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Combining heterogeneous data sources for neuroimaging based diagnosis: re-Weighting and selecting what is important

Michele Donini, João M. Monteiro, Massimiliano Pontil, Tim Hahn, Andreas J. Fallgatter, John Shawe-Taylor, Janaina Mourão-Miranda
2019 NeuroImage  
Combining neuroimaging and clinical information for diagnosis, as for example behavioral tasks and genetics characteristics, is potentially beneficial but presents challenges in terms of finding the best  ...  data representation for the different sources of information.  ...  It is important to note what makes our method different from the standard approaches to combine heterogeneous information for neuroimaging based diagnosis.  ... 
doi:10.1016/j.neuroimage.2019.01.053 pmid:30894334 pmcid:PMC6547052 fatcat:774ih6lptzcvhpl6v3htolsjji

Combining heterogeneous data sources for neuroimaging based diagnosis: re-weighting and selecting what is important [article]

Michele Donini, Joao M. Monteiro, Massimiliano Pontil, Tim Hahn, Andreas J. Fallgatter, John Shawe-Taylor, Janaina Mourao-Miranda
2018 bioRxiv   pre-print
Combining neuroimaging and clinical information for diagnosis, as for example behavioral tasks and genetics characteristics, is potentially beneficial but presents challenges in terms of finding the best  ...  data representation for the different sources of information.  ...  Our contribution In this paper, we proposed a MKL based approach that is able to re-weight 125 and select the relevant information when combining heterogeneous data.  ... 
doi:10.1101/484311 fatcat:mwrdkjxporhcpok44v2u4rkhii

Structural magnetic resonance imaging for the early diagnosis of dementia due to Alzheimer's disease in people with mild cognitive impairment

Gemma Lombardi, Giada Crescioli, Enrica Cavedo, Ersilia Lucenteforte, Giovanni Casazza, Alessandro-Giacco Bellatorre, Chiara Lista, Giorgio Costantino, Giovanni Frisoni, Gianni Virgili, Graziella Filippini, Cochrane Dementia and Cognitive Improvement Group
2020 The Cochrane library  
We did not estimate pooled sensitivity and specificity for the volume of these two regions because available data were sparse and heterogeneous.  ...  Two teams of two review authors each independently assessed the selected full-text articles for eligibility, extracted data and solved disagreements by consensus.  ...  Potential sources of heterogeneity included the following.  ... 
doi:10.1002/14651858.cd009628.pub2 pmid:32119112 pmcid:PMC7059964 fatcat:3rtrfxunsbgtreppsu3u36k5wm

Machine Learning Techniques for AD/MCI Diagnosis and Prognosis [chapter]

Dinggang Shen, Chong-Yaw Wee, Daoqiang Zhang, Luping Zhou, Pew-Thian Yap
2013 Intelligent Systems Reference Library  
., structural T1-weighted imaging, diffusion-tensor imaging (DTI) and functional magnetic resonance imaging (fMRI), for effective diagnosis and prognosis.  ...  This chapter presents some latest developments in application of machine learning tools to AD and MCI diagnosis and prognosis.  ...  Note that the interpretation is equally important as classification in neuroimaging analysis.  ... 
doi:10.1007/978-3-642-40017-9_8 fatcat:cay26o75sfbi3aa444cuswyhh4

Mononeuropathies: Examination, Diagnosis and Treatment

1999 Journal of Neurology, Neurosurgery and Psychiatry  
How do genetic abnormalities produce epilepsy and what is the cause of the clinical heterogeneity? Here there are only questions.  ...  Yet, despite these concerns, this study is an important and valid eVort.  ... 
doi:10.1136/jnnp.67.6.833b pmid:10567513 pmcid:PMC1736673 fatcat:5ufbzmtrqjbnnjx7dsiuzxre7i

Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future [article]

David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
2021 arXiv   pre-print
We also outline the limitations of existing techniques and discuss potential directions for future research.  ...  We provide an overview of these methods in a systematic manner, organized by their domain of application including functional connectivity, anatomical structure and electrical-based analysis.  ...  spleen: Organ segmentation in CT volumes is an important pre-processing phase for assisted intervention and diagnosis.  ... 
arXiv:2105.13137v1 fatcat:gm7d2ziagba7bj3g34u4t3k43y

Diagnosis and management of ischemic stroke: time is critical

Stanislav Groppa, Eremei Zota, Adrian Bodiu, Alexandru Gasnas, Elena Manole, Natalia Ciobanu, Pavel Leahu, Daniela Efremova, Igor Crivorucica, Danu Glavan, Tatiana Balanuta
2020 Zenodo  
Proper management of stroke depends on a reliable and urgent diagnosis that includes patient / relative - emergency team - hospital chain, so the diagnosis begins with the recognition of the first signs  ...  In order to act promptly in the acute period and subsequently assess the risk factors, the neurological service needs to be equipped with highperformance neuroimaging and clinical laboratory.  ...  The main objective of the "Registry of Stroke Care Quality" (RES-Q) project is to improve the quality of healthcare provided to stroke patients by translating the data collected by RES-Q into effective  ... 
doi:10.5281/zenodo.4016820 fatcat:hi7i5uv6mfgrzgo3d5yldcthsu

