ABSTRACT
Objective:To investigate the differences of white matter diffusion properties between vulnerable and resistant individuals to continuous attention after sleep deprivation.Methods:According to the psychomotor vigilance test performance before and after sleep deprivation, the participants were divided into the vulnerable group( n=24) and resistant group( n=25). All participants underwent diffusion tensor imaging (DTI) scans.Tract based spatial statistics(TBSS) was used to compare fractional anisotropy(FA), mean diffusivity(MD), axial diffusivity(AD), radial diffusivity(RD) maps between the two groups.Spearman correlation analysis was conducted by SPSS 24.0 to investigate the relationships between the altered DTI metrics and PVT task performance. Results:(1) Compared with resistant group, FA value of vulnerable group decreased in the body of corpus callosum(x, y, z=-8, 9, 25, t=-7.855), right superior longitudinal fasciculus(x, y, z=-39, -7, 26, t=-6.252), bilateral anterior limb of internal capsule(x, y, z=-13, 8, 13, t=-5.235; x, y, z=12, 8, 3, t=-5.024) and right posterior thalamic radiation(x, y, z=-26, -56, 17, t=-5.469)(TFCE corrected, P<0.05, cluster size≥50 voxel). (2) Compared with resistant group, MD value of vulnerable group increased in the body of corpus callosum(x, y, z=-3, -6, 26, t=7.613), right superior longitudinal fasciculus(x, y, z=-31, -19, 38, t=5.314), bilateral anterior limb of internal capsule(x, y, z=-16, 7, 8, t=6.898; x, y, z=15, 5, 7, t=6.652), splenium of corpus callosum(x, y, z=27, -53, 17, t=6.541), and AD value increased in the right superior longitudinal fasciculus(x, y, z=-33, -19, 39, t=4.892), splenium of corpus callosum(x, y, z=-22, -49, 21, t=5.450), genu of corpus callosum(x, y, z=4, 26, 0, t=4.332), as well as RD value increased in the right superior corona radiata(x, y, z=-17, 1, 33, t=7.558), body of corpus callosum(x, y, z=4, -8, 26, t=6.699), right anterior limb of internal capsule(x, y, z=-12, 7, 3, t=5.212) (TFCE corrected, P<0.05, cluster size≥50 voxel). (3) Correlational analysis revealed that the negative correlations were found between PVT task performance and the FA value in the right superior longitudinal fasciculus( r=-0.492, P<0.001), right anterior limb of internal capsule( r=-0.510, P<0.001), right posterior thalamic radiation( r=-0.502, P<0.001) and body of corpus callosum( r=-0.464, P<0.001). The positive correlations were found between PVT task performance and the MD value in the body of corpus callosum( r=0.500, P<0.001), right superior longitudinal fasciculus( r=0.499, P<0.001), splenium of corpus callosum( r=0.462, P<0.001), right anterior limb of internal capsule( r=0.471, P<0.001), and AD value in right superior longitudinal fasciculus( r=0.643, P<0.001), as well as RD value in right superior corona radiate( r=0.498, P<0.001) (Bonferroni corrected, P<0.003). Conclusion:Differences in the microstructural characteristics of white matter fiber tracts in specific brain regions may constitute the potential neuropathological basis for the phenotypes of vulnerable and resistant individuals to continuous attention after sleep deprivation.
ABSTRACT
The study aims to investigate whether there is difference in pre-treatment white matter parameters in treatment-resistant and treatment-responsive schizophrenia. Diffusion tensor imaging (DTI) was acquired from 60 first-episode drug-naïve schizophrenia (39 treatment-responsive and 21 treatment-resistant schizophrenia patients) and 69 age- and gender-matched healthy controls. Imaging data was preprocessed via FSL software, then diffusion parameters including fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD) were extracted. Besides, structural network matrix was constructed based on deterministic fiber tracking. The differences of diffusion parameters and topology attributes between three groups were analyzed using analysis of variance (ANOVA). Compared with healthy controls, treatment-responsive schizophrenia showed altered white matter mainly in anterior thalamus radiation, splenium of corpus callosum, cingulum bundle as well as superior longitudinal fasciculus. While treatment-resistant schizophrenia patients showed white matter abnormalities in anterior thalamus radiation, cingulum bundle, fornix and pontine crossing tract relative to healthy controls. Treatment-resistant schizophrenia showed more severe white matter abnormalities in anterior thalamus radiation compared with treatment-responsive patients. There was no significant difference in white matter network topological attributes among the three groups. The performance of support vector machine (SVM) showed accuracy of 63.37% in separating the two patient subgroups ( = 0.04). In this study, we showed different patterns of white matter alterations in treatment-responsive and treatment-resistant schizophrenia compared with healthy controls before treatment, which may help guiding patient identification, targeted treatment and prognosis improvement at baseline drug-naïve state.
