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Ghaderi S, Mohammadi M, Sayehmiri F, Mohammadi S, Tavasol A, Rezaei M, Ghalyanchi-Langeroudi A. Machine Learning Approaches to Identify Affected Brain Regions in Movement Disorders Using MRI Data: A Systematic Review and Diagnostic Meta-analysis. J Magn Reson Imaging 2024; 60:2518-2546. [PMID: 38538062 DOI: 10.1002/jmri.29364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 03/13/2024] [Accepted: 03/14/2024] [Indexed: 11/15/2024] Open
Abstract
BACKGROUND Movement disorders such as Parkinson's disease are associated with structural and functional changes in specific brain regions. Advanced magnetic resonance imaging (MRI) techniques combined with machine learning (ML) are promising tools for identifying imaging biomarkers and patterns associated with these disorders. PURPOSE/HYPOTHESIS We aimed to systematically identify the brain regions most commonly affected in movement disorders using ML approaches applied to structural and functional MRI data. We searched the PubMed and Scopus databases using relevant keywords up to June 2023 for studies that used ML approaches to detect brain regions associated with movement disorders using MRI data. STUDY TYPE A systematic review and diagnostic meta-analysis. POPULATION/SUBJECTS Sixty-seven studies with 6,285 patients were included. FIELD STRENGTH/SEQUENCE Studies utilizing 1.5T or 3T MR scanners and the acquisition of diffusion tensor imaging (DTI), structural MRI (sMRI), functional MRI (fMRI), or a combination of these were included. ASSESSMENT The authors independently assessed the study quality using the CLAIM and QUADAS-2 criteria and extracted data on diagnostic accuracy measures. STATISTICAL TESTS Sensitivity, specificity, accuracy, and area under the curve were pooled using random-effects models. Q statistics and the I2 index were used to evaluate heterogeneity, and Begg's funnel plot was used to identify publication bias. RESULTS sMRI showed the highest sensitivity (93%) and mixed modalities had the highest specificity (90%) for detecting regional abnormalities. sMRI had a 94% sensitivity for identifying subcortical changes. The support vector machine (93%) and logistic regression (91%) models exhibited high diagnostic accuracies. DATA CONCLUSION The combination of advanced MR neuroimaging techniques and ML is a promising approach for identifying brain biomarkers and affected regions in movement disorders with subcortical structures frequently implicated. Structural MRI, in particular, showed strong performance. LEVEL OF EVIDENCE 1 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Sadegh Ghaderi
- Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahdi Mohammadi
- Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Sayehmiri
- Skull Base Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Science, Tehran, Iran
| | - Sana Mohammadi
- Department of Medical Sciences, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Arian Tavasol
- Student Research Committee, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Masoud Rezaei
- Medical Physics and Radiology Department, Faculty of Medicine, Gonabad University of Medical Sciences, Gonabad, Iran
| | - Azadeh Ghalyanchi-Langeroudi
- Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Research Center for Biomedical Technologies and Robotics (RCBTR), Tehran, Iran
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Kojima K, Kline JE, Altaye M, Kline-Fath BM, Parikh NA. Corpus Callosum Abnormalities at Term-Equivalent Age Are Associated with Language Development at 2 Years' Corrected Age in Infants Born Very Preterm. JOURNAL OF PEDIATRICS. CLINICAL PRACTICE 2024; 11:200101. [PMID: 38827483 PMCID: PMC11138257 DOI: 10.1016/j.jpedcp.2024.200101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 12/30/2023] [Accepted: 01/08/2024] [Indexed: 06/04/2024]
Abstract
We studied the effect of microstructural abnormalities in the corpus callosum on language development in 348 infants born very prematurely. We discovered that the fractional anisotropy of the corpus callosum anterior midbody was a significant predictor of standardized language scores at 2 years, independent of clinical and social risk factors.
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Affiliation(s)
- Katsuaki Kojima
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Julia E. Kline
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Mekibib Altaye
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Beth M. Kline-Fath
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Nehal A. Parikh
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
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Kojima K, Kline JE, Altaye M, Kline-Fath BM, Parikh NA. Corpus callosum abnormalities at term-equivalent age are associated with language development at two years corrected age in infants born very preterm. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.20.23295848. [PMID: 37790343 PMCID: PMC10543245 DOI: 10.1101/2023.09.20.23295848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
We studied the impact of microstructural abnormalities in the corpus callosum on language development in 348 infants born very prematurely. We discovered that the fractional anisotropy of the corpus callosum anterior midbody was a significant predictor of standardized language scores at two years, independent of clinical and social risk factors.
