SEARCH · PubMed Health

Results for “brain imaging”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 91 records · Page 5Linked to original sources

PubMed1994

Head movement in normal subjects during simulated PET brain imaging with and without head restraint.

UNLABELLED: Head movement during brain imaging is recognized as a source of image degradation in PET and most other forms of medical brain imaging. However, little quantitative information is available on the kind and amount of head movement that actually occurs during these studies. We sought to obtain this information by measuring head movement in normal volunteers. METHODS: Head position data were acquired for 40 min in each of 13 supine subjects with and without head restraint. These data were then used to drive a mathematically simulated head through exactly the same set of movements. The positions of point sources embedded in this head were computed at each location and these data summarized as movement at FWHM in each of the three coordinate directions. RESULTS: Head movement increased with the length of the sampling interval for studies of either type (with or without head restraint), but the amount and rate of increase with restraint was much smaller. In contrast, head movement during consecutive, short sampling intervals was small and did not increase with time. Spatial gradients in head movement were detected within each study type, and significant spatial differences in head movement were found between study types. CONCLUSIONS: Head movements in normal, supine subjects, though small, can cause the effective resolution of a brain imaging study to appear to vary in space and time. These effects can be reduced significantly with head restraint and may also be reduced by dividing the acquisition of a single image into a sequence of short images (instead of a single long image), aligning these images spatially and summing the result.

Adult↗

PubMed1988

Evaluation of brain imaging techniques in mental illness.

Brain imaging is increasingly applied in psychiatry, both for clinical evaluation and as a research tool. Computerized tomography (CT) and magnetic resonance imaging (MRI) have documented that structural brain abnormalities occur in some types of psychiatric patients, particularly those who suffer from schizophrenia. Dynamic imaging techniques such as single-photon emission computed tomography (SPECT) and positron emission tomography (PET) have documented decreased temporoparietal activity in Alzheimer's disease, hypofrontality in schizophrenia, and a variety of abnormalities in affective and anxiety disorders. These techniques promise to teach us a great deal about the underlying neural mechanisms in mental illness.

Brain↗

PubMed2003

Brain-imaging studies of posttraumatic stress disorder.

Brain-imaging studies of posttraumatic stress disorder (PTSD) have rapidly increased in recent years. Structural studies have identified potential smaller volumes of the hippocampus of traumatized and/or PTSD subjects. Functional activation studies have implicated hyperactive or altered functioning of brain regions, such as the amygdala and the insula, and a failure to engage emotional regulatory structures, such as the medial prefrontal and anterior cingulate cortex. Recent neurochemical investigations have suggested that neuromodulatory systems (eg, gamma-aminobutyric acid, micro-opioid) may underlie these aberrant brain activation patterns. This article reviews the literature on structural, functional, and neurochemical brain-imaging studies of PTSD.

Brain↗

PubMedDate not supplied

Brain imaging in psychiatry: another look.

Computerized brain imaging techniques have been increasingly used in research into psychiatric disorders. Structural imaging has disclosed subtle brain abnormalities in conditions such as schizophrenia. Functional imaging has shown that metabolic changes in the brain in Alzheimer's disease predate cerebral atrophy and has demonstrated unusual patterns of function in psychotic illnesses.

Brain↗

PubMed1998

[Effectiveness of brain imaging in children with headache].

OBJECTIVE: Headache is a common complaint in children and brain imaging has become widely used to evaluate this clinical condition. We studied the value of neuroimaging in children with chronic headaches. PATIENTS AND METHODS: A retrospective chart review was conducted of all children referred to the pediatric outpatient clinic for evaluation of headache over a 3-year period. The charts were reviewed for headache characteristics, clinical indications for performing neuroimaging, and imaging results. Special attention was paid to evidence of space-occupying lesions. RESULTS: A total of 160 records were studied, with subjects ranging in age from 4 to 14 years. Most patients were diagnosed as having migraine headaches (60%) or chronic tension headaches (29.5%). Other diagnoses were post-traumatic (6%) and unclassified (4%). Sixty-six patients (41%) had computed tomography imaging performed. In most cases, brain imaging studies were performed because of clinical data (41%) like atypical pattern, sleep-related headache or increase of headache, because of the parents' concerns about brain lesions (38%) and because of an age less than 5 years (14%). Structural changes were found on brain imaging in 4 patients, but none indicated the presence of a treatable space-occupying lesion and all were deemed unrelated to the headache. Our findings of no relevant abnormalities in a series of 66 neuroimaging studies indicate that the maximal rate at which such abnormalities might appear in this population is 4.4%. CONCLUSIONS: These results indicate that neuroimaging studies have very limited value in the clinical evaluation of pediatric patients with chronic headache and should be reserved for those patients with clinical evidence suggestive of underlying structural lesion.

