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.

scholarly journals Resting-state functional magnetic resonance imaging of high altitude patients with obstructive sleep apnoea hypopnoea syndrome

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Zongyuan Qin ◽  
Dongjie Kang ◽  
Xiang Feng ◽  
Demin Kong ◽  
Fangfang Wang ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
High Altitude ◽  
Resting State ◽  
Brain Function ◽  
Sleep Apnoea ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Obstructive Sleep ◽  
The Brain

Abstract The objective of the study was to observe brain function changes in Obstructive Sleep Apnoea Hypopnoea Syndrome (OSAHS) patients at high altitude. Resting-state functional magnetic resonance imaging (rs-fMRI) in patients with OSAHS was assessed using regional homogeneity (ReHo), amplitude of low frequency fluctuation (ALFF) and functional connectivity (FC). In this study, 36 male patients with OSAHS and 38 healthy male subjects were recruited from high-altitude areas, specifically, altitudes of 2,000–3,000 m. OSAHS was diagnosed by polysomnography (PSG). The blood oxygen level-dependent (BOLD) signals of OSAHS patients and healthy controls in the resting state were obtained and compared using ReHo, ALFF and FC methods. The posterior cingulate cortex (PCC) was selected as the seed region in the comparison of FC between the two groups. Compared with the healthy control group, multiple brain functions in the OSAHS patient group were different. There were correlations between the brain function values of some brain regions and demographic data. We also found that in contrast to earlier findings with individuals in plains areas, the brain function at the frontal lobe and the precuneus were higher in OSAHS patients, and the PCC showed higher FC with the left caudate, which may be due to the high-altitude hypoxic environment.

Resting state functional magnetic resonance imaging processing techniques in stroke studies

2016 ◽  
Vol 27 (8) ◽  
pp. 871-885 ◽  
Author(s):  
Golrokh Mirzaei ◽  
Hojjat Adeli
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Functional Magnetic Resonance Imaging ◽  
Resting State ◽  
Brain Connectivity ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Stroke Patients ◽  
Processing Techniques ◽  
The Brain

AbstractIn recent years, there has been considerable research interest in the study of brain connectivity using the resting state functional magnetic resonance imaging (rsfMRI). Studies have explored the brain networks and connection between different brain regions. These studies have revealed interesting new findings about the brain mapping as well as important new insights in the overall organization of functional communication in the brain network. In this paper, after a general discussion of brain networks and connectivity imaging, the brain connectivity and resting state networks are described with a focus on rsfMRI imaging in stroke studies. Then, techniques for preprocessing of the rsfMRI for stroke patients are reviewed, followed by brain connectivity processing techniques. Recent research on brain connectivity using rsfMRI is reviewed with an emphasis on stroke studies. The authors hope this paper generates further interest in this emerging area of computational neuroscience with potential applications in rehabilitation of stroke patients.

scholarly journals Brain Functional Magnetic Resonance Imaging Highlights Altered Connections and Functional Networks in Patients With Hypertension

Hypertension ◽  
2020 ◽  
Vol 76 (5) ◽  
pp. 1480-1490 ◽  
Author(s):  
Lorenzo Carnevale ◽  
Angelo Maffei ◽  
Alessandro Landolfi ◽  
Giovanni Grillea ◽  
Daniela Carnevale ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Functional Magnetic Resonance Imaging ◽  
Resting State ◽  
Diffusion Tensor ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Attention Network ◽  
Dorsal Attention Network ◽  
The Brain

Hypertension is one of the main risk factors for vascular dementia and Alzheimer disease. To predict the onset of these diseases, it is necessary to develop tools to detect the early effects of vascular risk factors on the brain. Resting-state functional magnetic resonance imaging can investigate how the brain modulates its resting activity and analyze how hypertension impacts cerebral function. Here, we used resting-state functional magnetic resonance imaging to explore brain functional-hemodynamic coupling across different regions and their connectivity in patients with hypertension, as compared to subjects with normotension. In addition, we leveraged multimodal imaging to identify the signature of hypertension injury on the brain. Our study included 37 subjects (18 normotensives and 19 hypertensives), characterized by microstructural integrity by diffusion tensor imaging and cognitive profile, who were subjected to resting-state functional magnetic resonance imaging analysis. We mapped brain functional connectivity networks and evaluated the connectivity differences among regions, identifying the altered connections in patients with hypertension compared with subjects with normotension in the (1) dorsal attention network and sensorimotor network; (2) dorsal attention network and visual network; (3) dorsal attention network and frontoparietal network. Then we tested how diffusion tensor imaging fractional anisotropy of superior longitudinal fasciculus correlates with the connections between dorsal attention network and default mode network and Montreal Cognitive Assessment scores with a widespread network of functional connections. Finally, based on our correlation analysis, we applied a feature selection to highlight those most relevant to describing brain injury in patients with hypertension. Our multimodal imaging data showed that hypertensive brains present a network of functional connectivity alterations that correlate with cognitive dysfunction and microstructural integrity. Registration— URL: https://www.clinicaltrials.gov ; Unique identifier: NCT02310217.

