Medicine and Health Sciences Commons^™

Mirna Expression Is Increased In Serum From Patients With Semantic Variant Primary Progressive Aphasia, Maria Serpente, Laura Ghezzi, Chiara Fenoglio, Francesca R Buccellato, Giorgio G Fumagalli, Emanuela Rotondo, Marina Arcaro, Andrea Arighi, Daniela Galimberti

2020-Current year OA Pubs

Primary progressive aphasia (PPA) damages the parts of the brain that control speech and language. There are three clinical PPA variants: nonfluent/agrammatic (nfvPPA), logopenic (lvPPA) and semantic (svPPA). The pathophysiology underlying PPA variants is not fully understood, including the role of micro (mi)RNAs which were previously shown to play a role in several neurodegenerative diseases. Using a two-step analysis (array and validation through real-time PCR), we investigated the miRNA expression pattern in serum from 54 PPA patients and 18 controls. In the svPPA cohort, we observed a generalized upregulation of miRNAs with miR-106b-5p and miR-133a-3p reaching statistical significance (miR-106b-5p: 2.69 …

Effect Of Race On Prediction Of Brain Amyloidosis By Plasma Aβ42/Aβ40, Phosphorylated Tau, And Neurofilament Light, Suzanne E Schindler, Rachel L Henson, Yan Li, Benjamin Saef, Krista L Moulder, David Bradford, Anne M Fagan, Brian A Gordon, Tammie L S Benzinger, Joyce Balls-Berry, Randall J Bateman, Chengjie Xiong, John C Morris, Et Al

2020-Current year OA Pubs

BACKGROUND AND OBJECTIVES: To evaluate whether plasma biomarkers of amyloid (Aβ42/Aβ40), tau (p-tau181 and p-tau231), and neuroaxonal injury (neurofilament light chain [NfL]) detect brain amyloidosis consistently across racial groups.

METHODS: Individuals enrolled in studies of memory and aging who self-identified as African American (AA) were matched 1:1 to self-identified non-Hispanic White (NHW) individuals by age,

RESULTS: There were 76 matched pairs of AA and NHW participants (n = 152 total). For both AA and NHW groups, the median age was 68.4 years, 42% were

DISCUSSION: Models predicting brain amyloidosis using a high-performance plasma Aβ42/Aβ40 assay may provide an accurate and …

Post-Stroke Reorganization Of Transient Brain Activity Characterizes Deficits And Recovery Of Cognitive Functions, Elvira Pirondini, Nawal Kinany, Cécile Le Sueur, Joseph C Griffis, Gordon L Shulman, Maurizio Corbetta, Dimitri Van De Ville

2020-Current year OA Pubs

Functional magnetic resonance imaging (fMRI) has been widely employed to study stroke pathophysiology. In particular, analyses of fMRI signals at rest were directed at quantifying the impact of stroke on spatial features of brain networks. However, brain networks have intrinsic time features that were, so far, disregarded in these analyses. In consequence, standard fMRI analysis failed to capture temporal imbalance resulting from stroke lesions, hence restricting their ability to reveal the interdependent pathological changes in structural and temporal network features following stroke. Here, we longitudinally analyzed hemodynamic-informed transient activity in a large cohort of stroke patients (n = 103) to …

Accuracy And Reliability Of Diffusion Imaging Models, Nicole A. Seider, Babatunde Adeyemo, Ryland Miller, Dillan J. Newbold, Jacqueline M. Hampton, Kristen M. Scheidter, Jerrel Rutlin, Timothy O. Laumann, Jarod L. Roland, David F. Montez, Andrew N. Van, Annie Zheng, Scott Marek, Benjamin P. Kay, G. Larry Bretthorst, Yong Wang, Steven E. Petersen, Deanna M. Barch, Evan M. Gordon, Abraham Z. Snyder, Joshua S. Shimony, Nico U. F. Dosenbach

