The Transmitter, Год журнала: 2023, Номер unknown
Опубликована: Янв. 1, 2023
Язык: Английский
American Journal of Psychiatry, Год журнала: 2024, Номер 181(6), С. 553 - 562
Опубликована: Март 13, 2024
Objective: A large body of functional MRI research has examined a potential role for subcortico-cortical loops in the pathogenesis attention deficit hyperactivity disorder (ADHD), but produced inconsistent findings. The authors performed mega-analysis six neuroimaging data sets to examine associations between ADHD diagnosis and traits connectivity. Methods: Group differences were connectivity four subcortical seeds 1,696 youths with diagnoses (66.39% males; mean age, 10.83 years [SD=2.17]) 6,737 unaffected control subjects (47.05% 10.33 [SD=1.30]). (total N=9,890; 50.3% 10.77 [SD=1.96]). Sensitivity analyses used specificity relative commonly comorbid internalizing non-ADHD externalizing problems. further results within motion-matched subsamples, after adjusting estimated intelligence. Results: In group comparison, showed greater striatal temporal, fronto-insular, supplementary motor regions, as well amygdala dorsal anterior cingulate cortex, compared subjects. Similar findings emerged when considered alternative seed definitions adopted. Dominant centered on caudate bilaterally. Findings not driven by in-scanner motion shared Effect sizes small (largest peak d, 0.15). Conclusions: from this large-scale support established links circuits, which robust confounders. However, effect small, it seems likely that resting-state can capture only fraction complex pathophysiology ADHD.
Язык: Английский
Процитировано
14
Deleted Journal, Год журнала: 2025, Номер 4(1)
Опубликована: Янв. 1, 2025
Mental health disorders (MHDs) have significant medical and financial impacts on patients society. Despite the potential opportunities for artificial intelligence (AI) in mental field, there are no noticeable roles of these systems real environments. The main reason limitations is lack trust by domain experts decisions AI-based systems. Recently, trustworthy AI (TAI) guidelines been proposed to support building responsible (RAI) that robust, fair, transparent. This review aims investigate literature TAI machine learning (ML) deep (DL) architectures MHD domain. To best our knowledge, this first study analyzes trustworthiness ML DL models identifies advances RAI investigates how related current applicability We discover has severe compared other domains regarding standards implementations. discuss suggest possible future research directions could handle challenges.
Язык: Английский
Процитировано
2
JCPP Advances, Год журнала: 2023, Номер 3(2)
Опубликована: Март 16, 2023
attention-deficit/hyperactivity disorder (ADHD) is associated with both polygenic liability and environmental exposures, intrinsic to the family, such as family conflict, extrinsic, air pollution. However, much less known about interplay between genetic risks relevant ADHD-a better understanding of which could inform mechanistic models clinical prediction algorithms.
Язык: Английский
Процитировано
11
Imaging Neuroscience, Год журнала: 2025, Номер 3
Опубликована: Янв. 1, 2025
Abstract Normative models of brain structure estimate the effects covariates such as age and sex using large samples healthy controls. These can then be applied to, for example, smaller clinical cohorts to distinguish disease from other covariates. However, these advanced statistical modelling approaches difficult access, processing is computationally demanding. Thus, accessible platforms with pre-trained normative are needed. We present a platform morphology analysis an open-source web application https://cnnplab.shinyapps.io/BrainMoNoCle/, six key features: (i) user-friendly interface, (ii) individual group outputs, (iii) multi-site analysis, (iv) regional whole-brain (v) integration existing tools, (vi) featuring multiple metrics. Using diverse sample 3,276 controls across 21 sites, we on various validated small individuals bipolar disorder, showing outputs that aligned closely literature only after applying our modelling. cohort people temporal lobe epilepsy, showed individual-level abnormalities were in line seizure lateralisation. Finally, ability investigate measures same framework, found biological better explained specific measures, applications, some sensitive process. Our offers comprehensive framework analyse research settings. Validations confirm superiority advantage investigating range metrics together.
Язык: Английский
Процитировано
0
Psychiatry Research, Год журнала: 2025, Номер 345, С. 116373 - 116373
Опубликована: Янв. 20, 2025
Язык: Английский
Процитировано
0
Nature Mental Health, Год журнала: 2025, Номер unknown
Опубликована: Май 19, 2025
Язык: Английский
Процитировано
0
Research on Child and Adolescent Psychopathology, Год журнала: 2024, Номер 52(11), С. 1663 - 1676
Опубликована: Июнь 20, 2024
Язык: Английский
Процитировано
2
Research on Child and Adolescent Psychopathology, Год журнала: 2023, Номер 52(4), С. 605 - 620
Опубликована: Окт. 16, 2023
Язык: Английский
Процитировано
4
Journal of Neuroscience Research, Год журнала: 2023, Номер 102(1)
Опубликована: Дек. 12, 2023
Abstract In this study, we explored the application of diffusion kurtosis imaging (DKI) technology in brains children with attention‐deficit/hyperactivity disorder (ADHD). Seventy‐two ADHD and 79 age‐ sex‐matched healthy controls were included study. All examined by means 3D T1‐weighted image, DKI, conventional sequence scanning. The volume DKI parameters each brain region obtained software postprocessing (GE ADW 4.6 workstation) compared between two groups to determine characteristics ADHD. result showed total was lower than ( p < .05). gray white matter volumes frontal lobe, temporal hippocampus, caudate nucleus, putamen, globus pallidus, other regions axial (Ka), mean (MK), fractional anisotropy (FA), radial kurtosis(Kr) values nucleus those children, while diffusivity(MD) (FAK) higher Additionally, Ka, MK, FA, Kr lobe could be used distinguish (AUC > .05, conclusion, abnormal development some
Язык: Английский
Процитировано
3
The Transmitter, Год журнала: 2023, Номер unknown
Опубликована: Янв. 1, 2023
Язык: Английский
Процитировано
0