Sensitivity of orbital magnetic resonance imaging in acute demyelinating optic neuritis.

OBJECTIVE: To determine the sensitivity of orbital magnetic resonance imaging (MRI) in acute demyelinating optic neuritis (ON) in routine clinical practice, and the added value of a dedicated neuroradiology interpretation. DESIGN: Retrospective chart review. PARTICIPANTS: Patients with clinically proven ON evaluated between 2004 and 2014 in the University of Michigan neuro-ophthalmology clinics. Inclusion criteria involved visual recovery and orbital MRI completed within 30days of symptom onset and before corticosteroid treatment. METHODS: Demographics, clinical examination, and MRI report data (high T2 signal, gadolinium contrast enhancement) were abstracted for each eligible eye. Every MRI was reinterpreted by a neuroradiologist masked to the affected side. Descriptive statistics summarized patient and eye characteristics. Interrater agreement between the neuroradiologist and the radiology report for the radiographic diagnosis of ON was assessed with Cohen's kappa statistic. RESULTS: Of 92 patients who met all inclusion criteria, 70 (76.1%) were reported to have at least 1 MRI feature consistent with ON. After dedicated review by a neuroradiologist, 77 (83.7%) were determined to have a positive MRI for ON. Agreement between the neuroradiologist and MRI report was moderate (κ = 0.63). Gadolinium enhancement was the most common feature in MRI positive ON (72 [78.3%] of neuroradiology reviewed MRIs; 66 [71.7%] of clinical MRI reports). CONCLUSIONS: The sensitivity of MRI in ON was lower than previously reported and confirms the importance of making a clinical diagnosis of ON without relying on neuroimaging for confirmation. MRI interpretation by a skilled neuroradiologist increased sensitivity, underscoring the complexity of orbital MRI interpretation.

Michigan Neural Distinctiveness (MiND) study protocol: investigating the scope, causes, and consequences of age-related neural dedifferentiation.

BACKGROUND: Aging is often associated with behavioral impairments, but some people age more gracefully than others. Why? One factor that may play a role is individual differences in the distinctiveness of neural representations. Previous research has found that neural activation patterns in visual cortex in response to different visual stimuli are often more similar (i.e., less distinctive) in older vs. young participants, a phenomenon referred to as age-related neural dedifferentiation. Furthermore, older people whose neural representations are less distinctive tend to perform worse on a wide range of behavioral tasks. The Michigan Neural Distinctiveness (MiND) project aims to investigate the scope of neural dedifferentiation (e.g., does it also occur in auditory, motor, and somatosensory cortex?), one potential cause (age-related reductions in the inhibitory neurotransmitter gamma-aminobutyric acid (GABA)), and the behavioral consequences of neural dedifferentiation. This protocol paper describes the study rationale and methods being used in complete detail, but not the results (data collection is currently underway). METHODS: The MiND project consists of two studies: the main study and a drug study. In the main study, we are recruiting 60 young and 100 older adults to perform behavioral tasks that measure sensory and cognitive function. They also participate in functional MRI (fMRI), MR spectroscopy, and diffusion weighted imaging sessions, providing data on neural distinctiveness and GABA concentrations. In the drug study, we are recruiting 25 young and 25 older adults to compare neural distinctiveness, measured with fMRI, after participants take a placebo or a benzodiazepine (lorazepam) that should increase GABA activity. DISCUSSION: By collecting multimodal imaging measures along with extensive behavioral measures from the same subjects, we are linking individual differences in neurochemistry, neural representation, and behavioral performance, rather than focusing solely on group differences between young and old participants. Our findings have the potential to inform new interventions for age-related declines. TRIAL REGISTRATION: This study was retrospectively registered with the ISRCTN registry on March 4, 2019. The registration number is ISRCTN17266136 .

Sensorimotor network segregation declines with age and is linked to GABA and to sensorimotor performance.

Aging is typically associated with declines in sensorimotor performance. Previous studies have linked some age-related behavioral declines to reductions in network segregation. For example, compared to young adults, older adults typically exhibit weaker functional connectivity within the same functional network but stronger functional connectivity between different networks. Based on previous animal studies, we hypothesized that such reductions of network segregation are linked to age-related reductions in the brain's major inhibitory transmitter, gamma aminobutyric acid (GABA). To investigate this hypothesis, we conducted graph theoretical analyses of resting state functional MRI data to measure sensorimotor network segregation in both young and old adults. We also used magnetic resonance spectroscopy to measure GABA levels in the sensorimotor cortex and collected a battery of sensorimotor behavioral measures. We report four main findings. First, relative to young adults, old adults exhibit both less segregated sensorimotor brain networks and reduced sensorimotor GABA levels. Second, less segregated networks are associated with lower GABA levels. Third, less segregated networks and lower GABA levels are associated with worse sensorimotor performance. Fourth, network segregation mediates the relationship between GABA and performance. These findings link age-related differences in network segregation to age-related differences in GABA levels and sensorimotor performance. More broadly, they suggest a neurochemical substrate of age-related dedifferentiation at the level of large-scale brain networks.

