Resting state BOLD-perfusion coupling patterns using multiband multi-echo pseudo-continuous arterial spin label imaging by Alexander D. Cohen, Stefano Moia, G. Bruce Pike, César Caballero-Gaudes, Yang Wang

“…Moreover, the acquisition of BOLD data allows the assessment of resting state (RS) fMRI metrics. In this study a multiband, multi-echo (MBME) pseudo-continuous ASL (pCASL) sequence was used to collect simultaneous BOLD and ASL data in a group of healthy control subjects, and the patterns of BOLD-CBF coupling were evaluated. …”
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Common and distinct neural underpinnings of the association between childhood maltreatment and depression and aggressive behavior by Yuan Li, Ting Zhang, Xin Hou, Xiaoyi Chen, Yu Mao

“…First, we employed Network-Based Statistics (NBS) on resting-state functional magnetic resonance imaging (fMRI) data to identify functional connectivity (FC) patterns associated with depression and aggression. …”
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Dynamic Neural Network States During Social and Non-Social Cueing in Virtual Reality Working Memory Tasks: A Leading Eigenvector Dynamics Analysis Approach by Pinar Ozel

“…LEiDA, conventionally utilized with fMRI, was creatively employed in EEG to detect swift alterations in brain network states, offering insights into cognitive processing dynamics. …”
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A Perfusion MRI Study of Emotional Valence and Arousal in Parkinson’s Disease by Sunsern Limsoontarakul, Meghan C. Campbell, Kevin J. Black

“…Brain regions subserving emotion have mostly been studied using functional magnetic resonance imaging (fMRI) during emotion provocation procedures in healthy participants. …”
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How Can Brain Learn to Control a Nonholonomic System? by Noriyasu Homma, Shinpei Kato, Takakuni Goto, Ivo Bukovsky, Ryuta Kawashima, Makoto Yoshizawa

“…Theoretically, it is well known that some nonlinear systems cannot be stabilized asymptotically by any linear controllers and we have reported by an f-MRI experiment that different types of information may be involved in linear and nonlinear control tasks, respectively, from a brain function mapping point of view. …”
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Plasticity of the Primary Motor Cortex in Patients with Primary Brain Tumors by Nathan W. Kong, William R. Gibb, Suvarna Badhe, Benjamin P. Liu, Matthew C. Tate

“…In a retrospective case series of 13 patients, we utilize a novel paradigm that analyzes serial fMRI scans in patients harboring intrinsic brain tumors that vary in location and growth kinetics to better understand the mechanisms underlying these two modes of plasticity in the human primary motor cortex. …”
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肠易激综合征患者静息状态下大脑右侧海马的功能连接

“…【目的】 利用功能磁共振成像技术（ｆＭＲＩ），探索肠易激综合征患者（ＩＢＳ）静息状态下大脑右侧海马的功能连接与正常对照组的区别，了解大脑右侧海马及其功能相关区域在ＩＢＳ患者的病理机制中的作用。…”
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Regional Alteration within the Cerebellum and the Reorganization of the Cerebrocerebellar System following Poststroke Aphasia by Xiaotong Zhang, Zhaocong Chen, Na Li, Jingfeng Liang, Yan Zou, Huixiang Wu, Zhuang Kang, Zulin Dou, Weihong Qiu

“…To solve this problem, in the present study, we investigated regional alterations of the cerebellum as well as the functional reorganization of the cerebrocerebellar circuit by combining structural and resting-state functional magnetic resonance imaging (fMRI) techniques. Twenty patients diagnosed with aphasia following left-hemispheric stroke and 20 age-matched healthy controls (HCs) were recruited in this study. …”
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Spatial frequency preferences of representations of indoor and natural scene categories in scene-selective regions under different conditions of contrast by Yuanyuan Zhang, Qiaomu Miao, Baolin Liu

“…However, previous studies mainly focused on the neural activations or the neural patterns in a single SF band.MethodsTo investigate the extent to which the information of a single SF is used in scene category representations, we not only decoded the scene categories in each SF, but also used the neural patterns to LSF or HSF to decode the patterns to non-filtered (NF) scenes based on fMRI data using multivoxel pattern analysis (MVPA). …”
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Global trends in migraine and anxiety over the past 10 years: a bibliometric analysis by Biao Huang, Weining Chen, Chunmei Peng, Yu Wang, Xiuli Shen, Qi Zhang, Liu Yang, Jun Wu

