Medicine and Health Sciences Commons^™

Geff: Graph Embedding For Functional Fingerprinting, Kausar Abbas, Enrico Amico, Diana Otero Svaldi, Uttara Tipnis, Duy Anh Duong-Tran, Mintao Liu, Meenusree Rajapandian, Jaroslaw Harezlak, Beau M Ances, Joaquín Goñi

2020-Current year OA Pubs

It has been well established that Functional Connectomes (FCs), as estimated from functional MRI (fMRI) data, have an individual fingerprint that can be used to identify an individual from a population (subject-identification). Although identification rate is high when using resting-state FCs, other tasks show moderate to low values. Furthermore, identification rate is task-dependent, and is low when distinct cognitive states, as captured by different fMRI tasks, are compared. Here we propose an embedding framework, GEFF (Graph Embedding for Functional Fingerprinting), based on group-level decomposition of FCs into eigenvectors. GEFF creates an eigenspace representation of a group of subjects using one …

Brain Function Distinguishes Female Carriers And Non-Carriers Of Familial Risk For Autism, Adam T Eggebrecht, Ally Dworetsky, Zoë Hawks, Rebecca Coalson, Babatunde Adeyemo, Savannah Davis, Daniel Gray, Alana Mcmichael, Steven E Petersen, John N Constantino, John R Pruett

2020-Current year OA Pubs

BACKGROUND: Autism spectrum disorder (ASD) is characterized by high population-level heritability and a three-to-one male-to-female ratio that occurs independent of sex linkage. Prior research in a mixed-sex pediatric sample identified neural signatures of familial risk elicited by passive viewing of point light motion displays, suggesting the possibility that both resilience and risk of autism might be associated with brain responses to biological motion. To confirm a relationship between these signatures and inherited risk of autism, we tested them in families enriched for genetic loading through undiagnosed ("carrier") females.

METHODS: Using functional magnetic resonance imaging, we examined brain responses to passive …

Gadobutrol-Enhanced Cardiac Magnetic Resonance Imaging For Detection Of Coronary Artery Disease, Andrew E Arai, Pamela K Woodard, Et Al.

2020-Current year OA Pubs

BACKGROUND: Gadolinium-based contrast agents were not approved in the United States for detecting coronary artery disease (CAD) prior to the current studies.

OBJECTIVES: The purpose of this study was to determine the sensitivity and specificity of gadobutrol for detection of CAD by assessing myocardial perfusion and late gadolinium enhancement (LGE) imaging.

METHODS: Two international, single-vendor, phase 3 clinical trials of near identical design, "GadaCAD1" and "GadaCAD2," were performed. Cardiovascular magnetic resonance (CMR) included gadobutrol-enhanced first-pass vasodilator stress and rest perfusion followed by LGE imaging. CAD was defined by quantitative coronary angiography (QCA) but computed tomography coronary angiography could exclude significant …

Towards Hcp-Style Macaque Connectomes: 24-Channel 3t Multi-Array Coil, Mri Sequences And Preprocessing, Joonas A. Autio, Matthew F. Glasser, Chad J. Donahue, Timothy S. Coalson, David C. Van Essen, Et Al.

2020-Current year OA Pubs

Macaque monkeys are an important animal model where invasive investigations can lead to a better understanding of the cortical organization of primates including humans. However, the tools and methods for noninvasive image acquisition (e.g. MRI RF coils and pulse sequence protocols) and image data preprocessing have lagged behind those developed for humans. To resolve the structural and functional characteristics of the smaller macaque brain, high spatial, temporal, and angular resolutions combined with high signal-to-noise ratio are required to ensure good image quality. To address these challenges, we developed a macaque 24-channel receive coil for 3-T MRI with parallel imaging capabilities. …

Test-Retest Reliability Of Fmri-Measured Brain Activity During Decision Making Under Risk, Ozlem Korucuoglu, Michael P. Harms, Serguei V. Astafiev, James T. Kennedy, Semyon Golosheykin, Deanna M. Barch, Andrey P. Anokhin

2020-Current year OA Pubs

Neural correlates of decision making under risk are being increasingly utilized as biomarkers of risk for substance abuse and other psychiatric disorders, treatment outcomes, and brain development. This research relies on the basic assumption that fMRI measures of decision making represent stable, trait-like individual differences. However, reliability needs to be established for each individual construct. Here we assessed long-term test-retest reliability (TRR) of regional brain activations related to decision making under risk using the Balloon Analogue Risk Taking task (BART) and identified regions with good TRRs and familial influences, an important prerequisite for the use of fMRI measures in genetic …

Correction Of Respiratory Artifacts In Mri Head Motion Estimates, Damien A. Fair, Abraham Z. Snyder, Andrew N. Van, Jonathan M. Koller, Amy E. Mirro, Jacqueline M Hampton, Babatunde Adeyemo, Timothy O. Laumann, Deanna J. Greene, Deann M. Barch, Steven E. Petersen, Nico U. F. Dosenbach, Et Al.

2020-Current year OA Pubs

Head motion represents one of the greatest technical obstacles in magnetic resonance imaging (MRI) of the human brain. Accurate detection of artifacts induced by head motion requires precise estimation of movement. However, head motion estimates may be corrupted by artifacts due to magnetic main field fluctuations generated by body motion. In the current report, we examine head motion estimation in multiband resting state functional connectivity MRI (rs-fcMRI) data from the Adolescent Brain and Cognitive Development (ABCD) Study and comparison 'single-shot' datasets. We show that respirations contaminate movement estimates in functional MRI and that respiration generates apparent head motion not associated …