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Planning sEEG implantation using automated lesion detection: retrospective feasibility study [article]

Konrad Wagstyl, Sophie Adler, Birgit Pimpel, Aswin Chari, Kiran Seunarine, Sara Lorio, Rachel Thornton, Torsten Baldeweg, Martin Tisdall
2019 medRxiv   pre-print
Objective: A retrospective, cross-sectional study to evaluate the feasibility and potential benefits of incorporating deep-learning on structural MRI into planning stereoelectroencephalography (sEEG) implantation in paediatric patients with diagnostically complex drug-resistant epilepsy. This study aims to assess the degree of co-localisation between automated lesion detection and the seizure onset zone (SOZ) as assessed by sEEG. Methods: A neural network classifier was applied to cortical
more » ... res from MRI data from three cohorts. 1) The network was trained and cross-validated using 34 patients with visible focal cortical dysplasias (FCDs). 2) Specificity was assessed in 20 paediatric healthy controls. 3) Feasibility for incorporation into sEEG implantation plans was evaluated in 38 sEEG patients. Coordinates of sEEG contacts were coregistered with classifier-predicted lesions. sEEG contacts in seizure onset and irritative tissue were identified by clinical neurophysiologists. A distance of <10mm between SOZ contacts and classifier-predicted lesions was considered co-localisation. Results: In patients with radiologically-defined lesions, classifier sensitivity was 74% (25/34 lesions detected). No clusters were detected in the controls (specificity 100%). Of 34 sEEG patients, 21 patients had a focal cortical SOZ. Of these there was co-localisation between classifier output and SOZ contacts in 62%. The algorithm detected 7/8 histopathologically-confirmed FCDs (86%). Conclusions: There was a high degree of co-localisation between automated lesion detection and sEEG. We have created a framework for incorporation of deep-learning based MRI lesion detection into sEEG implantation planning. Our findings demonstrate that automated MRI analysis could be used to plan optimal electrode trajectories.
doi:10.1101/2019.12.08.19013979 fatcat:iaf7w7gs2rhdnb5xyijsy7i6zm

Planning stereoelectroencephalography using automated lesion detection: Retrospective feasibility study

Konrad Wagstyl, Sophie Adler, Birgit Pimpel, Aswin Chari, Kiran Seunarine, Sara Lorio, Rachel Thornton, Torsten Baldeweg, Martin Tisdall
2020 Epilepsia  
AUTHOR CONTRIBUTIONS ORCID Konrad Wagstyl https://orcid.org/0000-0003-3439-5808 Sara Lorio https://orcid.org/0000-0002-1790-3586 Torsten Baldeweg https://orcid. org/0000-0002-5724-1679  ... 
doi:10.1111/epi.16574 pmid:32533794 fatcat:6utedvptyjckray6pwswdsfuwi

Predictors of motor outcome after childhood arterial ischemic stroke

Emily Blackburn, Felice D'arco, Andrea Devito, Roberta Ioppolo, Sara Lorio, Bernadine Quirk, Vijeya Ganesan
2021 Developmental Medicine & Child Neurology  
To identify clinical and radiological predictors of long-term motor outcome after childhood-onset arterial ischemic stroke (AIS) in the middle cerebral artery (MCA) territory. Medical records of 69 children (36 females, 33 males; median age at index AIS 3y 3mo, range: 1mo-16y) who presented to Great Ormond Street Hospital with first AIS in the MCA territory were reviewed retrospectively. Cases were categorized using the Childhood AIS Standardized Classification and Diagnostic Evaluation
more » ... ). Magnetic resonance imaging (MRI) and angiography were evaluated. An Alberta Stroke Program Early Computed Tomography Score (ASPECTS) was calculated on MRI. The Recurrence and Recovery Questionnaire assessed motor outcome and was dichotomized into good/poor. Eventual motor outcome was good in 49 children and poor in 20. There were no acute radiological predictors of eventual motor outcome. At follow-up, CASCADE 3A (i.e. moyamoya) and Wallerian degeneration were significantly associated with poor motor outcome. In the multivariate analysis, younger age and CASCADE 3A predicted poor motor outcome. In the context of recommendations regarding unproven and potentially high-risk hyperacute therapies for childhood AIS, prediction of outcome could usefully contribute to risk/benefit analysis. Unfortunately, paradigms used in adults, such as ASPECTS, are not useful in children in the acute/early subacute phase of AIS.
doi:10.1111/dmcn.14914 pmid:33969478 fatcat:pwi44sz77bdfhj6fnink5xd3p4

Towards in vivo focal cortical dysplasia phenotyping using quantitative MRI

Sophie Adler, Sara Lorio, Thomas S. Jacques, Barbora Benova, Roxana Gunny, J. Helen Cross, Torsten Baldeweg, David W. Carmichael
2017 NeuroImage: Clinical  
be due to true morphological alterations or can be the results of changes in MRI contrast due to biophysical tissue properties, such as water, myelin and iron content, at the microstructural scale (Lorio  ... 
doi:10.1016/j.nicl.2017.04.017 pmid:28491496 pmcid:PMC5413300 fatcat:5hm4i3da25eqffud5my67p5w3q

