Medicine and Health Sciences Commons^™

Precision Of Metabolite-Selective Mrs Measurements Of Glutamate, Gaba And Glutathione: A Review Of Human Brain Studies., Kesavi Kanagasabai, Lena Palaniyappan, Jean Theberge

Department of Medicine Publications

Single-voxel proton magnetic resonance spectroscopy (SV 1 H-MRS) is an in vivo noninvasive imaging technique used to detect neurotransmitters and metabolites. It enables repeated measurements in living participants to build explanatory neurochemical models of psychiatric symptoms and testing of therapeutic approaches. Given the tight link among glutamate, gamma-amino butyric acid (GABA), glutathione and glutamine within the cellular machinery, MRS investigations of neurocognitive and psychiatric disorders must quantify a network of metabolites simultaneously to capture the pathophysiological states of interest. Metabolite-selective sequences typically provide improved metabolite isolation and spectral modelling simplification for a single metabolite at a time. Non-metabolite-selective sequences provide …

Identifying Canonical And Replicable Multi-Scale Intrinsic Connectivity Networks In 100k+ Resting-State Fmri Datasets., A Iraji, Z Fu, A Faghiri, M Duda, J Chen, S Rachakonda, T Deramus, P Kochunov, B M Adhikari, A Belger, J M Ford, D H Mathalon, G D Pearlson, S G Potkin, A Preda, J A Turner, T G M Van Erp, J R Bustillo, K Yang, K Ishizuka, A Faria, A Sawa, K Hutchison, E A Osuch, Jean Theberge, C Abbott, B A Mueller, D Zhi, C Zhuo, S Liu, Y Xu, M Salman, J Liu, Y Du, J Sui, T Adali, V D Calhoun

Department of Medicine Publications

Despite the known benefits of data-driven approaches, the lack of approaches for identifying functional neuroimaging patterns that capture both individual variations and inter-subject correspondence limits the clinical utility of rsfMRI and its application to single-subject analyses. Here, using rsfMRI data from over 100k individuals across private and public datasets, we identify replicable multi-spatial-scale canonical intrinsic connectivity network (ICN) templates via the use of multi-model-order independent component analysis (ICA). We also study the feasibility of estimating subject-specific ICNs via spatially constrained ICA. The results show that the subject-level ICN estimations vary as a function of the ICN itself, the data length, …

Neuroimaging-Based Classification Of Ptsd Using Data-Driven Computational Approaches: A Multisite Big Data Study From The Enigma-Pgc Ptsd Consortium., Xi Zhu, Yoojean Kim, Orren Ravid, Xiaofu He, Benjamin Suarez-Jimenez, Sigal Zilcha-Mano, Amit Lazarov, Seonjoo Lee, Chadi G Abdallah, Michael Angstadt, Christopher L Averill, C Lexi Baird, Lee A Baugh, Jennifer U Blackford, Jessica Bomyea, Steven E Bruce, Richard A Bryant, Zhihong Cao, Kyle Choi, Josh Cisler, Andrew S Cotton, Judith K Daniels, Nicholas D Davenport, Richard J Davidson, Michael D Debellis, Emily L Dennis, Maria Densmore, Terri Deroon-Cassini, Seth G Disner, Wissam El Hage, Amit Etkin, Negar Fani, Kelene A Fercho, Jacklynn Fitzgerald, Gina L Forster, Jessie L Frijling, Elbert Geuze, Atilla Gonenc, Evan M Gordon, Staci Gruber, Daniel W Grupe, Jeffrey P Guenette, Courtney C Haswell, Ryan J Herringa, Julia Herzog, David Bernd Hofmann, Bobak Hosseini, Anna R Hudson, Ashley A Huggins, Jonathan C Ipser, Neda Jahanshad, Meilin Jia-Richards, Tanja Jovanovic, Milissa L Kaufman, Mitzy Kennis, Anthony King, Philipp Kinzel, Saskia B J Koch, Inga K Koerte, Sheri M Koopowitz, Mayuresh S Korgaonkar, John H Krystal, Ruth Lanius, Christine L Larson, Lauren A M Lebois, Gen Li, Israel Liberzon, Guang Ming Lu, Yifeng Luo, Vincent A Magnotta, Antje Manthey, Adi Maron-Katz, Geoffery May, Katie Mclaughlin, Sven C Mueller, Laura Nawijn, Steven M Nelson, Richard W J Neufeld, Jack B Nitschke, Erin M O'Leary, Bunmi O Olatunji, Miranda Olff, Matthew Peverill, K Luan Phan, Rongfeng Qi, Yann Quidé, Ivan Rektor, Kerry Ressler, Pavel Riha, Marisa Ross, Isabelle M Rosso, Lauren E Salminen, Kelly Sambrook, Christian Schmahl, Martha E Shenton, Margaret Sheridan, Chiahao Shih, Maurizio Sicorello, Anika Sierk, Alan N Simmons, Raluca M Simons, Jeffrey S Simons, Scott R Sponheim, Murray B Stein, Dan J Stein, Jennifer S Stevens, Thomas Straube, Delin Sun, Jean Theberge, Paul M Thompson, Sophia I Thomopoulos, Nic J A Van Der Wee, Steven J A Van Der Werff, Theo G M Van Erp, Sanne J H Van Rooij, Mirjam Van Zuiden, Tim Varkevisser, Dick J Veltman, Robert R J M Vermeiren, Henrik Walter, Li Wang, Xin Wang, Carissa Weis, Sherry Winternitz, Hong Xie, Ye Zhu, Melanie Wall, Yuval Neria, Rajendra A Morey