Age-Related Declines in Occipital GABA are Associated with Reduced Fluid Processing Ability.

RATIONALE AND OBJECTIVES: Healthy aging is associated with pervasive declines in cognitive, motor, and sensory functioning. There are, however, substantial individual differences in behavioral performance among older adults. Several lines of animal research link age-related reductions of gamma-aminobutyric acid (GABA), the brain's primary inhibitory neurotransmitter, to age-related cognitive, motor, and sensory decline. Our study used proton magnetic resonance spectroscopy (MRS) at 3T to explore whether occipital GABA declines with age in humans and whether individual differences in occipital GABA are linked to individual differences in fluid processing ability. MATERIALS AND METHODS: We used a MEGA-PRESS sequence that combines frequency spectral editing with a point-resolved spectroscopy sequence to quantify GABA. Spectra were obtained from a 30 × 30 × 25 mm voxel placed in the occipital cortex of 20 young adults (mean age 20.7 years) and 18 older adults (mean age 76.5 years). Participants also performed 11 fluid processing tasks outside the scanner, the results of which were z-scored and averaged to calculate a summary measure of fluid processing ability. Regression analysis was employed to determine the relationship between GABA concentrations in the occipital cortex and a summary measure of fluid processing ability. RESULTS: Occipital GABA was significantly lower in older participants compared to the younger participants. We also observed a significant positive relationship between occipital GABA and fluid processing ability. In fact, higher GABA was associated with better task performance in 10 of the 11 tasks. CONCLUSION: These findings suggest that GABA levels decline with age in humans and are associated with declines in fluid processing ability.

Building Imaging Institutes of Patient Care Outcomes: Imaging as a Nidus for Innovation in Clinical Care, Research, and Education.

Traditionally, radiologists have been responsible for the protocol of imaging studies, imaging acquisition, supervision of imaging technologists, and interpretation and reporting of imaging findings. In this article, we outline how radiology needs to change and adapt to a role of providing value-based, integrated health-care delivery. We believe that the way to best serve our specialty and our patients is to undertake a fundamental paradigm shift in how we practice. We describe the need for imaging institutes centered on disease entities (eg, lung cancer, multiple sclerosis) to not only optimize clinical care and patient outcomes, but also spur the development of a new educational focus, which will increase opportunities for medical trainees and other health professionals. These institutes will also serve as unique environments for testing and implementing new technologies and for generating new ideas for research and health-care delivery. We propose that the imaging institutes focus on how imaging practices-including new innovations-improve patient care outcomes within a specific disease framework. These institutes will allow our specialty to lead patient care, provide the necessary infrastructure for state-of-the art-education of trainees, and stimulate innovative and clinically relevant research.

How to Perform a Systematic Review and Meta-analysis of Diagnostic Imaging Studies.

A systematic review is a comprehensive search, critical evaluation, and synthesis of all the relevant studies on a specific (clinical) topic that can be applied to the evaluation of diagnostic and screening imaging studies. It can be a qualitative or a quantitative (meta-analysis) review of available literature. A meta-analysis uses statistical methods to combine and summarize the results of several studies. In this review, a 12-step approach to performing a systematic review (and meta-analysis) is outlined under the four domains: (1) Problem Formulation and Data Acquisition, (2) Quality Appraisal of Eligible Studies, (3) Statistical Analysis of Quantitative Data, and (4) Clinical Interpretation of the Evidence. This review is specifically geared toward the performance of a systematic review and meta-analysis of diagnostic test accuracy (imaging) studies.

A Simplified Approach to Encephalitis and Its Mimics: Key Clinical Decision Points in the Setting of Specific Imaging Abnormalities.

