Cognitive Impairment In Patients Research Articles

The role of quantitative electroencephalography in the diagnosis of postoperative cerebral consequences in patients with cardiovascular pathology who underwent cardiac surgery using artificial circulation. Importance for oncology (literature review)

Currently, special attention of researchers is attracted to the problem of diagnosing postoperative brain damage and cognitive impairment in patients with cardiovascular pathology after cardiac surgery without/under conditions of artificial circulation (AC). The main method of assessing the functional state of the brain is quantitative electroencephalography (EEG). Because of cardiovascular and oncological pathology could persist in one patient it is actual simultaneous cardial and oncological surgery under EEG monitoring.Objective: based on the literature data, to find out the role of EEG in diagnosis of cerebral complications in patients with cardiovascular pathology after cardiac surgery without /under conditions of AC.Methods. We found and analyzed data in specialized medical data base Pubmed, Scopus, Web of Science about EEG methods in patients after heart bypass with/without AC from 1980 to 2023 years.Results. The quantitative EEG is very important for early diagnosis and prognosis for cerebral ischemia, epileptiform activity, postoperative cognitive dysfunction in patients with coronary heart disease (CHD) after coronary artery bypass with/without AC. However, the studies did not included patients with oncopathology, people over 70 years of age. It opens possibilities for early diagnosis of central nervous system functional condition in patients with lung cancer and cardiovascular disorders in simultaneous (concomitant heart and lung with/without AC) surgery. It will help a correction of complications in time and a development of guided rehabilitation

Classification of Neurocognition in Japanese Patients with Schizophrenia: A Cluster Analysis

Objectives. Cognitive functions in almost all domains are lower in patients with schizophrenia than those in healthy controls, with the severity of impairment differing between domains. Treatments are being developed to improve cognitive impairment in patients with schizophrenia. However, the pattern of cognitive impairment must be clarified to facilitate treatment. Therefore, this study aimed to classify the patterns of cognitive impairment in individuals and provide treatment suggestions. Methods. Patients with schizophrenia were recruited from two psychiatric hospitals in Japan. Demographic and psychopathological symptoms were assessed using the Positive and Negative Symptoms Scale for Schizophrenia and neurocognitive functions, using the CogHealth battery. The following domains were assessed: processing speed, visual attention, working memory, visual learning, and spatial attention. The scores were standardised and assigned as the same-aged average score. Hierarchical cluster analysis using Ward’s method was performed based on CogHealth scores. Subsequently, one-way analysis of variance (ANOVA) and Tukey’s multiple comparisons were performed to compare the variables in each cluster. Results. In total, 133 participants were classified into four clusters: Cluster 1 (n = 16), with severe cognitive impairment and psychiatric symptoms and the longest stay; Cluster 2 (n = 44), with moderate cognitive impairment and psychiatric symptoms; Cluster 3 (n = 42), with preserved cognitive function, except for spatial perception, and mild psychiatric symptoms; and Cluster 4 (n = 31), with only memory and spatial perception impairment and mild psychiatric symptoms. Implications. The clusters indicate that impairment may occur in all or selective domains. Selective domain impairments may be in spatial perception or in spatial perception and memory. Therefore, it is recommended that treatments for cognitive dysfunction are developed into four subsets considering an individual’s cognitive features.

Effect of acceptance and commitment therapy-based interventions on mental health and cognitive impairment for patients with advanced colorectal cancer.

The mental and emotional health of persons diagnosed with cancer is frequently affected. The acceptance and commitment therapy (ACT) is one of the psychological interventions that has proven successful in easing these psychological symptoms and enhancing cancer patients' psychological well-being. A two-arm randomized controlled trial study was utilized, 30 eligible clients with colorectal cancer were chosen randomly and were given ACT therapy at a 1:1 ratio. ACT was delivered in six sessions for 3weeks, followed by 3 months follow-up. The table shows a statistically significant increase in the mean scores of the mental health and its flourishing level among the study group than those of the control group. Cognitive impairment was significantly decreased among the study group than for those in the control group. The ACT-based interventions may be a promising approach for improving mental health and cognitive function in cancer patients, particularly those with advanced disease.

Pseudo-resting-state functional MRI derived from dynamic susceptibility contrast perfusion MRI can predict cognitive impairment in glioma.

