Regional Cerebral Blood Flow Data Research Articles

Brain network changes and memory decline in aging.

One theory of age-related cognitive decline proposes that changes within the default mode network (DMN) of the brain impact the ability to successfully perform cognitive operations. To investigate this theory, we examined functional covariance within brain networks using regional cerebral blood flow data, measured by 15O-water PET, from 99 participants (mean baseline age 68.6±7.5) in the Baltimore Longitudinal Study of Aging collected over a 7.4year period. The sample was divided in tertiles based on longitudinal performance on a verbal recognition memory task administered during scanning, and functional covariance was compared between the upper (improvers) and lower (decliners) tertile groups. The DMN and verbal memory networks (VMN) were then examined during the verbal memory scan condition. For each network, group differences in node-to-network coherence and individual node-to-node covariance relationships were assessed at baseline and in change over time. Compared with improvers, decliners showed differences in node-to-network coherence and in node-to-node relationships in the DMN but not the VMN during verbal memory. These DMN differences reflected greater covariance with better task performance at baseline and both increasing and declining covariance with declining task performance over time for decliners. When examined during the resting state alone, the direction of change in DMN covariance was similar to that seen during task performance, but node-to-node relationships differed from those observed during the task condition. These results suggest that disengagement of DMN components during task performance is not essential for successful cognitive performance as previously proposed. Instead, a proper balance in network processes may be needed to support optimal task performance.

A spontaneous depressive pattern in adult female rhesus macaques.

Non-human primates offer unique opportunities to study the development of depression rooted in behavioral and physiological abnormalities. This study observed adult female rhesus macaques within social hierarchies and aimed to characterize the physiological and brain abnormalities accompanying depressive-like behavior. The behaviors of 31 female rhesus macaques from 14 different breeding groups were video recorded, and the footage was analyzed using the focal animal technique. There were 13 monkeys who never displayed huddling behavior (non-huddlers). The remaining 18 monkeys were divided into two groups according the mean time spent in the huddle posture. Four monkeys were designated as high huddlers, whereas the other 14 monkeys were low huddlers. An inverse relationship was discovered between social rank and depression. High huddlers spent more time engaging in physical contact and in close proximity to other monkeys, as well as less time spontaneously and reactively locomoting, than low huddlers and/or non-huddlers. Cortisol levels measured from the hair were elevated significantly in high huddlers compared with low huddlers and non-huddlers, and the measured cortisol levels were specifically higher in high huddlers than subordinate or dominant control monkeys. Regional cerebral blood flow data revealed significant and widespread decreases in high huddlers compared with non-huddlers.

Performance-based connectivity analysis: A path to convergence with clinical studies

Connectivity analyses have become increasingly important in functional imaging. When used to describe the functional anatomy of a specific behavior, these analyses are generally applied to a subset of the data that demonstrate significant differences when experimental conditions are contrasted. Such data reduction is sub-optimal for a systems approach as it assumes that all data that survive the statistical contrast filter are related to the behavior and that none of the filtered data has a significant function. When such data filtering is applied to speech and language tasks, the resulting functional anatomy rarely reflects the brain lateralization established in over a century and a half of clinical studies. A two-step performance-based connectivity analysis is described in which the first step uses multiple linear regression to establish a direct relationship between regional brain activity and a measure of performance. The second step uses partial correlations to examine the functional relationships between the predictor regions and other brain regions. When applied to regional cerebral blood flow data obtained with positron emission tomography during a speech production task, the results demonstrate left lateralization of motor control areas, thalamic involvement in repetition rate, and auditory cortical suppression, all consistent with clinical observations. The integration of performance measures into the earliest stages of image analysis without reliance on data filtering based on decomposition may provide a path toward convergence with traditional descriptions of functional anatomy based on clinical studies.