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Affiliation(s)
- Katsuaki Kojima
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229-3039
- Department of Pediatrics, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH 45267
| | - Julia E Kline
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229-3039
| | - Mekibib Altaye
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229-3039
- Department of Pediatrics, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH 45267
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229-3039
| | - Beth M Kline-Fath
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229-3039
- Department of Radiology, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH 45267
| | - Nehal A Parikh
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229-3039
- Department of Pediatrics, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH 45267
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Lima Santos JP, Jia-Richards M, Kontos AP, Collins MW, Versace A. Emotional Regulation and Adolescent Concussion: Overview and Role of Neuroimaging. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:6274. [PMID: 37444121 PMCID: PMC10341732 DOI: 10.3390/ijerph20136274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 06/16/2023] [Accepted: 06/29/2023] [Indexed: 07/15/2023]
Abstract
Emotional dysregulation symptoms following a concussion are associated with an increased risk for emotional dysregulation disorders (e.g., depression and anxiety), especially in adolescents. However, predicting the emergence or worsening of emotional dysregulation symptoms after concussion and the extent to which this predates the onset of subsequent psychiatric morbidity after injury remains challenging. Although advanced neuroimaging techniques, such as functional magnetic resonance imaging and diffusion magnetic resonance imaging, have been used to detect and monitor concussion-related brain abnormalities in research settings, their clinical utility remains limited. In this narrative review, we have performed a comprehensive search of the available literature regarding emotional regulation, adolescent concussion, and advanced neuroimaging techniques in electronic databases (PubMed, Scopus, and Google Scholar). We highlight clinical evidence showing the heightened susceptibility of adolescents to experiencing emotional dysregulation symptoms following a concussion. Furthermore, we describe and provide empirical support for widely used magnetic resonance imaging modalities (i.e., functional and diffusion imaging), which are utilized to detect abnormalities in circuits responsible for emotional regulation. Additionally, we assess how these abnormalities relate to the emotional dysregulation symptoms often reported by adolescents post-injury. Yet, it remains to be determined if a progression of concussion-related abnormalities exists, especially in brain regions that undergo significant developmental changes during adolescence. We conclude that neuroimaging techniques hold potential as clinically useful tools for predicting and, ultimately, monitoring the treatment response to emotional dysregulation in adolescents following a concussion.
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Affiliation(s)
- João Paulo Lima Santos
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA; (M.J.-R.); (A.V.)
| | - Meilin Jia-Richards
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA; (M.J.-R.); (A.V.)
| | - Anthony P. Kontos
- Department of Orthopaedic Surgery, UPMC Sports Concussion Program, University of Pittsburgh, Pittsburgh, PA 15213, USA; (A.P.K.); (M.W.C.)
| | - Michael W. Collins
- Department of Orthopaedic Surgery, UPMC Sports Concussion Program, University of Pittsburgh, Pittsburgh, PA 15213, USA; (A.P.K.); (M.W.C.)
| | - Amelia Versace
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA; (M.J.-R.); (A.V.)
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Malbari F, Gill J, Daigle A, Rodriguez LL, Raghubar KP, Davis KC, Scheurer M, Ma MM, Kralik SF, Meoded A, Okcu MF, Chintagumpala MM, Aldave G, Weiner HL, Kahalley LS. Cerebellar Mutism Syndrome in Pediatric Neuro-oncology: A Multidisciplinary Perspective and Call for Research Priorities. Pediatr Neurol 2022; 132:4-10. [PMID: 35598587 DOI: 10.1016/j.pediatrneurol.2022.04.014] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 03/28/2022] [Accepted: 04/28/2022] [Indexed: 10/18/2022]
Abstract
Cerebellar mutism syndrome (CMS), also known as posterior fossa syndrome, occurs in a subset of children after posterior fossa tumor resection, most commonly medulloblastoma. Patients with this syndrome exhibit often transient, although protracted, symptoms of language impairment, emotional lability, cerebellar, and brainstem dysfunction. However, many patients experience persistent neurological deficits and lasting neurocognitive impairment. Historically, research and clinical care were hindered by inconsistent nomenclature, poorly defined diagnostic criteria, and uncertainty surrounding risk factors and etiology. Proposed diagnostic criteria include two major symptoms, language impairment and emotional lability, as proposed by the international Board of the Posterior Fossa Society in their consensus statement as well as other experts in this field. Risk factors most commonly associated with development of CMS include midline tumor location, diagnosis of medulloblastoma and specific tumor subtype, younger age at diagnosis, and preoperative language impairment. A proposed etiology of CMS includes disruption of the cerebellar outflow tracts, the cerebellar nuclei, and their efferent projections through the superior cerebellar peduncle. Treatment for CMS remains supportive. Herein, we present a comprehensive overview of CMS etiology, diagnosis, risk factors, clinical presentation, and clinical management. In addition, we identify essential multidisciplinary research priorities to advance diagnostics, prevention, and intervention efforts for patients with, or at risk for, development of CMS.
