Cerebrovascular diseases

Conventional neuroradiological techniques, such as computed tomography (CT) and magnetic resonance imaging (MRI), make a fundamental contribution in both the acute and chronic phases of stroke. Recent years have witnessed the development of new imaging modalities, which include diffusion-weighted imaging (DWI), perfusion-weighted imaging (PWI), CT-angiography (CTA), MR-angiography (MRA), magnetic resonance spectroscopy (MRS), diffusion tensor imaging (DTI) and functional MRI (fMRI). While CTA, MRA, DWI and PWI are commonly used for clinical purposes, DTI, MRS and fMRI are becoming increasingly important in the field of experimental research of cerebrovascular diseases, but are still far from becoming of primary usefulness in the everyday clinical setting.     

MR spectroscopy, functional MRI, and diffusion-tensor imaging in the aging brain: a conceptual review

In vivo magnetic resonance spectroscopy (MRS), functional magnetic resonance imaging (fMRI), and diffusion-tensor imaging (DTI) have recently opened new possibilities for noninvasively assessing the metabolic, functional, and connectivity correlates of aging in research and clinical settings. The purpose of this article is to provide a conceptual review intended for a multidisciplinary audience, covering physical principles and main findings related to normal aging and senile cognitive impairment. This article is divided into 3 sections, dedicated to MRS, to fMRI, and to DTI. The spectroscopy section surveys physiological function of the observable metabolites, concentration changes in normal aging and their interpretation, and correlation with cognitive performance. The functional MRI section surveys the hemispheric asymmetry reduction model from compensation and de-differentiation viewpoints, memory encoding, retrieval and consolidation, inhibitory control, perception and action, resting-state networks, and functional deactivations. The DTI section surveys age-related changes, correlation with behavioral scores, and transition to cognitive impairment.     

Retinotopic mapping in cat visual cortex using high-field functional magnetic resonance imaging

In the field of neuroscience, there has always been a need for imaging techniques that provide high-resolution, large field-of-view measurements of neural activity. Functional MRI has this capability, but the link between the blood oxygenation level dependent (BOLD) functional magnetic resonance imaging (fMRI) signal and neural activity is indirect. High magnetic field strengths (>3 T) improve the strength and specificity of the BOLD signal, but there are additional concerns about imaging artifacts at high field. We have tested the capabilities of ultra high field fMRI in the anesthetized juvenile cat, demonstrating rapid, non-invasive retinotopic mapping of early visual areas. Maps of topographic organization and measured cortical magnification factors are in good agreement with electrophysiological studies. Measurement precision was estimated at 1 mm. This mapping, performed with an MRI scanner at ultra high field (9.4 T), demonstrates the capabilities of high-resolution functional mapping of the visual system at ultra high field.     

Diffusion Tensor and Functional Magnetic Resonance Imaging of Diffuse Axonal Injury and Resulting Language Impairment

Diffuse axonal injury (DAI) is a common aftermath of brain trauma. The diagnosis of DAI is often difficult using conventional magnetic resonance imaging (MRI). We report a diffusion tensor imaging (DTI) study of a patient who sustained DAI presenting with language impairment. Fractional anisotropy (FA) and DTI tractography revealed a reduction of white matter integrity in the left frontal and medial temporal areas. White matter damage identified by DTI was correlated with the patient's language impairment as assessed by functional MRI (fMRI) and a neuropsychological exam. The findings demonstrate the utility of DTI for identifying white matter changes secondary to traumatic brain injury (TBI).     

Multimodal MR Imaging: Functional, Diffusion Tensor, and Chemical Shift Imaging in a Patient with Localization-Related Epilepsy

PURPOSE: To demonstrate the integration of complementary functional and structural data acquired with magnetic resonance imaging (MRI) in a patient with localization-related epilepsy. METHODS: We studied a patient with partial and secondarily generalized seizures and a hemiparesis due to a malformation of cortical development (MCD) in the right hemisphere by using EEG-triggered functional MRI (fMRI), diffusion tensor imaging (DTI), and chemical shift imaging (CSI). RESULTS: fMRI revealed significant changes in regional blood oxygenation associated with interictal epileptiform discharges within the MCD. DTI showed a heterogeneous microstructure of the MCD with reduced fractional anisotropy, a high mean diffusivity, and displacement of myelinated tracts. CSI demonstrated low N-acetyl aspartate (NAA) concentrations in parts of the MCD. CONCLUSIONS: The applied MR methods described functional, microstructural, and biochemical characteristics of the epileptogenic tissue that cannot be obtained with other noninvasive means and thus improve the understanding of the pathophysiology of epilepsy.     