Flexible proton density (PD) mapping using multi-contrast variable flip angle (VFA) data

Sara Lorio, Tim M. Tierney, Amy McDowell, Owen J. Arthurs, Antoine Lutti, Nikolaus Weiskopf, David W. Carmichael
2019 NeuroImage  
If the scaling is based on the WM, the mean intensity is Lorio et al. 2018 6 assumed to be equal to 69 p.u.  ...  Estimation of multi-contrast PD maps M A N U S C R I P T A C C E P T E D ACCEPTED MANUSCRIPT Lorio et al. 2018 Figure 1 shows the workflow for the estimation of the multi-contrast PD maps.  ... 
doi:10.1016/j.neuroimage.2018.11.023 pmid:30465865 pmcid:PMC7611405 fatcat:t3vdexztkfhujmrp6akieqrneq

Multiparametric mapping in post-mortem perinatal MRI: a feasibility study

Amy R McDowell, Susan C Shelmerdine, Sara Lorio, Wendy Norman, Rod Jones, David W Carmichael, Owen J Arthurs
2020 British Journal of Radiology  
RF transmit field maps for geometric distortion and off-resonance effects. 11 An external syringe containing 0.09 mg/ml Gadolinium was placed by the head for calibration of the PD maps as detailed in Lorio  ... 
doi:10.1259/bjr.20190952 pmid:32330074 pmcid:PMC7336057 fatcat:cam5muoi6zgq7ifqryprydxusy

The Combination of DAT-SPECT, Structural and Diffusion MRI Predicts Clinical Progression in Parkinson's Disease

Sara Lorio, Fabio Sambataro, Alessandro Bertolino, Bogdan Draganski, Juergen Dukart
2019 Frontiers in Aging Neuroscience  
the T1-weighted images using automated tissue classification and enhanced subcortical tissue probability maps embedded into the unified segmentation framework of SPM12 (Ashburner and Friston, 2005; Lorio  ... 
doi:10.3389/fnagi.2019.00057 pmid:30930768 pmcid:PMC6428714 fatcat:7jmqoee2tvakncpqijc3c5f2wa

Neurobiological origin of spurious brain morphological changes: A quantitative MRI study

Sara Lorio, Ferath Kherif, Anne Ruef, Lester Melie-Garcia, Richard Frackowiak, John Ashburner, Gunther Helms, Antoine Lutti, Bodgan Draganski
2016 Human Brain Mapping  
., 2007] except in subcortical brain areas with high levels of iron Lorio et al., 2014] .  ...  In deep brain nuclei this is due the higher iron content that reduces the longitudinal relaxation time [Lorio et al., 2014; Patenaude et al., 2011] .  ... 
doi:10.1002/hbm.23137 pmid:26876452 pmcid:PMC4855623 fatcat:qzeocfxclzefnofdaapzjbs6je

MRI profiling of focal cortical dysplasia using multi‐compartment diffusion models

Sara Lorio, Sophie Adler, Roxana Gunny, Felice D'Arco, Enrico Kaden, Konrad Wagstyl, Thomas S. Jacques, Chris A. Clark, Judith Helen Cross, Torsten Baldeweg, David W. Carmichael
2020 Epilepsia  
ORCID Sara Lorio https://orcid.org/0000-0002-1790-3586 Torsten Baldeweg https://orcid. org/0000-0002-5724-1679 SUPPORTING INFORMATION Additional supporting information may be found online in the Supporting  ... 
doi:10.1111/epi.16451 pmid:32065673 fatcat:idmogs5h25dovk52guuwoe3jpa

Spatial Resolution and Imaging Encoding fMRI Settings for Optimal Cortical and Subcortical Motor Somatotopy in the Human Brain

Renaud Marquis, Sandrine Muller, Sara Lorio, Borja Rodriguez-Herreros, Lester Melie-Garcia, Ferath Kherif, Antoine Lutti, Bogdan Draganski
2019 Frontiers in Neuroscience  
There is much controversy about the optimal trade-off between blood-oxygen-level-dependent (BOLD) sensitivity and spatial precision in experiments on brain's topology properties using functional magnetic resonance imaging (fMRI). The sparse empirical evidence and regional specificity of these interactions pose a practical burden for the choice of imaging protocol parameters. Here, we test in a motor somatotopy experiment the impact of fMRI spatial resolution on differentiation between body part
more » ... representations in cortex and subcortical structures. Motor somatotopy patterns were obtained in a block-design paradigm and visually cued movements of face, upper and lower limbs at 1.5, 2, and 3 mm spatial resolution. The degree of segregation of the body parts' spatial representations was estimated using a pattern component model. In cortical areas, we observed the same level of segregation between somatotopy maps across all three resolutions. In subcortical areas the degree of effective similarity between spatial representations was significantly impacted by the image resolution. The 1.5 mm 3D EPI and 3 mm 2D EPI protocols led to higher segregation between motor representations compared to the 2 mm 3D EPI protocol. This finding could not be attributed to differential BOLD sensitivity or delineation of functional areas alone and suggests a crucial role of the image encoding scheme - i.e., 2D vs. 3D EPI. Our study contributes to the field by providing empirical evidence about the impact of acquisition protocols for the delineation of somatotopic areas in cortical and sub-cortical brain regions.
doi:10.3389/fnins.2019.00571 pmid:31244595 pmcid:PMC6579882 fatcat:nzmrejt6ljhkbalnynlziruhpy