ABSTRACT
Objective: To explore the microstructure abnormalities of white matter (WM) throughout the brain in patients with primary trigeminal neuralgia (PTN) using tract-based spatial statistics (TBSS). Methods: Whole brain DTI scanning was performed on 38 PTN patients and 38 age and sex matched healthy volunteers. DTI data were processed with FSL software package. The different brain regions of FA, mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD) were calculated, and then the correlation between these parameters and visual analogue scale (VAS) were evaluated in PTN patients. Results: Compared with the controls, widespread decrease of FA value in corpus callosum, coronal radiata, left superior longitudinal fasciculus, left inferior longitudinal fasciculus and inferior frontal-occipital fasciculus were demonstrated in PTN patients. Besides these regions, the elevated MD and RD values were also distributed extensively in posterior thalamic radiation, internal capsule, external capsule, fornix and right superior longitudinal fasciculus. Increased AD value was found in bilateral anterior limbs of internal capsule, left posterior limb of internal capsule, bilateral superior coronal radiata and superior longitudinal fasciculus. In addition, the mean VAS was negatively correlated with FA value (r=-0.502, P=0.001) and positively associated with MD value (r=0.437, P=0.006) in left superior longitudinal fasciculus in PTN patients. Conclusion: Elevation of MD and RD without FA alterations in thalamus and internal capsule may be relatively characteristic in PTN patient, and FA and MD values extracted from left superior longitudinal fasciculus may become alternative indicators for assessing facial pain in PTN patients.
ABSTRACT
@#Objective To explore the central pathogenesis of autism spectrum disorder (ASD) by comparing the difference between children with ASD and typically developing children. Methods From September, 2017 to July, 2018, ten children with ASD (ASD group) and ten typically developing children (control group) were included. ASD group was assessed with Gesell Developmental Schedules (GDS) and Psychoeducational Profile-Third Edition (PEP-3). All the children accepted diffusion tensor imaging, and the differences in fraction anisotropy (FA), axial diffusivity (AD), radial diffusivity (RD) and mean diffusivity (MD) between them were compared, and the correlation between abnormal data and the clinical scores was explored in ASD group. Results Compared with those in the control group, FA decreased in left middle cerebellar, left peduncle body of corpus callosum, left posterior limb of internal capsule, bilateral corona radiate and bilateral longitudinal fasciculus in ASD group; while RD increased in left middle cerebellar, left peduncle body and splenium of corpus callosum, bilateral corona radiata and bilateral longitudinal fasciculus. The mental age correlated with FA of left middle cerebellar (r = 0.686, P < 0.05), and the development quotient correlated with FA of left corona radiate (r = 0.720, P < 0.05) and left peduncle body of corpus callosum (r = 0.744, P < 0.05). The scores of Expressive Language (r = 0.711, P < 0.05) and Receptive Language (r = 0.754, P < 0.05) were correlated with FA of left peduncle body of corpus callosum, while the scores of Fine Motor were correlated with FA of left middle cerebellar (r = 0.723, P < 0.05). The scores of Affective Expression were correlated with RD of left peduncle body of corpus callosum (r = -0.902, P < 0.05). Conclusion There are developmental disorders of brain white matter in children with ASD, which may involve in mentality, development and clinical features.
ABSTRACT
Objective To assess the changes of white matter microstructure in neuromyelitis optica spectrum disorders (NMOSD) with DTI based on tract-based spatial statistics (TBSS) method.Methods Conventional MR and DTI were performed in 20 NMOSD patients (NMOSD group) and 20 healthy volunteers (control group).DTI data were analyzed with TBSS procedure,which was a part of FSL software packages,and non-parametric statistical analysis was performed on the whole brain.Correlation between FA value of tracts with significant difference in NMOSD group and expanded disability status scale (EDSS) scores was analyzed.Results TBSS analysis revealed significantly (P＜ 0.05,FWE corrected) extensive decrease of FA value in cerebrum and cerebellum white matter fiber bundles,i.e.corpus callosum,fornix,corticospinal tract,unciform fasciculus,cerebellar peduncles etc.in NMOSD group,and decrease of AD value,increase of RD value in cingulum bundle,corpus callosum and fornix,while MD value only increased in fornix and retrolenticular part of the left internal capsule (P＜0.05,FWE corrected).Negative correlations were found between FA value of left uncinate fasciculus,right external capsule,left inferior cerebellar peduncle,bilateral anterior limb of internal capsule,medial lemniscus and EDSS scores (all P＜0.05).Conclusion Widespread white matter damage is observed in cerebrum and cerebellum in NMOSD patients by using TBSS analysis,which may partly correspond to the disabilities of NMOSD patients.However,the other microstructural changes of white matter tracts may suggest complicated pathological mechanism of NMOSD.