Other magnetic resonance imaging techniques

Relatively new developments in MRI, such as functional MRI (fMRI), magnetic resonance spectroscopy (MRS) and diffusion tensor imaging (DTI) are rapidly developing into imaging modalities that will become clinically available in the near future. They have in common that their signal is somewhat easier to interpret than structural MRI: fMRI mirrors excess cerebral blood flow, in many cases representing brain activity, MRS gives the average volume concentrations of specific chemical compounds, and DTI reflects "directedness" of micro-anatomical structures, of particular use in white matter where fiber bundle disruption can be detected with great sensitivity. While structural changes in MRI have been disappointing in giving a diagnosis of sufficient sensitivity and specificity, these newer methods hold out hope for elucidating pathological changes and differentiating patient groups more rigorously. This paper summarizes promising research results that will yet have to be translated into real life clinical studies in larger groups of patients (e.g. memory clinic patients). Where available, we have tried to summarize results comparing different types of dementia.     

White matter abnormalities and brain activation in schizophrenia: a combined DTI and fMRI study

Diffusion tensor imaging (DTI) studies of schizophrenia have revealed white matter abnormalities in several areas of the brain. The functional impact on either psychopathology or cognition remains, however, poorly understood. Here we analysed both functional MRI (during a working memory task) and DTI data sets in 18 patients with schizophrenia and 18 controls. Firstly, DTI analyses revealed reductions of fractional anisotropy (FA) in the right medial temporal lobe adjacent to the right parahippocampal gyrus, likely to contain fibres of the inferior cingulum bundle, and in the right frontal lobe. Secondly, functional MRI revealed prefrontal, superior parietal and occipital relative hypoactivation in patients with the main effect of task. This was accounted for by reduced prefrontal activation during the encoding phase of the task, but not during maintenance or retrieval phases. Thirdly, we found a direct correlation in patients between the frontal FA reduction (but not medial temporal reductions) and fMRI activation in regions in the prefrontal and occipital cortex. Our study combining fMRI and DTI thus demonstrates altered structure-function relationships in schizophrenia. It highlights a potential relationship between anatomical changes in a frontal-temporal anatomical circuit and functional alterations in the prefrontal cortex.     

部分多模态MRI在重度抑郁症中的研究进展

重度抑郁症是最常见的高致残性的精神疾病之一,其发病机制尚不清楚。MRI技术作为非侵入性的神经影像技术,可揭示重度抑郁症患者大脑功能状态。与健康对照者相比,重度抑郁症患者额叶、颞叶、海马、扣带回、基底节、小脑等脑区功能改变,可能提示重度抑郁症的病理生理异常。现就多模态MRI,包括弥散张量成像(DTI)、弥散峰度成像(DKI)、磁共振波谱成像(MRS)、功能MRI(fMRI)、神经突方向分散度和密度成像(NODDI)在重度抑郁症中的最新研究成果进行综述,以期对其神经生物学机制有更充分的理解。     

From research to clinical practice: implementation of functional magnetic imaging and white matter tractography in the clinical environment

In the last two decades functional magnetic resonance imaging (fMRI) has dominated research in neuroscience. However, only recently has it taken the first steps in translation to the clinical field. In this paper we describe the advantages of fMRI and DTI and the possible benefits of implementing these methods in clinical practice. We review the current clinical usages of fMRI and DTI and discuss the challenges and difficulties of translating these methods to clinical use. The most common application today is in neurosurgery. fMRI and DTI are done preoperatively for brain tumor patients who are having tumors removed and for epilepsy patients who are candidates for temporal resection. Imaging results supply the neurosurgeon with essential information regarding possible functional damage and thereby aid both in planning and performing surgery. Scientific research suggests more promising potential implementations of fMRI and DTI in improving diagnosis and rehabilitation. These advanced imaging methods can be used for pre-symptomatic diagnosis, as a differentiating biomarker in the absence of anatomical measurements, and for identification of mental response in the absence of motor-sensory abilities. These methods can aid and direct rehabilitation by predicting the success of possible interventions and rehabilitation options and by supplying a measure for biofeedback. This review opens a window to the state of the art neuroimaging methods being implemented these days into the clinical practice and provides a glance to the future clinical possibilities of fMRI and DTI.     

