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Temporal interference stimulation targets deep primate brain NeuroImage (IF 5.7) Pub Date : 2024-03-18 Ruobing Liu, Guanyu Zhu, Zhengping Wu, Yifei Gan, Jianguo Zhang, Jiali Liu, Liang Wang
Temporal interference (TI) stimulation, a novel non-invasive stimulation strategy, has recently been shown to modulate neural activity in deep brain regions of living mice. Yet, it is uncertain if this method is applicable to larger brains and whether the electric field produced under traditional safety currents can penetrate deep regions as observed in mice. Despite recent model-based simulation studies
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Precise Detection of Awareness in Disorders of Consciousness Using Deep Learning Framework NeuroImage (IF 5.7) Pub Date : 2024-03-18 Huan Yang, Hang Wu, Lingcong Kong, Wen Luo, Qiuyou Xie, Jiahui Pan, Wuxiu Quan, Lianting Hu, Dantong Li, Xuehai Wu, Huiying Liang, Pengmin Qing
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Event related potentials (ERP) reveal a robust response to visual symmetry in unattended visual regions. NeuroImage (IF 5.7) Pub Date : 2024-03-16 Yiovanna Derpsch, John Tyson-Carr, Giulia Rampone, Marco Bertamini, Alexis D.J. Makin
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Structural-Functional Brain Network Coupling Predicts Human Cognitive Ability NeuroImage (IF 5.7) Pub Date : 2024-03-16 Johanna L. Popp, Jonas A. Thiele, Joshua Faskowitz, Caio Seguin, Olaf Sporns, Kirsten Hilger
Individual differences in general cognitive ability (GCA) have a biological basis within the structure and function of the human brain. Network neuroscience investigations revealed neural correlates of GCA in structural as well as in functional brain networks. However, whether the relationship between structural and functional networks, the structural-functional brain network coupling (SC-FC coupling)
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Spatial representation of multidimensional information in emotional faces revealed by fMRI NeuroImage (IF 5.7) Pub Date : 2024-03-16 Yiwen Li, Shuaixia Li, Weiyu Hu, Lan Yang, Wenbo Luo
Face perception is a complex process that involves highly specialized procedures and mechanisms. Investigating into face perception can help us better understand how the brain processes fine-grained, multidimensional information. This research aimed to delve deeply into how different dimensions of facial information are represented in specific brain regions or through inter-regional connections via
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Greater up-modulation of intra-individual brain signal variability makes a high-load cognitive task more arduous for older adults NeuroImage (IF 5.7) Pub Date : 2024-03-13 Hong Li, Ying Han, Haijing Niu
The extent to which brain responses are less distinctive across varying cognitive loads in older adults is referred to as neural dedifferentiation. Moment-to-moment brain signal variability, an emerging indicator, reveals not only the adaptability of an individual's brain as an inter-individual trait, but also the allocation of neural resources within an individual due to ever-changing task demands
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The phase of tACS-entrained pre-SMA beta oscillations modulates motor inhibition NeuroImage (IF 5.7) Pub Date : 2024-03-13 Zhou Fang, Alexander T. Sack, Inge Leunissen
Inhibitory control has been linked to beta oscillations in the fronto-basal ganglia network. Here we aim to investigate the functional role of the phase of this oscillatory beta rhythm for successful motor inhibition. We applied 20Hz transcranial alternating current stimulation (tACS) to the pre-supplementary motor area (pre-SMA) while presenting stop signals at 4 (Experiment 1) and 8 (Experiment 2)
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Impact of the day/night cycle on functional connectome in ageing male and female mice NeuroImage (IF 5.7) Pub Date : 2024-03-13 Houéfa Armelle Lokossou, Giovanni Rabuffo, Monique Bernard, Christophe Bernard, Angèle Viola, Teodora-Adriana Perles-Barbacaru
To elucidate how time of day, sex, and age affect functional connectivity (FC) in mice, we aimed to examine whether the mouse functional connectome varied with the day/night cycle and whether it depended on sex and age. We explored C57Bl6/J mice (6♀ and 6♂) at mature age (5 ± 1 months) and middle-age (14 ± 1 months). Each mouse underwent Blood Oxygen-Level-Dependent (BOLD) resting-state functional
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Validation of real-time fMRI neurofeedback procedure for cognitive training using counterbalanced active-sham study design NeuroImage (IF 5.7) Pub Date : 2024-03-12 Vadim Zotev, Jessica R. McQuaid, Cidney R. Robertson-Benta, Anne K. Hittson, Tracey V. Wick, Josef M. Ling, Harm J. van der Horn, Andrew R. Mayer
