Bárbara Avelar‐Pereira

ORCID: 0000-0003-4719-8504
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About
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Research Areas
  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Dementia and Cognitive Impairment Research
  • Alzheimer's disease research and treatments
  • EEG and Brain-Computer Interfaces
  • Neural dynamics and brain function
  • Advanced MRI Techniques and Applications
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Neonatal and fetal brain pathology
  • Neural and Behavioral Psychology Studies
  • Neuroscience and Neuropharmacology Research
  • Cognitive Abilities and Testing
  • Epilepsy research and treatment
  • Olfactory and Sensory Function Studies
  • Fetal and Pediatric Neurological Disorders
  • Memory and Neural Mechanisms
  • Congenital Heart Disease Studies
  • Radiomics and Machine Learning in Medical Imaging
  • Attention Deficit Hyperactivity Disorder
  • Children's Physical and Motor Development

Stanford University
2021-2025

Stockholm University
2017-2025

Karolinska Institutet
2017-2025

Umeå University
2017-2020

Resting-state fMRI (rs-fMRI) can identify large-scale brain networks, including the default mode (DMN), frontoparietal control (FPN) and dorsal attention (DAN) networks. Interactions among these networks are critical for supporting complex cognitive functions, yet way in which they modulated across states is not well understood. Moreover, it remains unclear whether interactions similarly affected aging regardless of state. In this study, we investigated age-related differences functional...

10.3389/fnagi.2017.00152 article EN cc-by Frontiers in Aging Neuroscience 2017-05-21

Healthy aging is accompanied by progressive decline in cognitive performance and concomitant changes brain structure functional architecture. Age-accompanied alterations function have been characterized on a network level as weaker connections within networks along with stronger interactions between networks. This phenomenon has described age-related differences segregation. It suggested that related to associative processes are particularly sensitive deterioration segregation, possibly...

10.1016/j.neuroimage.2021.118449 article EN cc-by NeuroImage 2021-08-03

Resting-state spontaneous fluctuations have revealed individual differences in the functional architecture of brain networks. Previous research indicates that striatal network shows alterations neurological conditions but also normal aging. However, neurobiological mechanisms underlying resting-state networks (RSNs) been less explored. One candidate may account for activity is level local iron accumulation. Excessive striatum has linked to a loss structural integrity and reduced during task...

10.1016/j.neuroimage.2018.08.036 article EN cc-by NeuroImage 2018-08-17

Individuals differ in how they perceive, remember, and think. There is evidence for the existence of distinct subgroups that cognitive performance within older population. However, it less clear individual differences cognition old age are linked to brain-based measures. We used latent-profile analysis on n-back working-memory (WM) identify a large sample adults (n = 181; 64-68 years). Our identified one larger normal subgroup with higher 113; 63%), second smaller 55; 31%) lower performance....

10.1093/cercor/bhy062 article EN cc-by-nc Cerebral Cortex 2018-02-23

Abstract Alzheimer’s disease (AD) is a multifactorial and heterogeneous disorder, which makes early detection challenge. Studies have attempted to combine biomarkers improve AD predict progression. However, most of the existing work reports results in parallel or compares normalized findings but does not analyze data simultaneously. We tested multi-dimensional network framework, applied 490 subjects (cognitively normal [CN] = 147; mild cognitive impairment [MCI] 287; 56) from ADNI, create...

10.1038/s41380-022-01886-z article EN cc-by Molecular Psychiatry 2022-12-20

<h3>Abstract</h3> Working memory, a core function underlying many higher-level cognitive processes, requires cooperation of multiple brain regions. White matter refers to myelinated axons, which are critical interregional communication. Past studies on the association between white-matter integrity and working memory have yielded mixed findings. Using voxelwise tract-based spatial statistics analysis, we investigated this relationship in sample 328 healthy adults from 25 80 years age. Given...

