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Brain imaging techniques.

In the last decade, functional brain imaging techniques ranging from fMRI to PET to EEG have added to understanding the mechanisms involved in cognitive, affective, and motoric processes. More recently, as demonstrated by papers in a variety of neuroscience journals, the hypnotic experience and its modulation of critical human processes such as pain have added hypnotic procedures to the experimental techniques available for the neuroscience community. For this interplay to be manifested, it is critical that readers understand brain imaging procedures and the types of questions they can and cannot answer. In this spirit, the present article is an overview of the major brain imaging techniques available to a researcher interested in hypnosis.

Brain↗

[Research progress in the technique of integrating multiple imaging modalities in the functional brain imaging].

In the last few years, brain science has exhibited an explosive growth in hemodynamic/metabolic data on brain function. In particular, PET and functional MRI provide excellent spatial resolution, but their temporal resolutions are severely limited by relatively slow responses of brain metabolism. By contrast, EEG and MEG are able to track modulations of current source activity at millisecond time scales, but suffer from poor spatial resolution. Hence, high-resolution spatiotemporal imaging of brain activity requires integration of information from multiple signal modalities. In this paper we discuss what is known about the physical and physiological basis of the imaging signals, suggest various approaches that have been proposed for integrating information across multiple modalities, and briefly analyze the future directions and remaining challenges in the field of multi-modality integration.

Brain↗

Stereotactic PET atlas of the human brain: aid for visual interpretation of functional brain images.

UNLABELLED: In the routine analysis of functional brain images obtained by PET, subjective visual interpretation is often used for anatomic localization. To enhance the accuracy and consistency of the anatomic interpretation, a PET stereotactic atlas and localization approach was designed for functional brain images. METHODS: The PET atlas was constructed from a high-resolution [18F]fluorodeoxyglucose (FDG) image set of a normal volunteer (a 41-yr-old woman). The image set was reoriented stereotactically, according to the intercommissural (anterior and posterior commissures) line and transformed to the standard stereotactic atlas coordinates. Cerebral structures were annotated on the transaxial planes by using a proportional grid system and surface-rendered images. The stereotactic localization technique was applied to image sets from patients with Alzheimer's disease, and areas of functional alteration were localized visually by referring to the PET atlas. RESULTS: Major brain structures were identified on both transaxial planes and surface-rendered images. In the stereotactic system, anatomic correspondence between the PET atlas and stereotactically reoriented individual image sets of patients with Alzheimer's disease facilitated both indirect and direct localization of the cerebral structures. CONCLUSION: Because rapid stereotactic alignment methods for PET images are now available for routine use, the PET atlas will serve as an aid for visual interpretation of functional brain images in the stereotactic system. Widespread application of stereotactic localization may be used in functional brain images, not only in the research setting, but also in routine clinical situations.

Adult↗

Neuroplasticity and brain imaging research: implications for rehabilitation.

Advanced brain imaging technologies have been used recently to investigate neuroplasticity in relation to recovery and treatment of neurologic injury and disease. The contributors to this supplement present data and synthesize the extant literature on the use of functional magnetic resonance imaging, magnetic resonance spectroscopy, optical imaging, transcranial magnetic stimulation, and transcranial direct current stimulation to study remodeling of cortical representation of motor and cognitive abilities after stroke and other etiologies of neurologic impairment. In general, the collective findings of these studies support use-dependent neuroplasticity as a mechanism of recovery and response to training. Brain imaging findings support the role of training effects on increased activation of brain regions ipsilateral to unilateral vascular lesions in facilitating recovery from stroke. The articles in this supplement also report the potential therapeutic application of stimulation techniques to enhance reorganization of function.

Brain Diseases↗

A new point-based warping method for enhanced and simplified analysis of functional brain image data.

