Quantitative imaging of substance P in the human brain using a brain mapping analyzer.
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Journal Article↗
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Results for “Brain Mapping”
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Synthesis of 3beta-(4-[18F]fluoromethylphenyl)- and 3beta-(2-[18F] fluoromethylphenyl)tropane-2beta-carboxylic acid methyl esters: new ligands for mapping brain dopamine transporter with positron emission tomography.
The synthesis of two new dopamine transporter ligands, 3beta-(4-fluoromethylphenyl)tropane-2beta-carboxylic acid methyl ester and 3beta-(2-fluoromethylphenyl)tropane-2beta-carboxylic acid methyl ester, and their spectral characterization are described. The precursors for these ligands were prepared by TiCl4 catalyzed chloromethylation of 3beta-phenyltropane-2beta-carboxylic acid methyl ester followed by separation of the isomeric product mixture of 2- and 4-chloromethylphenyltropane derivatives. Reaction of the chloromethyl analogs with no-carrier-added [18F]fluoride ion followed by high performance liquid chromatography purification provided the corresponding [18F]fluoromethyltropanes, in good radiochemical yields, useful for imaging the brain dopamine transporter system in vivo with positron emission tomography.
Brain↗
From single-channel recordings to brain-mapping devices: the impact of electroencephalography on experimental psychology.
Since its discovery in 1920, the electroencephalogram (EEG) has become a widely used tool in experimental psychology. Although originally the merits of the method were seen first of all in an improvement of medical diagnostics it was soon understood by psychologists that EEG can also be used to study psychic processes in healthy participants. This article summarizes important events in the history of EEG research that laid the ground for this development, as fast Fourier transformation to analyze the spontaneous activity and signal averaging to improve the signal-to-noise ratio. The article shows how general technological developments were the prerequisite for these methodological improvements in EEG research and how they inspired new research questions. Key discoveries that proved unequivocally that psychic processes do become manifest in EEG signals are briefly reviewed, and the emerging paradigm of cognitive psychophysiology, which is closely linked to the development of EEG research, is described.
Electroencephalography↗
Alpha[C-11]methyl-L-tryptophan PET maps brain serotonin synthesis and kynurenine pathway metabolism.
Alpha[C-11]methyl-L-tryptophan (AMT) is an analog of tryptophan used with positron emission tomography for the measurement of serotonin synthesis in humans. Several attempts have been made to estimate the serotonin synthesis rate from plasma and brain kinetic data of AMT using the same model as that applied for the measurement of the glucose metabolic rate with 2-deoxyglucose. However, although AMT is similar to 2-deoxyglucose with regard to an irreversible pool of tracer uptake, there are important differences between the two tracers and how the model can be applied. These differences include transport at the blood-brain barrier and the presence of a large unmetabolized pool of AMT, precluding the method from providing the absolute serotonin synthesis rate. Despite this limitation, the unidirectional uptake rate constant (K-complex) values have been found to be stable within an individual, and the rank order of regional brain values for K-complex are consistent with the rank order for serotonin content in human brain. Furthermore, changes in K-complex with age, gender, and disease states are consistent with previously reported biochemical measurements of serotonin in brain tissue. The authors suggest, therefore, that the K-complex is an index of serotonin synthesis which they have termed the "serotonin synthesis capacity." The authors argue that AMT is a useful tracer for study of serotonergic mechanisms, and under certain pathologic states, of metabolism by means of the kynurenine pathway.
Brain↗
Neuroimaging and cartography: mapping brain tumors.
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Brain↗
[Forgetfulness and amnesia: receptor mechanisms and brain mapping].
Inability to remember and amnesia have been shown to be active neurochemical processes. The coupled processes (blockade of the triggering DA stimulating system and activation of the inhibitory GABA-ergic system with the predominant value of postsynaptic D-2 receptors) are a neurochemical basis for development of amnesia. The mechanisms of spontaneous forgetting is provided by a decrease in the activity of the dopaminergic system along with the enhancement of benzodiazepine-GABA-ergic interferentional inhibition. The observed changes in dopamine metabolism, para-tyramine appearance, as well as restructure of D-2 receptors provide the activity of dopamine increasing mechanism which determines the retention of memory traces. A computer model of the spatial interaction of the dopamine membrane-receptor complex was constructed by scanning the samples of synaptic membranes after learning and amnesia. A new method of inducing psychogenic amnesia in human beings has been elaborated. Amnesia is characterized by the absence of increases in the number of cortical connections reflecting the emotional factor of information.
