CBI Neuroinformatics Portal for Clinical and Translational Researchers

CBI Neuroinformatics Platform Portal - 1

Neuroimaging in clinical research Neuroimaging data (MRI, PET, etc.) is useful in helping researchers understand more of the structure and function of the brain However, analyzing these images is time consuming, both in terms of time to master the skills necessary to conduct analyses and also time to actually process images Analyses require expensive, high-performance computers Neuroimaging data is not easily accessible, and acquiring new scans for studies is costly Expertise is necessary for interpreting the results of neuroimaging analyses - 2

CBI Neuroinformatics Platform Portal Therefore, a tool that provides contextualized data from the results of analysis of large scale imaging datasets would be greatly beneficial to clinical and translational researchers The CBI Neuroinformatics Platform Portal is intended to function as an online tool that researchers can access from anywhere where they can search through easy to understand neuroimaging metrics to use as data in pilot grants or generate new hypotheses - 3

High-level overview What is the CBI Neuroinformatics Portal? The CBI Neuroimaging Core has partnered with the Informatics Core to combine demographic and imaging data to produce predictive analytics that will speed the translation of research into practice. This data can be accessed through an online statistics portal aimed at clinical and translational researchers with little-to-no neuroimaging experience What can the CBI Neuroinformatics Portal do for me? The CBI Neuroinformatics Portal will draw from comprehensive datasets to provide clinical and translational researchers with contextualized data and statistics that are easy to comprehend without neuroimaging experience The data this portal generates may be used as pilot data for prospective study grants and to guide future research - 4

Use cases Clinical researcher 1 1. Wants to know whether thalamic volume is abnormally low post stroke 2. Logs into CBI Neuroinformatics Portal - 3. Searches for all individuals with thalamic volumetry and prior stroke 4. The portal returns the mean and standard deviation of thalamic volume for post- stroke group 5. The portal also returns the mean and standard deviation of thalamic volume for normal controls in the dataset and performs a t-test to compare the two groups 6. The researcher can then use these results to guide future stroke research 5

Use cases Clinical researcher 2 1. Wants to compare a patient (53 year old female) with Relapsing Remitting MS to their peers - 2. Logs into CBI Neuroinformatics Portal and searches for the patient 3. The portal compares the patient s imaging metrics to other individuals of the same age, sex, disease phenotype, and clinical disability 4. The portal then estimates the patient s percentile relative to other similar cases i.e. This patient is in the 90thpercentile of 53 year old females with Relapsing Remitting MS, based on this level of disability and these imaging metrics 6

Planned features The following slides show proof-of-concept images of features intended to be in the Portal. The Portal is under active development, and not all features are fully integrated. Additional features may be added or changed depending on feedback from the user survey. 1. Query all data pertaining to a specific brain region - 2. Measure the correlation between different imaging metrics and demographic data 3. Estimate the percentile a specific subject falls into relative to peers with similar imaging metrics and demographic data 7

Find data about specific regions within the brain Users can select from a list of nearly 100 brain regions to query every metric pertaining to that region in the database. Users can also select subsets of the database, such as only subjects within a specific age range or disease group. The portal can provide visualizations of the distribution of queried data, as well as some brief descriptive statistics. CBI Neuroinformatics Platform Portal Ho me Do c u me nt a t i o n Ab o u t Region of interest Re g i o n Regions of interest W h i c h b r a i n r e g i o n wo u l d y o u l i k e t o k no w a b o u t ? Neuroimaging measure correlations Quantile regression Th a l a mu s Cu ne u s F r o nt a l P o l e Data Public Data Sources Su b mi t M e a su r e Co l u mn - T h a l a mi c v o l u me SC t o c u ne u s me a n/ sd me a n/ sd F C t o c u ne u s me a n/ sd Warning T h i s t o o l i s i nt e nd e d t o g e ne r a t e ne w h y p o t h e se s ONL Y a nd sh o u l d no t b e u se d t o r e p l a c e o r v e r i f y a c t u a l sc i e nt i f i c e x p e r i me nt s. u se t h i s t o o l t o g u i d e f u t u r e r e se a r c h . I nst e a d , 8

See the correlation between imaging metrics and demographic data Users can select multiple imaging metrics and demographic data to observe the correlation between them. Users can limit the data used to compete the correlations to specific age ranges or disease groups. The portal can provide visualizations of the correlation and some simple statistics (e.g. Pearson R, p value, etc.). CBI Neuroinformatics Platform Portal Ho me Do c u me nt a t i o n Ab o u t Neuroimaging measures M e a su r e M e a su r e Regions of Interest W h i c h me a su r e s d o y o u wa nt t o sh o w t h e r e l a t i o nsh i p b e t we e n? Th a l a mi c v o l u me nW BV DM N E f f i c i e nc y Neuroimaging measure correlations Vs Ag e Se x Di se a se g r o u p Quantile regression Public Data Sources Su b mi t Su b mi t - Warning T h i s t o o l i s i nt e nd e d t o g e ne r a t e ne w h y p o t h e se s ONL Y a nd sh o u l d no t b e u se d t o r e p l a c e o r v e r i f y a c t u a l sc i e nt i f i c e x p e r i me nt s. u se t h i s t o o l t o g u i d e f u t u r e r e se a r c h . I nst e a d , 9

Estimate the percentile of a subject accounting for imaging metrics and demographic data Users can select subjects/timepoints from the database and estimate the percentile of that subject relative to their peers Users can construct the model by selecting which demographic and imaging factors to include The portal can provide the estimated percentile and a graph of where the subject falls within the context of similar subjects CBI Neuroinformatics Platform Portal Ho me Do c u me nt a t i o n Ab o u t Quantile regression Regions of Interest F i nd t h e q u a nt i l e f o r a g i v e n su b j e c t , a c c o u nt i ng f o r se v e r a l f a c t o r s. Neuroimaging measure correlations Quantile regression Predicted Quantile: 90% Legend F a c t o r Public Data Sources Ag e Accounting for: Ag e = 53 Se x = F Di se a se = RRM S T h a l a mi c Vo l u me = 1 6. 7 35 mL - Se x Di se a se T h a l a mi c Vo l u me Su b mi t Warning T h i s t o o l i s i nt e nd e d t o g e ne r a t e ne w h y p o t h e se s ONL Y a nd sh o u l d no t b e u se d t o r e p l a c e o r v e r i f y a c t u a l sc i e nt i f i c e x p e r i me nt s. u se t h i s t o o l t o g u i d e f u t u r e r e se a r c h . I nst e a d , 10