Comparison of brain imaging data requires the exact matching of data sets from different individuals. Warping methods, used to optimize matching of data sets, can exploit either local gray value distribution or identifiable reference points within the images to be compared. Gray value-based warping, which is more comfortable, cannot be used if gray values include functional information that should be compared between images. A major drawback in the use of point-based warping methods is the lack of methods for efficient and precise definition of reference points (landmarks) within comparable data sets. Here, we present a novel approach to automatically detect sufficient numbers of landmarks, which is based on 3D differential operators. In addition, we have developed a new distance-weighted warping method, which optimizes individual local weighting factors of displacement vectors. The quality of the methods was evaluated using a set of autoradiographs documenting the metabolic activity of gerbil brains after acoustic stimulation. The new warping method was compared with known methods of landmark-based warping, i.e., warping with radial basis functions and with distance-weighted methods. For the data sets presented in this study our new optimized warping method produced an increase in linear cross correlation of 4.44%, an increase in volume overlap index of 1.55%, and a decrease in the registration error of 36.2%. In addition, the detection of functional differences was improved after warping. Therefore, the new method is a powerful tool, which enhances the comparison of complex biological structures and the quantitative evaluation of functional imaging data.

Algorithms↗

The value of brain imaging in children with headaches.

OBJECTIVE: To determine the value of performing computed tomography (CT) on magnetic resonance imaging (MRI) studies in children with chronic headaches. BACKGROUND: Headache is a common complaint in children. With the proliferation of brain imaging centers and the increasing patient demand for CT or MRI studies, brain imaging has become widely used to evaluate headaches. METHODS: A retrospective chart review was conducted of all children referred to the pediatric neurology clinic for evaluation of headaches over a 2-year period. Charts were reviewed for headache characteristics, clinical indications for performing CT and MRI studies, and imaging results. Particular attention was paid to evidence of brain tumors, vascular anomalies, or hydrocephalus. RESULTS: A total of 133 records were studied. Subjects ranged in age from 3 to 18 years. Most patients were diagnosed as having either vascular migrainous headaches (52%) or chronic tension headaches (21%). Other headache diagnoses were mixed tension-migraine, psychogenic, and post-traumatic. Headaches were unclassified in 25 patients (19%). Seventy-eight patients (59%) had brain imaging: 45 had MRI, 27 had CT, and 6 patients had both. In most cases, brain imaging studies were performed in patients with atypical headache pattern, presence of neurologic abnormalities during the headache, general symptoms (ie, weight loss or fatigue), or because of parents' or doctors' concerns about brain tumors. Cerebral abnormalities were found on brain imaging in four patients, but none indicated the presence of a treatable disease and all were deemed unrelated to the presenting complaint. Our findings of no relevant abnormalities in a series of 78 brain imaging studies indicate that the maximal rate at which such abnormalities might appear in this population is 3.8%. CONCLUSIONS: These results indicate that brain imaging studies have very limited value in evaluating headaches in pediatric patients without clinical evidence of an underlying structural lesion.

Adolescent↗

History of brain imaging in psychiatry.

This is a brief history of the use of brain imaging in neuropsychology and psychiatry. There are two main parts. The first concerns brain imaging using regional cerebral blood flow (rCBF) measurements with xenon clearance. The 2-dimensional rCBF techniques have been used since 1961. The second concerns application of PET techniques starting in the early 80s. Brain imaging has yielded new information on consciousness, cortical localization, language, emotions and will. In psychiatry, brain imaging has revealed regional cerebral abnormalities in schizophrenia, affective disorders, DAMP, as well as following alcohol intake.

Brain↗

Motor recovery after stroke: lessons from functional brain imaging.

Several theories have been proposed to explain recovery from stroke. Functional brain imaging offers an opportunity to evaluate these theories and visualize recovery after stroke. Functional brain imaging has proven to be an effective tool to map brain areas activated during a specific task. This paradigm can extend our understanding of the mechanisms of motor recovery after stroke. Functional brain imaging tools such as functional MRI, PET, transcranial Doppler ultrasonography, and transcranial magnetic stimulation can be used to evaluate motor activation after stroke. Functional imaging is proving useful in identifying areas, pathways and mechanisms involved in motor recovery after stroke. Studies have shown changes in motor organization with rehabilitation. Functional brain imaging may assist in the selection of rehabilitation methods that best foster recovery.

Cerebral Infarction↗

Development of a device for immobilization of head and correlation of functional-anatomical brain images.

