Spatiotemporal microstructural white matter changes in diffusion tensor imaging after transient focal ischemic stroke in rats

Structural reorganization in white matter (WM) after stroke is a potential contributor to substitute or to newly establish the functional field on the injured brain in nature. Diffusion tensor imaging (DTI) is an imaging modality that can be used to evaluate damage and recovery within the brain. This method of imaging allows for in vivo assessment of the restricted movements of water molecules in WM and provides a detailed look at structural connectivity in the brain. For longitudinal DTI studies after a stroke, the conventional region of interest method and voxel‐based analysis are highly dependent on the user‐hypothesis and parameter settings for implementation. In contrast, tract‐based spatial statistics (TBSS) allows for reliable voxel‐wise analysis via the projection of diffusion‐derived parameters onto an alignment‐invariant WM skeleton. In this study, spatiotemporal WM changes were examined with DTI‐derived parameters (fractional anisotropy, FA; mean diffusivity, MD; axial diffusivity, DA; radial diffusivity, RD) using TBSS 2 h to 6 weeks after experimental focal ischemic stroke in rats (N = 6). FA values remained unchanged 2–4 h after the stroke, followed by a continuous decrease in the ipsilesional hemisphere from 24 h to 2 weeks post‐stroke and gradual recovery from the ipsilesional corpus callosum to the external capsule until 6 weeks post‐stroke. In particular, the fibers in these areas were extended toward the striatum of the ischemic boundary region at 6 weeks on tractography. The alterations of the other parameters in the ipsilesional hemisphere showed patterns of a decrease at the early stage, a subsequent pseudo‐normalization of MD and DA, a rapid reduction of RD, and a progressive increase in MD, DA and RD with a decreased extent in the injured area at later stages. The findings of this study may reflect the ongoing processes on tissue damage and spontaneous recovery after stroke.     

Tract based spatial statistical analysis and voxel based morphometry of diffusion indices in temporal lobe epilepsy

White matter (WM) microstructure can be evaluated by diffusion tensor imaging (DTI). Tract-based spatial statistical (TBSS) analysis provides a means of assessing alterations in WM tracts. In this paper, both voxel-based morphometry (VBM) and TBSS are examined using DTI data of temporal lobe epilepsy (TLE) patients and nonepileptic subjects. In addition to fractional anisotropy (FA), ellipsoidal area ratio (EAR) is used in this study. Significant reductions of FA and EAR are identified by TBSS in the parahippocampal white matter. Because of methodological differences, TBSS detects more localized abnormalities than VBM, while the EAR is more sensitive to WM alteration than FA.     

Systematic review and voxel-based meta-analysis of diffusion tensor imaging studies in bipolar disorder

Background

Diffusion tensor imaging (DTI) studies have shown changes in the microstructure of white matter in bipolar disorder. Studies suggest both localised, predominantly fronto-limbic, as well as more widespread changes in white matter, but with some apparent inconsistency. A meta-analysis of white matter alterations in adults with bipolar disorder was undertaken.

Method

Whole-brain DTI studies comparing adults with bipolar disorder to healthy controls on fractional anisotropy (FA) were retrieved using searches of MEDLINE and EMBASE from between 2003 and December 2012. White-matter tract involvement was collated and quantified. Clusters of significantly altered FA were meta-analysed using effect-size signed differential mapping (ES-SDM).

Results

Ten VBA studies (252 patients and 256 controls) and five TBSS studies (138 patients and 98 controls) met inclusion criteria. Sixty-one clusters of significantly different FA between bipolar disorder and healthy controls were identified. Analysis of white-matter tracts indicated that all major classes of tracts are implicated. ES-SDM meta-analysis of VBA studies revealed three significant clusters of decreased FA in bipolar disorder (a right posterior temporoparietal cluster and two left cingulate clusters). Findings limited to the Bipolar Type I papers were more robust.

Limitations

Voxel-based studies do not accurately identify tracts, and our ES-SDM analysis used only published peak voxels rather than raw DTI data.

