Voxel-based relaxometry: a new approach for analysis of T2 relaxometry changes in epilepsy

The measurement of the T2 relaxation time (T2 relaxometry) had been established as a reliable tool for the assessment of certain conditions such as temporal lobe epilepsy. The standard procedure for analysis of T2 data uses manually drawn regions of interest (ROIs). This approach is limited by its subjective nature and its restricted scope of investigation within selected regions of the brain. In this study, we introduce a voxel-based analysis approach termed voxel-based relaxometry (VBR). Tissue signal changes were assessed in 19 patients with hippocampal sclerosis (HS) and in 38 healthy controls using (i) conventional ROI-based analysis with several bilateral ROIs and also (ii) the VBR method in which the T2 maps are warped to a stereotactic space, smoothed and statistically compared. Conventional ROI analysis identified the expected T2 increase in the sclerotic hippocampus in all HS patients. Furthermore, 13 of the 19 patients displayed a T2 increase in at least one of the other ROIs. The VBR analysis showed a similar pattern of statistically significant areas of increased T2 within the sclerotic hippocampus. In addition, extrahippocampal areas of increased T2 were apparent including the anterior temporal lobe white matter and the parahippocampal gyrus. The results of the VBR analysis are in agreement with the conventional ROI analysis. The VBR analysis has the advantage of providing an even-handed assessment of T2 differences through the brain. We recommend VBR as an alternative means of relaxometry data analysis that provides an objective assessment of differences between subjects.     

MRI脑灰质形态学分析在双重病理所致颞叶癫痫的应用

目的应用基于体素形态学(VBM)及基于表面形态学(SBM)分析,探讨双重病理所致颞叶癫痫磁共振成像(MRI)脑灰质结构变化。方法收集病理确诊为海马硬化(HS)合并局灶性皮质发育不良(FCD)的双重病理颞叶癫痫患者36例(左侧癫痫组20例、右侧癫痫组16例)及健康对照组30例行MRI T_1WI 3D BRAVO序列扫描,使用SPM及Freesurfer软件分别进行灰质体积及皮层厚度、皮层表面积分析,并采用独立样本t检验获得有统计学差异脑区。结果左、右侧癫痫组与对照组比较,病侧大部分颞叶(含海马)灰质体积减小,左侧癫痫组同侧丘脑及杏仁核灰质体积减小,其差异均有显著统计学意义(FDR校正,P0.001,K≥20体素)。癫痫组均出现部分颞叶及颞叶以外脑区皮层增厚,但左、右侧癫痫组异常脑区存在不同;同时癫痫组病变侧颞叶脑区皮层表面积减小,上述差异均具有统计学意义(未校正,P0.01,顶点数≥100)。结论HS合并FCD致颞叶癫痫病变侧颞叶(含海马)灰质体积广泛缩小为主要形态学特征,皮层表面积减小对病变定侧也有一定作用,单纯通过皮层增厚观察双重病理中FCD存在一定局限性。     

Voxel-by-voxel comparison of automatically segmented cerebral gray matter--A rater-independent comparison of structural MRI in patients with epilepsy.

Quantitative evaluation of MRI in patients with epilepsy can give more information than qualitative assessment. Previously developed volume-of-interest-based methods identified subtle widespread structural changes in the neocortex beyond the visualized lesions in patients with malformations of cortical development (MCD) and hippocampal sclerosis (HS) and also in MRI-negative patients with juvenile myoclonic epilepsy (JME). This study evaluates a voxel-based automated analysis of structural MRI in epilepsy. After fully automated segmentation of cerebral gray matter from structural T1-weighted, high-resolution MRI scans, we applied the automated and objective technique of statistical parametric mapping (SPM) to the analysis of gray matter of 35 control subjects, 10 patients with partial seizures and MCD, 10 patients with left temporal lobe epilepsy (TLE) and HS, 10 patients with left TLE and normal MR quantitation of the hippocampus, and 20 patients with JME. At a corrected threshold of P < 0.05, significant abnormalities were found in 3/35 controls; in all 10 patients with MCD, 6 of whom had additional lesions beyond the margins of the visualized abnormalities; in 2/10 TLE patients with HS; in 2/10 MRI-negative TLE; and in 4/20 JME patients. Group comparisons between control subjects and HS patients identified the affected left temporal lobe with an increase in gray matter in the posterior temporal lobe, but did not identify hippocampal atrophy. The group of MRI-negative TLE patients showed no abnormalities compared with control subjects. Group comparison between control subjects and JME patients identified a mesial frontal increase in gray matter. The SPM-based voxel-by-voxel comparison of gray matter distribution identified MCD and abnormalities beyond the visualized lesion in individual MCD patients. The method did not reliably identify HS in individual patients or identify abnormalities in individual MRI-negative patients with TLE or JME in a proportion larger than the chance findings in the control group. Using group comparisons, structural abnormalities in the neocortical gray matter of patients with TLE and HS were lateralized to the affected temporal lobe. In patients with JME as a group, an increase in gray matter was localized to the mesial frontal area, corroborating earlier quantitative MRI findings.     

