Active clinical trials for "Cognitive Dysfunction"

Early cognitive assessment of critically-ill acute respiratory distress syndrome (ARDS) patients with delirium using a multidimensional electrophysiological evaluation battery (mEEG) to identify and characterize the neural correlates of cognitive dysfunctions associated with delirium (vigilance, attention, semantic and lexical processing, self-processing), and to develop a prognostic evaluation of neurocognitive and psychological disorders using an innovative non-behavioral approach.

Alzheimer's disease (AD) is the most common dementia and has been one of the most expensive diseases with the highest lethality. With the rapid increase of the aging population, more and more burdens will be posed on society and economics. The manifestations of AD are the progressive loss of memory, language and visuospatial function, executive and daily living abilities, and so forth. The Pathophysiological changes of AD occur 10-20 years before the clinical symptoms, while there is still a lack of effective strategy for early diagnosis. Mild cognitive impairment (MCI) is considered to be a transitional state between healthy aging and the clinical diagnosis of dementia and has received increasing attention as a separate diagnostic entity. To make the diagnosis, doctors ought to compressively consider the multimodal medical information including clinical symptoms, neuroimages, neuropsychological tests, laboratory examinations, etc. Multimodal deep learning has risen to this challenge， which could integrate the various modalities of biological information and capture the relationships among them contributing to higher accuracy and efficiency. It has been widely applied in imaging, tumor pathology, genomics, etc. Recently, the studies on AD based on deep learning still mainly focused on multimodal neuroimaging, while multimodal medical information requires comprehensive integration and intellectual analysis. Moreover, studies reveal that some imperceptible symptoms in MCI and the early stage of AD may also play an effective role in diagnosis and assessment, such as gait disorder, facial expression identification dysfunction, and speech and language impairment. However, doctors could hardly detect the slight and complex changes, which could rely on the full mining of the video and audio information by multimodal deep learning. In conclusion, we aim to explore the features of gait disorder, facial expression identification dysfunction, and speech and language impairment in MCI and AD, and analyze their diagnostic efficiency. We would identify the different degrees of dependency on multimodal medical information in diagnosis and finally build an optimal multimodal diagnostic method utilizing the most convenient and economical information. Besides, based on follow-up observations on the changes in multimodal medical information with the progress of AD and MCI, we expect to establish an effective and convenient diagnostic strategy.

The objective of this study is to assess motor and social interaction changes after AOT intervention in patients with mild cognitive impairment and Moderate cognitive impairment. The planned sample size is 11 pairs in the experimental group and 11 pairs in the control group. Each group will be composed of eleven subjects with moderate cognitive impairment (MCI) and eleven with mild cognitive impairment (MCI), assessed by the minimental test. During the sessions, the MCI patient will observe his MCI partner and perform a programme of motor activities for the upper limb. At the same time the mild patient imitates the movement performed by the physiotherapist, all based on the AOT. The activities will be based on items of the FUGL-MEYER scale. Data will be collected at the functional level, with respect to motor changes and also social modifications that have been perceived by the participants, carers and therapists. The variables considered in this study are, as primary variables, motor changes, using the Fugl-Meyer scale, and perception with respect to social interaction; as well as mood. The latter two will be collected through interviews with patients, caregivers and therapists. The impact on patient independence (Barthel index score) will also be considered. Finally, data will be analysed using SPSS statistical software. Non-parametric tests for related samples will be used in order to study changes in the variables collected before and after the intervention. The sample will be recruited from the old people's home "Nuestra Señora de la Soledad" in Parla, Madrid (collaboration agreement attached) depending on whether or not they meet the inclusion criteria.

