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1.
Proc Natl Acad Sci U S A ; 118(30)2021 07 27.
Article in English | MEDLINE | ID: mdl-34301891

ABSTRACT

Clinical research into consciousness has long focused on cortical macroscopic networks and their disruption in pathological or pharmacological consciousness perturbation. Despite demonstrating diagnostic utility in disorders of consciousness (DoC) and monitoring anesthetic depth, these cortico-centric approaches have been unable to characterize which neurochemical systems may underpin consciousness alterations. Instead, preclinical experiments have long implicated the dopaminergic ventral tegmental area (VTA) in the brainstem. Despite dopaminergic agonist efficacy in DoC patients equally pointing to dopamine, the VTA has not been studied in human perturbed consciousness. To bridge this translational gap between preclinical subcortical and clinical cortico-centric perspectives, we assessed functional connectivity changes of a histologically characterized VTA using functional MRI recordings of pharmacologically (propofol sedation) and pathologically perturbed consciousness (DoC patients). Both cohorts demonstrated VTA disconnection from the precuneus and posterior cingulate (PCu/PCC), a main default mode network node widely implicated in consciousness. Strikingly, the stronger VTA-PCu/PCC connectivity was, the more the PCu/PCC functional connectome resembled its awake configuration, suggesting a possible neuromodulatory relationship. VTA-PCu/PCC connectivity increased toward healthy control levels only in DoC patients who behaviorally improved at follow-up assessment. To test whether VTA-PCu/PCC connectivity can be affected by a dopaminergic agonist, we demonstrated in a separate set of traumatic brain injury patients without DoC that methylphenidate significantly increased this connectivity. Together, our results characterize an in vivo dopaminergic connectivity deficit common to reversible and chronic consciousness perturbation. This noninvasive assessment of the dopaminergic system bridges preclinical and clinical work, associating dopaminergic VTA function with macroscopic network alterations, thereby elucidating a critical aspect of brainstem-cortical interplay for consciousness.


Subject(s)
Brain Injuries, Traumatic/complications , Brain Stem/pathology , Connectome , Consciousness Disorders/pathology , Dopamine/metabolism , Propofol/pharmacology , Ventral Tegmental Area/pathology , Wakefulness/drug effects , Adolescent , Adult , Aged , Brain Stem/drug effects , Case-Control Studies , Consciousness Disorders/etiology , Consciousness Disorders/metabolism , Female , Humans , Magnetic Resonance Imaging , Male , Middle Aged , Ventral Tegmental Area/drug effects , Young Adult
2.
Alzheimers Dement ; 20(6): 3852-3863, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38629936

ABSTRACT

INTRODUCTION: Cerebral small vessel disease (SVD) is a common cause of stroke/vascular dementia with few effective treatments. Neuroinflammation and increased blood-brain barrier (BBB) permeability may influence pathogenesis. In rodent models, minocycline reduced inflammation/BBB permeability. We determined whether minocycline had a similar effect in patients with SVD. METHODS: MINERVA was a single-center, phase II, randomized, double-blind, placebo-controlled trial. Forty-four participants with moderate-to-severe SVD took minocycline or placebo for 3 months. Co-primary outcomes were microglial signal (determined using 11C-PK11195 positron emission tomography) and BBB permeability (using dynamic contrast-enhanced MRI). RESULTS: Forty-four participants were recruited between September 2019 and June 2022. Minocycline had no effect on 11C-PK11195 binding (relative risk [RR] 1.01, 95% confidence interval [CI] 0.98-1.04), or BBB permeability (RR 0.97, 95% CI 0.91-1.03). Serum inflammatory markers were not affected. DISCUSSION: 11C-PK11195 binding and increased BBB permeability are present in SVD; minocycline did not reduce either process. Whether these pathophysiological mechanisms are disease-causing remains unclear. INTERNATIONAL CLINICAL TRIALS REGISTRY PORTAL IDENTIFIER: ISRCTN15483452 HIGHLIGHTS: We found focal areas of increased microglial signal and increased blood-brain barrier permeability in patients with small vessel disease. Minocycline treatment was not associated with a change in these processes measured using advanced neuroimaging. Blood-brain barrier permeability was dynamic but MRI-derived measurements correlated well with CSF/serum albumin ratio. Advanced neuroimaging is a feasible outcome measure for mechanistic clinical trials.


Subject(s)
Blood-Brain Barrier , Cerebral Small Vessel Diseases , Minocycline , Positron-Emission Tomography , Humans , Minocycline/pharmacology , Cerebral Small Vessel Diseases/drug therapy , Cerebral Small Vessel Diseases/diagnostic imaging , Male , Blood-Brain Barrier/drug effects , Blood-Brain Barrier/metabolism , Double-Blind Method , Female , Aged , Magnetic Resonance Imaging , Inflammation/drug therapy , Middle Aged
3.
Stroke ; 54(2): 549-557, 2023 02.
Article in English | MEDLINE | ID: mdl-36621823