“TARGET BYPASS”

To introduce a method for preoperative targeting of a proper recipient artery in superficial temporal artery-to-middle cerebral artery anastomosis. Six operations for superficial temporal artery-to-middle cerebral artery anastomosis in four patients with moyamoya disease or moyamoya-like disease and two operations in two patients with atherosclerotic cerebrovascular occlusive disease accompanied by coronary artery stenosis were performed using our method. Before surgery, a 3-Tesla magnetic resonance imaging study was performed with axial T1-weighted three-dimensional magnetization-prepared rapid acquisition gradient-echo sequences and three-dimensional time-of-flight magnetic resonance angiography. Data on quantitative regional cerebral blood flow were obtained by iodine-123-labeled N-isopropyl-iodoamphetamine single-photon emission computed tomography or positron emission computed tomography. The magnetic resonance angiography and regional cerebral blood flow data sets were registered with the magnetization-prepared rapid acquisition gradient-echo data set by means of the coregistration function of the SPM2 software. We examined the arteries located on or near the cortex where the regional cerebral blood flow had significantly decreased and used the coregistered data set and MRIcro software to select the cortical artery with the largest diameter as the target recipient artery. At the surgery, the data sets were applied to the neuronavigation system and the actual site of the target was confirmed in the operation before scalp incision. The superficial temporal artery was anastomosed with the target through a small craniotomy. Successful bypass surgery to the target was confirmed in all cases. The "target bypass" method might be effective for cases with moyamoya disease or for cases requiring surgery through a small craniotomy.

｀９９ｍ´Ｔｃ‐ＥＣＤを用いた，脳循環予備能評価法（ＴＩＥ法）の自動定量解析ツールの開発と臨床例での検証

In nuclear medicine, cerebral vascular reserve(CVR) is evaluated using technetium-99m ethyl cysteinate dimer [99mTc-ECD] and acetazolamide(ACZ). We developed a protocol involving the intravenous injection of 99mTc-ECD in three divided doses(TIE method), and have found that the cerebrovascular response to ACZ depended on time after ACZ administration. However, it was difficult to obtain high-precision quantitative SPECT images by the conventional method because of complicated image processing and image degradation accompanying image subtraction. We recently developed software known as the Automatic Quantitative CVR Estimation Tool(hereinafter referred to as Triple AQCEL), which, after the input of simple parameters, enables us to carry out automatic reconstruction of quantitative SPECT images without image degradation due to subtraction. Triple AQCEL was determined to reduce image degradation caused by subtraction and to provide valid quantitative data. Because Triple AQCEL does not require manual determination of ROI or image selection for the reconstruction of quantitative SPECT images, reproducibility of regional cerebral blood flow by 3DSRT is ensured. Since all analyses in evaluation by the TIE method are automated and the operator plays no part in them, with the resulting increase of throughput, this software will contribute to improved reproducibility of regional cerebral blood flow data, and will be useful in clinical pathophysiological assessment both preoperatively and during postoperative follow-up.

“Target Bypass”: A Method for Preoperative Targeting of A Recipient Artery in Superficial Temporal Artery-to-Middle Cerebral Artery Anastomoses

To introduce a method for preoperative targeting of a proper recipient artery in superficial temporal artery-to-middle cerebral artery anastomosis. Six operations for superficial temporal artery-to-middle cerebral artery anastomosis in four patients with moyamoya disease or moyamoya-like disease and two operations in two patients with atherosclerotic cerebrovascular occlusive disease accompanied by coronary artery stenosis were performed using our method. Before surgery, a 3-Tesla magnetic resonance imaging study was performed with axial T1-weighted three-dimensional magnetization-prepared rapid acquisition gradient-echo sequences and three-dimensional time-of-flight magnetic resonance angiography. Data on quantitative regional cerebral blood flow were obtained by iodine-123-labeled N-isopropyl-iodoamphetamine single-photon emission computed tomography or positron emission computed tomography. The magnetic resonance angiography and regional cerebral blood flow data sets were registered with the magnetization-prepared rapid acquisition gradient-echo data set by means of the coregistration function of the SPM2 software. We examined the arteries located on or near the cortex where the regional cerebral blood flow had significantly decreased and used the coregistered data set and MRIcro software to select the cortical artery with the largest diameter as the target recipient artery. At the surgery, the data sets were applied to the neuronavigation system and the actual site of the target was confirmed in the operation before scalp incision. The superficial temporal artery was anastomosed with the target through a small craniotomy. Successful bypass surgery to the target was confirmed in all cases. The "target bypass" method might be effective for cases with moyamoya disease or for cases requiring surgery through a small craniotomy.