Conclusions

There is consistent data indicating widespread white matter involvement with decreased white matter FA demonstrated in three disparate areas in bipolar disorder. White matter alterations are not limited to anterior fronto-limbic pathways in bipolar disorder.     

Diffusion tensor imaging and Tract-Based Spatial Statistics in Alzheimer's disease and mild cognitive impairment

We aimed to explore the changes in fractional anisotropy (FA) in subjects with mild cognitive impairment (MCI) and Alzheimer's disease (AD) by analyzing diffusion tensor imaging (DTI) data using the Tract-Based Spatial Statistics (TBSS). DTI data were collected from 17 AD patients, 27 MCI subjects and 19 healthy controls. Voxel-based analysis with TBSS was used to compare FA among the three groups. Additionally, guided by TBSS findings, a region of interest (ROI)-based analysis along the TBSS skeleton was performed on group-level and the accuracy of the method was assessed by the back-projection of ROIs to the native space FA. Neurofiber tracts with decreased FA included: the parahippocampal white matter, cingulum, uncinate fasciculus, inferior and superior longitudinal fasciculus, corpus callosum, fornix, tracts in brain stem, and cerebellar tracts. Quantitative ROI-analysis further demonstrated the significant decrease on FA values in AD patients relative to controls whereas FA values of MCI patients were found in between the controls and AD patients. We conclude that TBSS is a promising method in examining the degeneration of neurofiber tracts in MCI and AD patients.     

Right lateralized white matter abnormalities in first-episode,drug-naive paranoid schizophrenia

Numerous studies in first-episode schizophrenia suggest the involvement of white matter (WM) abnormalities in multiple regions underlying the pathogenesis of this condition. However, there has never been a neuroimaging study in patients with first-episode, drug-naive paranoid schizophrenia by using tract-based spatial statistics (TBSS) method. Here, we used diffusion tensor imaging (DTI) with TBSS method to investigate the brain WM integrity in patients with first-episode, drug-naive paranoid schizophrenia. Twenty patients with first-episode, drug-naive paranoid schizophrenia and 26 healthy subjects matched with age, gender, and education level were scanned with DTI. An automated TBSS approach was employed to analyze the data. Voxel-wise statistics revealed that patients with paranoid schizophrenia had decreased fractional anisotropy (FA) values in the right superior longitudinal fasciculus (SLF) II, the right fornix, the right internal capsule, and the right external capsule compared to healthy subjects. Patients did not have increased FA values in any brain regions compared to healthy subjects. There was no correlation between the FA values in any brain regions and patient demographics and the severity of illness. Our findings suggest right-sided alterations of WM integrity in the WM tracts of cortical and subcortical regions may play an important role in the pathogenesis of paranoid schizophrenia.     

Major depressive disorder and white matter abnormalities: A diffusion tensor imaging study with tract-based spatial statistics

BackgroundA few diffusion tensor imaging (DTI) studies have shown abnormalities in areas of white matter tracts involved in mood regulation in geriatric depressive patients, using a region-of-interest technique. A voxel-based morphometry DTI study of young depressive patients reported similar results. In this study, we explored the structure of the white matter of the whole brain with DTI in middle-aged major depressive disorder (MDD) patients, using novel tract-based spatial statistics.MethodsSixteen MDD patients and 20 controls underwent DTI. An automated tract-based spatial method (TBSS) was used to analyze the scans.ResultsCompared with controls, the MDD patients showed a trend for lower values of fractional anisotropy (FA) in the left sagittal stratum, and suggestive decreased FA in the right cingulate cortex and posterior body of corpus callosum. Regressing out the duration and severity of disorder in the model did not change the finding in the sagittal stratum, but dissipated the decrease of FA in latter regions.LimitationsPossibly by reason of a relatively small study sample for a TBSS, the results are suggestive, and should be replicated in further studies.ConclusionsA novel observer-independent DTI method showed decreased FA in the middle-aged MDD patients in white matter regions that have previously connected to the emotional regulation. Lower FA might imply underlying structural abnormalities that contribute to the dysfunction detected in the limbic-cortical network of depressive patients.     

