Faculty Bibliography

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247

Multiple sclerosis. 2020:26(1_SUPPL):28-29.DOI:

Ambulation Impact In People With Multiple Sclerosis: More Than Just A Timed 25 Foot Walk [Meeting Abstract]

Srinivasan, J.; Giannuzzi, A.; Cascone, A.; Skudin, C.; Gudesblatt, M.
ISI:000532412600061
ISSN: 1352-4585
CID: 5342692
Multiple sclerosis. 2020:26(1_SUPPL):33-33.DOI:

Multiple Sclerosis Management And EDSS: A Great Start, But A Reason For Change Was Never So Apparent And Needed [Meeting Abstract]

Gudesblatt, M.; Srinivasan, J.; Bumstead, B.; Zarif, M.; Giovannoni, G.
ISI:000532412600070
ISSN: 1352-4585
CID: 5342702
Multiple sclerosis. 2020:The Association Between MRI Brain V(1_SUPPL):96-96.DOI:

The Association Between MRI Brain Volumes And Computerized Multi-domain Cognitive Scores Of People With Multiple Sclerosis [Meeting Abstract]

Golan, D.; Srinivasan, J.; Gudesblatt, M.
ISI:000532412600206
ISSN: 1352-4585
CID: 5342712
Multiple sclerosis. 2020:26(1_SUPPL):99-99.DOI:

Multiple Sclerosis Management: Predicting Disease Trajectory Of Multiple Sclerosis On Multi-dimensional Data Including Digital Cognitive Assessments And Patient Reported Outcomes Using Machine Learning Techniques [Meeting Abstract]

Srinivasan, J.; Gudesblatt, M.
ISI:000532412600212
ISSN: 1352-4585
CID: 5342722
European journal of neurology. 2020:27:333-334.DOI:

Efficacy of Diroximel Fumarate in Relapsing-Remitting MS Patients Who Are Newly Diagnosed or Previously Treated With Interferons or Glatiramer Acetate [Meeting Abstract]

Jasinska, E.; Wray, S.; Ziemssen, T.; Leigh-Pemberton, R.; Chen, H.; Kapadia, S.; Hanna, J.; Gudesblatt, M.
ISI:000534616801030
ISSN: 1351-5101
CID: 5342732
Neurology. 2020:94(15).DOI:

Quantitative MRI Brain Atrophy and IgG Subclass Profile: Cross Sectional Relationship In A Population of People with MS (PwMS) [Meeting Abstract]

Srinivasan, Jared; Dasaro, Christopher; Kaczmarek, Olivia; Bumstead, Barbara; Jaenicke, Kaitlyn; Buhse, Marijean; Golan, Daniel; Zarif, Myassar; Gudesblatt, Mark
ISI:000536058008066
ISSN: 0028-3878
CID: 5342742
Multiple sclerosis. 2020:26(3_SUPPL):130-131.DOI:

Analysis of association between expanded disability status scale and patient determined disease steps [Meeting Abstract]

Makin, C.; Altincatal, A.; Gudesblatt, M.; Kieseier, B.; De Moor, C.
ISI:000596547100255
ISSN: 1352-4585
CID: 5342812
Multiple sclerosis. 2020:26(3_SUPPL):174-174.DOI:

Multiple sclerosis and cognitive impairment: computerized cognitive assessment and promis-cognitive function questionnaire: an unfulfilled promis [Meeting Abstract]

Kaczmarek, O.; Srinivasan, J.; Zarif, M.; Bumstead, B.; Buhse, M.; Golan, D.; Wilken, J.; Jaenicke, K.; Doroski, W.; Lund, D.; Gudesblatt, M.
ISI:000596547100344
ISSN: 1352-4585
CID: 5342822
Multiple sclerosis. 2020:26(3_SUPPL):127-127.DOI:

A comparison of digital gait technologies in a population of people with ms -when the same isn't always exactly the same [Meeting Abstract]

Kaczmarek, O.; Srinivasan, J.; Burke, C.; Khokhar, A.; Zarif, M.; Bumstead, B.; Golan, D.; Buhse, M.; Ofori, E.; Gudesblatt, M.
ISI:000596547100248
ISSN: 1352-4585
CID: 5342802
Multiple sclerosis. 2019.DOI: 10.1177/1352458519879094

Computerized neuropsychological assessment devices in multiple sclerosis: A systematic review

Wojcik, Curtis M; Beier, Meghan; Costello, Kathleen; DeLuca, John; Feinstein, Anthony; Goverover, Yael; Gudesblatt, Mark; Jaworski, Michael; Kalb, Rosalind; Kostich, Lori; LaRocca, Nicholas G; Rodgers, Jonathan D; Benedict, Ralph Hb
BACKGROUND/UNASSIGNED:The proliferation of computerized neuropsychological assessment devices (CNADs) for screening and monitoring cognitive impairment is increasing exponentially. Previous reviews of computerized tests for multiple sclerosis (MS) were primarily qualitative and did not rigorously compare CNADs on psychometric properties. OBJECTIVE/UNASSIGNED:We aimed to systematically review the literature on the use of CNADs in MS and identify test batteries and single tests with good evidence for reliability and validity. METHOD/UNASSIGNED:A search of four major online databases was conducted for publications related to computerized testing and MS. Test-retest reliability and validity coefficients and effect sizes were recorded for each CNAD test, along with administration characteristics. RESULTS/UNASSIGNED:We identified 11 batteries and 33 individual tests from 120 peer-reviewed articles meeting the inclusion criteria. CNADs with the strongest psychometric support include the CogState Brief Battery, Cognitive Drug Research Battery, NeuroTrax, CNS-Vital Signs, and computer-based administrations of the Symbol Digit Modalities Test. CONCLUSION/UNASSIGNED:We identified several CNADs that are valid to screen for MS-related cognitive impairment, or to supplement full, conventional neuropsychological assessment. The necessity of testing with a technician, and in a controlled clinic/laboratory environment, remains uncertain.
PMID: 31637963
ISSN: 1477-0970
CID: 4147242