Department of Medicine Publications

BACKGROUND: Recent advances in data-driven computational approaches have been helpful in devising tools to objectively diagnose psychiatric disorders. However, current machine learning studies limited to small homogeneous samples, different methodologies, and different imaging collection protocols, limit the ability to directly compare and generalize their results. Here we aimed to classify individuals with PTSD versus controls and assess the generalizability using a large heterogeneous brain datasets from the ENIGMA-PGC PTSD Working group.

METHODS: We analyzed brain MRI data from 3,477 structural-MRI; 2,495 resting state-fMRI; and 1,952 diffusion-MRI. First, we identified the brain features that best distinguish individuals with PTSD from controls …

Variability And Magnitude Of Brain Glutamate Levels In Schizophrenia: A Meta And Mega-Analysis., Kate Merritt, Robert A Mccutcheon, André Aleman, Sarah Ashley, Katherine Beck, Wolfgang Block, Oswald J N Bloemen, Faith Borgan, Christiana Boules, Juan R Bustillo, Aristides A Capizzano, Jennifer M Coughlin, Anthony David, Camilo De La Fuente-Sandoval, Arsime Demjaha, Kara Dempster, Kim Q Do, Fei Du, Peter Falkai, Beata Galińska-Skok, Jürgen Gallinat, Charles Gasparovic, Cedric E Ginestet, Naoki Goto, Ariel Graff-Guerrero, Beng-Choon Ho, Oliver Howes, Sameer Jauhar, Peter Jeon, Tadafumi Kato, Charles A Kaufmann, Lawrence S Kegeles, Matcheri S Keshavan, Sang-Young Kim, Bridget King, Hiroshi Kunugi, J Lauriello, Pablo León-Ortiz, Edith Liemburg, Meghan E Mcilwain, Gemma Modinos, Elias Mouchlianitis, Jun Nakamura, Igor Nenadic, Dost Öngür, Miho Ota, Lena Palaniyappan, Christos Pantelis, Tulsi Patel, Eric Plitman, Sotirios Posporelis, Scot E Purdon, Jürgen R Reichenbach, Perry F Renshaw, Francisco Reyes-Madrigal, Bruce R Russell, Akira Sawa, Martin Schaefer, Dikoma C Shungu, Stefan Smesny, Jeffrey A Stanley, James Stone, Agata Szulc, Reggie Taylor, Katharine N Thakkar, Jean Theberge, Philip G Tibbo, Thérèse Van Amelsvoort, Jerzy Walecki, Peter C Williamson, Stephen J Wood, Lijing Xin, Hidenori Yamasue, Philip Mcguire, Alice Egerton

Department of Medicine Publications

Glutamatergic dysfunction is implicated in schizophrenia pathoaetiology, but this may vary in extent between patients. It is unclear whether inter-individual variability in glutamate is greater in schizophrenia than the general population. We conducted meta-analyses to assess (1) variability of glutamate measures in patients relative to controls (log coefficient of variation ratio: CVR); (2) standardised mean differences (SMD) using Hedges g; (3) modal distribution of individual-level glutamate data (Hartigan's unimodality dip test). MEDLINE and EMBASE databases were searched from inception to September 2022 for proton magnetic resonance spectroscopy (1H-MRS) studies reporting glutamate, glutamine or Glx in schizophrenia. 123 studies reporting on …

