Automated detection of ADHD: Current trends and future perspective

HW Loh, CP Ooi, PD Barua, EE Palmer… - Computers in Biology …, 2022 - Elsevier
Attention deficit hyperactivity disorder (ADHD) is a heterogenous disorder that has a
detrimental impact on the neurodevelopment of the brain. ADHD patients exhibit …

A cross-disorder connectome landscape of brain dysconnectivity

MP van den Heuvel, O Sporns - Nature reviews neuroscience, 2019 - nature.com
Many human brain disorders are associated with characteristic alterations in the structural
and functional connectivity of the brain. In this article, we explore how commonalities and …

Using connectome-based predictive modeling to predict individual behavior from brain connectivity

X Shen, ES Finn, D Scheinost, MD Rosenberg… - nature protocols, 2017 - nature.com
Neuroimaging is a fast-develo** research area in which anatomical and functional images
of human brains are collected using techniques such as functional magnetic resonance …

Abnormal white matter changes in Alzheimer's disease based on diffusion tensor imaging: A systematic review

Y Chen, Y Wang, Z Song, Y Fan, T Gao… - Ageing Research Reviews, 2023 - Elsevier
Alzheimer's disease (AD) is a degenerative neurological disease in elderly individuals.
Subjective cognitive decline (SCD), mild cognitive impairment (MCI) and further …

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls

MR Arbabshirani, S Plis, J Sui, VD Calhoun - Neuroimage, 2017 - Elsevier
Neuroimaging-based single subject prediction of brain disorders has gained increasing
attention in recent years. Using a variety of neuroimaging modalities such as structural …

[HTML][HTML] Task fMRI paradigms may capture more behaviorally relevant information than resting-state functional connectivity

W Zhao, C Makowski, DJ Hagler, HP Garavan… - NeuroImage, 2023 - Elsevier
Characterizing the optimal fMRI paradigms for detecting behaviorally relevant functional
connectivity (FC) patterns is a critical step to furthering our knowledge of the neural basis of …

3D CNN based automatic diagnosis of attention deficit hyperactivity disorder using functional and structural MRI

L Zou, J Zheng, C Miao, MJ Mckeown, ZJ Wang - Ieee Access, 2017 - ieeexplore.ieee.org
Attention deficit hyperactivity disorder (ADHD) is one of the most common mental health
disorders. As a neuro development disorder, neuroimaging technologies, such as magnetic …

Decoding wakefulness levels from typical fMRI resting-state data reveals reliable drifts between wakefulness and sleep

E Tagliazucchi, H Laufs - Neuron, 2014 - cell.com
The mining of huge databases of resting-state brain activity recordings represents state of
the art in the assessment of endogenous neuronal activity—and may be a promising tool in …

Machine learning approaches for clinical psychology and psychiatry

DB Dwyer, P Falkai… - Annual review of clinical …, 2018 - annualreviews.org
Machine learning approaches for clinical psychology and psychiatry explicitly focus on
learning statistical functions from multidimensional data sets to make generalizable …

The search for imaging biomarkers in psychiatric disorders

A Abi-Dargham, G Horga - Nature medicine, 2016 - nature.com
The field of medicine is moving toward the use of biomarkers for the optimization of
individualized care. This is a particular challenge for the field of psychiatry, in which …