Article
Neurosciences
Julia Huck, Anna-Thekla Jaeger, Uta Schneider, Sophia Grahl, Audrey P. Fan, Christine Tardif, Arno Villringer, Pierre-Louis Bazin, Christopher J. Steele, Claudine J. Gauthier
Summary: Resting-state functional magnetic resonance imaging (rs-fMRI) is used to detect low-frequency fluctuations in the BOLD signal across brain regions. Venous biases can affect the amplitude and location of the BOLD signal, as well as connectivity measures derived from rs-fMRI. This study investigated the impact of vein diameter and distance on various rs-fMRI measures in the grey matter. It was found that smaller veins had higher values across all distances, while values associated with larger veins decreased with increasing distance. Models were proposed to correct for this venous bias in rs-fMRI metrics.
HUMAN BRAIN MAPPING
(2023)
Article
Psychology, Multidisciplinary
Sonia Di Tella, Matteo De Marco, Francesca Baglio, Maria Caterina Silveri, Annalena Venneri
Summary: This study investigated the impact of cognitive reserve on functional connectivity in patients with Parkinson's disease and found that individuals with low cognitive reserve had weaker functional connectivity in the prefrontal cortex and basal ganglia. They also exhibited downregulation of attentional control networks and compensatory upregulation of medial frontal regions. These findings enhance our understanding of the mechanisms underlying cognitive impairments in Parkinson's disease.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Neurosciences
Siemon C. de Lange, Koen Helwegen, Martijn P. van den Heuvel
Summary: We present a toolbox called CATO for reconstructing brain connectivity using diffusion weighted imaging and resting-state functional MRI data. This multimodal software package allows for end-to-end reconstructions, customized analyses, and utilization of various software packages for data preprocessing. Structural and functional connectome maps can be reconstructed based on user-defined atlases, providing aligned connectivity matrices for multimodal analyses. The performance of CATO was evaluated using simulated diffusion weighted imaging data and real data from the Human Connectome Project. CATO is open-source software available as a MATLAB toolbox and stand-alone application.
Article
Neurosciences
Clement M. Garin, Nachiket A. Nadkarni, Brigitte Landeau, Gael Chetelat, Jean-Luc Picq, Salma Bougacha, Marc Dhenain
Summary: This study presents the first functional atlas of the mouse lemur brain and describes its cerebral networks for the first time, revealing both similarities and differences between mouse lemur and human brain networks. Mouse lemur high-level cortical networks were found to be similar to human networks, but not homologous.
Article
Psychology, Developmental
Bosi Chen, Annika Linke, Lindsay Olson, Cynthia Ibarra, Mikaela Kinnear, Inna Fishman
Summary: This study examined resting-state fMRI data from 24 typically developing toddlers aged 1.5-3.5 years, revealing that changes in spatial variability and network homogeneity were associated with age and developmental skills. Older children displayed less spatial variability in the default mode network, while higher-order functional networks showed increased network homogeneity related to more advanced developmental skills.
DEVELOPMENTAL COGNITIVE NEUROSCIENCE
(2021)
Article
Neurosciences
Haatef Pourmotabbed, Amy L. de Jongh Curry, Dave F. Clarke, Elizabeth C. Tyler-Kabara, Abbas Babajani-Feremi
Summary: This study investigated the reproducibility and sensor versus source association of global graph measures in resting-state magnetoencephalography data. Results showed that graph measures had good reliability and significant sensor versus source association. Amplitude metrics showed the greatest reliability and sensor versus source association.
HUMAN BRAIN MAPPING
(2022)
Article
Pediatrics
Philippe Vo Van, Jonathan Beck, Helene Meunier, Perrine Venot, Gratiella Mac Caby, Nathalie Bednarek, Gauthier Loron
Summary: This study compared the accuracy of ultrasound and magnetic resonance imaging (MRI) in measuring 2D brain metrics and detecting brain injuries in preterm infants. The results showed that ultrasound is a reliable tool for assessing selected 2D measurements, and repetitive ultrasound measurements during the neonatal intensive care unit (NICU) stay can be used to create growth charts for various brain structures. Further research will assess whether these charts are relevant markers of neurological outcomes.