0415 LIFETIME TRAUMA, DISSOCIATION AND POSITIVE SYMPTOMS IN PSYCHOSIS

Dissociative identity disorder (DID) patients function as two or more identities or dissociative identity states (DIS), categorized as ‘neutral identity states’ (NIS) and ‘traumatic identity states’ (TIS). NIS inhibit access to traumatic memories thereby enabling daily life functioning. TIS have access and responses to these memories. We tested whether these DIS show different psychobiological reactions to trauma-related memory.A symptom provocation paradigm with 11 DID patients was used in a two-by-two factorial design setting. Both NIS and TIS were exposed to a neutral and a trauma-related memory script. Three psychobiological parameters were tested: subjective ratings (emotional and sensori-motor), cardiovascular responses (heart rate, blood pressure, heart rate variability) and regional cerebral blood flow as determined with H215O positron emission tomography.Psychobiological differences were found for the different DIS. Subjective and cardiovascular reactions revealed significant main and interactions effects. Regional cerebral blood flow data revealed different neural networks to be associated with different processing of the neutral and trauma-related memory script by NIS and TIS.Patients with DID encompass at least two different DIS. These identities involve different subjective reactions, cardiovascular responses and cerebral activation patterns to a trauma-related memory script.

Psychobiological Characteristics of Dissociative Identity Disorder: A Symptom Provocation Study

Dissociative identity disorder (DID) patients function as two or more identities or dissociative identity states (DIS), categorized as 'neutral identity states' (NIS) and 'traumatic identity states' (TIS). NIS inhibit access to traumatic memories thereby enabling daily life functioning. TIS have access and responses to these memories. We tested whether these DIS show different psychobiological reactions to trauma-related memory. A symptom provocation paradigm with 11 DID patients was used in a two-by-two factorial design setting. Both NIS and TIS were exposed to a neutral and a trauma-related memory script. Three psychobiological parameters were tested: subjective ratings (emotional and sensori-motor), cardiovascular responses (heart rate, blood pressure, heart rate variability) and regional cerebral blood flow as determined with H(2)(15)O positron emission tomography. Psychobiological differences were found for the different DIS. Subjective and cardiovascular reactions revealed significant main and interactions effects. Regional cerebral blood flow data revealed different neural networks to be associated with different processing of the neutral and trauma-related memory script by NIS and TIS. Patients with DID encompass at least two different DIS. These identities involve different subjective reactions, cardiovascular responses and cerebral activation patterns to a trauma-related memory script.

Neurocircuitry of disgust and anxiety in obsessive-compulsive disorder: A positron emission tomography study

Disgust and fear are basic emotions that have different elicitors and expressions, and that appear to be mediated by different neurocircuits. Although obsessive-compulsive disorder (OCD) is classified as an anxiety disorder, disgust may be involved in its pathogenesis. Functional magnetic resonance imaging (fMRI) studies of disgust-inducing visual stimuli in OCD have suggested disorder specific alterations in brain activation during these tasks. Subjects with OCD and healthy controls (HC) underwent positron emission tomography (PET) brain scanning after injection of H(2) (15)O. During PET, subjects either watched slides designed to evoke feelings of disgust (OCD = 5, HC = 11), expected the delivery of an electrical shock (OCD = 11, HC = 13), or rested (OCD = 11, HC = 14). After the anticipatory anxiety and resting tasks, anxiety ratings, heart rate, and electrodermal measures were obtained. Statistical parametric mapping (SPM) was used to analyze regional cerebral blood flow (rCBF) data. Comparison of OCD subjects with controls on differences in rCBF across the disgust-inducing and resting tasks showed that OCD was characterized by greater rCBF in the left insula. In OCD the disgust-inducing task increased right lateral orbitofrontal cortex rCBF compared to resting, whereas in controls there was no difference in rCBF between these tasks. Anxiety ratings, heart rate, and electrodermal activity increased during anticipatory anxiety in both groups, and comparison of rCBF in OCD subjects with controls in anticipatory anxiety versus resting state also found no significant differences. OCD may be characterized by a disruption in disgust processing, such that there is a decrease in appropriate disgust (such as that evoked by observing disgust in others) and an increase in inappropriate disgust (such as that evoked by contamination stimuli). The insula may play a particularly important role in mediating such putative disruptions. The sample studied here was small, and further work is required to determine whether disgust-induced activation patterns in OCD are more apparent in specific subtypes of this disorder, whether they are specific to OCD, and whether they are normalized by treatment.

