Impact of respiratory viral infections during pregnancy on the neurological outcomes of the newborn: current knowledge DOI Creative Commons
Sara Manti,

Giulia Spoto,

Antonio Gennaro Nicotera

et al.

Frontiers in Neuroscience, Journal Year: 2024, Volume and Issue: 17

Published: Jan. 8, 2024

Brain development is a complex process that begins during pregnancy, and the events occurring this sensitive period can affect offspring's neurodevelopmental outcomes. Respiratory viral infections are frequently reported in pregnant women, and, last few decades, they have been related to numerous neuropsychiatric sequelae. viruses disrupt brain by directly invading fetal circulation through vertical transmission or inducing neuroinflammation maternal immune activation production of inflammatory cytokines. Influenza virus gestational infection has consistently associated with psychotic disorders, such as schizophrenia autism spectrum disorder, while recent pandemic raised some concerns regarding effects severe acute respiratory syndrome coronavirus 2 on outcomes children born affected mothers. In addition, emerging evidence supports possible role syncytial risk factor for adverse consequences. Understanding mechanisms underlying developmental dysfunction allows improving preventive strategies, early diagnosis, prompt interventions.

Language: Английский

Transtorno do Espectro do Autismo DOI Open Access

ANDRÉA APARECIDA FRANCISCO VITAL,

ALINE HELEN CORRÊA GARCIA,

ANA PAULA DOS SANTOS

et al.

Published: Dec. 8, 2021

Intervenções baseadas no antecedente (ABI)Organização de eventos ou circunstâncias que precedem atividade demanda, a fim aumentar ocorrência comportamentos levar redução dos desafiadores/ inadequados.

Citations

86
Early Motor Signs in Autism Spectrum Disorder DOI Creative Commons
Annio Posar, Paola Visconti

Children, Journal Year: 2022, Volume and Issue: 9(2), P. 294 - 294

Published: Feb. 21, 2022

A growing number of literature data suggest the presence early impairments in motor development children with autism spectrum disorder, which could be often recognized even before appearance classical social communication deficits autism. In this narrative review, we aimed at performing an update about available on function disorder. Early impairment these can manifest itself both as a mere delay and atypicalities function, such higher rate larger inventory, stereotyped movements without objects. perspective timely diagnosis, signs important clue, especially individual considered high risk for Motor (both verbal non-verbal) skills are connected pathogenetic role dysfunctions hypothesized. From this, derives importance enabling intervention improving skills, also have favorable effects other aspects development.

Language: Английский

Citations

43
Advancing ASD detection: novel approach integrating attention graph neural networks and crossover boosted meerkat optimization DOI
Lipika Goel, Sonam Gupta, Avdhesh Gupta

et al.

International Journal of Machine Learning and Cybernetics, Journal Year: 2024, Volume and Issue: 15(8), P. 3279 - 3297

Published: Feb. 8, 2024

Language: Английский

Citations

11
Intelligence Sparse Sensor Network for Automatic Early Evaluation of General Movements in Infants DOI Creative Commons
Benkun Bao, Senhao Zhang,

Honghua Li

et al.

Advanced Science, Journal Year: 2024, Volume and Issue: 11(19)

Published: March 6, 2024

Abstract General movements (GMs) have been widely used for the early clinical evaluation of infant brain development, allowing immediate potential development disorders and timely rehabilitation. The infants’ general can be captured digitally, but lack quantitative assessment well‐trained pediatricians presents an obstacle many years to achieve wider deployment, especially in low‐resource settings. There is a high explore wearable sensors movement analysis due outstanding privacy, low cost, easy‐to‐use features. This work sparse sensor network with soft wireless IMU devices (SWDs) automatic infants. consisting only five nodes robust mechanical properties excellent biocompatibility continuously stably captures full‐body motion data. proof‐of‐the‐concept testing 23 infants showcases performance recognizing neonatal activities, confirming reliability system. Taken together tiny machine learning algorithm, system automatically identify risky based on GMs, accuracy up 100% (99.9%). artificial intelligence‐based algorithm facilitates intelligent diagnosis disorders.