Investigation of neural mechanisms of real-time functional MRI neurofeedback (rtfMRI-nf) training requires an efficient study control approach. A common rtfMRI-nf study design involves an experimental group, receiving active rtfMRI-nf, and a control group, provided with sham rtfMRI-nf. We report the first study in which rtfMRI-nf procedure is controlled through counterbalancing training runs with active
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Stochastic brain dynamics exhibits differential regional distribution and maturation-related changes NeuroImage (IF 5.7) Pub Date : 2024-03-12 Andrea Scarciglia, Vincenzo Catrambone, Martina Bianco, Claudio Bonanno, Nicola Toschi, Gaetano Valenza
Functional magnetic resonance imaging (fMRI) is a powerful non-invasive method for studying brain function by analyzing blood oxygenation level-dependent (BOLD) signals. These signals arise from intricate interplays of deterministic and stochastic biological elements. Quantifying the stochastic part is challenging due to its reliance on assumptions about the deterministic segment. We present a methodological
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Beyond network connectivity: A classification approach to brain age prediction with resting-state fMRI NeuroImage (IF 5.7) Pub Date : 2024-03-11 Siamak K. Sorooshyari
The brain is a complex, dynamic organ that shows differences in the same subject at various periods. Understanding how brain activity changes across age as a function of the brain networks has been greatly abetted by fMRI. Canonical analysis consists of determining how alterations in connectivity patterns (CPs) of certain regions are affected. An alternative approach is taken here by not considering
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Diffusion tensor imaging metrics as natural markers of multiple sclerosis-induced brain disorders with a low Expanded Disability Status Scale score NeuroImage (IF 5.7) Pub Date : 2024-03-11 Artur Tadeusz Krzyżak, Julia Lasek, Zofia Schneider, Marcin Wnuk, Amira Bryll, Tadeusz Popiela, Agnieszka Słowik
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Tinnitus classification based on resting-state functional connectivity using a convolutional neural network architecture NeuroImage (IF 5.7) Pub Date : 2024-03-10 Qianhui Xu, Lei-Lei Zhou, Chunhua Xing, Xiaomin Xu, Yuan Feng, Han Lv, Fei Zhao, Yu-Chen Chen, Yuexin Cai
Many studies have investigated aberrant functional connectivity (FC) using resting-state functional MRI (rs-fMRI) in subjective tinnitus patients. However, no studies have verified the efficacy of resting-state FC as a diagnostic imaging marker. We established a convolutional neural network (CNN) model based on rs-fMRI FC to distinguish tinnitus patients from healthy controls, providing guidance and
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Opposite changes in morphometric similarity of medial reward and lateral non-reward orbitofrontal cortex circuits in obesity NeuroImage (IF 5.7) Pub Date : 2024-03-10 Debo Dong, Ximei Chen, Wei Li, Xiao Gao, Yulin Wang, Feng Zhou, Simon B. Eickhoff, Hong Chen
Obesity has a profound impact on metabolic health thereby adversely affecting brain structure and function. However, the majority of previous studies used a single structural index to investigate the link between brain structure and body mass index (BMI), which hinders our understanding of structural covariance between regions in obesity. This study aimed to examine the relationship between macroscale
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Spatial correspondence of cortical activity measured with whole head fNIRS and fMRI: Toward clinical use within subject NeuroImage (IF 5.7) Pub Date : 2024-03-08 Anthony Zinos, Julie C. Wagner, Scott A. Beardsley, Wei-Liang Chen, Lisa Conant, Marsha Malloy, Joseph Heffernan, Brendan Quirk, Robert Prost, Mohit Maheshwari, Jeffrey Sugar, Harry T. Whelan
Functional near infrared spectroscopy (fNIRS) and functional magnetic resonance imaging (fMRI) both measure the hemodynamic response, and so both imaging modalities are expected to have a strong correspondence in regions of cortex adjacent to the scalp. To assess whether fNIRS can be used clinically in a manner similar to fMRI, 22 healthy adult participants underwent same-day fMRI and whole-head fNIRS
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Associations of quantitative susceptibility mapping with cortical atrophy and brain connectome in Alzheimer's disease: A multi-parametric study NeuroImage (IF 5.7) Pub Date : 2024-03-05 Haojie Chen, Aocai Yang, Weijie Huang, Lei Du, Bing Liu, Kuan Lv, Jixin Luan, Pianpian Hu, Amir Shmuel, Ni Shu, Guolin Ma
Aberrant susceptibility due to iron level abnormality and brain network disconnections are observed in Alzheimer's disease (AD), with disrupted iron homeostasis hypothesized to be linked to AD pathology and neuronal loss. However, whether associations exist between abnormal quantitative susceptibility mapping (QSM), brain atrophy, and altered brain connectome in AD remains unclear. Based on multi-parametric