ABSTRACT

BACKGROUND: Recent studies have demonstrated increased microglial activation using 11C-PK11195 positron emission tomography imaging, indicating central nervous system inflammation, in cerebral small vessel disease. However, whether such areas of neuroinflammation progress to tissue damage is uncertain. We determined whether white matter destined to become white matter hyperintensities (WMH) at 1 year had evidence of altered inflammation at baseline. METHODS: Forty subjects with small vessel disease (20 sporadic and 20 cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy) and 20 controls were recruited to this case-control observational study from in- and out-patient clinics at Addenbrooke's Hospital, Cambridge, UK and imaged at baseline with both 11C-PK11195 positron emission tomography and magnetic resonance imaging; and magnetic resonance imaging including diffusion tensor imaging was repeated at 1 year. WMH were segmented at baseline and 1 year, and areas of new lesion identified. Baseline 11C-PK11195 binding potential and diffusion tensor imaging parameters in these voxels, and normal appearing white matter, was measured. RESULTS: Complete positron emission tomography-magnetic resonance imaging data was available for 17 controls, 16 sporadic small vessel disease, and 14 cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy participants. 11C-PK11195 binding in voxels destined to become new WMH was lower than in normal appearing white matter, which did not progress to WMH (-0.133[±0.081] versus -0.045 [±0.044]; P<0.001). Mean diffusivity was higher and mean fractional anisotropy lower in new WMH voxels than in normal appearing white matter (900 [±80]×10-6 versus 1045 [±149]×10-6 mm2/s and 0.37±0.05 versus 0.29±0.06, both P<0.001) consistent with new WMH showing tissue damage on diffusion tensor imaging a year prior to developing into new WMH; similar results were seen across the 3 groups. CONCLUSIONS: White matter tissue destined to develop into new WMH over the subsequent year is associated with both lower neuroinflammation, and white matter ultrastructural damage at baseline. Our results suggest that this tissue is already damaged 1 year prior to lesion formation. This may reflect that the role of neuroinflammation in the lesion development process occurs at an early stage, although more studies over a longer period would be needed to investigate this further.


Subject(s)
CADASIL , Leukoencephalopathies , White Matter , Humans , Diffusion Tensor Imaging , CADASIL/metabolism , White Matter/pathology , Neuroinflammatory Diseases , Magnetic Resonance Imaging/methods , Cerebral Infarction/pathology , Leukoencephalopathies/pathology , Positron-Emission Tomography , Inflammation/pathology , Brain/pathology
4.
Neuroimage ; 269: 119926, 2023 04 01.
Article in English | MEDLINE | ID: mdl-36740030

ABSTRACT

High-level brain functions are widely believed to emerge from the orchestrated activity of multiple neural systems. However, lacking a formal definition and practical quantification of emergence for experimental data, neuroscientists have been unable to empirically test this long-standing conjecture. Here we investigate this fundamental question by leveraging a recently proposed framework known as "Integrated Information Decomposition," which establishes a principled information-theoretic approach to operationalise and quantify emergence in dynamical systems - including the human brain. By analysing functional MRI data, our results show that the emergent and hierarchical character of neural dynamics is significantly diminished in chronically unresponsive patients suffering from severe brain injury. At a functional level, we demonstrate that emergence capacity is positively correlated with the extent of hierarchical organisation in brain activity. Furthermore, by combining computational approaches from network control theory and whole-brain biophysical modelling, we show that the reduced capacity for emergent and hierarchical dynamics in severely brain-injured patients can be mechanistically explained by disruptions in the patients' structural connectome. Overall, our results suggest that chronic unresponsiveness resulting from severe brain injury may be related to structural impairment of the fundamental neural infrastructures required for brain dynamics to support emergence.


Subject(s)
Brain Injuries , Connectome , Nervous System Physiological Phenomena , Humans , Connectome/methods , Brain , Magnetic Resonance Imaging/methods
5.
Brain ; 145(6): 2064-2076, 2022 06 30.
Article in English | MEDLINE | ID: mdl-35377407

ABSTRACT

There is substantial interest in the potential for traumatic brain injury to result in progressive neurological deterioration. While blood biomarkers such as glial fibrillary acid protein (GFAP) and neurofilament light have been widely explored in characterizing acute traumatic brain injury (TBI), their use in the chronic phase is limited. Given increasing evidence that these proteins may be markers of ongoing neurodegeneration in a range of diseases, we examined their relationship to imaging changes and functional outcome in the months to years following TBI. Two-hundred and three patients were recruited in two separate cohorts; 6 months post-injury (n = 165); and >5 years post-injury (n = 38; 12 of whom also provided data ∼8 months post-TBI). Subjects underwent blood biomarker sampling (n = 199) and MRI (n = 172; including diffusion tensor imaging). Data from patient cohorts were compared to 59 healthy volunteers and 21 non-brain injury trauma controls. Mean diffusivity and fractional anisotropy were calculated in cortical grey matter, deep grey matter and whole brain white matter. Accelerated brain ageing was calculated at a whole brain level as the predicted age difference defined using T1-weighted images, and at a voxel-based level as the annualized Jacobian determinants in white matter and grey matter, referenced to a population of 652 healthy control subjects. Serum neurofilament light concentrations were elevated in the early chronic phase. While GFAP values were within the normal range at ∼8 months, many patients showed a secondary and temporally distinct elevations up to >5 years after injury. Biomarker elevation at 6 months was significantly related to metrics of microstructural injury on diffusion tensor imaging. Biomarker levels at ∼8 months predicted white matter volume loss at >5 years, and annualized brain volume loss between ∼8 months and 5 years. Patients who worsened functionally between ∼8 months and >5 years showed higher than predicted brain age and elevated neurofilament light levels. GFAP and neurofilament light levels can remain elevated months to years after TBI, and show distinct temporal profiles. These elevations correlate closely with microstructural injury in both grey and white matter on contemporaneous quantitative diffusion tensor imaging. Neurofilament light elevations at ∼8 months may predict ongoing white matter and brain volume loss over >5 years of follow-up. If confirmed, these findings suggest that blood biomarker levels at late time points could be used to identify TBI survivors who are at high risk of progressive neurological damage.