RATIONALE AND OBJECTIVES: Infectious encephalitis is a relatively common cause of morbidity and mortality. Treatment of infectious encephalitis with antiviral medication can be highly effective when administered promptly. Clinical mimics of encephalitis arise from a broad range of pathologic processes, including toxic, metabolic, neoplastic, autoimmune, and cardiovascular etiologies. These mimics need to be rapidly differentiated from infectious encephalitis to appropriately manage the correct etiology; however, the many overlapping signs of these various entities present a challenge to accurate diagnosis. A systematic approach that considers both the clinical manifestations and the imaging findings of infectious encephalitis and its mimics can contribute to more accurate and timely diagnosis. MATERIALS AND METHODS: Following an institutional review board approval, a health insurance portability and accountability act (HIPAA)-compliant search of our institutional imaging database (teaching files) was conducted to generate a list of adult and pediatric patients who presented between January 1, 1995 and October 10, 2013 for imaging to evaluate possible cases of encephalitis. Pertinent medical records, including clinical notes as well as surgical and pathology reports, were reviewed and correlated with imaging findings. Clinical and imaging findings were combined to generate useful flowcharts designed to assist in distinguishing infectious encephalitis from its mimics. Key imaging features were reviewed and were placed in the context of the provided flowcharts. RESULTS: Four flowcharts were presented based on the primary anatomic site of imaging abnormality: group 1: temporal lobe; group 2: cerebral cortex; group 3: deep gray matter; and group 4: white matter. An approach that combines features on clinical presentation was then detailed. Imaging examples were used to demonstrate similarities and key differences. CONCLUSIONS: Early recognition of infectious encephalitis is critical, but can be quite complex due to diverse pathologies and overlapping features. Synthesis of both the clinical and imaging features of infectious encephalitis and its mimics is critical to a timely and accurate diagnosis. The use of the flowcharts presented in this article can further enable both clinicians and radiologists to more confidently differentiate encephalitis from its mimics and improve patient care.

Striatal and Cortical ß-Amyloidopathy and Cognition in Parkinson's Disease.

INTRODUCTION: Although most previous cognitive studies of ß-amyloidopathy in PD focused on cortical plaque deposition, recent postmortem studies point to an important role of striatal ß-amyloid plaque deposition. The aim of this study was to investigate the relative contributions of striatal and cortical ß-amyloidopathy to cognitive impairment in PD. METHODS: Patients with PD (n = 62; age, 68.9 ± 6.4 years; H & Y stage: 2.7 ± 0.5; MoCA score: 25.2 ± 3.0) underwent [(11) C]Pittsburgh compound B ß-amyloid, [(11) C]dihydrotetrabenazine monoaminergic, and [(11) C]methyl-4-piperidinyl propionate acetylcholinesterase brain PET imaging and neuropsychological assessment. [(11) C]Pittsburgh compound B ß-amyloid data from young to middle-aged healthy subjects were used to define elevated [(11) C]Pittsburgh compound B binding in patients. RESULTS: Elevated cortical and striatal ß-amyloid deposition were present in 37% and 16%, respectively, of this predominantly nondemented cohort of patients with PD. Increased striatal ß-amyloid deposition occurred in half of all subjects with increased cortical ß-amyloid deposition. In contrast, increased striatal ß-amyloid deposition did not occur in the absence of increased cortical ß-amyloid deposition. Analysis of covariance using global composite cognitive z scores as the outcome parameter showed significant regressor effects for combined striatal and cortical ß-amyloidopathy (F = 4.18; P = 0.02) after adjusting for covariate effects of cortical cholinergic activity (F = 5.67; P = 0.02), caudate nucleus monoaminergic binding, duration of disease, and age (total model: F = 3.55; P = 0.0048). Post-hoc analysis showed significantly lower cognitive z score for combined striatal and cortical ß-amyloidopathy, compared to cortical-only ß-amyloidopathy and non-ß-amyloidopathy subgroups. CONCLUSIONS: The combined presence of striatal and cortical ß-amyloidopathy is associated with greater cognitive impairment than cortical ß-amyloidopathy alone in PD.

Amyloid deposition in Parkinson's disease and cognitive impairment: a systematic review.

BACKGROUND: Varying degrees of cortical amyloid deposition are reported in the setting of Parkinsonism with cognitive impairment. We performed a systematic review to estimate the prevalence of Alzheimer disease (AD) range cortical amyloid deposition among patients with Parkinson's disease with dementia (PDD), Parkinson's disease with mild cognitive impairment (PD-MCI) and dementia with Lewy bodies (DLB). We included amyloid positron emission tomography (PET) imaging studies using Pittsburgh Compound B (PiB). METHODS: We searched the databases Ovid MEDLINE, PubMed, Embase, Scopus, and Web of Science for articles pertaining to amyloid imaging in Parkinsonism and impaired cognition. We identified 11 articles using PiB imaging to quantify cortical amyloid. We used the metan module in Stata, version 11.0, to calculate point prevalence estimates of patients with "PiB-positive" studies, that is, patients showing AD range cortical Aß-amyloid deposition. Heterogeneity was assessed. A scatterplot was used to assess publication bias. RESULTS: Overall pooled prevalence of "PiB-positive" studies across all three entities along the spectrum of Parkinson's disease and impaired cognition (specifically PDD, PD-MCI, and DLB) was 0.41 (95% confidence interval [CI], 0.24-0.57). Prevalence of "PiB-positive" studies was 0.68 (95% CI, 0.55-0.82) in the DLB group, 0.34 (95% CI, 0.13-0.56) in the PDD group, and 0.05 (95% CI, -0.07-0.17) in the PD-MCI group. CONCLUSIONS: Substantial variability occurs in the prevalence of "PiB-positive" studies in subjects with Parkinsonism and cognitive impairment. Higher prevalence of PiB-positive studies was encountered among subjects with DLB as opposed to subjects with PDD. The PD-MCI subjects showed overall lower prevalence of PiB-positive studies than reported findings in non-PD-related MCI. © 2015 International Parkinson and Movement Disorder Society.