Amnesia↗
Topographic voltage and coherence mapping of brain potentials by means of the symbolic resonance analysis.
We apply the recently developed symbolic resonance analysis to electroencephalographic measurements of event-related brain potentials (ERPs) in a language processing experiment by using a three-symbol static encoding with varying thresholds for analyzing the ERP epochs, followed by a spin-flip transformation as a nonlinear filter. We compute an estimator of the signal-to-noise ratio (SNR) for the symbolic dynamics measuring the coherence of threshold-crossing events. Hence, we utilize the inherent noise of the EEG for sweeping the underlying ERP components beyond the encoding thresholds. Plotting the SNR computed within the time window of a particular ERP component (the N400) against the encoding thresholds, we find different resonance curves for the experimental conditions. The maximal differences of the SNR lead to the estimation of optimal encoding thresholds. We show that topographic brain maps of the optimal threshold voltages and of their associated coherence differences are able to dissociate the underlying physiological processes, while corresponding maps gained from the customary voltage averaging technique are unable to do so.
Algorithms↗
Developmental mouse brain gene expression maps.
Brain gene expression databases are providing an increasing amount of information to the neuroscience community. Most databases are focused on the adult mouse rather than embryonic development. Here we survey the major mouse gene expression databases for the developing brain. The high throughput in situ hybridization approach generates large volumes of gene expression data that can be compiled and examined in a relatively short period of time. It is of increasing importance to compare gene expression patterns of neurodevelopment in the brain in relation to the adult. Often clues to adult gene expression and gene function can be determined by examining embryonic development. It is our hope that once all genes are mapped in the brain from the embryo to the adult, studies can be conducting based on information derived from such databases in conjunction with other bioinformatics sources.
Animals↗
Mapping human brain function with MEG and EEG: methods and validation.
We survey the field of magnetoencephalography (MEG) and electroencephalography (EEG) source estimation. These modalities offer the potential for functional brain mapping with temporal resolution in the millisecond range. However, the limited number of spatial measurements and the ill-posedness of the inverse problem present significant limits to our ability to produce accurate spatial maps from these data without imposing major restrictions on the form of the inverse solution. Here we describe approaches to solving the forward problem of computing the mapping from putative inverse solutions into the data space. We then describe the inverse problem in terms of low dimensional solutions, based on the equivalent current dipole (ECD), and high dimensional solutions, in which images of neural activation are constrained to the cerebral cortex. We also address the issue of objective assessment of the relative performance of inverse procedures by the free-response receiver operating characteristic (FROC) curve. We conclude with a discussion of methods for assessing statistical significance of experimental results through use of the bootstrap for determining confidence regions in dipole-fitting methods, and random field (RF) and permutation methods for detecting significant activation in cortically constrained imaging studies.
Brain Mapping↗
Evidence that cerebral blood volume can provide brain activation maps with better spatial resolution than deoxygenated hemoglobin.
With the aim of evaluating the relative performance of hemodynamic contrasts for mapping brain activity, the spatio-temporal response of oxy-, deoxy-, and total-hemoglobin concentrations were imaged with diffuse optical tomography during electrical stimulation of the rat somatosensory cortex. For both 6-s and 30-s stimulus durations, total hemoglobin images provided smaller activation areas than oxy- or deoxy-hemoglobin images. In addition, analysis of regions of interest near the sagittal sinus vein show significantly greater contrast in both oxy- and deoxy-relative to total hemoglobin, suggesting that oximetric contrasts have larger draining vein contributions compared to total hemoglobin contrasts under the given stimulus conditions. These results indicate that total hemoglobin and cerebral blood volume may have advantages as hemodynamic mapping contrasts, particularly for large amplitude, longer duration stimulus paradigms.
Algorithms↗
Mapping adolescent brain change reveals dynamic wave of accelerated gray matter loss in very early-onset schizophrenia.
