Lilla Bonanno

ORCID: 0000-0002-0282-405X
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About
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Research Areas
  • Traumatic Brain Injury Research
  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • Parkinson's Disease Mechanisms and Treatments
  • Dementia and Cognitive Impairment Research
  • Advanced MRI Techniques and Applications
  • Neurological disorders and treatments
  • Multiple Sclerosis Research Studies
  • Stroke Rehabilitation and Recovery
  • Psychosomatic Disorders and Their Treatments
  • Cerebrovascular and Carotid Artery Diseases
  • Olfactory and Sensory Function Studies
  • Advanced Neuroimaging Techniques and Applications
  • Neural dynamics and brain function
  • Spatial Neglect and Hemispheric Dysfunction
  • Migraine and Headache Studies
  • Epilepsy research and treatment
  • COVID-19 and Mental Health
  • Autism Spectrum Disorder Research
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Musculoskeletal pain and rehabilitation
  • Pain Management and Treatment
  • Cardiac Arrest and Resuscitation
  • Ultrasound and Hyperthermia Applications
  • Transcranial Magnetic Stimulation Studies

Centro Neurolesi Bonino Pulejo
2016-2025

Istituti di Ricovero e Cura a Carattere Scientifico
2015-2025

Istituto Oncologico Veneto
2022

Weatherford College
2020-2022

Creative Commons
2020-2021

Arcadis (Czechia)
2021

Committee on Publication Ethics
2019-2020

Delaware Division of Libraries
2020

Ministero della Salute
2020

In spite of the worldwide financial and research efforts made, pathophysiological mechanism at basis Alzheimer's disease (AD) is still poorly understood. Previous studies using electroencephalography (EEG) have focused on slowing oscillatory brain rhythms, coupled with complexity reduction corresponding time-series their enhanced compressibility. These analyses been typically carried out single channels. However, limited investigations possibility yielded by computational intelligence...

10.1109/rtsi.2016.7740576 article EN 2016-09-01

A complex network approach is combined with time dynamics in order to conduct a space–time analysis applicable longitudinal studies aimed characterize the progression of Alzheimer's disease (AD) individual patients. The reveals how patient-specific patterns are associated progression, also capturing widespread effect local disruptions. This study carried out on resting electroence phalography (EEGs) seven AD test repeated after three months' period. proposed methodology allows extract some...

10.1142/s0129065715500057 article EN International Journal of Neural Systems 2014-12-18

Alzheimer's disease (AD) is a neurodegenerative disorder that causes loss of connections between neurons. The goal this paper to construct complex network model the brain-electrical activity, using high-density EEG (HD-EEG) recordings, and compare organization in AD, mild cognitive impaired (MCI), healthy control (CNT) subjects. HD-EEG 16 MCI, 12 CNT was recorded during an eye-closed resting state. permutation disalignment index (PDI) used describe dissimilarity signals connection matrices...

10.1109/tii.2018.2868431 article EN IEEE Transactions on Industrial Informatics 2018-09-03

In this work, we introduce Permutation Disalignment Index (PDI) as a novel nonlinear, amplitude independent, robust to noise metric of coupling strength between time series, with the aim applying it electroencephalographic (EEG) signals recorded longitudinally from Alzheimer's Disease (AD) and Mild Cognitive Impaired (MCI) patients. The goal is indirectly estimate connectivity cortical areas, through quantification corresponding EEG signals, in order find possible matching disease's...

10.1142/s0129065717500204 article EN International Journal of Neural Systems 2017-02-10

Several fMRI studies in migraine assessed resting state functional connectivity different networks suggesting that this neurological condition was associated with brain alteration. The aim of present study to explore the association between cognitive functions and cerebral connectivity, default mode network, patients without aura, during interictal episodic attack.Twenty-eight (14 14 aura) matched normal controls, were consecutively recruited. A battery standardized neuropsychological test...

