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] From estimating activation locality to predicting disorder: a review of pattern recognition for neuroimaging-based psychiatric diagnostics
Psychiatric disorders are increasingly being recognised as having a biological basis, but
their diagnosis is made exclusively behaviourally. A promising approach for …
their diagnosis is made exclusively behaviourally. A promising approach for …
Artificial intelligence applications in psychoradiology
One important challenge in psychiatric research is to translate findings from brain imaging
research studies that identified brain alterations in patient groups into an accurate diagnosis …
research studies that identified brain alterations in patient groups into an accurate diagnosis …
Disrupted white matter connectivity underlying developmental dyslexia: a machine learning approach
Developmental dyslexia has been hypothesized to result from multiple causes and exhibit
multiple manifestations, implying a distributed multidimensional effect on human brain. The …
multiple manifestations, implying a distributed multidimensional effect on human brain. The …
Prediction of brain maturity in infants using machine-learning algorithms
Recent resting-state functional MRI investigations have demonstrated that much of the large-
scale functional network architecture supporting motor, sensory and cognitive functions in …
scale functional network architecture supporting motor, sensory and cognitive functions in …
Meta-analytic investigations of structural grey matter, executive domain-related functional activations, and white matter diffusivity in obsessive compulsive disorder: an …
Obsessive–compulsive disorder (OCD) is a debilitating disorder. However, existing
neuroimaging findings involving executive function and structural abnormalities in OCD …
neuroimaging findings involving executive function and structural abnormalities in OCD …
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 …
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 …
Neuroimaging findings in obsessive–compulsive disorder: A narrative review to elucidate neurobiological underpinnings
N Hazari, JC Narayanaswamy… - Indian journal of …, 2019 - journals.lww.com
Obsessive compulsive disorder (OCD) is a common psychiatric illness and significant
research has been ongoing to understand its neurobiological basis. Neuroimaging studies …
research has been ongoing to understand its neurobiological basis. Neuroimaging studies …
[HTML][HTML] A common brain network among state, trait, and pathological anxiety from whole-brain functional connectivity
Y Takagi, Y Sakai, Y Abe, S Nishida, BJ Harrison… - Neuroimage, 2018 - Elsevier
Anxiety is one of the most common mental states of humans. Although it drives us to avoid
frightening situations and to achieve our goals, it may also impose significant suffering and …
frightening situations and to achieve our goals, it may also impose significant suffering and …