Subject(s)
Brain Injuries, Traumatic , Brain Injuries , White Matter , Biomarkers , Brain Injuries/complications , Brain Injuries, Traumatic/complications , Brain Injuries, Traumatic/diagnostic imaging , Diffusion Tensor Imaging/methods , Disease Progression , Glial Fibrillary Acidic Protein/metabolism , Humans
6.
Proc Natl Acad Sci U S A ; 117(26): 15253-15261, 2020 06 30.
Article in English | MEDLINE | ID: mdl-32541059

ABSTRACT

Regular drug use can lead to addiction, but not everyone who takes drugs makes this transition. How exactly drugs of abuse interact with individual vulnerability is not fully understood, nor is it clear how individuals defy the risks associated with drugs or addiction vulnerability. We used resting-state functional MRI (fMRI) in 162 participants to characterize risk- and resilience-related changes in corticostriatal functional circuits in individuals exposed to stimulant drugs both with and without clinically diagnosed drug addiction, siblings of addicted individuals, and control volunteers. The likelihood of developing addiction, whether due to familial vulnerability or drug use, was associated with significant hypoconnectivity in orbitofrontal and ventromedial prefrontal cortical-striatal circuits-pathways critically implicated in goal-directed decision-making. By contrast, resilience against a diagnosis of substance use disorder was associated with hyperconnectivity in two networks involving 1) the lateral prefrontal cortex and medial caudate nucleus and 2) the supplementary motor area, superior medial frontal cortex, and putamen-brain circuits respectively implicated in top-down inhibitory control and the regulation of habits. These findings point toward a predisposing vulnerability in the causation of addiction, related to impaired goal-directed actions, as well as countervailing resilience systems implicated in behavioral regulation, and may inform novel strategies for therapeutic and preventative interventions.


Subject(s)
Central Nervous System Stimulants , Nerve Net/physiology , Substance-Related Disorders , Adult , Brain/physiopathology , Case-Control Studies , Female , Genetic Predisposition to Disease , Humans , Male , Psychology
7.
Neuroimage ; 254: 119128, 2022 07 01.
Article in English | MEDLINE | ID: mdl-35331869

ABSTRACT

Small world topologies are thought to provide a valuable insight into human brain organisation and consciousness. However, functional magnetic resonance imaging studies in consciousness have not yielded consistent results. Given the importance of dynamics for both consciousness and cognition, here we investigate how the diversity of small world dynamics (quantified by sample entropy; dSW-E1) scales with decreasing levels of awareness (i.e., sedation and disorders of consciousness). Paying particular attention to result reproducibility, we show that dSW-E is a consistent predictor of levels of awareness even when controlling for the underlying functional connectivity dynamics. We find that dSW-E of subcortical, and cortical areas are predictive, with the former showing higher and more robust effect sizes across analyses. We find that the network dynamics of intermodular communication in the cerebellum also have unique predictive power for levels of awareness. Consequently, we propose that the dynamic reorganisation of the functional information architecture, in particular of the subcortex, is a characteristic that emerges with awareness and has explanatory power beyond that of the complexity of dynamic functional connectivity.


Subject(s)
Consciousness , Nerve Net , Brain , Humans , Magnetic Resonance Imaging , Nerve Net/diagnostic imaging , Reproducibility of Results
8.
Neuroimage ; 229: 117749, 2021 04 01.
Article in English | MEDLINE | ID: mdl-33454416

ABSTRACT

BACKGROUND: First-degree relatives of people with dementia (FH+) are at increased risk of developing Alzheimer's disease (AD). Here, we investigate "estimated years to onset of dementia" (EYO) as a surrogate marker of preclinical disease progression and assess its associations with multi-modal neuroimaging biomarkers. METHODS: 89 FH+ participants in the PREVENT-Dementia study underwent longitudinal MR imaging over 2 years. EYO was calculated as the difference between the parental age of dementia diagnosis and the current age of the participant (mean EYO = 23.9 years). MPRAGE, ASL and DWI data were processed using Freesurfer, FSL-BASIL and DTI-TK. White matter lesion maps were segmented from FLAIR scans. The SPM Sandwich Estimator Toolbox was used to test for the main effects of EYO and interactions between EYO, Time, and APOE-ε4+. Threshold free cluster enhancement and family wise error rate correction (TFCE FWER) was performed on voxelwise statistical maps. RESULTS: There were no significant effects of EYO on regional grey matter atrophy or white matter hyperintensities. However, a shorter EYO was associated with lower white matter Fractional Anisotropy and elevated Mean/Radial Diffusivity, particularly in the corpus callosum (TFCEFWERp < 0.05). The influence of EYO on white matter deficits were significantly stronger compared to that of normal ageing. APOE-ε4 carriers exhibited hyperperfusion with nearer proximity to estimated onset in temporo-parietal regions. There were no interactions between EYO and time, suggesting that EYO was not associated with accelerated imaging changes in this sample. CONCLUSIONS: Amongst cognitively normal midlife adults with a family history of dementia, a shorter hypothetical proximity to dementia onset may be associated with incipient brain abnormalities, characterised by white matter disruptions and perfusion abnormalities, particularly amongst APOE-ε4 carriers. Our findings also confer biological validity to the construct of EYO as a potential stage marker of preclinical progression in the context of sporadic dementia. Further clinical follow-up of our longitudinal sample would provide critical validation of these findings.