Resting-state functional MRI (rs-fMRI) can be used to estimate functional connectivity (FC) between different brain regions, which may be of value for identifying cognitive impairment in patients with brain tumors. Unfortunately, neither rs-fMRI nor neurocognitive assessments are routinely assessed clinically, mostly due to limitations in exam time and cost. Since DSC perfusion MRI is often used clinically to assess tumor vascularity and similarly uses a gradient echo-EPI sequence for T2*sensitivity, we theorized a "pseudo-rs-fMRI" signal could be derived from DSC perfusion to simultaneously quantify FC and perfusion metrics, and these metrics can be used to estimate cognitive impairment in patients with brain tumors. N=24 consecutive patients with gliomas were enrolled in a prospective study that included DSC perfusion MRI, rs-fMRI, and neurocognitive assessment. Voxel-wise modeling of contrast bolus dynamics during DSC acquisition was performed and then subtracted from the original signal to generate a residual "pseudo-rs-fMRI" signal. Following the pre-processing of pseudo-rs-fMRI, full rs-fMRI, and a truncated version of the full rs-fMRI (first 100 timepoints) data, the default mode, motor, and language network maps were generated with atlas-based ROIs. Dice scores were calculated for the resting-state network maps from pseudo-rs-fMRI and truncated rs-fMRI using the full rs-fMRI maps as reference. Seed-to-voxel and ROI-to-ROI analyses were performed to assess FC differences between cognitively impaired and non-impaired patients. Dice scores for the group-level and patient-level (mean±SD) default mode, motor, and language network maps using pseudo-rs-fMRI were 0.905/0.689±0.118 (group/patient), 0.973/0.730±0.124, and 0.935/0.665±0.142, respectively. There was no significant difference in Dice scores between pseudo-rs-fMRI and the truncated rs-fMRI default mode (P=0.97) or language networks (P=0.30), but there was a difference in motor networks (P=0.02). A multiple logistic regression classifier applied to ROI-to-ROI FC networks using pseudo-rs-fMRI could identify cognitively impaired patients (Sensitivity=84.6%, Specificity=63.6%, ROC AUC=0.7762±0.0954 (SE), P=0.0221) and performance was not significantly different than full rs-fMRI predictions (AUC=0.8881±0.0733 (SE), P=0.0013, P=0.29 compared to pseudo-rs-fMRI). DSC perfusion MRI-derived pseudo-rs-fMRI data can be used to perform typical rs-fMRI FC analyses that may identify cognitive decline in patients with brain tumors while still simultaneously performing perfusion analyses.ABBREVIATIONS: AUC = Area under curve; BOLD = Blood oxygenation level dependent; FC = Functional connectivity; MNI = Montreal Neurological Institute; ROC = Receiver operating characteristic; Rs-fMRI = Resting-state functional MRI.

Aberrant cortical morphology patterns are associated with cognitive impairment in patients with chronic heart failure.

A mounting body of evidences suggests that patients with chronic heart failure (HF) frequently experience cognitive impairments, but the neuroanatomical mechanism underlying these impairments remains elusive. In this retrospective study, 49 chronic HF patients and 49 healthy controls (HCs) underwent brain structural MRI scans and cognitive assessments. Cortical morphology index (cortical thickness, complexity, sulcal depth and gyrification) were evaluated. Correlations between cortical morphology and cognitive scores and clinical variables were explored. Logistic regression analysis was employed to identify risk factors for predicting 3-year major adverse cardiovascular events. Compared with HCs, patients with chronic HF exhibited decreased cognitive scores (p < .001) and decreased cortical thickness, sulcal depth and gyrification in brain regions involved cognition, sensorimotor, autonomic nervous system (family-wise error correction, all p values <.05). Notably, HF duration and New York Heart Association (NYHA) demonstrated negative correlations with abnormal cortex morphology, particularly HF duration and thickness in left precentral gyrus (r = -.387, p = .006). Cortical morphology characteristics exhibited positive associations with global cognition, particularly cortical thickness in left pars opercularis (r= .476, p< .001). NYHA class is an independent risk factor for adverse outcome (p = .001). The observed correlation between abnormal cortical morphology and global cognition suggested that cortical morphology may serve as a promising imaging biomarker and provide insights into neuroanatomical underpinnings of cognitive impairment in patients with chronic HF.

Neuroinflammation in dementia: A meta-analysis of PET imaging studies.

