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Cloud-Based Brain Magnetic Resonance Image Segmentation and Parcellation System for Individualized Prediction of Cognitive Worsening

Ryo Sakamoto, Christopher Marano, Michael I. Miller, Constantine G. Lyketsos, Yue Li, Susumu Mori, Kenichi Oishi, Alzheimer's Disease Neuroimaging Initiative ADNI
2019 Journal of Healthcare Engineering  
The Mini Mental State Examination (MMSE) was used as a measure of cognitive function.  ...  The normalized volume of 265 parcels, combined with baseline MMSE score, age, and sex were input variables for a Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis, with MMSE change  ...  Data collection and sharing for this project was funded by the Alzheimer's  ... 
doi:10.1155/2019/9507193 pmid:30838124 pmcid:PMC6374863 fatcat:jdjoc2mq4bgnvnahvdthbwro7i

Systematic volumetric analysis predicts response to CSF drainage and outcome to shunt surgery in idiopathic normal pressure hydrocephalus

Dan Wu, Abhay Moghekar, Wen Shi, Ari M. Blitz, Susumu Mori
2021 European Radiology  
Volumes at multi-granularity levels were used in a recursive feature elimination model to classify CSF drainage responders and non-responders.  ...  We then used pre-surgical brain volumes to predict Tinetti and MMSE scores after shunting, based on the least absolute shrinkage and selection operator.  ...  We showed that whole-brain volumetric analysis, combined with the LASSO regression model, could be used to predict the gait and cognitive performance.  ... 
doi:10.1007/s00330-020-07531-z pmid:33389035 fatcat:gw2z6snjw5bp5m4q6otmyrjwpe

The heterogeneous functional architecture of the posteromedial cortex is associated with selective functional connectivity differences in Alzheimer's disease

Wasim Khan, Ali Amad, Vincent Giampietro, Emilio Werden, Sara De Simoni, Jonathan O'Muircheartaigh, Eric Westman, Owen O'Daly, Steve C. R. Williams, Amy Brodtmann, for the Alzheimer's Disease Neuroimaging Initiative
2019 Human Brain Mapping  
within the PMC, and its unique whole-brain functional connectivity.  ...  The posteromedial cortex (PMC) is a key region involved in the development and progression of Alzheimer's disease (AD).  ...  Functional connectivity of this network is plotted against (b) the 11-item Alzheimer's disease assessment scale-cognitive subscale (ADAS-cog11) scores, (c) mini-mental-state examination (MMSE) scores,  ... 
doi:10.1002/hbm.24894 pmid:31854490 pmcid:PMC7268042 fatcat:x4gtebmu7fekxg4ojxifyppcpq

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

David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
2021 Sensors  
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.  ...  In this survey, we thoroughly review the different types of graph architectures and their applications in healthcare.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21144758 fatcat:jytyt4u2pjgvhnhcto3vcvd3a4

Deep Learning and Neurology: A Systematic Review

Aly Al-Amyn Valliani, Daniel Ranti, Eric Karl Oermann
2019 Neurology and Therapy  
Here we review the various domains in which deep learning algorithms have already provided impetus for change-areas such as medical image analysis for the improved diagnosis of Alzheimer's disease and  ...  the early detection of acute neurologic events; medical image segmentation for quantitative evaluation of neuroanatomy and vasculature; connectome mapping for the diagnosis of Alzheimer's, autism spectrum  ...  with cerebrospinal fluid biomarker data and clinical scores from the Mini-Mental State Examination (MMSE) and Alzheimer's Disease Assessment Scale-Cognitive subscale (ADAS-Cog) to train an SVM classifier  ... 
doi:10.1007/s40120-019-00153-8 pmid:31435868 pmcid:PMC6858915 fatcat:tifna6pllzgqxcae66d7chv3xa

Clinical Application of Automatic Segmentation of Medial Temporal Lobe Subregions in Prodromal and Dementia-Level Alzheimer's Disease