Imaging Amyloidopathy in Parkinson Disease and Parkinsonian Dementia Syndromes.

Dementia arising in patients with Parkinson disease or parkinsonian neurodegeneration comprises a heterogeneous neuropathology. Clinical labeling of patients with both dementia and Parkinson disease is dichotomous, depending on the temporal development of cognitive impairment and motor parkinsonism. Patients with dementia arising first (or within the first year of PD) are classified as dementia with Lewy bodies; patients with PD for more than one year before cognitive decline are classified as Parkinson disease with dementia. Despite this differential clinical classification, autopsy studies demonstrate variable admixtures of cortical synuicleinopathy, Aß-amyloidopathy and tau neurofibrillary tangle deposition. There are no routine clinical diagnostic measures that accurately distinguish the underlying neuropathologies in individual patients. In the present paper, we review the published literature describing characteristics of fibrillary Aß-amyloid deposition on the basis of PET radiotracer imaging in patients with Parkinson disease and in parkinsonian dementia syndromes. Although individual reports often include only small-to-modest subject numbers, there is overall suggestion that PD patients have a lower incidence of Aß-amyloid deposition than seen amongst elderly normal subjects, and that Parkinson disease with dementia patients have a lower incidence of Aß-amyloid deposition than do patients with dementia with Lewy bodies. These apparent features contrast the findings of Aß-amyloid-PET imaging in normal aging and the development of Alzheimer disease, where Aß-amyloid deposition arises asymptomatically and apparently many years before development of signs or symptoms of dementia. It is proposed that focused, prospective studies are needed to further address and understand the complex role(s) of Aß-amyloid pathology in Parkinson disease, and that this understanding will be critical to the development of targeted disease-modifying therapy for dementia in PD.

Frequency of cholinergic and caudate nucleus dopaminergic deficits across the predemented cognitive spectrum of Parkinson disease and evidence of interaction effects.

IMPORTANCE: Little is known about the relative contributions of multisystem degenerative processes across the spectrum of predemented cognitive decline in Parkinson disease (PD). OBJECTIVE: To investigate the relative frequency of caudate nucleus dopaminergic and forebrain cholinergic deficits across a spectrum of cognitively impaired patients with PD to explore their relative, individual, and combined contributions to cognitive impairment in PD. DESIGN, SETTING, AND PARTICIPANTS: A cross-sectional study at an academic movement disorders clinic that included a predominantly nondemented cohort of 143 patients with PD. The mean (SD) age of patients was 65.5 (7.4) years and the mean (SD) Hoehn and Yahr stage was 2.4 (0.6). MAIN OUTCOMES AND MEASURES: Binary classification of carbon 11-labeled [11C]PMP acetylcholinesterase and caudate nucleus [11C]DTBZ monoaminergic positron-emission tomography imaging based on normative data. The frequency of significant degenerative processes based on normative values was determined for consecutive intervals of cognitive impairment, ranging from no or minimal (z > -0.5) to more severe (z ≤ -2) cognitive impairment. RESULTS: Across the spectrum from minimal (z > -0.5) to more severe (z ≤ -2) global cognitive impairment scores, caudate nucleus dopaminergic denervation was relatively frequent in individuals with minimal or no cognitive changes (51.1%) and increased in patients with more severe cognitive impairments (χ2 = 12.8; P = .01). Cortical cholinergic denervation frequency increased monotonically with increasing cognitive impairment from 24.7% (z > -0.5) to 85.7% (z ≤ -2); χ2 = 23.2; P = .001). Eighty-seven percent of patients with neocortical cholinergic deficits had caudate nucleus dopaminergic deficits. Multiple regression analysis (F = 7.51; P < .001) showed both independent cognitive predictions for caudate nucleus dopaminergic (F = 7.25; P = .008) and cortical cholinergic (F = 7.50; P = .007) degenerations as well as interaction effects (F = 5.40; P = .02). CONCLUSIONS AND RELEVANCE: Cortical cholinergic denervation is a major neurodegeneration associated with progressive declines across the spectrum of cognitive impairment in PD and typically occurs in the context of significant caudate nucleus dopaminergic denervation. Our findings imply that dopaminergic and cholinergic degenerations exhibit both independent and interactive contributions to cognitive impairment in PD.

