journal
https://read.qxmd.com/read/38575041/brain-structures-and-functional-connectivity-in-neglected-children-with-no-other-types-of-maltreatment
#21
JOURNAL ARTICLE
Natasha Y S Kawata, Shota Nishitani, Akiko Yao, Shinichiro Takiguchi, Yoshifumi Mizuno, Sakae Mizushima, Kai Makita, Shoko Hamamura, Daisuke N Saito, Hidehiko Okazawa, Takashi X Fujisawa, Akemi Tomoda
Child maltreatment can adversely affect brain development, leading to vulnerabilities in brain structure and function and various psychiatric disorders. Among the various types of child maltreatment, neglect has the highest incidence rate (76.0%); however, data on its sole adverse influence on the brain remain limited. This case-control brain magnetic resonance imaging (MRI) study identified the changes in gray matter structure and function that distinguish neglected children with no other type of maltreatment (Neglect group, n = 23) from typically developing children (TD group, n = 140), and investigated the association between these structural and functional differences and specific psychosocial phenotypes observed in neglected children...
April 2, 2024: NeuroImage
https://read.qxmd.com/read/38569980/bpi-gnn-interpretable-brain-network-based-psychiatric-diagnosis-and-subtyping
#22
JOURNAL ARTICLE
Kaizhong Zheng, Shujian Yu, Liangjun Chen, Lujuan Dang, Badong Chen
Converging evidence increasingly suggests that psychiatric disorders, such as major depressive disorder (MDD) and autism spectrum disorder (ASD), are not unitary diseases, but rather heterogeneous syndromes that involve diverse, co-occurring symptoms and divergent responses to treatment. This clinical heterogeneity has hindered the progress of precision diagnosis and treatment effectiveness in psychiatric disorders. In this study, we propose BPI-GNN, a new interpretable graph neural network (GNN) framework for analyzing functional magnetic resonance images (fMRI), by leveraging the famed prototype learning...
April 1, 2024: NeuroImage
https://read.qxmd.com/read/38569979/computational-limits-to-the-legibility-of-the-imaged-human-brain
#23
JOURNAL ARTICLE
James K Ruffle, Robert J Gray, Samia Mohinta, Guilherme Pombo, Chaitanya Kaul, Harpreet Hyare, Geraint Rees, Parashkev Nachev
Our knowledge of the organisation of the human brain at the population-level is yet to translate into power to predict functional differences at the individual-level, limiting clinical applications, and casting doubt on the generalisability of inferred mechanisms. It remains unknown whether the difficulty arises from the absence of individuating biological patterns within the brain, or from limited power to access them with the models and compute at our disposal. Here we comprehensively investigate the resolvability of such patterns with data and compute at unprecedented scale...
April 1, 2024: NeuroImage
https://read.qxmd.com/read/38555995/sex-modulated-the-relationship-between-trait-approach-motivation-and-decision-making
#24
JOURNAL ARTICLE
Xiaoyi Li, Ofir Turel, Qinghua He
It has been observed that one's Behavioral Approach System (BAS) can have an effect on decision-making under uncertainty, although the results have been mixed. To discern the underlying neural substrates, we hypothesize that sex may explain the conflicting results. To test this idea, a large sample of participants was studied using resting state fMRI, utilizing fractional Amplitude of Low Frequency Fluctuations (fALFF) and Resting-State Functional Connectivity (rsFC) techniques. The results of the Iowa Gambling Task (IGT) revealed an interaction between sex and BAS, particularly in the last 60 trials (decision-making under risk)...
March 29, 2024: NeuroImage
https://read.qxmd.com/read/38554783/neural-response-during-prefrontal-theta-burst-stimulation-interleaved-tms-fmri-of-full-itbs-protocols
#25
JOURNAL ARTICLE
Kai-Yen Chang, Martin Tik, Yuki Mizutani-Tiebel, Anna-Lisa Schuler, Paul Taylor, Mattia Campana, Ulrike Vogelmann, Barbara Huber, Esther Dechantsreiter, Axel Thielscher, Lucia Bulubas, Frank Padberg, Daniel Keeser
BACKGROUND: Left prefrontal intermittent theta-burst stimulation (iTBS) has emerged as a safe and effective transcranial magnetic stimulation (TMS) treatment protocol in depression. Though network effects after iTBS have been widely studied, the deeper mechanistic understanding of target engagement is still at its beginning. Here, we investigate the feasibility of a novel integrated TMS-fMRI setup and accelerated echo planar imaging protocol to directly observe the immediate effects of full iTBS treatment sessions...