Adolescent↗

PubMed2003

Advanced brain imaging procedures and human memory disorder.

The impact of advanced brain imaging procedures in the field of human memory disorder is reviewed, with particular emphasis on current and potential applications that may impact upon the diagnosis and management of memory-disordered patients. While both advanced structural, resting physiological and functional physiological brain imaging procedures have been applied to conditions where memory disorder is a major feature, the specific implications of research findings for diagnosis and treatment in routine clinical practice remain tentative and promising, but not yet substantive enough to inform clinical decisions to a significant degree. In terms of diagnostic applications, several promising areas include dementia, epilepsy, and transient amnesic states. In the case of applications in treatment settings, advanced brain imaging procedures may help to monitor neural correlates of spontaneous recovery or progression of memory function, and may also help in the planning and monitoring of therapeutic intervention.

Brain↗

PubMedDate not supplied

Brain imaging studies of developmental stuttering.

UNLABELLED: This paper reviews recent brain imaging research on stuttering against a background of studies that the writer and colleagues have been conducting at the University of Texas Health Science Center in San Antonio. The paper begins by reviewing some pertinent background to recent neuroimaging investigations of developmental stuttering. It then outlines the findings from four brain imaging studies that the San Antonio group has conducted using H2(15)O positron emission tomography (PET). Finally, some of the principal findings that are emerging across brain imaging studies of stuttering are reviewed, while also highlighting--and attempting to resolve--some apparent across-study inconsistencies among the findings. Research on stuttering using magnetoencephalogaphy (MEG) and transcranial magnetic stimulation (TMS) is also considered. The findings increasingly point to a failure of normal temporal lobe activation during speech that may either contribute to (or is the result of) a breakdown in the sequencing of processing among premotor regions implicated in phonologic planning. LEARNING OUTCOMES: As a result of this activity, the participant will become familiar with some recent neurophysiological correlates of stuttering and what they suggest about the nature of this disorder.

Brain↗

PubMed1988

Brain imaging: applications in psychiatry.

Various brain imaging techniques have become available in the past decade. These include techniques to evaluate brain structure, such as computed tomography and magnetic resonance imaging, and techniques to assess functional activity, such as measurement of regional cerebral blood flow, single photon emission computed tomography, and positron emission tomography. These techniques can be used to map brain structure and function in normal human beings, and they have enlarged our knowledge of the pathophysiology of mental illnesses by demonstrating structural, metabolic, and neurochemical abnormalities in a wide range of mental disorders.

Brain↗

PubMed1999

[Three-dimensional reconstruction of functional brain images].

We consider PET (positron emission tomography) measurement with SPM (Statistical Parametric Mapping) analysis to be one of the most useful methods to identify activated areas of the brain involved in language processing. SPM is an effective analytical method that detects markedly activated areas over the whole brain. However, with the conventional presentations of these functional brain images, such as horizontal slices, three directional projection, or brain surface coloring, makes understanding and interpreting the positional relationships among various brain areas difficult. Therefore, we developed three-dimensionally reconstructed images from these functional brain images to improve the interpretation. The subjects were 12 normal volunteers. The following three types of images were constructed: 1) routine images by SPM, 2) three-dimensional static images, and 3) three-dimensional dynamic images, after PET images were analyzed by SPM during daily dialog listening. The creation of images of both the three-dimensional static and dynamic types employed the volume rendering method by VTK (The Visualization Toolkit). Since the functional brain images did not include original brain images, we synthesized SPM and MRI brain images by self-made C++ programs. The three-dimensional dynamic images were made by sequencing static images with available software. Images of both the three-dimensional static and dynamic types were processed by a personal computer system. Our newly created images showed clearer positional relationships among activated brain areas compared to the conventional method. To date, functional brain images have been employed in fields such as neurology or neurosurgery, however, these images may be useful even in the field of otorhinolaryngology, to assess hearing and speech. Exact three-dimensional images based on functional brain images are important for exact and intuitive interpretation, and may lead to new developments in brain science. Currently, the surface model is the most common method of three-dimensional display. However, the volume rendering method may be more effective for imaging regions such as the brain.