Subject(s)
Brain/diagnostic imaging , Dementia/diagnostic imaging , Dementia/prevention & control , Multimodal Imaging/methods , Adult , Age of Onset , Alzheimer Disease/diagnostic imaging , Alzheimer Disease/epidemiology , Alzheimer Disease/genetics , Alzheimer Disease/prevention & control , Apolipoprotein E4/genetics , Dementia/epidemiology , Dementia/genetics , Diffusion Tensor Imaging/methods , Female , Follow-Up Studies , Humans , Longitudinal Studies , Magnetic Resonance Imaging/methods , Male , Middle Aged , Neuroimaging/methods , United Kingdom/epidemiology
9.
Neuroimage ; 223: 117358, 2020 12.
Article in English | MEDLINE | ID: mdl-32916289

ABSTRACT

INTRODUCTION: We present the reliability of ultra-high field T2* MRI at 7T, as part of the UK7T Network's "Travelling Heads" study. T2*-weighted MRI images can be processed to produce quantitative susceptibility maps (QSM) and R2* maps. These reflect iron and myelin concentrations, which are altered in many pathophysiological processes. The relaxation parameters of human brain tissue are such that R2* mapping and QSM show particularly strong gains in contrast-to-noise ratio at ultra-high field (7T) vs clinical field strengths (1.5-3T). We aimed to determine the inter-subject and inter-site reproducibility of QSM and R2* mapping at 7T, in readiness for future multi-site clinical studies. METHODS: Ten healthy volunteers were scanned with harmonised single- and multi-echo T2*-weighted gradient echo pulse sequences. Participants were scanned five times at each "home" site and once at each of four other sites. The five sites had 1× Philips, 2× Siemens Magnetom, and 2× Siemens Terra scanners. QSM and R2* maps were computed with the Multi-Scale Dipole Inversion (MSDI) algorithm (https://github.com/fil-physics/Publication-Code). Results were assessed in relevant subcortical and cortical regions of interest (ROIs) defined manually or by the MNI152 standard space. RESULTS AND DISCUSSION: Mean susceptibility (χ) and R2* values agreed broadly with literature values in all ROIs. The inter-site within-subject standard deviation was 0.001-0.005 ppm (χ) and 0.0005-0.001 ms-1 (R2*). For χ this is 2.1-4.8 fold better than 3T reports, and 1.1-3.4 fold better for R2*. The median ICC from within- and cross-site R2* data was 0.98 and 0.91, respectively. Multi-echo QSM had greater variability vs single-echo QSM especially in areas with large B0 inhomogeneity such as the inferior frontal cortex. Across sites, R2* values were more consistent than QSM in subcortical structures due to differences in B0-shimming. On a between-subject level, our measured χ and R2* cross-site variance is comparable to within-site variance in the literature, suggesting that it is reasonable to pool data across sites using our harmonised protocol. CONCLUSION: The harmonized UK7T protocol and pipeline delivers on average a 3-fold improvement in the coefficient of reproducibility for QSM and R2* at 7T compared to previous reports of multi-site reproducibility at 3T. These protocols are ready for use in multi-site clinical studies at 7T.


Subject(s)
Brain Mapping/methods , Brain/anatomy & histology , Brain/diagnostic imaging , Magnetic Resonance Imaging , Adult , Female , Humans , Image Processing, Computer-Assisted , Male , Reproducibility of Results
10.
J Neurol Neurosurg Psychiatry ; 91(2): 158-161, 2020 02.
Article in English | MEDLINE | ID: mdl-31806724

ABSTRACT

BACKGROUND: Increased rates of brain atrophy on serial MRI are frequently used as a surrogate marker of disease progression in Alzheimer's disease and other dementias. However, the extent to which they are associated with future risk of dementia in asymptomatic subjects is not clear. In this study, we investigated the relationship between the Cardiovascular Risk Factors, Aging, and Dementia (CAIDE) risk score and longitudinal atrophy in middle-aged subjects. MATERIALS AND METHODS: A sample of 167 subjects (aged 40-59 at baseline) from the PREVENT-Dementia programme underwent MRI scans on two separate occasions (mean interval 735 days; SD 44 days). We measured longitudinal rates of brain atrophy using the FSL Siena toolbox. RESULTS: Annual percentage rates of brain volume and ventricular volume change were greater in those with a high (>6) vs low CAIDE score-absolute brain volume percentage loss 0.17% (CI 0.07 to 0.27) and absolute ventricular enlargement 1.78% (CI 1.14 to 2.92) higher in the at risk group. Atrophy rates did not differ between subjects with and without a parental history of dementia, but were significantly correlated with age. Using linear regression, with covariates of age, sex and education, CAIDE score >6 was the only significant predictor of whole brain atrophy rates (p=0.025) while age (p=0.009), sex (p=0.002) and CAIDE>6 (p=0.017) all predicted ventricular expansion rate. CONCLUSION: Our results show that progressive brain atrophy is associated with increased risk of future dementia in asymptomatic middle-aged subjects, two decades before dementia onset.


