Two-dimensional spectroscopy of γ-aminobutyric acid on a clinical MRI scanner

Measurement of the cerebral metabolite y-aminobutyric acid (GABA) has been performed on clinical MRI scanners using a variety of magnetic resonance spectroscopy (MRS) techniques. MRS studies of GABA are difficult, especially at 1.5T due to low in-vivo concentrations and overlapping of higher concentration metabolites. Unlike spectral editing methods, two-dimensional (2D) MRS allows the simultaneous measurement of GABA and other, more traditional metabolites. This work evaluates three implementations of 2D MRS for both in-vitro and in-vivo GABA measurement on a clinical MRI scanner.Existing spectroscopy sequences were used to develop a protocol for performing 2D Jresolved MRS without a dedicated sequence. GABA was measured in-vitro at concentrations approaching normal physiological levels and volunteer results allowed assignment of the 3.01ppm GABA resonance at its J-coupling frequency (7.4Hz). However, the prolonged scan time of over two hours prevented practical application of this approach.A far more efficient method of acquiring 2D J-resolved spectra is achieved with a dedicated 2D J-resolved sequence. An optimised set of acquisition parameters was produced to allow GABA measurement with maximum SNR, and without macromolecule contamination, in 35 minutes. Since the reproducibility of the sequence must be sufficient to detect physiological changes, a formal reproducibility study was performed acquiring three measures of reproducibility at six concentrations of GABA, using a standard volume head coil, 3"- and 5"- surface coils. To our knowledge, this is the first such reproducibility study dedicated to 2D J-resolved GABA measurement, and as such, could have significant implications on the interpretation of in-vivo results. In-vivo 2D J-resolved spectra were acquired and compared well to the published results, allowing assignment of the 3.0Ippm GABA (plus macromolecule) peak (J = 7.4Hz). In the first reported 2D J-resolved spectra specifically designed to reduce the macromolecule contribution by optimising the echo time range, assignment of the in-vivo 3.01 ppm GABA peak was less convincing.As an alternative to 2D J-resolved spectroscopy, preliminary testing of 2D correlation spectroscopy (COSY) showed that it was not as sensitive or robust for either in-vitro or invivo GABA measurement. Although provisional assignment of the 3.01 ppm GABA peak was made, in their current form, neither technique is suitable for pure GABA measurement at 1.5T

Relationships between brain and body temperature, clinical and imaging outcomes after ischemic stroke

Pyrexia soon after stroke is associated with severe stroke and poor functional outcome. Few studies have assessed brain temperature after stroke in patients, so little is known of its associations with body temperature, stroke severity, or outcome. We measured temperatures in ischemic and normal-appearing brain using (1)H-magnetic resonance spectroscopy and its correlations with body (tympanic) temperature measured four-hourly, infarct growth by 5 days, early neurologic (National Institute of Health Stroke Scale, NIHSS) and late functional outcome (death or dependency). Among 40 patients (mean age 73 years, median NIHSS 7, imaged at median 17 hours), temperature in ischemic brain was higher than in normal-appearing brain on admission (38.6°C-core, 37.9°C-contralateral hemisphere, P=0.03) but both were equally elevated by 5 days; both were higher than tympanic temperature. Ischemic lesion temperature was not associated with NIHSS or 3-month functional outcome; in contrast, higher contralateral normal-appearing brain temperature was associated with worse NIHSS, infarct expansion and poor functional outcome, similar to associations for tympanic temperature. We conclude that brain temperature is higher than body temperature; that elevated temperature in ischemic brain reflects a local tissue response to ischemia, whereas pyrexia reflects the systemic response to stroke, occurs later, and is associated with adverse outcomes

Assessment of the impact of the scanner-related factors on brain morphometry analysis with Brainvisa.