BACKGROUND: The excellent resolution of brain imaging modalities has important contributions in the diagnosis of brain diseases. However, involuntary movement by the patient may cause poor image quality. In this study, we developed a device to help keep a patient's head immobilized during brain image acquisition, for comparison between each follow-up study, and for functional-anatomical image correlation. METHODS: This device includes an acrylic material head supporter and a thermoplastic material facemask. The head supporter and the facemask can be firmly attached as a whole to support the head in a fixed position. Two capillary tubes filled with technetium-99m solution were placed perpendicularly on one side of the facemask as fiducial for imaging correlation between different studies. Ten patients, who each had two technetium-99m hexamethyl propyleneamine oxime (99mTc-HMPAO) brain single photon emission computer tomography (SPECT), were tested with this device for imaging. RESULTS: Three-dimensional cine motion and sectional imaging were displayed and confirmed head immobilization in all of these studies. In addition, the 99mTc fiducial were useful in the comparison of head positions among the different studies. In five subjects, the device also proved to be useful in functional-anatomical correlation among SPECT, magnetic resonance imaging (MRI), and computed tomography (CT) images. CONCLUSION: In conclusion, this device has been developed and found to be useful in (1) keeping patient's head immobilization, (2) keeping consistent head position for follow-up studies, and (3) SPECT, MRI and CT functional-anatomical imaging correlation.

Brain↗

Cellular mechanisms of brain energy metabolism and their relevance to functional brain imaging.

Despite striking advances in functional brain imaging, the cellular and molecular mechanisms that underlie the signals detected by these techniques are still largely unknown. The basic physiological principle of functional imaging is represented by the tight coupling existing between neuronal activity and the associated local increase in both blood flow and energy metabolism. Positron emission tomography (PET) signals detect blood flow, oxygen consumption and glucose use associated with neuronal activity; the degree of blood oxygenation is currently thought to contribute to the signal detected with functional magnetic resonance imaging, while magnetic resonance spectroscopy (MRS) identifies the spatio-temporal pattern of the activity-dependent appearance of certain metabolic intermediates such as glucose or lactate. Recent studies, including those of neurotransmitter-regulated metabolic fluxes in purified preparations and analyses of the cellular localization of enzymes and transporters involved in energy metabolism, as well as in vivo microdialysis and MRS approaches have identified the neurotransmitter glutamate and astrocytes, a specific type of glial cell, as pivotal elements in the coupling of synaptic activity with energy metabolism. Astrocytes are ideally positioned to sense increases in synaptic activity and to couple them with energy metabolism. Indeed they possess specialized processes that cover the surface of intraparenchymal capillaries, suggesting that astrocytes may be a likely site of prevalent glucose uptake. Other astrocyte processes are wrapped around synaptic contacts which possess receptors and reuptake sites for neurotransmitters. Glutamate stimulates glucose uptake into astrocytes. This effect is mediated by specific glutamate transporters present on these cells. The activity of these transporters, which is tightly coupled to the synaptic release of glutamate and operates the clearance of glutamate from the extracellular space, is driven by the electrochemical gradient of Na+. This Na(+)-dependent uptake of glutamate into astrocytes triggers a cascade of molecular events involving the Na+/K(+)-ATPase leading to the glycolytic processing of glucose and the release of lactate by astrocytes. The stoichiometry of this process is such that for one glutamate molecule taken up with three Na+ ions, one glucose molecule enters an astrocyte, two ATP molecules are produced through aerobic glycolysis and two lactate molecules are released. Within the astrocyte, one ATP molecule fuels one 'turn of the pump' while the other provides the energy needed to convert glutamate to glutamine by glutamine synthase. Evidence has been accumulated from structural as well as functional studies indicating that, under aerobic conditions, lactate may be the preferred energy substrate of activated neurons. Indeed, in the presence of oxygen, lactate is converted to pyruvate, which can be processed through the tricarboxylic acid cycle and the associated oxidative phosphorylation, to yield 17 ATP molecules per lactate molecule. These data suggest that during activation the brain may transiently resort to aerobic glycolysis occurring in astrocytes, followed by the oxidation of lactate by neurons. The proposed model provides a direct mechanism to couple synaptic activity with glucose use and is consistent with the notion that the signals detected during physiological activation with 18F-deoxyglucose (DG)-PET may reflect predominantly uptake of the tracer into astrocytes. This conclusion does not question the validity of the 2-DG-based techniques, rather it provides a cellular and molecular basis for these functional brain imaging techniques.