BOLD-fMRI和DTI结合神经导航在枕叶视觉功能区附近病变切除中的应用

目的 探讨血氧水平依赖性功能磁共振成像（BOLD - fMRI）与磁共振弥散张量成像技术(DTI)融合结合神经导航在枕叶视觉功能区附近病变切除术中的应用价值。方法 利用BOLD-fMRI、DTI结合神经导航进行图像融合,在20例视觉功能区附近病变患者术前设计手术入路,术中定位视觉功能区,指导手术,合理保护功能区,切除病变。结果 15例镜下全切除,5例大部切除。术后复查MRI及DTI视皮层及视辐射保护完好。结论 BOLD - fMRI和DTI融合技术在神经导航下应用可以准确确定大脑枕叶视觉功能区和视辐射走行,术前精确定位功能区,提高病变切除程度,降低术后致残率,提高患者术后生活质量。     

Multimodal Magnetic Resonance Imaging for Brain Disorders: Advances and Perspectives

Modern brain imaging technologies play essential roles in our understanding of brain information processing and the mechanisms of brain disorders. Magnetic Resonance Imaging (MRI) and Diffusion Tensor Imaging (DTI) can image the anatomy and structure of the brain. In addition, functional MRI (fMRI) can identify active regions, patterns of functional connectivities and functional networks during either tasks that are specifically related to various aspects of brain function or during the resting state. The merging of such structural and functional information obtained from brain imaging may be able to enhance our understanding of how the brain works and how its diseases can occur. In this paper, we will review advances in both methodologies and clinical applications of multimodal MRI technologies, including MRI, DTI, and fMRI. We will also give our perspectives for the future in these fields. The ultimate goal of our study is to find early biomarkers based on multimodal neuroimages and genome datasets for brain disorders. More importantly, future studies should focus on detecting exactly where and how these brain disorders affect the human brain. It would also be also very interesting to identify the genetic basis of the anatomical and functional abnormalities in the brains of people who have neurological and psychiatric disorders. We believe that we can use brain images to obtain effective biomarkers for various brain disorders with the aid of developing computational methods and models.     

扩散张量成像在周围神经病变的研究进展简

扩散张量成像是fMRI的重要组成部分,是目前唯一可在体显示白质纤维束的无创性检查方法。此外,还可通过测量各向同性和各向异性等参数,对白质纤维束的完整性进行评价。目前,已有研究将扩散张量成像技术应用于周围神经系统疾病,本文拟从急性周围神经损伤、慢性周围神经损伤,以及周围神经系统炎症和肿瘤等方面对其在周围神经系统疾病的研究进展进行概述。     

The structural and functional mechanisms of motor recovery: complementary use of diffusion tensor and functional magnetic resonance imaging in a traumatic injury of the internal capsule

OBJECTIVES—Recovery from focal motor pathwaylesions may be associated with a functional reorganisation of corticalmotor areas. Previous studies of the relation between structural braindamage and the functional consequences have employed MRI and CT, whichprovide limited structural information. The recent development ofdiffusion tensor imaging (DTI) now provides quantitative measures offibre tract integrity and orientation. The objective was to use DTI andfunctional MRI (fMRI) to determine the mechanisms underlying theexcellent recovery found after a penetrating injury to the rightcapsular region.
METHODS—DTI and fMRI were performed on the patientdescribed; DTI was performed on five normal controls.
RESULTS—The injury resulted in a left hemiplegiawhich resolved fully over several weeks. When studied 18 months laterthere was no pyramidal weakness, a mild hemidystonia, and sensorydisturbance. fMRI activation maps showed contralateral primary andsupplementary motor cortex activation during tapping of each hand;smaller ipsilateral primary motor areas were activated by the recoveredhand only. DTI disclosed preserved structural integrity and orientationin the posterior capsular limb by contrast with the disrupted structure in the anterior limb on the injured side.
CONCLUSIONS—The findings suggest that the mainrecovery mechanism was a preservation of the integrity and orientationof pyramidal tract fibres. The fMRI studies do not suggest substantialreorganisation of the motor cortex, although ipsilateral pathways mayhave contributed to the recovery. The initial deficit was probably dueto reversible local factors including oedema and mass effect; permanentdamage to fibre tracts in the anterior capsular limb may account for the persistent sensory deficit. This study shows for the first time thepotential value of combining fMRI and DTI together to investigatemechanisms of recovery and persistent deficit in an individual patient.

