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Nell'albergo di Adamo: gli animali, la questione animale e la filosofia
In: Eterotopie 83
SVM recursive feature elimination analyses of structural brain MRI predicts near-term relapses in patients with clinically isolated syndromes suggestive of multiple sclerosis
Esclerosi múltiple; Classificació d'aprenentatge automàtic; Selecció de funcions ; Esclerosis múltiple; Clasificación de aprendizaje automático; Selección de características ; Multiple sclerosis; Machine learning classification; Feature selection ; Machine learning classification is an attractive approach to automatically differentiate patients from healthy subjects, and to predict future disease outcomes. A clinically isolated syndrome (CIS) is often the first presentation of multiple sclerosis (MS), but it is difficult at onset to predict who will have a second relapse and hence convert to clinically definite MS. In this study, we thus aimed to distinguish CIS converters from non-converters at onset of a CIS, using recursive feature elimination and weight averaging with support vector machines. We also sought to assess the influence of cohort size and cross-validation methods on the accuracy estimate of the classification. We retrospectively collected 400 patients with CIS from six European MAGNIMS MS centres. Patients underwent brain MRI at onset of a CIS according to local standard-of-care protocols. The diagnosis of clinically definite MS at one-year follow-up was the standard against which the accuracy of the model was tested. For each patient, we derived MRI-based features, such as grey matter probability, white matter lesion load, cortical thickness, and volume of specific cortical and white matter regions. Features with little contribution to the classification model were removed iteratively through an interleaved sample bootstrapping and feature averaging approach. Classification of CIS outcome at one-year follow-up was performed with 2-fold, 5-fold, 10-fold and leave-one-out cross-validation for each centre cohort independently and in all patients together. The estimated classification accuracy across centres ranged from 64.9% to 88.1% using 2-fold cross-validation and from 73% to 92.9% using leave-one-out cross-validation. The classification accuracy estimate was higher in single-centre, smaller data sets than in combinations of data sets, being the lowest when all patients were merged together. Regional MRI features such as WM lesions, grey matter probability in the thalamus and the precuneus or cortical thickness in the cuneus and inferior temporal gyrus predicted the occurrence of a second relapse in patients at onset of a CIS using support vector machines. The increased accuracy estimate of the classification achieved with smaller and single-centre samples may indicate a model bias (overfitting) when data points were limited, but also more homogeneous. We provide an overview of classifier performance from a range of cross-validation schemes to give insight into the variability across schemes. The proposed recursive feature elimination approach with weight averaging can be used both in single- and multi-centre data sets in order to bridge the gap between group-level comparisons and making predictions for individual patients. ; This project received funding from the European Union's Horizon2020 Research and Innovation Program EuroPOND under grant agreement number 666992, and it was supported by the National Institute for Health Research University College London Hospitals Biomedical Research Centre. We thank all participating partners of the MAGNIMS study group for sharing their data with us.
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Neurogenetic traits outline vulnerability to cortical disruption in Parkinson's disease
The genetic traits that underlie vulnerability to neuronal damage across specific brain circuits in Parkinson's disease (PD) remain to be elucidated. In this study, we characterized the brain topological intersection between propagating connectivity networks in controls and PD participants and gene expression patterns across the human cortex - such as the SNCA gene. We observed that brain connectivity originated from PD-related pathology epicenters in the brainstem recapitulated the anatomical distribution of alpha-synuclein histopathology in postmortem data. We also discovered that the gene set most related to cortical propagation patterns of PD-related pathology was primarily involved in microtubule cellular components. Thus, this study sheds light on new avenues for enhancing detection of PD neuronal vulnerability via an evaluation of in vivo connectivity trajectories across the human brain and successful integration of neuroimaging-genetic strategies. ; Acknowledgment: The authors thank the patients and their families for the time and effort they dedicated to the research. Funding This research was supported by grants from the National Institutes of Health (NIH; R01AG061811, and R01AG061445 to J.S.), the Ministry of Education, Science, and Technological Development of the Republic of Serbia (grant number 175090), the Italian Ministry of Health (grant number RF-2018-12366746), the Carlos III Institute of Health (PI11/02109) Spain, the Basque Government through the BERC 2018-2021 program and the Spanish State Research Agency through BCBL Severo Ochoa excellence accreditation SEV-2015-0490.