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Same allocation proposed by an individual or a group elicits distinct responses: Evidence from event-related potentials and neural oscillation NeuroImage (IF 5.7) Pub Date : 2024-03-05 Peiqi Chen, Siqi Liu, Yinling Zhang, Shaozheng Qin, Xiaoqin Mai
People tend to perceive the same information differently depending on whether it is expressed in an individual or a group frame. It has also been found that the individual (vs. group) frame of expression tends to lead to more charitable giving and greater tolerance of wealth inequality. However, little is known about whether the same resource allocation in social interactions elicits distinct responses
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Altered structural and functional connectivity in Posterior Cortical Atrophy and Dementia with Lewy bodies NeuroImage (IF 5.7) Pub Date : 2024-03-03 Neha Atulkumar Singh, Austin W. Goodrich, Jonathan Graff-Radford, Mary M. Machulda, Irene Sintini, Arenn F. Carlos, Carling G. Robinson, Robert I. Reid, Val J. Lowe, Clifford R. Jack Jr, Ronald C. Petersen, Bradley F. Boeve, Keith A. Josephs, Kejal Kantarci, Jennifer L. Whitwell
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The enhanced connectivity between the frontoparietal, somatomotor network and thalamus as the most significant network changes of chronic low back pain NeuroImage (IF 5.7) Pub Date : 2024-03-03 Kun Zhu, Jianchao Chang, Siya Zhang, Yan Li, Junxun Zuo, Haoyu Ni, Bingyong Xie, Jiyuan Yao, Zhibin Xu, Sicheng Bian, Tingfei Yan, Xianyong Wu, Senlin Chen, Weiming Jin, Ying Wang, Peng Xu, Peiwen Song, Yuanyuan Wu, Cailiang Shen, Jiajia Zhu, Yongqiang Yu, Fulong Dong
The prolonged duration of chronic low back pain (cLBP) inevitably leads to changes in the cognitive, attentional, sensory and emotional processing brain regions. Currently, it remains unclear how these alterations are manifested in the interplay between brain functional and structural networks. This study aimed to predict the Oswestry Disability Index (ODI) in cLBP patients using multimodal brain magnetic
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Connectome alterations following perinatal deafness in the cat NeuroImage (IF 5.7) Pub Date : 2024-03-01 Alessandra Sacco, Stephen G. Gordon, Stephen G. Lomber
Following sensory deprivation, areas and networks in the brain may adapt and reorganize to compensate for the loss of input. These adaptations are manifestations of compensatory crossmodal plasticity, which has been documented in both human and animal models of deafness–including the domestic cat. Although there are abundant examples of structural plasticity in deaf felines from retrograde tracer-based
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In your skin? Somatosensory cortex is purposely recruited to situate but not simulate vicarious touch NeuroImage (IF 5.7) Pub Date : 2024-02-29 Bettina Forster, Sonia Abad-Hernando
Previous studies of vicarious touch suggest that we automatically simulate observed touch experiences in our own body representation including primary and secondary somatosensory cortex (SCx). However, whether these early sensory areas are activated in a reflexive manner and the extent with which such SCx activations represent touch qualities, like texture, remains unclear. We measured event-related
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A joint brain extraction and image quality assessment framework for fetal brain MRI slices NeuroImage (IF 5.7) Pub Date : 2024-02-29 Wenhao Zhang, Xin Zhang, Lingyi Li, Lufan Liao, Fenqiang Zhao, Tao Zhong, Yuchen Pei, Xiangmin Xu, Chaoxiang Yang, He Zhang, Gang Li
Brain extraction and image quality assessment are two fundamental steps in fetal brain magnetic resonance imaging (MRI) 3D reconstruction and quantification. However, the randomness of fetal position and orientation, the variability of fetal brain morphology, maternal organs around the fetus, and the scarcity of data samples, all add excessive noise and impose a great challenge to automated brain extraction
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Flexible multi-step hypothesis testing of human ECoG data using cluster-based permutation tests with GLMEs NeuroImage (IF 5.7) Pub Date : 2024-02-27 Seth D König, Sandra Safo, Kai Miller, Alexander B. Herman, David P. Darrow
Time series analysis is critical for understanding brain signals and their relationship to behavior and cognition. Cluster-based permutation tests (CBPT) are commonly used to analyze a variety of electrophysiological signals including EEG, MEG, ECoG, and sEEG data without assumptions about specific temporal effects. However, two major limitations of CBPT include the inability to directly analyze experiments
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A novel restrainer device for acquistion of brain images in awake rats NeuroImage (IF 5.7) Pub Date : 2024-02-27 Jakov Tiefenbach, Logan Shannon, Mark Lobosky, Sadie Johnson, Hugh H Chan, Nicole Byram, Andre G Machado, Charlie Androjna, Kenneth B Baker