Dementia is a major public health challenge for aging societies worldwide. Neuroinflammation is thought to be a key factor in dementia development. The aim of this study was to comprehensively assess translocator protein (TSPO) expression by positron emission tomography (PET) imaging to reveal the characteristics of neuroinflammation in dementia. We used a meta-analysis to retrieve literature on TSPO expression in dementia using PET imaging technology, including but not limited to the quality of the study design, sample size, and the type of TSPO ligand used in the study. For the included studies, we extracted key data, including TSPO expression levels, clinical characteristics of the study participants, and specific information on brain regions. Meta-analysis was performed using R software to assess the relationship between TSPO expression and dementia. After screening, 12 studies that met the criteria were included. The results of the meta-analysis showed that the expression level of TSPO was significantly elevated in patients with dementia, especially in the hippocampal region. The OR in the hippocampus was 1.50 with a 95% CI of 1.09 to 1.25, indicating a significant increase in the expression of TSPO in this region compared to controls. Elevated levels of inflammation in the prefrontal lobe and cingulate gyrus are associated with cognitive impairment in patients. This was despite an OR of 1.00 in the anterior cingulate gyrus, indicating that TSPO expression in this region did not correlate significantly with the findings. The overall heterogeneity test showed I² = 51%, indicating moderate heterogeneity. This study summarizes the existing literature on TSPO expression in specific regions of the brain in patients with dementia, and also provides some preliminary evidence on the possible association between neuroinflammation and dementia. However, the heterogeneity of results and limitations of the study suggest that we need to interpret these findings with caution. Future studies need to adopt a more rigorous and consistent methodological design to more accurately assess the role of neuroinflammation in dementia, thereby providing a more reliable evidence base for understanding pathological mechanisms and developing potential therapeutic strategies.

Latent Class Analysis of Sleep in Mild Cognitive Impairment Patients and its Influencing Factors

Background: Individuals with mild cognitive impairment (MCI) frequently experience sleep disorders, which may elevate the risk of developing Alzheimer’s disease. Yet, sleep types in MCI patients and the factors influencing them have not been sufficiently investigated. Objective: The objective of this study was to explore potential sleep typing and its influencing factors in patients with MCI using latent class analysis. Methods: A cross-sectional survey was conducted in Jiangsu Province, China. Cognitive function in older adults was assessed using neuropsychological tests, including the Montreal Cognitive Assessment Scale-Beijing version (MoCA), the Mini-Mental State Examination (MMSE), the Activities of Daily Living Scale (ADL), and the Clinical Dementia Rating Scale (CDR). Sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI). Latent class analysis based on PSQI scores and multinomial logistic regression analyses were employed to explore the influencing factors of sleep typing. Results: The study included a total of 611 patients with MCI. Latent class analysis identified three latent classes to categorize the sleep patterns of MCI patients: the good sleep type (56.6%), the insufficient sleep type (29.6%), and the difficulty falling asleep type (13.7%). Potential sleep typing is influenced by gender, chronic disease, physical exercise, social activity, brain exercise, smoking, frailty, subjective cognitive status, and global cognitive function. Conclusions: The findings of this study underscore the notable heterogeneity in the sleep patterns of patients with MCI. Future research may provide targeted prevention and interventions to address the characteristics and influencing factors of patients with different subtypes of sleep MCI.

Abstract PO5-12-05: A Retrospective Study of the Rate of Cognitive Impairment and Influencing Factors during Postoperative Endocrine Therapy for Breast Cancer