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Being the Family Caregiver of a Patient With Dementia During the Coronavirus Disease 2019 Lockdown
Background: Family caregivers of patients with dementia are at high risk of stress and burden, and quarantine due to the coronavirus disease 2019 (COVID-19) pandemic may have increased the risk of psychological disturbances in this population. The current study was carried out during the national lockdown declared in March 2020 by the Italian government as a containment measure of the first wave of the coronavirus pandemic and is the first nationwide survey on the impact of COVID-19 lockdown on the mental health of dementia informal caregivers. Methods: Eighty-seven dementia centers evenly distributed on the Italian territory enrolled 4,710 caregiver–patient pairs. Caregivers underwent a telephone interview assessing classical symptoms of caregiver stress and concern for the consequences of COVID-19 infection on patient's health. We calculated prevalence of symptoms and regressed them on various potential stress risk factors: caregivers' sociodemographic characteristics and lifestyle, patients' clinical features, and lockdown-related elements, like discontinuity in medical care. Results: Approximately 90% of caregivers reported at least one symptom of stress, and nearly 30% reported four or more symptoms. The most prevalent symptoms were concern for consequences of COVID-19 on patient's health (75%) and anxiety (46%). The main risk factors for stress were identified as a conflicting relationship with the patient and discontinuity in assistance, but caregiver's female sex, younger age, lower education, and cohabitation with the patient also had an impact. Availability of help from institutions or private individuals showed a protective effect against sense of abandonment but a detrimental effect on concern about the risk for the patient to contract COVID-19. The only protective factor was mild dementia severity, which was associated with a lower risk of feeling isolated and abandoned; type of dementia, on the other hand, did not affect stress risk. Conclusion: Our results demonstrate the large prevalence of ...
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Behavioral and Psychological Effects of Coronavirus Disease-19 Quarantine in Patients With Dementia
BACKGROUND: In March 2020, the World Health Organization declared a global pandemic due to the novel coronavirus SARS-CoV-2 and several governments planned a national quarantine in order to control the virus spread. Acute psychological effects of quarantine in frail elderly subjects with special needs, such as patients with dementia, have been poorly investigated. The aim of this study was to assess modifications of neuropsychiatric symptoms during quarantine in patients with dementia and their caregivers. METHODS: This is a sub-study of a multicenter nation-wide survey. A structured telephone interview was delivered to family caregivers of patients with diagnosis of Alzheimer disease (AD), dementia with Lewy bodies (DLB), frontotemporal dementia (FTD), and vascular dementia (VD), followed regularly at 87 Italian memory clinics. Variations in behavioral and psychological symptoms (BPSD) were collected after 1 month since quarantine declaration and associations with disease type, severity, gender, and caregiver's stress burden were analyzed. RESULTS: A total of 4,913 caregivers participated in the survey. Increased BPSD was reported in 59.6% of patients as worsening of preexisting symptoms (51.9%) or as new onset (26%), and requested drug modifications in 27.6% of these cases. Irritability, apathy, agitation, and anxiety were the most frequently reported worsening symptoms and sleep disorder and irritability the most frequent new symptoms. Profile of BPSD varied according to dementia type, disease severity, and patients' gender. Anxiety and depression were associated with a diagnosis of AD (OR 1.35, CI: 1.12–1.62), mild to moderate disease severity and female gender. DLB was significantly associated with a higher risk of worsening hallucinations (OR 5.29, CI 3.66–7.64) and sleep disorder (OR 1.69, CI 1.25–2.29), FTD with wandering (OR 1.62, CI 1.12–2.35), and change of appetite (OR 1.52, CI 1.03–2.25). Stress-related symptoms were experienced by two-thirds of caregivers and were associated with increased ...
