A technical review of canonical correlation analysis for neuroscience applications

X Zhuang, Z Yang, D Cordes - Human brain mapping, 2020 - Wiley Online Library
Collecting comprehensive data sets of the same subject has become a standard in
neuroscience research and uncovering multivariate relationships among collected data sets …

Cognitive control deficits in schizophrenia: mechanisms and meaning

TA Lesh, TA Niendam, MJ Minzenberg… - …, 2011 - nature.com
Although schizophrenia is an illness that has been historically characterized by the
presence of positive symptomatology, decades of research highlight the importance of …

[HTML][HTML] On the interpretation of weight vectors of linear models in multivariate neuroimaging

S Haufe, F Meinecke, K Görgen, S Dähne, JD Haynes… - Neuroimage, 2014 - Elsevier
The increase in spatiotemporal resolution of neuroimaging devices is accompanied by a
trend towards more powerful multivariate analysis methods. Often it is desired to interpret the …

Resting-state hemodynamics are spatiotemporally coupled to synchronized and symmetric neural activity in excitatory neurons

Y Ma, MA Shaik, MG Kozberg, SH Kim… - Proceedings of the …, 2016 - National Acad Sciences
Brain hemodynamics serve as a proxy for neural activity in a range of noninvasive
neuroimaging techniques including functional magnetic resonance imaging (fMRI). In …

[HTML][HTML] Enhanced performance by a hybrid NIRS–EEG brain computer interface

S Fazli, J Mehnert, J Steinbrink, G Curio, A Villringer… - Neuroimage, 2012 - Elsevier
Noninvasive Brain Computer Interfaces (BCI) have been promoted to be used for
neuroprosthetics. However, reports on applications with electroencephalography (EEG) …

The what, where and how of delay activity

KK Sreenivasan, M D'Esposito - Nature reviews neuroscience, 2019 - nature.com
Working memory is characterized by neural activity that persists during the retention interval
of delay tasks. Despite the ubiquity of this delay activity across tasks, species and …

The amplitude and timing of the BOLD signal reflects the relationship between local field potential power at different frequencies

C Magri, U Schridde, Y Murayama… - Journal of …, 2012 - Soc Neuroscience
There is growing evidence that several components of the mass neural activity contributing
to the local field potential (LFP) can be partly separated by decomposing the LFP into …

Infraslow LFP correlates to resting-state fMRI BOLD signals

WJ Pan, GJ Thompson, ME Magnuson, D Jaeger… - Neuroimage, 2013 - Elsevier
The slow fluctuations of the blood-oxygenation-level dependent (BOLD) signal in resting-
state fMRI are widely utilized as a surrogate marker of ongoing neural activity. Spontaneous …

Granger causality analysis of fMRI BOLD signals is invariant to hemodynamic convolution but not downsampling

AK Seth, P Chorley, LC Barnett - Neuroimage, 2013 - Elsevier
Granger causality is a method for identifying directed functional connectivity based on time
series analysis of precedence and predictability. The method has been applied widely in …

Electrophysiological correlates of the BOLD signal for EEG‐informed fMRI

T Murta, M Leite, DW Carmichael… - Human brain …, 2015 - Wiley Online Library
Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) are
important tools in cognitive and clinical neuroscience. Combined EEG–fMRI has been …