ABSTRACT
Objective To explore the white matter microstructural change between autism spectrum disorder(ASD) children and the healthy controls and it's correlation with the age and the clinical symptoms.Methods Thirty-three patients with ASD and thirty-three healthy controls (HC) matched for sex-,age-and handedness underwent diffusion tensor imaging (DTI) scans.Use the Autism Diagnostic Observation Schedule(ADOS) and the Neuropsychological Development Inventory for Children Aged 0-6 Years Old (SLAS) to assess the clinical symptoms.Use tract-based spatial statistics (TBSS) based on fiber skeleton to analyze the fractional anisotropy (FA) of the whole brain DTI then to identify the differentiated brain regions.And analyze the correlation with age and clinical symptoms.Results (1) FA value of the body of corpus callosum (BCC) (x =-10,y =11,z =26;P=0.0012),left posterior limb of internal capsule (LPLI) (x =-23,y =-11,z =12;P＜0.01),left anterior corona radiata (LACR) (x =-28,y =28,z =16;P＜ 0.01),lift superior corona radiata(LSCR) (x=-27,y=-1,z=21;P=0.0017) was significantly lower in ASD group.(2) There was a positive correlation between the FA value of LPLI and the LACR,LSCR with age among the ASD group(r=0.436,P=0.012;r=0.443,P=0.010;r=0.475,P=0.005).There was a negative correlation between the FA value of the BCC,LPLI and the LACR,LSCR with the age among the HC children.(3) There was a correlation between the LPLI with the score of A DOS (communication:r=0.406,P=0.025;communication+social behavior:r=0.377,P=0.039;restrictive interests and repetitive behaviors:r=0.375,P=0.041) and SLAS (gross motor:r=-0.409,P=0.024),There was a correlation between the LSCR with the score of the SLAS (gross motor:r=-0.539,P=0.002,adaptive capacity:r=-0.373,P=0.041,mental age:r=-0.388,P=0.034).Conclusion The brain white matter microstructure change of BCC,LPLI,LACR,LSCR may be the pathophysiological basis of ASD.The development trend of brain white matter structure varied with age in ASD children is different from that of normal children.Brain white matter microstructure of the LPLI,LSCR is correlation with ASD symptoms.
ABSTRACT
Objective To explore the white matter microstructural change between autism spectrum disorder(ASD) children and the healthy controls and it's correlation with the age and the clinical symptoms.Methods Thirty-three patients with ASD and thirty-three healthy controls (HC) matched for sex-,age-and handedness underwent diffusion tensor imaging (DTI) scans.Use the Autism Diagnostic Observation Schedule(ADOS) and the Neuropsychological Development Inventory for Children Aged 0-6 Years Old (SLAS) to assess the clinical symptoms.Use tract-based spatial statistics (TBSS) based on fiber skeleton to analyze the fractional anisotropy (FA) of the whole brain DTI then to identify the differentiated brain regions.And analyze the correlation with age and clinical symptoms.Results (1) FA value of the body of corpus callosum (BCC) (x =-10,y =11,z =26;P=0.0012),left posterior limb of internal capsule (LPLI) (x =-23,y =-11,z =12;P＜0.01),left anterior corona radiata (LACR) (x =-28,y =28,z =16;P＜ 0.01),lift superior corona radiata(LSCR) (x=-27,y=-1,z=21;P=0.0017) was significantly lower in ASD group.(2) There was a positive correlation between the FA value of LPLI and the LACR,LSCR with age among the ASD group(r=0.436,P=0.012;r=0.443,P=0.010;r=0.475,P=0.005).There was a negative correlation between the FA value of the BCC,LPLI and the LACR,LSCR with the age among the HC children.(3) There was a correlation between the LPLI with the score of A DOS (communication:r=0.406,P=0.025;communication+social behavior:r=0.377,P=0.039;restrictive interests and repetitive behaviors:r=0.375,P=0.041) and SLAS (gross motor:r=-0.409,P=0.024),There was a correlation between the LSCR with the score of the SLAS (gross motor:r=-0.539,P=0.002,adaptive capacity:r=-0.373,P=0.041,mental age:r=-0.388,P=0.034).Conclusion The brain white matter microstructure change of BCC,LPLI,LACR,LSCR may be the pathophysiological basis of ASD.The development trend of brain white matter structure varied with age in ASD children is different from that of normal children.Brain white matter microstructure of the LPLI,LSCR is correlation with ASD symptoms.