Functional neuroimaging methods like fMRI and PET are vital in neuroscience research, but require that subjects remain still throughout the scan. In animal research, anesthetic agents are typically applied to facilitate the acquisition of high-quality data with minimal motion artifact. However, anesthesia can have profound effects on brain metabolism, selectively altering dynamic neural networks and
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Developing an AI-empowered head-only ultra-high-performance gradient MRI system for high spatiotemporal neuroimaging NeuroImage (IF 5.7) Pub Date : 2024-02-23 Dan Wu, Liyi Kang, Haotian Li, Ruicheng Ba, Zuozhen Cao, Qian Liu, Yingchao Tan, Qinwei Zhang, Bo Li, Jianmin Yuan
Recent advances in neuroscience requires high-resolution MRI to decipher the structural and functional details of the brain. Developing a high-performance gradient system is an ongoing effort in the field to facilitate high spatial and temporal encoding. Here, we proposed a head-only gradient system NeuroFrontier, dedicated for neuroimaging with an ultra-high gradient strength of 650 mT/m and 600 T/m/s
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Identifying individual's distractor suppression using functional connectivity between anatomical large-scale brain regions NeuroImage (IF 5.7) Pub Date : 2024-02-21 Lei Zhuo, Zhenlan Jin, Ke Xie, Simeng Li, Feng Lin, Junjun Zhang, Ling Li
Distractor suppression (DS) is crucial in goal-oriented behaviors, referring to the ability to suppress irrelevant information. Current evidence points to the prefrontal cortex as an origin region of DS, while subcortical, occipital, and temporal regions are also implicated. The present study aimed to examine the contribution of communications between these brain regions to visual DS. To do it, we
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Theta and alpha oscillatory signatures of auditory sensory and cognitive loads during complex listening NeuroImage (IF 5.7) Pub Date : 2024-02-21 Brilliant, Y. Yaar-Soffer, C.S. Herrmann, Y. Henkin, A. Kral
The neuronal signatures of sensory and cognitive load provide access to brain activities related to complex listening situations. Sensory and cognitive loads are typically reflected in measures like response time (RT) and event-related potentials (ERPs) components. It's, however, strenuous to distinguish the underlying brain processes solely from these measures. In this study, along with RT- and ERP-analysis
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Homotopic functional connectivity disruptions in schizophrenia and their associated gene expression NeuroImage (IF 5.7) Pub Date : 2024-02-20 Mengjing Cai, Yuan Ji, Qiyu Zhao, Hui Xue, Zuhao Sun, He Wang, Yijing Zhang, Yayuan Chen, Yao Zhao, Yujie Zhang, Minghuan Lei, Chunyang Wang, Chuanjun Zhuo, Nana Liu, Huaigui Liu, Feng Liu
It has been revealed that abnormal voxel-mirrored homotopic connectivity (VMHC) is present in patients with schizophrenia, yet there are inconsistencies in the relevant findings. Moreover, little is known about their association with brain gene expression profiles. In this study, transcription-neuroimaging association analyses using gene expression data from Allen Human Brain Atlas and case-control
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fMRI, LFP, and anatomical evidence for hierarchical nociceptive routing pathway between somatosensory and insular cortices NeuroImage (IF 5.7) Pub Date : 2024-02-20 Hongyan Zhu, Yan Tao, Siqi Wang, Xutao Zhu, Kunzhang Lin, Ning Zheng, Li Min Chen, Fuqiang Xu, Ruiqi Wu
The directional organization of multiple nociceptive regions, particularly within obscure operculoinsular areas, underlying multidimensional pain processing remains elusive. This study aims to establish the fundamental organization between somatosensory and insular cortices in routing nociceptive information. By employing an integrated multimodal approach of high-field fMRI, intracranial electrophysiology
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The role of parietal beta-band activity in the resolution of visual crowding NeuroImage (IF 5.7) Pub Date : 2024-02-20 Giuseppe Di Dona, Denisa Adina Zamfira, Martina Battista, Luca Battaglini, Daniela Perani, Luca Ronconi
Visual crowding is the difficulty in identifying an object when surrounded by neighbouring flankers, representing a bottleneck for object perception. Crowding arises not only from the activity of visual areas but also from parietal areas and fronto-parietal network activity. Parietal areas would provide the dorsal-to-ventral guidance for object identification and the fronto-parietal network would modulate
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Estimating and approaching the maximum information rate of noninvasive visual brain-computer interface NeuroImage (IF 5.7) Pub Date : 2024-02-19 Nanlin Shi, Yining Miao, Changxing Huang, Xiang Li, Yonghao Song, Xiaogang Chen, Yijun Wang, Xiaorong Gao