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Affiliation(s)
- Fatema Malbari
- Division of Neurology and Developmental Neurosciences, Department of Pediatrics, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas.
| | - Jason Gill
- Division of Neurology and Developmental Neurosciences, Department of Pediatrics, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas
| | - Amy Daigle
- Division of Physical Medicine and Rehabilitation, Department of Pediatrics, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas
| | - Lisa L Rodriguez
- Division of Physical Medicine and Rehabilitation, Department of Pediatrics, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas
| | - Kimberly P Raghubar
- Section of Psychology, Department of Pediatrics, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas
| | - Kimberly C Davis
- Section of Psychology, Department of Pediatrics, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas
| | - Michael Scheurer
- Department of Pediatrics, Texas Children's Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Marina M Ma
- Division of Physical Medicine and Rehabilitation, Department of Pediatrics, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas
| | - Stephen F Kralik
- Division of Radiology, Department of Pediatrics, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas
| | - Avner Meoded
- Division of Radiology, Department of Pediatrics, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas
| | - M Fatih Okcu
- Department of Pediatrics, Texas Children's Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Murali M Chintagumpala
- Department of Pediatrics, Texas Children's Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Guillermo Aldave
- Division of Neurosurgery, Department of Surgery, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas
| | - Howard L Weiner
- Division of Neurosurgery, Department of Surgery, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas
| | - Lisa S Kahalley
- Section of Psychology, Department of Pediatrics, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas
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Caroli A. Diffusion-Weighted Magnetic Resonance Imaging: Clinical Potential and Applications. J Clin Med 2022; 11:3339. [PMID: 35743409 PMCID: PMC9224775 DOI: 10.3390/jcm11123339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 06/09/2022] [Indexed: 02/05/2023] Open
Abstract
Since its discovery in the 1980s [...].
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Affiliation(s)
- Anna Caroli
- Bioengineering Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 24020 Ranica, BG, Italy
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Duplication of the Pituitary Gland: CT, MRI and DTI Findings and Updated Review of the Literature. Brain Sci 2022; 12:brainsci12050574. [PMID: 35624961 PMCID: PMC9139653 DOI: 10.3390/brainsci12050574] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Revised: 04/22/2022] [Accepted: 04/27/2022] [Indexed: 02/05/2023] Open
Abstract
Duplication of the pituitary gland (DPG) is an extremely rare malformation. DPG is associated with a wide variety of midline and central nervous system malformations (DPG-plus syndrome). We present the computed tomography (CT), magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) findings of a rare case of DPG with associated tuberomammillary fusion resulting in a hypothalamic mass-like configuration, oropharyngeal teratoma, cleft palate, hypertelorism, duplicated/broad sella, duplication/low bifurcation of the basilar artery, and craniovertebral midline anomalies. Qualitative interpretation of DTI yielded normal white matter organization of the brain. The duplication of the prechordal plate and the rostral end of the notochordal plate/notochord is thought to be the main factor leading to a duplication of the pituitary primordium and resulting in the formation of two morphologically normal glands. The time of induction of the teratogenic influence, the extent of the prechordal plate and notochordal plate/notochord abnormalities, and the faulty interactions are believed to be the reason for the wide spectrum of associated midline abnormalities.
