“Eficacia del Neurofeedback en el Trastorno de Estrés Postraumático en población adulta. Una revisión sistemática”. by Adriana Jiménez-Muro Franco, Mª Isabel Abenia Abenia

“…Los cinco estudios encontrados se centran en la regulación de la amplitud alfa con el entrenamiento de Neurofeedback a través del electroencefalograma (EEG) e imagen por resonancia magnética funcional (fMRI). En ellos se obtiene un aumento de amplitud alfa (“rebote”) tras el entrenamiento, asociado con la mejora sintomática, una mayor relajación y una conexión significativa entre amígdala y prefrontal. …”
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Insight into the Molecular Imaging of Alzheimer’s Disease by Abishek Arora, Neeta Bhagat

“…Functional imaging like positron emission tomography (PET), single photon emission computed tomography (SPECT), functional magnetic resonance imaging (fMRI), and proton magnetic resonance spectroscopy provides a means of detecting and characterising the regional changes in brain blood flow, metabolism, and receptor binding sites that are associated with Alzheimer’s disease. …”
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Coordinated representations for naturalistic memory encoding and retrieval in hippocampal neural subspaces by Dasom Kwon, Jungwoo Kim, Seng Bum Michael Yoo, Won Mok Shim

“…However, the neural mechanisms coordinating these processes remain elusive. Using fMRI data acquired during movie viewing and subsequent narrative recall, we examine hippocampal neural subspaces associated with distinct memory processes and characterized their relationships. …”
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Impact of Cordyceps sinensis on coronary computed tomography angiography image quality and renal function in a beagle model of renal impairment by Peiji Song, Peiji Song, Kun Li, Xiaodie Xu, Guifeng Zhang, Zengkun Wang, Linbing Sun, Zekai Zhao, Ting Li, Ximing Wang, Zhangyong Xia, Zhangyong Xia, Zhangyong Xia, Zhangyong Xia

“…ObjectiveThis study aims to investigate the protective effects of Cordyceps sinensis against renal injury induced by low-dose contrast medium (CM) in coronary computed tomography angiography (CCTA) imaging, and to evaluate its efficacy using functional magnetic resonance imaging (fMRI).MethodsTwenty Beagle dogs with induced renal insufficiency were enrolled in the study and randomly assigned to one of four groups (n = 5 per group). …”
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Altered regional brain activity and functional connectivity in relation to blood lead levels by Yi Shi, Linfeng Yan, Yang Yang, Fenfen He, Wenhao Li, Jianbin Zhang, Fang Zhao, Diya Wang, Wen Wang, Zaihua Zhao, Xuefeng Shen

“…Participants underwent rs-fMRI for ReHo, DC, and FC analyses. Brain regions demonstrating significant differences in ReHo and DC were identified as regions of interest for subsequent FC analysis. …”
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Brain function abnormalities and inflammation in HIV-positive men who have sex with men with depressive disorders by Yang Zhang, Yang Zhang, Yihui He, Yihui He, Yuan Fang, Yuan Fang, Miaotian Cai, Guangqiang Sun, Guangqiang Sun, Rui Wang, Rui Wang, Jiaxin Zhen, Jiaxin Zhen, Yulin Zhang, Zhen Li, Zhen Li, Yundong Ma, Yundong Ma, Tong Zhang, Tong Zhang

“…Participants underwent resting-state functional magnetic resonance imaging (rs-fMRI) scans and assessments of peripheral blood. …”
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Network structure influences the strength of learned neural representations by Ari E. Kahn, Karol Szymula, Sophie Loman, Edda B. Haggerty, Nathaniel Nyema, Geoffrey K. Aguirre, Dani S. Bassett

“…Recent evidence suggests that some networks are easier to learn than others, but the neural underpinnings of this effect remain unknown. Here we use fMRI to show that even over short timescales the network structure of a temporal sequence of stimuli determines the fidelity of event representations as well as the dimensionality of the space in which those representations are encoded: when the graph was modular as opposed to lattice-like, BOLD representations in visual areas better predicted trial identity and displayed higher intrinsic dimensionality. …”
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Incremental accumulation of linguistic context in artificial and biological neural networks by Refael Tikochinski, Ariel Goldstein, Yoav Meiri, Uri Hasson, Roi Reichart

“…In this study, we show how the brain, unlike LLMs that process large text windows in parallel, integrates short-term and long-term contextual information through an incremental mechanism. Using fMRI data from 219 participants listening to spoken narratives, we first demonstrate that LLMs predict brain activity effectively only when using short contextual windows of up to a few dozen words. …”
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Anticorrelations between Active Brain Regions: An Agent-Based Model Simulation Study by Fabrizio Parente, Alfredo Colosimo

“…Anticorrelations among brain areas observed in fMRI acquisitions under resting state are not endowed with a well-defined set of characters. …”
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Graph Neural Networks in Brain Connectivity Studies: Methods, Challenges, and Future Directions by Hamed Mohammadi, Waldemar Karwowski

