Motor cortex gliomas induces microstructural changes of large fiber tracts revealed by TBSS

Abstract Gliomas grow and invade along white matter fiber tracts. This study assessed the effects of motor cortex gliomas on the cerebral white matter fiber bundle skeleton. The motor cortex glioma group included 21 patients, and the control group comprised 14 healthy volunteers. Both groups underwent magnetic resonance imaging-based 3.0 T diffusion tensor imaging. We used tract-based spatial statistics to analyze the characteristics of white matter fiber bundles. The left and right motor cortex glioma groups were analyzed separately from the control group. Results were statistically corrected by the family-wise error rate. Compared with the controls, patients with left motor cortex gliomas exhibited significantly reduced fractional anisotropy and an increased radial diffusivity in the corpus callosum. The alterations in mean diffusivity (MD) and the axial diffusivity (AD) were widely distributed throughout the brain. Furthermore, atlas-based analysis showed elevated MD and AD in the contralateral superior fronto-occipital fasciculus. Motor cortex gliomas significantly affect white matter fiber microstructure proximal to the tumor. The range of affected white matter fibers may extend beyond the tumor-affected area. These changes are primarily related to early stage tumor invasion.

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Abstract T MP118: Microinfarct Disruption of Cerebral White Matter: A Longitudinal Diffusion Tractography Analysis

Stroke ◽

10.1161/str.45.suppl_1.tmp118 ◽

2014 ◽

Vol 45 (suppl_1) ◽

Author(s):

Eitan Auriel ◽

Yael Reijmar ◽

Brian Edlow ◽

Panagiotis Fotiadis ◽

Sergi Martinez-Ramirez ◽

...

Keyword(s):

White Matter ◽

Cognitive Decline ◽

Longitudinal Analysis ◽

Diffusion Tensor ◽

Mean Diffusivity ◽

Cerebral White Matter ◽

Amyloid Angiopathy ◽

Longitudinal Diffusion ◽

Short Segment ◽

Fiber Tracts

Introduction: Cerebral microinfarcts (CMI) are associated with cognitive decline in clinico-pathological studies. Acute CMI can be detected by diffusion-weighted imaging (DWI). We prospectively evaluated the effect of incidental CMI on white matter (WM) ultrastructure using longitudinal diffusion tensor imaging (DTI)-based tractography. Methods: Nine incidental DWI lesions were identified in six subjects (all males, age 67±9 years, mean pre-to-post lesional scan interval 19±4 months). All patients were diagnosed with probable cerebral amyloid angiopathy and underwent at least three MRIs as part of a prospective study. Silent DWI lesions were observed on the middle scan, enabling longitudinal analysis. Control regions-of-interest (ROIs) were generated in the contralateral hemisphere using semi-automated coregistration, and the lesion/control ROIs were coregistered to the pre- and post-lesional scans. DTI parameters [fractional anisotropy (FA); mean diffusivity (MD)] were measured within each ROI, along a short-segment of WM fiber tracts (within 6mm of the ROI), and along the entire tract. For the lesional scan, we compared DTI parameters between lesion and control ROIs. For the longitudinal analysis, we compared the ratio of lesion-to-control FA and MD at the pre-lesional and post-lesional scans. Results: On the lesional scan, FA within the lesion ROI was significantly lower than in the control ROI (0.28±0.13 vs. 0.40±0.20, p=0.04) and MD was non-significantly reduced in the lesion ROI versus the control ROI (p=0.09). A significant decline within lesion ROI in FA ratio (1.22±0.45 vs. 0.91±0.439, p=0.04) and an increase in MD ratio (0.96±0.14 vs. 1.25±0.37, p=0.02) were observed between the pre-lesional and post-lesional scans. There was no difference in FA ratio or MD ratio for the short segment or entire tracts at the time of the lesion and in the longitudinal analysis. Conclusion: We demonstrate persistent microstructural alterations of WM caused by incidental DWI lesions. Although these alterations do not extend outside the lesional ROI to associated fiber tracts, their accumulation over time may explain their association with cognitive decline.

