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Neuroscience

D-Index
64
Citations
11065
World Ranking
3328
National Ranking
138

Overview

Fabrizio Vecchio is affiliated with Sapienza University of Rome in Italy, contributing extensively to the fields of neuroscience and medicine. Their research spans across multiple subfields including cognitive neuroscience, neurology, psychiatry and mental health, radiology, nuclear medicine and imaging, and physiology. The scientist's work primarily focuses on understanding neural dynamics, brain function, and neurological disorders through various methodological approaches.

Their research topics prominently include:

  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • Neural dynamics and brain function
  • Dementia and Cognitive Impairment Research
  • Transcranial Magnetic Stimulation Studies
  • Neural and Behavioral Psychology Studies
  • Alzheimer's disease research and treatments

Fabrizio Vecchio has frequently published in several scientific journals. Key venues featuring their work are:

  • Clinical Neurophysiology (21 publications)
  • GeroScience (12 publications)
  • Scientific Reports (3 publications)
  • Pflügers Archiv - European Journal of Physiology (3 publications)
  • Alzheimer's & Dementia (2 publications)

Some of the recent papers authored or co-authored by Vecchio 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, Clinical Neurophysiology
  • "Human brain connectivity: Clinical applications for clinical neurophysiology," 2020, 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, Alzheimer's & Dementia
  • "Classification of Alzheimer's Disease with Respect to Physiological Aging with Innovative EEG Biomarkers in a Machine Learning Implementation," 2020, Journal of Alzheimer's Disease
  • "Analysis of complexity in the EEG activity of Parkinson's disease patients by means of approximate entropy," 2022, GeroScience

Throughout their career, Vecchio has collaborated frequently with a core group of researchers, including:

  • Francesca Miraglia
  • Paolo Maria Rossini
  • Chiara Pappalettera
  • Maria Cotelli
  • Alessia Cacciotti

The scholar's work integrates advanced EEG biomarker development, machine learning techniques, and clinical neurophysiology to investigate neurological diseases such as Alzheimer's and Parkinson's. This multidisciplinary approach combines functional brain connectivity studies with novel computational methodologies aimed at early diagnosis and risk prediction.

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

  • Conversion from mild cognitive impairment to Alzheimer's disease is predicted by sources and coherence of brain electroencephalography rhythms.

    P.M. Rossini;C. Del Percio;P. Pasqualetti;E. Cassetta

  • An electroencephalographic fingerprint of human sleep.

    Luigi De Gennaro;Michele Ferrara;Michele Ferrara;Fabrizio Vecchio;Giuseppe Curcio

  • "Neural efficiency" of athletes' brain for upright standing: a high-resolution EEG study.

    Claudio Del Percio;Claudio Babiloni;Nicola Marzano;Marco Iacoboni

  • Fronto-parietal coupling of brain rhythms in mild cognitive impairment: a multicentric EEG study.

    Claudio Babiloni;Raffaele Ferri;Giuliano Binetti;Andrea Cassarino

  • 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

  • Hippocampal volume and cortical sources of EEG alpha rhythms in mild cognitive impairment and Alzheimer disease

    Claudio Babiloni;Giovanni B. Frisoni;Michela Pievani;Fabrizio Vecchio

  • Pre- and Poststimulus Alpha Rhythms Are Related to Conscious Visual Perception: A High-Resolution EEG Study

    Claudio Babiloni;Fabrizio Vecchio;Alessandro Bultrini;Gian Luca Romani

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

    Fabrizio Vecchio;Francesca Miraglia;Paolo Maria Rossini

  • Resting state cortical EEG rhythms in Alzheimer's disease: toward EEG markers for clinical applications: a review

    Fabrizio Vecchio;Claudio Babiloni;Roberta Lizio;Fabrizio De Vico Fallani

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

    Fabrizio Vecchio;Francesca Miraglia;Camillo Marra;Davide Quaranta

  • Resting state cortical electroencephalographic rhythms are related to gray matter volume in subjects with mild cognitive impairment and Alzheimer's disease

    Claudio Babiloni;Filippo Carducci;Roberta Lizio;Fabrizio Vecchio

  • Disease Tracking Markers for Alzheimer's Disease at the Prodromal (MCI) Stage

    Valeria Drago;Claudio Babiloni;David Bartrés-Faz;Anna Caroli

  • 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

  • Alpha, beta and gamma electrocorticographic rhythms in somatosensory, motor, premotor and prefrontal cortical areas differ in movement execution and observation in humans.

    Claudio Babiloni;Claudio Del Percio;Fabrizio Vecchio;Fabio Sebastiano

  • Brains "in concert": frontal oscillatory alpha rhythms and empathy in professional musicians.

    Claudio Babiloni;Paola Buffo;Fabrizio Vecchio;Nicola Marzano

  • Directionality of EEG synchronization in Alzheimer's disease subjects.

    Claudio Babiloni;Raffaele Ferri;Giuliano Binetti;Fabrizio Vecchio

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

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

  • Cortical sources of resting EEG rhythms in mild cognitive impairment and subjective memory complaint.

    Claudio Babiloni;Pieter Jelle Visser;Giovanni Frisoni;Peter Paul De Deyn

  • Development and assessment of methods for detecting dementia using the human electroencephalogram

    G. Henderson;E. Ifeachor;N. Hudson;C. Goh

  • Predictive Role of Thymidylate Synthase, Dihydropyrimidine Dehydrogenase and Thymidine Phosphorylase Expression in Colorectal Cancer Patients Receiving Adjuvant 5-Fluorouracil

    M. Ciaparrone;M. Quirino;G. Schinzari;G. Zannoni

Frequent Co-Authors

Paolo Maria Rossini
Paolo Maria Rossini Catholic University of the Sacred Heart
Claudio Babiloni
Claudio Babiloni Sapienza University of Rome
Francesca Miraglia
Francesca Miraglia Catholic University of the Sacred Heart
Giovanni B. Frisoni
Giovanni B. Frisoni University of Geneva
Roberta Lizio
Roberta Lizio Sapienza University of Rome
Fabrizio Eusebi
Fabrizio Eusebi Sapienza University of Rome
Claudio Del Percio
Claudio Del Percio Sapienza University of Rome
Carlo Miniussi
Carlo Miniussi University of Trento
Giuseppe Curcio
Giuseppe Curcio University of L'Aquila
Andrea Soricelli
Andrea Soricelli Parthenope University of Naples

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