scholarly journals Fast Independent Component Analysis Algorithm-Based Functional Magnetic Resonance Imaging in the Diagnosis of Changes in Brain Functional Areas of Cerebral Infarction

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Naiyi Du ◽  
Zhao Zhang ◽  
Yao Xiao ◽  
Lijie Jiang
Keyword(s):  
Blood Flow ◽  
Cerebral Blood Flow ◽  
Cerebral Infarction ◽  
Control Group ◽  
Observation Group ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Ica Algorithm ◽  
Functional Areas ◽  
Experimental Group

The aim of this study was to analyze the application value of functional magnetic resonance imaging (FMRI) optimized by the fast independent component correlation algorithm (ICA algorithm) in the diagnosis of brain functional areas in patients with lumbar disc herniation (LDH). An optimized fast ICA algorithm was established based on the ICA algorithm. 50 patients with cerebral infarction were selected as the research objects, and 30 healthy people were selected as the control group. The 50 patients from the observation group were examined by fMRI based on Fast ICA algorithm, while the control group was tested by fMRI based on the routine ICA algorithm. The performances of the two algorithms, the analysis results of the two groups of brain functional areas, cerebral blood flow (CBF), resting state functional connectivity (rsFC), behavioral data, and image data correlation of patients were compared. The results showed that the sensitivity, specificity, and accuracy of Fast ICA algorithm were 97.83%, 89.52%, and 96.27%, respectively, which in the experimental group were greatly better than the control group (88.73%, 72.19%, and 89.72%), showing statistically significant differences ( P < 0.05 ). The maximum Dice coefficient of FAST ICA algorithm was 0.967, and FAST ICA algorithm was better obviously than the traditional ICA algorithm ( P < 0.05 ). The cerebral blood flow of the healthy superior frontal gyrus (SFG) and healthy superior marginal gyrus (SMG) of the observation group with good motor function recovery were 1.02 ± 0.22 and 1.53 ± 0.61, respectively; both indicators showed an increasing trend, and those in the experimental group were much higher in contrast to the control group, showing statistically obvious differences ( P < 0.05 ). Besides, the detection results of cerebral blood flow (CBF) in the healthy SFG and healthy SMG were negatively correlated with the results of connection test B. In summary, the fMRI based on the Fast ICA algorithm showed a good diagnostic effect in the changes of brain functional areas in patients with cerebral infarction. The experimental results showed that the cerebral blood flow in the brain area was related to motor or cognitive function. The results of this study provided a reliable reference for the examination and diagnosis of brain functional areas in patients with cerebral infarction.

scholarly journals Image Features of Resting-State Functional Magnetic Resonance Imaging in Evaluating Poor Emotion and Sleep Quality in Patients with Chronic Pain under Artificial Intelligence Algorithm

2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
Shuqin Yang ◽  
Xiaoyan Bie ◽  
Yanmei Wang ◽  
Junnan Li ◽  
Yujing Wang ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Chronic Pain ◽  
Sleep Quality ◽  
Resting State ◽  
Brain Function ◽  
Control Group ◽  
Observation Group ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
The Brain

The balanced iterative reducing and clustering using hierarchies (BIRCH) method was adopted to optimize the results of the resting-state functional magnetic resonance imaging (RS-fMRI) to analyze the changes in the brain function of patients with chronic pain accompanied by poor emotion or abnormal sleep quality in this study, so as to provide data support for the prevention and treatment of clinical chronic pain with poor emotion or sleep quality. 159 patients with chronic pain who visited the hospital were selected as the research objects, and they were grouped according to the presence or absence of abnormalities in emotion and sleep. The patients without poor emotion and sleep quality were set as the control group (60 cases), and the patients with the above symptoms were defined in the observation group (90 cases). The brain function was detected by RS-fMRI technology based on the BIRCH algorithm. The results showed that the rand index (RI), adjustment of RI (ARI), and Fowlkes–Mallows index (FMI) results in the k-means, flow cytometry (FCM), and BIRCH algorithms were 0.82, 0.71, and 0.88, respectively. The scores of Hamilton Depression Scale (HAHD), Hamilton Anxiety Scale (HAMA), and Pittsburgh Sleep Quality Index (PSQI) were 7.26 ± 3.95, 7.94 ± 3.15, and 8.03 ± 4.67 in the observation group and 4.03 ± 1.95, 5.13 ± 2.35, and 4.43 ± 2.07 in the control group; the higher proportion of RS-fMRI was with abnormal brain signal connections. A score of 7 or more meant that the number of brain abnormalities was more than 90% and that of less than 7 was less than 40%, showing a statistically obvious difference in contrast P < 0.05 . Therefore, the BIRCH clustering algorithm showed reliable value in the optimization of RS-fMRI images, and RS-fMRI showed high application value in evaluating the emotion and sleep quality of patients with chronic pain.

