Publications by authors named "Andrew Maudsley"

Whether brain temperature noninvasively extracted by magnetic resonance imaging has a role in identifying brain changes in the later phases of mild to moderate traumatic brain injury (TBI) is not known. This prospective study aimed to evaluate if TBI patients in subacute and chronic phases had altered brain temperature measured by whole-brain magnetic resonance spectroscopic imaging (WB-MRSI) and if the measurable brain temperature had any relationship with cognitive function scores. WB-MRSI was performed on eight TBI patients and fifteen age- and sex-matched control subjects.

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  • Contrast-enhanced MRI is widely used for diagnosing brain tumors but has low specificity for identifying tumor tissue; this study aims to enhance detection through MR spectroscopic imaging (MRSI) and amino acid PET.
  • In a trial involving 30 patients suspected of having glioma, a variety of imaging techniques were performed, and their results were compared against tissue samples taken during stereotactic biopsies for neuropathological evaluation.
  • F-FET PET demonstrated the highest accuracy for identifying gliomas, while MRSI showed decent but lesser accuracy; combining both methods did not significantly improve diagnosis, indicating that F-FET PET should complement MRI in glioma detection.
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  • Progressive supranuclear palsy (PSP) is a rare type of Parkinson's syndrome that affects eye movement, balance, and cognitive function, exhibiting specific brain atrophy patterns that differ from typical Parkinson's disease (PD).
  • This study aimed to compare the metabolic profile of PSP patients with healthy controls and PD patients using advanced whole-brain magnetic resonance spectroscopic imaging (wbMRSI).
  • Results showed a significant decrease in N-acetyl-aspartate (NAA) levels across all brain lobes in PSP patients, indicating more neuronal degeneration and cerebral atrophy compared to PD, but further research is necessary to validate these findings in clinical settings.
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  • Perinatally acquired HIV (PHIV) is linked to brain abnormalities and cognitive deficits, even with antiretroviral therapy, but research using proton magnetic resonance spectroscopy (MRS) on brain metabolite levels is limited and often contradictory.
  • This study utilizes a whole-brain proton magnetic resonance spectroscopy imaging (MRSI) method to compare metabolite levels in 28 young adults with PHIV to a control group of the same size, focusing on total N-acetylaspartate, choline, and creatine levels.
  • Results show significant metabolic disturbances, including increased creatine and choline levels and decreased N-acetylaspartate, indicating neuronal dysfunction and inflammation, which correlate with lower CD4 cell
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Traumatic brain injury (TBI) can lead to a variety of comorbidities, including chronic pain. Although brain tissue metabolite alterations have been extensively examined in several chronic pain populations, it has received less attention in people with TBI. Thus, the primary aim of this study was to compare brain tissue metabolite levels in people with TBI and chronic pain ( = 16), TBI without chronic pain ( = 17), and pain-free healthy controls ( = 31).

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Purpose: In this pilot study, DKI measures of diffusivity and kurtosis were compared in active tumor regions and correlated to radiologic response to radiotherapy after completion of 2 weeks of treatment to derive potential early measures of tumor response.

Methods: MRI and Magnetic Resonance Spectroscopic Imaging (MRSI) data were acquired before the beginning of RT (pre-RT) and 2 weeks after the initiation of treatment (during-RT) in 14 glioblastoma patients. The active tumor region was outlined as the union of the residual contrast-enhancing region and metabolically active tumor region.

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This prospective study aimed to evaluate the variation in magnetic resonance spectroscopic imaging (MRSI)-observed brain metabolite concentrations according to anatomical location, sex, and age, and the relationships among regional metabolite distributions, using short echo time (TE) whole-brain MRSI (WB-MRSI). Thirty-eight healthy participants underwent short TE WB-MRSI. The major metabolite ratios, i.

