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Full-Text Articles in Medicine and Health Sciences

Eeg Functional Connectivity In Infants At Elevated Familial Likelihood For Autism Spectrum Disorder, Christian O'Reilly, Scott Huberty, Stefon Van Noordt, James Desjardins, Nicky Wright, Julie Scorah, Sara Jane Webb, Mayada Elsabbagh, Basis Team Oct 2023

Eeg Functional Connectivity In Infants At Elevated Familial Likelihood For Autism Spectrum Disorder, Christian O'Reilly, Scott Huberty, Stefon Van Noordt, James Desjardins, Nicky Wright, Julie Scorah, Sara Jane Webb, Mayada Elsabbagh, Basis Team

Publications

Background

Many studies have reported that autism spectrum disorder (ASD) is associated with atypical structural and functional connectivity. However, we know relatively little about the development of these differences in infancy.

Methods

We used a high-density electroencephalogram (EEG) dataset pooled from two independent infant sibling cohorts, to characterize such neurodevelopmental deviations during the first years of life. EEG was recorded at 6 and 12 months of age in infants at typical (N = 92) or elevated likelihood for ASD (N = 90), determined by the presence of an older sibling with ASD. We computed the functional connectivity between …


Investigating The Effects Of Infantile Hydrocephalus On Visuomotor Integration: A Study Utilizing Behavioural And Neuroimaging Analyses, Derya Adil Aug 2023

Investigating The Effects Of Infantile Hydrocephalus On Visuomotor Integration: A Study Utilizing Behavioural And Neuroimaging Analyses, Derya Adil

Electronic Thesis and Dissertation Repository

This thesis describes studies which explore the impact of infantile hydrocephalus on the posterior cortex, specifically focusing on the parietal and occipital lobes. Using resting-state functional MRI, the functional connectivity within the visuomotor integration network was investigated and connectivity was traced through the corpus callosum. We hypothesized that children with hydrocephalus would demonstrate altered functional connectivity compared to typically developing controls. Our findings revealed that patients had reduced functional connectivity in visuomotor pathways, particularly the inferior frontal occipital fasciculus, superior longitudinal fasciculus, and the frontal aslant tract, with notable impact on the left and right fusiform gyrus and precuneus. We …


Group-Based Four-Dimensional Brain Mapping Of Executive Control, Matthew T. Brennan, Kazuki Sakakura Md, Masaki Sonoda Md, Phd, Aimee Luat Md, Neena Marupudi, Sandeep Sood Md, Eishi Asano Md, Phd Mar 2023

Group-Based Four-Dimensional Brain Mapping Of Executive Control, Matthew T. Brennan, Kazuki Sakakura Md, Masaki Sonoda Md, Phd, Aimee Luat Md, Neena Marupudi, Sandeep Sood Md, Eishi Asano Md, Phd

Medical Student Research Symposium

Rationale: Humans utilize executive control processes to carry out non-automatic tasks. These tasks require coordination from higher brain centers to both suppress inappropriate behaviors and initiate correct responses. The goal of this study is to generate a novel, dynamic brain atlas to visualize and understand the network dynamics underlying executive control.

Methods: We studied 547 non-epileptic intracranial electrode sites sampled from seven patients with focal epilepsy. Each patient performed two types of verbal tasks: word-reading and Stroop color-naming. Mixed model analysis compared high-gamma cortical activation prior to response onset between the word-reading and Stroop color-naming tasks. Based on mixed model …


Episodic Memory Dysfunction And Hypersynchrony In Brain Functional Networks In Cognitively Intact Subjects And Mci: A Study Of 379 Individuals, Brenda Chino, Pablo Cuesta, Javier Pacios, Jaisalmer De Frutos-Lucas, Lucía Torres-Simón, Sandra Doval, Alberto Marcos, Ricardo Bruña, Fernando Maestú Feb 2023

Episodic Memory Dysfunction And Hypersynchrony In Brain Functional Networks In Cognitively Intact Subjects And Mci: A Study Of 379 Individuals, Brenda Chino, Pablo Cuesta, Javier Pacios, Jaisalmer De Frutos-Lucas, Lucía Torres-Simón, Sandra Doval, Alberto Marcos, Ricardo Bruña, Fernando Maestú