Distinctive disruption patterns of white matter tracts in Alzheimer's disease with full diffusion tensor characterization

To characterize the white matter structural changes at the tract level and tract group level, comprehensive analysis with 4 metrics derived from diffusion tensor imaging (DTI), fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AxD) and radial diffusivity (RD), was conducted. Tract groups, namely limbic, commissural, association, and projection tracts, include white matter tracts of similar functions. Diffusion tensor imaging data were acquired from 61 subjects (26 Alzheimer's disease [AD], 11 subjects with amnestic mild cognitive impairment [aMCI], and 24 age-matched controls). An atlas-based approach was used to survey 30 major cerebral white matter tracts with the measurements of FA, MD, AxD, and RD. Regional cortical atrophy and cognitive functions of AD patients were also measured to correlate with the structural changes of white matter. Synchronized structural changes of cingulum bundle and fornix, both of which are part of limbic tract group, were revealed. Widespread yet distinctive structural changes were found in limbic, commissural, association, and projection tract groups between control and AD subjects. Specifically, FA, MD, and RD of limbic tracts, FA, MD, AxD, and RD of commissural tracts, MD, AxD, and RD of association tracts, and MD and AxD of projection tracts are significantly different between AD patients and control subjects. In contrast, the comparison between aMCI and control subjects shows disruption only in the limbic and commissural tract groups of aMCI subjects. MD values of all tract groups of AD patients are significantly correlated to cognitive functions. Difference between AD and control and that between aMCI and control indicates a progression pattern of white matter disruption from limbic and commissural tract group to other tract groups. High correlation between FA, MD, and RD measurements from limbic tracts and cortical atrophy suggests the disruption of the limbic tract group is caused by the neuronal damage.     

Diffusion tensor imaging of two unrelated Chinese men with hereditary spastic paraplegia associated with thin corpus callosum

Hereditary spastic paraplegia (HSP) associated with thin corpus callosum is a rare autosomal recessive neurodegenerative disorder characterized by an abnormally thin corpus callosum, normal motor development, slowly progressive spastic paraparesis and cognitive deterioration. To investigate and localize abnormalities in the brains of two Chinese patients with HSP-TCC, with mutations in the spatacsin gene. Diffusion tensor imaging (DTI) was used to determine the mean diffusion (MD) and fractional anisotropy (FA) in the brains of the patients in comparison to 20 healthy subjects. Voxel-based analysis (VBA) of both the diffusion and anisotropy values were performed using statistical parametric mapping (SPM). Significant changes with MD increase and FA reduction were found in the already known lesions including the corpus callosum, cerebellum and thalamus. In addition, changes were also found in regions that appear to be normal in conventional MRI, such as the brain stem, internal capsule, cingulum and subcortical white matter including superior longitudinal fascicle and inferior longitudinal fascicle. Neither increase in FA nor reduction in MD was detected in the brain. Our study provides clear in vivo MR imaging evidence of a more widespread brain involvement of HSP-TCC. MD is more sensitive than FA in detecting lesions in thalamus and subcortical white matter, suggesting that MD may be a better marker of the disease progression.     

A comparative study of bone marrow mesenchymal stem cell functionality in C57BL and mdx mice

Abnormalities of the white matter (WM) tracts integrity in brain areas involved in emotional regulation have been postulated in major depressive disorder (MDD). However, there is no diffusion tensor imaging (DTI) study in patients with treatment-responsive MDD at present. DTI scans were performed on 22 patients with treatment-responsive MDD and 19 well-matched healthy subjects. Tract-based spatial statistics (TBSS) approach was employed to analyze the scans. Voxel-wise statistics revealed four brain WM tracts with lower fractional anisotropy (FA) in patients compared to healthy subjects: the bilateral internal capsule, the genu of corpus callosum, the bilateral anterior corona radiata, and the right external capsule. FA values were nowhere higher in patients compared to healthy subjects. Our findings demonstrate that the abnormalities of the WM tracts, major in the projection fibers and corpus callosum, may contribute to the pathogenesis of treatment-responsive MDD.     