2020-Current year OA Pubs

Diffusion imaging aims to non-invasively characterize the anatomy and integrity of the brain's white matter fibers. We evaluated the accuracy and reliability of commonly used diffusion imaging methods as a function of data quantity and analysis method, using both simulations and highly sampled individual-specific data (927-1442 diffusion weighted images [DWIs] per individual). Diffusion imaging methods that allow for crossing fibers (FSL's BedpostX [BPX], DSI Studio's Constant Solid Angle Q-Ball Imaging [CSA-QBI], MRtrix3's Constrained Spherical Deconvolution [CSD]) estimated excess fibers when insufficient data were present and/or when the data did not match the model priors. To reduce such overfitting, we developed …

Face Identity Coding In The Deep Neural Network And Primate Brain, Jinge Wang, Runnan Cao, Nicholas J Brandmeir, Xin Li, Shuo Wang

2020-Current year OA Pubs

A central challenge in face perception research is to understand how neurons encode face identities. This challenge has not been met largely due to the lack of simultaneous access to the entire face processing neural network and the lack of a comprehensive multifaceted model capable of characterizing a large number of facial features. Here, we addressed this challenge by conducting in silico experiments using a pre-trained face recognition deep neural network (DNN) with a diverse array of stimuli. We identified a subset of DNN units selective to face identities, and these identity-selective units demonstrated generalized discriminability to novel faces. Visualization …

Precise Topology Of Adjacent Domain-General And Sensory-Biased Regions In The Human Brain, Moataz Assem, Sneha Shashidhara, Matthew F Glasser, John Duncan

2020-Current year OA Pubs

Recent functional MRI studies identified sensory-biased regions across much of the association cortices and cerebellum. However, their anatomical relationship to multiple-demand (MD) regions, characterized as domain-general due to their coactivation during multiple cognitive demands, remains unclear. For a better anatomical delineation, we used multimodal MRI techniques of the Human Connectome Project to scan subjects performing visual and auditory versions of a working memory (WM) task. The contrast between hard and easy WM showed strong domain generality, with essentially identical patterns of cortical, subcortical, and cerebellar MD activity for visual and auditory materials. In contrast, modality preferences were shown by contrasting …

Real-Time Motion Monitoring Improves Functional Mri Data Quality In Infants, Carolina Badke D'Andrea, Jeanette K Kenley, David F Montez, Amy E Mirro, Ryland L Miller, Eric A Earl, Jonathan M Koller, Sooyeon Sung, Essa Yacoub, Jed T Elison, Damien A Fair, Nico U F Dosenbach, Cynthia E Rogers, Christopher D Smyser, Deanna J Greene

2020-Current year OA Pubs

Imaging the infant brain with MRI has improved our understanding of early neurodevelopment. However, head motion during MRI acquisition is detrimental to both functional and structural MRI scan quality. Though infants are typically scanned while asleep, they commonly exhibit motion during scanning causing data loss. Our group has shown that providing MRI technicians with real-time motion estimates via Framewise Integrated Real-Time MRI Monitoring (FIRMM) software helps obtain high-quality, low motion fMRI data. By estimating head motion in real time and displaying motion metrics to the MR technician during an fMRI scan, FIRMM can improve scanning efficiency. Here, we compared average …

Surprise And Recency In Novelty Detection In The Primate Brain, Kaining Zhang, Ethan S Bromberg-Martin, Fatih Sogukpinar, Kim Kocher, Ilya E Monosov

2020-Current year OA Pubs

Primates and other animals must detect novel objects. However, the neuronal mechanisms of novelty detection remain unclear. Prominent theories propose that visual object novelty is either derived from the computation of recency (how long ago a stimulus was experienced) or is a form of sensory surprise (stimulus unpredictability). Here, we use high-channel electrophysiology in primates to show that in many primate prefrontal, temporal, and subcortical brain areas, object novelty detection is intertwined with the computations of recency and sensory surprise. Also, distinct circuits could be engaged by expected versus unexpected sensory surprise. Finally, we studied neuronal novelty-to-familiarity transformations during learning …

