ABSTRACT
The recurrent neural network architecture improves the processing ability of time-series data. However, issues such as exploding gradients and poor feature extraction limit its application in the automatic diagnosis of mild cognitive impairment (MCI). This paper proposed a research approach for building an MCI diagnostic model using a Bayesian-optimized bidirectional long short-term memory network (BO-BiLSTM) to address this problem. The diagnostic model was based on a Bayesian algorithm and combined prior distribution and posterior probability results to optimize the BO-BiLSTM network hyperparameters. It also used multiple feature quantities that fully reflected the cognitive state of the MCI brain, such as power spectral density, fuzzy entropy, and multifractal spectrum, as the input of the diagnostic model to achieve automatic MCI diagnosis. The results showed that the feature-fused Bayesian-optimized BiLSTM network model achieved an MCI diagnostic accuracy of 98.64% and effectively completed the diagnostic assessment of MCI. In conclusion, based on this optimization, the long short-term neural network model has achieved automatic diagnostic assessment of MCI, providing a new diagnostic model for intelligent diagnosis of MCI.
Subject(s)
Humans , Bayes Theorem , Neural Networks, Computer , Algorithms , Brain , Cognitive Dysfunction/diagnosisABSTRACT
In order to fully explore the neural oscillatory coupling characteristics of patients with mild cognitive impairment (MCI), this paper analyzed and compared the strength of the coupling characteristics for 28 MCI patients and 21 normal subjects under six different-frequency combinations. The results showed that the difference in the global phase synchronization index of cross-frequency coupling under δ-θ rhythm combination was statistically significant in the MCI group compared with the normal control group ( P = 0.025, d = 0.398). To further validate this coupling feature, this paper proposed an optimized convolutional neural network model that incorporated a time-frequency data enhancement module and batch normalization layers to prevent overfitting while enhancing the robustness of the model. Based on this optimized model, with the phase locking value matrix of δ-θ rhythm combination as the single input feature, the diagnostic accuracy of MCI patients was (95.49 ± 4.15)%, sensitivity and specificity were (93.71 ± 7.21)% and (97.50 ± 5.34)%, respectively. The results showed that the characteristics of the phase locking value matrix under the combination of δ-θ rhythms can adequately reflect the cognitive status of MCI patients, which is helpful to assist the diagnosis of MCI.
Subject(s)
Humans , Electroencephalography/methods , Cognitive Dysfunction/diagnosis , Neural Networks, Computer , Sensitivity and SpecificityABSTRACT
A case of limbic encephalitis with positive anti-leucine-rich glioma inactivated 1 protein (LGI1) antibody and anti-myelin oligodendrocyte glycoprotein (MOG) antibody was reported. The patient was a middle-aged male with a history of retinal vein occlusion. The main symptoms were temporal lobe epilepsy, facial arm dystonia, autonomic nerve dysfunction. Magnetic resonance imaging showed long T 2 signal in the right hippocampus without enhancement and normal perfusion. Electroencephalogram showed paroxysmal slow wave and sharp slow wave in interictal period. Blood anti-MOG antibody, blood and cerebrospinal fluid anti-LGI1 antibody were double positive. The main diagnosis was limbic encephalitis. After treatment with hormone and gamma globulin, the symptoms were improved and double antibodies were turned negative. Anti-LGI1/MOG double positive cases are rare, and the clinical manifestations and imaging manifestations of double positive antibody cases are not completely consistent with those with each single antibody, with different characteristics. This report can help clinicians enhance awareness.
ABSTRACT
Objective To analyse the effect of dual antiplatelet drugs on fibulin-5, vWF and P-selection in serum of patients with acute cerebral infarction.Methods Diagnosed 60 patients with acute cerebral infarction in our hospital and collected. All patients were randomly divided into experimental group and control group, 30 cases in each group.The control group was treated with conventional treatment and aspirin, and the experimental group was treated with clopidogrel on the basis of control group.After treatment, the serum levels of Fibulin-5, vWF, P-selection and adverse reactions were detected in all patients.ResuIts After treatment, compared with control group, the serum Fibulin-5 level was significantly lower in experimental group ( P<0.05 );the serum vWF level in experimental group was significantly lower ( P<0.05 );the serum P-selectin level in experimental group was significantly lower (P<0.05);there was no significant difference in the incidence of adverse reactions between two groups. ConcIusion Dual antiplatelet drugs can reduce serum vWF, P-selectin and fibulin-5 in serum of patients with acute cerebral infarction, adverse reactions do not significantly increase, have guiding significance to clinical application.
ABSTRACT
Objective To analyse the effect of dual-antiplatelet drugs on S100β,IL-1β, adiponectin(ADPN)and NIHSS score in patients with acute cerebral infarction.Methods 58 patients diagnosed with acute cerebral infarction in first hospital of Qinhuangdao.All patients were collected and randomly divided into experimental group and control group according to random number table , 29 cases in each group.Both group were given the treatrnent of improvng the cerebral vascular circulation, protect brain cells, control blood pressure, blood glucose, oxygen when necessary.On the basis of conventional treatment, control group was treated with aspirin 200 mg, one time per day,orally.And experimental group was treated with clopidogrel 75 mg/d on the basis of control group,one time per day,orally.After treatment, the serum levels of S100β, IL-1β, ADPN and NIHSS score were detected in all patients.ResuIts After treatment, compared with control group,the serum S100βprotein level was significantly lower in the experimental group (P<0.05); the serum IL-1βlevel in experimental group was significantly lower (P<0.05);ADPN level in experimental group was significantly higher (P<0.05); NIHSS score of patients in experimental group was significantly lower (P<0.05).ConcIusions Dual antiplatelet drugs can reduce serum S100βprotein,IL-1βin serum of patients with acute cerebral infarction, increase the level of serum adiponectin, decrease NIHSS score, can effectively improre neurological function in patients with acute cerebral infarction.