Multimodal fusion of brain imaging data: a key to finding the missing link (s) in complex mental illness

VD Calhoun, J Sui - Biological psychiatry: cognitive neuroscience and …, 2016 - Elsevier
It is becoming increasingly clear that combining multimodal brain imaging data provides
more information for individual subjects by exploiting the rich multimodal information that …

A review of multivariate methods for multimodal fusion of brain imaging data

J Sui, T Adali, Q Yu, J Chen, VD Calhoun - Journal of neuroscience …, 2012 - Elsevier
The development of various neuroimaging techniques is rapidly improving the
measurements of brain function/structure. However, despite improvements in individual …

[HTML][HTML] NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders

Y Du, Z Fu, J Sui, S Gao, Y ** or similar clinical symptoms, confounding the
diagnosis. It is important to systematically characterize the degree to which unique and …

Cortical atrophy patterns in multiple sclerosis are non-random and clinically relevant

MD Steenwijk, JJG Geurts, M Daams, BM Tijms… - Brain, 2016 - academic.oup.com
Abstract See Chard and Miller (doi: 10.1093/brain/awv354) for a scientific commentary on
this article. Grey matter atrophy is common in multiple sclerosis. However, in contrast with …

Neuroinflammation and functional connectivity in Alzheimer's disease: interactive influences on cognitive performance

L Passamonti, KA Tsvetanov, PS Jones… - Journal of …, 2019 - Soc Neuroscience
Neuroinflammation is a key part of the etio-pathogenesis of Alzheimer's disease (AD). We
tested the relationship between neuroinflammation and the disruption of functional …

Redefining the multidimensional clinical phenotypes of frontotemporal lobar degeneration syndromes

AG Murley, I Coyle-Gilchrist, MA Rouse, PS Jones, W Li… - Brain, 2020 - academic.oup.com
The syndromes caused by frontotemporal lobar degeneration have highly heterogeneous
and overlap** clinical features. There has been great progress in the refinement of clinical …

Patterns of gray matter abnormalities in schizophrenia based on an international mega-analysis

CN Gupta, VD Calhoun, S Rachakonda… - Schizophrenia …, 2015 - academic.oup.com
Analyses of gray matter concentration (GMC) deficits in patients with schizophrenia (Sz)
have identified robust changes throughout the cortex. We assessed the relationships …

[HTML][HTML] Alterations of frontal-temporal gray matter volume associate with clinical measures of older adults with COVID-19

K Duan, E Premi, A Pilotto, V Cristillo, A Benussi… - Neurobiology of …, 2021 - Elsevier
COVID-19, the infectious disease caused by the most recently discovered severe acute
respiratory syndrome coronavirus-2 (SARS-CoV-2), has become a global pandemic. It …

Map** grey matter reductions in schizophrenia: an anatomical likelihood estimation analysis of voxel-based morphometry studies

A Fornito, M Yücel, J Patti, SJ Wood, C Pantelis - Schizophrenia research, 2009 - Elsevier
Voxel-based morphometry (VBM) is a popular tool for map** neuroanatomical changes in
schizophrenia patients. Several recent meta-analyses have identified the brain regions in …

The effect of ageing on f MRI: Correction for the confounding effects of vascular reactivity evaluated by joint f MRI and MEG in 335 adults

KA Tsvetanov, RNA Henson, LK Tyler… - Human brain …, 2015 - Wiley Online Library
In functional magnetic resonance imaging (fMRI) research one is typically interested in
neural activity. However, the blood‐oxygenation level‐dependent (BOLD) signal is a …