ABSTRACT
Objective To observe microstructural changes of white matter in Alzheimer's disease (AD),and to find out the relationship between white matters lesion and declined cognition.Methods Twenty-four AD patients and 24 controls with normal cognition performed diffusion tensor imaging MR scan.Tract-based spatial statistical analysis (TBSS) was used to investigate microstructural change of white matter,and then its correlation with Mini-Mental State Examination (MMSE) scores was analyzed.Results Fractional anisotropy (FA) values were decreased in corpus callosum,fornix,left corticospinal tract,bilateral cerebral peduncle,superior cerebellar peduncle,internal capsule,corona radiata,posterior thalamic radiation,sagittal stratum including inferior longitidinal fasciculus and inferior fronto-occipital fasciculus,external capsule,cingulate gyrns,hippocampus,superior longitudinal fasciculus and uncinate fasciculus,while mean diffusivity (MD) values were increased in fornix,left hippocampus,bilateral internal capsule,corona radiata,posterior thalamic radiation,sagittal stratum including inferior longitidinal fasciculus and inferior fronto-occipital fasciculus,external capsule,cingulate gyrus,superior longitudinal fasciculus,superior fronto-occipital fasciculus and uncinate fasciculus (all P ＜ 0.05,threshold-free cluster enhancement corrected).MMSE scores had a positive correlation with decreased FA values of left sagittal stratum (r =0.535,P =0.007) and negative correlations with increased MD values of left sagittal stratum (r =-0.427,P =0.037),left superior longitudinal fasciculus (r =-0.424,P =0.039) and left uncinate fasciculus (r =-0.505,P =0.012).Conclusions There exist widespread white matter lesions in AD with impairment of white matter connections of intra-and inter-hemispheres.Impaired white matters in left hemisphere may have close relationships with cognition decline.
ABSTRACT
Purpose To observe white matter structure features of patients with early stage (Hoehn-Yahr 1-2 phase) Parkinson''s disease (PD) by using diffusion tensor imaging (DTI) based on the fiber bundle analysis tract-based spatial statistics (TBSS); and to explore the brain regions of PD patients in which DTI parameters are significantly correlated with unified Parkinson''s disease rating scale (UPDRS) score elevation. Materials and Methods DTI sequence was performed on 27 cases of PD and 30 cases of healthy volunteers. DTI parameters including fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were analyzed in all participants by using TBSS technique, and the parameters of two groups were compared. The correlation of clinical UPDRS score with FA value, MD and RD value in the PD group were analyzed.Results Compared with that in the control group, FA values of several brain regions in PD group decreased, while MD and RD value increased (P0.05). UPDRS score of PD group was correlated with FA, MD and RD value (P=0.001). The brain regions that showed FA value decreased, MD and RD value increased included corpus callosum, left anterior limb of internal capsule, bilateral anterior radial crown, bilateral superior radial crown and left posterior thalamic radiation (P=0.001).Conclusion There is some changes in white matter structure of the patients with early stage Parkinson''s disease, which may due to demyelination or fiber integrity damaged.
ABSTRACT
PURPOSE: To evaluate white matter abnormalities on diffusion tensor imaging (DTI) in patients with mild Alzheimer disease (AD) and mild cognitive impairment (MCI), using tract-based spatial statistics (TBSS) and voxel-based morphometry (VBM). MATERIALS AND METHODS: DTI was performed in 21 patients with mild AD, in 13 with MCI and in 16 old healthy subjects. A fractional anisotropy (FA) map was generated for each participant and processed for voxel-based comparisons among the three groups using TBSS. For comparison, DTI data was processed using the VBM method, also. RESULTS: TBSS showed that FA was significantly lower in the AD than in the old healthy group in the bilateral anterior and right posterior corona radiata, the posterior thalamic radiation, the right superior longitudinal fasciculus, the body of the corpus callosum, and the right precuneus gyrus. VBM identified additional areas of reduced FA, including both uncinates, the left parahippocampal white matter, and the right cingulum. There were no significant differences in FA between the AD and MCI groups, or between the MCI and old healthy groups. CONCLUSION: TBSS showed multifocal abnormalities in white matter integrity in patients with AD compared with old healthy group. VBM could detect more white matter lesions than TBSS, but with increased artifacts.