1.Alterations of diffusion kurtosis measures in gait-related white matter in the "ON-OFF state" of Parkinson's disease.
Xuan WEI ; Shiya WANG ; Mingkai ZHANG ; Ying YAN ; Zheng WANG ; Wei WEI ; Houzhen TUO ; Zhenchang WANG
Chinese Medical Journal 2025;138(9):1094-1102
BACKGROUND:
Gait impairment is closely related to quality of life in patients with Parkinson's disease (PD). This study aimed to explore alterations in brain microstructure in PD patients and healthy controls (HCs) and to identify the correlation of gait impairment in the ON and OFF states of patients with PD, respectively.
METHODS:
We enrolled 24 PD patients and 29 HCs from the Movement Disorders Program at Beijing Friendship Hospital Capital Medical University between 2019 and 2020. We acquired magnetic resonance imaging (MRI) scans and processed the diffusion kurtosis imaging (DKI) images. Preprocessing of diffusion-weighted data was performed with Mrtrix3 software, using a directional distribution function to track participants' main white matter fiber bundles. Demographic and clinical characteristics were recorded. Quantitative gait and clinical scales were used to assess the status of medication ON and OFF in PD patients.
RESULTS:
The axial kurtosis (AK), mean kurtosis (MK), and radial kurtosis (RK) of five specific white matter fiber tracts, the bilateral corticospinal tract, left superior longitudinal fasciculus, left anterior thalamic radiation, forceps minor, and forceps major were significantly higher in PD patients compared to HCs. Additionally, the MK values were negatively correlated with Timed Up and Go Test (TUG) scores in both the ON and OFF in PD patients. Within the PD group, higher AK, MK, and RK values, whether the patients were ON or OFF, were associated with better gait performance (i.e., higher velocity and stride length).
CONCLUSIONS
PD exhibits characteristic regional patterns of white matter microstructural degradation. Correlations between objective gait parameters and DKI values suggest that dopamine-responsive gait function depends on preserved white matter microstructure. DKI-based Tract-Based Spatial Statistics (TBSS) analysis may serve as a tool for evaluating PD-related motor impairments (e.g., gait impairment) and could yield potential neuroimaging biomarkers.
Humans
;
Parkinson Disease/diagnostic imaging*
;
White Matter/physiopathology*
;
Male
;
Female
;
Middle Aged
;
Aged
;
Gait/physiology*
;
Diffusion Magnetic Resonance Imaging/methods*
;
Diffusion Tensor Imaging/methods*
2.Graph Neural Networks and Multimodal DTI Features for Schizophrenia Classification: Insights from Brain Network Analysis and Gene Expression.
Jingjing GAO ; Heping TANG ; Zhengning WANG ; Yanling LI ; Na LUO ; Ming SONG ; Sangma XIE ; Weiyang SHI ; Hao YAN ; Lin LU ; Jun YAN ; Peng LI ; Yuqing SONG ; Jun CHEN ; Yunchun CHEN ; Huaning WANG ; Wenming LIU ; Zhigang LI ; Hua GUO ; Ping WAN ; Luxian LV ; Yongfeng YANG ; Huiling WANG ; Hongxing ZHANG ; Huawang WU ; Yuping NING ; Dai ZHANG ; Tianzi JIANG
Neuroscience Bulletin 2025;41(6):933-950
Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans
;
Schizophrenia/pathology*
;
Diffusion Tensor Imaging/methods*
;
Male
;
Female
;
Adult
;
Brain/metabolism*
;
Young Adult
;
Middle Aged
;
White Matter/pathology*
;
Gene Expression
;
Nerve Net/diagnostic imaging*
;
Graph Neural Networks
4.Clinical characteristics and treatment of spinal cord injury in children and adolescents.
Jin-Zuo WANG ; Ming YANG ; Meng MENG ; Zhong-Hai LI
Chinese Journal of Traumatology 2023;26(1):8-13
Pediatric and adult spinal cord injuries (SCI) are distinct entities. Children and adolescents with SCI must suffer from lifelong disabilities, which is a heavy burden on patients, their families and the society. There are differences in Chinese and foreign literature reports on the incidence, injury mechanism and prognosis of SCI in children and adolescents. In addition to traumatic injuries such as car accidents and falls, the proportion of sports injuries is increasing. The most common sports injury is the backbend during dance practice. Compared with adults, children and adolescents are considered to have a greater potential for neurological improvement. The pathogenesis and treatment of pediatric SCI remains unclear. The mainstream view is that the mechanism of nerve damage in pediatric SCI include flexion, hyperextension, longitudinal distraction and ischemia. We also discuss the advantages and disadvantages of drugs such as methylprednisolone in the treatment of pediatric SCI and the indications and timing of surgery. In addition, the complications of pediatric SCI are also worthy of attention. New imaging techniques such as diffusion tensor imaging and diffusion tensor tractography may be used for diagnosis and assessment of prognosis. This article reviews the epidemiology, pathogenesis, imaging, clinical characteristics, treatment and complications of SCI in children and adolescents. Although current treatment cannot completely restore neurological function, patient quality of life can be enhanced. Continued developments and advances in the research of SCI may eventually provide a cure for children and adolescents with this kind of injury.