“…Sex differences, functional magnetic resonance imaging (fMRI), activation, allodynia, and preventive treatment are predicted to be hotspots in the future.…”
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A Preliminary Investigation into the Neural Correlates of Knee Loading during a Change of Direction Task in Individuals after Anterior Cruciate Ligament Reconstruction by Adam Culiver, Dustin Grooms, Nathan Edwards, Laura Schmitt, James Oñate

“… # Methods Eight participants, 39.3 ± 37.1 months after primary, left ACLR performed repetitive active knee flexion and extension of their involved knee during fMRI scanning. Participants separately performed 3D motion capture analysis of a 180° change of direction task under full vision (FV) and stroboscopic vision (SV) conditions. …”
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Study of the neuronal response to olfactory stimuli in control and LPS-stimulated mice by functional magnetic resonance imaging by A. E. Akulov, A. V. Romashchenko, O. B. Shevelev, D. V. Petrovski, A. A. Savelov, M. P. Moshkin

“…This work considers use of fMRI in the study of the influence of innate immunity activation on neuronal response during perception and differentiation of socially significant (2.5-dimethylpyrazine, 2-heptanon) and socially insignificant (1-hexanol and isoprene) olfactory stimuli by CD-1 mice. …”
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NF-GAT: A Node Feature-Based Graph Attention Network for ASD Classification by Shuaiqi Liu, Beibei Liang, Siqi Wang, Bing Li, Lidong Pan, Shui-Hua Wang

“…Firstly, node features are modelled based on functional magnetic resonance imaging (fMRI) data, with each subject modelled as a graph. …”
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Analysis of Multidimensional Clinical and Physiological Data with Synolitical Graph Neural Networks by Mikhail Krivonosov, Tatiana Nazarenko, Vadim Ushakov, Daniil Vlasenko, Denis Zakharov, Shangbin Chen, Oleg Blyus, Alexey Zaikin

“…The paper demonstrates the effectiveness of this approach through two classification tasks: synthetic and fMRI data from cognitive tasks. Convolutional Graph Neural Network architecture is then applied, and the results are compared with established machine learning algorithms. …”
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Age group classification based on optical measurement of brain pulsation using machine learning by Martti Ilvesmäki, Hany Ferdinando, Kai Noponen, Tapio Seppänen, Vesa Korhonen, Vesa Kiviniemi, Teemu Myllylä

“…The subjects, measured during functional magnetic resonance imaging (fMRI) at Oulu University Hospital, were divided into young (age ≤ 32) and elderly (age ≥ 57) groups. …”
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Functional Connectivity Analysis of NIRS Data under Rubber Hand Illusion to Find a Biomarker of Sense of Ownership by Naoki Arizono, Yuji Ohmura, Shiro Yano, Toshiyuki Kondo

“…Although studies with neuroimaging technique, such as fMRI, revealed that several brain areas are associated with the sense of ownership, near-infrared spectroscopy (NIRS) has not yet been utilized. …”
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A data-driven latent variable approach to validating the research domain criteria framework by S. K. L. Quah, B. Jo, C. Geniesse, L. Q. Uddin, J. A. Mumford, D. M. Barch, D. A. Fair, I. H. Gotlib, R. A. Poldrack, M. Saggar

“…We examine 84 whole-brain task-based fMRI (tfMRI) activation maps from 19 studies with 6192 participants. …”
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Self-referential belief shares common neural correlates with general belief by Emily Bruns, Immanuel Scholz, Georgia Koppe, Peter Kirsch, Martin Fungisai Gerchen

“…The neural correlates of self-referential belief are yet to be investigated. In this fMRI study, we presented 120 statements with trait adjectives to N = 27 healthy participants, who subsequently judged whether they believed these trait adjectives applied to themselves, a close person, or a public person. …”
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Autobiographical Memory Disturbances in Depression: A Novel Therapeutic Target? by Cristiano A. Köhler, André F. Carvalho, Gilberto S. Alves, Roger S. McIntyre, Thomas N. Hyphantis, Martín Cammarota

“…We review strategies for this clinical domain, including memory specificity training, method-of-loci, memory rescripting, and real-time fMRI neurofeedback training of amygdala activity in depression. …”
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Multimodal Autism Spectrum Disorder Method Using GCN With Dual Transformers by Tianming Song, Zhe Ren, Jian Zhang, Yawei Qu, Yingying Cui, Zhengda Liang

“…The first Transformer is dedicated to extracting intricate temporal features from fMRI data, which are crucial for understanding brain activity over time. …”
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