Subject(s)
Atrophy/pathology , Brain/pathology , Cerebral Ventricles/pathology , Dementia/pathology , Adult , Age Factors , Disease Progression , Female , Humans , Longitudinal Studies , Magnetic Resonance Imaging , Male , Middle Aged , Neuroimaging , Neuropsychological Tests , Predictive Value of Tests , Risk Factors
11.
Hum Brain Mapp ; 40(15): 4551-4563, 2019 10 15.
Article in English | MEDLINE | ID: mdl-31350817

ABSTRACT

Down's syndrome is a chromosomal disorder that invariably results in both intellectual disability and Alzheimer's disease neuropathology. However, only a limited number of studies to date have investigated intrinsic brain network organisation in people with Down's syndrome, none of which addressed the links between functional connectivity and Alzheimer's disease. In this cross-sectional study, we employed 11 C-Pittsburgh Compound-B (PiB) positron emission tomography in order to group participants with Down's syndrome based on the presence of fibrillar beta-amyloid neuropathology. We also acquired resting state functional magnetic resonance imaging data to interrogate the connectivity of the default mode network; a large-scale system with demonstrated links to Alzheimer's disease. The results revealed widespread positive connectivity of the default mode network in people with Down's syndrome (n = 34, ages 30-55, median age = 43.5) and a stark lack of anti-correlation. However, in contrast to typically developing controls (n = 20, ages 30-55, median age = 43.5), the Down's syndrome group also showed significantly weaker connections in localised frontal and posterior brain regions. Notably, while a comparison of the PiB-negative Down's syndrome group (n = 19, ages 30-48, median age = 41.0) to controls suggested that alterations in default mode connectivity to frontal brain regions are related to atypical development, a comparison of the PiB-positive (n = 15, ages 39-55, median age = 48.0) and PiB-negative Down's syndrome groups indicated that aberrant connectivity in posterior cortices is associated with the presence of Alzheimer's disease neuropathology. Such distinct profiles of altered connectivity not only further our understanding of the brain physiology that underlies these two inherently linked conditions but may also potentially provide a biomarker for future studies of neurodegeneration in people with Down's syndrome.


Subject(s)
Alzheimer Disease/physiopathology , Connectome , Down Syndrome/physiopathology , Adult , Alzheimer Disease/diagnostic imaging , Amyloid , Aniline Compounds , Carbon Radioisotopes , Cerebral Cortex/diagnostic imaging , Cerebral Cortex/physiopathology , Cross-Sectional Studies , Down Syndrome/diagnostic imaging , Female , Humans , Magnetic Resonance Imaging , Male , Middle Aged , Positron-Emission Tomography , Radiopharmaceuticals , Thiazoles
12.
Int Psychogeriatr ; 29(4): 545-555, 2017 04.
Article in English | MEDLINE | ID: mdl-28088928

ABSTRACT

BACKGROUND: Volumetric atrophy and microstructural alterations in diffusion tensor imaging (DTI) measures of the hippocampus have been reported in people with Alzheimer's disease (AD) and mild cognitive impairment (MCI). However, no study to date has jointly investigated concomitant microstructural and volumetric changes of the hippocampus in dementia with Lewy bodies (DLB). METHODS: A total of 84 subjects (23 MCI, 17 DLB, 14 AD, and 30 healthy controls) were recruited for a multi-modal imaging (3T MRI and DTI) study that included neuropsychological evaluation. Freesurfer was used to segment the total hippocampus and delineate its subfields. The hippocampal segmentations were co-registered to the mean diffusivity (MD) and fractional anisotropy (FA) maps obtained from the DTI images. RESULTS: Both AD and MCI groups showed significantly smaller hippocampal volumes compared to DLB and controls, predominantly in the CA1 and subiculum subfields. Compared to controls, hippocampal MD was elevated in AD, but not in MCI. DLB was characterized by both volumetric and microstructural preservation of the hippocampus. In MCI, higher hippocampal MD was associated with greater atrophy of the hippocampus and CA1 region. Hippocampal volume was a stronger predictor of memory scores compared to MD within the MCI group. CONCLUSIONS: Through a multi-modal integration, we report novel evidence that the hippocampus in DLB is characterized by both macrostructural and microstructural preservation. Contrary to recent suggestions, our findings do not support the view that DTI measurements of the hippocampus are superior to volumetric changes in characterizing group differences, particularly between MCI and controls.