Adult
;
Child
;
Humans
;
Adolescent
;
Diffusion Tensor Imaging/methods*
;
Quality of Life
;
Spinal Cord Injuries/therapy*
;
Prognosis
;
Athletic Injuries
;
Spinal Cord/pathology*
5.Efficacy and mechanism of scalp acupuncture for spastic cerebral palsy.
Chinese Acupuncture & Moxibustion 2023;43(2):163-169
OBJECTIVE:
To observe the clinical efficacy of scalp acupuncture for spastic cerebral palsy (CP), and to explore its possible mechanism based on brain white matter fiber bundles, nerve growth related proteins and inflammatory cytokines.
METHODS:
A total of 90 children with spastic CP were randomly divided into a scalp acupuncture group and a sham scalp acupuncture group, 45 cases in each group. The children in the two groups were treated with conventional comprehensive rehabilitation treatment. The children in the scalp acupuncture group were treated with scalp acupuncture at the parietal temporal anterior oblique line, parietal temporal posterior oblique line on the affected side, and parietal midline. The children in the sham scalp acupuncture group were treated with scalp acupuncture at 1 cun next to the above point lines. The needles were kept for 30 min, once a day, 5 days a week, for 12 weeks. Before and after treatment, the diffusion tensor imaging (DTI) indexes of magnetic resonance (FA values of corticospinal tract [CST], anterior limb of internal capsule [ICAL], posterior limb of internal capsule [ICPL], genu of internal capsule [ICGL], genu of corpus callosum [GCC], body of corpus callosum [BCC] and splenium of corpus callosum [SCC]), serum levels of nerve growth related proteins (neuron-specific enolase [NSE], glial fibrillary acidic protein [GFAP], myelin basic protein [MBP], ubiquitin carboxy terminal hydrolase-L1 [UCH-L1]) and inflammatory cytokines (interleukin 33 [IL-33], tumor necrosis factor α [TNF-α]), cerebral hemodynamic indexes (mean blood flow velocity [Vm], systolic peak flow velocity [Vs] and resistance index [RI], pulsatility index [PI] of cerebral artery), surface electromyography (SEMG) signal indexes (root mean square [RMS] values of rectus femoris, hamstring muscles, gastrocnemius muscles, tibialis anterior muscles), gross motor function measure-88 (GMFM-88) score, modified Ashworth scale (MAS) score, ability of daily living (ADL) score were observed in the two groups. The clinical effect of the two groups was compared.
RESULTS:
After treatment, the FA value of each fiber bundle, Vm, Vs, GMFM-88 scores and ADL scores in the two groups were higher than those before treatment (P<0.05), and the above indexes in the scalp acupuncture group were higher than those in the sham scalp acupuncture group (P<0.05). After treatment, the serum levels of NSE, GFAP, MBP, UCH-L1, IL-33, TNF-α as well as RI, PI, MAS scores and RMS values of each muscle were lower than those before treatment (P<0.05), and the above indexes in the scalp acupuncture group were lower than those in the sham scalp acupuncture group (P<0.05). The total effective rate was 95.6% (43/45) in the scalp acupuncture group, which was higher than 82.2% (37/45) in the sham scalp acupuncture group (P<0.05).
CONCLUSION
Scalp acupuncture could effectively treat spastic CP, improve the cerebral hemodynamics and gross motor function, reduce muscle tension and spasticity, and improve the ability of daily life. The mechanism may be related to repairing the white matter fiber bundles and regulating the levels of nerve growth related proteins and inflammatory cytokines.
Child
;
Humans
;
Cerebral Palsy/therapy*
;
Interleukin-33
;
Diffusion Tensor Imaging/methods*
;
Scalp
;
Muscle Spasticity
;
Tumor Necrosis Factor-alpha
;
Acupuncture Therapy
;
Cytokines
6.Reproducible Abnormalities and Diagnostic Generalizability of White Matter in Alzheimer's Disease.
