A5102723359- Functional Brain Connectivity Studies
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Medical Imaging Techniques and Applications
- Neural dynamics and brain function
- Cancer, Hypoxia, and Metabolism
- MRI in cancer diagnosis
- Neuroscience and Neuropharmacology Research
- Glioma Diagnosis and Treatment
- Advanced Chemical Sensor Technologies
- Alcoholism and Thiamine Deficiency
- Mitochondrial Function and Pathology
- Biochemical Analysis and Sensing Techniques
- Metabolomics and Mass Spectrometry Studies
- Olfactory and Sensory Function Studies
- Pancreatic and Hepatic Oncology Research
- Neurological disorders and treatments
- Trace Elements in Health
- Optical Imaging and Spectroscopy Techniques
- Heavy Metal Exposure and Toxicity
- Retirement, Disability, and Employment
- Photoreceptor and optogenetics research
- Peroxisome Proliferator-Activated Receptors
- Injury Epidemiology and Prevention
- Diabetes Treatment and Management
Champalimaud Foundation
2020-2025
Maine Farmland Trust
2024
Hospital de Santa Maria
1980
Abstract Spontaneous fluctuations in functional magnetic resonance imaging (fMRI) signals correlate across distant brain areas, shaping functionally relevant intrinsic networks. However, the generative mechanism of fMRI signal correlations, and particular link with locally-detected ultra-slow oscillations, are not fully understood. To investigate this link, we record ultrafast ultrahigh field (9.4 Tesla, temporal resolution = 38 milliseconds) from female rats three anesthesia conditions....
MP-PCA denoising has become the method of choice for MRI data since it provides an objective threshold to separate signal components from unwanted thermal noise components. In rodents, in coils is important source that can reduce accuracy activation mapping fMRI. Further confounding this problem, vendor often contains zero-filling and other post-processing steps may violate assumptions. Here, we develop approach denoise assess "spreading" caused by rodent task-based fMRI data. Data was...
Glioblastoma multiforme (GBM), the most aggressive glial brain tumors, can metabolize glucose through glycolysis and mitochondrial oxidation pathways. While specific dependencies on those pathways are increasingly associated with treatment response, detecting such GBM subtypes in vivo remains elusive. Here, we develop a dynamic glucose-enhanced deuterium spectroscopy (DGE 2H-MRS) approach for differentially assessing turnover rates mouse explore their association histologic features of tumor...
Diffusion MRI (dMRI) provides unique insights into the neural tissue milieu by probing interactions between diffusing molecules and microstructure. Most dMRI techniques focus on white matter (WM) tissues, nevertheless, interest in gray characterizations is growing. The Soma Neurite Density (SANDI) methodology harnesses a model incorporating water diffusion spherical objects (assumed to be associated with cell bodies) impermeable "sticks" represent neurites), which potentially enables...
Glioblastomas are aggressive brain tumors with dismal prognosis. One of the main bottlenecks for developing more effective therapies glioblastoma stems from their histologic and molecular heterogeneity, leading to distinct tumor microenvironments disease phenotypes. Effectively characterizing these features would improve clinical management glioblastoma. Glucose flux rates through glycolysis mitochondrial oxidation have been recently shown quantitatively depict proliferation in mouse models...
Glioblastomas are aggressive brain tumors with dismal prognosis. One of the main bottlenecks for developing more effective therapies glioblastoma stems from their histologic and molecular heterogeneity, leading to distinct tumor microenvironments disease phenotypes. Effectively characterizing these features would improve clinical management glioblastoma. Glucose flux rates through glycolysis mitochondrial oxidation have been recently shown quantitatively depict proliferation in mouse models...
<title>Abstract</title> Deciphering the directionality of information flow in cortical circuits is essential for understanding brain dynamics, learning, and neuroplasticity after injury. However, current non-invasive methods cannot distinguish feedforward (FF) from feedback (FB) signals across entire networks, including deep regions. Here, we present a novel approach – UltraFast Layer-Resolved Encoding (uFLARE) that develops ultrahigh spatiotemporal resolution fMRI Layer-based Connective...
Visual perception can operate in two distinct vision modes-static and dynamic-that have been associated with different neural activity regimes the superior colliculus (SC). However, pathway-wide mechanisms remain poorly understood, especially terms of corticotectal tectotectal feedback upon encoding continuity illusion during dynamic mode. Here, we harness functional MRI combined rat brain lesions to investigate whole-pathway interactions We find a push-pull mechanism embodying contralateral...
Detecting neuroplasticity in global brain circuits vivo is key for understanding myriad processes such as memory, learning, and recovery from injury. Functional Magnetic Resonance Imaging (fMRI) instrumental mappings, yet it typically relies on mapping changes spatial extent of activation or via signal amplitude modulations, whose interpretation can be highly ambiguous. Importantly, a central aspect involves modulation neural activity timing properties. We thus hypothesized that this...
Functional magnetic resonance spectroscopy (fMRS) quantifies metabolic variations upon presentation of a stimulus and can therefore provide complementary information compared to activity inferred from functional imaging (fMRI). Improving the temporal resolution fMRS be beneficial clinical applications where detailed on metabolism assist characterization brain function in healthy sick populations as well for neuroscience nature underlying could potentially gained. Furthermore, with higher...
