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Diffusion tensor

Jing Jiang, You-Jin Zhao, Xin-Yu Hu, Ming-Ying Du, Zi-Qi Chen, Min Wu, Kai-Ming Li, Hong-Yan Zhu, Poornima Kumar, Qi-Yong Gong
BACKGROUND: Multiple meta-analyses of diffusion tensor imaging (DTI) studies have reported impaired white matter integrity in patients with major depressive disorder (MDD). However, owing to inclusion of medicated patients in these studies, it is difficult to conclude whether these reported alterations are associated with MDD or confounded by medication effects. A meta-analysis of DTI studies on medication-free (medication-naive and medication washout) patients with MDD would therefore be necessary to disentangle MDD-specific effects...
October 25, 2016: Journal of Psychiatry & Neuroscience: JPN
Xueling Suo, Du Lei, Fuqin Chen, Min Wu, Lei Li, Ling Sun, Xiaoli Wei, Hongyan Zhu, Lingjiang Li, Graham J Kemp, Qiyong Gong
Purpose To use diffusion-tensor (DT) imaging and graph theory approaches to explore the brain structural connectome in pediatric posttraumatic stress disorder (PTSD). Materials and Methods This study was approved by the relevant research ethics committee, and all participants' parents or guardians provided informed consent. Twenty-four pediatric patients with PTSD and 23 control subjects exposed to trauma but without PTSD were recruited after the 2008 Sichuan earthquake. The structural connectome was constructed by using DT imaging tractography and thresholding the mean fractional anisotropy of 90 brain regions to yield 90 × 90 partial correlation matrixes...
October 25, 2016: Radiology
Gianluca Coppola, Antonio Di Renzo, Emanuele Tinelli, Chiara Lepre, Cherubino Di Lorenzo, Giorgio Di Lorenzo, Marco Scapeccia, Vincenzo Parisi, Mariano Serrao, Claudio Colonnese, Jean Schoenen, Francesco Pierelli
BACKGROUND: Resting state magnetic resonance imaging allows studying functionally interconnected brain networks. Here we were aimed to verify functional connectivity between brain networks at rest and its relationship with thalamic microstructure in migraine without aura (MO) patients between attacks. METHODS: Eighteen patients with untreated MO underwent 3 T MRI scans and were compared to a group of 19 healthy volunteers (HV). We used MRI to collect resting state data among two selected resting state networks, identified using group independent component (IC) analysis...
December 2016: Journal of Headache and Pain
Min Xiao, Haitao Ge, Budhachandra S Khundrakpam, Junhai Xu, Gleb Bezgin, Yuan Leng, Lu Zhao, Yuchun Tang, Xinting Ge, Seun Jeon, Wenjian Xu, Alan C Evans, Shuwei Liu
Functional neuroimaging studies have indicated the involvement of separate brain areas in three distinct attention systems: alerting, orienting, and executive control (EC). However, the structural correlates underlying attention remains unexplored. Here, we utilized graph theory to examine the neuroanatomical substrates of the three attention systems measured by attention network test (ANT) in 65 healthy subjects. White matter connectivity, assessed with diffusion tensor imaging deterministic tractography was modeled as a structural network comprising 90 nodes defined by the automated anatomical labeling (AAL) template...
2016: Frontiers in Behavioral Neuroscience
Michael Connor, Roshan Karunamuni, Carrie McDonald, Nathan White, Niclas Pettersson, Vitali Moiseenko, Tyler Seibert, Deborah Marshall, Laura Cervino, Hauke Bartsch, Joshua Kuperman, Vyacheslav Murzin, Anitha Krishnan, Nikdokht Farid, Anders Dale, Jona Hattangadi-Gluth
BACKGROUND AND PURPOSE: Brain radiotherapy is limited in part by damage to white matter, contributing to neurocognitive decline. We utilized diffusion tensor imaging (DTI) with multiple b-values (diffusion weightings) to model the dose-dependency and time course of radiation effects on white matter. MATERIALS AND METHODS: Fifteen patients with high-grade gliomas treated with radiotherapy and chemotherapy underwent MRI with DTI prior to radiotherapy, and after months 1, 4-6, and 9-11...