Premotor And Posterior Parietal Cortex Activity Is Increased For Slow, As Well As Fast Walking Poststroke: An Fnirs Study, Shannon B Lim, Sue Peters, Chieh-Ling Yang, Lara A Boyd, Teresa Liu-Ambrose, Janice J Eng

Physical Therapy Publications

Background and Purpose. The ability to change gait speeds is important for interacting with the surrounding environment. Gait speed modulation poststroke is often impaired and is related to decreased walking independence after stroke. Assessment of brain activation during walking at different speeds can provide insight into important regions for facilitating gait recovery. The purpose is to determine: (1) the symmetry of brain activation as individuals increase or decrease their gait speed, (2) the activation levels in frontal to parietal brain regions during walking at different speeds, and (3) the relationship between an individual’s stroke impairment or their ability to modulate …

Increased Top-Down Control Of Emotions During Symptom Provocation Working Memory Tasks Following A Rct Of Alpha-Down Neurofeedback In Ptsd., Saurabh Bhaskar Shaw, Andrew A Nicholson, Tomas Ros, Sherain Harricharan, Braeden Terpou, Maria Densmore, Jean Theberge, Paul Frewen, Ruth A Lanius

Department of Medicine Publications

BACKGROUND: Posttraumatic stress disorder (PTSD) has been found to be associated with emotion under-modulation from the prefrontal cortex and a breakdown of the top-down control of cognition and emotion. Novel adjunct therapies such as neurofeedback (NFB) have been shown to normalize aberrant neural circuits that underlie PTSD psychopathology at rest. However, little evidence exists for NFB-linked neural improvements under emotionally relevant cognitive load. The current study sought to address this gap by examining the effects of alpha-down NFB in the context of an emotional n-back task.

METHODS: We conducted a 20-week double-blind randomized, sham-controlled trial of alpha-down NFB and collected …

How The Body Remembers: Examining The Default Mode And Sensorimotor Networks During Moral Injury Autobiographical Memory Retrieval In Ptsd., Breanne E Kearney, Braeden A Terpou, Maria Densmore, Saurabh B Shaw, Jean Theberge, Rakesh Jetly, Margaret C Mckinnon, Ruth A Lanius

Department of Medicine Publications

Neural representations of sensory percepts and motor responses constitute key elements of autobiographical memory. However, these representations may remain as unintegrated sensory and motor fragments in traumatic memory, thus contributing toward re-experiencing and reliving symptoms in trauma-related conditions such as post-traumatic stress disorder (PTSD). Here, we investigated the sensorimotor network (SMN) and posterior default mode network (pDMN) using a group independent component analysis (ICA) by examining their functional connectivity during a script-driven memory retrieval paradigm of (potentially) morally injurious events in individuals with PTSD and healthy controls. Moral injury (MI), where an individual acts or fails to act in a …

Association Of Pediatric Buccal Epigenetic Age Acceleration With Adverse Neonatal Brain Growth And Neurodevelopmental Outcomes Among Children Born Very Preterm With A Neonatal Infection., Noha Gomaa, Chaini Konwar, Nicole Gladish, Stephanie H Au-Young, Ting Guo, Min Sheng, Sarah M Merrill, Edmond Kelly, Vann Chau, Helen M Branson, Linh G Ly, Emma G Duerden, Ruth E Grunau, Michael S Kobor, Steven P Miller

Department of Medicine Publications

IMPORTANCE: Very preterm neonates (24-32 weeks' gestation) remain at a higher risk of morbidity and neurodevelopmental adversity throughout their lifespan. Because the extent of prematurity alone does not fully explain the risk of adverse neonatal brain growth or neurodevelopmental outcomes, there is a need for neonatal biomarkers to help estimate these risks in this population.

OBJECTIVES: To characterize the pediatric buccal epigenetic (PedBE) clock-a recently developed tool to measure biological aging-among very preterm neonates and to assess its association with the extent of prematurity, neonatal comorbidities, neonatal brain growth, and neurodevelopmental outcomes at 18 months of age.