BACKGROUND: Brain morphometry is extensively used in cross-sectional studies. However, the difference in the estimated values of the morphometric measures between patients and healthy subjects may be small and hence overshadowed by the scanner-related variability, especially with multicentre and longitudinal studies. It is important therefore to investigate the variability and reliability of morphometric measurements between different scanners and different sessions of the same scanner. METHODS: We assessed the variability and reliability for the grey matter, white matter, cerebrospinal fluid and cerebral hemisphere volumes as well as the global sulcal index, sulcal surface and mean geodesic depth using Brainvisa. We used datasets obtained across multiple MR scanners at 1.5 T and 3 T from the same groups of 13 and 11 healthy volunteers, respectively. For each morphometric measure, we conducted ANOVA analysis and verified whether the estimated values were significantly different across different scanners or different sessions of the same scanner. The between-centre and between-visit reliabilities were estimated from their contribution to the total variance, using a random-effects ANOVA model. To estimate the main processes responsible for low reliability, the results of brain segmentation were compared to those obtained using FAST within FSL. RESULTS: In a considerable number of cases, the main effects of both centre and visit factors were found to be significant. Moreover, both between-centre and between-visit reliabilities ranged from poor to excellent for most morphometric measures. A comparison between segmentation using Brainvisa and FAST revealed that FAST improved the reliabilities for most cases, suggesting that morphometry could benefit from improving the bias correction. However, the results were still significantly different across different scanners or different visits. CONCLUSIONS: Our results confirm that for morphometry analysis with the current version of Brainvisa using data from multicentre or longitudinal studies, the scanner-related variability must be taken into account and where possible should be corrected for. We also suggest providing some flexibility to Brainvisa for a step-by-step analysis of the robustness of this package in terms of reproducibility of the results by allowing the bias corrected images to be imported from other packages and bias correction step be skipped, for example.RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are

Genetic risk for white matter abnormalities in bipolar disorder

White matter deficits have been demonstrated in people with bipolar disorder, schizophrenia and their unaffected relatives. These deficits are supported by evidence from post-mortem studies, including microarray investigations which have repeatedly implicated abnormal myelin-associated gene expression. Furthermore, several risk-associated genes have now been identified that encode for proteins which have effects on white matter integrity. These genes include neuregulin-1 (NRG1) polymorphisms of which have been associated with risk to bipolar disorder. NRG1 has been shown to have effects on axonal migration, myelination and oligodendrocyte function. We and others have also shown that 5' risk-associated genetic variants in NRG1 are associated with reductions in both white matter density and integrity in regions associated with prefrontal connectivity. These findings are discussed in the context of the current literature, along with possible future research directions

White matter tractography in bipolar disorder and schizophrenia

BACKGROUND: Abnormalities of white matter integrity have been repeatedly demonstrated in both schizophrenia and bipolar disorder with voxel based methods. Because these methods are limited in their ability to localize deficits to specific tracts, we sought to investigate alterations in fractional anisotropy (FA) in the uncinate fasciculus and anterior thalamic radiation with probabilistic tractography. METHODS: Individuals with schizophrenia (n = 25) or bipolar disorder (n = 40) were recruited from families with two or more affected members and age-matched to a control group (n = 49). All participants underwent diffusion tensor magnetic resonance imaging that was subsequently analyzed with probabilistic tractography. Mean FA was calculated bilaterally for the uncinate and anterior thalamic radiation and compared between groups with repeated measures analysis of variance. RESULTS: Patients with schizophrenia or bipolar disorder showed common reductions in the uncinate fasciculus and anterior thalamic radiation. These reductions were unrelated to age, duration of illness, current medication, or current psychiatric symptoms in all patients or the lifetime presence of psychotic symptoms in bipolar subjects. CONCLUSIONS: Patients with schizophrenia or bipolar disorder show common abnormalities in the uncinate fasciculus and anterior thalamic radiation that fail to respect traditional diagnostic boundaries. These deficits might be related to shared risk factors and disease mechanisms common to both disorders

Power Calculations for Multicenter Imaging Studies Controlled by the False Discovery Rate

Magnetic resonance imaging (MRI) is widely used in brain imaging research (neuroimaging) to explore structural and functional changes across dispersed neural networks visible only via multisubject experiments. Multicenter investigations are an effective way to increase recruitment rates. This article describes image-based power calculations for a two-group, cross-sectional design specified by the mean effect size and its standard error, sample size, false discovery rate (FDR), and size of the network (i.e., proportion of image locations) that truly demonstrates an effect. Minimum sample size (for fixed effect size) and the minimum effect size (for fixed sample size) are calculated by specifying the acceptable power threshold. Within-center variance was estimated in five participating centers by repeat MRI scanning of 12 healthy participants from whom distributions of gray matter were estimated. The effect on outcome measures when varying FDR and the proportion of true positives is presented. Their spatial patterns reflect within-center variance, which is consistent across centers. Sample sizes 3-6 times larger are needed when detecting effects in subcortical regions compared to the neocortex. Hypothesized multicenter studies of patients with first episode psychosis and control participants were simulated with varying proportions of the cohort recruited at each center. There is little penalty to sample size for recruitment at five centers compared to the center with the lowest variance alone. At 80% power 80 participants per group are required to observe differences in gray matter in high variance regions