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10kin1day : a bottom-up neuroimaging initiative
The 10Kin1day workshop was generously sponsored by the Neuroscience and Cognition program Utrecht (NCU) of the Utrecht University (https://www.uu.nl/en/research/neuroscience-and-cognition-utrecht), the ENIGMA consortium (http://enigma.ini.usc.edu), and personal grants: MvdH: NWO-VIDI (452-16-015), MQ Fellowship; SB-C: the Wellcome Trust; Medical Research Council UK; NIHR CLAHRC for Cambridgeshire and Peterborough Foundation National Health Services Trust; Autism Research Trust; LB: New Investigator Award, Canadian Institutes of Health Research; Dara Cannon: Health Research Board (HRB), Ireland (grant code HRA-POR-2013-324); SC: Research Grant Council (Hong Kong)-GRF 14101714; Eveline Crone: ERC-2010-StG-263234; UD: DFG, grant FOR2107 DA1151/5-1, DA1151/5-2, SFB-TRR58, Project C09, IZKF, grant Dan3/012/17; SD: MRC-RFA-UFSP-01-2013 (Shared Roots MRC Flagship grant); TF: Marie Curie Programme, International Training Programme, r'Birth; DG: National Science Centre (UMO-2011/02/A/NZ5/00329); BG: National Science Centre (UMO-2011/02/A/NZ5/00329); JH: Western Sydney University Postgraduate Research Award; LH: Science Foundation Ireland, ERC; HH: Research Grant Council (Hong Kong)-GRF 14101714; LJ: Velux Stiftung, grant 369 & UZH University Research Priority Program Dynamics of Healthy Aging; AJ: DFG, grant FOR2107 JA 1890/7-1; KJ: National Science Centre (UMO-2013/09/N/HS6/02634); VK: The Russian Foundation for Basic Research (grant code 15-06-05758 A); TK: DFG, grant FOR2107 KI 588/14-1, DFG, grant FOR2107 KI 588/15-1; AK: DFG, grant FOR2107 KO 4291/4-1, DFG, grant FOR2107 KO 4291/3-1; IL: The Russian Foundation for Basic Research (grant code 15-06-05758 A); EL: Health and Medical Research Fund - 11121271; SiL: NHMRC-ARC Dementia Fellowship 1110414, NHMRC Dementia Research Team Grant 1095127, NHMRC Project Grant 1062319; CL-J: 537-2011, 2014-849; AM: Wellcome Trust Strategic Award (104036/Z/14/Z), MRC Grant MC_PC_17209; CM: Heisenberg-Grant, German Research Foundation, DFG MO 2363/3-2; PM: Foundation for Science and Technology, Portugal - PDE/BDE/113601/2015; KN: National Science Centre (UMO-2011/02/A/NZ5/00329); PN: National Science Centre (UMO-2013/09/N/HS6/02634); JiP: NWO-Veni 451-10-007; PaR: PER and US would like to thank the Schizophrenia Research Institute and the Chief-Investigators of the Australian Schizophrenia Research Bank V. Carr, U. Schall, R. Scott, A. Jablensky, B. Mowry, P. Michie, S. Catts, F. Henskens, and C. Pantelis; AS: National Science Centre (UMO-2011/02/A/NZ5/00329); SS: European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 707730; CS-M: Carlos III Health Institute (PI13/01958), Carlos III Health Institute (PI16/00889), Carlos III Health Institute (CPII16/00048); ES: National Science Centre (UMO-2011/02/A/NZ5/00329); AT: The Russian Foundation for Basic Research (grant code 15-06-05758 A); DT-G: PI14/00918, PI14/00639; Leonardo Tozzi: Marie Curie Programme, International Training Programme, r'Birth; SV: IMPRS Neurocom stipend; TvE: National Center for Research Resources at the National Institutes of Health (grant numbers: NIH 1 U24 RR021992 (Function Biomedical Informatics Research Network), NIH 1 U24 RR025736-01 (Biomedical Informatics Research Network Coordinating Center; http://www.birncommunity.org) and the NIH Big Data to Knowledge (BD2K) award (U54 EB020403 to Paul Thompson). NvH: NWO-VIDI (452-11-014); MW: National Science Centre (UMO-2011/02/A/NZ5/00329); Veronica O'Keane: Meath Foundation; AV and AW: CRC Obesity Mechanism (SFB 1052) Project A1 funded by DFG. The funding sources had no role in the study design, data collection, analysis, and interpretation of the data ; We organized 10Kin1day, a pop-up scientific event with the goal to bring together neuroimaging groups from around the world to jointly analyze 10,000+ existing MRI connectivity datasets during a 3-day workshop. In this report, we describe the motivation and principles of 10Kin1day, together with a public release of 8,000+ MRI connectome maps of the human brain. Ongoing grand-scale projects like the European Human Brain Project (1), the US Brain Initiative (2), the Human Connectome Project (3), the Chinese Brainnetome (4) and exciting world-wide neuroimaging collaborations such as ENIGMA (5) herald the new era of big neuroscience. In conjunction with these major undertakings, there is an emerging trend for bottom-up initiatives, starting with small-scale projects built upon existing collaborations and infrastructures. As described by Mainen et al. (6), these initiatives are centralized around self-organized groups of researchers working on the same challenges and sharing interests and specialized expertise. These projects could scale and open up to a larger audience and other disciplines over time, eventually lining up and merging their findings with other programs to make the bigger picture.