Language: Английский

Citations

9
Ethical and Practical Considerations of Artificial Intelligence in Pediatric Medicine: A Systematic Review DOI Open Access

Hisham Naeem Jamil Abusamra,

Soegianto Ali,

Wala Ahmed Khidir Elhussien

et al.

Cureus, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 14, 2025

Artificial intelligence (AI) is rapidly transforming various industries, including pediatric medicine, raising both ethical and practical considerations in its implementation. AI also being utilized more care across a number of subspecialties. However, major challenges still stand the way implementation AI. The purpose this systematic review was to evaluate consideration field medicine. We searched five different databases (Scopus, Web Science, PubMed/MEDLINE, EMBASE, IEEE Xplore) for relevant studies include review. On these databases, we found 524 studies, which were retrieved EndNote X6.0.1 software, where 207 removed as duplicates, rest assessed eligibility with exclusion inclusion criteria. Twenty eligible included study. In artificial causing disruption now linked opportunities, problems, demand explainability. shouldn't be seen replacement human judgment experience but rather tool improve support healthcare decision-making. Therefore, order guarantee that research findings are generalizable, future should concentrate on gathering complete data.

Language: Английский

Citations

1
The diagnostic journey of genetically defined neurodevelopmental disorders DOI Creative Commons
Juliana Simon, Carly Hyde, Vidya Saravanapandian

et al.

Journal of Neurodevelopmental Disorders, Journal Year: 2022, Volume and Issue: 14(1)

Published: May 2, 2022

Abstract Background The development of advanced genetic technologies has resulted in rapid identification etiologies neurodevelopmental disorders (NDDs) and transformed the classification diagnosis various NDDs. However, diagnostic genetics far outpaced our ability to provide timely medical counseling, guidance, care for patients with genetically defined These their caregivers present an unmet need coordination across multiple domains including medical, developmental, psychiatric educational resources guidance from professionals. After a is made, families also face several barriers access informed evaluations support. Methods As part Care Research Neurogenetics (CARING), multidisciplinary clinical program children adults neurogenetic disorders, we conducted qualitative interviews about journey families. This included overall timeline receiving diagnoses, experiences before after diagnosis, care, that helped them navigate process. Results A total 37 were parents ages 16 months 33 years. Several key themes identified: (1) delays between initial caregiver observations formal developmental or diagnoses; (2) practical evaluation long wait times appointment, lack insurance coverage, availability local evaluations, transportation difficulties, native language differences; (3) importance being patient advocacy group help journey; (4) unique challenges faced by (18 years older). Conclusions Families complex disabilities numerous finding adequate services child. They experience considerable diagnoses significant further delay process needed child’s continued care. gaps indicated this study speak more comprehensive intellectual disabilities, as well systematic, disorder-specific both providers order improve outcomes.

Language: Английский

Citations

33
Video-Based Automatic Baby Motion Analysis for Early Neurological Disorder Diagnosis: State of the Art and Future Directions DOI Creative Commons
Marco Leo, Giuseppe Massimo Bernava, Pierluigi Carcagnì

et al.

Sensors, Journal Year: 2022, Volume and Issue: 22(3), P. 866 - 866

Published: Jan. 24, 2022

Neurodevelopmental disorders (NDD) are impairments of the growth and development brain and/or central nervous system. In light clinical findings on early diagnosis NDD prompted by recent advances in hardware software technologies, several researchers tried to introduce automatic systems analyse baby's movement, even cribs. Traditional technologies for baby motion analysis leverage contact sensors. Alternatively, remotely acquired video data (e.g., RGB or depth) can be used, with without active/passive markers positioned body. Markerless approaches easier set up maintain (without any human intervention) they work well non-collaborative users, making them most suitable applications involving children. On other hand, require complex computational strategies extracting knowledge from data, then, strongly depend computer vision machine learning, which among expanding areas research. As a consequence, also markerless video-based movements children has been rapidly but, best our knowledge, there is not yet survey paper providing broad overview how scientific developments impacted it. This tries fill this gap it lists specifically designed acquisition tools publicly available datasets as well. Besides, gives glimpse promising techniques vision, learning pattern recognition could profitably exploited videos.