Diabetes mellitus is independently associated with more severe cognitive impairment in Parkinson disease.

BACKGROUND: There is increasing interest in interactions between metabolic syndromes and neurodegeneration. Diabetes mellitus (DM) contributes to cognitive impairment in the elderly but its effect in Parkinson disease (PD) is not well studied. OBJECTIVE: To investigate effects of comorbid DM on cognition in PD independent from PD-specific primary neurodegenerations. METHODS: Cross-sectional study. Patients with PD (n = 148); age 65.6 ± 7.4 years, Hoehn and Yahr stage 2.4 ± 0.6, with (n = 15) and without (n = 133) comorbid type II DM, underwent [(11)C]methyl-4-piperidinyl propionate (PMP) acetylcholinesterase (AChE) PET imaging to assess cortical cholinergic denervation, [(11)C]dihydrotetrabenazine (DTBZ) PET imaging to assess nigrostriatal denervation, and neuropsychological assessments. A global cognitive Z-score was calculated based on normative data. Analysis of covariance was performed to determine cognitive differences between subjects with and without DM while controlling for nigrostriatal denervation, cortical cholinergic denervation, levodopa equivalent dose and education covariates. RESULTS: There were no significant differences in age, gender, Hoehn and Yahr stage or duration of disease between diabetic and non-diabetic PD subjects. There was a non-significant trend toward lower years of education in the diabetic PD subjects compared with non-diabetic PD subjects. PD diabetics had significantly lower mean (±SD) global cognitive Z-scores (-0.98 ± 1.01) compared to the non-diabetics (-0.36 ± 0.91; F = 7.78, P = 0.006) when controlling for covariate effects of education, striatal dopaminergic denervation, and cortical cholinergic denervation (total model F = 8.39, P < 0.0001). CONCLUSION: Diabetes mellitus is independently associated with more severe cognitive impairment in PD likely through mechanisms other than disease-specific neurodegenerations.

Multimodal MRI as a diagnostic biomarker for amyotrophic lateral sclerosis.

OBJECTIVE: Reliable biomarkers for amyotrophic lateral sclerosis (ALS) are needed, given the clinical heterogeneity of the disease. Here, we provide proof-of-concept for using multimodal magnetic resonance imaging (MRI) as a diagnostic biomarker for ALS. Specifically, we evaluated the added diagnostic utility of proton magnetic resonance spectroscopy (MRS) to diffusion tensor imaging (DTI). METHODS: Twenty-nine patients with ALS and 30 age- and gender-matched healthy controls underwent brain MRI which used proton MRS including spectral editing techniques to measure γ-aminobutyric acid (GABA) and DTI to measure fractional anisotropy of the corticospinal tract. Data were analyzed using logistic regression, t-tests, and generalized linear models with leave-one-out analysis to generate and compare the resulting receiver operating characteristic (ROC) curves. RESULTS: The diagnostic accuracy is significantly improved when the MRS data were combined with the DTI data as compared to the DTI data only (area under the ROC curves (AUC) = 0.93 vs. AUC = 0.81; P = 0.05). The combined MRS and DTI data resulted in sensitivity of 0.93, specificity of 0.85, positive likelihood ratio of 6.20, and negative likelihood ratio of 0.08 whereas the DTI data only resulted in sensitivity of 0.86, specificity of 0.70, positive likelihood ratio of 2.87, and negative likelihood ratio of 0.20. INTERPRETATION: Combining multiple advanced neuroimaging modalities significantly improves disease discrimination between ALS patients and healthy controls. These results provide an important step toward advancing a multimodal MRI approach along the diagnostic test development pathway for ALS.

In vivo imaging of human cholinergic nerve terminals with (-)-5-(18)F-fluoroethoxybenzovesamicol: biodistribution, dosimetry, and tracer kinetic analyses.