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Association of Variants in the SPTLC1 Gene with Juvenile Amyotrophic Lateral Sclerosis
In: Johnson , J O , Chia , R , Miller , D E , Li , R , Kumaran , R , Abramzon , Y , Alahmady , N , Renton , A E , Topp , S D , Gibbs , J R , Cookson , M R , Sabir , M S , Dalgard , C L , Troakes , C , Jones , A R , Shatunov , A , Iacoangeli , A , Al Khleifat , A , Ticozzi , N , Silani , V , Gellera , C , Blair , I P , Dobson-Stone , C , Kwok , J B , Bonkowski , E S , Palvadeau , R , Tienari , P J , Morrison , K E , Shaw , P J , Al-Chalabi , A , Brown , R H , Calvo , A , Mora , G , Al-Saif , H , Gotkine , M , Leigh , F , Chang , I J , Perlman , S J , Glass , I , Scott , A I , Shaw , C E , Basak , A N , Landers , J E , Chiò , A , Crawford , T O , Smith , B N , Traynor , B J , Smith , B N , Ticozzi , N , Fallini , C , Gkazi , A S , Topp , S D , Scotter , E L , Kenna , K P , Keagle , P , Tiloca , C , Vance , C , Troakes , C , Colombrita , C , King , A , Pensato , V , Castellotti , B , Baas , F , Ten Asbroek , A L M A , McKenna-Yasek , D , McLaughlin , R L , Polak , M , Asress , S , Esteban-Pérez , J , Stevic , Z , D'Alfonso , S , Mazzini , L , Comi , G P , Del Bo , R , Ceroni , M , Gagliardi , S , Querin , G , Bertolin , C , Van Rheenen , W , Rademakers , R , Van Blitterswijk , M , Lauria , G , Duga , S , Corti , S , Cereda , C , Corrado , L , Sorarù , G , Williams , K L , Nicholson , G A , Blair , I P , Leblond-Manry , C , Rouleau , G A , Hardiman , O , Morrison , K E , Veldink , J H , Van Den Berg , L H , Al-Chalabi , A , Pall , H , Shaw , P J , Turner , M R , Talbot , K , Taroni , F , García-Redondo , A , Wu , Z , Glass , J D , Gellera , C , Ratti , A , Brown , R H , Silani , V , Shaw , C E , Landers , J E , Dalgard , C L , Adeleye , A , Soltis , A R , Alba , C , Viollet , C , Bacikova , D , Hupalo , D N , Sukumar , G , Pollard , H B , Wilkerson , M D , Martinez , E M G , Abramzon , Y , Ahmed , S , Arepalli , S , Baloh , R H , Bowser , R , Brady , C B , Brice , A , Broach , J , Campbell , R H , Camu , W , Chia , R , Cooper-Knock , J , Ding , J , Drepper , C , Drory , V E , Dunckley , T L , Eicher , J D , England , B K , Faghri , F , Feldman , E , Floeter , M K , Fratta , P , Geiger , J T , Gerhard , G , Gibbs , J R , Gibson , S B , Glass , J D , Hardy , J , Harms , M B , Heiman-Patterson , T D , Hernandez , D G , Jansson , L , Kirby , J , Kowall , N W , Laaksovirta , H , Landeck , N , Landi , F , Le Ber , I , Lumbroso , S , Macgowan , D J L , Maragakis , N J , Mora , G , Mouzat , K , Murphy , N A , Myllykangas , L , Nalls , M A , Orrell , R W , Ostrow , L W , Pamphlett , R , Pickering-Brown , S , Pioro , E P , Pletnikova , O , Pliner , H A , Pulst , S M , Ravits , J M , Renton , A E , Rivera , A , Robberecht , W , Rogaeva , E , Rollinson , S , Rothstein , J D , Scholz , S W , Sendtner , M , Shaw , P J , Sidle , K C , Simmons , Z , Singleton , A B , Smith , N , Stone , D J , Tienari , P J , Troncoso , J C , Valori , M , Van Damme , P , Van Deerlin , V M , Van Den Bosch , L , Zinman , L , Landers , J E , Chiò , A , Traynor , B J , Angelocola , S M , Ausiello , F P , Barberis , M , Bartolomei , I , Battistini , S , Bersano , E , Bisogni , G , Borghero , G , Brunetti , M , Cabona , C , Calvo , A , Canale , F , Canosa , A , Cantisani , T A , Capasso , M , Caponnetto , C , Cardinali , P , Carrera , P , Casale , F , Chiò , A , Colletti , T , Conforti , F L , Conte , A , Conti , E , Corbo , M , Cuccu , S , Dalla Bella , E , D'Errico , E , Demarco , G , Dubbioso , R , Ferrarese , C , Ferraro , P M , Filippi , M , Fini , N , Floris , G , Fuda , G , Gallone , S , Gianferrari , G , Giannini , F , Grassano , M , Greco , L , Iazzolino , B , Introna , A , La Bella , V , Lattante , S , Lauria , G , Liguori , R , Logroscino , G , Logullo , F O , Lunetta , C , Mandich , P , Mandrioli , J , Manera , U , Manganelli , F , Marangi , G , Marinou , K , Marrosu , M G , Martinelli , I , Messina , S , Moglia , C , Mora , G , Mosca , L , Murru , M R , Origone , P , Passaniti , C , Petrelli , C , Petrucci , A , Pozzi , S , Pugliatti , M , Quattrini , A , Ricci , C , Riolo , G , Riva , N , Russo , M , Sabatelli , M , Salamone , P , Salivetto , M , Salvi , F , Santarelli , M , Sbaiz , L , Sideri , R , Simone , I , Simonini , C , Spataro , R , Tanel , R , Tedeschi , G , Ticca , A , Torriello , A , Tranquilli , S , Tremolizzo , L , Trojsi , F , Vasta , R , Vacchiano , V , Vita , G , Volanti , P , Zollino , M & Zucchi , E 2021 , ' Association of Variants in the SPTLC1 Gene with Juvenile Amyotrophic Lateral Sclerosis ' , JAMA neurology . https://doi.org/10.1001/jamaneurol.2021.2598
Importance: Juvenile amyotrophic lateral sclerosis (ALS) is a rare form of ALS characterized by age of symptom onset less than 25 years and a variable presentation. Objective: To identify the genetic variants associated with juvenile ALS. Design, Setting, and Participants: In this multicenter family-based genetic study, trio whole-exome sequencing was performed to identify the disease-associated gene in a case series of unrelated patients diagnosed with juvenile ALS and severe growth retardation. The patients and their family members were enrolled at academic hospitals and a government research facility between March 1, 2016, and March 13, 2020, and were observed until October 1, 2020. Whole-exome sequencing was also performed in a series of patients with juvenile ALS. A total of 66 patients with juvenile ALS and 6258 adult patients with ALS participated in the study. Patients were selected for the study based on their diagnosis, and all eligible participants were enrolled in the study. None of the participants had a family history of neurological disorders, suggesting de novo variants as the underlying genetic mechanism. Main Outcomes and Measures: De novo variants present only in the index case and not in unaffected family members. Results: Trio whole-exome sequencing was performed in 3 patients diagnosed with juvenile ALS and their parents. An additional 63 patients with juvenile ALS and 6258 adult patients with ALS were subsequently screened for variants in the SPTLC1 gene. De novo variants in SPTLC1 (p.Ala20Ser in 2 patients and p.Ser331Tyr in 1 patient) were identified in 3 unrelated patients diagnosed with juvenile ALS and failure to thrive. A fourth variant (p.Leu39del) was identified in a patient with juvenile ALS where parental DNA was unavailable. Variants in this gene have been previously shown to be associated with autosomal-dominant hereditary sensory autonomic neuropathy, type 1A, by disrupting an essential enzyme complex in the sphingolipid synthesis pathway. Conclusions and Relevance: These data broaden the phenotype associated with SPTLC1 and suggest that patients presenting with juvenile ALS should be screened for variants in this gene.
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