March 28, 2024: NeuroImage
https://read.qxmd.com/read/38554782/gan-mat-generative-adversarial-network-based-microstructural-profile-covariance-analysis-toolbox
#26
JOURNAL ARTICLE
Yeongjun Park, Mi Ji Lee, Seulki Yoo, Chae Yeon Kim, Jong Young Namgung, Yunseo Park, Hyunjin Park, Eun-Chong Lee, Yeo Dong Yoon, Casey Paquola, Boris C Bernhardt, Bo-Yong Park
Multimodal magnetic resonance imaging (MRI) provides complementary information for investigating brain structure and function; for example, an in vivo microstructure-sensitive proxy can be estimated using the ratio between T1- and T2-weighted structural MRI. However, acquiring multiple imaging modalities is challenging in patients with inattentive disorders. In this study, we proposed a comprehensive framework to provide multiple imaging features related to the brain microstructure using only T1-weighted MRI...
March 28, 2024: NeuroImage
https://read.qxmd.com/read/38554781/quantitative-susceptibility-mapping-through-model-based-deep-image-prior-modip
#27
JOURNAL ARTICLE
Zhuang Xiong, Yang Gao, Yin Liu, Amir Fazlollahi, Peter Nestor, Feng Liu, Hongfu Sun
The data-driven approach of supervised learning methods has limited applicability in solving dipole inversion in Quantitative Susceptibility Mapping (QSM) with varying scan parameters across different objects. To address this generalization issue in supervised QSM methods, we propose a novel training-free model-based unsupervised method called MoDIP (Model-based Deep Image Prior). MoDIP comprises a small, untrained network and a Data Fidelity Optimization (DFO) module. The network converges to an interim state, acting as an implicit prior for image regularization, while the optimization process enforces the physical model of QSM dipole inversion...
March 28, 2024: NeuroImage
https://read.qxmd.com/read/38554780/detection-of-individual-brain-tau-deposition-in-alzheimer-s-disease-based-on-latent-feature-enhanced-generative-adversarial-network
#28
JOURNAL ARTICLE
Jiehui Jiang, Rong Shi, Jiaying Lu, Min Wang, Qi Zhang, Shuoyan Zhang, Luyao Wang, Ian Alberts, Axel Rominger, Chuantao Zuo, Kuangyu Shi
OBJECTIVE: The conventional methods for interpreting tau PET imaging in Alzheimer's disease (AD), including visual assessment and semi-quantitative analysis of fixed hallmark regions, are insensitive to detect individual small lesions because of the spatiotemporal neuropathology's heterogeneity. In this study, we proposed a latent feature-enhanced generative adversarial network model for the automatic extraction of individual brain tau deposition regions. METHODS: The latent feature-enhanced generative adversarial network we propose can learn the distribution characteristics of tau PET images of cognitively normal individuals and output the abnormal distribution regions of patients...
March 28, 2024: NeuroImage
https://read.qxmd.com/read/38554779/in-vivo-mapping-of-hippocampal-venous-vasculature-and-oxygenation-using-susceptibility-imaging-at-7t
#29
JOURNAL ARTICLE
Chenyang Li, Sagar Buch, Zhe Sun, Marco Muccio, Li Jiang, Yongsheng Chen, E Mark Haacke, Jiangyang Zhang, Thomas M Wisniewski, Yulin Ge
Mapping the small venous vasculature of the hippocampus in vivo is crucial for understanding how functional changes of hippocampus evolve with age. Oxygen utilization in the hippocampus could serve as a sensitive biomarker for early degenerative changes, surpassing hippocampal tissue atrophy as the main source of information regarding tissue degeneration. Using an ultrahigh field (7T) susceptibility-weighted imaging (SWI) sequence, it is possible to capture oxygen-level dependent contrast of submillimeter-sized vessels...
March 28, 2024: NeuroImage
https://read.qxmd.com/read/38552812/emotional-processing-impairments-in-patients-with-insula-lesions-following-stroke
#30
REVIEW
Martin Lotze
Functional imaging has helped to understand the role of the human insula as a major processing network for integrating input with the current state of the body. However, these studies remain at a correlative level. Studies that have examined insula damage show lesion-specific performance deficits. Case reports have provided anecdotal evidence for deficits following insula damage, but group lesion studies offer a number of advances in providing evidence for functional representation of the insula. We conducted a systematic literature search to review group studies of patients with insula damage after stroke and identified 23 studies that tested emotional processing performance in these patients...
