[Research Progress in Applying Hyperpolarized DOI
Chao He,

Hualong He,

Xiaofang Yang

и другие.

PubMed, Год журнала: 2024, Номер 55(6), С. 1343 - 1349

Опубликована: Ноя. 20, 2024

By using hyperpolarized 13C labeling technology, the magnetic resonance signals of 13C-labeled metabolic substrates are enhanced, which enables in vivo monitoring their states through spectroscopy. Compared with traditional non-invasive diagnostic technologies, technology exhibits a number strengths, including real-time monitoring, high precision, non-invasiveness, absence radiation, and ability to assess broader range pathways, showing great potential for application treatment glioma, stroke, Alzheimer disease, cerebral injury. Following approval [1-13C]-pyruvate clinical trials by U.S. Food Drug Administration (FDA), there has been growing academic interest this technology. Currently, primary challenge lies creating more probes promoting applications. Herein, we outlined principles examined its current role neurological diagnostics, explored future directions, conducting spectroscopy (MRS) at higher field strengths (such as 7T), designing additional sequences specific MRS, integration other neuro-metabolic methods.

Язык: Английский

Exploring the Frontiers of Neuroimaging: A Review of Recent Advances in Understanding Brain Functioning and Disorders DOI Creative Commons
Chiahui Yen, Chia-Li Lin, Ming‐Chang Chiang

и другие.

Life, Год журнала: 2023, Номер 13(7), С. 1472 - 1472

Опубликована: Июнь 29, 2023

Neuroimaging has revolutionized our understanding of brain function and become an essential tool for researchers studying neurological disorders. Functional magnetic resonance imaging (fMRI) electroencephalography (EEG) are two widely used neuroimaging techniques to review changes in activity. fMRI is a noninvasive technique that uses fields radio waves produce detailed images. An EEG records the brain’s electrical activity through electrodes placed on scalp. This overviews recent developments functional methods, including EEG. Recent advances technology, its application function, impact neuroscience research discussed. Advances technology applications analyzing neural oscillations also highlighted. In addition, advanced courses neuroimaging, such as diffusion tensor (DTI) transcranial stimulation (TES), described, along with their role connectivity, white matter tracts, potential treatments schizophrenia chronic pain. Application. The concludes by examining studies neurodevelopmental disorders autism spectrum disorder (ASD), attention deficit hyperactivity (ADHD), Alzheimer’s disease (AD), Parkinson’s (PD). We described direct current (tDCS) ASD, ADHD, AD, PD. have significantly provided insights into However, further EEG, MRI, TES necessary continue develop new diagnostic therapeutic strategies

Язык: Английский

Процитировано

116

Fundamental interactions in self-organised critical dynamics on higher order networks DOI Creative Commons
Bosiljka Tadić, Roderick Melnik

The European Physical Journal B, Год журнала: 2024, Номер 97(6)

Опубликована: Июнь 1, 2024

Abstract In functionally complex systems, higher order connectivity is often revealed in the underlying geometry of networked units. Furthermore, such systems show signatures self-organised criticality, a specific type non-equilibrium collective behaviour associated with an attractor internal dynamics long-range correlations and scale invariance, which ensures robust functioning as brain. Here, we highlight intertwining features critical plausible mechanism for emergence new properties on larger scale, representing central paradigm physical notion complexity. Considering time-scale structural evolution known separation i.e., external driving, distinguish three classes geometries that can shape them differently. We provide overview current trends study phenomena, synchronisation phase oscillators discrete spin couplings embedded faces simplicial complexes. For representative example induced by structures, present more detailed analysis field-driven reversal hysteresis loops complexes composed triangles. These numerical results suggest two fundamental interactions edge-embedded triangle-embedded must be taken into account theoretical models to describe influence dynamics. Graphical abstract

Язык: Английский

Процитировано

4

The Neurodevelopmental Dynamics of Multilingual Experience During Childhood: A Longitudinal Behavioral, Structural, and Functional MRI Study DOI Creative Commons
Pasquale Anthony Della Rosa,

Gerda Videsott,

Virginia Maria Borsa

и другие.

Brain Sciences, Год журнала: 2025, Номер 15(1), С. 54 - 54

Опубликована: Янв. 9, 2025

A neurobiological framework of bi- or multilingual neurocognitive development must consider the following: (i) longitudinal behavioral and neural measures; (ii) brain developmental constraints across structure function; (iii) global competence in a homogeneous social environment. In this study, we investigated whether yields early changes executive attention control mechanisms their underlying structures frontal-striatal system, such as dorsal anterior cingulate cortex/pre-supplemental area left caudate. We employed neuroimaging functional connectivity methods small group children over two years. found that dACC/preSMA is functionally influenced by but not yet structurally adapted, while caudate, stage, influenced, adapts, specializes due to experience. Furthermore, increases strengthen connections between dACC/preSMA, other cognitive network, right inferior frontal gyrus bilateral parietal lobules. These findings suggest impacts "adaptation" "specialization" during childhood. The results may provide insights guide future research on experience-expectant experience-dependent plasticity explain "interaction" multilingualism neurodevelopment.