Eske Christiane Gertje, John Pluta, Sandhitsu Das, Lauren Mancuso, Dasha Kliot, Paul Yushkevich, David Wolk
2016 Journal of Alzheimer's Disease  
Background-Volumetry of medial temporal lobe (MTL) structures to diagnose Alzheimer's disease (AD) in its earliest symptomatic stage could be of great importance for interventions or disease modifying  ...  Automatic segmentation of magnetic resonance images (MRIs) in a research population has previously been shown to detect evidence of neurodegeneration in MTL subregions and to help discriminate AD and mild  ...  Acknowledgments This study was supported by the National Institutes of Health (NIH) grants AG037376, AG028018, AG010124 and grant EB017255.  ... 
doi:10.3233/jad-160014 pmid:27567809 pmcid:PMC5520993 fatcat:2ppjfrthebhuneou7bedoxvfvy

A Structural Connectivity Disruption One Decade before the Typical Age for Dementia: A Study in Healthy Subjects with Family History of Alzheimer's Disease

F Ramírez-Toraño, Kausar Abbas, Ricardo Bruña, Silvia Marcos de Pedro, Natividad Gómez-Ruiz, Ana Barabash, Ernesto Pereda, Alberto Marcos, Ramón Lopez Higes, Fernando Maestu, Joaquín Goñi
2021 Cerebral Cortex Communications  
The sample in this study consisted of 123 first-degree Alzheimer's disease relatives and 61 non-relatives.  ...  Finally, we tested the association of the structural-connectome-traits with different factors of relevance for Alzheimer's disease by means of a multiple linear regression.  ...  infarction or focal lesions in a T2-weighted MRI scan; (3) alcoholism or chronic use of anxiolytics, neuroleptics, narcotics, anticonvulsants or sedative hypnotics; (4) Mini-Mental State Examination (MMSE  ... 
doi:10.1093/texcom/tgab051 pmid:34647029 pmcid:PMC8501268 fatcat:y57kuzokmnbjjemcrygaksosfq

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 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.  ...  In this survey, we thoroughly review the different types of graph architectures and their applications in healthcare.  ...  Alzheimer's disease, breast cancer detection, organ segmentation, or brain data regression).  ... 
arXiv:2105.13137v1 fatcat:gm7d2ziagba7bj3g34u4t3k43y

Diagnostic power of resting‐state fMRI for detection of network connectivity in Alzheimer's disease and mild cognitive impairment: A systematic review

Buhari Ibrahim, Subapriya Suppiah, Normala Ibrahim, Mazlyfarina Mohamad, Hasyma Abu Hassan, Nisha Syed Nasser, M Iqbal Saripan
2021 Human Brain Mapping  
Resting-state fMRI (rs-fMRI) detects functional connectivity (FC) abnormalities that occur in the brains of patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI).  ...  of rs-fMRI datasets to become a mainstream option for diagnosing AD and predicting the conversion of HC/MCI to AD.  ...  Several studies have analyzed the relationship between the FC of the DMN, Mini-Mental State Examination (MMSE) test scores, and the development of disease among amnestic MCI (aMCI) and AD patients and  ... 
doi:10.1002/hbm.25369 pmid:33942449 pmcid:PMC8127155 fatcat:7xtbqaupmbfjja5cuvc6kgu7su

XI Convegno Nazionale: Firenze, 17–19 marzo 2016, Palazzo dei Congressi – Villa Vittoria

M. Musicco, P. Caffarra, M. Bozzali, A.C. Bruni, B. Nacmias, L. Pantoni, G. Sorrentino, A. Venneri
2016 Journal of Alzheimer's Disease  
Conclusions: Relative to PD no-ICD, PD-ICD patients are characterized by a more severe involvement of frontal, meso-limbic and motor circuits.  ...  Furthermore, in PD-ICD, the lack of increased functional connectivity within the sensorimotor-network together with their cortical thinning in the same regions, suggest a greater disconnection among these  ...  in late onset Alzheimer's disease cases with cerebrovascular lesions (Bernardi L. et al, 2009 ) and in familial early-onset Alzheimer disease cases (Armstrog J. et al, 2004).  ... 
doi:10.3233/jad-169001 pmid:27232541 fatcat:ld4yvhhabbdrzeok5ghvddevze

FUNDAMANT: an interventional 72-week phase 1 follow-up study of AADvac1, an active immunotherapy against tau protein pathology in Alzheimer's disease