Animals↗

Sleep deprivation as a model experimental antidepressant treatment: findings from functional brain imaging.

This paper reviews the functional brain imaging studies in depressed patients treated with sleep deprivation. Sleep deprivation is an excellent experimental model of antidepressant treatments which offer new opportunities to understand the basic neural mechanisms. Its antidepressant effects are efficacious and rapid; sleep deprivation is easy to administer, inexpensive, and relatively safe; it can be studied in patients, normal controls, and animals; and it may lead to new treatments and new paradigms for antidepressant therapies. Seven published papers, coming from five different research centers, using either positron emission tomography (PET) with 18fluorodeoxyglucose (FDG) or single photon emission computerized tomography (SPECT) with Technetium-99-bexamethyl propyleneamine oxime (HMPAO) have relatively consistent findings. First, before sleep deprivation, responders have significantly elevated metabolism compared with non-responders, and usually the normal controls, in the orbital medial prefrontal cortex, and especially in the ventral portions of the anterior cingulate cortex. Secondly, after sleep deprivation, these hyperactive areas normalize in the responders. The magnitude of the clinical improvement was significantly correlated with decreased local glucose metabolic rate or cerebral blood flow in three studies. The results are consistent with some but not all functional brain imaging studies of antidepressant medications in depressed patients. Finally, a SPECT study using a radioactively labeled D2 receptor antagonist suggests that the antidepressant benefits of sleep deprivation are correlated with endogenous release of dopamine.

Brain↗

Integrated presentation of multimodal brain images.

This article discusses the fusion of brain images from multiple modalities as well as the presentation of the integrated image information. The paper has three parts. First, individual brain imaging modalities are compared as regards clinical appreciation, invasiveness, dimensionality, spatial resolution, temporal resolution, and cost. Next, methods to combine multiple images are briefly surveyed and collated by characteristics as accuracy, patient-friendliness, reproducibility, labour-extensiveness, feasibility of retrospective matching, and general applicability. Finally, techniques to display multimodal image information are outlined and examples of the various options for integrated presentation are shown.

Brain↗

Brain imaging of attentional networks in normal and pathological states.

The ability to image the human brain has provided a new perspective for neuropsychologists in their efforts to understand, diagnose, and treat insults to the human brain that might occur as the result of stroke, tumor, traumatic injury, degenerative disease, or errors in development. These new findings are the major theme of this special issue. In our article, we consider brain networks that carry out the functions of attention. We outline several such networks that have been studied in normal and pathological states. These include networks for orienting to sensory stimuli, for maintaining the alert state, and for orchestrating volitional control. There is evidence that these networks have a certain degree of anatomical and functional independence, but that they also interact in many practical situations. Damage to each of these networks, irrespective of the source, produces distinctive neuropsychological deficits. We consider the links between the etiology of the injury and changes in cognition and behavior and examine the role of brain imaging in the study of rehabilitation.

Attention↗

Brain-imaging studies of cognitive functions.

Little is understood about the brain, the mind and their relationships. However, rapid technical advances in brain-imaging devices such as positron emission tomography (PET), functional magnetic resonance imaging, EEG and EMG have increased the capabilities for visualizing the working brain, and uncovering the cerebral areas participating in the realization of cognitive tasks, and progress in cognitive science has led to a better understanding of the functional architecture of mental abilities. There is, therefore, considerable potential for achieving a greater understanding of the relationships between cognition and cerebral structures through brain-imaging studies of mental functions. However, these studies are confronted with a series of difficulties related to the assumptions that govern their application, the constraints imposed by these techniques on the design of cognitive experiments, the complexities inherent in establishing relations between cognition and anatomy through physiology, and to the interpretation of patterns of cerebral activation. In this article, potential difficulties are described drawing essentially on examples from PET studies of cognitive functions. Whereas a bright future lies ahead for the study of human brain mapping, many problems still have to be overcome and solved in order to exploit the full potential of new brain-imaging techniques.