FRONTIERS IN PEDIATRICS
(2022)
Article
Psychiatry
Tushar Chouhan, Melissa H. H. Black, Sonya Girdler, Sven Bolte, Tele Tan, Cuntai Guan
Summary: This study examines the task-induced functional brain networks of autistic and non-autistic individuals during a complex facial emotion recognition task. The results show significant differences in the functional networks between autistic and non-autistic adults, suggesting altered connectivity and EEG frequency bands in autistic individuals. These findings provide evidence for the neural mechanisms underlying the difficulties in facial emotion recognition observed in autism.
FRONTIERS IN PSYCHIATRY
(2023)
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
Biochemistry & Molecular Biology
Nguyen Thanh Nhu, David Yen-Ting Chen, Jiunn-Horng Kang
Summary: This study compared the accuracy of network rs-FC and brain structural features in identifying FM using a machine learning approach. The results showed that the rs-FC ML model outperformed the structural ML model in distinguishing FM patients from pain-free controls, and the combined rs-FC and structural ML model performed the best. Several rs-FC features in the final ML model were found to correlate with FM's clinical data.
Article
Neurosciences
Gaelle E. Doucet, Loic Labache, Paul M. Thompson, Marc Joliot, Sophia Frangou
Summary: The study aimed to construct a reliable brain atlas derived from older participants, identifying and subdividing major RSNs with high spatial reproducibility. Results showed spatial differences in RSNs derived from older versus younger populations, leading to the creation of a novel age-appropriate brain atlas, Atlas55+, for late adulthood RSN studies.
Article
Neurosciences
Xiaochuan Wang, Ying Chu, Qianqian Wang, Liang Cao, Lishan Qiao, Limei Zhang, Mingxia Liu
Summary: This study introduces an unsupervised contrastive graph learning framework for fMRI-based brain disease analysis. It generates informative rs-fMRI representations using unlabeled training data and fine-tunes the model for downstream disease identification tasks.
HUMAN BRAIN MAPPING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Mei-Yu Yeh, Henry S. Chen, Ping Hou, Vinodh A. Kumar, Jason M. Johnson, Kyle R. Noll, Sujit S. Prabhu, Sherise D. Ferguson, Donald F. Schomer, Hsu-Hsia Peng, Ho-Ling Liu
Summary: This study investigated the utilization of resting-state blood oxygenation level-dependent signal for cerebrovascular reactivity mapping in patients with gliomas. The optimal frequency ranges for rs-CVR were determined to be 0.04-0.08 Hz and 0.02-0.04 Hz, showing higher correlations with breath-hold MRI results compared to resting-state fluctuation amplitude method.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Article
Neurosciences
Carolina B. D'Andrea, Scott Marek, Andrew N. Van, Ryland L. Miller, Eric A. Earl, Stephanie B. Stewart, Nico U. F. Dosenbach, Bradley L. Schlaggar, Timothy O. Laumann, Damien A. Fair, Evan M. Gordon, Deanna J. Greene
Summary: This study used functional connectivity MRI to investigate the development of visual pathways in children and adults. The results showed that children have stronger functional connectivity between the brainstem motor area and the facial somatosensory cortical network compared to adults. Additionally, children's thalamus showed more integration with multiple networks, while there were no developmental differences in cerebellar connectivity.
Article
Clinical Neurology
Xiaomeng Wu, Lifei Ma, Qiufeng Yin, Ming Liu, Kyle Wu, Dengbin Wang
Summary: This study aims to explore the impact of wearing face masks on brain functions using resting-state functional MRI (RS-fMRI). The results showed that wearing a KN95 face mask can cause short-term changes in human resting brain function, and both local neural activities and functional connectivity in brain regions are sensitive to mask wearing.