Subject(s)
Alzheimer Disease/diagnostic imaging , Cognitive Dysfunction/diagnostic imaging , Hippocampus/diagnostic imaging , Lewy Body Disease/diagnostic imaging , Aged , Aged, 80 and over , Atrophy/pathology , Case-Control Studies , Diffusion Tensor Imaging/methods , Female , Hippocampus/pathology , Humans , Magnetic Resonance Imaging/methods , Male , Middle Aged , Multivariate Analysis , Neuropsychological Tests , Regression Analysis , United Kingdom
13.
Magn Reson Med ; 76(3): 913-8, 2016 09.
Article in English | MEDLINE | ID: mdl-26418189

ABSTRACT

PURPOSE: While MRI is enhancing our knowledge about the structure and function of the human brain, subject motion remains a problem in many clinical applications. Recently, the use of wireless radiofrequency markers with three one-dimensional (1D) navigators for prospective correction was demonstrated. This method is restricted in the range of motion that can be corrected, however, because of limited information in the 1D readouts. METHODS: Here, the limitation of techniques for disambiguating marker locations was investigated. It was shown that including more sampling directions extends the tracking range for head rotations. The efficiency of trading readout resolution for speed was explored. RESULTS: Tracking of head rotations was demonstrated from -19.2 to 34.4°, -2.7 to 10.0°, and -60.9 to 70.9° in the x-, y-, and z-directions, respectively. In the presence of excessive head motion, the deviation of marker estimates from SPM8 was reduced by 17.1% over existing three-projection methods. This was achieved by using an additional seven directions, extending the time needed for readouts by a factor of 3.3. Much of this increase may be circumvented by reducing resolution, without compromising accuracy. CONCLUSION: Including additional sampling directions extends the range in which markers can be used, for patients who move a lot. Magn Reson Med 76:913-918, 2016. © 2015 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.


Subject(s)
Artifacts , Brain/diagnostic imaging , Image Enhancement/instrumentation , Magnetic Resonance Imaging/instrumentation , Magnetic Resonance Imaging/methods , Wireless Technology/instrumentation , Algorithms , Equipment Design , Equipment Failure Analysis , Fiducial Markers , Head Movements , Humans , Image Enhancement/methods , Radio Waves , Reproducibility of Results , Sample Size , Sensitivity and Specificity , Transducers
14.
Am J Geriatr Psychiatry ; 24(2): 136-43, 2016 Feb.
Article in English | MEDLINE | ID: mdl-26324541

ABSTRACT

OBJECTIVES: Dementia with Lewy bodies (DLB) is characterized by relative preservation of the medial temporal lobe compared with Alzheimer disease (AD). The differential involvement of the hippocampal subfields in both diseases has not been clearly established, however. We aim to investigate hippocampal subfield differences in vivo in a clinical cohort of DLB and AD subjects. METHODS: 104 participants (35 DLBs, 36 ADs, and 35 healthy comparison [HC] subjects) underwent clinical assessment and 3T T1-weighted imaging. A Bayesian model implemented in Freesurfer was used to automatically segment the hippocampus and its subfields. We also examined associations between hippocampal subfields and tests of memory function. RESULTS: Both the AD and DLB groups demonstrated significant atrophy of the total hippocampus relative to HC but the DLB group was characterized by preservation of the cornu ammonis 1 (CA1), fimbria, and fissure. In contrast, all the hippocampal subfields except the fissure were significantly atrophied in AD compared with both DLB and HC groups. Among DLB subjects, CA1 was correlated with the Recent Memory score of the CAMCOG and Delayed Recall subscores of the HVLT. CONCLUSIONS: DLB is characterized by milder hippocampal atrophy that was accompanied by preservation of the CA1. The CA1 was also associated with memory function in DLB. Our findings highlight the promising role of hippocampal subfield volumetry, particularly that of the CA1, as a biomarker for the distinction between AD and DLB.


Subject(s)
Alzheimer Disease/pathology , Biomarkers , Hippocampus/pathology , Lewy Body Disease/pathology , Temporal Lobe/pathology , Aged , Atrophy , Bayes Theorem , Case-Control Studies , Female , Humans , Magnetic Resonance Imaging , Male , Middle Aged , Neuropsychological Tests
15.
Brain ; 138(Pt 10): 2974-86, 2015 Oct.
Article in English | MEDLINE | ID: mdl-26173861

ABSTRACT

Mild cognitive impairment in Parkinson's disease is associated with progression to dementia (Parkinson's disease dementia) in a majority of patients. Determining structural imaging biomarkers associated with prodromal Parkinson's disease dementia may allow for the earlier identification of those at risk, and allow for targeted disease modifying therapies. One hundred and five non-demented subjects with newly diagnosed idiopathic Parkinson's disease and 37 healthy matched controls had serial 3 T structural magnetic resonance imaging scans with clinical and neuropsychological assessments at baseline, which were repeated after 18 months. The Movement Disorder Society Task Force criteria were used to classify the Parkinson's disease subjects into Parkinson's disease with mild cognitive impairment (n = 39) and Parkinson's disease with no cognitive impairment (n = 66). Freesurfer image processing software was used to measure cortical thickness and subcortical volumes at baseline and follow-up. We compared regional percentage change of cortical thinning and subcortical atrophy over 18 months. At baseline, cases with Parkinson's disease with mild cognitive impairment demonstrated widespread cortical thinning relative to controls and atrophy of the nucleus accumbens compared to both controls and subjects with Parkinson's disease with no cognitive impairment. Regional cortical thickness at baseline was correlated with global cognition in the combined Parkinson's disease cohort. Over 18 months, patients with Parkinson's disease with mild cognitive impairment demonstrated more severe cortical thinning in frontal and temporo-parietal cortices, including hippocampal atrophy, relative to those with Parkinson's disease and no cognitive impairment and healthy controls, whereas subjects with Parkinson's disease and no cognitive impairment showed more severe frontal cortical thinning compared to healthy controls. At baseline, Parkinson's disease with no cognitive impairment converters showed bilateral temporal cortex thinning relative to the Parkinson's disease with no cognitive impairment stable subjects. Although loss of both cortical and subcortical volume occurs in non-demented Parkinson's disease, our longitudinal analyses revealed that Parkinson's disease with mild cognitive impairment shows more extensive atrophy and greater percentage of cortical thinning compared to Parkinson's disease with no cognitive impairment. In particular, an extension of cortical thinning in the temporo-parietal regions in addition to frontal atrophy could be a biomarker in therapeutic studies of mild cognitive impairment in Parkinson's disease for progression towards dementia.


