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The Consortium for the early identification of Alzheimer's disease–Quebec (CIMA-Q) created a research infrastructure to recruit, characterize, and track disease progression in individuals at risk of dementia. CIMA-Q established standardized clinical, neuropsychological, neuroimaging, blood (plasma, serum, RNA, genomic DNA), cryopreserved peripheral blood mononuclear cells, and cerebrospinal fluid collection protocols. These data and biological materials are available to the research community. In phase 1, 115 persons with subjective cognitive decline, 88 with mild cognitive impairment, 31 with early probable Alzheimer's disease, and 56 older adults with no worries nor impairments received detailed clinical and cognitive evaluations as well as blood and peripheral blood mononuclear cells collections. Among them, 142 underwent magnetic resonance imaging, 29 a 18fluorodeoxyglucose positron emission tomography, and 60 a lumbar puncture. CIMA-Q provides procedures and resources to identify early biomarkers and novel therapeutic targets, and holds promise for detecting cognitive decline in Alzheimer's disease. •Well-ascertained cohort of 290 community-dwelling elderly individuals in Quebec.•Large number of individuals with subjective cognitive decline studied longitudinally.•Clinical, neuropsychology, neuroimaging, and biomaterials available for Alzheimer's disease studies.

Introduction:Parental awareness of the earliest milestones considerably lower than of the later milestones. To raise parental awareness, Pathways Awareness’ brochure (PAB) can be used by the parents. The objective of this study was to examine the effect of health education of Pathways Awareness’ brochure to the behavior of parental early identification in child (3-15 months) early development.Methods: This study used Quasy-Experimental design. Population had taken from parents who have a child from 3 until 15  months. Sample was comprised in to 30 individuals who fit with the inclusion criteria. Sample was divided by two groups, one group as intervention group, and another one as control group. The independent variable in this study were health education of Pathways Awareness’ brochure. The dependent variable was the behavior of parental early identification in child (3-15 months) early development. Data was collected by questionnaire of family knowledge, family attitude, and family action. They were analyzed by Wilcoxon Signed Rank Test with significance level  α<0.05.Results: According to the result by Wilcoxon Signed Rank Test, there was a significance difference between the behavior of parental early identification in child (3-15 months) early development before and after the intervention ( family knowledge p = 0,003; family attitude p = 0,034; family action p = 0,025).Analysis:It conclusion, pathway awarness’  brochure foster the behavioural of the parents on early detection.Conclusion: It is recommended to explore study on cooperation of PAB and KMS.

This article describes a Response to Intervention (RTI) model of early identification and intervention to prevent reading failure. A simple screening system to alert teachers to children who may not have some of the prerequisite skills necessary for reading and a whole class intervention system will be described. The success of these initiatives was measured systematically, and the incidence of reading difficulties was reduced to 1.5% in the children who had English as a first language and in children who had English as an additional language. The article also examines the relative influence of students’ first language on learning to read in English and the benefits of bilingualism.

Cry analysis is emerging as a promising tool for early autism identification. Acoustic features such as fundamental frequency (F0), cry duration, and phonation have shown potential as early vocal biomarkers. This systematic review and meta-analysis aimed to evaluate the diagnostic value of cry characteristics and the role of Machine Learning (ML) in improving autism screening. A comprehensive search of relevant databases was conducted to identify studies examining acoustic cry features in infants with an elevated likelihood of autism. Inclusion criteria focused on retrospective and prospective studies with clear cry feature extraction methods. A meta-analysis was performed to synthesize findings, particularly focusing on differences in F0, and assessing the role of ML-based cry analysis. The review identified eleven studies with consistent acoustic markers, including F0, phonation, duration, amplitude, and voice quality, as reliable indicators of neurodevelopmental differences associated with autism. ML approaches significantly improved screening precision by capturing non-linear patterns in cry data. The meta-analysis of six studies revealed a trend toward higher F0 in autistic infants, although the pooled effect size was not statistically significant. Methodological heterogeneity and small sample sizes were notable limitations across studies. Cry analysis holds promise as a non-invasive, accessible tool for early autism screening, with ML integration enhancing its diagnostic potential. However, the findings emphasize the need for large-scale, longitudinal studies with standardized methodologies to validate its utility and ensure its applicability across diverse populations. Addressing these gaps could establish cry analysis as a cornerstone of early autism identification.

Abstract Background and Hypotheses Early identification and prevention of psychosis is limited by the availability of tools designed to assess negative symptoms in those at clinical high-risk for psychosis (CHR). To address this critical need, a multi-site study was established to develop and validate a clinical rating scale designed specifically for individuals at CHR: The Negative Symptom Inventory-Psychosis Risk (NSI-PR). Study Design The measure was developed according to guidelines recommended by the NIMH Consensus Conference on Negative Symptoms using a transparent, iterative, and data-driven process. A 16-item version of the NSI-PR was designed to have an overly inclusive set of items and lengthier interview to support the ultimate intention of creating a new briefer measure. Psychometric properties of the 16-item NSI-PR were evaluated in a sample of 218 CHR participants. Study Results Item-level analyses indicated that men had higher scores than women. Reliability analyses supported internal consistency, inter-rater agreement, and temporal stability. Associations with measures of negative symptoms and functioning supported convergent validity. Small correlations with positive, disorganized, and general symptoms supported discriminant validity. Structural analyses indicated a 5-factor structure (anhedonia, avolition, asociality, alogia, and blunted affect). Item response theory identified items for removal and indicated that the anchor range could be reduced. Factor loadings, item-level correlations, item-total correlations, and skew further supported removal of certain items. Conclusions These findings support the psychometric properties of the NSI-PR and guided the creation of a new 11-item NSI-PR that will be validated in the next phase of this multi-site scale development project.