Petr Novak, Reinhold Schmidt, Eva Kontsekova, Branislav Kovacech, Tomas Smolek, Stanislav Katina, Lubica Fialova, Michal Prcina, Vojtech Parrak, Peter Dal-Bianco, Martin Brunner, Wolfgang Staffen (+8 others)
2018 Alzheimer's Research & Therapy  
Neurofibrillary pathology composed of tau protein is closely correlated with severity and phenotype of cognitive impairment in patients with Alzheimer's disease and non-Alzheimer's tauopathies.  ...  Targeting pathological tau proteins via immunotherapy is a promising strategy for disease-modifying treatment of Alzheimer's disease.  ...  Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.  ... 
doi:10.1186/s13195-018-0436-1 fatcat:nfze2zkysfc4pfxrdkck7w64iq

Diffusion models reveal white matter microstructural changes with aging, pathology, and cognition

Sheelakumari Raghavan, Robert I Reid, Scott A Przybelski, Timothy G Lesnick, Jonathan Graff-Radford, Christopher G Schwarz, David S Knopman, Michelle M Mielke, Mary M Machulda, Ronald C Petersen, Clifford R Jack, Prashanthi Vemuri
2021 Brain Communications  
68.3 ±13.1 years) from the Mayo Clinic Study of Aging with multi-shell diffusion imaging, fluid attenuated inversion recovery MRI as well as amyloid and tau PET scans were included in this study.  ...  NODDI provides additional information about synaptic density, organization, and free water content which may aid in providing mechanistic insights into disease progression.  ...  We thank all the study participants and staff in the Mayo Clinic Study of Aging, Mayo Alzheimer's Disease Research Center, and Aging Dementia Imaging Research laboratory at the Mayo Clinic for making this  ... 
doi:10.1093/braincomms/fcab106 pmid:34136811 pmcid:PMC8202149 fatcat:ny6kp7tdnbgdnlfild4toe7rmi

Apolipoprotein ε4 modifies obesity-related atrophy in the hippocampal formation of cognitively healthy adults [article]

Bethany Coad, Parisa Ghomroudi, Rebecca Sims, John Aggleton, Seralynne Vann, Claudia Metzler-Baddeley
2021 bioRxiv   pre-print
Obesity led to reductions in myelin/neurite packing and size/complexity regardless of APOE and FH status.  ...  Subfields were labelled with the Automatic Segmentation of Hippocampal Subfields (ASHS) and FreeSurfer (version 6) protocols.  ...  with the collection and scoring of the cognitive and health data, and Rhodri Thomas for assistance with the APOE genotyping of the saliva samples.  ... 
doi:10.1101/2021.11.12.468385 fatcat:lvfp3ub5f5czxobhpx3kcbnlfq


2012 Dementia and Geriatric Cognitive Disorders  
Methods: Anonymised clinical data from a pathologically confirmed cohort of 224 patients from the Manchester Brain Bank were examined by two 'naïve' raters, who had no knowledge of the patients and were  ...  Responses were coded for accuracy of adjective production. We used regression analyses to relate coordination limitations to gray matter (GM) in bvFTD.  ...  The case is presented for its rarity of relatively late onset of FTD with possible temporal association with a parasagittal meningioma, and the challenges faced in management.  ... 
doi:10.1159/000342903 pmid:23007027 fatcat:io2rfqz7hndlddkrquqhkjhm7m

Deep learning for small and big data in psychiatry

Georgia Koppe, Andreas Meyer-Lindenberg, Daniel Durstewitz
2020 Neuropsychopharmacology  
Here, we aim at giving a comprehensive overview on how we can yet use such models for prediction in psychiatry.  ...  To this end, it appears that the analysis of 'small' experimental samples using conventional statistical approached has largely failed to capture the heterogeneity underlying psychiatric phenotypes.  ...  This approach could be based on the analysis of large patient cohorts that include sufficient heterogeneity covering a wider range of personal disease histories, and on trans-diagnostic and multi-level  ... 
doi:10.1038/s41386-020-0767-z pmid:32668442 fatcat:c4aon35pf5c4ro3qikvw7qbgsi
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