Sex-related differences in amygdala functional connectivity during resting conditions

Recent neuroimaging studies have established a sex-related hemispheric lateralization of amygdala involvement in memory for emotionally arousing material. Here, we examine the possibility that sex-related differences in amygdala involvement in memory for emotional material develop from differential patterns of amygdala functional connectivity evident in the resting brain. Seed voxel partial least square analyses of regional cerebral blood flow data revealed significant sex-related differences in amygdala functional connectivity during resting conditions. The right amygdala was associated with greater functional connectivity in men than in women. In contrast, the left amygdala was associated with greater functional connectivity in women than in men. Furthermore, the regions displaying stronger functional connectivity with the right amygdala in males (sensorimotor cortex, striatum, pulvinar) differed from those displaying stronger functional connectivity with the left amygdala in females (subgenual cortex, hypothalamus). These differences in functional connectivity at rest may link to sex-related differences in medical and psychiatric disorders.

Measurement of absolute values of hemoglobin oxygenation in the brain of small rodents by near infrared reflection spectrophotometry

Reflection near infrared spectroscopy (reNIRS) has been proposed as a novel technique for the measurement of absolute values of total hemoglobin (tHb), oxygenated hemoglobin (oxHb), hemoglobin saturation (SO 2), and cytochrome aa 3 oxidation status (oxCyt aa 3) in living tissue. In this study, we evaluated reNIRS during physiological cerebral blood flow conditions in rats ( n=6) and during the induction of global cerebral ischemia in gerbils ( n=6). ReNIRS parameters were assessed over the exposed cerebral cortex and compared to regional cerebral blood flow (rCBF) data obtained by laser Doppler flowmetry. Under physiological conditions, reNIRS measurements reflected the large intra- and interindividual variability of oxHb and tHb in the brain. The absolute values obtained by reNIRS for tHb (6.3±1.7 mg/ml), oxHb (3.7±1.1 mg/ml), and SO 2 (61±5%) matched expected values. In contrast, measurements of oxCyt aa 3 were unstable and results unreliable. reNIRS reliably detected cerebral ischemia, verified by a reduction of rCBF to 11% of baseline. tHb dropped to 74±7% of baseline ( P<0.001), reflecting ischemic microvascular vasoconstriction. oxHb and SO 2 dropped to expected near-zero values (2±4 and 3±5% of baseline, respectively; P<0.001). We conclude that reNIRS provides reliable and reproducible absolute values for brain tissue tHb, oxHb, and SO 2 in small rodents. Determination of physiological values requires measurements at multiple locations, while cerebral ischemia is reliably detected by continuous recordings at a single location.

Simulating Transcranial Magnetic Stimulation during PET with a Large-Scale Neural Network Model of the Prefrontal Cortex and the Visual System

