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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Aberrant Resting-State Functional Connectivity of the Dorsal Attention Network in Tinnitus by Haimeng Hu, Yining Lyu, Shihong Li, Zheng Yuan, Chuntao Ye, Zhao Han, Guangwu Lin

“…Previous functional magnetic resonance imaging (fMRI) analyses have shown that the dorsal attention network (DAN) is involved in the pathophysiological changes of tinnitus, but few relevant studies have been conducted, and the conclusions to date are not uniform. …”
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QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity by Nan Xu, Behnaz Yousefi, Nmachi Anumba, Theodore J. LaGrow, Xiaodi Zhang, Shella Keilholz

“…To address these challenges, we present QPPLab, an open-source MATLAB-based toolbox for detecting, analyzing, and visualizing QPPs from fMRI time series. QPPLab integrates correlation-based iterative algorithms, supports customizable parameter settings, and features automated workflows to simplify analysis. …”
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Increased BOLD Variability in the Parietal Cortex and Enhanced Parieto-Occipital Connectivity during Tactile Perception in Congenitally Blind Individuals by Andrea Leo, Giulio Bernardi, Giacomo Handjaras, Daniela Bonino, Emiliano Ricciardi, Pietro Pietrini

“…To verify this hypothesis, we compared fMRI-measured BOLD signal temporal variability, an index of efficiency in functional information integration, in congenitally blind and sighted individuals during tactile spatial discrimination and motion perception tasks. …”
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Modern Imaging Methods in the Diagnosis of Neurodegenerative Diseases by Paulina Dorota Pietrukaniec, Bartosz Omasta, Katarzyna Kamińska-Omasta, Olga Krupa, Daria Rybak, Kuba Borys Romańczuk, Magdalena Agata Czerska, Szymon Przemysław Stolarczyk, Zofia Martyna Wójcik, Kinga Furtak

“…Advanced brain imaging techniques, such as magnetic resonance imaging (MRI), positron emission tomography (PET), single photon emission tomography (SPECT) and functional magnetic resonance imaging (fMRI), play a key role in the diagnosis and monitoring of neurodegenerative diseases. …”
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Reduced connection strength leads to enhancement of working memory capacity in cognitive training by Guiyang Lv, Tianyong Xu, Jinhang Li, Ping Zhu, Feiyan Chen, Dongping Yang, Guoguang He

“…Previous research has confirmed that abacus-based mental calculation (AMC) training can enhance the WMC of subjects and suggested its possible association with changes in functional connectivity. With fMRI data, we construct whole brain resting state connectivity of subjects who underwent long-term AMC training and other subjects from a control group. …”
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Time Course of Brain Activity Changes Related to Number (Quantity) Processing Triggered by Digits Versus Number Words: An Event-Related Potential (ERP) Study by Peter Walla, Philipp Klimovic

“…This may be because most studies have used functional magnetic resonance imaging (fMRI), which is known to have limited temporal resolution. …”
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Causal Links Between Brain Functional Networks and Endometriosis: A Large-Scale Genetic-Driven Observational Study by Feng S, Wang Y, Liu S, Zhang Y, He L

“…Conversely, endometriosis also can influence brain connectivity, potentially contributing to cognitive and emotional symptoms.Keywords: endometriosis, brain functional networks, resting-state fMRI, Mendelian randomization…”
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Functional Connectivity Changes in Multiple-Frequency Bands in Acute Basal Ganglia Ischemic Stroke Patients: A Machine Learning Approach by Jie Li, Lulu Cheng, Shijian Chen, Jian Zhang, Dongqiang Liu, Zhijian Liang, Huayun Li

“…Several functional magnetic resonance imaging (fMRI) studies have investigated the resting-state functional connectivity (rs-FC) changes in the primary motor cortex (M1) in patients with acute basal ganglia ischemic stroke (BGIS). …”
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Identification of Alzheimer’s Disease Progression Stages Using Topological Measures of Resting-State Functional Connectivity Networks: A Comparative Study by Zhanxiong Wu, Jinhui Wu, Xumin Chen, Xun Li, Jian Shen, Hui Hong

“…Resting-state functional magnetic resonance imaging (rs-fMRI) has been widely employed to examine brain functional connectivity (FC) alterations in various neurological disorders. …”
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Repetitive Transcranial Magnetic Stimulation of Dorsolateral Prefrontal Cortex Affects Performance of the Wisconsin Card Sorting Task during Provision of Feedback by Ji Hyun Ko, Oury Monchi, Alain Ptito, Michael Petrides, Antonio P. Strafella

“…More recently, we showed using event-related fMRI that the dorsolateral prefrontal cortex (DL-PFC) significantly increased activity during feedback but not matching periods of the WCST, consistent with its proposed role in the monitoring of information in working memory. …”
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Decoding HIV-associated neurocognitive disorders: a new perspective from multimodal connectomics by Zhongkai Zhou, Wei Wang, Hui Li, Ying Shi, Lingling Zhao, Yibo Lu, Xingchen Wei, Hongjun Li

“…Using multimodal neuroimaging techniques such as diffusion tensor imaging (DTI), structural magnetic resonance imaging (sMRI), and resting-state functional magnetic resonance imaging (rs-fMRI), researchers can detail the connectome network changes in the brains of PLWH. …”
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Temporal–Spatial Acupuncture Effects on Poststroke Sensorimotor Cortex via Yanglingquan (GB34) by Ruoyi Liu, Yue Wang, Myadagbadam Boldbayar, Yuanyuan Li, Chen Chen, Xin Yu, Tianjiao Xu, Muzhao Zhang, Yihuai Zou, Hua Zhang

“…To explore motor cortex pathology and acupuncture’s immediate spatiotemporal effects on poststroke motor pathway impairment, 63 patients and 42 healthy subjects underwent three functional magnetic resonance imaging (fMRI) scans: resting-state, passive finger movement, and acupuncture at Yanglingquan points. …”
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Tripartite organization of brain state dynamics underlying spoken narrative comprehension by Lanfang Liu, Jiahao Jiang, Hehui Li, Guosheng Ding

“…Applying Hidden Markov Modeling to fMRI data obtained during spoken narrative comprehension, we reveal that the whole brain networks predominantly oscillate within a tripartite latent state space. …”
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