Objective To systematically review the efficacy of six cognitive interventions on cognitive function of patients with mild cognitive impairment after stroke. Methods The PubMed, EMbase, Cochrane Library, SinoMed, WanFang Data and CNKI databases were electronically searched to collect randomized controlled trials on the effects of non-drug interventions on the cognitive function of patients with mild cognitive impairment after stroke from inception to March 2023. Two reviewers independently screened the literature, extracted data, and assessed the risk of bias of the included studies. Network meta-analysis was then performed using Openbugs 3.2.3 and Stata 16.0 software. Results A total of 72 studies involving 4 962 patients were included. The results of network meta-analysis showed that the following five cognitive interventions improved the cognitive function of stroke patients with mild cognitive impairment: cognitive control intervention (SMD=−1.28, 95%CI −1.686 to −0.90, P<0.05) had the most significant effect on the improvement of cognitive function, followed by computer cognitive training (SMD=−1.02, 95%CI −1.51 to −0.53, P<0.05), virtual reality cognitive training (SMD=−1.20, 95%CI −1.78 to −0.62, P<0.05), non-invasive neural regulation (SMD=−1.09, 95%CI −1.58 to −0.60, P<0.05), and cognitive stimulation (SMD=−0.94, 95%CI −1.82 to −0.07, P<0.05). Conclusion Five cognitive interventions are effective in improving cognitive function for stroke patients with mild cognitive impairment, among which cognitive control intervention is the most effective. Due to the limited quantity and quality of the included studies, more high-quality studies are needed to verify the above conclusion.
Alzheimer’s disease (AD) is a common and serious form of elderly dementia, but early detection and treatment of mild cognitive impairment can help slow down the progression of dementia. Recent studies have shown that there is a relationship between overall cognitive function and motor function and gait abnormalities. We recruited 302 cases from the Rehabilitation Hospital Affiliated to National Rehabilitation Aids Research Center and included 193 of them according to the screening criteria, including 137 patients with MCI and 56 healthy controls (HC). The gait parameters of the participants were collected during performing single-task (free walking) and dual-task (counting backwards from 100) using a wearable device. By taking gait parameters such as gait cycle, kinematics parameters, time-space parameters as the focus of the study, using recursive feature elimination (RFE) to select important features, and taking the subject’s MoCA score as the response variable, a machine learning model based on quantitative evaluation of cognitive level of gait features was established. The results showed that temporal and spatial parameters of toe-off and heel strike had important clinical significance as markers to evaluate cognitive level, indicating important clinical application value in preventing or delaying the occurrence of AD in the future.
ObjectiveTo analyze the related factors of cognitive impairment in patients with post-traumatic epilepsy. MethodsFrom January 2016 to January 2019, 45 patients with post-traumatic epilepsy (epilepsy group) and 48 patients with physical examination (control group) at the Department of Neurosurgery, the 904th Hospital of PLA were analyzed retrospectively. Cognitive assessment were evaluated by the following scales: Montreal cognitive assessment (MoCA), Mini-mental state examination (MMSE), Audio verbal memory test (AVMT), Rey-osterrieth complex figure test (CFT) and Trail making test (TMT). Then we analyzed the influences of gender, age, course of disease, cause, type, degree and location of injury, seizure frequency and Anti-seizure medications (ASMs) on cognitive impairment. ResultsThe results showed that there were significant differences between the epilepsy group and the control group in all scales (P<0.01). Analysis of influencing factors in epilepsy group showed: MoCA and MMSE scores: there were statistical significance in the comparison of seizure frequency and injury degree (P<0.05); AVMT, CFT and TMT scores: there were statistical significance in the comparison of seizure frequency, injury degree and location, ASMs within the group (P<0.05). ConclusionPost-traumatic epilepsy can cause cognitive impairment. The more frequent epileptic seizures and the more severe the degree of trauma, the more serious the cognitive impairment. Different injury sites affect the scope of cognitive impairment, temporal lobe injury is easy to cause memory function decline, frontal lobe injury is easy to cause spatial structure and executive ability decline, at the same time, the combined use of ASMs has an impact on cognitive function.