Research outputs 2022 to 2026

Delayed recall (DR) impairment is one of the most significant predictive factors in defining the progression to Alzheimer’s disease (AD). Changes in brain functional connectivity (FC) could accompany this decline in the DR performance even in a resting state condition from the preclinical stages to the diagnosis of AD itself, so the characterization of the relationship between the two phenomena has attracted increasing interest. Another aspect to contemplate is the potential moderator role of the APOE genotype in this association, considering the evidence about their implication for the disease. 379 subjects (118 mild cognitive impairment (MCI) and 261 cognitively intact …


An Open Access Resource For Functional Brain Connectivity From Fully Awake Marmosets, David J. Schaeffer, L Martyn Klassen, Yuki Hori, Xiaoguang Tian, Diego Szczupak, Cecil Chern-Chyi Yen, Justine C. Cléry, Kyle M. Gilbert, Joseph S. Gati, Ravi S. Menon, Cirong Liu, Stefan Everling, Afonso C. Silva May 2022

An Open Access Resource For Functional Brain Connectivity From Fully Awake Marmosets, David J. Schaeffer, L Martyn Klassen, Yuki Hori, Xiaoguang Tian, Diego Szczupak, Cecil Chern-Chyi Yen, Justine C. Cléry, Kyle M. Gilbert, Joseph S. Gati, Ravi S. Menon, Cirong Liu, Stefan Everling, Afonso C. Silva

Brain and Mind Institute Researchers' Publications

The common marmoset (Callithrix jacchus) is quickly gaining traction as a premier neuroscientific model. However, considerable progress is still needed in understanding the functional and structural organization of the marmoset brain to rival that documented in longstanding preclinical model species, like mice, rats, and Old World primates. To accelerate such progress, we present the Marmoset Functional Brain Connectivity Resource (marmosetbrainconnectome.org), currently consisting of over 70 h of resting-state fMRI (RS-fMRI) data acquired at 500 µm isotropic resolution from 31 fully awake marmosets in a common stereotactic space. Three-dimensional functional connectivity (FC) maps for every cortical and subcortical gray matter voxel …


Muting, Not Fragmentation, Of Functional Brain Networks Under General Anesthesia, Corson N. Areshenkoff, Joseph Y. Nashed, R. Matthew Hutchison, Melina Hutchison, Ron Levy, Douglas J. Cook, Ravi S. Menon, Stefan Everling, Jason P. Gallivan May 2021

Muting, Not Fragmentation, Of Functional Brain Networks Under General Anesthesia, Corson N. Areshenkoff, Joseph Y. Nashed, R. Matthew Hutchison, Melina Hutchison, Ron Levy, Douglas J. Cook, Ravi S. Menon, Stefan Everling, Jason P. Gallivan

Brain and Mind Institute Researchers' Publications

© 2021 Changes in resting-state functional connectivity (rs-FC) under general anesthesia have been widely studied with the goal of identifying neural signatures of consciousness. This work has commonly revealed an apparent fragmentation of whole-brain network structure during unconsciousness, which has been interpreted as reflecting a break-down in connectivity and a disruption of the brain's ability to integrate information. Here we show, by studying rs-FC under varying depths of isoflurane-induced anesthesia in nonhuman primates, that this apparent fragmentation, rather than reflecting an actual change in network structure, can be simply explained as the result of a global reduction in FC. Specifically, …


Experience-Dependent Plasticitiy Of Functional Connectivity In Human Visual Cortex Following Central Vision Loss, Leland Lanelle Fleming Jan 2021

Experience-Dependent Plasticitiy Of Functional Connectivity In Human Visual Cortex Following Central Vision Loss, Leland Lanelle Fleming