Neurodevelopmental models for the pathology of schizophrenia propose both polygenetic and environmental risks, as well as early (pre/perinatal) and late (usually adolescent) developmental brain abnormalities. With the use of brain mapping algorithms, we detected striking anatomical profiles of accelerated gray matter loss in very early-onset schizophrenia; surprisingly, deficits moved in a dynamic pattern, enveloping increasing amounts of cortex throughout adolescence. Early-onset patients were rescanned prospectively with MRI, at 2-year intervals at three time points, to uncover the dynamics and timing of disease progression during adolescence. The earliest deficits were found in parietal brain regions, supporting visuospatial and associative thinking, where adult deficits are known to be mediated by environmental (nongenetic) factors. Over 5 years, these deficits progressed anteriorly into temporal lobes, engulfing sensorimotor and dorsolateral prefrontal cortices, and frontal eye fields. These emerging patterns correlated with psychotic symptom severity and mirrored the neuromotor, auditory, visual search, and frontal executive impairments in the disease. In temporal regions, gray matter loss was completely absent early in the disease but became pervasive later. Only the latest changes included dorsolateral prefrontal cortex and superior temporal gyri, deficit regions found consistently in adult studies. These emerging dynamic patterns were (i) controlled for medication and IQ effects, (ii) replicated in independent groups of males and females, and (iii) charted in individuals and groups. The resulting mapping strategy reveals a shifting pattern of tissue loss in schizophrenia. Aspects of the anatomy and dynamics of disease are uncovered, in a changing profile that implicates genetic and nongenetic patterns of deficits.
Adolescent↗
Maps of the brain.
We review recent developments in brain mapping and computational anatomy that have greatly expanded our ability to analyze brain structure and function. The enormous diversity of brain maps and imaging methods has spurred the development of population-based digital brain atlases. These atlases store information on how the brain varies across age and gender, across time, in health and disease, and in large human populations. We describe how brain atlases, and the computational tools that align new datasets with them, facilitate comparison of brain data across experiments, laboratories, and from different imaging devices. The major methods are presented for the construction of probabilistic atlases, which store information on anatomic and functional variability in a population. Algorithms are reviewed that create composite brain maps and atlases based on multiple subjects. We show that group patterns of cortical organization, asymmetry, and disease-specific trends can be resolved that may not be apparent in individual brain maps. Finally, we describe the creation of four-dimensional (4D) maps that store information on the dynamics of brain change in development and disease. Digital atlases that correlate these maps show considerable promise in identifying general patterns of structural and functional variation in human populations, and how these features depend on demographic, genetic, cognitive, and clinical parameters.
Algorithms↗
Neuroimaging and obesity: mapping the brain responses to hunger and satiation in humans using positron emission tomography.
The hypothalamus has a major role in the control of food intake. However, neurotracing studies have shown that the hypothalamus receives input from several other regions of the brain that are likely to modulate its activity. Of particular interest to the understanding of human eating behavior is the possible involvement of the cortex. Using positron emission tomography (PET), we generated functional brain maps of the neuroanatomical correlates of hunger (after a 36-h fast) and satiation (after oral administration of a liquid formula meal) in lean and obese subjects. Results in lean individuals indicate that the neuroanatomical correlates of hunger form a complex network of brain regions including the hypothalamus, thalamus, and several limbic/paralimbic areas such as the insula, hippocampal/parahippocampal formation, and the orbitofrontal cortex. Satiation was associated with preferentially increased neuronal activity in the prefrontal cortex. Our studies also indicate that the brain responses to hunger/satiation in the hypothalamus, limbic/paralimbic areas (commonly associated with the regulation of emotion), and prefrontal cortex (thought to be involved in the inhibition of inappropriate response tendencies) might be different in obese and lean individuals. In conclusion, neuroimaging of the human brain is proving to be an important tool for understanding the complexity of brain involvement in the regulation of eating behavior. PET studies might help to unravel the neuropathophysiology underlying human obesity.
Adolescent↗
The importance of brainstem mapping in brainstem surgical anatomy before the fourth ventricle and implication for intraoperative neurophysiological mapping.
Brain stem mapping (BSM) is an intraoperative neurophysiological procedure to localize cranial motor nuclei on the floor of the fourth ventricle. BSM enables neurosurgeon to understand functional anatomy on the distorted floor of the fourth ventricle, thus, it is emerging as an indispensable tool for challenging brain stem surgery. The authors described the detail of BSM with the special emphasis on its clinical application for the brain stem lesion. Surgical implications based on the result of brains stem mapping would be also informative before planning a brain stem surgery through the floor of fourth ventricle. Despite the recent advancement of MRI to depict the lesion in the brain stem, BSM remains as the only way to provide surgical anatomy in the operative field. BSM could guide a neurosurgeon to the inside of brain stem while preventing direct damage to the cranial motor nuclei on the floor of the fourth ventricle. It is expected that understanding its advantage and limitations would help neurosurgeon to perform safer surgery to the brain stem lesion.
Adult↗
Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models.