An essential priority of visual brain-computer interfaces (BCIs) is to enhance the information transfer rate (ITR) to achieve high-speed communication. Despite notable progress, noninvasive visual BCIs have encountered a plateau in ITRs, leaving it uncertain whether higher ITRs are achievable. In this study, we used information theory to study the characteristics and capacity of the visual-evoked channel
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Neuroimaging of Parkinson's disease by quantitative susceptibility mapping NeuroImage (IF 5.7) Pub Date : 2024-02-18 Xiaojun Guan, Marta Lancione, Scott Ayton, Petr Dusek, Christian Langkammer, Minming Zhang
Parkinson's disease (PD) is a common neurodegenerative disease, and apart from a few rare genetic causes, its pathogenesis remains largely unclear. Recent scientific interest has been captured by the involvement of iron biochemistry and the disruption of iron homeostasis, particularly within the brain regions specifically affected in PD. The advent of Quantitative Susceptibility Mapping (QSM) has enabled
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Neural correlates of semantic-driven syntactic parsing in sentence comprehension NeuroImage (IF 5.7) Pub Date : 2024-02-17 Yun Zhang, Marcus Taft, Jiaman Tang, Le Li
For sentence comprehension, information carried by semantic relations between constituents must be combined with other information to decode the constituent structure of a sentence, due to atypical and noisy situations of language use. Neural correlates of decoding sentence structure by semantic information have remained largely unexplored. In this functional MRI study, we examine the neural basis
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Shape-constrained deformable brain segmentation: Methods and quantitative validation NeuroImage (IF 5.7) Pub Date : 2024-02-16 Lyubomir Zagorchev, Damon E. Hyde, Chen Li, Fabian Wenzel, Nick Fläschner, Arne Ewald, Stefani O’Donoghue, Kelli Hancock, Ruo Xuan Lim, Dennis C. Choi, Eddie Kelly, Shruti Gupta, Jessica Wilden
MRI-guided neuro interventions require rapid, accurate, and reproducible segmentation of anatomical brain structures for identification of targets during surgical procedures and post-surgical evaluation of intervention efficiency. Segmentation algorithms must be validated and cleared for clinical use. This work introduces a methodology for shape-constrained deformable brain segmentation, describes
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Cortical activation and brain network efficiency during dual tasks: An fNIRS study NeuroImage (IF 5.7) Pub Date : 2024-02-16 Qian Ding, Zitong Ou, Shantong Yao, Cheng Wu, Jing Chen, Junhui Shen, Yue Lan, Guangqing Xu
Dual task (DT) is a commonly used paradigm indicative of executive functions. Brain activities during DT walking is usually measured by portable functional near infrared spectroscopy (fNIRS). Previous studies focused on cortical activation in prefrontal cortex and overlooked other brain regions such as sensorimotor cortices. This study is aimed at investigating the modulations of cortical activation
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Partial volume correction in longitudinal tau PET studies: is it really needed? NeuroImage (IF 5.7) Pub Date : 2024-02-15 Alejandro Costoya-Sánchez, Alexis Moscoso, Tomás Sobrino, Álvaro Ruibal, Michel J. Grothe, Michael Schöll, Jesús Silva-Rodríguez, Pablo Aguiar, Alzheimer's Disease Neuroimaging Initiative
[F]flortaucipir (FTP) tau PET quantification is known to be affected by non-specific binding in off-target regions. Although partial volume correction (PVC) techniques partially account for this effect, their inclusion may also introduce noise and variability into the quantification process. While the impact of these effects has been studied in cross-sectional designs, the benefits and drawbacks of
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Integrated sentence-level speech perception evokes strengthened language networks and facilitates early speech development NeuroImage (IF 5.7) Pub Date : 2024-02-15 Qinqin Luo, Leyan Gao, Zhirui Yang, Sihui Chen, Jingwen Yang, Shuo Lu
Natural poetic speeches (i.e., proverbs, nursery rhymes, and commercial ads) with strong prosodic regularities are easily memorized by children and the harmonious acoustic patterns are suggested to facilitate their integrated sentence processing. Do children have specific neural pathways for perceiving such poetic utterances, and does their speech development benefit from it? We recorded the task-induced
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Inhibitory control in WM gate-opening: Insights from alpha desynchronization and norepinephrine activity under atDCS stimulation NeuroImage (IF 5.7) Pub Date : 2024-02-14 Shijing Yu, Anyla Konjusha, Tjalf Ziemssen, Christian Beste