March 27, 2024: NeuroImage
https://read.qxmd.com/read/38548039/the-brain-markers-of-creativity-measured-by-divergent-thinking-in-childhood-hippocampal-volume-and-functional-connectivity
#31
JOURNAL ARTICLE
Wenwen Xu, Liyuan Ren, Xiaoxin Hao, Donglin Shi, Yupu Ma, Yuzheng Hu, Long Xie, Fengji Geng
Creativity, a high-order cognitive ability, has received wide attention from researchers and educators who are dedicated to promoting its development throughout one's lifespan. Currently, creativity is commonly assessed with divergent thinking tasks, such as the Alternative Uses Task. Recent advancements in neuroimaging techniques have enabled the identification of brain markers for high-order cognitive abilities. One such brain structure of interest in this regard is the hippocampus, which has been found to play an important role in generating creative thoughts in adulthood...
March 26, 2024: NeuroImage
https://read.qxmd.com/read/38548038/neural-mechanisms-distinguishing-two-types-of-cooperative-problem-solving-approaches-an-fnirs-hyperscanning-study
#32
JOURNAL ARTICLE
Mingming Zhang, Zijun Yin, Xue Zhang, Hui Zhang, Mingjing Bao, Bin Xuan
Collaborative cooperation (CC) and division of labor cooperation (DLC) are two prevalent forms of cooperative problem-solving approaches in daily life. Despite extensive research on the neural mechanisms underlying cooperative problem-solving approaches, a notable gap exists between the neural processes that support CC and DLC. The present study utilized a functional near-infrared spectroscopy (fNIRS) hyperscanning technique along with a classic cooperative tangram puzzle task to investigate the neural mechanisms engaged by both friends and stranger dyads during CC versus DLC...
March 26, 2024: NeuroImage
https://read.qxmd.com/read/38548037/neural-substrates-of-l2-l1-transfer-effects-on-phonological-awareness-in-young-chinese-english-bilingual-children
#33
JOURNAL ARTICLE
Jia-Wei Kou, Li-Ying Fan, Hsin-Chin Chen, Shiou-Yuan Chen, Xiaosu Hu, Kehui Zhang, Ioulia Kovelman, Tai-Li Chou
The growing trend of bilingual education between Chinese and English has contributed to a rise in the number of early bilingual children, who were exposed to L2 prior to formal language instruction of L1. The L2-L1 transfer effect in an L1-dominant environment has been well established. However, the threshold of L2 proficiency at which such transfer manifests remains unclear. This study investigated the behavioral and neural processes involved when manipulating phonemes in an auditory phonological task to uncover the transfer effect in young bilingual children...
March 26, 2024: NeuroImage
https://read.qxmd.com/read/38548036/diffusion-time-related-structure-function-coupling-reveals-differential-association-with-inter-individual-variations-in-body-mass-index
#34
JOURNAL ARTICLE
Jong Young Namgung, Yeongjun Park, Yunseo Park, Chae Yeon Kim, Bo-Yong Park
Body mass index (BMI) is an indicator of obesity, and recent neuroimaging studies have demonstrated that inter-individual variations in BMI are associated with altered brain structure and function. However, the mechanism underlying the alteration of structure-function correspondence according to BMI is under-investigated. In this study, we studied structural and functional connectivity derived from diffusion MRI tractography and inter-regional correlations of functional MRI time series, respectively. We combined the structural and functional connectivity information using the Riemannian optimization approach...
March 26, 2024: NeuroImage
https://read.qxmd.com/read/38537766/supervised-contrastive-learning-enhances-graph-convolutional-networks-for-predicting-neurodevelopmental-deficits-in-very-preterm-infants-using-brain-structural-connectome
#35
JOURNAL ARTICLE
Hailong Li, Junqi Wang, Zhiyuan Li, Kim M Cecil, Mekibib Altaye, Jonathan R Dillman, Nehal A Parikh, Lili He
Very preterm (VPT) infants (born at less than 32 weeks gestational age) are at high risk for various adverse neurodevelopmental deficits. Unfortunately, most of these deficits cannot be accurately diagnosed until the age of 2-5 years old. Given the benefits of early interventions, accurate diagnosis and prediction soon after birth are urgently needed for VPT infants. Previous studies have applied deep learning models to learn the brain structural connectome (SC) to predict neurodevelopmental deficits in the preterm population...