     

Multimodal analysis of functional and structural disconnection in Alzheimer's disease using multiple kernel SVM

Alzheimer's disease (AD) patients exhibit alterations in the functional connectivity between spatially segregated brain regions which may be related to both local gray matter (GM) atrophy as well as a decline in the fiber integrity of the underlying white matter tracts. Machine learning algorithms are able to automatically detect the patterns of the disease in image data, and therefore, constitute a suitable basis for automated image diagnostic systems. The question of which magnetic resonance imaging (MRI) modalities are most useful in a clinical context is as yet unresolved. We examined multimodal MRI data acquired from 28 subjects with clinically probable AD and 25 healthy controls. Specifically, we used fiber tract integrity as measured by diffusion tensor imaging (DTI), GM volume derived from structural MRI, and the graph‐theoretical measures ‘local clustering coefficient’ and ‘shortest path length’ derived from resting‐state functional MRI (rs‐fMRI) to evaluate the utility of the three imaging methods in automated multimodal image diagnostics, to assess their individual performance, and the level of concordance between them. We ran the support vector machine (SVM) algorithm and validated the results using leave‐one‐out cross‐validation. For the single imaging modalities, we obtained an area under the curve (AUC) of 80% for rs‐fMRI, 87% for DTI, and 86% for GM volume. When it came to the multimodal SVM, we obtained an AUC of 82% using all three modalities, and 89% using only DTI measures and GM volume. Combined multimodal imaging data did not significantly improve classification accuracy compared to the best single measures alone. Hum Brain Mapp 36:2118–2131, 2015. © 2015 Wiley Periodicals, Inc.     

Advances in longitudinal studies of amnestic mild cognitive impairment and Alzheimer’s disease based on multi-modal MRI techniques

Amnestic mild cognitive impairment (aMCI) is a prodromal stage of Alzheimer’s disease (AD), and 75%–80% of aMCI patients finally develop AD. So, early identification of patients with aMCI or AD is of great significance for prevention and intervention. According to cross-sectional studies, it is known that the hippocampus, posterior cingulate cortex, and corpus callosum are key areas in studies based on structural MRI (sMRI), functional MRI (fMRI), and diffusion tensor imaging (DTI) respectively. Recently, longitudinal studies using each MRI modality have demonstrated that the neuroimaging abnormalities generally involve the posterior brain regions at the very beginning and then gradually affect the anterior areas during the progression of aMCI to AD. However, it is not known whether follow-up studies based on multi-modal neuroimaging techniques (e.g., sMRI, fMRI, and DTI) can help build effective MRI models that can be directly applied to the screening and diagnosis of aMCI and AD. Thus, in the future, large-scale multi-center follow-up studies are urgently needed, not only to build an MRI diagnostic model that can be used on a single person, but also to evaluate the variability and stability of the model in the general population. In this review, we present longitudinal studies using each MRI modality separately, and then discuss the future directions in this field.     

Magnetic resonance imaging as an approach towards identifying neuropathological biomarkers for Huntington's disease

Magnetic Resonance Imaging (MRI), functional MRI (fMRI) and Diffusion Tensor Imaging (DTI) have been central to characterisation of abnormalities in brain structure and function in both clinical and preclinical Huntington's disease (HD). One current challenge in clinical HD research is the identification of sensitive and reliable biomarkers to detect progressive neurodegeneration and neural dysfunction, which could be used to assess the effect of therapeutic intervention on brain structure and function in a HD clinical trial. To this end, both established and novel neuroimaging approaches could potentially provide sensitive, reliable and non-invasive tools to assess long-term and dynamic effects of treatment on specific brain regions, including their microstructure and connectivity. This review examines contributions from structural MRI, fMRI and DTI studies to our current understanding of preclinical and clinical HD, and critically appraises MRI methods potentially suitable for both scientific characterisation and for use as biomarkers in HD clinical trials. A combined neuroimaging approach incorporating structural MRI, fMRI and DTI is yet to be realised in HD clinical trials, however if proven to be sensitive and reliable, these methods could potentially serve as biomarkers for use in future clinical drug trials in HD.     