Our everyday activities require the maintenance and continuous updating of information in working memory (WM). To control this dynamic, WM gating mechanisms have been suggested to be in place, but the neurophysiological mechanisms behind these processes are far from being understood. This is especially the case when it comes to the role of oscillatory neural activity. In the current study we combined
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Exploring timescale-specific functional brain networks and their associations with aging and cognitive performance in a healthy cohort without dementia NeuroImage (IF 5.7) Pub Date : 2024-02-13 Wen-Xiang Tsai, Shih-Jen Tsai, Ching-Po Lin, Norden E. Huang, Albert C. Yang
Functional brain networks (FBNs) coordinate brain functions and are studied in fMRI using blood-oxygen-level-dependent (BOLD) signal correlations. Previous research links FBN changes to aging and cognitive decline, but various physiological factors influnce BOLD signals. Few studies have investigated the intrinsic components of the BOLD signal in different timescales using signal decomposition. This
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Brain templates for Chinese babies from newborn to three months of age NeuroImage (IF 5.7) Pub Date : 2024-02-10 Xiujuan Geng, Peggy HY Chan, Hugh Simon Lam, Winnie CW Chu, Patrick CM Wong
The infant brain develops rapidly and this area of research has great clinical implications. Neurodevelopmental disorders such as autism and developmental delay have their origins, potentially, in abnormal early brain maturation. Searching for potential early neural markers requires knowledge about infant brain development and anatomy. One of the most common methods of characterizing brain features
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Experiential grounding of abstract concepts: Processing of abstract mental state concepts engages brain regions involved in mentalizing, automatic speech, and lip movements NeuroImage (IF 5.7) Pub Date : 2024-02-10 Natalie M. Trumpp, Martin Ulrich, Markus Kiefer
Abstract concepts like mental state concepts lack a physical referent, which can be directly perceived. Classical theories therefore claim that abstract concepts require amodal representations detached from experiential brain systems. However, grounded cognition approaches suggest an involvement of modal experiential brain regions in the processing of abstract concepts. In the present functional magnetic
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Comparison with others influences encoding and recognition of their faces: Behavioural and ERP evidence NeuroImage (IF 5.7) Pub Date : 2024-02-09 Huiyan Lin, Jiafeng Liang
In daily life, faces are often memorized within contexts involving interpersonal interactions. However, little is known about whether interpersonal interaction-related contexts influence face memory. The present study aimed to understand this question by investigating how social comparison-related context affects face encoding and recognition. To address this issue, 40 participants were informed that
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Neurovascular coupling in eye-open-eye-close task and resting state: Spectral correspondence between concurrent EEG and fMRI NeuroImage (IF 5.7) Pub Date : 2024-02-09 Yi-Chia Kung, Chia-Wei Li, Ai-Ling Hsu, Chi-Yun Liu, Changwei W. Wu, Wei-Chou Chang, Ching-Po Lin
We explored the macro-scale neurovascular coupling via the spectral correspondence of concurrent EEG-fMRI signals in a resting-state condition and a eye-open-eye-close (EOEC) task. By decomposing time-frequency maps for both signals, we revealed the EEG-fMRI spectral coupling through the temporal correlations at different frequency bands in the resting state, as compared with those in the EOEC task
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Whole-brain structural connectome asymmetry in autism NeuroImage (IF 5.7) Pub Date : 2024-02-08 Seulki Yoo, Yurim Jang, Seok-Jun Hong, Hyunjin Park, Sofie L. Valk, Boris C. Bernhardt, Bo-yong Park
Autism spectrum disorder is a common neurodevelopmental condition that manifests as a disruption in sensory and social skills. Although it has been shown that the brain morphology of individuals with autism is asymmetric, how this differentially affects the structural connectome organization of each hemisphere remains under-investigated. We studied whole-brain structural connectivity-based brain asymmetry
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Effects of sleep quality on diurnal variation of brain volume in older adults: A retrospective cross-sectional study NeuroImage (IF 5.7) Pub Date : 2024-02-08 Jun Sung Kim, Ji Won Han, Dae Jong Oh, Seung Wan Suh, Min Jeong Kwon, Jieun Park, Sungman Jo, Jae Hyoung Kim, Ki Woong Kim
Brain volume is influenced by several factors that can change throughout the day. In addition, most of these factors are influenced by sleep quality. This study investigated diurnal variation in brain volume and its relation to overnight sleep quality. We enrolled 1,003 healthy Koreans without any psychiatric disorders aged 60 years or older. We assessed sleep quality and average wake time using the