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Diffusion Tensor Imaging and Fiber Tractography

Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications ◽

10.4018/978-1-60566-314-2.ch015 ◽

2009 ◽

pp. 229-246

Author(s):

Evanthia E. Tripoliti ◽

Dimitrios I. Fotiadis ◽

Konstantia Veliou

Keyword(s):

Diffusion Tensor Imaging ◽

White Matter ◽

Diffusion Tensor ◽

Brain Regions ◽

Cerebral White Matter ◽

Tissue Microstructure ◽

Diffusion Weighted Images ◽

Fiber Tracts ◽

Diffusion Weighted ◽

Magnetic Resonance Imaging Mri

Diffusion Tensor Imaging (DTI) is a magnetic resonance imaging (MRI) modality which can significantly improve our understanding of the brain structures and neural connectivity. DTI measures are thought to be representative of brain tissue microstructure and are particularly useful for examining organized brain regions, such as white matter tract areas. DTI measures the water diffusion tensor using diffusion weighted pulse sequences which are sensitive to microscopic random water motion. The resulting diffusion weighted images (DWI) display and allow quantification of how water diffuses along axes or diffusion encoding directions. This can help to measure and quantify the tissue’s orientation and structure, making it an ideal tool for examining cerebral white matter and neural fiber tracts. In this chapter the authors discuss the theoretical aspects of DTI, the information that can be extracted from DTI data, and the use of the extracted information for the reconstruction of fiber tracts and the diagnosis of a disease. In addition, a review of known fiber tracking algorithms is presented.

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Deep microbleeds and periventricular white matter disintegrity are independent predictors of attention/executive dysfunction in non-dementia patients with small vessel disease

International Psychogeriatrics ◽

10.1017/s1041610216002118 ◽

2016 ◽

Vol 29 (5) ◽

pp. 793-803 ◽

Cited By ~ 4

Author(s):

Wen-wei Cao ◽

Yao Wang ◽

Quan Dong ◽

Xue Chen ◽

Yan-sheng Li ◽

...

Keyword(s):

Cognitive Impairment ◽

White Matter ◽

Diffusion Tensor ◽

Small Vessel Disease ◽

Early Stage ◽

Mean Diffusivity ◽

Executive Dysfunction ◽

Small Vessel ◽

Periventricular White Matter ◽

Vessel Disease

ABSTRACTBackground:Cerebral small vessel disease (SVD) is the common cause of cognitive decline in the old population. MRI can be used to clarify its mechanisms. However, the surrogate markers of MRI for early cognitive impairment in SVD remain uncertain to date. We investigated the cognitive impacts of cerebral microbleeds (CMBs), diffusion tensor imaging (DTI), and brain volumetric measurements in a cohort of post-stroke non-dementia SVD patients.Methods:Fifty five non-dementia SVD patients were consecutively recruited and categorized into two groups as no cognitive impairment (NCI) (n = 23) or vascular mild cognitive impairment (VaMCI) (n = 32). Detailed neuropsychological assessment and multimodal MRI were completed.Results:The two groups differed significantly on Z scores of all cognitive domains (all p < 0.01) except for the language. There were more patients with hypertension (p = 0.038) or depression (p = 0.019) in the VaMCI than those in the NCI group. Multiple regression analysis of cognition showed periventricular mean diffusivity (MD) (β = −0.457, p < 0.01) and deep CMBs numbers (β = −0.352, p < 0.01) as the predictors of attention/executive function, which explained 45.2% of the total variance. Periventricular MD was the independent predictor for either memory (β = −0.314, p < 0.05) or visuo-spatial function (β = −0.375, p < 0.01); however, only small proportion of variance could be accounted for (9.8% and 12.4%, respectively). Language was not found to be correlated with any of the MRI parameters. No correlation was found between brain atrophic indices and any of the cognitive measures.Conclusion:Arteriosclerotic CMBs and periventricular white matter disintegrity seem to be independent MRI surrogated markers in the early stage of cognitive impairment in SVD.