White matter abnormalities in bipolar disorder and schizophrenia detected using diffusion tensor magnetic resonance imaging

OBJECTIVES: Strong qualitative and quantitative evidence exists of white matter abnormalities in both schizophrenia and bipolar disorder (BD). Diffusion tensor imaging (DTI) studies suggest altered connectivity in both disorders. We aim to address the diagnostic specificity of white matter abnormalities in these disorders. METHODS: DTI was used to assess white matter integrity in clinically stable patients with familial BD (n = 42) and familial schizophrenia (n = 28), and in controls (n = 38). Differences in fractional anisotropy (FA) were measured using voxel-based morphometry and automated region of interest analysis. RESULTS: Reduced FA was found in the anterior limb of the internal capsule (ALIC), anterior thalamic radiation (ATR), and in the region of the uncinate fasciculus in patients with BD and those with schizophrenia compared with controls. A direct comparison between patient groups found no significant differences in these regions. None of the findings were associated with psychotropic medication. CONCLUSIONS: Reduced integrity of the ALIC, uncinate fasciculus, and ATR regions is common to both schizophrenia and BD. These results imply an overlap in white matter pathology, possibly relating to risk factors common to both disorders

The neuro/PsyGRID calibration experiment:Identifying sources of variance and bias in multicenter MRI studies

Calibration experiments precede multicenter trials to identify potential sources of variance and bias. In support of future imaging studies of mental health disorders and their treatment, the Neuro/PsyGRID consortium commissioned a calibration experiment to acquire functional and structural MRI from twelve healthy volunteers attending five centers on two occasions. Measures were derived of task activation from a working memory paradigm, fractal scaling (Hurst exponent) from resting fMRI, and grey matter distributions from T(1) -weighted sequences. At each intracerebral voxel a fixed-effects analysis of variance estimated components of variance corresponding to factors of center, subject, occasion, and within-occasion order, and interactions of center-by-occasion, subject-by-occasion, and center-by-subject, the latter (since there is no intervention) a surrogate of the expected variance of the treatment effect standard error across centers. A rank order test of between-center differences was indicative of crossover or noncrossover subject-by-center interactions. In general, factors of center, subject and error variance constituted >90% of the total variance, whereas occasion, order, and all interactions were generally <5%. Subject was the primary source of variance (70%-80%) for grey-matter, with error variance the dominant component for fMRI-derived measures. Spatially, variance was broadly homogenous with the exception of fractal scaling measures which delineated white matter, related to the flip angle of the EPI sequence. Maps of P values for the associated F-tests were also derived. Rank tests were highly significant indicating the order of measures across centers was preserved. In summary, center effects should be modeled at the voxel-level using existing and long-standing statistical recommendations

Relationship of catechol-o-methyltransferase variants to brain structure and function in a population at high risk of psychosis

BACKGROUND: There is growing evidence that the gene catechol-O-methyltransferase (COMT) is involved in the etiopathogenesis of schizophrenia. This study sought to clarify the effects of the COMT Val158Met polymorphism on brain structure, function, and risk of developing schizophrenia in a well-characterized cohort of individuals at high risk of schizophrenia for familial reasons. METHODS: In a sample of 78 people at high genetic risk of schizophrenia, the risk of progression to schizophrenia associated with the COMT Val allele was estimated. The relationship of the Val allele to brain structure and function was investigated using structural magnetic resonance imaging (sMRI) and functional magnetic resonance imaging (fMRI) data collected on the high-risk subjects before their disease outcome was known. RESULTS: The COMT Val allele increased the risk of schizophrenia in this cohort in a dose-dependent manner. Subjects with the COMT Val allele had reduced gray matter density in anterior cingulate cortex. In addition, there was evidence of increased activation in lateral prefrontal cortex and anterior and posterior cingulated, with increasing sentence difficulty in those with the COMT Val allele despite a similar level of performance. CONCLUSIONS: The COMT Val allele is associated with an increased risk of schizophrenia in subjects at increased familial risk, in whom it has demonstrable effects on prefrontal brain structure and function. These patterns of altered brain structure and function have previously been associated with schizophrenia in this and other sample