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Neuroscience

D-Index
36
Citations
4306
World Ranking
9068
National Ranking
503

Overview

Francesca Miraglia is affiliated with the Catholic University of the Sacred Heart in Italy. Their research is primarily situated within the field of Neuroscience with a significant focus on subfields such as Cognitive Neuroscience, Neurology, Psychiatry and Mental Health, Cellular and Molecular Neuroscience, and Biomedical Engineering.

The scientist's work extensively covers topics related to EEG and Brain-Computer Interfaces, Functional Brain Connectivity Studies, Neural dynamics and brain function, Dementia and Cognitive Impairment Research, Transcranial Magnetic Stimulation Studies, Neural and Behavioral Psychology Studies, and Muscle activation and electromyography studies.

Frequent co-authors collaborating with Francesca Miraglia include Fabrizio Vecchio, Paolo Maria Rossini, Chiara Pappalettera, Maria Cotelli, and Lorenzo Nucci.

Their recent publications span various aspects of clinical neurophysiology and dementia research. Notable papers include:

  • Early diagnosis of Alzheimer's disease: the role of biomarkers including advanced EEG signal analysis. Report from the IFCN-sponsored panel of experts (2020) in Clinical Neurophysiology
  • Human brain connectivity: Clinical applications for clinical neurophysiology (2020) in Clinical Neurophysiology
  • Early dementia diagnosis, MCI-to-dementia risk prediction, and the role of machine learning methods for feature extraction from integrated biomarkers, in particular for EEG signal analysis (2022) in Alzheimer's & Dementia
  • Classification of Alzheimer's Disease with Respect to Physiological Aging with Innovative EEG Biomarkers in a Machine Learning Implementation (2020) in Journal of Alzheimer's Disease
  • Analysis of complexity in the EEG activity of Parkinson's disease patients by means of approximate entropy (2022) in GeroScience

The most frequent publication venues for their work are Clinical Neurophysiology, GeroScience, Zenodo (CERN European Organization for Nuclear Research), Alzheimer's & Dementia, and Journal of Alzheimer's Disease.

Best Publications

  • Intraneural stimulation elicits discrimination of textural features by artificial fingertip in intact and amputee humans

    Calogero M. Oddo;Stanisa Raspopovic;Stanisa Raspopovic;Fiorenzo Artoni;Fiorenzo Artoni;Alberto Mazzoni

  • Early diagnosis of Alzheimer's disease: the role of biomarkers including advanced EEG signal analysis. Report from the IFCN-sponsored panel of experts

    P.M. Rossini;R. Di Iorio;F. Vecchio;M. Anfossi

  • Connectome: Graph theory application in functional brain network architecture.

    Fabrizio Vecchio;Francesca Miraglia;Paolo Maria Rossini

  • Human brain networks in cognitive decline: a graph theoretical analysis of cortical connectivity from EEG data

    Fabrizio Vecchio;Francesca Miraglia;Camillo Marra;Davide Quaranta

  • EEG characteristics in "eyes-open" versus "eyes-closed" conditions: Small-world network architecture in healthy aging and age-related brain degeneration

    Francesca Miraglia;Fabrizio Vecchio;Placido Bramanti;Paolo Maria Rossini

  • Methods for analysis of brain connectivity: An IFCN-sponsored review.

    P.M. Rossini;R. Di Iorio;M. Bentivoglio;G. Bertini

  • Cortical connectivity and memory performance in cognitive decline: A study via graph theory from EEG data.

    Fabrizio Vecchio;Francesca Miraglia;Davide Quaranta;Giuseppe Granata

  • “Small World” architecture in brain connectivity and hippocampal volume in Alzheimer’s disease: a study via graph theory from EEG data

    Fabrizio Vecchio;Francesca Miraglia;Francesca Piludu;Giuseppe Granata

  • Human Brain Networks in Physiological Aging: A Graph Theoretical Analysis of Cortical Connectivity from EEG Data

    Fabrizio Vecchio;Francesca Miraglia;Placido Bramanti;Paolo Maria Rossini

  • Small-World Characteristics of Cortical Connectivity Changes in Acute Stroke

    Pietro Caliandro;Fabrizio Vecchio;Francesca Miraglia;Giuseppe Reale

  • Human brain connectivity: Clinical applications for clinical neurophysiology.

    Mark Hallett;Willem de Haan;Gustavo Deco;Reinhard Dengler

  • Searching for signs of aging and dementia in EEG through network analysis.

    Francesca Miraglia;Fabrizio Vecchio;Paolo Maria Rossini

  • Early dementia diagnosis, MCI‐to‐dementia risk prediction, and the role of machine learning methods for feature extraction from integrated biomarkers, in particular for EEG signal analysis

    Unknown

  • Analysis of complexity in the EEG activity of Parkinson’s disease patients by means of approximate entropy

    Unknown

  • Sustainable method for Alzheimer dementia prediction in mild cognitive impairment: Electroencephalographic connectivity and graph theory combined with apolipoprotein E

    Fabrizio Vecchio;Francesca Miraglia;Francesco Iberite;Giordano Lacidogna

  • Cortical connectivity from EEG data in acute stroke: A study via graph theory as a potential biomarker for functional recovery.

    Fabrizio Vecchio;Carlo Tomino;Francesca Miraglia;Francesco Iodice

  • Cortical connectivity in fronto-temporal focal epilepsy from EEG analysis: A study via graph theory

    Fabrizio Vecchio;Francesca Miraglia;Giuseppe Curcio;Giacomo Della Marca

  • Cortical brain connectivity evaluated by graph theory in dementia: a correlation study between functional and structural data.

    Fabrizio Vecchio;Francesca Miraglia;Giuseppe Curcio;Riccardo Altavilla

  • Classification of Alzheimer's Disease with Respect to Physiological Aging with Innovative EEG Biomarkers in a Machine Learning Implementation.

    Fabrizio Vecchio;Francesca Miraglia;Francesca Alù;Matteo Menna

  • Cortical connectivity modulation during sleep onset: A study via graph theory on EEG data

    Fabrizio Vecchio;Francesca Miraglia;Maurizio Gorgoni;Michele Ferrara

  • Small World Index in Default Mode Network Predicts Progression from Mild Cognitive Impairment to Dementia.

    Francesca Miraglia;Fabrizio Vecchio;Camillo Marra;Davide Quaranta

  • Small-worldness characteristics and its gender relation in specific hemispheric networks.

    F Miraglia;F Vecchio;P Bramanti;Paolo Maria Rossini

Frequent Co-Authors

Paolo Maria Rossini
Paolo Maria Rossini Catholic University of the Sacred Heart
Fabrizio Vecchio
Fabrizio Vecchio Sapienza University of Rome
Maria Cotelli
Maria Cotelli University of Brescia
Silvestro Micera
Silvestro Micera Sant'Anna School of Advanced Studies
Florinda Ferreri
Florinda Ferreri University of Padua
Camillo Marra
Camillo Marra Agostino Gemelli University Polyclinic
Erik Taubøll
Erik Taubøll Oslo University Hospital
Maria Concetta Pellicciari
Maria Concetta Pellicciari Foundation Saint Lucia
Fernando Maestú
Fernando Maestú Complutense University of Madrid
Camillo Porcaro
Camillo Porcaro University of Padua

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