DESIGN, SETTING, AND …

Planning System For The Optimization Of Electric Field Delivery Using Implanted Electrodes For Brain Tumor Control, Erin Iredale, Brynn Voigt, Adam Rankin, Kyungho W Kim, Jeff Z Chen, Susanne Schmid, Matthew O Hebb, Terry M Peters, Eugene Wong

Anatomy and Cell Biology Publications

BACKGROUND: The use of non-ionizing electric fields from low-intensity voltage sources (< 10 V) to control malignant tumor growth is showing increasing potential as a cancer treatment modality. A method of applying these low-intensity electric fields using multiple implanted electrodes within or adjacent to tumor volumes has been termed as intratumoral modulation therapy (IMT).

PURPOSE: This study explores advancements in the previously established IMT optimization algorithm, and the development of a custom treatment planning system for patient-specific IMT. The practicality of the treatment planning system is demonstrated by implementing the full optimization pipeline on a brain phantom with robotic electrode implantation, postoperative imaging, and treatment stimulation.

METHODS: The integrated planning pipeline in 3D Slicer begins with importing and segmenting patient magnetic resonance images (MRI) or computed tomography (CT) images. The segmentation process is manual, followed by a semi-automatic smoothing step that allows …

Resistance Training Improves White Matter Structural Connectivity In Older Adults At-Risk For Cognitive Decline, Ryu Lien

Undergraduate Student Research Internships Conference

Diabetes is a global health concern that impacts 415 million people worldwide. Individuals who are at-risk for diabetes (characterized by high blood glucose and/or being overweight) have white matter atrophy, decreased cognitive function, and an increased risk of Alzheimer’s disease (AD). Recently, resistance training (RT) has been shown to lower white matter atrophy and white matter lesion volume. However, investigating changes in white matter tracts is complex, hence previous findings remain inconclusive. Diffusion tensor imaging (DTI) serves as a highly sensitive tool that enables visualization and characterization of white matter tracts and has the potential to combat this complexity. The …

Discovering The Brain Activation Patterns Associated With Somatosensory Stimulation In The Lower Extremity In Healthy Adults At Rest: Preliminary Results For A Systematic Review, Siying Luan

Undergraduate Student Research Internships Conference

Stroke, which is the leading cause of disability and the third leading cause of death in adults in North America, burdens millions of people as they age. When people experience the long-lasting consequences of stroke, such as limited mobility, the rehabilitation process becomes critical. The mechanism behind walking is supported by a complex system, the somatosensory nervous system. This system transmits information that is essential for one to complete daily tasks, which means the relationship between the somatosensory system and walking is critical to understand for future innovative rehabilitation interventions. Thus, we are investigating the brain activation patterns associated with …

Rapid Recovery Of Cerebral Blood Content And Oxygenation In Adults From Time-Resolved Near-Infrared Spectroscopy, David J. F. Cohen

Electronic Thesis and Dissertation Repository

Patient neurological outcomes following cardiac surgery are improved when near-infrared spectroscopy (NIRS) is used to optimize intraoperative cerebral oxygen delivery. However, current NIRS analysis methods have difficulties monitoring adult brains due to contamination from the extracerebral layer (ECL).

The objective of this thesis is to develop a time-resolved (TR) NIRS data analysis method for monitoring adult cerebral oxygen saturation (ScO2) and total hemoglobin (HbT) by assuming the head is composed of two layers – the ECL and the brain. We tested the validity of this assumption using in silico data from an adult human head using two approaches; a few-wavelength, …

Direct Visualization And Characterization Of The Human Zona Incerta And Surrounding Structures, Jonathan C. Lau, Yiming Xiao, Roy A.M. Haast, Greydon Gilmore, Kâmil Uludağ, Keith W. Macdougall, Ravi S. Menon, Andrew G. Parrent, Terry M. Peters, Ali R. Khan

Brain and Mind Institute Researchers' Publications

The zona incerta (ZI) is a small gray matter region of the deep brain first identified in the 19th century, yet direct in vivo visualization and characterization has remained elusive. Noninvasive detection of the ZI and surrounding region could be critical to further our understanding of this widely connected but poorly understood deep brain region and could contribute to the development and optimization of neuromodulatory therapies. We demonstrate that high resolution (submillimetric) longitudinal (T1) relaxometry measurements at high magnetic field strength (7 T) can be used to delineate the ZI from surrounding white matter structures, specifically the fasciculus cerebellothalamicus, fields …