“…This review examines recent studies leveraging GNNs in brain connectivity analysis, focusing on key methodological advancements in multimodal data integration, dynamic connectivity, and interpretability across various imaging modalities, including fMRI, MRI, DTI, PET, and EEG. Findings reveal that GNNs excel in modeling complex, non-linear connectivity patterns and enable the integration of multiple neuroimaging modalities to provide richer insights into both healthy and pathological brain networks. …”
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Impairments in Brain Perfusion, Metabolites, Functional Connectivity, and Cognition in Severe Asymptomatic Carotid Stenosis Patients: An Integrated MRI Study by Tao Wang, Feng Xiao, Guangyao Wu, Jian Fang, Zhenmeng Sun, Hongliang Feng, Junjian Zhang, Haibo Xu

“…By utilizing an integrated MRI including pulsed arterial spin labeling (pASL) MRI, Proton MR Spectroscopy (MRS), and resting-state functional MRI (R-fMRI), we also found that aCAS patients suffered decreased cerebral blood flow (CBF) mainly in the Left Frontal Gyrus and had decreased NAA/Cr ratio in the left hippocampus and decreased connectivity to the posterior cingulate cortex (PCC) in the anterior part of default mode network (DMN).…”
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Neural representation of sensorimotor features in language-motor areas during auditory and visual perception by Yuanyi Zheng, Jianfeng Zhang, Yang Yang, Min Xu

“…Here we show how language-motor areas encode motoric and sensory features of language stimuli during auditory and visual perception, using functional magnetic resonance imaging (fMRI) combined with representational similarity analysis. …”
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Simulating the impact of white matter connectivity on processing time scales using brain network models by Paul Triebkorn, Viktor Jirsa, Peter Ford Dominey

“…To validate our model we demonstrated significant correlation of our predicted time scale ordering with empirical results from the intact/scrambled narrative fMRI task paradigm. This study emphasizes structural connectivity’s role in brain temporal processing hierarchies, providing a framework for future research on structure and neural dynamics across cognitive tasks.…”
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The domain-general and domain-specific role of the semantic neural network in mathematical processing by Mengyi Li, Xinlin Zhou

“…The current study compared different types of inductive reasoning with the functional magnetic resonance imaging (fMRI) technique to investigate the role of the semantic network in mathematical processing and whether the role is domain-general or domain-specific. 32 undergraduate students were recruited to complete tasks involving numerical, geometrical, situational, and verbal inductive reasoning, as well as arithmetical computation. …”
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Neural Network of Predictive Motor Timing in the Context of Gender Differences by Pavel Filip, Jan Lošák, Tomáš Kašpárek, Jiří Vaníček, Martin Bareš

“…However, our knowledge of temporal processing is mainly limited to the networks responsible for comparing or maintaining specific intervals or frequencies. In the presented fMRI study, we sought to characterize the neural nodes engaged specifically in predictive temporal analysis, the estimation of the future position of an object with varying movement parameters, and the contingent neuroanatomical signature of differences in behavioral performance between genders. …”
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Stable and inert manganese complexes for magnetic resonance imaging by Ndiaye, Daouda, Tóth, Éva

“…Finally, examples will be presented to demonstrate the first steps towards the development of redox sensors based on the Mn$^{2+}$/Mn$^{3+}$ switch, detectable in $^{1}$H or in $^{19}$F MRI.…”
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Post-retrieval noradrenergic activation impairs subsequent memory depending on cortico-hippocampal reactivation by Hendrik Heinbockel, Gregor Leicht, Anthony D Wagner, Lars Schwabe

“…In a three-day study, we measured brain activity using fMRI during initial encoding, 24 hr-delayed memory cueing followed by pharmacological elevations of glucocorticoid or noradrenergic activity, and final recall. …”
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Correlation between Traits of Emotion-Based Impulsivity and Intrinsic Default-Mode Network Activity by Jizheng Zhao, Dardo Tomasi, Corinde E. Wiers, Ehsan Shokri-Kojori, Şükrü B. Demiral, Yi Zhang, Nora D. Volkow, Gene-Jack Wang

“…We assessed the amplitude of low-frequency fluctuations (ALFF) of the resting-state functional magnetic resonance imaging (fMRI) signal in 85 healthy volunteers. Trait urgency measures were related to ALFF in the lateral orbitofrontal cortex, dorsolateral prefrontal cortex, ventral and dorsal medial frontal cortex, anterior cingulate, and posterior cingulate cortex/precuneus. …”
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Paving the Way for Speech: Voice-Training-Induced Plasticity in Chronic Aphasia and Apraxia of Speech—Three Single Cases by Monika Jungblut, Walter Huber, Christiane Mais, Ralph Schnitker

“…Before and after therapy, patients underwent the same fMRI procedure as 30 healthy control subjects in our prestudy, which investigated the neural substrates of sung vowel changes in untrained rhythm sequences. …”
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Alterations in cerebral perfusion and corresponding brain functional networks in systemic lupus erythematosus with cognitive impairment by Huiyang Liu, Hu Liu, Bailing Tian, Pingting Yang, Guoguang Fan

“…The CI status of patients was measured using the MoCA, and we classify those with a score of 28 or above as the SLE cognitive normal group (SLE-NC). 3D T1-weighted, ASL and resting-state functional (rs-fMRI) sequences were obtained. Seed-based functional connectivity (FC) was calculated using the cerebral blood flow (CBF) results. …”
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