首发重症抑郁症的弥散张量成像研究:基于纤维束示踪的空间统计学分析结果

目的:应用基于纤维束示踪的空间统计分析(Tract-Based Spatial Statistics,TBSS)方法,探讨重症抑郁症病患者全脑白质纤维的完整性是否受到损害。方法:对20(8男,12女)例重症抑郁症病患者组和20(8男,12女)例与抑郁症组按性别、年龄、教育程度匹配的正常人进行全脑弥散张量成像扫描。应用TBSS方法来比较两组的各向异性分数。结果:抑郁症组的左侧内囊前肢、右侧海马旁回、左侧后扣带回的各向异性分数显著低于正常组(P<0.05,t>3,校正),患者组内囊前肢的各向异性分数和抑郁症严重程度呈现负相关。结论:白质病变在抑郁症发病早期即已存在,这些病变区域主要涉及前额叶和边缘系统等与认知和情感调节关系较密切的神经环路的纤维束,这些改变可能导致皮层和皮层下连接受损,从而有利于深入了解抑郁症疾病的发病机理。     

Evaluation of voxel-based group-level analysis of diffusion tensor images using simulated brain lesions

We simulated brain lesions in mean diffusivity (MD) and fractional anisotropy (FA) images of healthy subjects to evaluate the performance of voxel-based analysis (VBA) with SPM2. We increased MD and decreased FA, simulating the most typical abnormalities in brain pathologies, in the superior longitudinal fasciculus (SLF), corticospinal tract (CST), and corpus callosum (CC). Lesion sizes varied from 10 to 400 voxels (10.5 mm³ each) and intensity changes from 10 to 100%. The VBA contained eddy current correction, spatial normalization, smoothing, and statistical analysis.The preprocessing steps changed the intensities of MD and FA lesions from the original values, and many lesions remained undetected. The detection thresholds varied between the three brain areas, and between MD and FA images. Although spatial smoothing often improved the sensitivity, it also markedly enlarged the estimated lesion sizes.Since conventional VBA preprocessing significantly affected the outcome and sensitivity of the method itself, the impact of analysis steps should be verified and considered before interpreting the findings. Our results provide insight into the sizes and intensity changes of lesions that can be detected with VBA applied to diffusion tensor imaging (DTI) data.     

Diffusional kurtosis imaging and white matter microstructure modeling in a clinical study of major depressive disorder

Major depressive disorder (MDD) is a globally prevalent psychiatric disorder that results from disruption of multiple neural circuits involved in emotional regulation. Although previous studies using diffusion tensor imaging (DTI) found smaller values of fractional anisotropy (FA) in the white matter, predominantly in the frontal lobe, of patients with MDD, studies using diffusion kurtosis imaging (DKI) are scarce. Here, we used DKI whole‐brain analysis with tract‐based spatial statistics (TBSS) to investigate the brain microstructural abnormalities in MDD. Twenty‐six patients with MDD and 42 age‐ and sex‐matched control subjects were enrolled. To investigate the microstructural pathology underlying the observations in DKI, a compartment model analysis was conducted focusing on the corpus callosum. In TBSS, the patients with MDD showed significantly smaller values of FA in the genu and frontal portion of the body of the corpus callosum. The patients also had smaller values of mean kurtosis (MK) and radial kurtosis (RK), but MK and RK abnormalities were distributed more widely compared with FA, predominantly in the frontal lobe but also in the parietal, occipital, and temporal lobes. Within the callosum, the regions with smaller MK and RK were located more posteriorly than the region with smaller FA. Model analysis suggested significantly smaller values of intra‐neurite signal fraction in the body of the callosum and greater fiber dispersion in the genu, which were compatible with the existing literature of white matter pathology in MDD. Our results show that DKI is capable of demonstrating microstructural alterations in the brains of patients with MDD that cannot be fully depicted by conventional DTI. Though the issues of model validation and parameter estimation still remain, it is suggested that diffusion MRI combined with a biophysical model is a promising approach for investigation of the pathophysiology of MDD.     