10.1186/s10194-017-0782-6 article EN cc-by The Journal of Headache and Pain 2017-07-20

Introduction: late-life depression is a well-known risk factor for future dementia. Increasing evidences also show link between cerebral hypoperfusion and neurodegeneration, although data on Transcranial Doppler ultrasonography (TCD)-derived measures in patients with "Vascular Depression" (VD) are lacking. The aim of this study was to assess correlate TCD parameters cognitive function severity subcortical ischemic vascular disease sample VD patients. Methods: 76 (mean age 72.5 ± 5.3 years;...

10.3389/fpsyt.2018.00316 article EN cc-by Frontiers in Psychiatry 2018-07-16

The differential diagnosis between radiation necrosis, tumor recurrence and progression is crucial for the evaluation of treatment response planning. appearance treatment-induced tissue necrosis on conventional Magnetic Resonance Imaging (MRI) similar to brain it could be difficult differentiate two entities follow-up MRI examinations. Dynamic Susceptibility Contrast-enhanced (DSC) Contrast-Enhanced (DCE) are perfusion techniques that use an exogenous, intravascular, non-diffusible...

10.1186/s13014-019-1271-7 article EN cc-by Radiation Oncology 2019-04-15

Purpose: To determine the best predictor of lesion volume induced by magnetic resonance (MR)-guided focused ultrasound (MRgFUS) thalamotomy in patients with tremor-dominant symptoms Parkinson’s disease (PD) and essential tremor (ET) patients. Methods: Thirty-six neurological medication-refractory (n°19 PD; n°17 ET) were treated using a commercial MRgFUS brain system (Exablate Neuro 4000, Insightec) integrated 1.5 T MRI unit (Sigma HDxt; GE Medical System). Linear regression analysis was used...

10.3390/bioengineering11040373 article EN cc-by Bioengineering 2024-04-12

BACKGROUND: Acquired brain injuries (ABI) represent neurological disorders that can arise after traumatic and non-traumatic events. In addition to the physical, emotional cognitive challenges patients face, these bring changes in life of patient his or her family. OBJECTIVE: This study aims understand how occurrence an ABI condition disrupt reshape family functioning by examining certain dimensions such as role family, gender age, which may have a major influence on dynamics. METHODS: We...

10.3233/nre-240056 article EN Neurorehabilitation 2024-07-19

Background and purpose Late‐onset Pompe disease ( LOPD ) is a rare, multisystem disorder that well established to mainly impair skeletal muscle function. Systematic studies exploring brain functions in are lacking. The aim of this study was detect morphological functional alterations as neuropsychological impairment . Methods We studied 21 patients (10 male, mean age 49 ± 18.4 years) with defined diagnosis , divided into two groups: one pre‐symptomatic hyper CK emia no weakness the second...

10.1111/ene.13835 article EN European Journal of Neurology 2018-10-12

Abstract Background Migraine is a common neurological disorder characterized by complex physiopathology. We assessed brain morphologic differences in migraine and the possible pathogenetic mechanism underlying this disease. Methods analyzed images of patients, 14 with aura (MwA) [the mean (SD) age was 42.36 (2.95) years (range, 37–47)] without (MwoA) 43.5 (3.25) 39–50)] during episodic attack compared health subjects balanced (HS) 42.5 (5.17) 34–51)]. All underwent Magnetic Resonance Imaging...