Abstract Background Although cancer-related cognitive impairment (CRCI) has been gradually recognized, general cognitive function tests such as the MMSE are not sensitive enough to diagnose CRCI. There is also a lack of evidence on the incidence and its response. However, even mild cognitive impairment can have a significant impact on quality of life. In this study, we retrospectively analyzed the prevalence of cognitive impairment in patients undergoing endocrine therapy at our hospital and the factors influencing the symptoms. Subjects 349 patients who continued single-agent postoperative endocrine therapy for at least 6 months between January 1 and October 31, 2022, and who responded to the cognitive dysfunction questionnaire at least once. Data from the cognitive dysfunction items of the endocrine therapy questionnaire administered during the period were used to retrospectively examine the CRCI awareness rate and factors involved. Results and Discussion The patients who were aware of cognitive dysfunction was 170, or 49% of all patients, and univariate analysis showed that age was significantly higher in the group with CRCI, but there were no significant differences in type of endocrine therapy or history of chemotherapy between the groups with and without CRCI. Physical symptoms such as menopausal symptoms (hot flashes and sweats), arthralgia, myalgia, fatigue, depressed mood, and malaise were significantly more frequent in patients with CRCI, which could be considered side effects of endocrine therapy. Risk factors such as low cognitive reserve, low level of education, advanced age, race, depression, fatigue, and anxiety have been reported in the past, and in this study, fatigue, depressed mood, and malaise were found significantly more frequently in patients with cognitive dysfunction. However, the diagnosis of depression and dementia may also be important.Non-pharmacological interventions, especially cognitive rehabilitation and exercise, are expected to be effective in improving symptoms, but there is no certain opinion yet. The limitation of this study is that it was a single-center, retrospective analysis. In addition, it was difficult to evaluate the results over time, including before the start of oral medication, so we are considering conducting a prospective data collection study so that comparisons can be made in the future. Conclusion: This study was a simple screening, based only on subjective symptoms. In recent years, postoperative endocrine therapy has been prolonged to 10 years, and there is a possibility to improve the quality of life of patients by recognizing the possibility of cognitive dysfunction in both providers and patients, and by taking measures that include multiple factors. Citation Format: Akari Murakami, Mayuko Aono, Kaho Utsunomiya, Kumiko Okujima, Kana Takemoto, Megumi Takaoka, Erina Kusakabe, Kana Taguchi, Kanako Nishiyama, Yoshiaki Kamei, Yasutsugu Takada, Hitoshi Tanimukai. A Retrospective Study of the Rate of Cognitive Impairment and Influencing Factors during Postoperative Endocrine Therapy for Breast Cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-12-05.

Predicting the cognitive impairment with multimodal ophthalmic imaging and artificial neural network for community screening

Background/aimsTo investigate the comprehensive prediction ability for cognitive impairment in a general elder population using the combination of the multimodal ophthalmic imaging and artificial neural networks.MethodsPatients with cognitive impairment and...

Cognitive impairment in asymptomatic carotid artery stenosis is associated with abnormal segments in the Circle of Willis

Our group has previously demonstrated that patients with asymptomatic carotid artery stenosis (ACAS) demonstrate cognitive impairment. One proposed mechanism for cognitive impairment in patients with ACAS is cerebral hypoperfusion due to flow-restriction. We tested whether the combination of a high-grade carotid stenosis and inadequate cross-collateralization in the Circle of Willis (CoW) resulted in worsened cognitive impairment. Twenty-four patients with high-grade (≥70% diameter-reducing) ACAS underwent carotid duplex ultrasound, cognitive assessment, and 3D time-of-flight magnetic resonance angiography (MRA). The cognitive battery consisted of nine neuropsychological tests assessing four cognitive domains: learning and recall, attention and working memory, motor and processing speed, and executive function. Raw cognitive scores were converted into standardized T-scores. A structured interpretation of the MRA images was performed with each segment of the CoW categorized as being either normal or abnormal. Abnormal segments of the CoW were defined as segments characterized as narrowed or occluded due to congenital aplasia or hypoplasia, or acquired atherosclerotic stenosis or occlusion. Linear regression was used to estimate the association between the number of abnormal segments in the CoW, and individual cognitive domain scores. Significance was set to p<0.05. The mean age of the patients was 66.1 + 9.6 (mean + SD) years and 79.2% (n=19) were male. A significant negative association was found between the number of abnormal segments in the CoW and cognitive scores in the learning and recall (β = -6.5, p = 0.01), and attention and working memory (β = -7.0, p = 0.02) domains. There was a trend suggesting a negative association in the motor and processing speed (β = -2.4, p = 0.35) and executive function (β = -4.5, p = 0.06) domains that did not reach significance. In patients with high-grade ACAS, the concomitant presence of increasing occlusive disease in the CoW correlates with worse cognitive function. This association was significant in the learning and recall and attention and working memory domains. While motor and processing speed and executive function also declined numerically with increasing abnormal segments in the CoW, the relationship was not significant. Since flow restriction at a carotid stenosis compounded by inadequate collateral compensation across a diseased CoW worsens cerebral perfusion, our findings support the hypothesis that cerebral hypoperfusion underlies the observed cognitive impairment in patients with ACAS.