Transcranial magnetic stimulation (TMS) exerts both excitatory and inhibitory effects on the stimulated neural tissue, although little is known about the neurobiological mechanisms by which it influences neuronal function. TMS has been used in conjunction with PET to examine interregional connectivity of human cerebral cortex. To help understand how TMS affects neuronal function, and how these effects are manifested during functional brain imaging, we simulated the effects of TMS on a large-scale neurobiologically realistic computational model consisting of multiple, interconnected regions that performs a visual delayed-match-to-sample task. The simulated electrical activities in each region of the model are similar to those found in single-cell monkey data, and the simulated integrated summed synaptic activities match regional cerebral blood flow (rCBF) data obtained in human PET studies. In the present simulations, the excitatory and inhibitory effects of TMS on both locally stimulated and distal sites were studied using simulated behavioral measures and simulated PET rCBF results. The application of TMS to either excitatory or inhibitory units of the model, or both, resulted in an increased number of errors in the task performed by the model. In experimental studies, both increases and decreases in rCBF following TMS have been observed. In the model, increasing TMS intensity caused an increase in rCBF when TMS exerted a predominantly excitatory effect, whereas decreased rCBF following TMS occurred if TMS exerted a predominantly inhibitory effect. We also found that regions both directly and indirectly connected to the stimulating site were affected by TMS.

The neuroanatomical substrate of sound duration discrimination

We investigated the neuroanatomical substrate of sound duration discrimination, using the same experimental design as in a previous study on sound intensity discrimination [J. Neurosci. 18 (16) (1998) 6388]. Seven normal subjects were trained to detect deviant sounds presented with a slightly longer duration than a 300 ms long standard harmonic sound, using a Go/No Go paradigm. Individual psychometric curves were assessed using a three-step psychoacoustic procedure. Subjects were then scanned while passively listening to the standard sound, and while discriminating changes in sound duration at four different performance levels ( d′=1.5, 2.5, 3.5 and 4.5). Analysis of regional cerebral blood flow (rCBF) data outlined activation, during the discrimination conditions, of a right hemispheric fronto-parietal network very similar to the one previously observed for intensity discrimination, as well as additional activation in the right prefrontal cortex (Brodmann Area (BA) 10), bilateral basal ganglia and cerebellar hemispheres. These findings suggest that discrimination of sound duration, as for discrimination of sound intensity, involves two cerebral networks: a supramodal right fronto-parietal cortical network responsible for allocation of sensory attentional resources, and a network of regions such as the basal ganglia, cerebellum, and right prefrontal cortex, more specifically involved in the temporal aspects of the discrimination task.

Probing the human hippocampus using rCBF: contrasts in schizophrenia.

Regional cerebral blood flow (rCBF) data from two PET-15O water schizophrenia studies were analyzed using individually placed, magnetic resonance (MR)-guided hippocampal volumes of interest (VOI). In one study, normal (N = 10) and schizophrenic (N = 18) volunteers performed an overlearned auditory discrimination task in rest, control, and decision conditions. In the other study, schizophrenic and normal volunteers received the noncompetitive NMDA receptor antagonist ketamine and placebo and had sequential rCBF evaluations. Moreover, the schizophrenic volunteers were off drug in one study and on antipsychotic drug in the second study, allowing an additional comparison of medication status. VOIs were placed on anterior, middle, and posterior hippocampal areas in each PET image from both studies, redirected from an MR scan, and individually adjusted. While no hippocampal activation was apparent in either the normal or schizophrenic group in the task vs. condition comparison, rCBF was higher in the schizophrenic than in the normal hippocampus in both task and control conditions, independently. In addition, at rest rCBF was significantly higher in the unmedicated group of schizophrenics than in the group of medicated patient volunteers and higher than in the normal comparison group. This suggests that schizophrenia is associated with elevated rCBF in the hippocampus, which "normalizes" with antipsychotic drug treatment. Ketamine, the noncompetitive NMDA receptor antagonist, was more potent in reducing rCBF in the schizophrenic group compared to the normal volunteer group. These data are consistent with a previous report from our laboratory of reduced NMDA receptor NR1 subunit expression and possible abnormal NMDA receptor composition in schizophrenia. These data show an abnormality of hippocampal function in schizophrenia and suggest that this abnormality may be associated with the pathophysiology of the illness.

Neural networks: neural systems III.

