615 results found
Poldrack RA, Baker CI, Durnez J, et al., 2016, Scanning the Horizon: Towards transparent and reproducible neuroimaging research, Publisher: Cold Spring Harbor Laboratory
<jats:title>Abstract</jats:title><jats:p>Functional neuroimaging techniques have transformed our ability to probe the neurobiological basis of behaviour and are increasingly being applied by the wider neuroscience community. However, concerns have recently been raised that the conclusions drawn from some human neuroimaging studies are either spurious or not generalizable. Problems such as low statistical power, flexibility in data analysis, software errors, and lack of direct replication apply to many fields, but perhaps particularly to fMRI. Here we discuss these problems, outline current and suggested best practices, and describe how we think the field should evolve to produce the most meaningful answers to neuroscientific questions.</jats:p>
Maron E, Near J, Wallis G, et al., 2016, A pilot study of the effect of short-term escitalopram treatment on brain metabolites and gamma-oscillations in healthy subjects, Journal of Psychopharmacology, Vol: 30, Pages: 579-580, ISSN: 1461-7285
Nie L, Matthews PM, Guo Y, 2016, Inferring individual-level variations in the functional parcellation of the cerebral cortex, IEEE Transactions on Biomedical Engineering, Vol: 63, Pages: 2505-2517, ISSN: 0018-9294
Objective: Functional parcellation of the cerebral cortex is variable across different subjects or between cognitive states. Ignoring individual - or state - dependent variations in the functional parcellation may lead to inaccurate representations of individual functional connectivity, limiting the precision of interpretations of differences in individual connectivity profiles. However, it is difficult to infer the individual-level variations due to the relatively low robustness of methods for parcellation of individual subjects. Methods: We propose a method called “joint K-means” to robustly parcellate the cerebral cortex using fMRI data for contrasts between two states or subjects that intended to characterize variance in individual functional parcellations. The key idea of the proposed method is to jointly infer parcellations in contrasted datasets by iterative descent, while constraining the similarity of the two pathways in searches for local minima to reduce spurious variations. Results: Parcellations of resting-state fMRI datasets from the Human Connectome Project show that the similarity of parcellations for an individual subject studied on two sessions is greater than that between different subjects. Differences in parcellations between subjects are non-uniformly distributed across the cerebral cortex, with clusters of higher variance in the prefrontal, lateral temporal and occipito-parietal cortices. This pattern is reproducible across sessions, between groups and using different numbers of parcels. Conclusion: The individual-level variations inferred by the proposed method are plausible and consistent with the previously reported functional connectivity variability. Significance: The proposed method is a promising tool for investigating relationships between the cerebral functional organization and behavioral differences.
Scott G, Gunn RN, Matthews PM, et al., 2016, Minocycline reduces microglial activation after traumatic brain injury measured using [11C]-PBR28 positron emission tomography, International Brain Injury Association’s Eleventh World Congress on Brain Injury, Publisher: Taylor & Francis, Pages: 686-687, ISSN: 1362-301X
Lovestone S, Rossor M, Gallacher J, et al., 2016, Better together for better dementia research and care, Lancet Psychiatry, Vol: 3, Pages: 503-504, ISSN: 2215-0374
De Guio F, Jouvent E, Biessels GJ, et al., 2016, Reproducibility and variability of quantitative magnetic resonance imaging markers in cerebral small vessel disease., Journal of Cerebral Blood Flow & Metabolism, Vol: 36, Pages: 1319-1337, ISSN: 0271-678X
Brain imaging is essential for the diagnosis and characterization of cerebral small vessel disease. Several magnetic resonance imaging markers have therefore emerged, providing new information on the diagnosis, progression, and mechanisms of small vessel disease. Yet, the reproducibility of these small vessel disease markers has received little attention despite being widely used in cross-sectional and longitudinal studies. This review focuses on the main small vessel disease-related markers on magnetic resonance imaging including: white matter hyperintensities, lacunes, dilated perivascular spaces, microbleeds, and brain volume. The aim is to summarize, for each marker, what is currently known about: (1) its reproducibility in studies with a scan-rescan procedure either in single or multicenter settings; (2) the acquisition-related sources of variability; and, (3) the techniques used to minimize this variability. Based on the results, we discuss technical and other challenges that need to be overcome in order for these markers to be reliably used as outcome measures in future clinical trials. We also highlight the key points that need to be considered when designing multicenter magnetic resonance imaging studies of small vessel disease.