Yida QU ; Pan WANG ; Hongxiang YAO ; Dawei WANG ; Chengyuan SONG ; Hongwei YANG ; Zengqiang ZHANG ; Pindong CHEN ; Xiaopeng KANG ; Kai DU ; Lingzhong FAN ; Bo ZHOU ; Tong HAN ; Chunshui YU ; Xi ZHANG ; Nianming ZUO ; Tianzi JIANG ; Yuying ZHOU ; Bing LIU ; Ying HAN ; Jie LU ; Yong LIU
Neuroscience Bulletin 2023;39(10):1533-1543
Alzheimer's disease (AD) is associated with the impairment of white matter (WM) tracts. The current study aimed to verify the utility of WM as the neuroimaging marker of AD with multisite diffusion tensor imaging datasets [321 patients with AD, 265 patients with mild cognitive impairment (MCI), 279 normal controls (NC)], a unified pipeline, and independent site cross-validation. Automated fiber quantification was used to extract diffusion profiles along tracts. Random-effects meta-analyses showed a reproducible degeneration pattern in which fractional anisotropy significantly decreased in the AD and MCI groups compared with NC. Machine learning models using tract-based features showed good generalizability among independent site cross-validation. The diffusion metrics of the altered regions and the AD probability predicted by the models were highly correlated with cognitive ability in the AD and MCI groups. We highlighted the reproducibility and generalizability of the degeneration pattern of WM tracts in AD.
Humans
;
White Matter/diagnostic imaging*
;
Diffusion Tensor Imaging/methods*
;
Alzheimer Disease/complications*
;
Reproducibility of Results
;
Cognition
;
Cognitive Dysfunction/complications*
;
Brain/diagnostic imaging*
7.Mini-Review of Studies Reporting the Repeatability and Reproducibility of Diffusion Tensor Imaging
Jeong Pyo SEO ; Young Hyeon KWON ; Sung Ho JANG
Investigative Magnetic Resonance Imaging 2019;23(1):26-33
PURPOSE: Diffusion tensor imaging (DTI) data must be analyzed by an analyzer after data processing. Hence, the analyzed data of DTI might depend on the analyzer, making it a major limitation. This paper reviewed previous DTI studies reporting the repeatability and reproducibility of data from the corticospinal tract (CST), one of the most actively researched neural tracts on this topic. MATERIALS AND METHODS: Relevant studies published between January 1990 and December 2018 were identified by searching PubMed, Google Scholar, and MEDLINE electronic databases using the following keywords: DTI, diffusion tensor tractography, reliability, repeatability, reproducibility, and CST. As a result, 15 studies were selected. RESULTS: Measurements of the CSTs using region of interest methods on 2-dimensional DTI images generally showed excellent repeatability and reproducibility of more than 0.8 but high variability (0.29 to 1.00) between studies. In contrast, measurements of the CST using the 3-dimensional DTT method not only revealed excellent repeatability and reproducibility of more than 0.9 but also low variability (repeatability, 0.88 to 1.00; reproducibility, 0.82 to 0.99) between studies. CONCLUSION: Both 2-dimensional DTI and 3-dimensional DTT methods appeared to be reliable for measuring the CST but the 3-dimensional DTT method appeared to be more reliable.
Diffusion Tensor Imaging
;
Diffusion
;
Methods
;
Pyramidal Tracts
8.White Matter Deficits Underlying the Impaired Consciousness Level in Patients with Disorders of Consciousness.
Xuehai WU ; Jiaying ZHANG ; Zaixu CUI ; Weijun TANG ; Chunhong SHAO ; Jin HU ; Jianhong ZHU ; Yao ZHAO ; Lu LU ; Gang CHEN ; Georg NORTHOFF ; Gaolang GONG ; Ying MAO ; Yong HE
Neuroscience Bulletin 2018;34(4):668-678
In this study, we aimed to (1) identify white matter (WM) deficits underlying the consciousness level in patients with disorders of consciousness (DOCs) using diffusion tensor imaging (DTI), and (2) evaluate the relationship between DTI metrics and clinical measures of the consciousness level in DOC patients. With a cohort of 8 comatose, 8 unresponsive wakefulness syndrome/vegetative state, and 14 minimally conscious state patients and 25 patient controls, we performed group comparisons of the DTI metrics in 48 core WM regions of interest (ROIs), and examined the clinical relevance using correlation analysis. We identified multiple abnormal WM ROIs in DOC patients compared with normal controls, and the DTI metrics in these ROIs were significantly correlated with clinical measures of the consciousness level. Therefore, our findings suggested that multiple WM tracts are involved in the impaired consciousness levels in DOC patients and demonstrated the clinical relevance of DTI for DOC patients.