scholarly journals Functional magnetic resonance imaging tomography in assessing the functional state of the brain in patients with opioid addiction

2018 ◽  
Vol 20 (3) ◽  
pp. 72-79
Author(s):  
D A Tarumov ◽  
Sh K Abdulaev ◽  
A G Trufanov ◽  
V L Ushakov ◽  
V K Shamrey ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Functional Magnetic Resonance Imaging ◽  
Opioid Dependence ◽  
Control Group ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Passive Mode ◽  
Functional Connections ◽  
The Brain

The possibilities of functional magnetic resonance imaging in the diagnosis of opioid dependence syndrome are considered. It is known that opioid addiction is one of the leading problems of modern narcology. Despite the fact that the number of researches of the neurobiological effects of opioids is increasing every year, the pathogenetic effects of dependence on this narcotic substance are still not fully understood. Functional magnetic resonance imaging rest allows one to assess the functional connectivity of the remote from each other parts of the brain and makes a great contribution to understanding the mechanisms of development of addictive disorders in general. In patients with opioid dependence, an analysis was made of the neural network of the passive mode of the brain (default mode network). This resting network is associated with the processes of control and thinking, including emotional and cognitive components, and consists of medial frontal regions, posterior cingulate sections, precuneus, lower parietal and temporal divisions. It was found that, in comparison with the control group, in all patients suffering from opioid dependence, weakened functional connections of all structures of the cerebro-spinal cord system (p0,05). In this case, changes in the medial prefrontal cortex and precuneus are more pronounced in patients who are in the state of opioid intoxication, and in the parietal-temporal regions in patients who are in a state of remission up to 1 month. The correlation of cortical structures responsible for the «behavior control» system (orbitofrontal cortex, prefrontal cortex) with subcortical structures responsible for emotions in the limbic system was also evaluated. In comparison with the control group, in patients with early remission, weakened functional connections between cortical structures and left contiguous nucleus, almond-shaped body from two sides. In patients in a state of intoxication in addition to these changes, the functional relationship between the orbital frontal cortex and the shell on the left has been weakened. The weakening of functional links in the network of the passive mode of the brain in the groups of drug addicts suggests that they have violated the processes of control, thinking and making the right decision. The resulting functional changes can form the basis for creating biomarker maps for patients suffering from opioid dependence, which can be used to guide and evaluate the treatment of this pathology.

scholarly journals Acupuncture for patients with insomnia disorder protocol for a resting-state functional magnetic resonance imaging study

2019 ◽  
Author(s):  
Jing Guo ◽  
Siyi Yu ◽  
Chunhong Liu ◽  
Guiling Wang ◽  
Bin li
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Functional Magnetic Resonance Imaging ◽  
Sleep Quality ◽  
Resting State ◽  
Acupuncture Group ◽  
Secondary Outcome ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Insomnia Disorder

Abstract Background Insomnia is among the most prevalent sleep-related disorders. Previous researches suggest insomnia disorder is associated with brain hyperarousal state manifested as abnormal regional brain activity and resting-state functional connectivity (rs-FC). Acupuncture is considered to be beneficial to improve sleep quality and modulate hyperarousal state. Its underlying neurobiological bases remain poorly understood. The purpose of the trial is to investigate the effectiveness and potential neural mechanism in acupuncture treatment for insomnia disorder using neuropsychological measurements and resting-state functional magnetic resonance imaging (rs-fMRI). Methods /Design This study is a randomized, patient-assessor-blinded trial. A total of 60 eligible patients with insomnia disorder will be randomized in a ratio of 1:1 to the real acupuncture group and sham acupuncture group. Acupuncture intervention will be administered to all patients three times a week for 4 weeks, followed up for 8 weeks. 30 age- and sex-matched healthy good sleepers will be recruited as healthy control group without any treatment intervention. All participants will undergo neuropsychological and rs-fMRI evaluations. The primary outcome includes the change of Pittsburgh Sleep Quality Index (PSQI) scores. The secondary outcome includes Hyperarousal scale (HAS),rs-fMRI measurements, Fatigue scale-14 (FS-14), Hamilton depression scale (HAMD), Hamilton anxiety scale (HAMA), a sleep diary, and actigraph test. All outcomes will be evaluated at baseline, post-treatment period and follow-up. The main analyses will be carried out on the basis of the intention-to-treat principle. Discussion The results of the trial will contribute to the efficacy and central mechanism of acupuncture treating insomnia disorder.

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