ObjectiveTo evaluate the efficacy of different non-pharmacological interventions on cognitive function in elderly patients with mild cognitive impairment by the network meta-analysis. MethodsThe PubMed, Embase, Cochrane Library, CINAHL, CNKI, WanFang Data, VIP and CBM databases were electronically searched to collect randomized controlled trials (RCTs) related to the objectives from inception to November 2022. Two reviewers independently screened literature, extracted data and assessed the risk of bias of the included studies. The network meta-analysis was then performed by using Stata 16.0 and Open BUGS 3.2.3 software. ResultsA total of 43 RCTs involving 2 986 patients were included, which involved 8 non-drug intervention methods. The best probability ranking results of the network meta-analysis showed that on the simple mental state scale (MMSE) scores: rTMS > acupressure > acupuncture therapy > exercise therapy > cognitive training > multicomponent intervention > VR > conventional care > health education, and on the Montreal cognitive assessment scale (MoCA) scores: VR > exercise therapy > rTMS > acupuncture therapy > acupressure > cognitive training > health education > conventional care. Conclusion Current evidence shows that rTMS, acupressure, VR, exercise therapy and acupuncture may be effective interventions to improve cognitive function in elderly patients with mild cognitive impairment. Due to the limited quality and quantity of the included studies, more high quality studies are needed to verify the above conclusion.
Objective To analyze the efficacy of music therapy on the rehabilitation of post-stroke cognitive impairment (PSCI) and to provide a reference for rehabilitation intervention methods for PSCI. Methods Patients hospitalized in Beijing Bo’Ai Hospital, China Rehabilitation Research Center and diagnosed with PSCI between December 2020 and July 2022 were prospectively selected. According to the random number table method, patients were divided into a music therapy group and a control group. Both groups were given conventional neurology medication, nursing care, and conventional rehabilitation. The music therapy group received additional music therapy training, and both groups received treatment for one month. The Montreal Cognitive Assessment (MoCA), National Institute of Health Stroke Scale (NIHSS), Fugl-Meyer Assessment Scale (FMA), and modified Barthel Index (MBI) were used before and after treatment to assess patients’ cognitive function, degree of neurological deficits, motor function and activities of daily live. Results A total of 48 patients were included, with 24 patients in both groups. There was no statistically significant difference in gender, age, education level, stroke type, lesion location, comorbidities, history of myocardial infarction or peripheral vascular disease, and smoking status between the two groups of patients (P>0.05). Before and after treatment, most patients in the two groups did not score in terms of language and delayed recall scores, and the difference were not statistically significant (P>0.05). There was no statistically significant difference in MoCA scores, visual space and executive function, naming, attention, calculation, abstract thinking, and orientation scores between the two groups of patients before treatment (P>0.05). After treatment, the MoCA score, visual space and executive function, naming, attention, calculation, abstract thinking, and orientation scores of the music therapy group improved compared to before treatment (P<0.05), while the MoCA score, visual space and executive function, naming, attention, and orientation scores of the control group improved compared to before treatment (P<0.05). After treatment, the improvement in MoCA scores [5.0 (3.0, 6.0) vs. 2.5 (1.0, 4.0)], attention [1.0 (0.0, 1.0) vs. 0.0 (0.0, 1.0)], and abstract thinking scores [0.0 (0.0, 1.0) vs. 0.0 (0.0, 0.0)] in the music therapy group were better than that in the control group (P<0.05). There was no statistically significant difference in NIHSS, FMA, and MBI scores between the two groups of patients before treatment (P>0.05), and both groups improved after treatment compared to before treatment (P<0.05). After treatment, there was no statistically significant difference in the improvement of NIHSS, FMA, and MBI scores between the two groups of patients (P>0.05). Conclusions Compared with conventional rehabilitation therapy, training combined with music therapy is more beneficial for improving cognitive function in PSCI patients, especially in the cognitive domains of attention and abstract thinking. However, significant advantages have not been found in improving the degree of neurological impairment, limb motor function, and daily living activities.
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.
Epilepsy is defined as a disorder of brain neural function, characterized by the persistent possibility of seizures, which are usually sudden, brief, and recurrent. Cognition is a process of receiving information from the external world and analyzing and processing it, such as memory, language, visual-spatial, executive, calculation, comprehension, and judgement. With the increasing awareness of health, more and more scholars have begun to pay attention to the relationship between cognitive dysfunction and epilepsy. Data shows that over 80% of epilepsy patients have lower cognitive abilities than healthy people, and over 50% of patients have significant cognitive problems, which have a negative impact on their quality of life even greater than the seizures themselves. Cognitive impairment in epilepsy patients not only hinders their own treatment progress, but also has a negative impact on their daily life, academic and job performance, which brings huge care and economic pressure to their families and a heavy economic burden to the whole society. This review aimed to assess cognitive modules and provide key information for early diagnosis and treatment of patients.