In this paper, a novel functional magnetic resonance imaging (fMRI) brain mapping method is presented within the statistical modeling framework of hidden semi-Markov event sequence models (HSMESMs). Neural activation detection is formulated at the voxel level in terms of time coupling between the sequence of hemodynamic response onsets (HROs) observed in the fMRI signal, and an HSMESM of the hidden sequence of task-induced neural activations. The sequence of HRO events is derived from a continuous wavelet transform (CWT) of the fMRI signal. The brain activation HSMESM is built from the timing information of the input stimulation protocol. The rich mathematical framework of HSMESMs makes these models an effective and versatile approach for fMRI data analysis. Solving for the HSMESM Evaluation and Learning problems enables the model to automatically detect neural activation embedded in a given set of fMRI signals, without requiring any template basis function or prior shape assumption for the fMRI response. Solving for the HSMESM Decoding problem allows to enrich brain mapping with activation lag mapping, activation mode visualizing, and hemodynamic response function analysis. Activation detection results obtained on synthetic and real epoch-related fMRI data demonstrate the superiority of the HSMESM mapping method with respect to a real application case of the statistical parametric mapping (SPM) approach. In addition, the HSMESM mapping method appears clearly insensitive to timing variations of the hemodynamic response, and exhibits low sensitivity to fluctuations of its shape.
Algorithms↗
A critical review of clinical applications of topographic mapping of brain potentials.
A brief review of several aspects of topographic mapping of brain potentials is presented. Some general factors of importance for the construction of brain maps are considered, namely, how to sample in space and how to deal with the influence of the reference electrode. The issue of what is a representative map is examined for the cases of both steady and dynamic states. Special attention is paid to the methodology of assessing whether a brain map may be considered "normal" or "abnormal" on the basis of multivariate statistical considerations. Besides being used to visualize statistical comparisons between sets of EEG data, brain maps may be used as a first step for a model-based analysis in order to estimate the localization of equivalent dipolar sources of the electrical activity within the brain. The question of whether brain maps may yield added value to multivariate quantitative EEG analysis is examined for the following clinical cases: (1) developmental disorders; (2) space-occupying lesions; (3) epilepsy; (4) cerebrovascular diseases; (5) dementia; and (6) psychiatric diseases. It is concluded that brain mapping may be valuable as a comprehensive and attractive form of data reduction to represent a complex set of multichannel (optimally at least 64) EEG signals, but only if the user is well aware of the pitfalls involved. Brain mapping might supplement quantitative topographic analysis if it can be used as the basis for solving the inverse problem in EEG. More extensive and well-controlled studies are necessary in order to establish the clinical value of complementing a routine EEG examination with brain mapping.
Brain↗
[Neurotransmission in human brains measured by positron emission tomography (PET)].
Various techniques have been developed to image human brain function in the past decade. X-ray computerized tomography and magnetic resonance imaging (MR) are used to evaluate brain structure. Recently, positron emission tomography (PET) and MR are often utilized to perform human brain mapping such as attention, cognition, language comprehension, and so on. PET also makes it possible to evaluate the states of various types of neurotransmission. These techniques cannot only be used to map "brain neurochemistry" in normal human brains, but they will also increase our knowledge by demonstrating neurochemical abnormalities in a wide range of neurological and psychiatric disorders or those that occur during normal aging. The PET techniques are applicable to the development of new drugs in the pharmaceutical industry. Using PET techniques of imaging neurotransmission, it is feasible to measure the release of neurotransmitter after activation of the CNS by various methods (ligand activation study). We have developed the methodology of using 11C-labeled antagonists for mapping functional histamine H1-receptors in human brain directly and noninvasively by PET. The present review article provides an outline of the conceptual and methodological progress over the past several years that has made it possible to visualize neurotransmission in human brains by PET.
Animals↗
Structure and function: brain electrical activity mapping and computed tomography in schizophrenia.
A computerized topographic technique that maps brain electrical activity is applied to the investigation of neurophysiological abnormalities in medicated and drug-free schizophrenic patients. This topographic approach uses EEG and evoked potentials to provide functional measures of electrophysiological abnormalities. Neurophysiological differences between schizophrenic patients and controls are delineated which add further evidence that frontal lobe dysfunction may be relevant to our understanding of schizophrenia. An initial investigation employs computed tomography to examine the relationship of structural anatomical pathology in schizophrenia with the functional abnormalities that may be defined using brain electrical activity mapping. When schizophrenic patients with and without frontal cortical atrophy were compared, electrophysiological differences were delineated that overlay frontal cortical regions. This preliminary work suggests that in schizophrenia, abnormal electrophysiological function is associated with definable gross morphological abnormalities of the brain.
Adult↗