Oral anticoagulants and cognitive impairment in patients with atrial fibrillation: A systematic review with meta-analysis and trial sequential analysis

BackgroundThis systematic review assesses the likelihood of developing dementia and cognitive impairment in patients with atrial fibrillation (AF) receiving non-vitamin K antagonist oral anticoagulants (NOACs) as opposed to vitamin K antagonists (VKAs). MethodsWe performed a systematic review with meta-analysis and trial sequential analysis (TSA), which encompassed both randomized controlled trials (RCTs) and observational studies. The objective was to assess the impact of NOACs and VKAs on the incidence of dementia in individuals diagnosed with AF. ResultsOut of 1914 studies that were screened, 31 studies were included in the final analysis, which consisted of nine RCTs or their subsequent post-hoc analyses, in addition to 22 observational studies. The meta-analysis shows that NOACs were associated with a decreased probability of developing dementia of any cause [Rate Ratio (RR): 0.88; 95 % confidence interval (95 % CI): 0.82–0.94], especially in patients below the age of 75 (RR: 0.78; 95 % CI: 0.73–0.84). Consistent patterns were observed across all forms of dementia and cognitive function decline. The overall evidence indicates notable variability in the outcome with a moderate-to-low degree of certainty. The TSA suggests that the total sample size of the included trials (155,647 patients) was significantly smaller than the required information size of 784,692 patients to discern the true effect of NOAC versus VKA in terms of reducing dementia risk. ConclusionNOACs may reduce the likelihood of developing dementia in patients with AF, particularly in those under the age of 75. This review highlights the urgent necessity for thorough research to determine the efficacy of NOACs in safeguarding cognitive health.

Normative modelling reveals distinct neural correlates of olfactory and cognitive impairments in patients with Parkinson's disease: A retrospective observational study

Normative modelling reveals distinct neural correlates of olfactory and cognitive impairments in patients with Parkinson's disease: A retrospective observational study

Astrocyte-derived CHI3L1 signaling impairs neurogenesis and cognition in the demyelinated hippocampus

Cognitive dysfunction is a feature in multiple sclerosis (MS), a chronic inflammatory demyelinating disorder. A notable aspect of MS brains is hippocampal demyelination, which is closely associated with cognitive decline. However, the mechanisms underlying this phenomenon remain unclear. Chitinase-3-like (CHI3L1), secreted by activated astrocytes, has been identified as a biomarker for MS progression. Our study investigates CHI3L1's function within the demyelinating hippocampus and demonstrates a correlation between CHI3L1 expression and cognitive impairment in patients with MS. Activated astrocytes release CHI3L1 in reaction to induced demyelination, which adversely affects the proliferation and differentiation of neural stem cells and impairs dendritic growth, complexity, and spine formation in neurons. Our findings indicate that the astrocytic deletion of CHI3L1 can mitigate neurogenic deficits and cognitive dysfunction. We showed that CHI3L1 interacts with CRTH2/receptor for advanced glycation end (RAGE) by attenuating β-catenin signaling. The reactivation of β-catenin signaling can revitalize neurogenesis, which holds promise for therapy of inflammatory demyelination.

Sulcal Morphometry Predicts Mild Cognitive Impairment Conversion to Alzheimer's Disease.

Being able to differentiate mild cognitive impairment (MCI) patients who would eventually convert (MCIc) to Alzheimer's disease (AD) from those who would not (MCInc) is a key challenge for prognosis. This study aimed to investigate the ability of sulcal morphometry to predict MCI progression to AD, dedicating special attention to an accurate identification of sulci. Twenty-five AD patients, thirty-seven MCI and twenty-five healthy controls (HC) underwent a brain-MR protocol (1.5T scanner) including a high-resolution T1-weighted sequence. MCI patients underwent a neuropsychological assessment at baseline and were clinically re-evaluated after a mean of 2.3 years. At follow-up, 12 MCI were classified as MCInc and 25 as MCIc. Sulcal morphometry was investigated using the BrainVISA framework. Consistency of sulci across subjects was ensured by visual inspection and manual correction of the automatic labelling in each subject. Sulcal surface, depth, length, and width were retrieved from 106 sulci. Features were compared across groups and their classification accuracy in predicting MCI conversion was tested. Potential relationships between sulcal features and cognitive scores were explored using Spearman's correlation. The width of sulci in the temporo-occipital region strongly differentiated between each pair of groups. Comparing MCIc and MCInc, the width of several sulci in the bilateral temporo-occipital and left frontal areas was significantly altered. Higher width of frontal sulci was associated with worse performances in short-term verbal memory and phonemic fluency. Sulcal morphometry emerged as a strong tool for differentiating HC, MCI, and AD, demonstrating its potential prognostic value for the MCI population.