Язык: Английский

Процитировано

0

A comprehensive study on navigating neuroethics in Cyberspace DOI

Er. Kritika

AI and Ethics, Год журнала: 2024, Номер unknown

Опубликована: Май 2, 2024

Язык: Английский

Процитировано

2

Large-scale meta-analyses and network analyses of neural substrates underlying human escalated aggression DOI Creative Commons
Li Wang, Ting Li, Ruolei Gu

и другие.

NeuroImage, Год журнала: 2024, Номер 299, С. 120824 - 120824

Опубликована: Авг. 28, 2024

Escalated aggression represents a frequent and severe form of violence, sometimes manifesting as antisocial behavior. Driven by the pressures modern life, escalated is particular concern due to its rising prevalence destructive impact on both individual well-being socioeconomic stability. However, consistent neural circuitry underpinning it remains be definitively identified. Here, we addressed this issue comparing brain alterations between individuals with those without such behavioral manifestations. We first conducted meta-analysis synthesize previous neuroimaging studies functional structural (325 experiments, 2997 foci, 16,529 subjects). Following-up network decoding analyses were provide quantitative characterizations identified regions. Our results revealed that regions constantly involved in localized subcortical (amygdala lateral orbitofrontal cortex) associated emotion processing, default mode (dorsal medial prefrontal cortex middle temporal gyrus) mentalizing, salience (anterior cingulate anterior insula) cognitive control. These findings further supported additional meta-analyses control, all which showed conjunction aggression. Together, these advance understanding risk biomarkers aggressive populations refine theoretical models human

Язык: Английский

Процитировано

0

White matter connectivity linked to novel word learning in children DOI Creative Commons
Clara Ekerdt,

Willeke Martine Menks,

Guillén Fernández

и другие.

Brain Structure and Function, Год журнала: 2024, Номер unknown

Опубликована: Сен. 26, 2024

Язык: Английский

Процитировано

0

Decoding Imagined Speech from EEG Data: A Hybrid Deep Learning Approach to Capturing Spatial and Temporal Features DOI Creative Commons

Yasser F. Alharbi,

Yousef Ajami Alotaibi

Life, Год журнала: 2024, Номер 14(11), С. 1501 - 1501

Опубликована: Ноя. 18, 2024

Neuroimaging is revolutionizing our ability to investigate the brain's structural and functional properties, enabling us visualize brain activity during diverse mental processes actions. One of most widely used neuroimaging techniques electroencephalography (EEG), which records electrical from using electrodes positioned on scalp. EEG signals capture both spatial (brain region) temporal (time-based) data. While a high resolution achievable with EEG, comparatively limited. Consequently, capturing information data recognize activities remains challenging. In this paper, we represent obtained by transforming into sequential topographic maps. We then apply hybrid deep learning models spatiotemporal features images classify imagined English words. The framework utilizes combination three-dimensional convolutional neural networks (3DCNNs) recurrent (RNNs). experimental results reveal effectiveness proposed approach, achieving an average accuracy 77.8% in identifying speech.

Язык: Английский

Процитировано

0

The relationship between brain structure and function during novel grammar learning across development DOI

M.E. Koning,

Nina K Wyman,

Willeke Martine Menks

и другие.

Cerebral Cortex, Год журнала: 2024, Номер 34(12)

Опубликована: Дек. 1, 2024

Abstract In this study, we explored the relationship between developmental differences in gray matter structure and grammar learning ability 159 Dutch-speaking individuals (8 to 25 yr). The data were collected as part of a recent large-scale functional MRI study (Menks WM, Ekerdt C, Lemhöfer K, Kidd E, Fernández G, McQueen JM, Janzen G. Developmental changes brain activation during novel 8–25-year-olds. Dev Cogn Neurosci. 2024;66:101347. https://doi.org/10.1016/j.dcn.2024.101347) which participants implicitly learned Icelandic morphosyntactic rules performed grammaticality judgment task scanner. Behaviorally, Menks et al. (2024) showed that performance increased steadily from 8 15.4 yr, after age had no further effect. We show current age-related was negatively related cortical volume thickness many clusters throughout brain. Hippocampal positively L2 (English) vocabulary knowledge. Furthermore, found performance, proficiency, knowledge maturation within parietal regions, overlapping with reported previously relation learning. propose overlap structural results indicates regions plays an important role second language

Язык: Английский

Процитировано

0

[Research Progress in Applying Hyperpolarized DOI
Chao He,

Hualong He,

Xiaofang Yang

и другие.

PubMed, Год журнала: 2024, Номер 55(6), С. 1343 - 1349

Опубликована: Ноя. 20, 2024

By using hyperpolarized 13C labeling technology, the magnetic resonance signals of 13C-labeled metabolic substrates are enhanced, which enables in vivo monitoring their states through spectroscopy. Compared with traditional non-invasive diagnostic technologies, technology exhibits a number strengths, including real-time monitoring, high precision, non-invasiveness, absence radiation, and ability to assess broader range pathways, showing great potential for application treatment glioma, stroke, Alzheimer disease, cerebral injury. Following approval [1-13C]-pyruvate clinical trials by U.S. Food Drug Administration (FDA), there has been growing academic interest this technology. Currently, primary challenge lies creating more probes promoting applications. Herein, we outlined principles examined its current role neurological diagnostics, explored future directions, conducting spectroscopy (MRS) at higher field strengths (such as 7T), designing additional sequences specific MRS, integration other neuro-metabolic methods.

Язык: Английский

Процитировано

0