UNLABELLED: (-)-5-(18)F-fluoroethoxybenzovesamicol ((18)F-FEOBV) is a vesamicol derivative that binds selectively to the vesicular acetylcholine transporter (VAChT) and has been used in preclinical studies to quantify presynaptic cholinergic nerve terminals. This study presents, to our knowledge, the first-in-human experience with (18)F-FEOBV, including radiation dosimetry, biodistribution, tolerability and safety in human subjects, and brain kinetics and methods for quantitative analysis of (18)F-FEOBV. METHODS: Whole-body (18)F-FEOBV scans were obtained in 3 healthy human volunteers. Seven additional subjects underwent dynamic brain imaging 0-120, 150-180, and 210-240 min after bolus injection of (18)F-FEOBV. Arterial blood sampling was performed with chromatographic identification of authentic (18)F-FEOBV to determine the arterial plasma input function. Analysis methods included nonlinear least-squares fitting of a 2-tissue-compartmental model, reference tissue modeling, and late single-scan imaging. RESULTS: No pharmacologic or physiologic changes were observed after intravenous administration of up to 1.3 µg of (18)F-FEOBV. Radiation dosimetry estimates indicate that more than 400 MBq may be administered without exceeding regulatory radiation dose limits. Kinetic analysis showed brain uptake to be relatively high with single-pass extraction of 25%-35%. VAChT binding estimates varied by a factor of greater than 30 between the striatum and cortex. Coefficients of variation in k3 estimates varied from 15% to 30%. Volume of distribution measures yielded a dynamic range of approximately 15 but with little reduction in variability. Reference tissue approaches yielded more stable estimates of the distribution volume ratio (1 + BPND), with coefficients of variation ranging from 20% in the striatum to 6%-12% in cortical regions. The late static distribution of (18)F-FEOBV correlated highly with the distribution volume ratio estimates from reference tissue models (r = 0.993). CONCLUSION: (18)F-FEOBV PET confirms that the tracer binds to VAChT with the expected in vivo human brain distribution. Both reference tissue modeling and late static scanning approaches provide a robust index of VAChT binding.

Pregabalin rectifies aberrant brain chemistry, connectivity, and functional response in chronic pain patients.

BACKGROUND: Chronic pain remains a significant challenge for modern health care as its pathologic mechanisms are largely unknown and preclinical animal models suffer from limitations in assessing this complex subjective experience. However, human brain neuroimaging techniques enable the assessment of functional and neurochemical alterations in patients experiencing chronic pain and how these factors may dynamically change with pharmacologic treatment. METHODS: To identify the clinical action of pregabalin, a proven analgesic, the authors performed three complementary brain neuroimaging procedures: (proton magnetic resonance spectroscopy, functional magnetic resonance imaging, and functional connectivity magnetic resonance imaging) in 17 chronic pain patients diagnosed with fibromyalgia. RESULTS: The authors found that pregabalin but not placebo reduces combined glutamate + glutamine levels within the posterior insula (pregabalin P = 0.016; placebo P = 0.71). Interestingly, reductions in clinical pain were associated with reductions in brain connectivity of this structure to brain regions within the default mode network during pregabalin (r = 0.82; P = 0.001) but not placebo (r = -0.13; P = 0.63). Response of default mode network regions to experimental pain was also reduced with pregabalin (P = 0.018) but not placebo (P = 0.182). Perhaps most importantly, baseline values for all three neuroimaging markers predicted subsequent analgesic response to pregabalin but not placebo. CONCLUSIONS: The results of this study suggest that pregabalin works in part by reducing insular glutamatergic activity, leading to a reduction of the increased functional connectivity seen between brain regions in chronic pain states. The study also supports a role for human brain imaging in the development, assessment, and personalized use of central-acting analgesics.

Diagnostic accuracy of diffusion tensor imaging in amyotrophic lateral sclerosis: a systematic review and individual patient data meta-analysis.

RATIONALE AND OBJECTIVES: There have been a large number of case-control studies using diffusion tensor imaging (DTI) in amyotrophic lateral sclerosis (ALS). The objective of this study was to perform an individual patient data (IPD) meta-analysis for the estimation of the diagnostic accuracy measures of DTI in the diagnosis of ALS using corticospinal tract data. MATERIALS AND METHODS: MEDLINE, EMBASE, CINAHL, and Cochrane databases (1966-April 2011) were searched. Studies were included if they used DTI region of interest or tractography techniques to compare mean cerebral corticospinal tract fractional anisotropy values between ALS subjects and healthy controls. Corresponding authors from the identified articles were contacted to collect individual patient data. IPD meta-analysis and meta-regression were performed using Stata. Meta-regression covariate analysis included age, gender, disease duration, and Revised Amyotrophic Lateral Sclerosis Functional Rating Scale scores. RESULTS: Of 30 identified studies, 11 corresponding authors provided IPD and 221 ALS patients and 187 healthy control subjects were available for study. Pooled area under the receiver operating characteristic curve (AUC) was 0.75 (95% CI: 0.66-0.83), pooled sensitivity was 0.68 (95% CI: 0.62-0.75), and pooled specificity was 0.73 (95% CI: 0.66-0.80). Meta-regression showed no significant differences in pooled AUC for each of the covariates. There was moderate to high heterogeneity of pooled AUC estimates. Study quality was generally high. Data from 19 of the 30 eligible studies were not ascertained, raising possibility of selection bias. CONCLUSION: Using corticospinal tract individual patient data, the diagnostic accuracy of DTI appears to lack sufficient discrimination in isolation. Additional research efforts and a multimodal approach that also includes ALS mimics will be required to make neuroimaging a critical component in the workup of ALS.