Language: Английский

Citations

31
Emerging signs of autism spectrum disorder in infancy: Putative neural substrate DOI
Mijna Hadders‐Algra

Developmental Medicine & Child Neurology, Journal Year: 2022, Volume and Issue: 64(11), P. 1344 - 1350

Published: July 8, 2022

Autism spectrum disorder (ASD) is characterized by altered development of the social brain with prominent atypical features in fronto-temporo-parietal cortex and cerebellum. Early signs ASD emerge between 6 12 months: reduced communication, slightly less advanced motor development, repetitive behaviour. The cerebellum play a role whereas fronto-parietal-cerebellar networks are involved planning movements, that is, movement selection. Atypical sensory responsivity, core feature ASD, may result impaired communication skills and/or selection In first postnatal year, areas gradual dissolution temporary structures: cortical subplate cerebellar external granular layer. It hypothesized transient structures opens window for expression early arising developing permanent networks. WHAT THIS PAPER ADDS: autism ages months. Altered underlie emergence these signs.

Language: Английский

Citations

30
Intelligent wearable allows out-of-the-lab tracking of developing motor abilities in infants DOI Creative Commons
Manu Airaksinen, Anastasia Gallen,

Anna Kivi

et al.

Communications Medicine, Journal Year: 2022, Volume and Issue: 2(1)

Published: June 15, 2022

Abstract Background Early neurodevelopmental care needs better, effective and objective solutions for assessing infants’ motor abilities. Novel wearable technology opens possibilities characterizing spontaneous movement behavior. This work seeks to construct validate a generalizable, scalable, method measure abilities across all milestones from lying supine fluent walking. Methods A multi-sensor infant was constructed, 59 infants (age 5–19 months) were recorded during their play. novel gross description scheme used human visual classification of postures movements at second-level time resolution. deep learning -based classifier then trained mimic annotations, aggregated recording-level outputs provide posture- movement-specific developmental trajectories, which enabled more holistic assessments maturity. Results Recordings technically successful in infants, the algorithmic analysis showed human-equivalent-level accuracy quantifying observed movements. The recordings train an algorithm predicting measure, Baba Infant Motor Score (BIMS). index estimates maturity abilities, it correlates very strongly (Pearson’s r = 0.89, p < 1e-20) chronological age infant. Conclusions results show that out-of-hospital assessment ability is possible using wearable. provides metrics motility are transparent, objective, intuitively interpretable, they link age. Such solution could be automated scaled global extent, holding promise functional benchmarking individualized patient or early intervention trials.

Language: Английский

Citations

29
The Efficacy of Early Interventions for Children with Autism Spectrum Disorders: A Systematic Review and Meta-Analysis DOI Open Access

Sofia Daniolou,

Nikolaos Pandis, Hansjörg Znoj

et al.

Journal of Clinical Medicine, Journal Year: 2022, Volume and Issue: 11(17), P. 5100 - 5100

Published: Aug. 30, 2022

The superiority of early interventions for children with autism spectrum disorders (ASDs) compared to treatment as usual (TAU) has recently been questioned. This study was aimed investigate the efficacy in improving cognitive ability, language, and adaptive behavior pre-school ASDs through a systematic review randomized controlled trials (RCTs). In total, 33 RCTs were included meta-analysis using random effects model. total sample consisted 2581 (age range: 12-132 months). Early led positive outcomes ability (

Language: Английский

Citations

29