10.1523/eneuro.0413-21.2022 article EN cc-by eNeuro 2022-03-01
Adam Richie-Halford Matthew Cieslak Lei Ai Sendy Caffarra Sydney Covitz and 95 more Alexandre R. Franco Iliana I. Karipidis John Kruper Michael P. Milham Bárbara Avelar‐Pereira Ethan Roy Valerie J. Sydnor Jason D. Yeatman Nicholas J. Abbott John A. E. Anderson B. Gagana MaryLena Bleile Peter S. Bloomfield Vince Bottom Josiane Bourque Rory Boyle Julia K. Brynildsen Navona Calarco Jaime J. Castrellon Natasha Chaku Bosi Chen Sidhant Chopra Emily B. J. Coffey Nigel Colenbier Daniel Cox James Elliott Crippen Jacob J. Crouse Szabolcs Dávid Benjamin De Leener Gwyneth Delap Zhi‐De Deng Jules R. Dugré Anders Eklund Kirsten Ellis Arielle Ered Harry Farmer Joshua Faskowitz Jody E. Finch Guillaume Flandin Matthew W. Flounders Leon Fonville Summer Frandsen Dea Garic Patricia Garrido-Vásquez Gabriel González‐Escamilla Shannon E. Grogans Mareike Grotheer David C. Gruskin Guido I. Guberman Edda B. Haggerty Younghee Hahn Elizabeth H. Hall Jamie L. Hanson Yann Harel Bruno Hebling Vieira Meike D. Hettwer Harriet Hobday Corey Horien Fan Huang Zeeshan M. Huque Anthony R. James Isabella Kahhalé Sarah L. H. Kamhout Arielle S. Keller Harmandeep Singh Khera Gregory Kiar Peter Alexander Kirk Simon H. Kohl Stephanie A. Korenic Cole Korponay Alyssa K. Kozlowski Nevena Kraljević Alberto Lazari Mackenzie J. Leavitt Zhaolong Li Giulia Liberati Elizabeth S. Lorenc Annabelle Julina Lossin Leon D. Lotter David M. Lydon‐Staley Christopher R. Madan Neville Magielse Hilary A. Marusak Julien Mayor Amanda L. McGowan Kahini Mehta Steven L. Meisler Cleanthis Michael Mackenzie E. Mitchell Simon Morand‐Beaulieu Benjamin T. Newman Jared A. Nielsen Shane M. O’Mara Amar Ojha Adam Omary

We created a set of resources to enable research based on openly-available diffusion MRI (dMRI) data from the Healthy Brain Network (HBN) study. First, we curated HBN dMRI (N = 2747) into Imaging Data Structure and preprocessed it according best-practices, including denoising correcting for motion effects, susceptibility-related distortions, eddy currents. Preprocessed, analysis-ready was made openly available. quality plays key role in analysis dMRI. To optimize QC scale this large dataset,...

10.1038/s41597-022-01695-7 article EN cc-by Scientific Data 2022-10-12

Abstract INTRODUCTION Amyloid beta (Aβ) plaques and hyperphosphorylated tau in the entorhinal regions are key Alzheimer's disease (AD) markers, but spatial Aβ pathways influencing pathology remain unclear. METHODS We applied predictive modeling to identify standardized uptake value ratio (SUVR) patterns that predict levels, future hippocampal volume, Preclinical Cognitive Composite (PACC) scores at 5‐year follow‐up. The model was trained on Disease Neuroimaging Initiative (ADNI) ( N = 237),...

10.1002/alz.14499 article EN cc-by-nc-nd Alzheimer s & Dementia 2025-01-08

Functional homotopy reflects the link between spontaneous activity in a voxel and its counterpart opposite hemisphere. Alterations homotopic functional connectivity (FC) are seen normal aging, with highest lowest being present sensory-motor higher-order regions, respectively. Homotopic FC relates to underlying structural connections, but neurobiological underpinnings remain unclear. The genu of corpus callosum joins symmetrical parts prefrontal cortex (PFC) is susceptible age-related...

10.1016/j.neurobiolaging.2020.08.008 article EN cc-by-nc-nd Neurobiology of Aging 2020-08-25

Abstract We created resources to facilitate research on the role of human brain microstructure in development mental health disorders, based openly-available diffusion MRI (dMRI) data from Healthy Brain Network (HBN) study. First, we curated HBN dMRI (N=2747) into Imaging Data Structure and preprocessed it according best-practices, including denoising correcting for motion effects, susceptibility-related distortions, eddy currents. Preprocessed, analysis-ready was made openly available....