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Diffusion tensor imaging study of white matter fiber tracts in adolescent attention-deficit/hyperactivity disorder

Psychiatry Research Neuroimaging ◽

10.1016/j.pscychresns.2012.11.008 ◽

2013 ◽

Vol 211 (2) ◽

pp. 186-187 ◽

Cited By ~ 23

Author(s):

Tzu-Chao Chuang ◽

Ming-Ting Wu ◽

Sheng-Po Huang ◽

Mei-Jui Weng ◽

Pinchen Yang

Keyword(s):

Attention Deficit Hyperactivity Disorder ◽

Diffusion Tensor Imaging ◽

White Matter ◽

Attention Deficit ◽

Diffusion Tensor ◽

Imaging Study ◽

Hyperactivity Disorder ◽

Fiber Tracts ◽

White Matter Fiber Tracts ◽

Diffusion Tensor Imaging Study

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Cerebral white matter free water

Neurology ◽

10.1212/wnl.0000000000007449 ◽

2019 ◽

Vol 92 (19) ◽

pp. e2221-e2231 ◽

Cited By ~ 5

Author(s):

Pauline Maillard ◽

Evan Fletcher ◽

Baljeet Singh ◽

Oliver Martinez ◽

David K. Johnson ◽

...

Keyword(s):

White Matter ◽

Proportional Hazards ◽

Functional Performance ◽

Diffusion Tensor ◽

Mean Diffusivity ◽

Free Water ◽

Cox Proportional Hazards ◽

Cerebral White Matter ◽

Clinical Dementia Rating ◽

Cross Sectional

ObjectiveTo determine whether free water (FW) content, initially developed to correct metrics derived from diffusion tensor imaging and recently found to be strongly associated with vascular risk factors, may constitute a sensitive biomarker of white matter (WM) microstructural differences associated with cognitive performance but remains unknown.MethodsFive hundred thirty-six cognitively diverse individuals, aged 77 ± 8 years, received yearly comprehensive clinical evaluations and a baseline MRI examination of whom 224 underwent follow-up MRI. WM microstructural measures, including FW, fractional anisotropy, and mean diffusivity corrected for FW and WM hyperintensity burden were computed within WM voxels of each individual. Baseline and change in MRI metrics were then used as independent variables to explain baseline and change in episodic memory (EM), executive function (EF), and Clinical Dementia Rating (CDR) scores using linear, logistic, and Cox proportional-hazards regressions.ResultsHigher baseline FW and WM hyperintensity were associated with lower baseline EM and EF, higher baseline CDR, accelerated EF and EM decline, and higher probability to transition to a more severe CDR stage (p values <0.01). Annual change in FW was also found to be associated with concomitant change in cognitive and functional performance (p values <0.01).ConclusionsThis study finds cross-sectional and longitudinal associations between FW content and trajectory of cognitive and functional performance in a large sample of cognitively diverse individuals. It supports the need to investigate the pathophysiologic process that manifests increased FW, potentially leading to more severe WM territory injury and promoting cognitive and functional decline.

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Increased hippocampal-inferior temporal cortex white matter connectivity following donepezil treatment in patients with mild cognitive impairment: A diffusion tensor probabilistic tractography study

10.21203/rs.3.rs-954650/v1 ◽

2021 ◽

Author(s):