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Reduced default mode network effective connectivity in healthy aging is modulated by years of education NeuroImage (IF 5.7) Pub Date : 2024-02-07 Tibor Stöffel, Lídia Vaqué-Alcázar, David Bartrés-Faz, Maribel Peró-Cebollero, Cristina Cañete-Massé, Joan Guàrdia-Olmos
Aging is a major risk factor for neurodegenerative diseases like dementia and Alzheimer's disease. Even in non-pathological aging, decline in cognitive functioning is observed in the majority of the elderly population, necessitating the importance of studying the processes involved in healthy aging in order to identify brain biomarkers that promote the conservation of functioning. The default mode
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Developing a novel dual-injection FDG-PET imaging methodology to study the functional neuroanatomy of gait NeuroImage (IF 5.7) Pub Date : 2024-02-06 Hilmar P. Sigurdsson, Lisa Alcock, Michael Firbank, Ross Wilson, Philip Brown, Ross Maxwell, Elizabeth Bennett, Nicola Pavese, David J. Brooks, Lynn Rochester
Gait is an excellent indicator of physical, emotional, and mental health. Previous studies have shown that gait impairments in ageing are common, but the neural basis of these impairments are unclear. Existing methodologies are suboptimal and novel paradigms capable of capturing neural activation related to real walking are needed. In this study, we used a hybrid PET/MR system and measured glucose
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A 3D convolutional neural network to classify subjects as Alzheimer's disease, frontotemporal dementia or healthy controls using brain 18F-FDG PET NeuroImage (IF 5.7) Pub Date : 2024-02-03 Antoine Rogeau, Florent Hives, Cécile Bordier, Hélène Lahousse, Vincent Roca, Thibaud Lebouvier, Florence Pasquier, Damien Huglo, Franck Semah, Renaud Lopes
With the arrival of disease-modifying drugs, neurodegenerative diseases will require an accurate diagnosis for optimal treatment. Convolutional neural networks are powerful deep learning techniques that can provide great help to physicians in image analysis. The purpose of this study is to introduce and validate a 3D neural network for classification of Alzheimer's disease (AD), frontotemporal dementia
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Harmonic field extension for QSM with reduced spatial coverage using physics-informed generative adversarial network NeuroImage (IF 5.7) Pub Date : 2024-02-03 Siyun Jung, Soohyun Jeon, Sung-Min Gho, Ho-Joon Lee, Kyu-Jin Jung, Dong-Hyun Kim
Quantitative Susceptibility Mapping (QSM) is frequently employed in investigating brain iron related to brain development and diseases within deep gray matter (DGM). Nonetheless, the acquisition of whole-brain QSM data is time-intensive. An alternative approach, focusing the QSM specifically on areas of interest such as the DGM by reducing the field-of-view (FOV), can significantly decrease scan times
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Mothers and fathers show different neural synchrony with their children during shared experiences NeuroImage (IF 5.7) Pub Date : 2024-02-01 Qi Liu, Siyu Zhu, Xinqi Zhou, Fang Liu, Benjamin Becker, Keith M. Kendrick, Weihua Zhao
Parent-child shared experiences has an important influence on social development in children although contributions of mothers and fathers may differ. Neural synchronicity occurs between mothers and fathers and their children during social interactions but it is unclear whether they differ in this respect. We used data from simultaneous fNIRS hyperscanning in mothers (n = 33) and fathers (n = 29) and
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Neurophysiological processes reflecting the effects of the immediate past during the dynamic management of actions NeuroImage (IF 5.7) Pub Date : 2024-01-26 Tina Rawish, Paul Wendiggensen, Julia Friedrich, Christian Frings, Alexander Münchau, Christian Beste
In recent years, there has been many efforts to establish a comprehensive theoretical framework explaining the working mechanisms involved in perception-action integration. This framework stresses the importance of the immediate past on mechanisms supporting perception-action integration. The present study investigates the neurophysiological principles of dynamic perception-action bindings, particularly
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Individualized, connectome-based, non-invasive stimulation of OCD deep-brain targets: A proof-of-concept NeuroImage (IF 5.7) Pub Date : 2024-01-28 Samantha Baldi, Teresa Schuhmann, Liesbet Goossens, Koen R.J. Schruers
Treatment-resistant obsessive-compulsive disorder (OCD) generally improves with deep-brain stimulation (DBS), thought to modulate neural activity at both the implantation site and in connected brain regions. However, its invasive nature, side-effects, and lack of customization, make non-invasive treatments preferable. Harnessing the established remote effects of cortical transcranial magnetic stimulation
