Maria Marcella Laganá
A5089490687- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Functional Brain Connectivity Studies
- Multiple Sclerosis Research Studies
- Cerebral Venous Sinus Thrombosis
- Neurological disorders and treatments
- Acute Ischemic Stroke Management
- Cerebrospinal fluid and hydrocephalus
- Cerebrovascular and Carotid Artery Diseases
- Parkinson's Disease Mechanisms and Treatments
- Fetal and Pediatric Neurological Disorders
- Medical Imaging Techniques and Applications
- EEG and Brain-Computer Interfaces
- MRI in cancer diagnosis
- Ultrasound Imaging and Elastography
- Neurological Disease Mechanisms and Treatments
- Ultrasound and Hyperthermia Applications
- Dementia and Cognitive Impairment Research
- Neural dynamics and brain function
- Liver Disease Diagnosis and Treatment
- Traumatic Brain Injury and Neurovascular Disturbances
- Medical Imaging and Analysis
- Cerebral Palsy and Movement Disorders
- Cardiovascular Health and Disease Prevention
- Venous Thromboembolism Diagnosis and Management
Don Carlo Gnocchi Foundation
2015-2024
UC Davis Health System
2024
Azienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia
2020-2024
Michigan Medicine
2022
Moffitt Cancer Center
2022
University of Minnesota Rochester
2022
MSD K.K. (Japan)
2022
Novartis (Switzerland)
2022
American Society for Radiation Oncology
2022
Jazz Pharmaceuticals (United States)
2022
Artifact removal in resting state fMRI (rfMRI) data remains a serious challenge, with even subtle head motion undermining reliability and reproducibility. Here we compared some of the most popular single-echo de-noising methods—regression Motion parameters, White matter Cerebrospinal fluid signals (MWC method), FMRIB's ICA-based X-noiseifier (FIX) Automatic Removal Of Artifacts (ICA-AROMA)—with multi-echo approach (ME-ICA) that exploits linear dependency BOLD on echo time. Data were acquired...
Abstract In a companion paper by Cohen-Adad et al . we introduce the spine generic quantitative MRI protocol that provides valuable metrics for assessing spinal cord macrostructural and microstructural integrity. This was used to acquire single subject dataset across 19 centers multi-subject 42 (for total of 260 participants), spanning three main manufacturers: GE, Philips Siemens. Both datasets are publicly available via git-annex. Data were analysed using Spinal Cord Toolbox produce...
Artifact removal from resting state fMRI data is an essential step for a better identification of the networks and evaluation their functional connectivity (FC), especially in pathological conditions. There growing interest development cleaning procedures, those not requiring external recordings (data-driven), which are able to remove multiple sources artifacts. It important that only inter-subject variability due artifacts removed, preserving between-subject interest-crucial clinical...
Abstract Background Cervical blood and cerebrospinal fluid (CSF) flow rates can be quantified with Phase-contrast (PC) MRI, which is routinely used for clinical studies. Previous MRI studies showed that venous CSF alterations are linked to various pathological conditions. Since it well known that, besides the heart beating, thoracic pump influences dynamics, we studied effect of different respiration modes on using a real-time (RT)-PC prototype. Methods Thirty healthy volunteers were...
Little is still known about the mid/long-term effects of coronavirus disease 2019 (COVID-19) on brain, especially in subjects who have never been hospitalized due to infection. In this neuroimaging exploratory study, we analyzed medium-term effect COVID-19 brain people recovered from COVID-19, experienced anosmia during acute phase disease, and SARS-Co-V-2 infection.Forty-three individuals had (COV+, n = 22) or not (COV-, 21) infected with were included study; two groups age- sex-matched...
Tractography based on Diffusion Tensor Imaging (DTI) represents a valuable tool for investigating brain white matter (WM) microstructure, allowing the computation of damage-related diffusion parameters such as Fractional Anisotropy (FA) in specific WM tracts. This technique appears relevant study pathologies which disconnection plays major role, as, instance, Alzheimer's Disease (AD). Previous DTI studies have reported inconsistent results defining abnormalities AD and its prodromal stage...
Alzheimer's disease (AD) is a multifactorial with still barely understood etiology. Herpes simplex virus 1 (HSV-1) has long been suspected to play role in the pathogenesis of AD because its neurotropism, high rate infection general population, and life-long persistence neuronal cells, particularly same brain regions that are usually altered AD. The goal this study was evaluate HSV-1-specific humoral immune responses patients diagnosis either or amnestic mild cognitive impairment (aMCI),...