Tiwari AD, Wu C, Zhu J, et al., 2016, Design, Synthesis, and Evaluation of Fluorinated Radioligands for Myelin Imaging, Journal of Medicinal Chemistry, Vol: 59, Pages: 3705-3718, ISSN: 0022-2623
James A, Joyce E, Lunn D, et al., 2016, Abnormal frontostriatal connectivity in adolescent-onset schizophrenia and its relationship to cognitive functioning, European Psychiatry, Vol: 35, Pages: 32-38, ISSN: 1778-3585
Matthews PM, Roncaroli F, Waldman A, et al., 2016, A practical review of the neuropathology and neuroimaging of multiple sclerosis, Practical Neurology, Vol: 16, Pages: 279-287, ISSN: 1474-7766
The variability in the severity and clinical course of multiple sclerosis (MS) has as its basis an extreme heterogeneity in the location, nature and extent of pathology in the brain and spinal cord. Understanding the underlying neuropathology and associated pathogenetic mechanisms of the disease helps to communicate the rationale for treatment and disease monitoring to patients. Neuroimaging is an important tool for this: it allows clinicians to relate neuropathological changes to clinical presentations and to monitor the course of their disease. Here, we review MS neuropathology and its imaging correlates to provide a practical guide for using MRI to assess disease severity and treatment responses. This provides a foundation for optimal management of patients based on the principle that they show 'no evidence of disease activity'.
Khamis RY, Woollard KJ, Hyde GD, et al., 2016, Near Infrared Fluorescence (NIRF) Molecular Imaging of Oxidized LDL with an Autoantibody in Experimental Atherosclerosis, Scientific Reports, Vol: 6, ISSN: 2045-2322
We aimed to develop a quantitative antibody-based near infrared fluorescence (NIRF) approachfor the imaging of oxidized LDL in atherosclerosis. LO1, a well- characterized monoclonalautoantibody that reacts with malondialdehyde-conjugated LDL, was labeled with a NIRF dye toyield LO1-750. LO1-750 specifically identified necrotic core in ex vivo human coronary lesions.Injection of LO1-750 into high fat (HF) fed atherosclerotic Ldlr-/-mice led to specific focallocalization within the aortic arch and its branches, as detected by fluorescence moleculartomography (FMT) combined with micro-computed tomography (CT). Ex vivo confocalmicroscopy confirmed LO1-750 subendothelial localization of LO1-750 at sites ofatherosclerosis, in the vicinity of macrophages. When compared with a NIRF reporter of MMPactivity (MMPSense-645-FAST), both probes produced statistically significant increases inNIRF signal in the Ldlr-/- model in relation to duration of HF diet. When withdrawing the HFdiet, the reduction in oxLDL accumulation, as demonstrated with LO1-750, was less markedthan the effect seen on MMP activity. In the rabbit, in vivo injected LO1-750 localization wassuccessfully imaged ex vivo in aortic lesions with a customised intra-arterial NIRF detectioncatheter. A partially humanized chimeric LO1-Fab-Cys localized similarly to the parentantibody in murine atheroma showing promise for future translation.