All ETDs from UAB

The human brain is shaped by a dynamic interplay between innate factors and life experiences. Neuroscience has long grappled with understanding this relationship, particularly with regard to how changes in experience impact the brain during adulthood. This question is especially important in the context of macular degeneration, a disease that causes significant visual impairment and drastically alters day-to-day visual experiences for individuals afflicted by the disease. Specifically, people with macular degeneration lose the ability to use vision in the center of the visual field, the region of the retina with the highest spatial resolution. Subsequently, these individuals must rely on …


The Acute Effects Of The Atypical Dissociative Hallucinogen Salvinorin A On Functional Connectivity In The Human Brain, Manoj K. Doss, Darrick G. May, Matthew W. Johnson, John M. Clifton, Sidnee L. Hedrick, Thomas E. Prisinzano, Roland R. Griffiths, Frederick S. Barrett Oct 2020

The Acute Effects Of The Atypical Dissociative Hallucinogen Salvinorin A On Functional Connectivity In The Human Brain, Manoj K. Doss, Darrick G. May, Matthew W. Johnson, John M. Clifton, Sidnee L. Hedrick, Thomas E. Prisinzano, Roland R. Griffiths, Frederick S. Barrett

Pharmaceutical Sciences Faculty Publications

Salvinorin A (SA) is a κ-opioid receptor agonist and atypical dissociative hallucinogen found in Salvia divinorum. Despite the resurgence of hallucinogen studies, the effects of κ-opioid agonists on human brain function are not well-understood. This placebo-controlled, within-subject study used functional magnetic resonance imaging for the first time to explore the effects of inhaled SA on strength, variability, and entropy of functional connectivity (static, dynamic, and entropic functional connectivity, respectively, or sFC, dFC, and eFC). SA tended to decrease within-network sFC but increase between-network sFC, with the most prominent effect being attenuation of the default mode network (DMN) during the …


A Study Of The Relationship Between Uric Acid And Substantia Nigra Brain Connectivity In Patients With Rem Sleep Behavior Disorder And Parkinson’S Disease, Timothy M. Ellmore, Jessika Suescun, Richard J. Castriotta, Mya C. Schiess Aug 2020

A Study Of The Relationship Between Uric Acid And Substantia Nigra Brain Connectivity In Patients With Rem Sleep Behavior Disorder And Parkinson’S Disease, Timothy M. Ellmore, Jessika Suescun, Richard J. Castriotta, Mya C. Schiess

Publications and Research

Low levels of the natural antioxidant uric acid (UA) and the presence of REM sleep behavior disorder (RBD) are both associated with an increased likelihood of developing Parkinson’s disease (PD). RBD and PD are also accompanied by basal ganglia dysfunction including decreased nigrostriatal and nigrocortical resting state functional connectivity. Despite these independent findings, the relationship between UA and substantia nigra (SN) functional connectivity remains unknown. In the present study, voxelwise analysis of covariance was used in a cross-sectional design to explore the relationship between UA and whole-brain SN functional connectivity using the eyes-open resting state fMRI method in controls without …


Functional Reorganization During The Recovery Of Contralesional Target Selection Deficits After Prefrontal Cortex Lesions In Macaque Monkeys, Ramina Adam, Kevin Johnston, Ravi S. Menon, Stefan Everling Feb 2020

Functional Reorganization During The Recovery Of Contralesional Target Selection Deficits After Prefrontal Cortex Lesions In Macaque Monkeys, Ramina Adam, Kevin Johnston, Ravi S. Menon, Stefan Everling

Brain and Mind Institute Researchers' Publications

© 2019 The Authors Visual extinction has been characterized by the failure to respond to a visual stimulus in the contralesional hemifield when presented simultaneously with an ipsilesional stimulus (Corbetta and Shulman, 2011). Unilateral damage to the macaque frontoparietal cortex commonly leads to deficits in contralesional target selection that resemble visual extinction. Recently, we showed that macaque monkeys with unilateral lesions in the caudal prefrontal cortex (PFC) exhibited contralesional target selection deficits that recovered over 2–4 months (Adam et al., 2019). Here, we investigated the longitudinal changes in functional connectivity (FC) of the frontoparietal network after a small or large …


