Towards a brain‐based predictome of mental illness
Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …
recent years and have deepened our understanding of both cognitively healthy and …
[HTML][HTML] Machine learning in attention-deficit/hyperactivity disorder: new approaches toward understanding the neural mechanisms
Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent and heterogeneous
neurodevelopmental disorder in children and has a high chance of persisting in adulthood …
neurodevelopmental disorder in children and has a high chance of persisting in adulthood …
Individual differences v. the average patient: mapping the heterogeneity in ADHD using normative models
BackgroundThe present paper presents a fundamentally novel approach to model individual
differences of persons with the same biologically heterogeneous mental disorder. Unlike …
differences of persons with the same biologically heterogeneous mental disorder. Unlike …
Evaluation of risk of bias in neuroimaging-based artificial intelligence models for psychiatric diagnosis: a systematic review
Z Chen, X Liu, Q Yang, YJ Wang, K Miao… - JAMA network …, 2023 - jamanetwork.com
Importance Neuroimaging-based artificial intelligence (AI) diagnostic models have
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …
[HTML][HTML] Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry
Background The development of machine learning models for aiding in the diagnosis of
mental disorder is recognized as a significant breakthrough in the field of psychiatry …
mental disorder is recognized as a significant breakthrough in the field of psychiatry …
Classification accuracy of neuroimaging biomarkers in attention-deficit/hyperactivity disorder: effects of sample size and circular analysis
Background Motivated by an inconsistency between reports of high diagnosis-classification
accuracies and known heterogeneity in attention-deficit/hyperactivity disorder (ADHD), this …
accuracies and known heterogeneity in attention-deficit/hyperactivity disorder (ADHD), this …
Refinement by integration: aggregated effects of multimodal imaging markers on adult ADHD
Background: Attention-deficit/hyperactivity disorder (ADHD) is biologically heterogeneous,
with different biological predispositions—mediated through developmental processes …
with different biological predispositions—mediated through developmental processes …
[HTML][HTML] Decreased olfactory discrimination is associated with impulsivity in healthy volunteers
In clinical populations, olfactory abilities parallel executive function, implicating shared
neuroanatomical substrates within the ventral prefrontal cortex. In healthy individuals, the …
neuroanatomical substrates within the ventral prefrontal cortex. In healthy individuals, the …
Structural or/and functional MRI-based machine learning techniques for attention-deficit/hyperactivity disorder diagnosis: A systematic review and meta-analysis
L Tian, H Zheng, K Zhang, J Qiu, X Song, S Li… - Journal of Affective …, 2024 - Elsevier
Background The aim of this study was to investigate the diagnostic value of ML techniques
based on sMRI or/and fMRI for ADHD. Methods We conducted a comprehensive search …
based on sMRI or/and fMRI for ADHD. Methods We conducted a comprehensive search …
[HTML][HTML] Mid-Luteal Olfactory Abilities Reveal Healthy Women's Emotional and Cognitive Functions
F Yao, K Chen, Y Zhuang, X Shen… - Frontiers in Neuroscience, 2022 - frontiersin.org
Ovarian hormones modulate women's physical and psychological states periodically.
Although the olfactory function is increasingly recognized as a reflection of physical and …
Although the olfactory function is increasingly recognized as a reflection of physical and …