Back to table of contents Previous article Next article Images in NeuroscienceFull AccessNeural NetworksNeural Systems IIIDeborah R. Medoff, PH.D., and M-A. Tagamets, PH.D., Deborah R. MedoffSearch for more papers by this author, PH.D., and M-A. TagametsSearch for more papers by this author, PH.D., Baltimore, Md.Published Online:1 Oct 2000https://doi.org/10.1176/appi.ajp.157.10.1571AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinked InEmail Advances in human brain imaging methods have provided a remarkable opportunity for studying the neural basis of human brain function. Usually the goal of these studies is the localization of specific task components to defined brain areas. More recent efforts have attempted to identify functional neural networks in the central nervous system. Still, with either approach, there exists the question of how regional cerebral blood flow (rCBF) data reflect underlying neuronal events such as those measured by electrophysiological recording (e.g., cell firing), since imaging data are an indirect measure of neuronal activity. It is generally thought that rCBF mainly reflects synaptic activity rather than neuronal firing per se. Synaptic activity can lead to an increase in both rCBF and brain oxidative metabolism, whether that activity results in inhibition or excitation. Therefore, both excitatory and inhibitory synaptic activity may increase rCBF even if the inhibition causes a decrease in overall local or distant neuronal firing rates.We have used computational modeling to examine factors that potentially play a role in the relationship between neuronal events and the signals measured in human imaging experiments. The goal of computational modeling is to develop a biologically plausible mathematical model that can simulate human behavior in simple behavioral tasks. Consistently, experimental studies indicate that there is a close correlation between neuronal excitation and functional imaging measures such as rCBF. Human imaging studies, like the functional magnetic resonance imaging (MRI) activation map of visual discrimination seen in part A of the figure above, can be simulated by presenting a series of stimuli to a model network (seen in part B of the figure) and spatially and temporally summing the synaptic activity of the model. The parameters of the model are chosen to represent a basic element such as a cortical column. Groups of basic elements are then combined into local regions, and finally interconnecting regions create the full network. The summation of the synaptic activity across the model should match the functional MRI map if the neuronal model of the behavior is correct. The model can then be “lesioned” to characterize a pathological process, and the resulting changes in the behavior of the network can be observed and compared to functional images that reflect the same pathological process.Address reprint requests to Dr. Tamminga, Maryland Psychiatric Research Center, University of Maryland, P.O. Box 21247, Baltimore, MD 21228. Image is courtesy of Dr. Medoff. figureOn the left (part A), a functional MRI activation map depicts a single individual performing a visual recognition task. On the right (part B) is the computational model representation of the local circuit involved in the task. Arrows depict excitatory synaptic activity; inhibitory synaptic activity is depicted by an open circle. The connection weights of the basic circuit are based on experimental data: 60% of all connections are local and excitatory-to-excitatory, 15% are local and excitatory-to-inhibitory, 15% are local and inhibitory-to-excitatory, and the remaining 10% are from other areas. FiguresReferencesCited byDetailsCited ByNone Volume 157Issue 10 October 2000Pages 1571-1571 Metrics PDF download History Published online 1 October 2000 Published in print 1 October 2000

The Functional Anatomy of Sound Intensity Discrimination

The human neuroanatomical substrate of sound intensity discrimination was investigated by combining psychoacoustics and functional neuroimaging. Seven normal subjects were trained to detect deviant sounds presented with a slightly higher intensity than a standard harmonic sound, using a Go/No Go paradigm. Individual psychometric curves were carefully assessed using a three-step psychoacoustic procedure. Subjects were scanned while passively listening to the standard sound and while discriminating changes in sound intensity at four different performance levels (d' = 1.5, 2.5, 3.5, and 4.5). Analysis of regional cerebral blood flow data outlined activation, during the discrimination conditions, of a right hemispheric frontoparietal network already reported in other studies of selective or sustained attention to sensory input, and in which activity appeared inversely proportional to intensity discriminability. Conversely, a right posterior temporal region included in secondary auditory cortex was activated during discrimination of sound intensity independently of performance level. These findings suggest that discrimination of sound intensity involves two different cortical networks: a supramodal right frontoparietal network responsible for allocation of sensory attentional resources, and a region of secondary auditory cortex specifically involved in sensory computation of sound intensity differences.