An Autoencoder-Based Deep Learning Classifier for Efficient Diagnosis of Autism

Harshini Sewani, Rasha Kashef
2020 Children  
We applied a deep neural network learning on a large brain image dataset obtained from ABIDE (autism brain imaging data exchange) to provide an efficient diagnosis of ASD, especially for children.  ...  diagnosis and prognosis of autism.  ...  Whenever clinical neuroimaging studies are considered, they always opt for an autoencoder before feeding data to any other classification model because of the high dimensionality of genetic and neuroimaging  ... 
doi:10.3390/children7100182 pmid:33066454 fatcat:uwvbfpr6ivaotnlgnwj7vmx5kq

Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS–ADRDA criteria

Bruno Dubois, Howard H Feldman, Claudia Jacova, Steven T DeKosky, Pascale Barberger-Gateau, Jeffrey Cummings, André Delacourte, Douglas Galasko, Serge Gauthier, Gregory Jicha, Kenichi Meguro, John O'Brien (+7 others)
2007 Lancet Neurology  
Distinctive and reliable biomarkers of AD are now available through structural MRI, molecular neuroimaging with PET, and cerebrospinal fl uid analyses.  ...  They stipulate that there must also be at least one or more abnormal biomarkers among structural neuroimaging with MRI, molecular neuroimaging with PET, and cerebrospinal fl uid analysis of amyloid β or  ...  and P Visser.  ... 
doi:10.1016/s1474-4422(07)70178-3 pmid:17616482 fatcat:viy455zvcbdpfbsjjfdv2lmid4

Montreal Cognitive Assessment for the diagnosis of Alzheimer's disease and other dementias

Daniel HJ Davis, Sam T Creavin, Jennifer LY Yip, Anna H Noel-Storr, Carol Brayne, Sarah Cullum
2015 The Cochrane library  
and contacted researchers with potential relevant data.  ...  HTA (Health Technology Assessment Database), ARIF (Aggressive Research Intelligence Facility) and C-EBLM (International Federation of Clinical Chemistry and Laboratory Medicine Committee for Evidence-based  ...  We had intended to carry out a meta-analysis of included studies but, due to differences in study design, participant sampling, reference standards and reported thresholds, we judged that a meta-analysis  ... 
doi:10.1002/14651858.cd010775.pub2 pmid:26513331 pmcid:PMC6682492 fatcat:ogujsjcjpzhnlcvzxoofh5qxx4

Current diagnosis and treatment of anxiety disorders

Alexander Bystritsky, Sahib S Khalsa, Michael E Cameron, Jason Schiffman
2013 P & T : a peer-reviewed journal for formulary management  
More recently, the emphasis in diagnosis has focused on neuroimaging and genetic research.  ...  This approach is based partly on the need for a more comprehensive understanding of how biology, stress, and genetics interact to shape the symptoms of anxiety.  ...  Management of Treatment-Resistant Anxiety In managing refractory anxiety, it is important to start with a re-evaluation of the patient, including the diagnosis; comorbidities; and the interplay of cognitive  ... 
pmid:23599668 pmcid:PMC3628173 fatcat:mx5r2qitlffnfpvr4xi4cayaqq

Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model [article]

Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk
2021 arXiv   pre-print
We believe that the generated counterfactual maps represent data-driven and model-induced knowledge about a target task, i.e., AD diagnosis using structural MRI, which can be a vital source of information  ...  To this end, we devise an attention-based feature refinement module with the guidance of the counterfactual maps.  ...  Unlike other gradient-based approaches, The ADNI dataset, collated by the Alzheimer’s Disease Guided backpropagation [17], Integrated gradients [18], and Neuroimaging Initiative [56], is used  ... 
arXiv:2108.09451v1 fatcat:76d2p2g3czgdxcj2zuyai6htei

On the early diagnosis of Alzheimer's Disease from multimodal signals: A survey

Ane Alberdi, Asier Aztiria, Adrian Basarab
2016 Artificial Intelligence in Medicine  
changes and combine them, so as to detect AD as early as possible.  ...  Issues like "label noise" and multi-site neuroimaging incompatibilities may also have to be overcome, but methods for this purpose are already available.  ...  Acknowledgements The authors would like to thank the anonymous reviewers for the detailed analysis and helpful comments.  ... 
doi:10.1016/j.artmed.2016.06.003 pmid:27506128 fatcat:eeleugymvfd6vempqgkuxn3xva

Neoplastic meningitis in solid tumors: from diagnosis to personalized treatments

Alessia Pellerino, Luca Bertero, Roberta Rudà, Riccardo Soffietti
2018 Therapeutic Advances in Neurological Disorders  
The aim of these guidelines is to integrate the neurological examination with magnetic resonance imaging and cerebrospinal fluid findings as well as to provide a framework for use in clinical trials.  ...  to provide diagnostic criteria and response evaluation scores for NM.  ...  Conflict of interest statement The authors declare that there is no conflict of interest.  ... 
doi:10.1177/1756286418759618 pmid:29535794 pmcid:PMC5844521 fatcat:g3tczp74gjdwbkyzhyymsh5flq

Does my dizzy patient have a stroke? A systematic review of bedside diagnosis in acute vestibular syndrome

A. A. Tarnutzer, A. L. Berkowitz, K. A. Robinson, Y.-H. Hsieh, D. E. Newman-Toker
2011 CMAJ - Canadian Medical Association Journal  
What if the diagnosis of stroke is missed?  ...  What role does laboratory-based audiovestibular testing play in diagnosis?  ...  Considering the frequent use of caloric irrigation to assess vestibular function in specialized neuro-otology clinics, it is important to briefly discuss its limitations.  ... 
doi:10.1503/cmaj.100174 pmid:21576300 pmcid:PMC3114934 fatcat:w3ukyhfleza6xjzb6b45ikm7sy
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