FSL在DTI大脑图像分析中的应用现状

随着弥散张量成像(diffusion tensor imaging,DTI)技术在大脑结构方面应用研究的增多,与之相关的数据分析软件也在增多,其中FMRIB Software Library(FSL)在示踪时使用的是基于概率性示踪的算法,在进行交叉纤维示踪和灰质连接上有很大优势。本文主要根据数据分析方式的不同对FSL包含的两个子工具(tract-based spatial statistics,TBSS和FMRIB’s diffusion toolbox,FDT)在DTI大脑图像分析方面的应用现状进行分类介绍,主要涉及老年抑郁症、精神分裂症以及认知功能等领域。本文首先简要介绍DTI原理,然后根据数据分析方式的不同,在TBSS部分分为全脑分析和感兴趣区域(region of interest,ROI)分析两方面,在FDT部分分为全脑示踪、ROI互连分析、基于连通度的分类三方面进行介绍,最后对FSL的局限性以及发展状况进行总结。     

Diffusion tensor MRI with tract-based spatial statistics and histology reveals undiscovered lesioned areas in kainate model of epilepsy in rat

In this study, we used tract-based spatial statistics (TBSS) to analyze diffusion tensor MR imaging (DTI) data acquired from the rat brain, ex vivo, for the first time. The aim was to highlight potential changes in the whole brain anatomy in the kainic acid model of epilepsy, and further characterize the changes with histology. Increased FA was observed in dorsal endopiriform nucleus, external capsule, corpus callosum, dentate gyrus, thalamus, and optic tract. A decrease in FA was seen in the horizontal limb of the diagonal band, stria medullaris, habenula, entorhinal cortex, and superior colliculus. Some of the areas have been described in kainic acid model before. However, we also found regions that to our knowledge have not been previously reported to undergo structural changes, in this model, including stria medullaris, nucleus of diagonal band, habenula, superior colliculus, external capsule, corpus callosum, and optic tract. Four of the areas highlighted in TBSS (dentate gyrus, entorhinal cortex, thalamus and stria medullaris) were analyzed in more detail with Nissl, Timm, and myelin-stained histological sections, and with polarized light microscopy. TBSS together with targeted histology confirmed that DTI changes were associated with altered myelination, neurodegeneration, and/or calcification of the tissue. Our data demonstrate that DTI in combination with TBSS has a great potential to facilitate the discovery of previously undetected anatomical changes in animal models of brain diseases.     

Microstructural white matter damage at orbitofrontal areas in borderline personality disorder

ObjectivesPrefrontal cortex plays a major role in the modulation of behaviors and emotions through regulation of both information processing and impulse control. Low prefrontal function in borderline personality disorder (BPD) has been consistently reported by a number of studies using neuropsychological assessments and functional neuroimaging techniques. To further explore this findings, this study aimed to investigate microstructural damage of prefrontal white matter tracts in subjects with BPD by using the novel, voxel-based approach, tract-based spatial statistics (TBSS).MethodsA Diffusion Tensor Image (DTI) study was performed in 28 patients with DSM-IV BPD (13 males and 15 females) and in 26 healthy control subjects. Voxel wise analysis was performed using TBSS (diffusion toolbox of FSL — functional MRI Software Library) to localize regions of white matter showing significant changes of fractional anisotropy (FA).ResultsTBSS analysis revealed a statistically significant decrease of FA in the genu and rostral areas of the corpus callosum (p < 0.005), as well as in left and right prefrontal white matter fasciculi (p < 0.002) in BPD participants compared with controls. White matter abnormalities were not correlated with age, neurological symptoms or comorbid ADHD.ConclusionsDespite the reduced sample size, the results are in line with previous findings on reduced orbitofrontal functions in BPD with prominent affective-depressive feature and suggest that emotional and behavioral symptoms of BPD patients might be associated to damage at the connectivity tracts in these brain areas.     