10.1186/s10194-020-01109-2 article EN cc-by The Journal of Headache and Pain 2020-04-25
Silvia De Francesco Claudio Crema Damiano Archetti Cristina Muscio Robert I. Reid and 93 more Anna Nigri Maria Grazia Bruzzone Fabrizio Tagliavini Raffaele Lodi Egidio D’Angelo Bradley F. Boeve Kejal Kantarci Michael Firbank John‐Paul Taylor Pietro Tiraboschi Alberto Redolfi Maria Grazia Bruzzone Pietro Tiraboschi Claudia A. M. Gandini Wheeler‐Kingshott Michela Tosetti Gianluigi Forloni Alberto Redolfi Egidio D’Angelo Fabrizio Tagliavini Raffaele Lodi R. Agati Marco Aiello Elisa Alberici Carmelo Amato Domenico Aquino Filippo Arrigoni Francesca Baglio Laura Biagi Lilla Bonanno Paolo Bosco Francesca Bottino Marco Bozzali Nicola Canessa Chiara Carducci Irene Carne Lorenzo Carnevale Antonella Castellano Carlo Cavaliere Mattia Colnaghi Valeria Elisa Contarino Giorgio Conte Mauro Costagli Greta Demichelis Silvia De Francesco Andrea Falini Stefania Ferraro Giulio Ferrazzi Lorenzo Figà Talamanca Cira Fundarò Simona Gaudino Francesco Ghielmetti Ruben Gianeri Giovanni Giulietti Marco Grimaldi Antonella Iadanza Matilde Inglese Maria Marcella Laganá Marta Lancione F. Levrero Daniela Longo Giulia Lucignani Martina Lucignani Maria Luisa Malosio Vittorio Manzo Silvia Marino Jean Paul Medina Edoardo Micotti Claudia Morelli Cristina Muscio Antonio Napolitano Anna Nigri Francesco Padelli Fulvia Palesi Patrizià Pantano Chiara Parrillo Luigi Pavone Denis Peruzzo Nikolaos Petsas Anna Pichiecchio Alice Pirastru Letterio S. Politi Luca Roccatagliata Elisa Rognone Andrea Rossi Maria Camilla Rossi‐Espagnet Claudia Ruvolo Marco Salvatore Giovanni Savini Emanuela Tagliente Claudia Testa Caterina Tonon Domenico Tortora Fabio Triulzi

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,...

10.1038/s41598-023-43706-6 article EN cc-by Scientific Reports 2023-10-13

Aim Cognitive impairment is present in several neurodegenerative disorders. The clock‐drawing test (CDT) represents a useful screening instrument for assessing the evolution of cognitive decline. aim this study was to investigate sensitivity CDT monitoring and differentiating decline Alzheimer's dementia (AD), vascular (VaD), Parkinson's disease (PD). Methods This involved 139 patients, including 39 patients with PD mild impairment, 16 demented 21 VaD 17 VaD, 33 due AD, 13 probable AD. All...

10.1111/psyg.12294 article EN Psychogeriatrics 2018-02-07

Abstract The sleep allows many psychological processes, such as immune system activity, body metabolism and hormonal balance, emotional mental health, learning, mnemonic processes. lack of could undermine physical purposes, causing an alteration in cognitive functions or metabolic disorders. In our study, we have examined the irregular effects with overweight obesity risk children adults. sample was composed 199 subjects, which 71 adults, (29 males 42 females), 128 (73 55 females). We...

10.1097/md.0000000000017642 article EN cc-by-nc Medicine 2019-11-01

Parkinson’s Disease (PD) is a progressive neurodegenerative disorder affecting motor and cognitive functions, reducing the quality of life (QoL) for both patients caregivers. This study explored correlations between clinical psychological factors in early-stage PD their caregivers, focusing on disease burden caregiver stress. Nineteen caregivers were assessed. For patients, we evaluated severity (Hoehn Yahr), functions (Montreal Cognitive Assessment, MoCA), anxiety levels (Hamilton Rating...

10.1177/13591053241312505 article EN Journal of Health Psychology 2025-01-23

Bariatric surgery is an effective treatment for obesity, promoting significant and lasting weight loss while improving health quality of life. The study examines the clinical organizational pathway patients undergoing it, assessing impact services on their well-being through status analysis. It also seeks to understand whether patient satisfaction during care process correlates with improved A total 50 severe obesity were included between July 2020 October 2022. evaluation was conducted...

10.1080/13548506.2025.2495892 article EN Psychology Health & Medicine 2025-05-09

Introduction In 2024, 11 European scientific societies/organizations and one patient advocacy association have defined a patient-centered biomarker-based diagnostic workflow for memory clinics evaluating neurocognitive disorders. Methods We tested the performance of an artificial intelligence (AI) tool applied to neuropsychological magnetic resonance imaging (MRI) assessment staging causal hypothesis, which are two recommended steps guiding next recommending optimal biomarkers be used...

10.3389/fneur.2025.1568086 article EN cc-by Frontiers in Neurology 2025-05-19
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