8 Clinical Trials for Various Conditions
The goal of this clinical trial is two-fold. First to investigate the feasibility of whether a remotely administered smartphone app can increase the volume and intensity of physical activity in daily life in individuals with a LRRK2 G2019S or GBA1 N370S genetic mutation over a long period of time (24 months). Second, to explore the preliminary efficacy of exercise on markers for prodromal Parkinson's disease progression in individuals with a LRRK2 G2019S or GBA1 N370S genetic mutation. Participants will be tasked to achieve an incremental increase of daily steps (volume) and amount of minutes exercised at a certain heart rate (intensity) with respect to their own baseline level. Motivation with regards to physical activity will entirely be communicated through the study specific Slow Speed smartphone app. A joint primary objective consists of two components. First to determine the longitudinal effect of an exercise intervention in LRRK2 G2019S or GBA1 N370S variant carriers on a prodromal load score, comprised of digital biomarkers of prodromal symptoms. The secondary component of the primary outcome is to determine the feasibility of a remote intervention study. The secondary objective is the effect of a physical activity intervention on digital markers of physical fitness. Exploratory outcomes entail retention rate, completeness of remote digital biomarker assessments, digital prodromal motor and non-motor features of PD. Using these biomarkers, the investigators aim to develop a composite score (prodromal load score) to estimate the total prodromal load. An international exercise study with fellow researchers in the United Kingdom are currently in preparation (Slow-SPEED-UK) and active in the Netherlands (Slow-SPEED-NL). Our intention is to analyse overlapping outcomes combined where possible through a meta-analysis plan, to obtain insight on (determinants of) heterogeneity in compliance and possible efficacy across subgroups
Community-based treatments for adolescents at risk for psychosis are not widely available, nor are there established, gold-standard psychosocial group interventions for this population. The HOPE TEAM, Helping Overcome Prodromal Experiences through Treatment and Evaluation of Adolescent Minds (PI: Bachman; funded by The Pittsburgh Foundation) is an early detection and intervention program for youth at clinical high risk for psychosis which aims to help them by engaging existing community resources, providing assessment, and offering trauma-informed psychotherapy. Embedded within the Family Care Connection Center at Turtle Creek, the HOPE TEAM offers individual psychotherapy as part of its clinical service model. The present study seeks to evaluate, in a small and preliminary sample (n = 20), the feasibility and effectiveness of a 24-week Cognitive-Behavioral Social Skills Therapy (CBSST) group intervention for CHR adolescents who are part of the HOPE TEAM. To that end, the current proposal will seek to conduct brief research assessments to assess the group members' perceptions of the group's utility, as well as their current clinical symptoms and functioning prior to, during, and after participating in this group. The goals of this pilot project are to 1) identify which aspects of the group perceived to be most and least helpful by participating adolescents, and 2) evaluate whether participation in the group meaningfully improves participants' clinical symptoms and functioning. The investigators aim to use these pilot data to guide future selection of treatment targets in this clinical practice, and to identify future strategies for increasing satisfaction and retention in community-based group interventions for CHR adolescents.
The purpose of this study is to evaluate the safety, tolerability, PK, and efficacy of Pepinemab in subjects with late prodromal and early manifest Huntington's disease.
This study will enroll participants with idiopathic REM sleep behavior disorder (RBD) and healthy controls for the purpose of preparing for a clinical trial of neuroprotective treatments against synucleinopathies.
The primary objective of the study is to evaluate whether a set of algorithms analysing acoustic and linguistic patterns of speech, can predict change in Preclinical Alzheimer's Clinical Composite with semantic processing (PACC5) between baseline and +12 month follow up across all four Arms, as measured by the coefficient of individual agreement (CIA) between the change in PACC5 and the corresponding regression model, trained on baseline speech data to predict it. Secondary objectives include (1) evaluating whether similar algorithms can predict change in PACC5 between baseline and +12 month follow up in the cognitively normal (CN) and MCI populations separately; (2) evaluating whether similar algorithms trained to regress against PACC5 scores at baseline, still regress significantly against PACC5 scores at +12 month follow-up, as measured by the coefficient of individual agreement (CIA) between the PACC5 composite at +12 months and the regression model, trained on baseline speech data to predict PACC5 scores at baseline; (3) evaluating whether similar algorithms can classify converters vs non-converters in the cognitively normal Arms (Arm 3 + 4), and fast vs slow decliners in the MCI Arms (Arm 1 + 2), as measured by the Area Under the Curve (AUC) of the receiver operating characteristic curve, sensitivity, specificity and Cohen's kappa of the corresponding binary classifiers. Secondary objectives include the objectives above, but using time points of +24 months and +36 months; and finally to evaluate whether the model performance for the objectives and outcomes above improved if the model has access to speech data at 1 week, 1 month, and 3 month timepoints.
The primary objective of the study is to evaluate whether a set of algorithms analysing acoustic and linguistic patterns of speech can detect amyloid-specific cognitive impairment in early stage Alzheimer's disease, based on archival spoken or written language samples, as measured by the area under the curve (AUC) of the receiver operating characteristic curve of the binary classifier distinguishing between amyloid positive and amyloid negative arms. Secondary objectives include (1) evaluating how many years before diagnosis of Mild Cognitive Impairment (MCI) such algorithms work, as measured on binary classifier performance of the classifiers trained to classify MCI vs cognitively normal (CN) arms using archival material from the following time bins before MCI diagnosis: 0-5 years, 5-10 years, 10-15 years, 15-20 years, 20-25 years; (2) evaluating at what age such algorithms can detect later amyloid positivity, as measured on binary classifier performance of the classifiers trained to classify amyloid positive vs amyloid negative arms using archival material from the following age bins: younger than 50, 50-55, 55-60, 65-70, 70-75 years old.
The primary objective of the study is to evaluate whether a set of algorithms analysing acoustic and linguistic patterns of speech can detect amyloid-specific cognitive impairment in early stage Alzheimer's disease, as measured by the AUC of the receiver operating characteristic (ROC) curve of the binary classifier distinguishing between amyloid positive (Arms 1 and 3) and amyloid negative (Arms 2 and 4) Arms. Secondary objectives include (1) evaluating whether similar algorithms can detect amyloid-specific cognitive impairment in the cognitively normal (CN) and MCI Arms respectively, as measured on binary classifier performance; (2) whether they can detect MCI, as measured on binary classifier performance (AUC, sensitivity, specificity, Cohen's kappa), and the agreement between the PACC5 composite and the corresponding regression model predicting it in all Arms pooled (Wilcoxon signed-rank test, CIA); (3) evaluating variables that can impact performance of such algorithms of covariates from the speaker (age, gender, education level) and environment (measures of acoustic quality).
This is a global Phase III, randomized, double-blinded, placebo-controlled study for subjects with evidence of early AD. The protocol is designed to determine whether ALZT-OP1 combination treatment (ALZT-OP1a + ALZT-OP1b) will slow down, arrests, or reverse cognitive and functional decline, in subjects with evidence of early stage Alzheimer's disease (AD).