Subject(s)
Cognition Disorders/etiology , Gray Matter/pathology , Parkinson Disease/complications , Parkinson Disease/pathology , Adult , Aged , Aged, 80 and over , Brain Mapping , Female , Humans , Longitudinal Studies , Magnetic Resonance Imaging , Male , Middle Aged , Neuropsychological Tests , Retrospective Studies , Severity of Illness Index , Statistics, Nonparametric
16.
PLoS Comput Biol ; 10(10): e1003887, 2014 Oct.
Article in English | MEDLINE | ID: mdl-25329398

ABSTRACT

Theoretical advances in the science of consciousness have proposed that it is concomitant with balanced cortical integration and differentiation, enabled by efficient networks of information transfer across multiple scales. Here, we apply graph theory to compare key signatures of such networks in high-density electroencephalographic data from 32 patients with chronic disorders of consciousness, against normative data from healthy controls. Based on connectivity within canonical frequency bands, we found that patient networks had reduced local and global efficiency, and fewer hubs in the alpha band. We devised a novel topographical metric, termed modular span, which showed that the alpha network modules in patients were also spatially circumscribed, lacking the structured long-distance interactions commonly observed in the healthy controls. Importantly however, these differences between graph-theoretic metrics were partially reversed in delta and theta band networks, which were also significantly more similar to each other in patients than controls. Going further, we found that metrics of alpha network efficiency also correlated with the degree of behavioural awareness. Intriguingly, some patients in behaviourally unresponsive vegetative states who demonstrated evidence of covert awareness with functional neuroimaging stood out from this trend: they had alpha networks that were remarkably well preserved and similar to those observed in the controls. Taken together, our findings inform current understanding of disorders of consciousness by highlighting the distinctive brain networks that characterise them. In the significant minority of vegetative patients who follow commands in neuroimaging tests, they point to putative network mechanisms that could support cognitive function and consciousness despite profound behavioural impairment.


Subject(s)
Brain/physiology , Consciousness/physiology , Image Processing, Computer-Assisted/methods , Nerve Net/physiology , Persistent Vegetative State/physiopathology , Adult , Cluster Analysis , Electroencephalography/methods , Female , Humans , Male , Young Adult
17.
Addict Biol ; 20(1): 194-6, 2015 Jan.
Article in English | MEDLINE | ID: mdl-23927455

ABSTRACT

Loss of control over hedonically motivated actions is a defining component of impulse control disorders, such as drug dependence and the proposed 'food addiction' model of obesity. Devolution from goal-directed to compulsively maintained behaviors is partially attributed to abnormalities in the orbitofrontal cortex, an area critical in reward valuation. In the current study, overlapping reductions in orbitofrontal gray matter volume relating to body mass index were seen in healthy control and cocaine-dependent individuals, as well as in relation to duration of cocaine abuse, providing support for a shared neuropathology between the two conditions potentially related to dysfunctional reward-seeking behavior.


Subject(s)
Cocaine-Related Disorders/pathology , Frontal Lobe/pathology , Gray Matter/pathology , Obesity/pathology , Body Mass Index , Case-Control Studies , Humans , Magnetic Resonance Imaging , Organ Size , Time Factors
18.
Neuroimage ; 100: 379-84, 2014 Oct 15.
Article in English | MEDLINE | ID: mdl-24954279

ABSTRACT

This study aimed to test the superiority proposed by Abbott et al. (2011) of their Voxel based iterative sensitivity (VBIS) method over Voxel Based Morphometry using T2-weighted images (T2-VBM), in detecting intensity changes in Alzheimer's disease (AD). A comparison was made first in simulated intensity lesions and then in AD patients. Intensity changes were evaluated in the whole-brain with VBIS and with a simple intensity-based approach and in specific tissue classes with the conventional VBM method of using tissue probability segments. Results showed that VBIS performed well in the simulated environment though it showed no superiority in detecting the lesion compared to the much simpler VBM approach. The VBIS method, however, failed to detect any meaningful signal intensity reduction in AD patient data. Moreover, its whole brain approach was contaminated by the excess cerebrospinal fluid signal (very bright on T2-weighted scans) in areas of maximal measurable atrophy (mesial temporal lobes); this gave rise to spurious signal intensity increases in these regions in AD. The same artefact was observed for both intensity-based methods but not with the conventional VBM approach of performing statistics on grey matter segments. In conclusion, no evidence was found to indicate that VBIS offers benefits over T2-VBM in AD, nor in simulation intensity lesions. The study highlights the necessity of empirically testing voxel-based analysis techniques rather than merely claiming superiority of one method over another on theoretical grounds.