Microstructural and functional MRI studies of cognitive impairment in epilepsy

Cognitive impairment is the most common comorbidity in children with epilepsy, but its pathophysiology and predisposing conditions remain unknown. Clinical epilepsy characteristics are not conclusive in determining cognitive outcome. Because many children with epilepsy do not have macrostructural magnetic resonance imaging (MRI) abnormalities, the underlying substrate for cognitive impairment may be found at the microstructural or functional level. In the last two decades, new MRI techniques have been developed that have the potential to visualize microstructural or functional abnormalities associated with cognitive impairment. These include volumetric MRI, voxel‐based morphometry (VBM), diffusion tensor imaging (DTI), MR spectroscopy (MRS), and functional MRI (fMRI). All of these techniques have shed new light on various aspects associated with, or underlying, cognitive impairment, although their use in epilepsy has been limited and focused mostly on adults. Therefore, in this review, the use of all these different MRI techniques to unravel cognitive impairment in epilepsy is discussed both in adults and children with epilepsy. Volumetric MRI and VBM have revealed significant volume losses in the area of the seizure focus as well as in distant areas. DTI adds evidence of loss of integrity of connections from the seizure focus to distant areas as well as between distant areas. MRS and fMRI have shown impaired function both in the area of the seizure focus as well as in distant structures. For this review we have compiled and compared findings from the various techniques to conclude that cognitive impairment in epilepsy results from a network disorder in which the (micro)structures as well as the functionality can be disturbed.     

Effects of social stress on blood leukocyte distribution: the role of alpha- and beta-adrenergic mechanisms

Human immunodeficiency virus (HIV) is associated with central nervous system (CNS) changes that may affect cerebral blood flow (CBF), metabolism, structure, and diffusion. Each of the available neuroimaging techniques offers unique insight into the neural mechanisms underlying HIV, as well as a potential means of monitoring disease progression and treatment response. The purpose of the article is to provide a review of experimental studies evaluating changes related to HIV with imaging techniques, including single-photon emission computed tomography (SPECT), positron emission tomography (PET), volumetric magnetic resonance imaging (MRI), functional MRI (fMRI), magnetic resonance spectroscopy (MRS), diffusion tensor imaging (DTI), and perfusion MRI (pMRI).     

Perimetric visual field and functional MRI correlation: implications for image-guided surgery in occipital brain tumours

OBJECTIVE: To compare the results of visual functional MRI with those of perimetric evaluation in patients with visual field defects and retrochiasmastic tumours and in normal subjects without visual field defect. The potential clinical usefulness of visual functional MRI data during resective surgery was evaluated in patients with occipital lobe tumours. METHODS: Eleven patients with various tumours and visual field defects and 12 normal subjects were studied by fMRI using bimonocular or monocular repetitive photic stimulation (8 Hz). The data obtained were analyzed with the statistical parametric maps software (p<10(-8)) and were compared with the results of Goldmann visual field perimetric evaluation. In patients with occipital brain tumours undergoing surgery, the functional data were registered in a frameless stereotactic device and the images fused into anatomical three standard planes and three dimensional reconstructions of the brain surface. RESULTS: Two studies of patients were discarded, one because of head motion and the other because of badly followed instructions. On the remaining patients the functional activations found in the visual cortex were consistent with the results of perimetric evaluation in all but one of the patients and all the normal subjects although the results of fMRI were highly dependent on the choices of the analysis thresholds. Visual functional MRI image guided data were used in five patients with occipital brain tumours. No added postoperative functional field defect was detected. CONCLUSIONS: There was a good correspondence between fMRI data and the results of perimetric evaluation although dependent on the analysis thresholds. Visual fMRI data registered into a frameless stereotactic device may be useful in surgical planning and tumour removal.