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Background: Glioblastomas (GBMs) are aggressive brain tumors despite radiation therapy (RT) to 60 Gy and temozolomide (TMZ). Spectroscopic magnetic resonance imaging (sMRI), which measures levels of specific brain metabolites, can delineate regions at high risk for GBM recurrence not visualized on contrast-enhanced (CE) MRI. We conducted a clinical trial to assess the feasibility, safety, and efficacy of sMRI-guided RT dose escalation to 75 Gy for newly diagnosed GBMs.

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Purpose: At ultra-high field (UHF), B -inhomogeneities and high specific absorption rate (SAR) of adiabatic slice-selective RF-pulses make spatial resolved spectral-editing extremely challenging with the conventional MEGA-approach. The purpose of the study was to develop a whole-brain resolved spectral-editing MRSI at UHF (UHF, B  ≥ 7T) within clinical acceptable measurement-time and minimal chemical-shift-displacement-artifacts (CSDA) allowing for simultaneous GABA/Glx-, 2HG-, and PE-editing on a clinical approved 7T-scanner.

Methods: Slice-selective adiabatic refocusing RF-pulses (2π-SSAP) dominate the SAR to the patient in (semi)LASER based MEGA-editing sequences, causing large CSDA and long measurement times to fulfill SAR requirements, even using SAR-minimized GOIA-pulses.

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Aging effects on striato-thalamic metabolism in healthy human brains were studied in vivo using short-TE whole brain H-MR spectroscopic imaging (wbMRSI) on eighty healthy subjects aged evenly between 20 to 70 years at 3T. Relative concentrations of N-acetyl-aspartate (NAA), choline, total creatine (tCr), myo-inositol (mI), glutamate, and glutamine in bilateral caudate nucleus, putamen, pallidum, and thalamus were determined using signal normalization relative to brain tissue water. Linear regression analysis was used to analyze the age-dependence of the metabolite concentrations.

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Proton magnetic resonance spectroscopy (H-MRS) studies have examined glutamatergic abnormalities in schizophrenia and bipolar-I disorders, mostly in single voxels. Though the critical nodes remain unknown, schizophrenia and bipolar-I involve brain networks with broad abnormalities. To provide insight on the biochemical differences that may underlie these networks, the combined glutamine and glutamate signal (Glx) and other metabolites were examined in patients in early psychosis with whole brain H-MRS imaging (H-MRSI).

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Background: Evidence suggests that neurometabolic abnormalities can persist after traumatic brain injury (TBI) and drive clinical symptoms such as fatigue and cognitive disruption. Magnetic resonance spectroscopy has been used to investigate metabolite abnormalities following TBI, but few studies have obtained data beyond the subacute stage or over large brain regions.

Objective: To measure whole-brain metabolites in chronic stages of TBI.

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The translation of MRS to clinical practice has been impeded by the lack of technical standardization. There are multiple methods of acquisition, post-processing, and analysis whose details greatly impact the interpretation of the results. These details are often not fully reported, making it difficult to assess MRS studies on a standardized basis.

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Magnetic resonance spectroscopic imaging (MRSI) is a neuroimaging technique that may be useful for non-invasive mapping of brain temperature (i.e., thermometry) over a large brain volume.

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Background And Purpose: To evaluate the performance of multiparametric MR images in differentiation of different regions of the gross tumor area and for assessment of glioma grade.

Methods: Forty-six glioma subjects (18 grade II, 11 grade III, and 17 grade IV) underwent a comprehensive MR and spectroscopic imaging procedure. Maps were generated by subtraction of T1-weighted images from contrast-enhanced T1-weighted images (ΔT1 map) and T1-weighted images from T2-weighted images (ΔT2 map).

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With a 40-year history of use for in vivo studies, the terminology used to describe the methodology and results of magnetic resonance spectroscopy (MRS) has grown substantially and is not consistent in many aspects. Given the platform offered by this special issue on advanced MRS methodology, the authors decided to describe many of the implicated terms, to pinpoint differences in their meanings and to suggest specific uses or definitions. This work covers terms used to describe all aspects of MRS, starting from the description of the MR signal and its theoretical basis to acquisition methods, processing and to quantification procedures, as well as terms involved in describing results, for example, those used with regard to aspects of quality, reproducibility or indications of error.