The Effects Of Exercise On Cognition, Mobility, And Neuroimaging Outcomes In Older Adults Without Dementia, Narlon Cassio Boa Sorte Silva

Electronic Thesis and Dissertation Repository

Cognitive decline is increasing with the aging population and, at present, there is no effective pharmacologic treatment available. Exercise interventions may impart protection against cognitive decline. A novel exercise approach is multiple-modality exercise (MME; aerobic, resistance, and balance exercise) with mind-motor training. Mind-motor training is a promising intervention in the study of cognitive function. Combining MME with mind-motor training may improve or maintain cognition and provide prevention of dementia early in the course of cognitive decline. Individuals with subjective cognitive complaints (SCC) comprise an at-risk group early in the spectrum of cognitive decline that could be targeted for prevention. The …

Growth Hormone Deficiency In Megalencephaly-Capillary Malformation Syndrome: An Association With Activating Mutations In Pik3ca, Shanlee Davis, Meredith A Ware, Jordan Zeiger, Matthew A Deardorff, Katheryn Grand, Adda Grimberg, Stephanie Hsu, Megan Kelsey, Shideh Majidi, Revi P Matthew, Melanie Napier, Natalie Nokoff, Chitra Prasad, Andrew C Riggs, Margaret L Mckinnon, Ghayda Mirzaa

Paediatrics Publications

Megalencephaly-capillary malformation syndrome (MCAP) is a brain overgrowth disorder characterized by cortical malformations (specifically polymicrogyria), vascular anomalies, and segmental overgrowth secondary to somatic activating mutations in the PI3K-AKT-MTOR pathway (PIK3CA). Cases of growth failure and hypoglycemia have been reported in patients with MCAP, raising the suspicion for unappreciated growth hormone (GH) deficiency. Here we report an observational multicenter study of children with MCAP and GH deficiency. Eleven participants were confirmed to have GH deficiency, all with very low or undetectable circulating concentrations of insulin-like growth factor-1 and insulin-like growth factor binding protein-3. Seven underwent GH stimulation testing and all had …

Classifying Heterogeneous Presentations Of Ptsd Via The Default Mode, Central Executive, And Salience Networks With Machine Learning., Andrew A Nicholson, Sherain Harricharan, Maria Densmore, Richard W J Neufeld, Tomas Ros, Margaret C Mckinnon, Paul A Frewen, Jean Theberge, Rakesh Jetly, David Pedlar, Ruth A Lanius

Department of Medicine Publications

Intrinsic connectivity networks (ICNs), including the default mode network (DMN), the central executive network (CEN), and the salience network (SN) have been shown to be aberrant in patients with posttraumatic stress disorder (PTSD). The purpose of the current study was to a) compare ICN functional connectivity between PTSD, dissociative subtype PTSD (PTSD+DS) and healthy individuals; and b) to examine the use of multivariate machine learning algorithms in classifying PTSD, PTSD+DS, and healthy individuals based on ICN functional activation. Our neuroimaging dataset consisted of resting-state fMRI scans from 186 participants [PTSD (n = 81); PTSD + DS (n = 49); and …

Cortical Activation During Shoulder And Finger Movements In Healthy Adults: A Functional Near-Infrared Spectroscopy (Fnirs) Study., Chieh-Ling Yang, Shannon B Lim, Sue Peters, Janice J Eng

Physical Therapy Publications

Characterization of cortical activation patterns during movement of the upper extremity in healthy adults is helpful in understanding recovery mechanisms following neurological disorders. This study explores cortical activation patterns associated with movements of the shoulder and fingers in healthy adults using functional near-infrared spectroscopy (fNIRS). Twelve healthy right-handed participants were recruited. Two motor tasks (shoulder abduction and finger extension) with two different trial lengths (10 s and 20 s) were performed in a sitting position at a rate of 0.5 Hz. The hemodynamic response, as indicated by oxy-hemoglobin (HbO) and deoxy-hemoglobin (HbR), over both hemispheres was acquired using a 54-channel …