Effect of different oral anticoagulants on cognitive function in patients with atrial fibrillation: A Bayesian network meta-analysis.

Atrial fibrillation (AF) is 1 of the most common types of arrhythmias. At present, the treatment for patients with AF mainly includes oral anticoagulants (OACs). Studies have shown that OACs are associated with cognitive decline in patients with atrial fibrillation; however, there is a lack of relevant evidence. This study used Bayesian network meta-analysis (NMA) to investigate the effects of different oral anticoagulants on cognitive decline in patients with AF. We systematically searched for clinical studies on oral anticoagulants in patients with AF in PubMed, Web of Science, Embase, and the Cochrane Library as of July 3, 2023. Cochrane's randomized controlled trial bias risk assessment tool and the Newcastle-Ottawa Scale were used to assess the bias risk of the included studies. The main outcome measure was decreased cognitive functioning. Ten studies were included, including 2 RCTs and 7 RCSs, including 882,847 patients with AF. Five oral anticoagulants and 2 anticoagulants were included: VKAs (especially warfarin), Dabigatran, Edoxaban, Rivaroxaban, Apixaban, and Aspirin, Clopidogrel. The results of the mesh meta-analysis showed that VKAs were superior to warfarin in reducing the risk of cognitive decline in patients with AF (OR = -1.19, 95% CI (-2.35, -0.06), P < .05) (Table 5). The top 3 drugs in terms of the probability of reducing the incidence of cognitive impairment in patients with AF with different oral anticoagulants were VKAs (87%), rivaroxaban (62.2%), and dabigatran (60.8%). Based on the results of this study, VKAs may be the best intervention measure for reducing the risk of cognitive decline in patients with AF. Owing to the limitations of this study, more high-quality randomized controlled trials with large sample sizes and multiple centers are required to provide more evidence.

Comparison of brain gray matter volume changes in peritoneal dialysis and hemodialysis patients with chronic kidney disease: a VBM study.

This study aims to compare gray matter volume changes in patients with chronic kidney disease (CKD) undergoing peritoneal dialysis (PD) and hemodialysis (HD) using voxel-based morphometry (VBM). A total of 27 PD patients, 25 HD patients, and 42 healthy controls were included. VBM analysis was performed, and cognitive function was assessed using the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment Scale (MoCA). The correlation between cognitive function and changes in brain gray matter volume was analyzed. Both peritoneal dialysis and hemodialysis patients had partial gray matter volume reduction compared to the controls, but the affected brain regions were not uniform. The hemodialysis patients had greater volume reduction in certain brain regions than the PD patients. The MMSE and MoCA scores were positively correlated with gray matter volume changes. Different dialysis modalities cause damage to specific areas of the brain, which can be detected using VBM. VBM, combined with cognitive function assessment, can help detect structural brain changes and cognitive impairment in patients with different dialysis modalities. The comprehensive application of VBM in the field of neurological function deserves further exploration.

Prospective Outpatient Follow-Up of Early Cognitive Impairment in Patients with Mild Traumatic Brain Injury and Intracranial Hemorrhage.

Mild traumatic brain injury (mTBI) encompasses a spectrum of disability including early cognitive impairment (ECI). The Brain Injury Guidelines (BIG) suggest mTBI patients can be safely discharged from the Emergency Department. Although half of mTBI patients with intracranial hemorrhage (ICH) have evidence of ECI, it is unclear what percentage of these patients' ECI persists after discharge. We hypothesize a significant proportion of trauma patients with mTBI and ECI at presentation have persistent ECI at 30-day follow-up. A single-center prospective cohort study including adult trauma patients with ICH or skull fracture plus a Glasgow coma scale (GCS) of 13-15 on arrival was performed. Participants were screened for ECI using the Rancho Los Amigos Scale (RLA), and ECI was defined as a RLA < 8. We compared ECI and non-ECI groups for demographics, injury profile, computed tomography (CT) imaging (e.g., Rotterdam CT score) and outcomes with bivariate analysis. 30-day follow up phone calls were performed to re-evaluate RLA for persistent ECI and concussion symptoms. From 62 patients with ICH or skull fracture and mTBI, 21 (33.9%) had ECI. Patients with ECI had a higher incidence of subarachnoid hemorrhage (85.7% versus 46.3%, p=0.003) and higher Rotterdam CT score (p=0.004) compared to those without ECI. On 30-day follow up, 6 of 21 patients (26.6%) had persistent ECI. In addition, 7 (33.3%) patients had continued concussion symptoms. Over one-third of mTBI patients with ICH had ECI. At 30-day post-discharge follow-up over one-fourth of these patients had persistent ECI and 33% had concussion symptoms. This highlights the importance of identifying ECI prior to discharge as a significant portion may have ongoing difficulties reintegrating into work and society.