The pathophysiology of postoperative cognitive dysfunction (POCD) following surgery may be related to Alzheimer's disease. Different studies show that; low levels of glial cell line-derived growth factor are found in both POCD and Alzheimer, and brain cholinergic markers like Choline acetyl transferase activity, High affinity choline uptake activity, and Acetil Choline (Ach) activity are decreased in Alzheimer disease.We know cholinergic inputs in the basal forebrain have a critical role in many other functions including memory, attention, arousal and sensory processing. Cholinergic neuron located basal section of forebrain degenerate extensively in Alzheimer disease which shares similarities with postoperative delirium and POCD. Ach binds to two well-known receptors in brain that are Nicotinic receptors which implicate several important functions such as "memory, learning, arousal and reward" and Muscarinic receptors which are widely distributed in forebrain and play an important role of development delirium and POCD. Dysfunction of cholinergic system may be one key aspect of postoperative DELIRIUM, POCD and ALZHEIMER disease. In this investigation; we would like to evaluate the relationship between genes encoding inflammation-related mediators detected in postoperative cognitive dysfunction and gene variants in Alzheimer's disease in a larger panel for elder patients undergoing major urologic surgery. Therefore our study will focus on demographic information of the patients (age, gender, comorbidity), neurocognitive tests (1 week before the surgery, postoperative 1st week and postoperative 3rd month), intraoperative data (mean arterial pressure, heart rate, need for inotrope, duration of mechanical ventilation, need for transfusion), and biochemical tests (Preoperative and postoperative blood samples for each patient) which are APOE, phosphatidylinositol-binding clathrin assembly protein, CR1 - complement receptor 1, ATP-binding cassette transporter, IL6, TREM.

The aim of the study is the development and scientific substantiation of the effectiveness and safety of multimodal rehabilitation technology using innovative digital technologies, biofeedback (BFB), virtual reality (VR), neurointerface for the restoration of stato-locomotor disorders, neuromuscular control of upper limb movements and cognitive functions in patients with ischemic stroke (IS) in different recovery periods with rehabilitation risks control in outpatient clinic.

This study will investigate the feasibility of implementing a time-restricted eating intervention in females with mild cognitive impairment. Targeted therapeutic interventions that improve cognitive impairment and delay onset of ADRD are particularly important for females, who have twice the lifetime risk of developing AD, compared to males.

This is a single site, pilot randomized, double blinded control trial designed to assess changes in cognitive symptoms in cancer survivors with cancer-related cognitive impairment. Patients will be randomized into one of two Arms: Intervention or Control. Arm A: Intervention Group: Use of the THOR LED Photobiomodulation helmet 3x per week for 6 weeks. Helmet will be in 'therapeutic setting', 35mW/cm2 = 42J/cm2 Arm B: Control Group: Use of the THOR LED Photobiomodulation helmet 3x per week for 6 weeks. Helmet will be in 'placebo setting', 0mW/cm2 = 0J/cm2 This study has been designed to assess the hypothesis that Photobiomodulation can have a positive impact on cognitive symptoms in cancer survivors with cancer-related cognitive impairment. 30 participants will be recruited for this study, 15 per group. Self-report questionnaires assessing cognitive concerns, cognitive abilities, quality of life, depression, and anxiety will be administered at three timepoints through the study Baseline, End of Study Visit and 1 Month Follow Up

Alcohol Use Disorders (AUDs) have a significant public health impact and are highly prevalent in Veterans. Alcohol related brain effects on neurocognition (attention, memory and executive function) reduce ability to benefit from current treatments. These cognitive impairments are especially common in the early phase of recovery, persist over years and get worse with age. Recent research suggests that cognitive remediation therapy (CRT) may improve attention, memory and executive function in other disorders, and the investigators just completed pilot study with AUD Veterans found significantly greater improvements for those receiving CRT. The proposed study examines AUD outcomes and neurocognitive improvements when CRT is combined with a standardized alcohol treatment. The investigators hypothesize that CRT will improve neurocognition and AUD outcomes more than standardized alcohol treatment alone. Findings will determine whether CRT augmentation can benefit Veterans with AUDs.

The purpose of this research is to examine the effects of four interventions on age-related cognitive decline in healthy older adults. The investigators will examine the effects of Mindfulness Based Stress Reduction (MBSR) psychotherapy, multi-component intensity-based aerobic exercise, and their combination, compared to a discussion group.

The daily routine in clinical settings often showed cognitive impairments in patients with congestive heart failure, particularly in terms of executive functions, episodic memory, perceptual speed and attention. It is assumed that cognitive impairments in patients with congestive heart failure may lead to deficits in medication-adherence and self-care abilities, resulting in increased healthcare costs. Recent studies reported performance improvements after cognitive training that transferred to new, untrained tasks and abilities in healthy subjects across a wide range of ages. This study investigates the effects of cognitive training in patients with congestive heart failure.