An imbalance between excitatory and inhibitory neurotransmitters in amyotrophic lateral sclerosis revealed by use of 3-T proton magnetic resonance spectroscopy.

IMPORTANCE: A lack of neuroinhibitory function may result in unopposed excitotoxic neuronal damage in amyotrophic lateral sclerosis (ALS). OBJECTIVE: To determine whether there are reductions in γ-aminobutyric acid (GABA) levels and elevations in glutamate-glutamine (Glx) levels in selected brain regions of patients with ALS by use of proton magnetic resonance spectroscopy. DESIGN: Case-control study using short echo time and GABA-edited proton magnetic resonance spectroscopy at 3 T with regions of interest in the left motor cortex, left subcortical white matter, and pons; data analyzed using logistic regression, t tests, and Pearson correlations; and post hoc analyses performed to investigate differences between riluzole-naive and riluzole-treated patients with ALS. SETTING: Tertiary referral center. PARTICIPANTS: Twenty-nine patients with ALS and 30 age- and sex-matched healthy controls. EXPOSURE: Fifteen patients were taking 50 mg of riluzole twice a day as part of their routine clinical care for ALS. MAIN OUTCOMES AND MEASURES: Levels of GABA, Glx, choline (a marker of cell membrane turnover), creatine (a marker of energy metabolism), myo-inositol (a marker of glial cells), and N-acetylaspartate (a marker of neuronal integrity). RESULTS: Patients with ALS had significantly lower levels of GABA in the motor cortex than did healthy controls (P < .01). Patients with ALS also had significantly lower levels of N-acetylaspartate in the motor cortex (P < .01), subcortical white matter (P < .05), and pons (P < .01) and higher levels of myo-inositol in the motor cortex (P < .001) and subcortical white matter (P < .01) than did healthy controls. Riluzole-naive patients with ALS had higher levels of Glx than did riluzole-treated patients with ALS (P < .05 for pons and motor cortex) and healthy controls (P < .05 for pons and motor cortex). Riluzole-naive patients with ALS had higher levels of creatine in the motor cortex (P < .001 for both comparisons) and subcortical white matter (P ≤ .05 for both comparisons) than did riluzole-treated patients with ALS and healthy controls. Riluzole-naive patients with ALS had higher levels of N-acetylaspartate in the motor cortex than did riluzole-treated patients with ALS (P < .01). CONCLUSIONS AND RELEVANCE: There are reduced levels of GABA in the motor cortex of patients with ALS. There are elevated levels of Glx in riluzole-naive patients with ALS compared with riluzole-treated patients with ALS and healthy controls. These results point to an imbalance between excitatory and inhibitory neurotransmitters as being important in the pathogenesis of ALS and an antiglutamatergic basis for the effects of riluzole, although additional research efforts are needed.

ß-Amyloid and postural instability and gait difficulty in Parkinson's disease at risk for dementia.

Although motor impairments in Parkinson's disease (PD) are attributed to nigrostriatal dopaminergic denervation, postural instability and gait difficulty (PIGD) features are less responsive to dopaminergic medications. PIGD features are a risk factor also for the development of dementia in PD (PDD). These observations suggest that nondopaminergic mechanisms may contribute to axial motor impairments. The aim was to perform a correlative PET study to examine the relationship between neocortical ß-amyloid deposition ([(11)C]-Pittsburgh Compound B), nigrostriatal dopaminergic denervation ([(11)C]-dihydrotetrabenazine), and PIGD feature severity in PD patients at risk for dementia. This was a cross-sectional study of 44 PD patients (11 female and 33 male; 69.5 ± 6.6 years of age; 7.0 ± 4.8 years motor disease duration; mean H & Y stage: 2.7 ± 0.5) who underwent PET, motor feature severity assessment using the Movement Disorder Society revised UPDRS, and the Dementia Rating Scale (DRS). Linear regression (R(2)(adj) = 0.147; F(4,39) = 2.85; P = 0.036) showed that increased PIGD feature severity was associated with increased neocortical [(11)C]-Pittsburgh Compound B binding (ß = 0.346; t(39) = 2.13; P = 0.039) while controlling for striatal [(11)C]-dihydrotetrabenazine binding, age, and DRS total score. Increased neocortical ß-amyloid deposition, even at low-range levels, is associated with higher PIGD feature severity in PD patients at risk for dementia. This finding may explain why the PIGD motor phenotype is a risk factor for the development of PDD.