DTI at long diffusion time improves fiber tracking

While diffusion‐tensor‐imaging tractography provides remarkable in vivo anatomical connectivity of the central nervous system, the majority of DTI studies to date are predominantly limited to tracking large white‐matter fibers. This study investigated DTI tractography using long diffusion time (t_diff) to improve tracking of thinner fibers in fixed rhesus monkey brains. Stimulated Echo Acquisition Mode (STEAM) sequence on a 3T Siemens TRIO was modified to include a diffusion module. DTI was acquired using STEAM with t_diff of 48 and 192 ms with matched signal‐to‐noise ratios (SNR). Comparisons were also made with the conventional double‐spin echo (DSE) at a short t_diff of 45 ms. Not only did the fractional anisotropy increase significantly with the use of long diffusion time, but directional entropy measures indicated that there was an increased coherence amongst neighboring tensors. Further, the magnitude of the major eigenvector was larger at the t_diff = 192 ms as compared to the short t_diff. Probabilistic connectivity maps at long t_diff showed larger areas of connectivity with the use of long diffusion time, which traversed deeper into areas of low anisotropy. With tractography, it was found that the length of the fibers, increased by almost 10% in the callosal fibers that branch into the paracentral gyrus, the precentral gyrus and the post central gyrus. A similar increase of about 20% was observed in the fibers of the internal capsule. These findings offer encouraging data that DTI at long diffusion time could improve tract tracing of small fibers in areas of low fractional anisotropy (FA), such as at the interfaces of white matter and grey matter. Copyright © 2010 John Wiley & Sons, Ltd.     

Combined analyses of gray matter voxel-based morphometry and white matter tract-based spatial statistics in pediatric bipolar mania

Background

Ample evidence has suggested the presence of gray matter (GM) and white matter (WM) abnormalities in bipolar disorder (BD) patients, including pediatric bipolar disorder (PBD). However, little research has been done in PBD patients that carefully classify the mood states. The aim of the present study is to investigate the brain structural changes in PBD-mania children and adolescents.

Methods

Eighteen children and adolescents with bipolar mania (male/female, 6/12) aged 10–18 years old and 18 age- and sex-matched healthy controls were included in the present study. The 3D T1-weighted magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) data were obtained on a Siemens 3.0 T scanner. Voxel-based morphometry (VBM) analysis and tract-based spatial statistics (TBSS) analysis were conducted to compare the gray matter volume and white matter fractional anisotropy (FA) value between patients and controls. Correlations of the MRI data of each survived area with clinical characteristics in PBD patients were further analyzed.

Results

As compared with the control group, PBD-mania children showed decreased gray matter volume in the left hippocampus. Meanwhile, significant lower FA value was detected in the right anterior cingulate (AC) in the patient group. No region of increased gray matter volume or FA value was observed in PBD-mania. The hippocampal volume was negatively associated with the Young Mania Rating Scale (YMRS) score when controlling for clinical characteristics in PBD-mania patients, however, there was no significant correlation of FA value of the survived area with illness duration, the onset age, number of episodes, or the YMRS score in PBD-mania patients.

Limitation

The present outcomes require replication in larger samples and verification in medication free subjects.

Conclusions

Our findings highlighted that extensive brain structural lesions (including GM and WM) were existed in PBD-mania. The widespread occurrence of structural abnormalities mainly located in the anterior limbic network (ALN) which suggested that this network might contribute to emotional and cognitive dysregulations in PBD.     

Understanding white matter integrity stability for bilinguals on language status and reading performance

Recent studies using diffusion tensor imaging (DTI) have described overall white matter integrity in bilinguals but have not related structural neural pathways to language functions. The current study examined white matter integrity and its relationship to reading skill in monolingual English and bilingual Chinese-English speakers. Eleven monolingual speakers (mean age 28.5 years) and 13 bilingual speakers (mean age 24.2 years; English as a second language was acquired post 5 years of age) participated. Behavioural response times and accuracy rates to name regular and exception words were recorded. Participants were then scanned using a standardized DTI protocol. Fractional anisotropy (FA) and mean diffusivity values were derived from a voxelwise statistical analysis for comparisons between participant groups. Tests for relationships between response time and FA were also conducted. Our results show minimal regions of higher FA for monolinguals when compared to bilinguals and no regions of higher FA for bilinguals when compared to monolinguals, which indicates that white matter integrity may not stabilize in bilinguals until late adulthood. We do show several regions where an increase in FA is associated with faster response times. Interestingly, the FA–response time relationship varies between groups and between word types, which may reflect an increased processing demand for retrieval of difficult words (e.g., exception words). These results provide some support for the interference control and reduced frequency hypotheses outlined by Jones et al. (Cerebr Cortex 22:892–902, 2012). The current findings advance our understanding of the underlying cortical networks associated with language status and reading skill in monolingual and bilingual adults.     