Brain↗

PubMed2005

Exploiting temporal information in functional magnetic resonance imaging brain data.

Functional Magnetic Resonance Imaging(fMRI) has enabled scientists to look into the active human brain, leading to a flood of new data, thus encouraging the development of new data analysis methods. In this paper, we contribute a comprehensive framework for spatial and temporal exploration of fMRI data, and apply it to a challenging case study: separating drug addicted subjects from healthy non-drug-using controls. To our knowledge, this is the first time that learning on fMRI data is performed explicitly on temporal information for classification in such applications. Experimental results demonstrate that, by selecting discriminative features, group classification can be successfully performed on our case study although training data are exceptionally high dimensional, sparse and noisy fMRI sequences. The classification performance can be significantly improved by incorporating temporal information into machine learning. Both statistical and neuroscientific validation of the method's generalization ability are provided. We demonstrate that incorporation of computer science principles into functional neuroimaging clinical studies, facilitates deduction about the behavioral probes from the brain activation data, thus providing a valid tool that incorporates objective brain imaging data into clinical classification of psychopathologies and identification of genetic vulnerabilities.

Algorithms↗

PubMed2006

Diffuse optical tomography system to image brain activation with improved spatial resolution and validation with functional magnetic resonance imaging.

Although most current diffuse optical brain imaging systems use only nearest- neighbor measurement geometry, the spatial resolution and quantitative accuracy of the imaging can be improved through the collection of overlapping sets of measurements. A continuous-wave diffuse optical imaging system that combines frequency encoding with time-division multiplexing to facilitate overlapping measurements of brain activation is described. Phantom measurements to confirm the expected improvement in spatial resolution and quantitative accuracy are presented. Experimental results showing the application of this instrument for imaging human brain activation are also presented. The observed improvement in spatial resolution is confirmed by functional magnetic resonance imaging.

Brain↗

PubMed1983

Performance evaluation of a positron tomograph designed for brain imaging.

The NeuroECAT, a multiplane positron tomograph for imaging the brain, was characterized in terms of both quantitative performance and image quality. The tomograph has four modes of operation, defined by the placement of interplane septa and shadow shields. Each mode was fully characterized by measurement of image resolution, axial resolution, resolution uniformity, scatter, accidentals, and deadtime. Each measurement was performed with scattering media simulating the human head, and resolutions were obtained from images processed with reconstruction techniques actually used in patient imaging. The results for the most frequent mode of operation are: image resolution 9.8 +/- 0.2 mm (FWHM), axial resolution 12.4 +/- 0.4 mm, and scatter 8.1% +/- 0.6. At a count rate of 10,000 cps per image plane, accidentals are 9% and the deadtime 3%. Accidentals are measured and subtracted in hardware, and corrections for deadtime loss are calculated from the on-line measurement of triple-coincidence events. Scatter is estimated from the scan data and subtracted in software. Image quality is demonstrated by phantom studies and by the patient images obtained with [F-18] fluorodeoxyglucose and carbon-11 monoxide. The FDG images show clear delineation of the convolutions of the cortical ribbon, internal gray nuclei, internal and external capsules, and other substructures of the brain. The carbon monoxide images, in addition to visualizing the large vessels, clearly show the blood volumes of the cortex, the Sylvian fissure, and the circle of Willis.

Brain↗

PubMed1990

Correlation methods for the centering, rotation, and alignment of functional brain images.

Simple methods are described using correlation analysis to rotate functional brain images to a standard vertical orientation, identify the antero-posterior centerline, and align multiple images from the same brain level. Image rotation and centering are performed by determining the angle of rotation and centerline coordinate that result in maximal left-right correlation. Testing of this method on sets of multiple images acquired simultaneously through different brain levels suggests that the optimal rotation can be determined within 1 degree and the centerline within 0.3 mm. Spatial alignment of two or more images from the same brain level of a single subject is accomplished by finding the translation and rotation that yield the highest correlation between the images. Testing of the alignment method on sets of simultaneously acquired images at multiple brain levels suggests that the optimal translation can be determined within 0.45-0.69 mm and the optimal rotation within 0.8 degrees. These methods are completely objective and can easily be automated.

Aged↗

PubMed1986

Conventional radionuclide brain imaging in the era of transmission and emission tomography.

