Automated detection of ADHD: Current trends and future perspective
Attention deficit hyperactivity disorder (ADHD) is a heterogenous disorder that has a
detrimental impact on the neurodevelopment of the brain. ADHD patients exhibit …
detrimental impact on the neurodevelopment of the brain. ADHD patients exhibit …
A cross-disorder connectome landscape of brain dysconnectivity
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 …
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
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 …
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 …
Subjective cognitive decline (SCD), mild cognitive impairment (MCI) and further …
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls
Neuroimaging-based single subject prediction of brain disorders has gained increasing
attention in recent years. Using a variety of neuroimaging modalities such as structural …
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
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 …
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
Attention deficit hyperactivity disorder (ADHD) is one of the most common mental health
disorders. As a neuro development disorder, neuroimaging technologies, such as magnetic …
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
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 …
the art in the assessment of endogenous neuronal activity—and may be a promising tool in …
Machine learning approaches for clinical psychology and psychiatry
Machine learning approaches for clinical psychology and psychiatry explicitly focus on
learning statistical functions from multidimensional data sets to make generalizable …
learning statistical functions from multidimensional data sets to make generalizable …
The search for imaging biomarkers in psychiatric disorders
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 …
individualized care. This is a particular challenge for the field of psychiatry, in which …