Publications by authors named "Aldo Camargo"

Biomarkers.

Alzheimers Dement

December 2024

Background: Dys-connectivity has been repeatedly shown in Alzheimer's Disease (AD) but the change of connectivity gradient across the brain is under-studied. In this study, we used resting state fMRI (rsfMRI) from the Alzheimer's Disease Neuroimaging Initiative (ADNI) to build a whole brain functional connectivity matrix. We then compared the major connectivity gradients decomposed from the connectivity matrix from normal controls (NC), mild cognitive impairment (MCI), and AD patients.

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Alzheimer's Imaging Consortium.

Alzheimers Dement

December 2024

Background: Dys-connectivity has been repeatedly shown in Alzheimer's Disease (AD) but the change of connectivity gradient across the brain is under-studied. In this study, we used resting state fMRI (rsfMRI) from the Alzheimer's Disease Neuroimaging Initiative (ADNI) to build a whole brain functional connectivity matrix. We then compared the major connectivity gradients decomposed from the connectivity matrix from normal controls (NC), mild cognitive impairment (MCI), and AD patients.

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Entropy indicates irregularity of a dynamic system, with higher entropy indicating higher irregularity and more transit states. In the human brain, regional brain entropy (BEN) has been increasingly assessed using resting state fMRI (rs-fMRI), while changes of regional BEN during task-based fMRI have been scarcely studied. The purpose of this study is to characterize task-induced regional BEN alterations using the large Human Connectome Project (HCP) data.

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Article Synopsis
  • The study aims to compile an inventory of arterial spin labeling (ASL) image processing pipelines, highlighting their features to help novice users choose the best option.
  • Developers self-assessed 21 pipelines through a questionnaire, and two independent testers evaluated 9 publicly available ones using a scoring system, focusing on ease of use and flexibility.
  • Most pipelines can process standard ASL data, but only a few are well-documented and user-friendly, with recommendations for selection based on specific needs and user experience.
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Entropy indicates irregularity of a dynamic system with higher entropy indicating higher irregularity and more transit states. In the human brain, regional entropy has been increasingly assessed using resting state fMRI. Response of regional entropy to task has been scarcely studied.

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Arterial spin labeling (ASL) perfusion MRI has been increasingly used in Alzheimer's Disease (AD) research. However, ASL MRI sequences differ greatly in terms of arterial blood signal preparations and data acquisition strategies, both leading to a large difference of signal-to-noise ratio (SNR). It is of great translational importance to compare the several widely used ASL MRI sequences regarding sensitivity of ASL measured cerebral blood flow (CBF) for detecting the between-group difference across the AD continuum.

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Background: Arterial spin labeling (ASL) perfusion magnetic resonance imaging (MRI) denoising through deep learning (DL) often faces insufficient training data from patients. One solution is to train DL models using healthy subjects' data which are more widely available and transfer them to patients' data.

Purpose: To evaluate the transferability of a DL-based ASL MRI denoising method (DLASL).

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Background: Cross-sectional studies have shown lower cerebral blood flow (CBF) in Alzheimer's disease (AD), but longitudinal CBF changes in AD are still unknown.

Objective: To reveal the longitudinal CBF changes in normal control (NC) and the AD continuum using arterial spin labeling perfusion magnetic resonance imaging (ASL MRI).

Methods: CBF was calculated from two longitudinal ASL scans acquired 2.

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