Frequency-Dependent Changes of Regional Cerebral Blood Flow during Finger Movements: Functional MRI Compared to PET

1997 ◽  
Vol 17 (6) ◽  
pp. 670-679 ◽  
Author(s):  
Norihiro Sadato ◽  
Vicente Ibañez ◽  
Gregory Campbell ◽  
Marie-Pierre Deiber ◽  
Denis Le Bihan ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Blood Flow ◽  
Cerebral Blood Flow ◽  
Signal Intensity ◽  
Regional Cerebral Blood Flow ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Regional Cerebral Blood ◽  
Percent Change ◽  
Primary Sensorimotor Cortex

To evaluate the effect of the repetition rate of a simple movement on the magnitude of neuronal recruitment in the primary sensorimotor cortex, we used a blood flow-sensitive, echo planar functional magnetic resonance imaging (fMRI) sequence in six normal volunteers. Three of the volunteers also had [15O]water positron emission tomography (PET) studies using the same paradigm. Previous PET studies had shown an increase in regional CBF (rCBF) with movement frequencies up to 2 Hz and then a plateau of regional cerebral blood flow (rCBF) at faster frequencies. To evaluate the extent of the activation, the correlation coefficient (cc) of the Fourier-transformed time-signal intensity change with the Fourier-transformed reference function was calculated pixel by pixel. The degree of activation was measured as the signal percent change of each region of interest with a cc > 0.5. The left primary sensorimotor cortex was constantly activated at 1, 1.5, 2, and 4 Hz, while there was only inconsistent activation at 0.25 and 0.5 Hz. Percent change in signal intensity linearly increased from 1 to 4 Hz. Area of activation increased up to 2 Hz and showed a tendency to decrease at higher frequencies. Individual analysis of PET data showed activation in the same location as that revealed by fMRI. The combination of progressively increasing signal intensity with an area that increases to 2 Hz and declines at faster frequencies explains the PET finding of plateau of rCBF at the faster frequencies. Functional magnetic resonance imaging shows similar results to PET, but is better able to dissociate area and magnitude of change.

The Effect of Esmolol on Cerebral Blood Flow, Cerebral Vasoreactivity, and Cognitive Performance: A Functional Magnetic Resonance Imaging Study

2005 ◽  
Vol 102 (1) ◽  
pp. 41-50 ◽  
Author(s):  
Wolfgang Heinke ◽  
Stefan Zysset ◽  
Margret Hund-Georgiadis ◽  
Derk Olthoff ◽  
D Yves von Cramon
Keyword(s):  
Magnetic Resonance Imaging ◽  
Blood Flow ◽  
Cerebral Blood Flow ◽  
Functional Magnetic Resonance Imaging ◽  
Blood Oxygenation Level Dependent ◽  
Blood Oxygenation ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Blood Oxygenation Level ◽  
Oxygenation Level

Background Esmolol is often applied perioperatively to maintain stable hemodynamic conditions in neurosurgical patients. Little is known, however, about its effects on cerebral circulation. The authors employed functional magnetic resonance imaging based on blood oxygenation level-dependent contrast to explore the effect of esmolol on the human brain. The purpose of the study was to investigate the effect of esmolol on cerebral blood flow, cerebral vasoreactivity, and cognitive performance. Methods Ten healthy volunteers were investigated in two separate experimental sessions using functional magnetic resonance imaging. During the first experimental session, a hyperventilation task and a cognitive task, subjects had to perform both tasks twice, once after administration of an esmolol bolus of 1 mg/kg followed by a continuous infusion of 150 microg.kg.min and once without beta-blockade, in a random order. During the second experimental session subjects were scanned at resting state after administration of esmolol. Furthermore, the effect of the esmolol dose on hemodynamic changes caused by beta-adrenergic stimulation with orciprenaline was investigated. Results Esmolol decreased heart rate and blood pressure during the various experimental conditions and blunted the increase in heart rate and blood pressure caused by orciprenaline. Infusion of esmolol affects neither the blood oxygenation level-dependent contrast during the functional challenges nor the reaction times during the cognitive task. However, the esmolol bolus caused a brief blood oxygenation level-dependent contrast increase. Conclusion The results indicate that effective beta-blockade with esmolol does not affect cerebral blood flow, cerebrovascular reactivity, or cognitive performance.