Direct Visualization And Characterization Of The Human Zona Incerta And Surrounding Structures, Jonathan C. Lau, Yiming Xiao, Roy A.M. Haast, Greydon Gilmore, Kâmil Uludağ, Keith W. Macdougall, Ravi S. Menon, Andrew G. Parrent, Terry M. Peters, Ali R. Khan

Medical Biophysics Publications

© 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. The zona incerta (ZI) is a small gray matter region of the deep brain first identified in the 19th century, yet direct in vivo visualization and characterization has remained elusive. Noninvasive detection of the ZI and surrounding region could be critical to further our understanding of this widely connected but poorly understood deep brain region and could contribute to the development and optimization of neuromodulatory therapies. We demonstrate that high resolution (submillimetric) longitudinal (T1) relaxometry measurements at high magnetic field strength (7 T) can be used to delineate …

A Randomized, Controlled Trial Of Alpha-Rhythm Eeg Neurofeedback In Posttraumatic Stress Disorder: A Preliminary Investigation Showing Evidence Of Decreased Ptsd Symptoms And Restored Default Mode And Salience Network Connectivity Using Fmri., Andrew A Nicholson, Tomas Ros, Maria Densmore, Paul A Frewen, Richard W J Neufeld, Jean Theberge, Rakesh Jetly, Ruth A Lanius

Department of Medicine Publications

OBJECTIVE: The default-mode network (DMN) and salience network (SN) have been shown to display altered connectivity in posttraumatic stress disorder (PTSD). Restoring aberrant connectivity within these networks with electroencephalogram neurofeedback (EEG-NFB) has been shown previously to be associated with acute decreases in symptoms. Here, we conducted a double-blind, sham-controlled randomized trial of alpha-rhythm EEG-NFB in participants with PTSD (n = 36) over 20-weeks. Our aim was to provide mechanistic evidence underlying clinical improvements by examining changes in network connectivity via fMRI.

METHODS: We randomly assigned participants with a primary diagnosis of PTSD to either the experimental group (n = 18) …

An Accurate Registration Of The Bigbrain Dataset With The Mni Pd25 And Icbm152 Atlases., Yiming Xiao, Jonathan C Lau, Taylor Anderson, Jordan Dekraker, D Louis Collins, Terry Peters, Ali R Khan

Brain and Mind Institute Researchers' Publications

Brain atlases that encompass detailed anatomical or physiological features are instrumental in the research and surgical planning of various neurological conditions. Magnetic resonance imaging (MRI) has played important roles in neuro-image analysis while histological data remain crucial as a gold standard to guide and validate such analyses. With cellular-scale resolution, the BigBrain atlas offers 3D histology of a complete human brain, and is highly valuable to the research and clinical community. To bridge the insights at macro- and micro-levels, accurate mapping of BigBrain and established MRI brain atlases is necessary, but the existing registration is unsatisfactory. The described dataset includes …

A Framework For Evaluating Correspondence Between Brain Images Using Anatomical Fiducials., Jonathan C Lau, Andrew G Parrent, John Demarco, Geetika Gupta, Jason Kai, Olivia W Stanley, Tristan Kuehn, Patrick J Park, Kayla Ferko, Ali R Khan, Terry M Peters

Brain and Mind Institute Researchers' Publications

Accurate spatial correspondence between template and subject images is a crucial step in neuroimaging studies and clinical applications like stereotactic neurosurgery. In the absence of a robust quantitative approach, we sought to propose and validate a set of point landmarks, anatomical fiducials (AFIDs), that could be quickly, accurately, and reliably placed on magnetic resonance images of the human brain. Using several publicly available brain templates and individual participant datasets, novice users could be trained to place a set of 32 AFIDs with millimetric accuracy. Furthermore, the utility of the AFIDs protocol is demonstrated for evaluating subject-to-template and template-to-template registration. Specifically, …

Methodological Consensus On Clinical Proton Mrs Of The Brain: Review And Recommendations, Martin Wilson, Ovidiu Andronesi, Peter B. Barker, Robert Bartha, Alberto Bizzi, Patrick J. Bolan, Kevin M. Brindle, In Young Choi, Cristina Cudalbu, Ulrike Dydak, Uzay E. Emir, Ramon G. Gonzalez, Stephan Gruber, Rolf Gruetter, Rakesh K. Gupta, Arend Heerschap, Anke Henning, Hoby P. Hetherington, Petra S. Huppi, Ralph E. Hurd, Kejal Kantarci, Risto A. Kauppinen, Dennis W.J. Klomp, Roland Kreis, Marijn J. Kruiskamp, Martin O. Leach, Alexander P. Lin, Peter R. Luijten, Małgorzata Marjańska, Andrew A. Maudsley, Dieter J. Meyerhoff, Carolyn E. Mountford