Gwang-Won Kim ◽

Kwangsung Park ◽

Gwang-Woo Jeong

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

White Matter ◽

Diffusion Tensor ◽

Early Stage ◽

Structural Connectivity ◽

Temporal Cortex ◽

Mean Diffusivity ◽

Inferior Temporal Cortex ◽

Probabilistic Tractography

Abstract The incidence of Alzheimer’s disease (AD) has been increasing each year; however, few methods are available to identify the effects of treatment for AD. Defective hippocampus has been associated with mild cognitive impairment (MCI), an early stage of AD. However, the effect of donepezil treatment on hippocampus-related networks is unknown. The purpose of this study was to evaluate the hippocampal white matter (WM) connectivity following donepezil treatment in patients with MCI using probabilistic tractography, and to further determine the WM integrity and changes in brain volume. Magnetic resonance imaging and diffusion tensor imaging (DTI) data of patients with MCI before and after 6-month donepezil treatment were acquired. Volumes and DTI scalars of 11 regions of interest comprising the frontal and temporal cortices and subcortical regions were measured. Seed-based structural connectivity analyses were focused on the hippocampus. Compared with healthy controls, patients with MCI showed significantly decreased hippocampal volume and WM connectivity with the superior frontal gyrus, as well as increased mean diffusivity (MD) and radial diffusivity (RD) in the amygdala (p < 0.05, Bonferroni-corrected). After six months of donepezil treatment, patients with MCI showed increased hippocampal-inferior temporal gyrus (ITG) WM connectivity (p < 0.05, Bonferroni-corrected), which was normalized to the healthy control. These findings will be useful in developing theories to describe the etiology of MCI and the therapeutic role of anticholinesterases.

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White Matter Abnormalities in Patients With Typhoon-Related Posttraumatic Stress Disorder

Frontiers in Human Neuroscience ◽

10.3389/fnhum.2021.665070 ◽

2021 ◽

Vol 15 ◽

Author(s):

Hui Juan Chen ◽

Rongfeng Qi ◽

Jun Ke ◽

Jie Qiu ◽

Qiang Xu ◽

...

Keyword(s):

Posttraumatic Stress Disorder ◽

White Matter ◽

Posttraumatic Stress ◽

Stress Disorder ◽

Clinical Symptoms ◽

Diffusion Tensor ◽

Traumatic Event ◽

Mean Diffusivity ◽

Cerebral White Matter ◽

White Matter Abnormalities

Patients with posttraumatic stress disorder (PTSD) might have white matter abnormalities. However, less is known about white matter changes after exposing a specific traumatic event. The purpose of this study was to explore the abnormalities of diffusion in cerebral white matter and its relationship with the clinical symptoms in patients with PTSD by using diffusion tensor imaging (DTI). Diffusion-weighted imaging of the cerebrum was performed in typhoon survivors with (n = 27) and without PTSD (n = 33) and healthy controls (HCs) (n = 30). Differences in fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were calculated among groups using voxel-based analysis of the DTI data. Correlations between diffusion indices and clinical symptoms in patients with PTSD were also assessed. Both patients with PTSD and trauma-exposed control (TEC) group showed increased FA in the anterior limb of the internal capsule, forceps of the corpus callosum, and corona radiata relative to the HC group. Additionally, there was a negative correlation between FA values in the white matter and the clinical symptoms. Trauma exposure may result in disruption of cerebral white matter in individuals with or without PTSD, particularly in the frontal fibers. Aberrant white matter alterations may be associated with the severity of PTSD symptoms.

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Postshunting corpus callosum swelling with depiction on tractography

Journal of Neurosurgery Pediatrics ◽

10.3171/2012.10.peds1242 ◽

2013 ◽

Vol 11 (2) ◽

pp. 178-180 ◽

Cited By ~ 1

Author(s):

Daniel T. Ginat ◽

Sanjay P. Prabhu ◽

Joseph R. Madsen

Keyword(s):

Diffusion Tensor Imaging ◽

White Matter ◽

Corpus Callosum ◽

Posterior Margin ◽

Diffusion Tensor ◽

The Body ◽

Transverse Orientation ◽

Chronic Hydrocephalus ◽

Fiber Tracts ◽

White Matter Fiber Tracts

Alterations in the appearance of the corpus callosum occasionally occur following successful ventricular decompression in patients with chronic hydrocephalus. There are certain features on imaging that suggest the diagnosis of what the authors propose be termed “postshunting corpus callosum swelling,” including diffuse high T2 signal predominantly affecting the body of the corpus callosum, with transverse orientation along the crossing white matter tracts and scalloping along the posterior margin of the structure. In this report, the authors demonstrate preservation of the corpus callosum white matter fiber tracts by using diffusion tensor imaging with tractography.

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Quantitative Diffusion Tensor Imaging (DTI) Analysis Reveals Different Infiltrative Patterns of Oligodendrogliomas and Astrocytomas in Peri-Tumour White Matter

Neurosurgery ◽

10.1093/neuros/nyz001.ni2 ◽

2019 ◽

Vol 84 (5) ◽

pp. E273-E273

Author(s):

Christopher Murphy ◽

Erjon Agushi ◽

Zhangjie Su ◽

Rainer Hinz ◽

Federico Roncaroli ◽

...