ObjectivesTo compare the clinical features and the effects on cognition, emotion, and prognosis of antiepileptic drugs (AEDs) between occipital lobe epilepsy (OLE) and temporal lobe epilepsy (TLE).MethodsWe collected the clinical data of the patients with OLE and TLE from the Department of Neurology, the First Hospital of Jilin University from January 2016 to May 2018. We measured the patients with Mini-mental state examination (MMSE), Montreal cognitive assessment (MoCA), digital span, Auditory verbal memory test (AVMT), Generalized anxiety disorder (GAD-7), Patient health questionnaire-9 (PHQ-9) and Chinese version of the Neurological Disorders Depression Inventory for Epilepsy (c-NDDI-E) and followed up for 1 year.Results① After 1 year’s follow-up, the frequency of the two groups decreased compared with the first visit (Z=3.734, P=0.000) and the extent was similar (Z=−0.290, P=0.772). In group OLE, occipital aura was 45.9% (17 cases) and temporal aura was 37.8% (14 cases). In TLE group, temporal aura was 49.3% (33 cases) and occipital aura 7.5% (5 cases). In OLE group, post-seizure headache was found in 17 cases (45.9%), which was more than the 15 cases (22.4%) in TLE group (χ2=6.210, P=0.013). ② 30 cases (81.1%) in OLE group interictal discharge involved lobes outside occipitotemporal lobe, 4 of which had a wide-lead-involved discharge, and 19 cases (28.4%) in TLE group involved lobes outside temporal lobe, and there was a significant difference between the two groups (χ2=26.592, P=0.000). ③ There was no significant difference in the score of MOCA and AVMT in the group of OLE-A and OLE-B, either the group of TLE-A and TLE-B. The score of AVMT in group OLE-A was higher than that in group TLE-A (t=3.193, P=0.002), and that in group OLE-B was higher than that in group TLE-B (t=2.264, P=0.029). There was no significant difference in GAD-7, PHQ-9, and c-NDDI-E (P>0.05). After follow-up for 1 year, the scores were compared with its initial scales. The score of GAD-7 (Z=−2.561, P=0.010), PHQ-9 (Z=−2.053, P=0.040) and c-NDDI-E (Z=−2.493, P=0.013) all decreased. The score of GAD-7 (r=0.281, P=0.021) and c-NDDI-E (r=0.456, P=0.000) have a positive correlation with the frequency of seizure. Therapeutic effect: In OLE group, the efficiency of carbamazepine or oxcarbazepine group was 58.82% and of levetiracetam group was 83.33%. in TLE group, the efficiency of carbamazepine or oxcarbazepine was 72.50% and of levetiracetam group was 70.00%. There was no significant difference between group OLE and group TLE in the curative effect of carbamazepine or oxcarbazepine group (χ2=1.033, P=0.310) or levetiracetam group (χ2=0.356, P=0.551). After 1 year’s follow-up, the frequency of OLE group was 0.00 (0.000, 2.750) times per month, and the TLE group was 0.00 (0.000, 1.500) times per month. There was no significant difference between the two groups (Z=−0.226, P=0.822). At the follow-up, the frequency of seizure in the two groups was lower than that at the first visit (P=0.000). The frequency of seizure in TLE group was similar to that in OLE group (=−0.648, P=0.517). After 1 year, 5 patients (13.51%) in OLE group were newly diagnosed as refractory epilepsy and 6 patients (9.00%) in TLE group There was no significant difference in the rate of the newly diagnosed refractory epilepsy between the two groups (2=0.524, P=0.469).ConclusionOccipital aura and post-seizure headache are specific to OLE, which can be used as one of the basis for diagnosis of OLE. Epileptiform discharge in OLE is more likely to spread out in multiple cerebral lobes, while epileptiform discharge in TLE is confined to temporal lobe and the area near it. The cognitive impairment in OLE or TLE is not related to the duration of the disease. The degree of depression is positively correlated with the frequency of seizure. The responses to AEDs of OLE and TLE are similar.
This paper, focusing on vascular cognitive impairment, summarizes the current situation of cognitive impairment rehabilitation at home and abroad, and makes a comprehensive and systematic introduction and review on the concept, assessment, and treatment of cognitive impairment, and so on. This paper raises people’s awareness of cognitive impairment and guides people to make appropriate choices about assessment and treatment methods according to different conditions, in order to improve the diagnosis rate of cognitive impairment, and to comprehensively adopt various rehabilitation treatment methods to improve cognitive rehabilitation efficacy. At the same time, it points out the weak points and future development trend of cognitive impairment rehabilitation in order to help the future work.