Closed-loop brain training: the science of neurofeedback

R Sitaram, T Ros, L Stoeckel, S Haller… - Nature Reviews …, 2017 - nature.com
Neurofeedback is a psychophysiological procedure in which online feedback of neural
activation is provided to the participant for the purpose of self-regulation. Learning control …

[HTML][HTML] Mobile EEG in research on neurodevelopmental disorders: Opportunities and challenges

A Lau-Zhu, MPH Lau, G McLoughlin - Developmental cognitive …, 2019 - Elsevier
Mobile electroencephalography (mobile EEG) represents a next-generation neuroscientific
technology–to study real-time brain activity–that is relatively inexpensive, non-invasive and …

EEG signatures of dynamic functional network connectivity states

EA Allen, E Damaraju, T Eichele, L Wu, VD Calhoun - Brain topography, 2018 - Springer
The human brain operates by dynamically modulating different neural populations to enable
goal directed behavior. The synchrony or lack thereof between different brain regions is …

Assessing dynamic brain graphs of time-varying connectivity in fMRI data: application to healthy controls and patients with schizophrenia

Q Yu, EB Erhardt, J Sui, Y Du, H He, D Hjelm, MS Cetin… - Neuroimage, 2015 - Elsevier
Graph theory-based analysis has been widely employed in brain imaging studies, and
altered topological properties of brain connectivity have emerged as important features of …

A multi-site resting state fMRI study on the amplitude of low frequency fluctuations in schizophrenia

JA Turner, E Damaraju, TGM Van Erp… - Frontiers in …, 2013 - frontiersin.org
Background: This multi-site study compares resting state fMRI amplitude of low frequency
fluctuations (ALFF) and fractional ALFF (fALFF) between patients with schizophrenia (SZ) …

In search of biomarkers in psychiatry: EEG‐based measures of brain function

G McLoughlin, S Makeig… - American Journal of …, 2014 - Wiley Online Library
Current clinical parameters used for diagnosis and phenotypic definitions of
psychopathology are both highly variable and subjective. Intensive research efforts for …

EEG–fMRI integration for the study of human brain function

J Jorge, W Van der Zwaag, P Figueiredo - Neuroimage, 2014 - Elsevier
Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) have
proved to be extremely valuable tools for the non-invasive study of human brain function …

[HTML][HTML] Overlaps and distinctions between attention deficit/hyperactivity disorder and autism spectrum disorder in young adulthood: Systematic review and guiding …

A Lau-Zhu, A Fritz, G McLoughlin - Neuroscience & Biobehavioral Reviews, 2019 - Elsevier
Attention deficit/hyperactivity disorders (ADHD) and autism spectrum disorders (ASD)
frequently co-occur. However, we know little about the neural basis of the overlaps and …

Moving beyond ERP components: a selective review of approaches to integrate EEG and behavior

DA Bridwell, JF Cavanagh, AGE Collins… - Frontiers in human …, 2018 - frontiersin.org
Relationships between neuroimaging measures and behavior provide important clues about
brain function and cognition in healthy and clinical populations. While …

Time-varying brain connectivity in fMRI data: whole-brain data-driven approaches for capturing and characterizing dynamic states

VD Calhoun, T Adali - IEEE Signal Processing Magazine, 2016 - ieeexplore.ieee.org
The study of whole-brain functional brain connectivity with functional magnetic resonance
imaging (fMRI) has been based largely on the assumption that a given condition (eg, at rest …