Reliability And Stability Challenges In Abcd Task Fmri Data, James T. Kennedy, Michael P. Harms, Ozlem Korucuoglu, Serguei V. Astafiev, Deanna M. Barch, Wesley K. Thompson, James M. Bjork, Andrey P. Anokhin

2020-Current year OA Pubs

Trait stability of measures is an essential requirement for individual differences research. Functional MRI has been increasingly used in studies that rely on the assumption of trait stability, such as attempts to relate task related brain activation to individual differences in behavior and psychopathology. However, recent research using adult samples has questioned the trait stability of task-fMRI measures, as assessed by test-retest correlations. To date, little is known about trait stability of task fMRI in children. Here, we examined within-session reliability and long-term stability of individual differences in task-fMRI measures using fMRI measures of brain activation provided by the adolescent …

Anatomical Variability, Multi-Modal Coordinate Systems, And Precision Targeting In The Marmoset Brain, Takayuki Ose, David C Van Essen, Matthew F Glasser, Et Al.

2020-Current year OA Pubs

Localising accurate brain regions needs careful evaluation in each experimental species due to their individual variability. However, the function and connectivity of brain areas is commonly studied using a single-subject cranial landmark-based stereotactic atlas in animal neuroscience. Here, we address this issue in a small primate, the common marmoset, which is increasingly widely used in systems neuroscience. We developed a non-invasive multi-modal neuroimaging-based targeting pipeline, which accounts for intersubject anatomical variability in cranial and cortical landmarks in marmosets. This methodology allowed creation of multi-modal templates (MarmosetRIKEN20) including head CT and brain MR images, embedded in coordinate systems of anterior and …

Association Of Prenatal Exposure To Early-Life Adversity With Neonatal Brain Volumes At Birth, Regina L Triplett, Rachel E Lean, Amisha Parikh, J Philip Miller, Dimitrios Alexopoulos, Sydney Kaplan, Dominique Meyer, Christopher Adamson, Tara A Smyser, Cynthia E Rogers, Deanna M Barch, Barbara Warner, Joan L Luby, Christopher D Smyser

2020-Current year OA Pubs

Importance: Exposure to early-life adversity alters the structural development of key brain regions underlying neurodevelopmental impairments. The association between prenatal exposure to adversity and brain structure at birth remains poorly understood.

Objective: To examine whether prenatal exposure to maternal social disadvantage and psychosocial stress is associated with neonatal global and regional brain volumes and cortical folding.

Design, Setting, and Participants: This prospective, longitudinal cohort study included 399 mother-infant dyads of sociodemographically diverse mothers recruited in the first or early second trimester of pregnancy and their infants, who underwent brain magnetic resonance imaging in the first weeks of life. Mothers were …

Relationships Between Correlated Spikes, Oxygen And Lfp In The Resting-State Primate, Jingfeng M Li, Benjamin T Acland, Alexander S Brenner, William J Bentley, Lawrence H Snyder

2020-Current year OA Pubs

Resting-state functional MRI (rsfMRI) provides a view of human brain organization based on correlation patterns of blood oxygen level dependent (BOLD) signals recorded across the whole brain. The neural basis of resting-state BOLD fluctuations and their correlation remains poorly understood. We simultaneously recorded oxygen level, spikes, and local field potential (LFP) at multiple sites in awake, resting monkeys. Following a spike, the average local oxygen and LFP voltage responses each resemble a task-driven BOLD response, with LFP preceding oxygen by 0.5 s. Between sites, features of the long-range correlation patterns of oxygen, LFP, and spikes are similar to features seen …

Importance Of The Intersection Of Age And Sex To Understand Variation In Incidence And Survival For Primary Malignant Gliomas, Gi-Ming Wang, Gino Cioffi, Nirav Patil, Kristin A Waite, Robert Lanese, Quinn T Ostrom, Carol Kruchko, Michael E Berens, James R Connor, Justin D Lathia, Joshua B Rubin, Jill S Barnholtz-Sloan

2020-Current year OA Pubs

BACKGROUND: Gliomas are the most common type of malignant brain and other CNS tumors, accounting for 80.8% of malignant primary brain and CNS tumors. They cause significant morbidity and mortality. This study investigates the intersection between age and sex to better understand variation of incidence and survival for glioma in the United States.