颞叶癫痫儿童灰质异常脑区与神经心理学测验的关系及意义

[目的]评估儿童颞叶癫痫（ TLE）临床表现和神经心理学测验成绩与局部脑萎缩的相关性.[方法]症状性TLE患儿14例（海马萎缩所致中颞叶癫痫 9例,颞叶新皮质损伤所致TLE 5例）,健康对照儿童14名;中颞叶癫痫（ MTLE）成人及其对照各9例.所有入组对象进行脑MRI获取T1结构像,用像素为基础的形态测定法分析图像.所有儿童进行综合神经心理学测验.[结果]TLE患儿同侧海马和海马外周区灰质体积显著减小,灰质体积减小与神经心理学测验成绩显著相关（P〈0.05）.单侧海马萎缩的MTLE患儿中,癫痫发作区域同侧的海马灰质体积显著减小,同侧扣带和对侧额中回皮质萎缩,皮质萎缩程度及范围较同类成人患者小.[结论]与成人MTLE患者相似,儿童MTLE与海马和海马外周的细胞减少有关;儿童TLE灰质萎缩的程度和范围较成人患者小,仅限于额叶区;中颞叶和额叶区灰质体积的减小与神经心理学测验成绩显著相关;TLE患儿的认知或行为障碍是神经网络损伤的结果.     

Voxel-based morphometric comparison of hippocampal and extrahippocampal abnormalities in patients with left and right hippocampal atrophy

We used voxel-based morphometry (VBM), an automatic whole-brain MR image analysis technique, to investigate gray matter abnormalities in patients with temporal lobe epilepsy (TLE), in whom hippocampal atrophy (HA) was demonstrated by application of the Cavalieri method of modern design stereology. VBM results (P < 0.05, corrected) indicated preferential gray matter concentration (GMC) reduction in anterior hippocampus in patients with left HA and posterior hippocampus in patients with right HA. GMC reduction was also found in right dorsal prefrontal cortex in left and right HA patients. Prefrontal atrophy may be due to epileptiform excitotoxic discharges from the reciprocally connected pathological hippocampus, and may be the underlying biological cause for executive dysfunction in patients with TLE. GMC excess in ipsilateral parahippocampal, cerebellar, and pericallosal regions was common to both left and right HA groups relative to controls, and is hypothesized to reflect diminished gray-white matter demarcation, underlying white matter atrophy, or structural displacement due to cerebrospinal fluid expansion. However, bilateral temporal lobe GMC excess was observed in left HA patients, while ipsilateral temporal lobe GMC excess was observed in right HA patients. This work demonstrates methodological consistency between automated VBM and manual stereological analysis of the hippocampus in group comparisons, indicates widespread extrahippocampal gray matter abnormalities in unilateral HA, and suggests that there may be inherent differences in the effect of TLE on temporal lobe structures depending on the side of HA.     

Algebraic T2 estimation improves detection of right temporal lobe epilepsy by MR T2 relaxometry

Seizure related abnormalities may be detected with T2 relaxometry, which involves quantitative estimation of T2 values. Accounting for the partial-volume effect of cerebrospinal fluid (CSF) is important, especially for voxel-based relaxometry, VBR. With a mono-exponential decay model, this can be accomplished by including a baseline constant. An algebraic calculation, which accommodates this constant, offers improved T2 estimation speed over the commonly used non-linear fitting approach. Our objective was to compare the algebraic approach against three fitting approaches for the detection of seizure related abnormalities. We tested the performance of the four methods in the presence of noise using simulated data as well as real data acquired at 3 T with a Carr-Purcell-Meiboom-Gill sequence from 45 healthy subjects and 24 patients with confirmed right temporal lobe epilepsy. A quantitative analysis was performed on spatially normalized data by measuring T2 in various regions and with a whole brain tissue segmentation analysis. The detection rate of hippocampal T2 changes in patients was assessed by comparing the regional T2 measurements from each patient against the control data with a z-score threshold of 2.33. The algebraic method yielded high sensitivity for detection of hippocampal abnormalities in the epileptic patients in regional assessment and in follow-up single-subject VBR. This can be attributed to the relatively small variance across healthy subjects and improved precision in the presence of CSF and noise in simulation. In conclusion, the algebraic method is better than fitting based on faster calculation speed and better sensitivity for detecting seizure-related T2 changes.     