October 21, 2016: Radiotherapy and Oncology: Journal of the European Society for Therapeutic Radiology and Oncology
Foteini Christidi, Efstratios Karavasilis, Ioannis Zalonis, Panagiotis Ferentinos, Zoi Giavri, Elisabeth A Wilde, Sophia Xirou, Michalis Rentzos, Vasiliki Zouvelou, George Velonakis, Panagiotis Toulas, Efstathios Efstathopoulos, Loukia Poulou, Georgios Argyropoulos, Athanasios Athanasakos, Thomas Zambelis, Harvey S Levin, Nikolaos Karandreas, Nikolaos Kelekis, Ioannis Evdokimidis
We aimed to investigate structural changes in vivo in memory-related white matter tracts (i.e., perforant pathway zone [PPZ]; uncinate fasciculus [UF]; fornix) using diffusion tensor tractography and evaluate possible associations with memory performance in nondemented patients with amyotrophic lateral sclerosis (ALS). Forty-two ALS patients and 25 healthy controls (HCs) underwent a 30-directional diffusion-weighted imaging on a 3T MR scanner, followed by tractography of PPZ, UF, and fornix and analysis of fractional anisotropy (FA), axial diffusivity and radial diffusivity (Dr)...
September 28, 2016: Neurobiology of Aging
Naeim Bahrami, Dev Sharma, Scott Rosenthal, Elizabeth M Davenport, Jillian E Urban, Benjamin Wagner, Youngkyoo Jung, Christopher G Vaughan, Gerard A Gioia, Joel D Stitzel, Christopher T Whitlow, Joseph A Maldjian
Purpose To examine the effects of subconcussive impacts resulting from a single season of youth (age range, 8-13 years) football on changes in specific white matter (WM) tracts as detected with diffusion-tensor imaging in the absence of clinically diagnosed concussions. Materials and Methods Head impact data were recorded by using the Head Impact Telemetry system and quantified as the combined-probability risk-weighted cumulative exposure (RWECP). Twenty-five male participants were evaluated for seasonal fractional anisotropy (FA) changes in specific WM tracts: the inferior fronto-occipital fasciculus (IFOF), inferior longitudinal fasciculus, and superior longitudinal fasciculus (SLF)...
October 24, 2016: Radiology
Zhe Guo, Yi Wang, Tao Lei, Yangyu Fan, Xiuwei Zhang
Diffusion Tensor Imaging (DTI) image registration is an essential step for diffusion tensor image analysis. Most of the fiber bundle based registration algorithms use deterministic fiber tracking technique to get the white matter fiber bundles, which will be affected by the noise and volume. In order to overcome the above problem, we proposed a Diffusion Tensor Imaging image registration method under probabilistic fiber bundles tractography learning. Probabilistic tractography technique can more reasonably trace to the structure of the nerve fibers...
2016: BioMed Research International
Giovanni Rizzo, Stefano Zanigni, Roberto De Blasi, Daniela Grasso, Davide Martino, Rodolfo Savica, Giancarlo Logroscino
Brain magnetic resonance (MR) represents a useful and feasible tool for the differential diagnosis of Parkinson's disease. Conventional MR may reveal secondary forms of parkinsonism and may show peculiar brain alterations of atypical parkinsonian syndromes. Furthermore, advanced MR techniques, such as morphometric-volumetric analyses, diffusion-weighted imaging, diffusion tensor imaging, tractography, proton MR spectroscopy, and iron-content sensitive imaging, have been used to obtain quantitative parameters useful to increase the diagnostic accuracy...