Brain↗

Imaging brain tumors by targeting peptide radiopharmaceuticals through the blood-brain barrier.

Present day imaging of brain tumors requires a disrupted blood-brain barrier (BBB). However, the BBB is intact in the early stages of brain tumor growth, when diagnosis is most critical. Relative to normal brain, brain tumor cells frequently overexpress peptide receptors, such as the receptor for epidermal growth factor (EGF). Peptide radiopharmaceuticals such as radiolabeled EGF could be used to image early brain tumors, should these radiopharmaceuticals be made transportable through the BBB. The present studies describe a bifunctional molecule that contains both biologically active human EGF radiolabeled with 111In and an anti-transferrin receptor monoclonal antibody that undergoes transcytosis through the BBB via the endogenous transferrin transport system. The two domains of the bifunctional conjugate are separated by a Mr 3400 polyethyleneglycol linker, which releases steric hindrance and allows the conjugate to bind to both the EGF receptor, to image the brain tumor, and to the transferrin receptor, to enable transport through the BBB. Successful imaging of experimental brain tumors with this system is demonstrated in nude rats bearing cerebral implants of human U87 glioma.

Animals↗

Three-dimensional anatomical model-based segmentation of MR brain images through Principal Axes Registration.

Model-based segmentation and analysis of brain images depends on anatomical knowledge which may be derived from conventional atlases. Classical anatomical atlases are based on the rigid spatial distribution provided by a single cadaver. Their use to segment internal anatomical brain structures in a high-resolution MR brain image does not provide any knowledge about the subject variability, and therefore they are not very efficient in analysis. We present a method to develop three-dimensional computerized composite models of brain structures to build a computerized anatomical atlas. The composite models are developed using the real MR brain images of human subjects which are registered through the Principal Axes Transformation. The composite models provide probabilistic spatial distributions, which represent the variability of brain structures and can be easily updated for additional subjects. We demonstrate the use of such a composite model of ventricular structure to help segmentation of the ventricles and Cerebrospinal Fluid (CSF) of MR brain images. In this paper, a composite model of ventricles using a set of 22 human subjects is developed and used in a model-based segmentation of ventricles, sulci, and white matter lesions. To illustrate the clinical usefulness, automatic volumetric measurements on ventricular size and cortical atrophy for an additional eight alcoholics and 10 normal subjects were made. The volumetric quantitative results indicated regional brain atrophy in chronic alcoholics.

Alcoholism↗

Can brain-imaging studies provide a 'mood stabilizer signature?'.

Brain-imaging investigations have attempted to characterize the neurobiological basis of bipolar disorder. Preliminary studies have also focused on in vivo brain correlates of treatment response with antidepressants, mood stabilizers and other psychotropic medications. A MEDLINE literature search was conducted dating back to 1966. Selected in vivo brain-imaging studies that examined neurobiological correlates of treatment response in mood disorder patients were identified. Discrete anatomical abnormalities in subregions of the prefrontal cortex, medial temporal lobe and cerebellum have been identified in bipolar patients. Functional imaging studies suggested abnormalities in particular brain circuits encompassing these same brain regions and the striatum. However, functional imaging correlates of treatment response with lithium or other mood stabilizers have not yet been characterized. Neurochemical studies suggested a reduction in N-acetyl aspartate levels in prefrontal cortex and abnormalities in membrane phospholipids in frontal and temporal lobes. Preliminary findings suggest that lithium may increase the gray matter content and N-acetyl aspartate levels in various cortical regions, which could reflect its putative neurotrophic effects. Few in vivo receptor-imaging studies have examined brain correlates of treatment response in bipolar patients. The available studies suggest anatomical, neurochemical and functional brain abnormalities in bipolar patients. However, in vivo brain correlates of treatment response with mood stabilizers in bipolar patients have not yet been well characterized.

Antidepressive Agents↗