Subject(s)
Alzheimer Disease/pathology , Brain/pathology , Imaging, Three-Dimensional/methods , Magnetic Resonance Imaging/methods , Aged , Female , Humans , Imaging, Three-Dimensional/standards , Magnetic Resonance Imaging/standards , Male
19.
Brain ; 136(Pt 7): 2253-61, 2013 Jul.
Article in English | MEDLINE | ID: mdl-23729473

ABSTRACT

Although magnetic resonance imaging is a standard investigation in neurodegenerative disease, sensitive and specific markers for the underlying histopathological diagnosis are largely lacking. This report presents evidence to indicate that corticobasal degeneration and progressive supranuclear palsy, in particular, might be identifiable at a single subject level with diffusion tensor imaging. Patients with clinical diagnoses of Alzheimer's disease, semantic dementia and non-fluent primary progressive aphasia (n = 9 each) were contrasted with control subjects (n = 26) with the diffusion tensor imaging measures: fractional anisotropy, axial and radial diffusivity. At 1 year follow-up, all participants with non-fluent primary progressive aphasia had evolved either corticobasal degeneration (n = 5) or progressive supranuclear palsy (n = 4). The corticobasal degeneration/progressive supranuclear palsy set showed white matter abnormalities involving the entire cerebrum. Individual maps were similar to the group level results, even in the most minimally impaired patients. Fractional anisotropy was consistently the most sensitive metric. In Alzheimer's disease and semantic dementia, by contrast, group level and individual analyses revealed limited areas of abnormality centred on the posterior cingulate and rostral temporal lobes, respectively. In both groups radial diffusivity was the most sensitive metric. Scrutiny of the standard scores for each group's most sensitive metric revealed that, although the values for every patient with corticobasal degeneration or progressive supranuclear palsy fell outside 95% of the normal mean, none of the other two groups' members had values outside this range. Further underscoring the hypothesis that this finding relates specifically to a diffuse pathological process in the white matter of the tauopathies, and is not merely a function of disease severity, a grey matter analysis consisting of group level voxel-based morphometry revealed only focal areas of atrophy in all three groups. Consistent with past reports for the respective clinical syndromes, these were centred on the left frontal operculum and caudate nucleus in non-fluent primary progressive aphasia (the corticobasal degeneration/progressive supranuclear palsy set), anterior temporal lobes in semantic dementia, and hippocampus and posterior cingulate gyrus in Alzheimer's disease. Detection of this extensive white matter lesion in corticobasal degeneration and progressive supranuclear palsy-a pathologically proven feature of these conditions--in single subjects with diffusion tensor imaging appears to have strong diagnostic marker potential for these diseases.


Subject(s)
Brain/metabolism , Diffusion Magnetic Resonance Imaging , Nerve Fibers, Myelinated/pathology , Neurodegenerative Diseases/pathology , Aged , Alzheimer Disease/complications , Analysis of Variance , Anisotropy , Aphasia, Primary Progressive/etiology , Brain/pathology , Brain Mapping , Case-Control Studies , Cognition Disorders/etiology , Cohort Studies , Female , Frontotemporal Lobar Degeneration/complications , Humans , Male , Middle Aged , Neurodegenerative Diseases/complications , Neuropsychological Tests , Supranuclear Palsy, Progressive/complications
20.
Brain Commun ; 6(3): fcae138, 2024.
Article in English | MEDLINE | ID: mdl-38779354

ABSTRACT

Changes in the brain's physiology in Alzheimer's disease are thought to occur early in the disease's trajectory. In this study our aim was to investigate the brain's neurochemical profile in a midlife cohort in relation to risk factors for future dementia using single voxel proton magnetic resonance spectroscopy. Participants in the multi-site PREVENT-Dementia study (age range 40-59 year old) underwent 3T magnetic resonance spectroscopy with the spectroscopy voxel placed in the posterior cingulate/precuneus region. Using LCModel, we quantified the absolute concentrations of myo-inositol, total N-acetylaspartate, total creatine, choline, glutathione and glutamate-glutamine for 406 participants (mean age 51.1; 65.3% female). Underlying partial volume effects were accounted for by applying a correction for the presence of cerebrospinal fluid in the magnetic resonance spectroscopy voxel. We investigated how metabolite concentrations related to apolipoprotein ɛ4 genotype, dementia family history, a risk score (Cardiovascular Risk Factors, Aging and Incidence of Dementia -CAIDE) for future dementia including non-modifiable and potentially-modifiable factors and dietary patterns (adherence to Mediterranean diet). Dementia family history was associated with decreased total N-acetylaspartate and no differences were found between apolipoprotein ɛ4 carriers and non-carriers. A higher Cardiovascular Risk Factors, Aging, and Incidence of Dementia score related to higher myo-inositol, choline, total creatine and glutamate-glutamine, an effect which was mainly driven by older age and a higher body mass index. Greater adherence to the Mediterranean diet was associated with lower choline, myo-inositol and total creatine; these effects did not survive correction for multiple comparisons. The observed associations suggest that at midlife the brain demonstrates subtle neurochemical changes in relation to both inherited and potentially modifiable risk factors for future dementia.

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