2016: Parkinson's Disease
Anne H Cross, Sheng-Kwei Song
We describe a novel imaging method to assess central nervous system pathology called "Diffusion Basis Spectrum Imaging" (DBSI). Diffusion tensor imaging (DTI) has been widely used to estimate axonpathology and demyelination. However, in the settings of acute inflammation and chronic tissue loss asare common in multiple sclerosis, DTI signals can lead to false interpretations. DBSI is a computationallynovel method that separates isotropic from anisotropic components in imaging voxels. Isotropicdiffusion is believed to reflect inflammatory components (cells, edema), as well as intrinsic cells andextracellular space...
October 8, 2016: Journal of Neuroimmunology
Georgios Nikolakaros, Tuula Ilonen, Timo Kurki, Janina Paju, Sokratis G Papageorgiou, Risto Vataja
Wernicke's encephalopathy is often undiagnosed, particularly in non-alcoholics. There are very few reports of non-alcoholic patients diagnosed with Korsakoff syndrome in the absence of a prior diagnosis of Wernicke's encephalopathy and no studies of diffusion tensor imaging in non-alcoholic Korsakoff syndrome. We report on three non-alcoholic psychiatric patients (all women) with long-term non-progressive memory impairment that developed after malnutrition accompanied by at least one of the three Wernicke's encephalopathy manifestations: ocular abnormalities, ataxia or unsteadiness, and an altered mental state or mild memory impairment...
November 15, 2016: Journal of the Neurological Sciences
Ming-Liang Wang, Wen-Bin Li
Traumatic brain injury (TBI) is closely related to increased incidence of cognitive impairment from the acute phase to chronic phase. At present, the pathological mechanism leading to cognitive impairment after TBI is still not fully understood. We hypothesize that neuron loss, diffuse axonal injury, microbleed, and blood-brain barrier (BBB) disruption altogether contribute to the development of cognitive impairment. Furthermore, the disruption of structural and functional neural network related to the cognitive function might bring about the final step in the occurrence of cognitive impairment after TBI...
November 15, 2016: Journal of the Neurological Sciences
Sara Poletti, Veronica Aggio, Irene Bollettini, Andrea Falini, Cristina Colombo, Francesco Benedetti
The aim of the study is to investigate if gene polymorphisms in sterol regulatory element binding protein transcriptional factors SREBF-1 and SREBF-2, which regulate lipid and cholesterol metabolism, could affect white matter (WM) microstructure, the most recognized structural biomarker of bipolar disorder (BD). In a sample of 93 patients affected by BD, we investigated the effect of SREBF-1 rs11868035, and SREBF-2 rs1052717, on WM microstructure, using diffusion tensor imaging and tract-based spatial statistics...
October 15, 2016: Psychiatry Research
Bertram J Wilm, Christoph Barmet, Simon Gross, Lars Kasper, S Johanna Vannesjo, Max Haeberlin, Benjamin E Dietrich, David O Brunner, Thomas Schmid, Klaas P Pruessmann
PURPOSE: The purpose of this work was to improve the quality of single-shot spiral MRI and demonstrate its application for diffusion-weighted imaging. METHODS: Image formation is based on an expanded encoding model that accounts for dynamic magnetic fields up to third order in space, nonuniform static B0 , and coil sensitivity encoding. The encoding model is determined by B0 mapping, sensitivity mapping, and concurrent field monitoring. Reconstruction is performed by iterative inversion of the expanded signal equations...
October 21, 2016: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
Swarupa Kancherla, William J Kohler, Yolandi van der Merwe, Kevin C Chan
Visual function has been shown to deteriorate prior to the onset of retinopathy in some diabetic patients and experimental animal models. This suggests the involvement of the brain's visual system in the early stages of diabetes. In this study, we tested this hypothesis by examining the integrity of the visual pathway in a diabetic rat model using in vivo multi-modal magnetic resonance imaging (MRI). Ten-week-old Sprague-Dawley rats were divided into an experimental diabetic group by intraperitoneal injection of 65 mg/kg streptozotocin in 0...