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Spatial-temporal convolutional attention for discovering and characterizing functional brain networks in task fMRI NeuroImage (IF 5.7) Pub Date : 2024-01-26 Yiheng Liu, Enjie Ge, Zili Kang, Ning Qiang, Tianming Liu, Bao Ge
Functional brain networks (FBNs) are spatial patterns of brain function that play a critical role in understanding human brain function. There are many proposed methods for mapping the spatial patterns of brain function, however they oversimplify the underlying assumptions of brain function and have various limitations such as linearity and independence. Additionally, current methods fail to account
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Modeling default mode network patterns via a universal spatio-temporal brain attention skip network NeuroImage (IF 5.7) Pub Date : 2024-01-21 Hang Yuan, Xiang Li, Benzheng Wei
Designing a comprehensive four-dimensional resting-state functional magnetic resonance imaging (4D Rs-fMRI) based default mode network (DMN) modeling methodology to reveal the spatio-temporal patterns of individual DMN, is crucial for understanding the cognitive mechanisms of the brain and the pathogenesis of psychiatric disorders. However, there are still two limitations of existing approaches for
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Whole-brain mapping of increased manganese levels in welders and its association with exposure and motor function NeuroImage (IF 5.7) Pub Date : 2024-01-24 Humberto Monsivais, Chien-Lin Yeh, Alex Edmondson, Roslyn Harold, Sandy Snyder, Ellen M. Wells, Tobias Schmidt-Wilcke, Dan Foti, S. Elizabeth Zauber, Ulrike Dydak
Although manganese (Mn) is a trace metal essential for humans, chronic exposure to Mn can cause accumulation of this metal ion in the brain leading to an increased risk of neurological and neurobehavioral health effects. This is a concern for welders exposed to Mn through welding fumes. While brain Mn accumulation in occupational settings has mostly been reported in the basal ganglia, several imaging
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Higher intracranial arterial pulsatility is associated with presumed imaging markers of the glymphatic system: An explorative study NeuroImage (IF 5.7) Pub Date : 2024-01-24 Linyun Xie, Yao Zhang, Hui Hong, Shan Xu, Lei Cui, Shuyue Wang, Jixuan Li, Lingyun Liu, Miao Lin, Xiao Luo, Kaicheng Li, Qingze Zeng, Minming Zhang, Ruiting Zhang, Peiyu Huang
Background Arterial pulsation has been suggested as a key driver of paravascular cerebrospinal fluid flow, which is the foundation of glymphatic clearance. However, whether intracranial arterial pulsatility is associated with glymphatic markers in humans has not yet been studied. Methods Seventy-three community participants were enrolled in the study. 4D phase-contrast magnetic resonance imaging (MRI)
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Neurometabolic profile of the amygdala in smokers assessed with 1H-magnetic resonance spectroscopy NeuroImage (IF 5.7) Pub Date : 2024-01-24 Colette A Steinegger, Niklaus Zoelch, Andreas Hock, Anke Henning, Etna JE Engeli, Christopher R Pryce, Erich Seifritz, Marcus Herdener, Lea M Hulka
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A unified filtering method for estimating asymmetric orientation distribution functions NeuroImage (IF 5.7) Pub Date : 2024-01-18 Charles Poirier, Maxime Descoteaux
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Mechanisms underlying category learning in the human ventral occipito-temporal cortex NeuroImage (IF 5.7) Pub Date : 2024-01-18 Xiangqi Luo, Mingyang Li, Jiahong Zeng, Zhiyun Dai, Zhenjiang Cui, Minhong Zhu, Mengxin Tian, Jiahao Wu, Zaizhu Han
The human ventral occipito-temporal cortex (VOTC) has evolved into specialized regions that process specific categories, such as words, tools, and animals. The formation of these areas is driven by bottom-up visual and top-down nonvisual experiences. However, the specific mechanisms through which top-down nonvisual experiences modulate category-specific regions in the VOTC are still unknown. To address
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Diffusion tensor imaging in pediatric patients with dystonia NeuroImage (IF 5.7) Pub Date : 2024-01-18 Ricardo Loução, Julia Burkhardt, Jochen Wirths, Christoph Kabbasch, Till A. Dembek, Petra Heiden, Sebahattin Cirak, Bassam Al-Fatly, Harald Treuer, Veerle Visser-Vandewalle, Mauritius Hoevels, Anne Koy
Background: Childhood-onset dystonia is often progressive and severely impairs a child´s life. The pathophysiology is very heterogeneous and treatment responses vary in patients with dystonia. Factors influencing treatment effects remain to be elucidated. We hypothesize that differences in brain connectivity and fiber coherence contribute to the heterogeneity in treatment response among pediatric patients