Abstract Task-free functional connectivity in animal models provides an experimental framework to examine phenomena under controlled conditions and allows comparison with invasive or terminal procedures. To date, acquisitions are performed varying protocols analyses that hamper result integration. We introduce StandardRat , a consensus rat MRI acquisition protocol tested across 20 centers. develop this optimized processing parameters, we initially aggregated 65 imaging datasets acquired rats...
Abstract Visual perception can operate in two distinct vision modes - static and dynamic that have been associated with different neural activity regimes the superior colliculus (SC). The mode (low flashing frequencies) is strong SC activation modulated by cortical gain inhibitory intertectal effects, while (high evokes continuity illusion, suppression of activity. However, pathway-wide mechanisms underpinning remain poorly understood, especially terms corticotectal tectotectal feedback....
Detecting premalignant lesions for pancreatic ductal adenocarcinoma, mainly intraepithelial neoplasia (PanIN), is critical early diagnosis and understanding PanIN biology. Based on PanIN's histology, we hypothesized that diffusion tensor imaging (DTI) T2* could detect PanIN.
Abstract Parkinson’s disease (PD) is associated with irreparable damage to dopaminergic neurons in brain areas involved movement. Frequently, a very early symptom of PD involves an impaired sense smell, while other studies suggest broader impairment sensory modalities. Still, the brain-wide mechanisms underlying this phenomenon remain unclear. Here, we harness vivo functional Magnetic Resonance Imaging (fMRI) at 9.4T investigate how olfactory and visual systems are affected α-Synuclein...
Purpose Bowel motion is a significant source of artifacts in mouse abdominal MRI. Fasting and administration hyoscine butylbromide (BUSC) have been proposed for bowel reduction but with inconsistent results limited efficacy assessments. Here, we evaluate these regimes MRI at high field. Methods Thirty‐two adult C57BL/6J mice were imaged on 9.4T scanner FLASH sequence, acquired over 90 min ~19 s temporal resolution. During acquisition, 8 injected low‐dose high‐dose bolus BUSC (0.5 5 mg/kg,...
Abstract Glioblastomas are aggressive brain tumors with dismal prognosis. One of the main bottlenecks for developing more effective therapies glioblastoma stems from their histologic and molecular heterogeneity, leading to distinct tumor microenvironments disease phenotypes. Effectively characterizing these features would improve clinical management glioblastoma. Glucose flux rates through glycolysis mitochondrial oxidation have been recently shown quantitatively depict proliferation in...
Dynamic glucose-enhanced deuterium MRS (DGE 2H-MRS) coupled with Marchenko-Pastur PCA (MPPCA) denoising has been recently applied to immunocompetent mouse glioblastoma subtypes (GL261 and CT2A), demonstrating the ability measure glucose metabolism through glycolysis mitochondrial oxidation non-invasively, its association tumor proliferation. Here, we extend this approach DGE Deuterium Metabolic Imaging (DGE-DMI) tensor MPPCA (tMPPCA) denoising, map fluxes in same models of glioblastoma. Our...
Glioblastomas are aggressive brain tumors with dismal prognosis. One of the main bottlenecks for developing more effective therapies glioblastoma stems from their histologic and molecular heterogeneity, leading to distinct tumor microenvironments disease phenotypes. Effectively characterizing these features would improve clinical management glioblastoma. Glucose flux rates through glycolysis mitochondrial oxidation have been recently shown quantitatively depict proliferation in mouse models...
Glioblastomas are aggressive brain tumors with dismal prognosis. One of the main bottlenecks for developing more effective therapies glioblastoma stems from their histologic and molecular heterogeneity, leading to distinct tumor microenvironments disease phenotypes. Effectively characterizing these features would improve clinical management glioblastoma. Glucose flux rates through glycolysis mitochondrial oxidation have been recently shown quantitatively depict proliferation in mouse models...
Motivation: The involvement of the brain&rsquo;s sensory systems in PD is poorly understood and visual deficits are often a complex underappreciated aspect disease. Goal(s): goal this study to mouse line by using fMRI, C-FOS expression CBF. Approach: Here we report aberrations BOLD-fMRI responses along pathway model validate via protein ASL. Results: Our findings revealed decreased activity areas, confirmed neural origin, ASL excluded any vascular differences that could alter fMRI...
Motivation: To disentangle feedback and feedforward signals in cortical circuits. Goal(s): unravel the intricate neural connections within layers. Approach: We implemented a layer connective field (lCF) model applied it to ultrafast RS data dfMRI data. Results: 1.Intracortical lCF shows two size profiles: with inverse U shape larger sizes at 5 CF superficial deeper 2.In absence of visual input functional connectivity reflects visuotopic organization. 3.lCF estimates obtained from dfMRI(ADC)...
Understanding the dynamics of stability/plasticity balances during adulthood is pivotal for learning, disease, and recovery from injury. However, brain-wide topography sensory remapping remains unknown. Here, using a first-of-its-kind setup delivering patterned visual stimuli in rodent magnetic resonance imaging (MRI) scanner, coupled with biologically inspired computational models, we noninvasively mapped properties—receptive fields (RFs) spatial frequency (SF) tuning curves—that were...