Voxel-based analysis of multiple-system atrophy of cerebellar type: complementary results by combining voxel-based morphometry and voxel-based relaxometry

Voxel-based relaxometry (VBR) is a novel morphometric method that analyses the relaxation rate R2 derived from multi-echo T2-weighted images on a voxel-by-voxel basis. We used VBR to study the brain morphology of 14 patients suffering from multiple-system atrophy of cerebellar type (MSA-C) and compared the results with those obtained by voxel-based morphometry (VBM) of T1-weighted images. VBR analysis revealed reduction of relaxation rate R2 in the cerebellum and brainstem reflecting infratentorial brain atrophy. The affected regions largely corresponded to those regions in which VBM showed reductions of grey and white matter. In addition, R2 was increased in the putamen, a region in which VBM did not show abnormalities. Our data show that the combination of VBR and VBM provided convergent and complimentary information about the brain morphology of MSA-C.     

颞叶内侧癫痫全脑灰质基于体素的MRI形态分析

目的应用MRI基于体素的形态学测量方法（VBM）,分析颞叶内侧癫痫患者全脑灰质结构的改变。方法对23例颞叶内侧癫痫患者（其中右侧病变11例,左侧病变12例）,13例年龄性别与之匹配的健康志愿者行全脑扫描,应用磁化准备快速梯度回波成像序列获取三维结构图像。数据分析采用以SPM99软件包为基础的全自动VBM技术进行处理。结果与健康对照组比较,颞叶内侧癫痫患者显示了患侧和对侧海马,以及丘脑、扣带回等边缘系统结构灰质密度的减少。额叶及小脑皮层等结构也显示弥漫灰质密度的减少。结论VBM法操作简单,不但可检测颞叶内侧癫痫海马结构的异常,还可显示海马结构以外弥漫脑灰质结构的异常。     

Voxel-based iterative sensitivity (VBIS) analysis: methods and a validation of intensity scaling for T2-weighted imaging of hippocampal sclerosis

Abnormalities in the brain generally manifest on MRI as changes in shape (morphometry) or changes in the nature of the tissue (signal intensity). Voxel Based Morphometry (VBM) is a whole brain quantitative way of assessing morphometric changes. Voxel Based Relaxometry (VBR) directly assesses signal intensity changes in quantitative maps of T2 relaxation time, but this requires specialised multiple-echo acquisition sequences that are not usually available at clinical sites. This paper introduces and assesses an objective voxel-based statistical method for evaluation of signal intensity in groups of routinely acquired qualitative images. We call the method Voxel-Based Iterative Sensitivity (VBIS) analysis. It adaptively optimises the relative global scaling of images to maximise sensitivity to regional effects. We apply and validate the method of analysis for T2-weighted images of the human brain. To validate the method, it was directly compared with VBR by extracting T2-weighted images of a single echo from multi-echo T2 relaxometry acquisitions from a group of 24 patients with left hemisphere hippocampal sclerosis and 97 healthy controls. Expected signal abnormalities in the patients were detectable with VBIS-T2, confirming the feasibility of the technique. This opens the door to the use of a voxel-based analysis approach on the vast amount of T2-weighted image data that has been and is being acquired on MRI scanners. When a quantitative modality is not available, VBIS can be an effective way to quantify differences between groups. We expect the method could also assist quantitative analysis of other qualitative modalities such as T1-weighted MRI, SPECT and CT.     