基于不同FA模板的全脑体素分析方法可靠性的研究

比较基于两种不同FA模板的全脑体素分析(VBA)方法的结果,了解该方法的可靠性,以期为脑白质的功能研究和相关疾病的诊治提供基础信息。选择27例健康成年志愿者,分为青年组(14例)和老年组(13例),行磁共振弥散张量成像扫描。首先使用DTIStudio软件对图像进行自动配准和张量计算,获取部分各向异性(FA)图,然后利用统计参数图(SPM8)软件对FA图进行配准、归一化、平滑等预处理,最后分别基于SPM8软件下产生的专用FA模板和本实验室自主开发的正常中国人FA模板,对两组间的脑白质FA值进行全脑体素分析比较。以纤维束示踪的空间统计学(TBSS)方法和相关文献结果为标准,对以上比较结果进行验证。在基于SPM8产生的专用FA模板下,与青年组对比,老年组的双侧内囊前、后肢,左外囊,左额上回,左枕叶,右放射冠,右大脑脚底,右额中、下回,右小脑中脚的FA值显著下降(P<0.05,簇错误率校正);在基于正常中国人FA模板下,老年组的左内囊后肢,左外囊,左额上回,左颞中回,左枕叶,右放射冠,右内囊前、后肢,右大脑脚底,右额中、下回和胼胝体膝部的FA值相对于青年组显著下降(P<0.05,簇错误率校正);两种模板结果的不一致区域共有4个,即:左内囊前肢、右小脑中脚和左颞中回、胼胝体膝部,前两个区域出现在第一个模板中,后两个区域出现在第二个模板中,根据TBSS方法的激活区结果可得出左内囊前肢、右小脑中脚是假阳性,TBSS方法和相关文献结果支持第二个模板的结论。在采用VBA方法对脑白质进行分析时,基于正常中国人FA模板有助于提高结果的客观性和可靠性。     

High-resolution diffusion tensor imaging of fixed brain in a mouse model of Pelizaeus-Merzbacher disease: comparison with quantitative measures of white matter pathology

Diffusion tensor imaging (DTI) is a powerful technique for the noninvasive assessment of the central nervous system. To facilitate the application of this technique to in vivo studies, we characterised a mouse model of the leukodystrophy, Pelizaeus-Merzbacher disease (PMD), comparing high-resolution ex vivo DTI findings with quantitative histological analysis of selected areas of the brain. The mice used in this study (Plp1-transgenic) carry transgenic copies of the Plp1 gene and are models for PMD as a result of gene duplication. Plp1 transgenic mice display a mild ataxia and experience frequent seizures around the time at which they were imaged. Axial (λ(1) ) and radial (RD) diffusivities and fractional anisotropy (FA) data were analysed using an exploratory whole-brain voxel-based method, a voxel-based approach using tract-based spatial statistics (TBSS), and by application of conventional region of interest (ROI) analyses to selected white matter tracts. Raw t value maps and TBSS analyses indicated widespread changes throughout the brain of Plp1-transgenic mice compared with the wild-type. ROI analyses of the corpus callosum, anterior commissure and hippocampal fimbria showed that FA was reduced significantly, whereas λ(1) and RD were increased significantly, in Plp1-transgenic mice compared with the wild-type. The DTI data derived from ROI analyses were subsequently compared with histological measures taken in the same regions. These revealed an almost complete absence of myelin, preservation of axons, marked astrocytosis and increased or unchanged cell densities. These data contribute to our growing understanding of the basis of anisotropic water diffusion in the normal and diseased nervous system.