The clinical applications for conventional radionuclide brain imaging have declined considerably since the introduction of newer imaging modalities (computerized cranial tomography [CCT], nuclear magnetic resonance [NMR]). Currently, conventional brain imaging primarily serves as a complementary test when CCT is negative or equivocal and strong clinical suspicion remains. Selected areas in which radionuclide imaging may be the preferred modality include evaluation of cerebral perfusion in assessment of brain death, detection of early viral encephalitis, evaluation of major venous sinus patency, external marking for localization of intracranial tumor, and in selected cases of suspected subdural hematoma, brain tumor, and cerebrovascular disease. The concept of conventional radionuclide brain imaging will likely undergo considerable change in the near future as newer radiopharmaceuticals are introduced and wider application is made of single photon emission computerized tomography (SPECT) and positron emission tomography (PET) imaging.

Brain↗

PubMed1999

Neurochemical brain imaging investigations of schizophrenia.

Neurochemical brain imaging methods developed over the past 20 years offer significant promise for elucidating the biochemical underpinnings of schizophrenia. The two general methodologies used for these studies have been: 1) radiotracer imaging: PET (positron emission tomography) and SPECT (single photon emission computed tomography); and 2) NMR (nuclear magnetic resonance) imaging: fMRI (functional magnetic resonance imaging) and MRS (magnetic resonance spectroscopy). Despite conflicting findings, striatal D2 receptor density may be elevated in some, but not all patients. Elevated synthesis, and increased release of dopamine after amphetamine challenge have also been reported. Imaging of cortical 5-HT2A receptors suggests that this system is unaffected, in conflict with findings of postmortem studies. Although prior postmortem studies suggested an increase in cortical GABAA receptors, three SPECT studies have found no significant changes. MRS studies have shown decreased levels of NAA (N-acetyl-aspartate) moieties in hippocampus and frontal cortex of schizophrenic patients, which is consistent with the reported loss of neurons and neuropil in postmortem brains. In conclusion, developments in radiotracer and NMR imaging have provided promising leads to the biochemical abnormalities associated with schizophrenia. Future significant understanding is likely to occur with the development of new probes and enhanced instrument technology, when applied with an appreciation of the heterogeneity of the disorder and the need for careful clinical assessment of patients.

Aspartic Acid↗

PubMed2001

[Progress in the study of pain by brain imaging].

This review deals with the recent functional brain imaging studies of pain. In summary, the sensory-discriminative component of pain is related with the lateral thalamus, primary and secondary somatosensory area and insular cortices, while the posterior parietal and prefrontal cortices seem to play a role in the cognitive-attentional process of nociceptive information. Different parts of anterior cingulate gyrus are correlated with cognitive and emotional aspects of pain. Brain imaging data obtained from clinical patients suffering from various kinds of pain especially neuropathic pain, were discussed at the end of this article.

Animals↗

PubMed1998

Estimation of the probabilities of 3D clusters in functional brain images.

The interpretation of functional brain images is often hampered by the presence of noise. This problem is most commonly solved by using a statistical method and only considering signals that are unlikely to occur by chance. The method used should be specific and sensitive, specific because only true signals are of interest and sensitive because this will enable more information to be extracted from each experiment. Here we present a modification of the cluster analysis proposed by Roland et al. (Human Brain Mapping 1: 3-19, 1993). A covariance model is used to test hypotheses for each voxel. The generated statistical images are searched for the largest clusters. From the same data set noise images are generated. For each of these noise images the autocorrelation function is estimated. These estimates are subsequently used to generate simulated noise images, from which a distribution of cluster sizes is derived. The derived distribution is used to estimate probabilities for the clusters detected in the statistical images generated by testing the hypothesis. This presented method is shown to be specific and is further compared with SPM96 and the nonparametric method of Holmes et al. (J. Cereb. Blood Flow Metab. 16: 7-22, 1996).

Artifacts↗

PubMed2000

Functional brain imaging of movement disorders.

Functional brain imaging techniques such as positron emission tomography (PET) have contributed to our understanding of the pathophysiology of Parkinson's disease (PD) and other movement disorders. PET employs small amounts of positron emitting radioligands to produce quantitative measures of physiological and biochemical processes in the brain and other organs. In a PET experiment, a subject is given a compound of biological interest. The spatial and temporal distribution of the radiotracer is measured quantitatively in the course of the PET study, providing a tomographic representation of regional radioactivity concentration. In this review, we focus on the potential application of PET in the selection of suitable candidates and the assessment of surgical interventions such as pallidotomy, thalamotomy, and deep brain stimulation.

Brain↗