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 …

Towards a brain‐based predictome of mental illness

B Rashid, V Calhoun - Human brain mapping, 2020 - Wiley Online Library
Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …

Anatomy and white matter connections of the lingual gyrus and cuneus

AH Palejwala, NB Dadario, IM Young, K O'Connor… - World neurosurgery, 2021 - Elsevier
Background The medial occipital lobe, composed of the lingual gyrus and cuneus, is
necessary for both basic and higher level visual processing. It is also known to facilitate …

Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis

LL Zeng, H Shen, L Liu, L Wang, B Li, P Fang, Z Zhou… - Brain, 2012 - academic.oup.com
Recent resting-state functional connectivity magnetic resonance imaging studies have
shown significant group differences in several regions and networks between patients with …

[HTML][HTML] From estimating activation locality to predicting disorder: a review of pattern recognition for neuroimaging-based psychiatric diagnostics

T Wolfers, JK Buitelaar, CF Beckmann, B Franke… - Neuroscience & …, 2015 - Elsevier
Psychiatric disorders are increasingly being recognised as having a biological basis, but
their diagnosis is made exclusively behaviourally. A promising approach for …

Diffusion tensor imaging in attention deficit/hyperactivity disorder: a systematic review and meta-analysis

H van Ewijk, DJ Heslenfeld, MP Zwiers… - Neuroscience & …, 2012 - Elsevier
Diffusion tensor imaging (DTI) allows in vivo examination of the microstructural integrity of
white matter brain tissue. A systematic review and quantitative meta-analysis using …

3D-CNN based discrimination of schizophrenia using resting-state fMRI

MNI Qureshi, J Oh, B Lee - Artificial intelligence in medicine, 2019 - Elsevier
Motivation This study reports a framework to discriminate patients with schizophrenia and
normal healthy control subjects, based on magnetic resonance imaging (MRI) of the brain …

[HTML][HTML] Diagnostic neuroimaging across diseases

S Klöppel, A Abdulkadir, CR Jack Jr, N Koutsouleris… - Neuroimage, 2012 - Elsevier
Fully automated classification algorithms have been successfully applied to diagnose a wide
range of neurological and psychiatric diseases. They are sufficiently robust to handle data …

Schizophrenia,“Just the Facts” 6. Moving ahead with the schizophrenia concept: from the elephant to the mouse

MS Keshavan, HA Nasrallah, R Tandon - Schizophrenia research, 2011 - Elsevier
The current construct of schizophrenia as a unitary disease is far from satisfactory, and is in
need of reconceptualization. The first five papers in our “facts” series reviewed what is …

Functional segmentation of the anterior limb of the internal capsule: linking white matter abnormalities to specific connections

Z Safadi, G Grisot, S Jbabdi, TE Behrens… - Journal of …, 2018 - Soc Neuroscience
The anterior limb of the internal capsule (ALIC) carries thalamic and brainstem fibers from
prefrontal cortical regions that are associated with different aspects of emotion, motivation …