Exploring The Neural Mechanisms Of Physics Learning, Jessica E. Bartley Nov 2018

Exploring The Neural Mechanisms Of Physics Learning, Jessica E. Bartley

FIU Electronic Theses and Dissertations

This dissertation presents a series of neuroimaging investigations and achievements that strive to deepen and broaden our understanding of human problem solving and physics learning. Neuroscience conceives of dynamic relationships between behavior, experience, and brain structure and function, but how neural changes enable human learning across classroom instruction remains an open question. At the same time, physics is a challenging area of study in which introductory students regularly struggle to achieve success across university instruction. Research and initiatives in neuroeducation promise a new understanding into the interactions between biology and education, including the neural mechanisms of learning and development. These …


Diffusion And Functional Mri Of The Brain Following Sports-Related Impacts And Concussion, Kathryn Y. Manning Sep 2018

Diffusion And Functional Mri Of The Brain Following Sports-Related Impacts And Concussion, Kathryn Y. Manning

Electronic Thesis and Dissertation Repository

Concussion is a prevalent injury associated with contact sports, however the underlying brain changes associated with concussion remain poorly understood. Therefore it is critical to (a) understand the complex sequelae that underlie concussion, (b) when or if the brain recovers, and (c) if there are brain changes associated with contact sports in general. Advanced imaging techniques may be sensitive to changes that persist beyond relatively prompt symptom recovery and clearance to return to play.

Resting state functional MRI (RS-fMRI) and diffusion tensor imaging (DTI) data was acquired on the 3T at Robarts Research Institute from healthy and concussed athletes from …


The Motor Cortical Representation Of A Muscle Is Not Homogeneous In Brain Connectivity, Jo Armour Smith, Alaa Albishi, Sarine Babikian, Skulpan Asavasopon, Beth E. Fisher, Jason Kutch Jun 2017

The Motor Cortical Representation Of A Muscle Is Not Homogeneous In Brain Connectivity, Jo Armour Smith, Alaa Albishi, Sarine Babikian, Skulpan Asavasopon, Beth E. Fisher, Jason Kutch

Physical Therapy Faculty Articles and Research

Functional connectivity patterns of the motor cortical representational area of single muscles have not been extensively mapped in humans, particularly for the axial musculature. Functional connectivity may provide a neural substrate for adaptation of muscle activity in axial muscles that have both voluntary and postural functions. The purpose of this study was to combine brain stimulation and neuroimaging to both map the cortical representation of the external oblique (EO) in primary motor cortex (M1) and supplementary motor area (SMA), and to establish the resting-state functional connectivity associated with this representation. Motor evoked potentials were elicited from the EO muscle in …


Neural Correlates Of Episodic Memory Formation In Children And Adults, Lingfei Tang Jan 2015

Neural Correlates Of Episodic Memory Formation In Children And Adults, Lingfei Tang

Wayne State University Theses

The medial temporal lobe (MTL) and prefrontal cortex (PFC) are two key brain regions that support episodic memory formation in both children and adults, but the functional developmental of these regions remains unclear. In this study, we investigated the development of neural correlates of episodic memory formation using functional MRI with a subsequent memory paradigm, administered to a cross-sectional sample of 83 children and adults. We found that MTL subregions showed an age-related increase in activation supporting memory formation of complex scenes. In addition, a functionally defined scene-sensitive region in the posterior MTL also showed similar increase and predicted better …


Massively Parallel Nonparametric Regression, With An Application To Developmental Brain Mapping, Philip T. Reiss, Lei Huang, Yin-Hsiu Chen, Lan Huo, Thaddeus Tarpey, Maarten Mennes Feb 2014

Massively Parallel Nonparametric Regression, With An Application To Developmental Brain Mapping, Philip T. Reiss, Lei Huang, Yin-Hsiu Chen, Lan Huo, Thaddeus Tarpey, Maarten Mennes