Network Analysis of Positron Emission Tomography Regional Cerebral Blood Flow Data: Ensemble Inhibition during Episodic Memory Retrieval

Two important objectives in the neuroscience of memory are (1) identification of neural pathways involved in memory processes; and (2) characterization of the pattern of interactions between these pathways. Functional neuroimaging can contribute to both of these goals. Using image subtraction analysis of regional cerebral blood flow data measured with positron emission tomography, we identified brain regions that changed activity during episodic memory retrieval (visual work recognition). Relative to a baseline reading task, decreased activity was observed in bilateral prefrontal, bilateral anterior and posterior temporal, and posterior cingulate cortices. Brain regions showing increased activity were the right prefrontal (different from deactivated regions), left anterior cingulate, and left occipital cortices, and vermis of cerebellum. We then performed a network analysis with structural equation modeling to test the hypothesis that regional decreases came about through active inhibition by regions showing increased activity during retrieval. This analysis demonstrated that the influence of activated regions on deactivated regions was more negative during retrieval than during reading, confirming the inhibition hypothesis. Such confirmation could not have been made from the subtraction analysis alone because decreases can come about, at the very least, through reduction of functional influences as well as by active inhibition. The concepts of ensemble excitation and inhibition, as defined through network analysis, are introduced. We argue that is is critical to examine the combined pattern of excitatory and inhibitory influences to fully appreciate the neural basis of episodic memory.

Isolating the Mnemonic Component in Spatial Delayed Response: A Controlled PET15O-Labeled Water Regional Cerebral Blood Flow Study in Normal Humans

In this study we attempted to elucidate the neural network involved in maintaining spatial information over short delays by means of the PET15O-labeled water method for measuring regional cerebral blood flow. To isolate the mnemonic component of delayed response processing we designed a control task isomorphic to the experimental task (in which the subject remembered the location of four targets in an array over a 7 s delay) and controlled for spatial encoding. Fourteen normal subjects participated in the study. Regional cerebral blood flow (rCBF) data were analyzed using statistical parametric mapping, a data-driven approach which canvasses the whole brain for significantly activated pixels in the experimental vis-à-vis the control task, and a hypothesis driven region of interest approach involving comparisons of control and experimental conditions using normalized rCBF data. We found convergent evidence for a spatially distinct but functionally related network in which dorsolateral prefrontal cortex and extrastriate occipital cortex were activated by the experimental task vis-à-vis the control task, as well as evidence for superior parietal and supplementary motor area cortical activation. These findings suggest that anterior components of the network may be involved in mnemonic rehearsal functions, while posterior components may store critical perceptual attributes of the memoranda.

Within‐subject transformations of PET regional cerebral blood flow data: ANCOVA, ratio, and Z‐score adjustments on empirical data

Within‐subject transformations of PET regional cerebral blood flow data: ANCOVA, ratio, and Z‐score adjustments on empirical data

Within-subject transformations of PET regional cerebral blood flow data: ANCOVA, ratio, and Z-score adjustments on empirical data

In the statistical analysis of PET rCBF data, it has become routine to use a mathematical transformation to reduce individual differences in global metabolic rate and increase the power of statistical tests. Two methods of adjustment have been proposed: the ratio adjustment, dividing rCBF for a brain region by the whole-brain average CBF, and the ANCOVA adjustment based on a regression model. We compared these two transformations on the empirically derived PET data sets to assess which of these transforms worked best. Within-subject Z-scores were also considered as an additional transformation technique. Comparisons between the three transform techniques, and the untransformed raw data, were made on the detected significant differences, the size of the statistical effects, and the relative reduction in error variance. Two data sets were considered: 1) a visual perception study comparing object and spatial vision; 2) a data set from a parametric visual working memory study. There was no striking difference in the detected significant differences between any of the three transformed data sets and all transformed data sets detected more differences than the raw data set. There was little difference between the transformed data sets in terms of effect sizes, with the Z-score data set showing slightly lower total error variance that either the ratio-adjusted or ANCOVA-adjusted data sets. It was concluded that PET data sets should be closely examined for task-related changes in global CBF and subject heterogeneities (outliers) since these factors will influence the outcome of image-based statistical comparison more than the particular data transformation.