Medical Biophysics Publications

© 2019 International Society for Magnetic Resonance in Medicine Proton MRS (1H MRS) provides noninvasive, quantitative metabolite profiles of tissue and has been shown to aid the clinical management of several brain diseases. Although most modern clinical MR scanners support MRS capabilities, routine use is largely restricted to specialized centers with good access to MR research support. Widespread adoption has been slow for several reasons, and technical challenges toward obtaining reliable good-quality results have been identified as a contributing factor. Considerable progress has been made by the research community to address many of these challenges, and in this paper a …

Brain Activity Associated With Dual-Task Performance Of Ankle Motor Control During Cognitive Challenge., Sue Peters, Janice J Eng, Teresa Liu-Ambrose, Michael R Borich, Elizabeth Dao, Ameen Amanian, Lara A Boyd

Physical Therapy Publications

INTRODUCTION: Skilled Ankle motor control is frequently required while performing secondary cognitively demanding tasks such as socializing and avoiding obstacles while walking, termed "Dual tasking." It is likely that Dual-task performance increases demand on the brain, as both motor and cognitive systems require neural resources. The purpose of this study was to use functional MRI to understand which brain regions are involved in resolving Dual-task interference created by requiring high levels of Ankle motor control during a cognitive task.

METHODS: Using functional MRI, brain activity was measured in sixteen young adults during performance of visually cued Ankle plantar flexion to …

Linked Mri Signatures Of The Brain's Acute And Persistent Response To Concussion In Female Varsity Rugby Players., Kathryn Y Manning, Alberto Llera, Gregory A Dekaban, Robert Bartha, Christy Barreira, Arthur Brown, Lisa Fischer, Tatiana Jevremovic, Kevin Blackney, Timothy J Doherty, Douglas D Fraser, Jeff Holmes, Christian F Beckmann, Ravi S Menon

Paediatrics Publications

Acute brain changes are expected after concussion, yet there is growing evidence of persistent abnormalities well beyond clinical recovery and clearance to return to play. Multiparametric MRI is a powerful approach to non-invasively study structure-function relationships in the brain, however it remains challenging to interpret the complex and heterogeneous cascade of brain changes that manifest after concussion. Emerging conjunctive, data-driven analysis approaches like linked independent component analysis can integrate structural and functional imaging data to produce linked components that describe the shared inter-subject variance across images. These linked components not only offer the potential of a more comprehensive understanding of …

Magnetic Resonance Imaging In The Diagnosis Of White Matter Signal Abnormalities., Ravi Datar, Asuri Narayan Prasad, Keng Yeow Tay, Charles Anthony Rupar, Pavlo Ohorodnyk, Michael Miller, Chitra Prasad

Paediatrics Publications

Background White matter abnormalities (WMAs) pose a diagnostic challenge when trying to establish etiologic diagnoses. During childhood and adult years, genetic disorders, metabolic disorders and acquired conditions are included in differential diagnoses. To assist clinicians and radiologists, a structured algorithm using cranial magnetic resonance imaging (MRI) has been recommended to aid in establishing working diagnoses that facilitate appropriate biochemical and genetic investigations. This retrospective pilot study investigated the validity and diagnostic utility of this algorithm when applied to white matter signal abnormalities (WMSAs) reported on imaging studies of patients seen in our clinics. Methods The MRI algorithm was applied to …

Nutrient Intake In The First Two Weeks Of Life And Brain Growth In Preterm Neonates., Juliane Schneider, Céline J Fischer Fumeaux, Emma G Duerden, Ting Guo, Justin Foong, Myriam Bickle Graz, Patric Hagmann, M Mallar Chakravarty, Petra S Hüppi, Lydie Beauport, Anita C Truttmann, Steven P Miller

Brain and Mind Institute Researchers' Publications

BACKGROUND: Optimizing early nutritional intake in preterm neonates may promote brain health and neurodevelopment through enhanced brain maturation. Our objectives were (1) to determine the association of energy and macronutrient intake in the first 2 weeks of life with regional and total brain growth and white matter (WM) maturation, assessed by 3 serial MRI scans in preterm neonates; (2) to examine how critical illness modifies this association; and (3) to investigate the relationship with neurodevelopmental outcomes.