Adult
;
Brain Stem
;
diagnostic imaging
;
Consciousness
;
physiology
;
Consciousness Disorders
;
diagnostic imaging
;
pathology
;
Diffusion Tensor Imaging
;
methods
;
Female
;
Humans
;
Image Processing, Computer-Assisted
;
methods
;
Male
;
Middle Aged
;
White Matter
;
pathology
;
physiopathology
9.Super-Resolution Track-Density Imaging Reveals Fine Anatomical Features in Tree Shrew Primary Visual Cortex and Hippocampus.
Jian-Kun DAI ; Shu-Xia WANG ; Dai SHAN ; Hai-Chen NIU ; Hao LEI
Neuroscience Bulletin 2018;34(3):438-448
Diffusion-weighted magnetic resonance imaging (dMRI) is widely used to study white and gray matter (GM) micro-organization and structural connectivity in the brain. Super-resolution track-density imaging (TDI) is an image reconstruction method for dMRI data, which is capable of providing spatial resolution beyond the acquired data, as well as novel and meaningful anatomical contrast that cannot be obtained with conventional reconstruction methods. TDI has been used to reveal anatomical features in human and animal brains. In this study, we used short track TDI (stTDI), a variation of TDI with enhanced contrast for GM structures, to reconstruct direction-encoded color maps of fixed tree shrew brain. The results were compared with those obtained with the traditional diffusion tensor imaging (DTI) method. We demonstrated that fine microstructures in the tree shrew brain, such as Baillarger bands in the primary visual cortex and the longitudinal component of the mossy fibers within the hippocampal CA3 subfield, were observable with stTDI, but not with DTI reconstructions from the same dMRI data. The possible mechanisms underlying the enhanced GM contrast are discussed.
Animals
;
Brain Mapping
;
Diffusion Tensor Imaging
;
methods
;
Hippocampus
;
diagnostic imaging
;
Image Processing, Computer-Assisted
;
methods
;
Male
;
Neural Pathways
;
diagnostic imaging
;
Tupaiidae
;
anatomy & histology
;
Visual Cortex
;
diagnostic imaging
10.Significance of Diffusion Tensor Imaging of Vastus Medialis Oblique in Recurrent Patellar Dislocation.
Li-Si LIU ; Zhuo-Zhao ZHENG ; Hui-Shu YUAN
Chinese Medical Journal 2017;130(6):642-646
BACKGROUNDNumerous studies have investigated the influence of osseous factors on patellofemoral joint instability, but research on the influence of dynamic muscle factors in vivo is still in the exploratory stage. This study aimed to use magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) to evaluate vastus medialis oblique (VMO) fiber bundles in patients with recurrent patellar dislocation to explore the changes in muscle morphology and function.
METHODSThis prospective study involved 30 patients (7 males and 23 females; average age, 21.4 ± 3.8 years) clinically diagnosed with recurrent patellar dislocation in Peking University Third Hospital and 30 healthy volunteers matched for age, sex, and body mass index in our medical school between January 2014 and October 2014. None of the patients had a recent history of traumatic patellar dislocation or transient patellar dislocation. All patients underwent conventional MRI and DTI of the knee. The cross-sectional area of the VMO on MRI and the fractional anisotropy (FA), apparent diffusion coefficient (ADC), and primary (λ1), secondary (λ2), and three-level characteristic (λ3) values on DTI were measured. The independent-samples t-test was used to compare these parameters between the two groups.
RESULTSCompared with the control group, the patient group showed significantly higher FA values (0.39 ± 0.05 vs. 0.33 ± 0.03) and significantly lower ADC (1.51 ± 0.13 vs. 1.58 ± 0.07), λ2 (4.96 ± 0.13 vs. 5.04 ± 0.07), and λ3 values (4.44 ± 0.14 vs. 4.58 ± 0.07; t = 5.99, t = -2.58, t = -3.02, and t = -4.88, respectively; all P < 0.05). Cross-sectional VMO area and λ1 values did not differ between the two groups (t = -1.82 and t = 0.22, respectively; both P > 0.05).
CONCLUSIONSThe functional status of the VMO is closely associated with recurrent patellar dislocation. MRI, especially DTI (FA, ADC, λ2, and λ3), can detect early changes in VMO function and might facilitate the noninvasive monitoring of the functional status of the VMO in patients with recurrent patellar dislocation.
Adolescent ; Adult ; Child ; Diffusion Tensor Imaging ; methods ; Female ; Humans ; Knee Joint ; pathology ; Magnetic Resonance Imaging ; Male ; Patella ; pathology ; Patellar Dislocation ; diagnosis ; Prospective Studies ; Quadriceps Muscle ; pathology ; Sensitivity and Specificity ; Young Adult

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