Multivariate network analysis of fiber tract integrity in Alzheimer's disease

Axonal and dendritic integrity is affected early in Alzheimer's disease (AD). Studies using region of interest or voxel-based analysis of diffusion tensor imaging data found significant decline of fractional anisotropy, a marker of fiber tract integrity, in selected white matter areas. We applied a multivariate network analysis based on principal component analysis to fractional anisotropy maps derived from diffusion-weighted scans from 15 AD patients, and 14 elderly healthy controls. Fractional anisotropy maps were obtained from an EPI diffusion sequence using parallel imaging to reduce distortion artifacts. We used high-dimensional image warping to control for partial volume effects due to white matter atrophy in AD. We found a significant regional pattern of fiber changes (p < 0.01) indicating that the integrity of intracortical projecting fiber tracts (including corpus callosum, cingulum and fornix, and frontal, temporal and occipital lobe white matter areas) was reduced, whereas extracortical projecting fiber tracts, including the pyramidal and extrapyramidal systems and somatosensory projections, were relatively preserved in AD. Effects of a univariate analysis were almost entirely contained within the multivariate effect. Our findings illustrate the use of a multivariate approach to fractional anisotropy data that takes advantage of the highly organized structure of anisotropy maps, and is independent of multiple comparison correction and partial volume effects. In agreement with post-mortem evidence, our study demonstrates dissociation between intracortical and extracortical projecting fiber systems in AD in the living human brain.     

Comparison of standard and optimized voxel-based morphometry for analysis of brain changes associated with temporal lobe epilepsy

We compared statistical parametric maps (SPMs) of group-wise regional gray matter differences between temporal lobe epilepsy (TLE) patients with unilateral hippocampal atrophy (HA) determined by manual volumetric analysis relative to a healthy control population using standard and optimized voxel-based morphometry (VBM). We also investigated the impact of customized neuroanatomical templates on SPMs. Standard and optimized VBM analyses of gray matter concentration (GMC) and gray matter volume (GMV) correctly identified HA, regardless of the template used for normalization. The distribution of hippocampal and extrahippocampal abnormalities differed according to the technique (standard v optimized; GMC v GMV), but was not dependent on template type (default v customized) within each technique. In particular, hippocampal GMC reduction was confined to subregions of hippocampus, whereas GMV reduction was observed in the hippocampal head, body, and tail. Unlike standard and optimized GMC reduction, symmetrical GMV reduction was observed in bilateral thalamus, lenticular nuclei, cerebellum, and ipsilateral entorhinal cortex, perirhinal cortex, and fusiform gyrus in both left and right HA patients. These results show that group-wise SPMs of GMC (i.e., regional distribution of gray matter) and GMV (i.e., volume per se) reduction can identify focal atrophy that has been quantified with manual region of interest techniques, although effects are attenuated in analyses of GMC. Unlike SPMs of GMC, analyses of GMV revealed similar extrahippocampal abnormalities as previous region-of-interest volumetric and histopathological studies of intractable TLE. We suggest that in studies of neurological disorders, optimized VBM analyses of GMV may reveal subtle neuroanatomical changes that are not identified in analyses of GMC.     

Quantitative analysis of temporal lobe white matter T2 relaxation time in temporal lobe epilepsy

The objective of this study was to assess temporal lobe white matter (WM) quantitatively using T2 relaxometry in patients with pharmacologically intractable temporal lobe epilepsy (TLE). T2 relaxometry was performed using a dual-echo sequence with 23 contiguous oblique coronal slices in 56 consecutive TLE patients and in 30 healthy subjects. Averages of six slices were chosen to calculate T2 relaxation time in the temporal lobe WM (WM-T2) and the hippocampus (Hippo-T2). Twenty-seven patients had unilateral hippocampal atrophy (HA), and twenty-nine patients had normal hippocampal volumes (NV) on volumetric MRI. Mean WM-T2 was increased ipsilateral to the seizure focus in TLE patients with HA and those with NV (P < 0.001). Contralateral mean WM-T2 was increased in left and right TLE with HA (P < 0.001) and in right TLE with NV (P = 0.001). There was a positive correlation between WM-T2 and Hippo-T2. Individual analysis showed a prolongation of WM-T2 in about 70% of TLE patients with HA and NV. In half of the patients, WM-T2 increase was bilateral and symmetric. However, in 33% of patients with NV and bilateral symmetric increase in Hippo-T2, WM-T2 provided a correct lateralization of the seizure focus. Regardless of the pattern of T2 abnormalities, that is, bilateral symmetric or ipsilateral, the majority of patients with HA became seizure-free after surgery, while those with NV did not have a favorable outcome. In patients with NV, WM-T2 measurement may provide additional lateralizing information compared to Hippo-T2.     