Abstract Introduction Trials in Alzheimer's disease are increasingly focusing on prevention in asymptomatic individuals. We hypothesized that indicators of mild cognitive impairment (MCI) may be present in the content of spoken language in older adults and be useful in distinguishing those with MCI from those who are cognitively intact. To test this hypothesis, we performed linguistic analyses of spoken words in participants with MCI and those with intact cognition participating in a clinical trial. Methods Data came from a randomized controlled behavioral clinical trial to examine the effect of unstructured conversation on cognitive function among older adults with either normal cognition or MCI ( ClinicalTrials.gov : NCT01571427 ). Unstructured conversations (but with standardized preselected topics across subjects) were recorded between interviewers and interviewees during the intervention sessions of the trial from 14 MCI and 27 cognitively intact participants. From the transcription of interviewees recordings, we grouped spoken words using Linguistic Inquiry and Word Count (LIWC), a structured table of words, which categorizes 2500 words into 68 different word subcategories such as positive and negative words, fillers, and physical states. The number of words in each LIWC word subcategory constructed a vector of 68 dimensions representing the linguistic features of each subject. We used support vector machine and random forest classifiers to distinguish MCI from cognitively intact participants. Results MCI participants were distinguished from those with intact cognition using linguistic features obtained by LIWC with 84% classification accuracy which is well above chance 60%. Discussion Linguistic analyses of spoken language may be a powerful tool in distinguishing MCI subjects from those with intact cognition. Further studies to assess whether spoken language derived measures could detect changes in cognitive functions in clinical trials are warrented.

This study examined predictors of access to early support amongst families of 0-6-year-old children with suspected or diagnosed developmental disabilities in the United Kingdom. Using survey data from 673 families, multiple regression models were fitted for three outcomes: intervention access, access to early support sources, and unmet need for early support sources. Developmental disability diagnosis and caregiver educational level were associated with intervention access and early support access. Early support access was also associated with child physical health, adaptive skills, caregiver ethnicity, informal support, and statutory statement of special educational needs. Unmet need for early support was associated with economic deprivation, the number of household caregivers, and informal support. Multiple factors influence access to early support. Key implications include enhancing processes for formal identification of need, addressing socioeconomic disparities (e.g., reducing inequalities, increasing funding for services), and providing more accessible services (e.g., coordinating support across services, flexible service provision).

The goal of the present study was to compare profiles among Black families of autistic youth who were identified Early (≤ 2 years of age), Mid (age 3 or 4), and Delayed (≥ 5 years of age) to better identify the characteristics that contribute to early ASD identification and delayed ASD identification. Black caregivers with autistic youth ( N  = 101) were divided into Early ( N  = 34), Mid ( N  = 39), and Delayed ( N  = 28) groups and compared on (a) the age at which signs of autism signs were first noticed, (b) wait times, (c) previous misdiagnoses rates, and (d) racial barriers experienced during the diagnostic process. The results revealed differences between the diagnostic profiles. Specifically, (a) Delayed families noticed the first signs of autism significantly later, (b) Early families had significantly smaller wait times between age of noticing signs of autism and age of receiving the diagnosis, (c) the odds of receiving a later or delayed autism diagnosis was nearly three times higher for caregivers who reported receiving a misdiagnosis, and (d) there were no significant differences in racial barriers experienced between Early, Mid, and Delayed families. Challenges in receiving a timely diagnosis remain for some Black autistic youth. To improve early identification for Black autistic youth who are at risk for receiving delayed diagnostic care, further research should examine factors and practices that improve autism knowledge among professionals and caregivers, enhance assessment practices, and integrate culturally responsive practices into assessment and screening procedures.

National Surveys of Children’s Health (NSCH, 2016–2018) data were analyzed to determine if conjoint monitoring and screening showed stronger associations with children under 5 identified with ASD compared to monitoring alone, screening alone or no monitoring or screening; and investigate relationships between monitoring and screening across racial/ethnic subgroups. 86 of 332 children with ASD received their diagnosis in a timeframe suggesting potential monitoring and screening for identification purposes. Analyses showed that conjoint monitoring and screening and monitoring alone, but not screening alone, was associated with early identified ASD cases across race groups. Caution is warranted as interpreting NSCH monitoring and screening items solely for identification purposes is inaccurate in many cases. More research on monitoring with screening is needed.

In this paper, we use the small baseline set technology and the early geological hazard identification method based on the selection of Permanent Scatter (PS) and Distributed Scatter (DS) points to carry out the research on surface deformation monitoring caused by underground activities in mining cluster areas. We adopted the Small Baseline Subset InSAR (SBAS-InSAR) technique to process Sentinel-1A SAR images over the research area from March 2017 to May 2021. The deformation estimation technology based on the robustness of PS points and DS points can be used for early identification of high-density surface subsidence in a large area of mines. The surface subsidence information can be obtained quickly and accurately, and the advantages of using InSAR technology to monitor long-time surface subsidence in complex mining cluster areas was explored in this study. By comparing the monitoring data of the Global Navigation Satellite System (GNSS) ground monitoring equipment, the accuracy error of large-scale surface settlement information is controlled within 8 mm, which has high accuracy. Meanwhile, according to the spatial characteristics of cluster mining areas, it is analyzed that the relationship between adjacent mining areas through groundwater easily leads to regional associated large-area settlement changes. Compared with the D-InSAR (Differential InSAR) technology applied in mine monitoring at the early stage, this proposed method can monitor a large range of long time series and optimize the problem of decoherence to some extent in mining cluster areas. It has important reference significance for early monitoring and early warning of subsidence disaster evolution in mining intensive areas.