The relationship between white matter injury and cortical atrophy development in relapsing-remitting multiple sclerosis (RRMS) remains unclear.To investigate the associations corticospinal tract integrity morphology measures of primary motor cortex RRMS patients healthy controls.51 30 controls underwent MRI examination for reconstruction assessment integrity. Partial correlation linear regression analyses were used to focal normal appearing (NAWM) with thickness surface area cortex....
Neuroimaging studies often lack reproducibility, one of the cardinal features scientific method. Multisite collaboration initiatives increase sample size and limit methodological flexibility, therefore providing foundation for increased statistical power generalizable results. However, multisite collaborative are inherently limited by hardware, software, pulse sequence design heterogeneities both clinical preclinical MRI scanners benchmark acquisition protocols, data analysis, sharing. We...
Abstract Clinical research emphasizes the implementation of rigorous and reproducible study designs that rely on between-group matching or controlling for sources biological variation such as subject’s sex age. However, corrections body size (i.e. height weight) are mostly lacking in clinical neuroimaging designs. This investigates importance parameters their relationship with spinal cord (SC) brain magnetic resonance imaging (MRI) metrics. Data were derived from a cosmopolitan population...
Background: Parkinson’s disease (PD) is a progressive neurodegenerative disorder that mainly characterized by movement dysfunction. Neurovascular unit (NVU) disruption has been proposed to be involved in the disease, but its role PD mechanisms still unclear. The aim of this study was investigate cerebral blood flow (CBF) and cerebrovascular reactivity (CVR) within regions belonging motor network, patients with mild moderate stages PD. Methods: Twenty-eight (66.6 ± 8.6 years, 22 males, median...
Biomarker-based differential diagnosis of the most common forms dementia is becoming increasingly important. Machine learning (ML) may be able to address this challenge. The aim study was develop and interpret a ML algorithm capable differentiating Alzheimer's dementia, frontotemporal with Lewy bodies cognitively normal control subjects based on sociodemographic, clinical, magnetic resonance imaging (MRI) variables. 506 from 5 databases were included. MRI images processed FreeSurfer, LPA,...
Real-time Ultrasound (US) image fusion with a pre-acquired second imaging dataset - Computed Tomography (CT), Magnetic Resonance Imaging (MRI) and/or CT/PET has become widely used in recent years for both diagnosis and image-guided interventional procedures. Liver kidneys are the main focused anatomical districts, related to abdominal application. There still nowadays some drawbacks, regarding adoption of technique everyday practice especially its ease use time needed order obtain precise...
ABSTRACT BACKGROUND AND PURPOSE With respect to healthy controls (HCs), increased iron concentrations in the deep gray matter (GM) and decreased white (WM) integrity are common findings multiple sclerosis (MS) patients. The association between these features of disease remains poorly understood. We investigated relationship deposition GM WM injury associated fiber tracts MS METHODS Sixty‐six patients (mean age 50.0 years, median Expanded Disability Status Scale 5.25, mean duration 19.1...
Beat-by-beat variability (BBV) rhythms are observed in both cardiovascular (CV) and intracranial (IC) compartments, yet interactions between the two not fully understood. Real-Time Phase-Contrast (RT-PC) MRI sequence was acquired for 30 healthy volunteers at 1st cervical level on a 3T scanner. The arterial (AF), venous (VF), cerebrospinal fluid (CSF) flow (CSFF) were computed as velocity integrals over internal carotid artery, jugular vein, CSF. AF, VF, CSFF signals segmented inspiration...
Magnetic Resonance (MR) diffusion tensor imaging (DTI) is able to quantify in vivo tissue microstructure properties and detect disease related pathology of the central nervous system. Nevertheless, DTI limited by low spatial resolution associated with its signal-to-noise-ratio (SNR). The aim select a sequence for brain clinical studies, optimizing SNR resolution. We applied 6 methods computation 26 sequences different parameters using 4 healthy volunteers (HV). choosed two their high SNR,...
Fronto-parietal regions are involved in cognitive processes that commonly affected Parkinson's disease (PD). The aims of this study were to investigate cerebral blood flow (CBF) and gray matter (GM) volume within the belonging fronto-parietal circuit people with PD (pwPD) without dementia, assess their association performance. Twenty-seven pwPD dementia (mean [SD] age = 67.4 [8.1] years, 20 males, mean Montreal Cognitive Assessment, MoCA score 24.2 [2.9], median [IQR] Hoehn Yahr scale 1.5...