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Proton (H) magnetic resonance spectroscopy provides a non-invasive and quantitative measure of brain metabolites. Traumatic brain injury impacts cerebral metabolism and a number of research groups have successfully used this technique as a biomarker of injury and/or outcome in both pediatric and adult TBI populations. However, this technique is underutilized, with studies being performed primarily at centers with access to MR research support.

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Proton magnetic resonance spectroscopy (H-MRS) studies have examined glutamatergic abnormalities in schizophrenia, mostly in single voxels. Though the critical brain nodes remain unknown, schizophrenia involves networks with broad abnormalities. Hence, glutamine plus glutamate (Glx) and other metabolites were examined with whole-brain H-MRS, in early schizophrenia.

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Magnetic resonance spectroscopic imaging (MRSI) offers considerable promise for monitoring metabolic alterations associated with disease or injury; however, to date, these methods have not had a significant impact on clinical care, and their use remains largely confined to the research community and a limited number of clinical sites. The MRSI methods currently implemented on clinical MRI instruments have remained essentially unchanged for two decades, with only incremental improvements in sequence implementation. During this time, a number of technological developments have taken place that have already greatly benefited the quality of MRSI measurements within the research community and which promise to bring advanced MRSI studies to the point where the technique becomes a true imaging modality, while making the traditional review of individual spectra a secondary requirement.

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Purpose: Visual review of individual spectra in magnetic resonance spectroscopic imaging (MRSI) data benefits from the application of spectral smoothing; however, if this processing step is applied prior to spectral analysis this can impact the accuracy of the quantitation. This study aims to analyze the effect of spectral denoising and apodization smoothing on the quantitation of whole-brain MRSI data obtained at short TE.

Methods: Short-TE MRSI data obtained at 3 T were analyzed with no spectral smoothing, following (i) Gaussian apodization with values of 1, 2, 4, 6, and 8 Hz, and (ii) denoising using principal component analysis (dnPCA) with 3 different values for the number of retained principal components.

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Introduction: Major depressive disorder (MDD) is a severe mental disorder with a neurobiological basis that is poorly understood. Several studies demonstrated widespread, functional and neurometabolic alterations in MDD. However, little is known about whole brain neurometabolic alterations in MDD.

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Background And Purpose: Mutations in isocitrate dehydrogenase (IDH) have a direct effect on gliomagenesis. The purpose of this study is to quantify differences in brain metabolites due to IDH mutations.

Methods: Magnetic Resonance Spectroscopic Imaging (MRSI) was performed in 35 patients with gliomas of different grade and varied IDH mutation status.

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  • Cardiovascular risk factors like dyslipidemia and hypertension contribute to white matter pathology and cognitive decline, leading to concerns about brain health.
  • The study hypothesizes that levels of -acetylaspartate (NAA), a key chemical in myelin lipid synthesis, can be used as a biomarker to observe the effects of these risk factors on brain health before clinical symptoms appear.
  • Results showed a strong negative correlation between NAA levels and Framingham Cardiovascular Risk Score (FCVRS) mostly in white matter, indicating that cardiovascular risks affect brain neurochemistry and suggesting NAA mapping could be a useful tool for early detection of these effects.
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  • A study aimed to evaluate changes in the neurometabolic profile of early-stage Parkinson's disease (PD) patients using whole brain magnetic resonance spectroscopic imaging (wbMRSI) as a potential early diagnostic tool.
  • The research involved 20 PD patients and 20 healthy controls, measuring brain metabolite concentrations across various lobes, revealing significant decreases in specific metabolites in the brain areas opposite the more affected side of the body.
  • Findings suggest that metabolic changes in early PD indicate broader neurodegenerative impacts throughout brain networks, highlighting wbMRSI's potential as a biomarker for early diagnosis and monitoring of the disease.*
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