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Item Choroid plexus infections: neuroimaging appearances of four cases(American Society of Neuroradiology, 1992) Mathews, Vincent P.; Smith, Richard R.; Radiology and Imaging Sciences, School of MedicineItem ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide(Elsevier, 2017-01-15) Thompson, Paul M.; Andreassen, Ole A.; Arias-Vasquez, Alejandro; Bearden, Carrie E.; Boedhoe, Premika S.; Brouwer, Rachel M.; Buckner, Randy L.; Buitelaar, Jan K.; Bulayeva, Kazima B.; Cannon, Dara M.; Cohen, Ronald A.; Conrod, Patricia J.; Dale, Anders M.; Deary, Ian J.; Dennis, Emily L.; de Reus, Marcel A.; Desrivieres, Sylvane; Dima, Danai; Donohoe, Gary; Fisher, Simon E.; Fouche, Jean-Paul; Francks, Clyde; Frangou, Sophia; Franke, Barbara; Ganjgahi, Habib; Garavan, Hugh; Glahn, David C.; Grabe, Hans J.; Guadalupe, Tulio; Gutman, Boris A.; Hashimoto, Ryota; Hibar, Derrek P.; Holland, Dominic; Hoogman, Martine; Pol, Hilleke E. Hulshoff; Hosten, Norbert; Jahanshad, Neda; Kelly, Sinead; Kochunov, Peter; Kremen, William S.; Lee, Phil H.; Mackey, Scott; Martin, Nicholas G.; Mazoyer, Bernard; McDonald, Colm; Medland, Sarah E.; Morey, Rajendra A.; Nichols, Thomas E.; Paus, Tomas; Pausova, Zdenka; Schmaal, Lianne; Schumann, Gunter; Shen, Li; Sisodiya, Sanjay M.; Smit, Dirk J.A.; Smoller, Jordan W.; Stein, Dan J.; Stein, Jason L.; Toro, Roberto; Turner, Jessica A.; Heuvel, Martijn P. van den; Heuvel, Odile L. van den; Erp, Theo G.M. van; Rooij, Daan van; Veltman, Dick J.; Walter, Henrik; Wang, Yalin; Wardlaw, Joanna M.; Whelan, Christopher D.; Wright, Margaret J.; Ye, Jieping; ENIGMA Consortium; Radiology and Imaging Sciences, School of MedicineIn this review, we discuss recent work by the ENIGMA Consortium (http://enigma.ini.usc.edu) – a global alliance of over 500 scientists spread across 200 institutions in 35 countries collectively analyzing brain imaging, clinical, and genetic data. Initially formed to detect genetic influences on brain measures, ENIGMA has grown to over 30 working groups studying 12 major brain diseases by pooling and comparing brain data. In some of the largest neuroimaging studies to date – of schizophrenia and major depression – ENIGMA has found replicable disease effects on the brain that are consistent worldwide, as well as factors that modulate disease effects. In partnership with other consortia including ADNI, CHARGE, IMAGEN and others1, ENIGMA's genomic screens – now numbering over 30,000 MRI scans – have revealed at least 8 genetic loci that affect brain volumes. Downstream of gene findings, ENIGMA has revealed how these individual variants – and genetic variants in general – may affect both the brain and risk for a range of diseases. The ENIGMA consortium is discovering factors that consistently affect brain structure and function that will serve as future predictors linking individual brain scans and genomic data. It is generating vast pools of normative data on brain measures – from tens of thousands of people – that may help detect deviations from normal development or aging in specific groups of subjects. We discuss challenges and opportunities in applying these predictors to individual subjects and new cohorts, as well as lessons we have learned in ENIGMA's efforts so far.Item Structural polymorphism of amyloid fibrils in ATTR amyloidosis revealed by cryo-electron microscopy(Springer Nature, 2024-01-17) Nguyen, Binh An; Singh, Virender; Afrin, Shumaila; Yakubovska, Anna; Wang, Lanie; Ahmed, Yasmin; Pedretti, Rose; Fernandez-Ramirez, Maria del Carmen; Singh, Preeti; Pękała, Maja; Cabrera Hernandez, Luis O.; Kumar, Siddharth; Lemoff, Andrew; Gonzalez-Prieto, Roman; Sawaya, Michael R.; Eisenberg, David S.; Benson, Merrill Douglas; Saelices, Lorena; Pathology and Laboratory Medicine, School of MedicineATTR amyloidosis is caused by the deposition of transthyretin in the form of amyloid fibrils in virtually every organ of the body, including the heart. This systemic deposition leads to a phenotypic variability that has not been molecularly explained yet. In brain amyloid conditions, previous studies suggest an association between clinical phenotype and the molecular structures of their amyloid fibrils. Here we investigate whether there is such an association in ATTRv amyloidosis patients carrying the mutation I84S. Using cryo-electron microscopy, we determined the structures of cardiac fibrils extracted from three ATTR amyloidosis patients carrying the ATTRv-I84S mutation, associated with a consistent clinical phenotype. We found that in each ATTRv-I84S patient, the cardiac fibrils exhibited different local conformations, and these variations can co-exist within the same fibril. Our finding suggests that one amyloid disease may associate with multiple fibril structures in systemic amyloidoses, calling for further studies.Item Technology intervention to support caregiving for Alzheimer’s disease (I-CARE): study protocol for a randomized controlled pilot trial(BMC, 2021-01) Braly, Tyler; Muriathiri, Doris; Brown, Janetta C.; Taylor, Britain M.; Boustani, Malaz A.; Holden, Richard J.; Neurology, School of MedicineBackground: Informal caregivers of patients with Alzheimer's disease and related dementias (ADRD) manage a complex spectrum of patient behavioral and psychological symptoms of dementia (BPSD). Mobile health information technologies have quickly become sources for modern social support and chronic disease management. These technologies can improve our understanding of how to care for patients with ADRD and their informal caregivers. A mobile telehealth intervention could help reduce caregiver burden and BPSD. Methods: This is a pilot randomized controlled trial of 60 dyads of patients living with ADRD and their caregivers, to test the feasibility and estimate the potential effect of the Brain CareNotes (BCN) mobile telehealth system. Participants will be recruited from two health systems. Participants will be randomly assigned to either the BCN intervention arm or usual care comparator. Data will be collected at baseline, 3- and 6-month follow-up. The primary objectives of this trial are to assess feasibility outcomes: (a) recruitment rate, (b) data completion, (c) BCN usability, (d) BCN acceptance, and (e) BCN use and assessed either on an ongoing basis or at 3- and 6-month post-intervention. A secondary objective was to estimate the intervention's effects on caregiver burden and patient BPSD outcomes at 3 and 6 months, assessed by the Neuropsychiatric Inventory. Discussion: The study will assess the intervention feasibility and potential effect size of the BCN telehealth system as a potentially scalable and lower-cost solution for addressing the ADRD public health crisis.