Keyword(s):

Diffusion Tensor Imaging ◽

White Matter ◽

Diffusion Tensor ◽

Mean Diffusivity ◽

Control Group ◽

Control Data ◽

Primary Brain Tumours ◽

Diffusion Parameters ◽

Grade Ii ◽

Diffusion Tensor Imaging Dti

Abstract INTRODUCTION Gliomas are highly infiltrative primary brain tumours. Glioma infiltration is difficult to identify clinically using conventional diagnostic imaging. We used diffusion tensor imaging (DTI) to identify glioma infiltration in peritumour white matter (WM) and characterized differences between histological subtypes. METHODS We recruited 8 patients with a histological diagnosis of grade II or III glioma and 10 healthy controls. We compared fractional anisotropy (FA) maps of each patient against the control group using SPM8 (Matlab 2014a) to identify regions of glioma infiltration. The FA and mean diffusivity (MD) of formerly WM matter tumour regions, infiltrated WM and normal appearing WM were compared with a 2-sample t-test and characterized with respect to normal control data. RESULTS Our results have identified radiological evidence of infiltration in the peri-tumour WM of glioma patients. The infiltrated region of oligodendrogliomas extended further than that of astrocytomas. Oligodendrogliomas preferentially infiltrated larger WM tracts, whereas astrocytomas infiltrated more peripheral WM. In all grades, the 3 regions had significantly different diffusion parameters and there were significant differences between oligodendrogliomas and astrocytomas. CONCLUSION We identified previously unrecognized study wide significant changes in the peri-tumour WM of gliomas. Despite the known propensity of these tumours to infiltrate WM we found no significant DTI changes distant to the tumour. Our DTI results suggest oligodendrogliomas and astrocytomas demonstrate different infiltrative patterns, which highlights the need for astrocytomas and oligodendrogliomas to be studied separately.

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Diffusion tensor imaging correlates of hippocampal sclerosis and anterior temporal lobe T2 signal changes in pharmacoresistant epilepsy

International Journal of Epilepsy ◽

10.1016/j.ijep.2014.05.003 ◽

2014 ◽

Vol 01 (01) ◽

pp. 001-007 ◽

Cited By ~ 1

Author(s):

Kevin Spitler ◽

Francis Tirol ◽

Itzhak Fried ◽

Jerome Engel ◽

Noriko Salamon

Keyword(s):

Diffusion Tensor Imaging ◽

White Matter ◽

Temporal Lobe ◽

Diffusion Tensor ◽

Hippocampal Sclerosis ◽

Anterior Temporal Lobe ◽

Pharmacoresistant Epilepsy ◽

Fiber Tracts ◽

White Matter Fiber Tracts ◽

The Right

AbstractBackground and purpose Our goal was to determine fiber tract integrity in hippocampal sclerosis (HS) using diffusion tensor imaging (DTI) and to correlate white matter damage with other pathology in this disease.Methods Twenty-six patients and eight controls were studied with DTI tractography for 8 pairs of white matter fiber tracts and 2 commissural tracts. Fractional anisotropy (FA) of the fiber tracts was compared with controls. The FA of select fiber tracts was also compared with change in T2 signal in the anterior temporal lobe (ATC), and the performance on neuropsychological tests.Results In comparison with controls, subjects with left sided hippocampal sclerosis (L-HS) had 3 ipsilateral fiber tracts with decreased FA. The FA of fiber tracts was similar in right sided HS (R-HS) to controls. The ipsilateral inferior longitudinal fasciculus had a decrease in FA that correlated with the ATC (T2 signal change). The right superior longitudinal fasciculus had a decrease in FA proportional to lower performance on tests of memory and language.Conclusion The subjects with L-HS had more extensive structural abnormalities involving white matter tracts, both ipsilateral and contralateral. In contrast, subjects with R-HS had limited changes in white matter integrity. Pathology of white matter appears to be involved in deficits associated with HS, including ATC and cognitive performance.

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