March 25, 2024: NeuroImage
https://read.qxmd.com/read/38537765/pencil-imaging-a-novel-approach-for-neuromelanin-sensitive-mri-in-parkinson-s-disease
#36
JOURNAL ARTICLE
Peng Liu, Xinhui Wang, Youmin Zhang, Pei Huang, Zhijia Jin, Zenghui Cheng, Yongsheng Chen, Qiuyun Xu, Kiarash Ghassaban, Yu Liu, Shengdi Chen, Naying He, Fuhua Yan, E Mark Haacke
BACKGROUND: Parkinson's disease (PD) is associated with the loss of neuromelanin (NM) and increased iron in the substantia nigra (SN). Magnetization transfer contrast (MTC) is widely used for NM visualization but has limitations in brain coverage and scan time. This study aimed to develop a new approach called Proton-density Enhanced Neuromelanin Contrast in Low flip angle gradient echo (PENCIL) imaging to visualize NM in the SN. METHODS: This study included 30 PD subjects and 50 healthy controls (HCs) scanned at 3T...
March 25, 2024: NeuroImage
https://read.qxmd.com/read/38527658/on-the-interplay-between-state-dependent-reconfigurations-of-global-signal-correlation-and-bold-fluctuations-an-fmri-study
#37
JOURNAL ARTICLE
Stefano Damiani, Paolo La-Torraca-Vittori, Livio Tarchi, Eleonora Tosi, Valdo Ricca, Andrea Scalabrini, Pierluigi Politi, Paolo Fusar-Poli
BACKGROUND: The dynamics of global, state-dependent reconfigurations in brain connectivity are yet unclear. We aimed at assessing reconfigurations of the global signal correlation coefficient (GSCORR), a measure of the connectivity between each voxel timeseries and the global signal, from resting-state to a stop-signal task. The secondary aim was to assess the relationship between GSCORR and blood-oxygen-level-dependent (BOLD) activations or deactivation across three different trial-conditions (GO, STOP-correct, and STOP-incorrect)...
March 23, 2024: NeuroImage
https://read.qxmd.com/read/38522806/low-intensity-transcranial-ultrasound-stimulation-improves-memory-in-vascular-dementia-by-enhancing-neuronal-activity-and-promoting-spine-formation
#38
JOURNAL ARTICLE
Jiamin Pei, Cong Zhang, Xiao Zhang, Zhe Zhao, Xiangjian Zhang, Yi Yuan
Memory is closely associated with neuronal activity and dendritic spine formation. Low-intensity transcranial ultrasound stimulation (TUS) improves the memory of individuals with vascular dementia (VD). However, it is unclear whether neuronal activity and dendritic spine formation under ultrasound stimulation are involved in memory improvement in VD. In this study, we found that seven days of TUS improved memory in VD model while simultaneously increasing pyramidal neuron activity, promoting dendritic spine formation, and reducing dendritic spine elimination...
March 22, 2024: NeuroImage
https://read.qxmd.com/read/38521212/unravelling-the-multisensory-learning-advantage-different-patterns-of-within-and-across-frequency-specific-interactions-drive-uni-and-multisensory-neuroplasticity
#39
JOURNAL ARTICLE
Evangelos Paraskevopoulos, Alexandra Anagnostopoulou, Nikolas Chalas, Maria Karagianni, Panagiotis Bamidis
In the field of learning theory and practice, the superior efficacy of multisensory learning over uni-sensory is well-accepted. However, the underlying neural mechanisms at the macro-level of the human brain remain largely unexplored. This study addresses this gap by providing novel empirical evidence and a theoretical framework for understanding the superiority of multisensory learning. Through a cognitive, behavioral, and electroencephalographic assessment of carefully controlled uni-sensory and multisensory training interventions, our study uncovers a fundamental distinction in their neuroplastic patterns...
March 21, 2024: NeuroImage
https://read.qxmd.com/read/38521211/sex-matters-the-mousex-dw-allen-atlas-for-mice-diffusion-weighted-mr-imaging
#40
JOURNAL ARTICLE
Patricia Martínez-Tazo, Alexandra Santos, Mohamed Kotb Selim, Elena Espinós-Soler, Silvia De Santis
Overcoming sex bias in preclinical research requires not only including animals of both sexes in the experiments, but also developing proper tools to handle such data. Recent work revealed sensitivity of diffusion-weighted MRI to glia morphological changes in response to inflammatory stimuli, opening up exciting possibilities to characterize inflammation in a variety of preclinical models of pathologies, the great majority of them available in mice. However, there are limited resources dedicated to mouse imaging, like those required for the data processing and analysis...
March 21, 2024: NeuroImage
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