Vera JH, Guo Q, Cole JH, et al., 2016, Neuroinflammation in treated HIV-positive individuals: A TSPO PET study., Neurology, Vol: 86, Pages: 1425-1432, ISSN: 1526-632X
OBJECTIVE: To explore the effects of microglial activation on brain function and structure, and its relationship with peripheral inflammatory markers, in treated, HIV-positive individuals, using in vivo [(11)C]PBR28 PET (to measure the 18 kDa translocator protein [TSPO]). METHODS: Cognitively healthy HIV-positive individuals on suppressive antiretroviral therapy and HIV-negative individuals (controls) underwent brain [(11)C]PBR28 PET and MRI. HIV-positive patients completed neuropsychological testing and CSF testing for chemokines. The concentration of bacterial ribosomal 16sDNA in plasma was measured as a marker of microbial translocation. RESULTS: HIV-positive individuals showed global increases in TSPO expression compared to controls (corrected p < 0.01), with significant regional increases in the parietal (p = 0.001) and occipital (p = 0.046) lobes and in the globus pallidus (p = 0.035). TSPO binding in the hippocampus, amygdala, and thalamus were associated with poorer global cognitive performance in tasks assessing verbal and visual memory (p < 0.05). Increased TSPO binding was associated with increased brain white matter diffusion MRI mean diffusivity in HIV-positive individuals, a lower CD4/CD8 ratio, and both high pretreatment HIV RNA and plasma concentration ribosomal 16s DNA (p < 0.05). CONCLUSIONS: Cognitively healthy HIV-positive individuals show evidence for a chronically activated brain innate immune response and elevated blood markers of microbial translocation despite effective control of plasma viremia. Increased brain inflammation is associated with poorer cognitive performance and white matter microstructural pathology, suggesting a possible role in cognitive impairments found in some HIV-positive patients despite effective treatment.
Scott GPT, Ramlackhansingh A, Edison P, et al., 2016, Amyloid pathology and axonal injury after brain trauma, Neurology, Vol: 86, Pages: 821-828, ISSN: 0028-3878
Objective: To image amyloid-β (Aβ) plaque burden in long-term survivors of traumatic brain injury (TBI), test whether traumatic axonal injury and Aβ are correlated, and compare the spatial distribution of Aβ to Alzheimer’s disease.Methods: Patients 11 months to 17 years after moderate-severe TBI had 11C-Pittsburgh compound-B (PIB) PET, structural and diffusion MRI and neuropsychological examination. Healthy aged controls and AD patients had PET and structural MRI. Binding potential (BPND) images of 11C-PIB, which index Aβ plaque density, were computed using an automatic reference region extraction procedure. Voxelwise and regional differences in BPND were assessed. In TBI, a measure of white matter integrity, fractional anisotropy (FA), was estimated and correlated with 11C-PIB BPND.Results: 28 participants (9 TBI, 9 controls, 10 AD) were assessed. Increased 11C-PIB BPND was found in TBI versus controls in the posterior cingulate cortex (PCC) and cerebellum. Binding in the PCC increased with decreasing FA of associated white matter tracts, and increased with time since injury. Compared to AD, binding after TBI was lower in neocortical regions, but increased in the cerebellum. Conclusions: Increased Aβ burden was observed in TBI. The distribution overlaps with, but is distinct from, that of AD. This suggests a mechanistic link between TBI and the development of neuropathological features of dementia, which may relate to axonal damage produced by the injury.
Petersen SE, Matthews PM, Francis JM, et al., 2016, UK Biobank's cardiovascular magnetic resonance protocol., Journal of Cardiovascular Magnetic Resonance, Vol: 18, ISSN: 1532-429X
BACKGROUND: UK Biobank's ambitious aim is to perform cardiovascular magnetic resonance (CMR) in 100,000 people previously recruited into this prospective cohort study of half a million 40-69 year-olds. METHODS/DESIGN: We describe the CMR protocol applied in UK Biobank's pilot phase, which will be extended into the main phase with three centres using the same equipment and protocols. The CMR protocol includes white blood CMR (sagittal anatomy, coronary and transverse anatomy), cine CMR (long axis cines, short axis cines of the ventricles, coronal LVOT cine), strain CMR (tagging), flow CMR (aortic valve flow) and parametric CMR (native T1 map). DISCUSSION: This report will serve as a reference to researchers intending to use the UK Biobank resource or to replicate the UK Biobank cardiovascular magnetic resonance protocol in different settings.