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Bruno F, Splendiani A, Tommasino E, Conson M, Quarantelli M, Saporito G, Carolei A, Sacco S, Di Cesare E, Barile A, Masciocchi C, Pistoia F. Multimodal MRI Assessment of Thalamic Structural Changes in Earthquake Survivors. Diagnostics (Basel) 2021; 11:diagnostics11010070. [PMID: 33406665 PMCID: PMC7824088 DOI: 10.3390/diagnostics11010070] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 12/20/2020] [Accepted: 12/28/2020] [Indexed: 12/27/2022] Open
Abstract
Moving from the central role of the thalamus in the integration of inner and external stimuli and in the implementation of a stress-related response, the objective of the present study was to investigate the presence of any MRI structural and volumetric changes of the thalamic structures in earthquake witnesses. Forty-one subjects were included, namely 18 university students belonging to the experimental earthquake-exposed group (8 males and 10 females, mean age 24.5 ± 1.8 years) and a control group of 23 students not living in any earthquake-affected areas at the time of the earthquake (14 males and 9 females, mean age 23.7 ± 2.0 years). Instrumental MRI evaluation was performed using a 3-Tesla scanner, by acquiring a three-dimensional fast spoiled gradient-echo (FSPGR) sequence for volumetric analysis and an EPI (echoplanar imaging) sequence to extract fractional anisotropy (FA) and apparent diffusion coefficient (ADC) values. As compared to the control one, the experimental group showed significantly lower gray matter volume in the mediodorsal nucleus of the left thalamus (p < 0.001). The dominant hemisphere thalamus in the experimental group showed higher mean ADC values and lower mean FA values as compared to the control group.
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Affiliation(s)
- Federico Bruno
- Department of Biotechnology and Applied Clinical Sciences, University of L’Aquila, 67100 L’Aquila, Italy; (A.S.); (E.T.); (G.S.); (A.C.); (S.S.); (E.D.C.); (A.B.); (C.M.); (F.P.)
- Correspondence:
| | - Alessandra Splendiani
- Department of Biotechnology and Applied Clinical Sciences, University of L’Aquila, 67100 L’Aquila, Italy; (A.S.); (E.T.); (G.S.); (A.C.); (S.S.); (E.D.C.); (A.B.); (C.M.); (F.P.)
| | - Emanuele Tommasino
- Department of Biotechnology and Applied Clinical Sciences, University of L’Aquila, 67100 L’Aquila, Italy; (A.S.); (E.T.); (G.S.); (A.C.); (S.S.); (E.D.C.); (A.B.); (C.M.); (F.P.)
| | - Massimiliano Conson
- Laboratory of Developmental Neuropsychology, Department of Psychology, University of Campania Luigi Vanvitelli, 81100 Caserta, Italy;
| | - Mario Quarantelli
- Institute of Biostructure and Bioimaging, National Research Council, 80100 Naples, Italy;
| | - Gennaro Saporito
- Department of Biotechnology and Applied Clinical Sciences, University of L’Aquila, 67100 L’Aquila, Italy; (A.S.); (E.T.); (G.S.); (A.C.); (S.S.); (E.D.C.); (A.B.); (C.M.); (F.P.)
| | - Antonio Carolei
- Department of Biotechnology and Applied Clinical Sciences, University of L’Aquila, 67100 L’Aquila, Italy; (A.S.); (E.T.); (G.S.); (A.C.); (S.S.); (E.D.C.); (A.B.); (C.M.); (F.P.)
| | - Simona Sacco
- Department of Biotechnology and Applied Clinical Sciences, University of L’Aquila, 67100 L’Aquila, Italy; (A.S.); (E.T.); (G.S.); (A.C.); (S.S.); (E.D.C.); (A.B.); (C.M.); (F.P.)
| | - Ernesto Di Cesare
- Department of Biotechnology and Applied Clinical Sciences, University of L’Aquila, 67100 L’Aquila, Italy; (A.S.); (E.T.); (G.S.); (A.C.); (S.S.); (E.D.C.); (A.B.); (C.M.); (F.P.)
| | - Antonio Barile
- Department of Biotechnology and Applied Clinical Sciences, University of L’Aquila, 67100 L’Aquila, Italy; (A.S.); (E.T.); (G.S.); (A.C.); (S.S.); (E.D.C.); (A.B.); (C.M.); (F.P.)
| | - Carlo Masciocchi
- Department of Biotechnology and Applied Clinical Sciences, University of L’Aquila, 67100 L’Aquila, Italy; (A.S.); (E.T.); (G.S.); (A.C.); (S.S.); (E.D.C.); (A.B.); (C.M.); (F.P.)
| | - Francesca Pistoia
- Department of Biotechnology and Applied Clinical Sciences, University of L’Aquila, 67100 L’Aquila, Italy; (A.S.); (E.T.); (G.S.); (A.C.); (S.S.); (E.D.C.); (A.B.); (C.M.); (F.P.)
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