METHODS: Forty-nine preterm neonates (21 boys, median [interquartile range] gestational age: 27.6 [2.3] weeks) were scanned serially at the following median postmenstrual weeks: 29.4, …

Human Neuroimaging Reveals The Subcomponents Of Grasping, Reaching And Pointing Actions., Cristiana Cavina-Pratesi, Jason D Connolly, Simona Monaco, Teresa D Figley, A David Milner, Thomas Schenk, Jody C Culham

Brain and Mind Institute Researchers' Publications

Although the neural underpinnings of visually guided grasping and reaching have been well delineated within lateral and medial fronto-parietal networks (respectively), the contributions of subcomponents of visuomotor actions have not been explored in detail. Using careful subtraction logic, here we investigated which aspects of grasping, reaching, and pointing movements drive activation across key areas within visuomotor networks implicated in hand actions. For grasping tasks, we find activation differences based on the precision required (fine > coarse grip: anterior intraparietal sulcus, aIPS), the requirement to lift the object (grip + lift > grip: aIPS; dorsal premotor cortex, PMd; and supplementary motor area, SMA), …

Disruption To Functional Networks In Neonates With Perinatal Brain Injury Predicts Motor Skills At 8 Months, Annika C Linke, Conor Wild, Leire Zubiaurre-Elorza, Charlotte Herzmann, Hester Duffy, Victor K Han, David S C Lee, Rhodri Cusack

Paediatrics Publications

Objective

Functional connectivity magnetic resonance imaging (fcMRI) of neonates with perinatal brain injury could improve prediction of motor impairment before symptoms manifest, and establish how early brain organization relates to subsequent development. This cohort study is the first to describe and quantitatively assess functional brain networks and their relation to later motor skills in neonates with a diverse range of perinatal brain injuries.

Methods

Infants (n = 65, included in final analyses: n = 53) were recruited from the neonatal intensive care unit (NICU) and were stratified based on their age at birth (prematurevs. term), and on whether neuropathology …

Identification Of A Novel Synaptic Protein, Tmtc3, Involved In Periventricular Nodular Heterotopia With Intellectual Disability And Epilepsy, Sali M K Farhan, Kevin C J Nixon, Michelle Everest, Tara N Edwards, Shirley Long, Dmitri Segal, Maria J Knip, Heleen H Arts, Rana Chakrabarti, Jian Wang, John F Robinson, Donald Lee, Seyed M Mirsattari, C Anthony Rupar, Victoria M Siu, Forge Canada Consortium, Michael O Poulter, Robert A Hegele, Jamie M Kramer

Paediatrics Publications

Defects in neuronal migration cause brain malformations, which are associated with intellectual disability (ID) and epilepsy. Using exome sequencing, we identified compound heterozygous variants (p.Arg71His and p. Leu729ThrfsTer6) in TMTC3, encoding transmembrane and tetratricopeptide repeat containing 3, in four siblings with nocturnal seizures and ID. Three of the four siblings have periventricular nodular heterotopia (PVNH), a common brain malformation caused by failure of neurons to migrate from the ventricular zone to the cortex. Expression analysis using patient-derived cells confirmed reduced TMTC3 transcript levels and loss of the TMTC3 protein compared to parental and control cells. As TMTC3 function is currently …

Is Allocation Of Attention Impaired In Fallers Compared To Non-Fallers? An Event-Related Potential Study, Phil Parrot-Migas

Electronic Thesis and Dissertation Repository

Approximately 30% of older adults experience one or more falls annually. The ability to properly allocate attention may be a risk factor falls. Our study examined whether older adults (aged 58-79) with a history of falls, allocated attention differently to auditory distractor stimuli compared to those without a history of falls, and whether such differences subsequently altered cognitive processing of visual target stimuli. We examined allocation of attention using event-related potentials (ERPs) as participants responded to visual targets while ignoring task-irrelevant auditory distractors. A posterior to anterior shift in electrical brain activity was exaggerated in the faller group compared to …