Miller KL, Bangerter N, Almagro FA, et al., 2016, UK Biobank: Brain imaging protocols and first data release, ISMRM 24th Annual Meeting
Maron E, Wall M, Norbury R, et al., 2015, Effect of short-term escitalopram treatment on neural activation during emotional processing, Journal of Psychopharmacology, Vol: 30, Pages: 33-39, ISSN: 1461-7285
Recent functional magnetic resonance (fMRI) imaging studies have revealed that subchronic medication with escitalopram leads to significantreduction in both amygdala and medial frontal gyrus reactivity during processing of emotional faces, suggesting that escitalopram may have adistinguishable modulatory effect on neural activation as compared with other serotonin-selective antidepressants. In this fMRI study we aimed toexplore whether short-term medication with escitalopram in healthy volunteers is associated with reduced neural response to emotional processing,and whether this effect is predicted by drug plasma concentration. The neural response to fearful and happy faces was measured before and on day7 of treatment with escitalopram (10mg) in 15 healthy volunteers and compared with those in a control unmedicated group (n=14). Significantlyreduced activation to fearful, but not to happy facial expressions was observed in the bilateral amygdala, cingulate and right medial frontal gyrusfollowing escitalopram medication. This effect was not correlated with plasma drug concentration. In accordance with previous data, we showed thatescitalopram exerts its rapid direct effect on emotional processing via attenuation of neural activation in pathways involving medial frontal gyrus andamygdala, an effect that seems to be distinguishable from that of other SSRIs.
Colasanti A, Guo, Giannetti P, et al., 2015, Hippocampal neuroinflammation, functional connectivity and depressive symptoms in multiple sclerosis, Biological Psychiatry, Vol: 80, Pages: 62-72, ISSN: 1873-2402
BackgroundDepression, a condition commonly comorbid with multiple sclerosis (MS), is associated more generally with elevated inflammatory markers and hippocampal pathology. We hypothesized that neuroinflammation in the hippocampus is responsible for depression associated with MS. We characterized the relationship between depressive symptoms and hippocampal microglial activation in patients with MS using the 18-kDa translocator protein radioligand [18F]PBR111. To evaluate pathophysiologic mechanisms, we explored the relationships between hippocampal neuroinflammation, depressive symptoms, and hippocampal functional connectivities defined by resting-state functional magnetic resonance imaging.MethodsThe Beck Depression Inventory (BDI) was administered to 11 patients with MS and 22 healthy control subjects before scanning with positron emission tomography and functional magnetic resonance imaging. We tested for higher [18F]PBR111 uptake in the hippocampus of patients with MS relative to healthy control subjects and examined the correlations between [18F]PBR111 uptake, BDI scores, and hippocampal functional connectivities in the patients with MS.ResultsPatients with MS had an increased hippocampal [18F]PBR111 distribution volume ratio relative to healthy control subjects (p = .024), and the hippocampal distribution volume ratio was strongly correlated with the BDI score in patients with MS (r = .86, p = .006). Hippocampal functional connectivities to the subgenual cingulate and prefrontal and parietal regions correlated with BDI scores and [18F]PBR111 distribution volume ratio.ConclusionsOur results provide evidence that hippocampal microglial activation in MS impairs the brain functional connectivities in regions contributing to maintenance of a normal affective state. Our results suggest a rationale for the responsiveness of depression in some patients with MS to effective control of brain neuroinflammation. Our findings also lend support to further investigation of t
Matthews PM, Sudlow C, 2015, The UK Biobank, BRAIN, Vol: 138, Pages: 3463-3465, ISSN: 0006-8950
Scott G, Hellyer PJ, Ramlackhansingh AF, et al., 2015, Thalamic inflammation after brain trauma is associated with thalamo-cortical white matter damage, Journal of Neuroinflammation, Vol: 12, ISSN: 1742-2094
BackgroundTraumatic brain injury can trigger chronic neuroinflammation, which may predispose to neurodegeneration. Animal models and human pathological studies demonstrate persistent inflammation in the thalamus associated with axonal injury, but this relationship has never been shown in vivo.FindingsUsing [11C]-PK11195 positron emission tomography, a marker of microglial activation, we previously demonstrated thalamic inflammation up to 17 years after traumatic brain injury. Here, we use diffusion MRI to estimate axonal injury and show that thalamic inflammation is correlated with thalamo-cortical tract damage.ConclusionsThese findings support a link between axonal damage and persistent inflammation after brain injury.