FRONTIERS IN NEUROLOGY
(2023)
Article
Psychology, Developmental
Zeng-Hui Ma, Bin Lu, Xue Li, Ting Mei, Yan-Qing Guo, Liu Yang, Hui Wang, Xin-Zhou Tang, Zhao-Zheng Ji, Jing-Ran Liu, Ling-Zi Xu, Yu-Lu Yang, Qing-Jiu Cao, Chao-Gan Yan, Jing Liu
Summary: The study revealed that individuals with autism spectrum disorder exhibit atypical developmental changes in cortico-striatal intrinsic functional connectivity, with connectivity increasing with age, while typically developing individuals show either decreasing or constant connectivity with age. Significant correlations were found between these connectivity changes and specific autistic behaviors.
Article
Anesthesiology
Yali Chen, Siyang Li, Xia Liang, Jun Zhang
Summary: Ketamine increases brain metabolism while reducing metabolic connectivity and efficiency of cortical networks. Modulation of these cortical metabolic networks may be a candidate mechanism underlying general anesthesia-induced loss of consciousness.
ANESTHESIA AND ANALGESIA
(2022)
Article
Clinical Neurology
Ke Deng, Ji-Hui Yue, Jian Xu, Ping-Ping Ma, Xiao Chen, Le Li, Tong-Jian Bai, Qi-Jing Bo, Jun Cao, Guan-Mao Chen, Ning-Xuan Chen, Wei Chen, Chang Cheng, Xi-Long Cui, Jia Duan, Yi-Ru Fang, Qi-Yong Gong, Wen-Bin Guo, Zheng-Hua Hou, Lan Hu, Li Kuang, Feng Li, Tao Li, Yan-Song Liu, Zhe-Ning Liu, Yi-Cheng Long, Qing-Hua Luo, Hua-Qing Meng, Dai-Hui Peng, Hai-Tang Qiu, Jiang Qiu, Yu-Shu Shi, Tian-Mei Si, Yan-Qin Tang, Fei Wang, Kai Wang, Li Wang, Xiang Wang, Ying Wang, Xiao-Ping Wu, Xin-Ran Wu, Chun-Ming Xie, Guang-Rong Xie, Hai-Yan Xie, Peng Xie, Hong Yang, Jian Yang, Jia-Shu Yao, Shu-Qiao Yao, Ying-Ying Yin, Yong-Gui Yuan, Ai-Xia Zhang, Hong Zhang, Ke-Rang Zhang, Lei Zhang, Zhi-Jun Zhang, Ru-Bai Zhou, Yi-Ting Zhou, Jun-Juan Zhu, Chao-Jie Zou, Cong Zhou, Xi-Nian Zuo, Chao-Gan Yan, Xiu-Feng Xu, Yu-Qi Cheng
Summary: Based on a large sample analysis of brain imaging data, we found that patients with Major Depressive Disorder (MDD) exhibit reduced homotopic connectivity, particularly in the posterior cingulate gyrus/precuneus (PCC/PCu) region. Furthermore, this reduction is influenced by gender, age, episode type, and illness severity. These findings suggest a tendency for disrupted information exchange between hemispheres in the depressed brain.
Article
Psychology, Clinical
KangCheng Wang, YuFei Hu, ChaoGan Yan, MeiLing Li, YanJing Wu, Jiang Qiu, XingXing Zhu
Summary: This study investigated the brain morphology of depressed patients using voxel-based morphometry (VBM) and source-based morphometry (SBM) methods, and identified differences between first-episode and recurrent patients. These findings offer a promising multivariate approach for identifying potential neurobiological markers for depression.