10.1101/2022.02.24.481303 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2022-02-25

Amnestic mild cognitive impairment (aMCI) is a risk factor for Alzheimer's disease (AD). Multi-domain training (CT) may slow decline and delay AD onset. However, most work involves short interventions, targeting single domains or lacking active controls. We conducted single-blind randomized controlled trial to investigate the effect of 6-month, multi-domain CT on Fluid Cognition, functional connectivity in memory executive functioning networks (primary outcomes), white matter microstructural...

10.1038/s41398-024-03153-x article EN cc-by-nc-nd Translational Psychiatry 2024-10-23

Brain iron overload and decreased integrity of the dopaminergic system have been independently reported as brain substrates cognitive decline in aging. Dopamine (DA), are co-localized high concentrations striatum prefrontal cortex (PFC), but follow opposing age-related trajectories across lifespan. DA contributes to cellular homeostasis activation D1-like receptors (D1DR) alleviates oxidative stress-induced inflammatory responses, suggesting a mutual interaction between these two fundamental...

10.1016/j.neuroimage.2023.120323 article EN cc-by-nc-nd NeuroImage 2023-08-13

Introduction: An important but under-investigated confound of functional magnetic resonance imaging (fMRI) is body posture. Although it well established that position changes cerebral blood flow, the amount cerebrospinal fluid in brain, intracranial pressure, and even firing rate certain cell types, there currently no study directly examines its effect on fMRI measurements. Moreover, typically done a supine position, which often does not correspond to how these processes are performed...

10.1089/brain.2021.0013 article EN Brain Connectivity 2021-06-11

Background: Age represents the largest risk factor for Alzheimer’s disease (AD) but is typically treated as a covariate. Still, there are similarities between brain regions affected in AD and those showing accelerated decline normal aging, suggesting that distinction two might fall on spectrum. Objective: Our goal was to identify atrophy across investigate whether these overlapped with involved or where related amyloid. Methods: We used longitudinal sample of 137 healthy older adults from...

10.3233/jad-231458 article EN Journal of Alzheimer s Disease 2024-08-17

Abstract Background Olfactory impairment represents an early sensory marker of neurodegeneration, but little is known about how interindividual differences in the trajectories olfactory change relate to dementia conversion. We aimed characterize decline profiles during phases normal cognition assess their predictive value for Method trajectory dementia‐free persons (SNAC‐K; n = 1601; mean age 70.0 years) were identified using growth mixture models (GMM) repeated assessments with Sniffin’...

10.1002/alz.092262 article EN cc-by Alzheimer s & Dementia 2024-12-01

Abstract Brain iron overload and decreased integrity of the dopaminergic system have been independently reported as brain substrates cognitive decline in aging. Dopamine (DA), are co-localized high concentrations striatum prefrontal cortex (PFC), but follow opposing age-related trajectories across lifespan. DA contributes to cellular homeostasis activation D1-like receptors (D1DR) alleviates oxidative stress-induced inflammatory responses, suggesting a mutual interaction between these two...

10.1101/2023.02.09.527840 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-02-10

Abstract Background Increased Amyloid‐beta (Aβ) is associated with the neuropathological features of Alzheimer’s disease (AD), and it has been suggested to amplify tau spreading in brain that leads neurodegeneration. However, little known about how pattern overlaps cortical microstructural neurodegeneration preclinical stages disease. Here, we utilized molecular imaging neurite orientation dispersion density (NODDI) identify pathology progression cross‐sectional data interaction degradation...

10.1002/alz.075834 article EN Alzheimer s & Dementia 2023-12-01

Abstract Background AD pathology affects neuronal microstructural decades before clinical manifestation of the disease. Amyloid plaques and tau tangles are key contributors to alterations in brain properties such as neurite morphology axonal transport packing, among others. It takes many years for these changes build up be reliably detected using volumetric MRI measures neurodegeneration. Here, we examined utility imaging – a biologically inspired model examining cortical microstructure...

10.1002/alz.075825 article EN Alzheimer s & Dementia 2023-12-01
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