Strengthened functional connectivity in the brain during muscle fatigue

By combining language functional magnetic resonance imaging and voxel-based morphometry in patients with left-sided mesial temporal lobe epilepsy and hippocampal sclerosis, we studied whether atypical language dominance is associated with temporal and/or extratemporal cortical changes. Using verbal fluency functional magnetic resonance imaging for language lateralisation, we identified 20 patients with left-sided mesial temporal lobe epilepsy with hippocampal sclerosis and atypical language lateralisation. These patients were compared with a group of 20 matched left-sided mesial temporal lobe epilepsy patients who had typical language lateralisation. Using T1-weighted 3D images of all patients and voxel-based morphometry, we compared grey matter volumes between the groups of patients. We also correlated grey matter volumes with the degree of atypical language activation. Patients with atypical language lateralisation had increases of grey matter volumes, mainly within right-sided temporo-lateral cortex (x = 59, y = − 16, z = − 1, T = 6.36, p < .001 corrected), and less significantly within frontal brain regions compared to patients with typical language lateralisation. The degree of atypical fronto-temporal language activation (measured by lateralisation indices and relative functional magnetic resonance imaging activity) was correlated with right-sided temporal and frontal grey matter volumes. Patients with atypical language lateralisation did not differ in terms of language performance from patients with typical language dominance. Atypical language lateralisation in patients with left-sided mesial temporal lobe epilepsy was associated with increased grey matter volume within the non-epileptic right temporal and frontal lobe. Grey matter increases associated with atypical language might represent morphological changes underlying functional reorganisation of the language network. This hard-wired reorganised atypical language network seems to be suitable to support language functions.     

正常婴儿与隐源性婴儿痉挛症患儿大脑皮层灰质的MR形态学定量分析

目的通过对脑灰质结构进行定量分析,寻找隐源性婴儿痉挛可能的发病部位、探讨发病机制。方法对16例平均年龄6.4个月的隐源性婴儿痉挛患儿和年龄、性别匹配的16例正常婴儿进行脑部高分辨磁共振解剖成像,借助SPM脑成像处理软件对磁共振图像进行解剖分割,用基于体素的形态学对比方法定量检测患儿组和对照组全脑灰质的体积,比较两组间的差异。结果隐源性婴儿痉挛组在左额下回(47区)、右颞上回(22区)、左中央后回(1～2区)、右额中回(9/10区)、右中央前回(6区)、右扣带回(31区),左颞中回(21区)和颞上回(38区)等灰质体积明显减少,与正常婴儿组比较,差异有显著性(P<0.001)。结论隐源性婴儿痉挛患儿额叶和颞叶的灰质体积明显减少,以额叶和颞叶为主的皮层结构异常可能是本组患儿的发病原因。     

帕金森病轻度认知功能障碍:基于体素的全脑灰质形态学研究

目的采用基于体素的形态学测量方法,分析帕金森病(PD)伴轻度认知功能损害(MCI)患者全脑灰质结构的变化。方法利用3.0T MR仪对22例伴MCI的PD患者(PD伴MCI组)、21例认知功能正常的PD患者(单纯PD组)及20名健康对照(NC组)进行T1W扫描。采用SPM8为基础的VBM8工具箱进行数据处理。结果与NC组比较,PD伴MCI组脑灰质萎缩见于双侧额叶、左侧颞叶、双侧枕叶、双侧小脑、左侧后扣带回及左侧海马区域;单纯PD组脑灰质萎缩集中出现于左侧额叶、颞叶。与单纯PD组相比,PD伴MCI组左侧颞中回和海马旁回出现灰质萎缩。结论伴有MCI的PD患者的脑灰质结构改变范围比不伴MCI者更广,提示PD患者认知功能改变存在脑形态结构水平的异常。     

Whole-brain voxel-based statistical analysis of gray matter and white matter in temporal lobe epilepsy

Volumetric MRI studies based on manual labeling of selected anatomical structures have provided in vivo evidence that brain abnormalities associated with temporal lobe epilepsy (TLE) extend beyond the hippocampus. Voxel-based morphometry (VBM) is a fully automated image analysis technique allowing identification of regional differences in gray matter (GM) and white matter (WM) between groups of subjects without a prior region of interest. The purpose of this study was to determine whole-brain GM and WM changes in TLE and to investigate the relationship between these abnormalities and clinical parameters. We studied 85 patients with pharmacologically intractable TLE and unilateral hippocampal atrophy and 47 age- and sex-matched healthy control subjects. The seizure focus was right sided in 40 patients and left sided in 45. Student's t test statistical maps of differences between patients' and controls' GM and WM concentrations were obtained using a general linear model. A further regression against duration of epilepsy, age of onset, presence of febrile convulsions, and secondary generalized seizures was performed with the TLE population. Voxel-based morphometry revealed that GM pathology in TLE extends beyond the hippocampus involving other limbic areas such as the cingulum and the thalamus, as well as extralimbic areas, particularly the frontal lobe. White matter reduction was found only ipsilateral to the seizure focus, including the temporopolar, entorhinal, and perirhinal areas. This pattern of structural changes is suggestive of disconnection involving preferentially frontolimbic pathways in patients with pharmacologically intractable TLE.     