PSYCHOLOGICAL MEDICINE
(2023)
Article
Neuroimaging
Chongyang Tang, Peng Ren, Kaiqiang Ma, Siyang Li, Xiongfei Wang, Yuguang Guan, Jian Zhou, Tianfu Li, Xia Liang, Guoming Luan
Summary: Volumetric MRI atrophy is a hallmark of Rasmussen's encephalitis (RE). In this study, voxel-wise gray matter (GM) atrophy in RE was investigated, along with its associations with glucose hypometabolism and neurotransmitter distribution using MRI and PET data. RE patients showed extensive GM volume loss in both hemispheres, with more severe atrophy in the insular and temporal cortices on the affected side. FDG-PET revealed significant hypometabolism around the insular cortices of the ipsilesional hemisphere.
NEUROIMAGE-CLINICAL
(2022)
Review
Neurosciences
Fan Zhang, Alessandro Daducci, Yong He, Simona Schiavi, Caio Seguin, Robert E. Smith, Chun-Hung Yeh, Tengda Zhao, Lauren J. O'Donnell
Summary: This paper provides a high-level overview of how diffusion magnetic resonance imaging (dMRI) tractography is used for quantitative analysis of the brain's structural connectivity. The paper focuses on two types of quantitative analyses - tract-specific analysis and connectome-based analysis. It also reviews studies that have used quantitative tractography approaches to study the brain's white matter in various fields. The paper concludes that there is no consensus on the best methodology in quantitative analysis of tractography, and caution should be exercised when interpreting results.
Article
Neurosciences
Siyang Li, Yali Chen, Peng Ren, Zhipeng Li, Jun Zhang, Xia Liang
Summary: This study conducted graph-theoretical analyses on resting-state fMRI data to search for the neural correlates of consciousness (NCC) candidates. The results found these regions to be located in the prefrontal and temporoparietal cortices and related to the sustained existence of conscious content. The study also revealed two recurring brain states, one dominated by NCC regions and the other primarily composed of sensory/motor regions. Additionally, the study found that NCC was modulated by the loss of consciousness induced by propofol anesthesia.
HUMAN BRAIN MAPPING
(2023)
Article
Oncology
Hongbo Bao, Peng Ren, Liye Yi, Zhonghua Lv, Wencai Ding, Chenlong Li, Siyang Li, Zhipeng Li, Xue Yang, Xia Liang, Peng Liang
Summary: Increasing evidence suggests that the location of gliomas is associated with their cellular origin, molecular alterations, and genetic profile. This research aimed to elucidate the mechanisms underlying the tumor location preference in glioblastoma multiforme (GBM) and lower-grade glioma (LGG), and to use glioma location features to predict prognosis. MRI images from patients with GBM and LGG were analyzed, and the correlation between glioma distribution and gene expression in healthy brains was investigated. Transcriptomic differences in tumor tissue from preferred and non-preferred sites were also evaluated. Additionally, tumor anatomical localization was quantitatively characterized, and its relationship with overall survival was explored. Finally, a support vector machine was employed to build a survival prediction model for GBM patients. The findings revealed distinct location preferences for GBMs and LGGs, and identified specific gene activation patterns and anatomical distance metrics that could predict GBM 1-year survival status. These results provide new insights into tumor anatomical localization and have important implications for individualized therapy and prognosis prediction.
INTERNATIONAL JOURNAL OF CANCER
(2023)
Article
Neurosciences
Yicheng Long, Xuan Ouyang, Chaogan Yan, Zhipeng Wu, Xiaojun Huang, Weidan Pu, Hengyi Cao, Zhening Liu, Lena Palaniyappan
Summary: This study investigated the test-retest reliability and demographic-related effects on the temporal clustering coefficient using data from the Human Connectome Project. The results showed moderate test-retest reliability of the temporal clustering coefficient at both global and subnetwork levels. Female subjects had higher temporal clustering coefficient than males, particularly in the default-mode and subcortical regions. The temporal clustering coefficient of the subcortical subnetwork was positively correlated with age in young adults.
