Recent progress and outstanding issues in motion correction in resting state fMRI

JD Power, BL Schlaggar, SE Petersen - Neuroimage, 2015 - Elsevier
The purpose of this review is to communicate and synthesize recent findings related to
motion artifact in resting state fMRI. In 2011, three groups reported that small head …

Visual-motor functional connectivity in preschool children emerges after handwriting experience

S Vinci-Booher, TW James, KH James - Trends in Neuroscience and …, 2016 - Elsevier
Handwriting letters has been shown to increase Blood Oxygen Level Dependent (BOLD)
signal during letter perception in visual and motor brain regions relative to other types of …

The MCIC collection: a shared repository of multi-modal, multi-site brain image data from a clinical investigation of schizophrenia

RL Gollub, JM Shoemaker, MD King, T White, S Ehrlich… - Neuroinformatics, 2013 - Springer
Expertly collected, well-curated data sets consisting of comprehensive clinical
characterization and raw structural, functional and diffusion-weighted DICOM images in …

Reduced executive and default network functional connectivity in cigarette smokers

BJ Weiland, A Sabbineni, VD Calhoun… - Human brain …, 2015 - Wiley Online Library
Altered functional connectivity has been associated with acute and chronic nicotine use.
Connectivity alterations, specifically in the right and left executive control networks …

An improved model of motion-related signal changes in fMRI

R Patriat, RC Reynolds, RM Birn - NeuroImage, 2017 - Elsevier
Head motion is a significant source of noise in the estimation of functional connectivity from
resting-state functional MRI (rs-fMRI). Current strategies to reduce this noise include image …

Dynamic connectivity and the effects of maturation in youth with attention deficit hyperactivity disorder

N de Lacy, VD Calhoun - Network Neuroscience, 2018 - direct.mit.edu
The analysis of time-varying connectivity by using functional MRI has gained momentum
given its ability to complement traditional static methods by capturing additional patterns of …

Integrated Evolutionary Learning: an artificial intelligence approach to joint learning of features and hyperparameters for optimized, explainable machine learning

N de Lacy, MJ Ramshaw, JN Kutz - Frontiers in artificial intelligence, 2022 - frontiersin.org
Artificial intelligence and machine learning techniques have proved fertile methods for
attacking difficult problems in medicine and public health. These techniques have garnered …

Sex-related differences in intrinsic brain dynamism and their neurocognitive correlates

N de Lacy, E McCauley, JN Kutz, VD Calhoun - Neuroimage, 2019 - Elsevier
The application of dynamic or time-varying connectivity techniques to neuroimaging data
represents a new and complementary method to traditional static (time-averaged) methods …

[HTML][HTML] Multilevel map** of sexual dimorphism in intrinsic functional brain networks

N De Lacy, E McCauley, JN Kutz… - Frontiers in …, 2019 - frontiersin.org
Differences in cognitive performance between males and females are well-described, most
commonly in certain spatial and language tasks. Sex-related differences in cognition are …

Some points to consider in a task-based fMRI study: A guideline for beginners

SAH Batouli, M Sisakhti - Frontiers in Biomedical …, 2020 - publish.kne-publishing.com
Abstract Functional Magnetic Resonance Imaging (fMRI) is a technique widely used to
probe brain function, and has shown many research and clinical applications. Despite its …