A Pilot Study to Improve Cognitive Performance and Pupil Responses in Mild Cognitive Impaired Patients Using Gaze-Controlled Gaming

Mild cognitive impairment (MCI) may progress to severe forms of dementia, so therapy is needed to maintain cognitive abilities. The neural circuitry for oculomotor control is closely linked to that which controls cognitive behavior. In this study, we tested whether training the oculomotor system with gaze-controlled video games could improve cognitive behavior in MCI patients. Patients played a simple game for 2–3 weeks while a control group played the same game using a mouse. Cognitive improvement was assessed using the MoCA screening test and CANTAB. We also measured eye pupil and vergence responses in an oddball paradigm. The results showed an increased score on the MoCA test specifically for the visuospatial domain and on the Rapid Visual Information Processing test of the CANTAB battery. Pupil responses also increased to target stimuli. Patients in the control group did not show significant improvements. This pilot study provides evidence for the potential cognitive benefits of gaze-controlled gaming in MCI patients.

Effects of CACNA1C and ANK3 on cognitive function in patients with bipolar disorder

Bipolar disorder (BD) is a complex, severe mental illness with cognitive impairment. Impairments in attention and memory are particularly evident. A large number of previous studies have identified CACNA1C and ANK3 gene variants as risk factors for BD and both affect cognitive function in people with BD. However, it is unclear whether there is an interaction effects between the two genes on cognitive impairment in patients. We used 153 Chinese Han Chinese patients with BD to explore the association of CACNA1C and ANK3 variants with attention and immediate memory using Plink software and and performed a epistatic interaction effects analysis. We found that CACNA1C and ANK3 gene variants respectively affected patients' scores on attention and memory tests. The significant SNP in the CACNA1C and ANK3 genes are rs73042126(P = 3.16 × 10−5,FDR = 0.0253) and rs2393640(P = 1.50 × 10−4,FDR = 0.0353) respectively. And they also interacted to affect cognitive functioning in BD patients (attention: P = 0.0289; immediate memory: P = 0.0398). Follow-up studies should increase the sample size, improve the assessment methods and experimental design, and further explore the pathogenic mechanisms of BD.

Frontal Theta Asymmetry may be a new target for reducing the severity of depression and improving cognitive function in depressed patients

BackgroundThe prevalence of depressive disorder is increasing due to a variety of factors, which brings a huge strain on individuals, families and society. This study aims to investigate whether there is Frontal Theta Asymmetry (FTA) in depressed patients, and whether FTAs are related to depression severity and cognitive function changes in depressed patients. MethodsParticipants who met the inclusion criteria were enrolled in this study. Socio-demographic data of each participant were recorded. Zung's self-rating Depression Scale was used to assess the depression status of participants. P300 was used to evaluate the cognitive function of participants. EEG data from participants were collected by the NeuroScan SynAmps RT EEG system. t-test, Wilcoxon rank-sum test and Chi-square test were used to detect the differences of different variables between the two groups. Multiple linear regression analysis and multiple logistic regression analysis were used to analyze relationships between FTAs in different regions and participants' depression status and cognitive function. ResultsA total of 66 depressed participants and 47 healthy control participants were included in this study. The theta spectral power of the left frontal lobe was slightly stronger than that of the right frontal lobe in the depression group, while the opposite was true in the healthy control group. The FTA in F3/F4 had certain effects on the emergence of depression in participants, the emergence of depression in participants and Changes in cognitive function. ConclusionsFTAs are helpful to assess the severity of depression and early identify cognitive impairment in patients with depression.