Lei Huang

We propose a penalized spline approach to performing large numbers of parallel nonparametric analyses of either of two types: restricted likelihood ratio tests of a parametric regression model versus a general smooth alternative, and nonparametric regression. Compared with naively performing each analysis in turn, our techniques reduce computation time dramatically. Viewing the large collection of scatterplot smooths produced by our methods as functional data, we develop a clustering approach to summarize and visualize these results. Our approach is applicable to ultra-high-dimensional data, particularly data acquired by neuroimaging; we illustrate it with an analysis of developmental trajectories of functional connectivity at …


Network Dynamics Of Visual Naming, Christopher R. Conner Aug 2013

Network Dynamics Of Visual Naming, Christopher R. Conner

Dissertations & Theses (Open Access)

Recognition and naming of objects and actions are fundamental components of language. They involve several different systems working in coordination to accomplish a complex behavior. During visual naming, sensory and semantic processing are carried out by dedicated cortical substrates in the temporal and occipital lobes, while response selection and articulatory planning are handled by prefrontal cortex. Despite decades of research using lesion analysis, functional MRI and electro-encephalography, the precise dynamics involved remain unknown due to the inadequate spatio-temporal resolution of these methodologies. Of particular interest is the organization of semantic knowledge and the degree of serial and parallel organization of …


Smoothness Selection For Penalized Quantile Regression Splines, Philip T. Reiss, Lei Huang Apr 2012

Smoothness Selection For Penalized Quantile Regression Splines, Philip T. Reiss, Lei Huang

Philip T. Reiss

Modern data-rich analyses may call for fitting a large number of nonparametric quantile regressions. For example, growth charts may be constructed for each of a collection of variables, to identify those for which individuals with a disorder tend to fall in the tails of their age-specific distribution; such variables might serve as developmental biomarkers. When such analyses are carried out by penalized spline smoothing, reliable automatic selection of the smoothing parameter is particularly important. We show that two popular methods for smoothness selection may tend to overfit when estimating extreme quantiles as a smooth function of a predictor such as …


Extracting Information From Functional Connectivity Maps Via Function-On-Scalar Regression, Philip T. Reiss, Maarten Mennes, Eva Petkova, Lei Huang, Matthew J. Hoptman, Bharat B. Biswal, Stanley J. Colcombe, Xi-Nian Zuo, Michael P. Milham Dec 2010

Extracting Information From Functional Connectivity Maps Via Function-On-Scalar Regression, Philip T. Reiss, Maarten Mennes, Eva Petkova, Lei Huang, Matthew J. Hoptman, Bharat B. Biswal, Stanley J. Colcombe, Xi-Nian Zuo, Michael P. Milham

Lei Huang

Functional connectivity of an individual human brain is often studied by acquiring a resting state functional magnetic resonance imaging scan, and mapping the correlation of each voxel's BOLD time series with that of a seed region. As large collections of such maps become available, including multisite data sets, there is an increasing need for ways to distill the information in these maps in a readily visualized form. Here we propose a two-step analytic strategy. First, we construct connectivity-distance profiles, which summarize the connectivity of each voxel in the brain as a function of distance from the seed, a functional relationship …


Extracting Information From Functional Connectivity Maps Via Function-On-Scalar Regression, Philip T. Reiss, Maarten Mennes, Eva Petkova, Lei Huang, Matthew J. Hoptman, Bharat B. Biswal, Stanley J. Colcombe, Xi-Nian Zuo, Michael P. Milham Dec 2010

Extracting Information From Functional Connectivity Maps Via Function-On-Scalar Regression, Philip T. Reiss, Maarten Mennes, Eva Petkova, Lei Huang, Matthew J. Hoptman, Bharat B. Biswal, Stanley J. Colcombe, Xi-Nian Zuo, Michael P. Milham

Philip T. Reiss

Functional connectivity of an individual human brain is often studied by acquiring a resting state functional magnetic resonance imaging scan, and mapping the correlation of each voxel's BOLD time series with that of a seed region. As large collections of such maps become available, including multisite data sets, there is an increasing need for ways to distill the information in these maps in a readily visualized form. Here we propose a two-step analytic strategy. First, we construct connectivity-distance profiles, which summarize the connectivity of each voxel in the brain as a function of distance from the seed, a functional relationship …