Anna Combes, Lipika Narisetti, Anirban Sengupta, Baxter P. Rogers, Grace Sweeney, Logan Prock, Delaney Houston, Colin D. McKnight, John C. Gore, Seth A. Smith, Kristin P. O'Grady
Summary: This study investigates the functional connectivity features of the human lumbar spinal cord using resting-state fMRI. The results show synchronous signal fluctuations in the ventral and dorsal horns and reveal components within the gray matter corresponding to anatomical regions. The study demonstrates the feasibility of rs-fMRI to probe the functional features and organization of the lumbar spinal cord.
SCIENTIFIC REPORTS
(2023)
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
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)
Review
Behavioral Sciences
Weijie Bao, Yingxue Gao, Lingxiao Cao, Hailong Li, Jing Liu, Kaili Liang, Xinyue Hu, Lianqing Zhang, Xinyu Hu, Qiyong Gong, Xiaoqi Huang
Summary: Studies have found that individuals with posttraumatic stress disorder (PTSD) exhibit decreased functional connectivity within the default mode network (DMN) and between the affective network (AN) and DMN, while hyperconnectivity between the affective network and somatomotor network (SMN), and between the DMN and SMN is specifically related to PTSD. These results emphasize the impact of trauma on alterations in intrinsic brain networks and highlight disease-associated network changes.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
(2021)
Article
Neurosciences
Ioannis K. Gallos, Evangelos Galaris, Constantinos I. Siettos
Summary: This study utilized various manifold learning algorithms to construct functional connectivity networks from resting-state fMRI data of schizophrenia patients and healthy controls. The diffusion maps with cross correlation metric outperformed other combinations in terms of classification potential.
COGNITIVE NEURODYNAMICS
(2021)
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
Neurosciences
Xiaole Z. Zhong, J. Jean Chen
Summary: This study investigates the age and sex effects on the frequency content of the rs-fMRI signal using the Leipzig mind-brain-body data set. The findings demonstrate that the rs-fMRI fluctuation frequency is higher in older adults, and men have higher rs-fMRI frequency than women. The effects of age and sex on fMRI frequency vary with frequency band examined.
HUMAN BRAIN MAPPING
(2022)
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
Gwen van der Wijk, Jacqueline K. Harris, Stefanie Hassel, Andrew D. Davis, Mojdeh Zamyadi, Stephen R. Arnott, Roumen Milev, Raymond W. Lam, Benicio N. Frey, Geoffrey B. Hall, Daniel J. Muller, Susan Rotzinger, Sidney H. Kennedy, Stephen C. Strother, Glenda M. MacQueen, Andrea B. Protzner
Summary: By studying a large group of MDD patients and controls using fMRI data, differences in functional connectivity in patients were identified. Baseline connectivity of the anterior/posterior cingulate and insula seeds could differentiate patients with different treatment outcomes, highlighting features that might predict remission prior to pharmacotherapy.
Article
Neuroimaging
Fuchun Lin, Xu Han, Yao Wang, Weina Ding, Yawen Sun, Yan Zhou, Hao Lei
Summary: Recent studies have shown sex-specific differences in the etiology, course, and brain dysfunction associated with cigarette smoking, but little is known about sex-specific differences in subcortical structure and function. This study found that male smokers had a smaller volume in the left caudate, while female smokers showed a smaller volume in the right amygdala. Additionally, resting-state FC analysis revealed increased rsFC between the left caudate and left prefrontal cortex in male smokers, as well as decreased rsFC within the bilateral caudate and between the right amygdala and right orbitofrontal cortex (OFC). These findings underscore the potential for sex-specific relapse prevention therapies based on subcortical structure and function.
BRAIN IMAGING AND BEHAVIOR
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Lifeng Gao, Mingming Huang, Xiaowen Luo, Tao Song, Xuxia Wang, Zhe Wang, Wei Zhang, Jiangyuan Chen, Hao Lei
MAGNETIC RESONANCE IMAGING
(2020)
Article
Psychiatry
Xianxin Qiu, Xu Han, Yao Wang, Weina Ding, Yawen Sun, Yan Zhou, Hao Lei, Fuchun Lin
FRONTIERS IN PSYCHIATRY
(2020)
Article
Clinical Neurology
Tao Song, Wei Chen, Xi Chen, Hui Zhang, Yijuan Zou, Hao Wu, Fuchun Lin, Liyi Ren, Yan Kang, Hao Lei
Summary: The study in adult rats demonstrates that repeated administration of fluoxetine induces both short-term and long-term astrocytic plasticity in the medial prefrontal cortex. Fluoxetine treatment leads to transient reductions in astrocytic metabolites and markers initially, but these levels recover to baseline after treatment cessation.
PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY
(2021)
Article
Geriatrics & Gerontology
Xiaoqian Zhang, Wei Chen, Yi Wu, Weiqi Zeng, Yuhao Yuan, Chi Cheng, Xiaoman Yang, Jialing Wang, Xiaomei Yang, Yu Xu, Hao Lei, Xuebing Cao, Yan Xu
Summary: Long-term levodopa therapy in Parkinson's disease patients often leads to L-DOPA-induced dyskinesia (LID), a type of motor complications. This study investigated structural changes in a rat model of LID through MRI and histological analysis, revealing volume reductions in cortical and subcortical areas along with astrocyte activation and synaptic protein enrichment in the striatum. The findings underscore the potential of structural MRI, particularly VBM analysis, in understanding the morphological phenotype of LID rodent models.
FRONTIERS IN AGING NEUROSCIENCE
(2021)
Article
Biochemical Research Methods
Tiantian Fang, Wei Chen, Yiyu Cheng, Yanyan Zhang, Qun Luo, Kui Wu, Fuyi Wang, Hao Lei, Yao Zhao
Summary: Manganese-enhanced MRI (MEMRI) is a powerful tool for studying neuronal activity and microarchitecture. However, the effect of exogenous manganese on the brain of Parkinson's disease model mice is not well understood. This study used laser ablation connected to inductively coupled plasma mass spectrometry (LA-ICP-MS) imaging to assess the distribution of manganese and other endogenous metal ions in the brain regions of DJ-1 knockout PD model mice. The results showed that manganese mainly deposited in subcortical regions and the enhanced signal-to-noise ratio (S/N) determined by MEMRI was closely related to the signal in LA-ICP-MS imaging. Additionally, the treatment of MnCl2 disrupted the homeostasis of iron, zinc, copper, and calcium in the DJ-1 mouse.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2022)
Article
Psychiatry
Zhi Wen, Xu Han, Yao Wang, Weina Ding, Yawen Sun, Yan Kang, Yan Zhou, Hao Lei, Fuchun Lin
Summary: Biological sex plays a significant role in cigarette use and cessation outcomes, as well as the brain structure and function of smokers. This study found sex-specific alterations in spontaneous brain activity among smokers and non-smokers, suggesting the potential influence of sex on nicotine addiction and the effectiveness of quitting smoking.
FRONTIERS IN PSYCHIATRY
(2022)
Article
Biochemical Research Methods
Wei Chen, Huihui Liu, Sijie Liu, Yan Kang, Zongxiu Nie, Hao Lei
Summary: In this study, researchers used in vivo proton magnetic resonance spectroscopy (H-1-MRS) and matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) to investigate the neurochemical perturbations in the medial prefrontal cortex (mPFC) of DJ-1 knockout mice, a transgenic model for Parkinson's disease. The results showed increased levels of glutathione (GSH) and GSH/glutamate (Glu) ratio in the mPFC of DJ-1 knockout mice compared to wild-type mice, suggesting an astrocytic compensatory mechanism in response to oxidative stress caused by loss of DJ-1 function. The study also emphasized the caution needed in interpreting in vivo H-1-MRS results from aged transgenic animals and the importance of complementary analyses using more than one method.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2022)
Article
Neuroimaging
Xianxin Qiu, Xu Han, Yao Wang, Weina Ding, Yawen Sun, Hao Lei, Yan Zhou, Fuchun Lin
Summary: This study investigated the interaction between smoking and internet gaming disorder (IGD) and its effects on brain functional network organization. The findings showed that the interaction between smoking and IGD led to significant changes in the functional network characteristics in specific brain regions. This provides valuable insights into the neurophysiological mechanisms of smoking and IGD, and suggests a potential target for future clinical treatment.
BRAIN IMAGING AND BEHAVIOR
(2022)
Article
Neurosciences
Shengjuan Wu, Zhi Wen, Wenzhong Yang, Chengcheng Jiang, Yurong Zhou, Zhiwei Zhao, Aiqin Zhou, Xinglian Liu, Xiaoyan Wang, Yue Wang, Hong Wang, Fuchun Lin
Summary: This study aimed to investigate the differences in dynamic brain activity between children with autism spectrum disorder (ASD) and language development delay (LDD), and whether these differences can be used as imaging biomarkers for the early differential diagnosis of ASD and LDD. The findings showed that the pattern of brain activity was different between children with ASD and those with LDD, suggesting that dynamic regional indices might be novel neuroimaging biomarkers to distinguish ASD from LDD in toddlers.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Neurosciences
Yajuan Wang, Yingshuang Wang, Lihong Bu, Shaoyang Wang, Xinhui Xie, Fuchun Lin, Zheman Xiao
Summary: This study examines the differences in resting-state functional connectivity (rsFC) between migraine and tension-type headache patients, focusing on brain regions associated with cognition and emotion. The results demonstrate that rsFC alterations in the amygdala and hippocampus with the occipital lobe can be effective in distinguishing patients with migraine from patients with tension-type headaches.
FRONTIERS IN NEUROSCIENCE
(2022)