Tractography of the parahippocampal gyrus and material specific memory impairment in unilateral temporal lobe epilepsy

INTRODUCTION: Temporal lobe epilepsy (TLE) is associated with disrupted memory function. The structural changes underlying this memory impairment have not been demonstrated previously with tractography. METHODS: We performed a tractography analysis of diffusion magnetic resonance imaging scans in 18 patients with unilateral TLE undergoing presurgical evaluation, and in 10 healthy controls. A seed region in the anterior parahippocampal gyrus was selected from which to trace the white matter connections of the medial temporal lobe. A correlation analysis was carried out between volume and mean fractional anisotropy (FA) of the connections, and pre-operative material specific memory performance. RESULTS: There was no significant difference between the left and right sided connections in controls. In the left TLE patients, the connected regions ipsilateral to the epileptogenic region were found to be significantly reduced in volume and mean FA compared with the contralateral region, and left-sided connections in control subjects. Significant correlations were found in left TLE patients between left and right FA, and verbal and non-verbal memory respectively. CONCLUSION: Tractography demonstrated the alteration of white matter pathways that may underlie impaired memory function in TLE. A detailed knowledge of the integrity of these connections may be useful in predicting memory decline in chronic temporal lobe epilepsy.     

Extra-hippocampal grey matter density abnormalities in paediatric mesial temporal sclerosis

The aim of this study was to identify grey matter density abnormalities in children with temporal lobe epilepsy and mesial temporal sclerosis. Magnetic resonance T1 weighted 3D datasets were obtained in children with temporal lobe epilepsy (20 left and 10 right sided, mean age 11.9 years, range 6.6-17.5) and compared to scans obtained from age-matched controls (n = 22, mean age 12.8 years, range 7.1-17.5) using voxel-based morphometry. This method detected reduced grey matter ipsilateral to the seizure focus not only in the hippocampus, but also in the lateral temporal lobe and in extra-temporal regions including the thalamus, posterior cingulate cortex and cerebellum. Bilateral differences were present in the frontal and parietal opercular cortices and lateral temporal regions. These grey matter density reductions broadly reflect the pattern of hippocampal connections and may be caused by the disruption of cortical development by the recurrent seizures, as well as by loss of functional input from the sclerotic hippocampus.     

Structural white matter deficits in high-functioning individuals with autistic spectrum disorder: a voxel-based investigation

A number of imaging and neuropathological studies have reported structural abnormalities in white matter areas such as the corpus callosum in autism spectrum disorder (ASD). Differences in both global brain volume and the size of specific neural structures have been reported. In order to expand these previously reported findings and to describe more precisely the nature of such structural changes, we performed a voxel-based morphometric whole brain analysis, using a group-specific template, in male adolescents with ASD. Fifteen individuals with normal intelligence and ASD, and a group of 16 controls, matched for age, sex, and IQ, were investigated. High-resolution T1-weighted 3D data sets were acquired and analysed. Local white matter volume deficits were found in the corpus callosum, particularly in the anterior splenium and isthmus, and right hemisphere. White matter volume deficits were also found in the left middle temporal, right middle frontal, and left superior frontal gyri. No significant areas of increased white matter volume were found. Our findings support the hypothesis that reduced white matter volume in the corpus callosum and right hemisphere may play a role in the pathophysiology of ASD.     

Selecting appropriate voxel-based methods for neuroimaging studies

We highlight a fundamental difference between voxel-based methods that interrogate signal intensity directly and those that interrogate morphometric features; we discuss how signal intensity changes might erroneously affect morphometric measures, and we provide some guidance for selection of appropriate methods to address particular hyphotheses. Our discussion is motivated by a recent application of voxel-based morphometry methods to T2-weighted images (T2-Voxel Based Morphometry; T2-VBM). In this context we discuss alternative approaches including Voxel-Based T2-Relaxometry (VBR) and Voxel Based Iterative Sensitivity analysis of T2-Weighted Images (VBIS-T2).