Quantitative MRI susceptibility mapping reveals cortical signatures of changes in iron, calcium and zinc in malformations of cortical development in children with drug-resistant epilepsy [article]

Sara Lorio, Jan Sedlacik, Po-Wah So, Harold G. Parkes, Roxana Gunny, Ulrike Loebel, Yao-Feng Li, Emma Dixon, Sophie Adler, J. Helen Cross, Torsten Baldeweg, Thomas S. Jacques (+2 others)
2020 biorxiv/medrxiv   pre-print
., 2018 ; Lorio et al., 2020 ; Wagstyl et al., 2020 ) .  ...  Credit authorship contribution statementSara Lorio: Methodology, Software, Validation, Formal analysis, Investigation, Data curation, Writing -original draft.  ... 
doi:10.1101/2020.09.15.20157123 fatcat:mq2vb2p4xzcbvjqg3khe4zvqlm

Quantitative MRI susceptibility mapping reveals cortical signatures of changes in iron, calcium and zinc in malformations of cortical development in children with drug-resistant epilepsy

Sara Lorio, Jan Sedlacik, Po-Wah So, Harold G. Parkes, Roxana Gunny, Ulrike Löbel, Yao-Feng Li, Olumide Ogunbiyi, Talisa Mistry, Emma Dixon, Sophie Adler, J. Helen Cross (+4 others)
2021 NeuroImage  
., 2018 ; Lorio et al., 2020 ; Wagstyl et al., 2020 ) .  ...  Credit authorship contribution statementSara Lorio: Methodology, Software, Validation, Formal analysis, Investigation, Data curation, Writing -original draft.  ... 
doi:10.1016/j.neuroimage.2021.118102 pmid:34058334 fatcat:xkwpebkiejghffwuf2ptuppcvq

A Statistical Approach for the Automatic Recognition of Traffic Sign Deterioration

Walter Allasia, Francesco Gallo, Mario Ferraro, Sara Lorio
unpublished
This paper describes a software application based on statistical methods for the automatic recognition of traffic sign deterioration. The evaluation of traffic sign degradation is usually performed by devices applied on top of the road sign surface, measuring color parameters such as chromatic coordinates and the luminance factor. Moreover, the devices can only check a small fraction of the traffic sign surface at a time, requiring several acquisitions on the same traffic sign. In order to
more » ... e the costs related to monitoring and have a periodic control of the traffic sign status, we propose a fast automatic method based on video acquisition and processing that can be easily operated in patrolling vehicles provided with a camera. A pattern detection algorithm based on color and texture features is applied to the images extracted from the acquired videos in order to detect the traffic signs ROIs, which are analyzed using a statistical approach based on the Kullback-Leibler divergence and Kolmogorov-Smirnov test. Making use of a control sample of not deteriorated traffic sign images, a comparison between the acquired and the reference images is performed. Both statistical methods have been used to compare 150 pairs of traffic signs, achieving high precision and recall, proving that the proposed approach can be a good candidate solution for automatic traffic sign deterioration analysis.
fatcat:7mrpsvxvufgzhn2x7d5aqs35ge

Page 92 of The Journal of Speech and Hearing Disorders Vol. 15, Issue 1 [page]

1950 The Journal of Speech and Hearing Disorders  
Baronofsky, Dorothy Lorio Bebout, Betty Becker, Myra Marks Bednorz, Gertrude Ann Bennett, Glendon L. Berlin, Asa J. Bernbaum, Madeline C. Bixenstine, Anita Black, Martha Blattspieler, Ellen B.  ...  Cattle, Sara Fontaine Cherhavy, Irene Clark, Warren James Clemons, Elaine S. Cohen, Eva Schlossberg Cothran, Lois Cotten, Frances Cottingham, Martha L. Craig, Rebecca Sue Cross, Gloria J.  ... 

Page 1175 of American Journal of Public Health Vol. 41, Issue 9 [page]

1951 American Journal of Public Health  
Lioyp F Lorio, M.D. IRWIN S. NEIMAN, M.D. IRVING SHAPIRO. E. RicHarp WEINERMAN, M.D. LAWRENCE C. WELLs. HuntTINGTON WILLIAMS, M.D.  ...  Sara E. BranuaM, M.D. Study on Etiology, Epidemiology, and Antibiotic Therapy of Infantile Diarrhea with Particular Reference to Certain Serotypes of Escherichia coli. Erwin Neter, M.D., CuHartes R.  ... 
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