METHODS: Incidence data from 2000 to 2017 were obtained from CBTRUS, which obtains data from the NPCR and SEER, and survival data from the CDC's NPCR. Age-adjusted incidence rate ratios (IRR) per 100 000 were generated to compare male-to-female incidence by age group. Cox proportional hazard models …

Rpop: Robust Pet-Only Processing Of Community Acquired Heterogeneous Amyloid-Pet Data, Leonardo Iaccarino, Renaud La Joie, Robert Koeppe, Barry A Siegel, Bruce E Hillner, Constantine Gatsonis, Rachel A Whitmer, Maria C Carrillo, Charles Apgar, Monica R Camacho, Rachel Nosheny, Gil D Rabinovici, Alzheimer's Disease Neuroimaging Initiative

2020-Current year OA Pubs

The reference standard for amyloid-PET quantification requires structural MRI (sMRI) for preprocessing in both multi-site research studies and clinical trials. Here we describe rPOP (robust PET-Only Processing), a MATLAB-based MRI-free pipeline implementing non-linear warping and differential smoothing of amyloid-PET scans performed with any of the FDA-approved radiotracers (

Brain Stimulation Treatments In Epilepsy: Basic Mechanisms And Clinical Advances, Thomas J. Foutz, Michael Wong

2020-Current year OA Pubs

Drug-resistant epilepsy, characterized by ongoing seizures despite appropriate trials of anti-seizure medications, affects approximately one-third of people with epilepsy. Brain stimulation has recently become available as an alternative treatment option to reduce symptomatic seizures in short and long-term follow-up studies. Several questions remain on how to optimally develop patient-specific treatments and manage therapy over the long term. This review aims to discuss the clinical use and mechanisms of action of Responsive Neural Stimulation and Deep Brain Stimulation in the treatment of epilepsy and highlight recent advances that may both improve outcomes and present new challenges. Finally, a rational approach to …

Murine Roseolovirus Does Not Accelerate Amyloid-Β Pathology And Human Roseoloviruses Are Not Over-Represented In Alzheimer Disease Brains, Tarin M Bigley, Monica Xiong, Muhammad Ali, Yun Chen, Chao Wang, Javier Remolina Serrano, Abdallah Eteleeb, Oscar Harari, Liping Yang, Swapneel J Patel, Carlos Cruchaga, Wayne M Yokoyama, David M Holtzman

2020-Current year OA Pubs

BACKGROUND: The role of viral infection in Alzheimer Disease (AD) pathogenesis is an area of great interest in recent years. Several studies have suggested an association between the human roseoloviruses, HHV-6 and HHV-7, and AD. Amyloid-β (Aβ) plaques are a hallmark neuropathological finding of AD and were recently proposed to have an antimicrobial function in response to infection. Identifying a causative and mechanistic role of human roseoloviruses in AD has been confounded by limitations in performing in vivo studies. Recent -omics based approaches have demonstrated conflicting associations between human roseoloviruses and AD. Murine roseolovirus (MRV) is a natural murine pathogen …

Does Data-Independent Acquisition Data Contain Hidden Gems? A Case Study Related To Alzheimer's Disease, Evan E Hubbard, Randall J Bateman, Richard J Perrin, Et Al.

2020-Current year OA Pubs

One of the potential benefits of using data-independent acquisition (DIA) proteomics protocols is that information not originally targeted by the study may be present and discovered by subsequent analysis. Herein, we reanalyzed DIA data originally recorded for global proteomic analysis to look for isomerized peptides, which occur as a result of spontaneous chemical modifications to long-lived proteins. Examination of a large set of human brain samples revealed a striking relationship between Alzheimer's disease (AD) status and isomerization of aspartic acid in a peptide from tau. Relative to controls, a surprising increase in isomer abundance was found in both autosomal dominant …

Detection Of Emerging Neurodegeneration Using Bayesian Linear Mixed-Effect Modeling, Yann Cobigo, Richard J Perrin, Et Al.