Matthews PM, 2015, New drugs and personalized medicine for multiple sclerosis, NATURE REVIEWS NEUROLOGY, Vol: 11, Pages: 614-616, ISSN: 1759-4758
Tsinalis O, Matthews PM, Guo Y, 2015, Automatic sleep stage scoring using time-frequency analysis and stacked sparse autoencoders, Annals of Biomedical Engineering, Vol: 44, Pages: 1587-1597, ISSN: 1573-9686
We developed a machine learning methodology for automatic sleep stage scoring. Our time-frequency analysis-based feature extraction is fine-tuned to capture sleep stage-specific signal features as described in the American Academy of Sleep Medicine manual that the human experts follow. We used ensemble learning with an ensemble of stacked sparse autoencoders for classifying the sleep stages. We used class-balanced random sampling across sleep stages for each model in the ensemble to avoid skewed performance in favor of the most represented sleep stages, and addressed the problem of misclassification errors due to class imbalance while significantly improving worst-stage classification. We used an openly available dataset from 20 healthy young adults for evaluation. We used a single channel of EEG from this dataset, which makes our method a suitable candidate for longitudinal monitoring using wearable EEG in real-world settings. Our method has both high overall accuracy (78%, range 75–80%), and high mean \(F_1\)-score (84%, range 82–86%) and mean accuracy across individual sleep stages (86%, range 84–88%) over all subjects. The performance of our method appears to be uncorrelated with the sleep efficiency and percentage of transitional epochs in each recording.
Nie L, Yang X, Matthews P, et al., 2015, Minimum Partial Correlation: An Accurate and Parameter-Free Measure of Functional Connectivity in fMRI, International Conference on Brain Informatics & Health, BIH, Publisher: Springer International Publishing
Matthews PM, 2015, Clinical applications of fMRI, fMRI: From Nuclear Spins to Brain Functions, Pages: 611-632, ISBN: 9781489975904
Datta G, Battaglini M, Scott G, et al., 2015, Positron emission tomography imaging in multiple sclerosis highlights a diffuse inflammatory response in brain that appears normal on conventional magnetic resonance imaging, 31st Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS), Publisher: SAGE Publications (UK and US), Pages: 477-478, ISSN: 1477-0970
Matthews PM, 2015, Measuring brain function in multiple sclerosis, 31st Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS), Publisher: SAGE PUBLICATIONS LTD, Pages: 58-58, ISSN: 1352-4585
Colasanti A, Guo Q, Giannetti P, et al., 2015, Hippocampal inflammation and depression in multiple sclerosis: integrating evidence from TSPO PET and resting state fMRI, 31st Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS), Publisher: SAGE Publications (UK and US), Pages: 492-493, ISSN: 1477-0970
Suri S, Mackay CE, Kelly ME, et al., 2015, Reduced cerebrovascular reactivity in young adults carrying the APOE epsilon 4 allele, ALZHEIMERS & DEMENTIA, Vol: 11, Pages: 648-657, ISSN: 1552-5260
Ntusi NAB, Piechnik SK, Francis JM, et al., 2015, Diffuse Myocardial Fibrosis and Inflammation in Rheumatoid Arthritis Insights From CMR T1 Mapping, JACC-CARDIOVASCULAR IMAGING, Vol: 8, Pages: 526-536, ISSN: 1936-878X
Colasanti A, Guo Q, Giannetti P, et al., 2015, Hippocampal Inflammation and Depressive Symptoms are Associated to the Strength of Hippocampal Functional Connectivity in Multiple Sclerosis: A Study with TSPO-PET and Resting-State fMRI, 70th Annual Scientific Meeting of the Society-of-Biological-Psychiatry on Stress, Emotion, Neurodevelopment and Psychopathology, Publisher: ELSEVIER SCIENCE INC, Pages: 115S-116S, ISSN: 0006-3223
Clarke E, Matthews PM, 2015, The OPTIMISE data project: toward improving multiple sclerosis treatment, FUTURE NEUROLOGY, Vol: 10, Pages: 187-190, ISSN: 1479-6708
Matthews PM, Datta G, 2015, Positron-emission tomography molecular imaging of glia and myelin in drug discovery for multiple sclerosis, EXPERT OPINION ON DRUG DISCOVERY, Vol: 10, Pages: 557-570, ISSN: 1746-0441
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