Functional magnetic resonance imaging

2012 ◽  
pp. 196-201 ◽  
Author(s):  
E. T. Bullmore ◽  
J. Suckling
Keyword(s):  
Magnetic Resonance Imaging ◽  
Blood Flow ◽  
Cerebral Blood Flow ◽  
Magnetic Resonance ◽  
Functional Magnetic Resonance Imaging ◽  
Visual Stimulation ◽  
Single Photon ◽  
Photon Emission ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging

Functional magnetic resonance imaging (fMRI) is a relatively new technique for measuring changes in cerebral blood flow. The first fMRI studies, showing functional activation of the occipital cortex by visual stimulation and activation of the motor cortex by finger movement, were published in the early 1990s. In the years since then, fMRI has been used to investigate the physiological response to a wide variety of experimental procedures in both normal human subjects and diverse patient groups. In the next 10 years, fMRI will probably establish a role for itself in radiological and psychiatric practice; currently the clinical role of fMRI is limited to specialized applications such as assessment of hemispheric dominance prior to neurosurgery. The outstanding advantage of fMRI over alternative methods of imaging cerebral blood flow, such as positron emission tomo-graphy (PET) and single-photon emission computed tomography (SPECT), is that it does not involve exposure to radioactivity. This means that a single subject can safely be examined by fMRI on many occasions, and that the ethical problems of examining patients are minimized. Functional MRI also has superior spatial resolution (in the order of millimetres) and temporal resolution (in the order of seconds) compared with PET and SPECT. In this chapter, we provide an introduction to technical issues relevant to fMRI data acquisition, study design, and analysis. An introduction to the basic physical principles of magnetization and nuclear magnetic resonance, and the technology, is given in Chapter 2.3.7. Many excellent specialist texts covering all aspects of functional magnetic resonance imaging are available for the reader seeking more detailed treatment of the issues.

scholarly journals Quantitative Functional Magnetic Resonance Imaging of Brain Activity Using Bolus-Tracking Arterial Spin Labeling

2010 ◽  
Vol 30 (5) ◽  
pp. 913-922 ◽  
Author(s):  
Michael E Kelly ◽  
Christoph W Blau ◽  
Karen M Griffin ◽  
Oliviero L Gobbo ◽  
James FX Jones ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Blood Flow ◽  
Cerebral Blood Flow ◽  
Resting State ◽  
Arterial Spin Labeling ◽  
Cerebral Blood Volume ◽  
Spin Labeling ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Perfusion Coefficient

Blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) is the most widely used method for mapping neural activity in the brain. The interpretation of altered BOLD signals is problematic when cerebral blood flow (CBF) or cerebral blood volume change because of aging and/or neurodegenerative diseases. In this study, a recently developed quantitative arterial spin labeling (ASL) approach, bolus-tracking ASL (btASL), was applied to an fMRI experiment in the rat brain. The mean transit time (MTT), capillary transit time (CTT), relative cerebral blood volume of labeled water (rCBVlw), relative cerebral blood flow (rCBF), and perfusion coefficient in the forelimb region of the somatosensory cortex were quantified during neuronal activation and in the resting state. The average MTT and CTT were 1.939±0.175 and 1.606±0.106 secs, respectively, in the resting state. Both times decreased significantly to 1.616±0.207 and 1.305±0.201 secs, respectively, during activation. The rCBVlw, rCBF, and perfusion coefficient increased on average by a factor of 1.123±0.006, 1.353±0.078, and 1.479±0.148, respectively, during activation. In contrast to BOLD techniques, btASL yields physiologically relevant indices of the functional hyperemia that accompanies neuronal activation.

Hypothermic cerebral reperfusion and recovery from ischemia

1991 ◽  
Vol 261 (3) ◽  
pp. H774-H781 ◽  
Author(s):  
W. A. Baldwin ◽  
J. R. Kirsch ◽  
P. D. Hurn ◽  
W. S. Toung ◽  
R. J. Traystman
Keyword(s):  
Blood Flow ◽  
Cerebral Blood Flow ◽  
Oxygen Consumption ◽  
Cerebral Ischemia ◽  
Control Group ◽  
Experimental Animals ◽  
Anesthetized Dogs ◽  
Group Recovery ◽  
Cerebral Reperfusion ◽  
Experimental Group

The effect of transient postischemic hypothermia (30 degrees C) on recovery of cerebral blood flow (CBF), oxygen consumption (CMRO2) and somatosensory-evoked potentials (SEPs) was determined in anesthetized dogs. Ischemia was produced for 20 min by intracranial pressure (ICP) elevation while core temperature was lowered by cooling externalized blood. Epidural temperature was controlled at 37.6 +/- 0.2 degrees C during ischemia, lowered to 30.0 +/- 0.1 degrees C during the first hour of reperfusion, and then rewarmed to 38.0 +/- 0.1 degrees C in experimental dogs (n = 8) and maintained at 38.0 +/- 0.1 degrees C in control dogs (n = 8). ICP was lower throughout reperfusion in experimental as compared with control animals. By 240 min of reperfusion, CBF was approximately 70% of control in both groups. CMRO2 was 60% of preischemic values in control animals and 74% in experimental animals (P = 0.077). A persistent uncoupling of CBF and CMRO2 was observed throughout reperfusion only in the control group. Recovery of SEP amplitude was significantly improved in the experimental group (26 vs. 11% of preischemic values). These data suggest that transient hypothermia reduces ICP and facilitates recovery of electrophysiological function after cerebral ischemia.

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