2020-Current year OA Pubs

Early detection of neurodegeneration, and prediction of when neurodegenerative diseases will lead to symptoms, are critical for developing and initiating disease modifying treatments for these disorders. While each neurodegenerative disease has a typical pattern of early changes in the brain, these disorders are heterogeneous, and early manifestations can vary greatly across people. Methods for detecting emerging neurodegeneration in any part of the brain are therefore needed. Prior publications have described the use of Bayesian linear mixed-effects (BLME) modeling for characterizing the trajectory of change across the brain in healthy controls and patients with neurodegenerative disease. Here, we use an extension …

Edge-Centric Analysis Of Stroke Patients: An Alternative Approach For Biomarkers Of Lesion Recovery, Sebastian Idesis, Joshua Faskowitz, Richard F Betzel, Maurizio Corbetta, Olaf Sporns, Gustavo Deco

2020-Current year OA Pubs

Most neuroimaging studies of post-stroke recovery rely on analyses derived from standard node-centric functional connectivity to map the distributed effects in stroke patients. Here, given the importance of nonlocal and diffuse damage, we use an edge-centric approach to functional connectivity in order to provide an alternative description of the effects of this disorder. These techniques allow for the rendering of metrics such as normalized entropy, which describes the diversity of edge communities at each node. Moreover, the approach enables the identification of high amplitude co-fluctuations in fMRI time series. We found that normalized entropy is associated with stroke lesion severity …

Neonatal Motor Functional Connectivity And Motor Outcomes At Age Two Years In Very Preterm Children With And Without High-Grade Brain Injury, Peppar E P Cyr, Rachel E Lean, Jeanette K Kenley, Sydney Kaplan, Dominique E Meyer, Jeffery J Neil, Dimitrios Alexopoulos, Rebecca G Brady, Joshua S Shimony, Thomas L Rodebaugh, Cynthia E Rogers, Christopher D Smyser

2020-Current year OA Pubs

Preterm-born children have high rates of motor impairments, but mechanisms for early identification remain limited. We hypothesized that neonatal motor system functional connectivity (FC) would relate to motor outcomes at age two years; currently, this relationship is not yet well-described in very preterm (VPT; born <32 weeks' gestation) infants with and without brain injury. We recruited 107 VPT infants - including 55 with brain injury (grade III-IV intraventricular hemorrhage, cystic periventricular leukomalacia, post-hemorrhagic hydrocephalus) - and collected FC data at/near term-equivalent age (35-45 weeks postmenstrual age). Correlation coefficients were used to calculate the FC between bilateral motor and visual cortices and thalami. At two years corrected-age, motor outcomes were assessed with the Bayley Scales of Infant and Toddler Development, 3rd edition. Multiple imputation was used to estimate missing data, and regression models related FC measures to motor outcomes. Within the brain-injured group only, interhemispheric motor cortex FC was positively related to gross motor outcomes. Thalamocortical and visual FC were not related to motor scores. This suggests neonatal alterations in motor system FC may provide prognostic information about impairments in children with brain injury.

Inferring The Dynamical Effects Of Stroke Lesions Through Whole-Brain Modeling, Sebastian Idesis, Chiara Favaretto, Nicholas V Metcalf, Joseph C Griffis, Gordon L Shulman, Maurizio Corbetta, Gustavo Deco

2020-Current year OA Pubs

Understanding the effect of focal lesions (stroke) on brain structure-function traditionally relies on behavioral analyses and correlation with neuroimaging data. Here we use structural disconnection maps from individual lesions to derive a causal mechanistic generative whole-brain model able to explain both functional connectivity alterations and behavioral deficits induced by stroke. As compared to other models that use only the local lesion information, the similarity to the empirical fMRI connectivity increases when the widespread structural disconnection information is considered. The presented model classifies behavioral impairment severity with higher accuracy than other types of information (e.g.: functional connectivity). We assessed topological measures …