2016: PloS One
Prashanthi Vemuri, David S Knopman, Clifford R Jack, Emily S Lundt, Stephen D Weigand, Samantha M Zuk, Kaely B Thostenson, Robert I Reid, Kejal Kantarci, Yelena Slinin, Kamakshi Lakshminarayan, Cynthia S Davey, Anne Murray
BACKGROUND: Chronic kidney disease (CKD) studies have reported variable prevalence of brain pathologies, in part due to low inclusion of participants with moderate to severe CKD. OBJECTIVE: To measure the association between kidney function biomarkers and brain MRI findings in CKD. METHODS: In the BRINK (BRain IN Kidney Disease) study, MRI was used to measure gray matter volumes, cerebrovascular pathologies (white matter hyperintensity (WMH), infarctions, microhemorrhages), and microstructural changes using diffusion tensor imaging (DTI)...
October 19, 2016: Journal of Alzheimer's Disease: JAD
Julie M Hall, Kaylena A Ehgoetz Martens, Courtney C Walton, Claire O'Callaghan, Peter E Keller, Simon J G Lewis, Ahmed A Moustafa
Parkinson's disease (PD) is a heterogeneous neurological disorder with a variety of motor and non-motor symptoms. The underlying mechanisms of these symptoms are not fully understood. An increased interest in structural connectivity analyses using diffusion tensor imaging (DTI) in PD has led to an expansion of our understanding of the impact of abnormalities in diffusivity on phenotype. This review outlines the contribution of these abnormalities to symptoms of PD including bradykinesia, tremor and non-tremor phenotypes, freezing of gait, cognitive impairment, mood, sleep disturbances, visual hallucinations and olfactory dysfunction...
September 28, 2016: Parkinsonism & related Disorders
Klaus Kopitzki, Andreas Oldag, Catherine M Sweeney-Reed, Judith Machts, Maria Veit, Jörn Kaufmann, Hermann Hinrichs, Hans-Jochen Heinze, Katja Kollewe, Susanne Petri, Bahram Mohammadi, Reinhard Dengler, Andreas R Kupsch, Stefan Vielhaber
PURPOSE: Aim of the present study was to investigate potential impairment of non-motor areas in amyotrophic lateral sclerosis (ALS) using near-infrared spectroscopy (NIRS) and diffusion tensor imaging (DTI). In particular, we evaluated whether homotopic resting-state functional connectivity (rs-FC) of non-motor associated cortical areas correlates with clinical parameters and disease-specific degeneration of the corpus callosum (CC) in ALS. MATERIAL AND METHODS: Interhemispheric homotopic rs-FC was assessed in 31 patients and 30 healthy controls (HCs) for 8 cortical sites, from prefrontal to occipital cortex, using NIRS...
2016: NeuroImage: Clinical
Xinghui Li, Ling Zhuang, Xiaoming Zhang, Jian Wang, Tianwu Chen, Liangjun Li, Emmanuel Ajedichiga Aduah, Jiani Hu
[This corrects the article DOI: 10.1371/journal.pone.0160115.].
2016: PloS One
Jianfei Yang, Dirk H J Poot, Matthan W A Caan, Tanja Su, Charles B L M Majoie, Lucas J van Vliet, Frans M Vos
PURPOSE: This paper presents and studies a framework for reliable modeling of diffusion MRI using a data-acquisition adaptive prior. METHODS: Automated relevance determination estimates the mean of the posterior distribution of a rank-2 dual tensor model exploiting Jeffreys prior (JARD). This data-acquisition prior is based on the Fisher information matrix and enables the assessment whether two tensors are mandatory to describe the data. The method is compared to Maximum Likelihood Estimation (MLE) of the dual tensor model and to FSL's ball-and-stick approach...
2016: PloS One
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