HUMAN BRAIN MAPPING
(2023)
Article
Neurosciences
Peng Ren, Wencai Ding, Siyang Li, Guiyou Liu, Meng Luo, Wenyang Zhou, Rui Cheng, Yiqun Li, Pingping Wang, Zhipeng Li, Lifen Yao, Qinghua Jiang, Xia Liang, Alzheimers Dis Neuroimaging Initiat
Summary: The study investigates the functional dysconnectivity of the nucleus basalis of Meynert (NbM) in Alzheimer's disease (AD) and its transcriptional correlates. The results reveal that NbM dysconnectivity is associated with specific gene expression abnormalities related to protein and immune functions, cholinergic receptors, immune, vascular and energy metabolism functions. These dysconnectivity-correlated gene sets contribute to preclinical amyloid-beta change and MCI onset age, highlighting their potential role in the early pathology of AD.
NEUROBIOLOGY OF DISEASE
(2023)
Article
Neurosciences
Hui-Xian Li, Bin Lu, Yu-Wei Wang, Xue-Ying Li, Xiao Chen, Chao-Gan Yan
Summary: In this study, real-time self-generated thoughts during resting-state fMRI scans were collected via the think-aloud method. The study explored the relationship between self-generated thoughts and brain activation and found that self-generated thoughts involved multiple brain regions and networks. This study highlights the importance of considering individual inner experiences during resting-state fMRI and provides preliminary support for think-aloud fMRI.
Article
Psychology, Clinical
Cristina Canete-Masse, Maria Carbo-Carrete, Maribel Pero-Cebollero, Shi-Xian Cui, Chao-Gan Yan, Joan Guardia-Olmos
Summary: This study investigated brain abnormalities in Down syndrome (DS) using neuroimaging techniques. It found that DS patients exhibit alterations in degree centrality, functional connectivity, and brain networks. The findings suggest hypo- and hyperconnectivity within and between networks in DS, potentially related to the characteristics of the population.
INTERNATIONAL JOURNAL OF CLINICAL AND HEALTH PSYCHOLOGY
(2023)
Article
Clinical Neurology
Wencai C. Ding, Peng Ren, Liye Yi, Yao F. Si, Fan L. Yang, Zhipeng Li, Hongbo L. Bao, Shi W. Yan, Xinyu Zhang, Siyang Li, Xia Liang, Lifen Yao
Summary: This study investigated cortical and subcortical microstructural changes in frontotemporal lobar degeneration (FTLD) subtypes, finding that patients with FTLD showed alterations in cortical mean diffusivity and cortical thinning. Anomalies in subcortical white matter diffusion were widely distributed across the frontotemporal and parietal areas. Different patterns of cortical and subcortical microstructural abnormalities were observed in the different FTLD subtypes, which correlated with disease severity and language functions.
ALZHEIMERS RESEARCH & THERAPY
(2023)
Article
Neurosciences
Yu-Wei Wang, Xiao Chen, Chao-Gan Yan
Summary: To address the challenge of harmonizing the site effect in big-data neuroimaging, this study comprehensively evaluated various strategies for resting-state functional magnetic resonance imaging (R-fMRI) data fusion. The evaluation included tests on residual site effect, individual identification, test-retest reliability, and replicability of group-level statistical results for widely used R-fMRI metrics across different datasets. The results showed that the Subsampling Maximum-mean-distance based distribution shift correction Algorithm (SMA) and parametric unadjusted CovBat outperformed other methods in terms of individual identification and test-retest reliability. SMA also exhibited better replicability and robustness in detecting sex differences. Additionally, the study provided practical guidelines for optimizing SMA and suggested the importance of sample size and target site distribution. Overall, this work contributes to the improvement and innovation of harmonizing methodologies for big R-fMRI data.
Article
Psychology, Mathematical
Hui-Xian Li, Bin Lu, Xiao Chen, Xue-Ying Li, Francisco Xavier Castellanos, Chao-Gan Yan
Summary: This study examines individuals' stream of thought in real time by combining oral reporting method with natural language processing using the BERT model. The results show that BERT can quantify self-generated thought content and analyze the relationship between expressions of sadness and self-generated thought content, deepening understanding of reflection and rumination.
BEHAVIOR RESEARCH METHODS
(2022)