Aß-amyloid deposition in patients with Parkinson disease at risk for development of dementia.

OBJECTIVE: The aim of our study was to examine the relationship between corticostriatal Aß-amyloid deposition and cognitive dysfunction in a cohort of patients with Parkinson disease (PD) at risk for dementia. METHODS: This was a cross-sectional study of 40 patients with PD with mild cognitive impairment (MCI) or other known dementia risk factors. Subjects underwent dynamic Aß-amyloid and vesicular monoamine transporter 2 PET imaging using [(11)C] Pittsburgh compound B (PiB) and [(11)C]dihydrotetrabenazine (DTBZ), respectively, and neuropsychological assessment. PiB and DTBZ PET data were analyzed using the Logan graphical method to determine cerebral PiB deposition relative to the cerebellar hemispheres and striatal DTBZ binding relative to occipital neocortex. Component z scores were calculated for individual cognitive domains (memory, visuospatial processing, working memory/attention, and executive function) and combined linearly for global estimation of cognition. Correlation of cognitive function and cortical PiB binding was investigated. RESULTS: Elevated cerebral PiB binding at levels seen in patients with AD was infrequent (6 of 40 subjects). Mean cortical PiB binding in the entire cohort was 1.16 ± 0.16 (distribution volume ratio; range 0.96-1.78). A significant correlation was noted between cortical PiB binding and global composite cognitive function (r = -0.55, p < 0.005) as well as the Wechsler Adult Intelligence Scale score (r = -0.54, p = 0.0004). CONCLUSION: Elevated cerebral Aß-amyloid deposition at levels seen in Alzheimer disease is uncommon in subjects with PD at risk for dementia. In our sample, the prevalence of markedly elevated PiB binding was significantly lower than that found in prior studies of cognitively normal elderly individuals. Neocortical PiB binding correlated robustly with measures of cognitive impairment in our cohort.

Diagnostic accuracy using diffusion tensor imaging in the diagnosis of ALS: a meta-analysis.

RATIONALE AND OBJECTIVES: A number of studies have reported decreases in fractional anistropy (FA) in amyotrophic lateral sclerosis using diffusion tensor imaging (DTI). The purpose of this study was to perform a meta-analysis in order to estimate the diagnostic test accuracy measures of DTI for the diagnosis of amyotrophic lateral sclerosis (ALS). MATERIALS AND METHODS: We searched MEDLINE (1966-April 2011), EMBASE (1999-April 2011), CINAHL (1999-April 2011), and Cochrane (2005-April 2011) databases to identify studies that measured FA in ALS subjects. Human, single-center studies using a DTI region of interest (ROI) or tractography techniques were used to compare FA values along the brain corticospinal tracts between ALS subjects and healthy controls. There were no language restrictions. Independent extraction of articles by 2 authors using predefined data fields including study quality indicators. We identified 30 case-control studies that used region of interest or tractography DTI techniques. We applied binormal receiver operative characteristic (ROC) curve analysis to assign specificity and sensitivity for each study. We applied the bivariate mixed-effects regression model using the Markov Chain Monte Carlo Simulation to calculate summary estimates for the sensitivity and specificity. We used the metan module in Stata, version 11.0, to calculate the area under the ROC curve, diagnostic odds ratio and the test effectiveness summary estimates. RESULTS: The pooled sensitivity was 0.65 (95% CI 0.61-0.69); the pooled specificity, 0.67 (95% CI 0.63-0.72); the pooled diagnostic odds ratio, 1.88 (95% CI 1.46-2.30); the pooled test effectiveness, 1.04 (95% CI 0.81-1.27); and the pooled area under the ROC curve, 0.76 (95% CI 0.71-0.81). Subanalyses comparing magnetic resonance imaging (MRI) field strength (1.5T vs. 3.0T) and brain location (corticospinal tract average vs. internal capsule) revealed no significant differences in the test accuracy measures. Reference standard used for the diagnosis of ALS was the El Escorial criteria. There was at least moderate heterogeneity between the studies. True study quality is uncertain. CONCLUSION: The discriminatory capability of DTI to make a diagnosis of ALS is only modest. There were no significant differences in the diagnostic test accuracy summary estimates with respect to MRI field strength or brain location.