Konectom™ Cognitive Processing Speed Test Enables Reliable Remote, Unsupervised Cognitive Assessment in People with Multiple Sclerosis: Exploring the Use of Substitution Time As a Novel Digital Outcome Measure.

Matthew Scaramozza, Patrizia A. Chiesa,Lauren Zajac, Zhaonan Sun, Minao Tang,Adrien Juraver,Emmanuel Bartholome,Julie Charre-Morin,Aurore Saubusse,Sterling C. Johnson,Bruno Brochet,Loic Carment, Marta Ruiz,Nolan Campbell,Aurelie Ruet

MULTIPLE SCLEROSIS JOURNAL（2024）

Biogen | CHU Bordeaux | Univ Wisconsin Madison | Univ Bordeaux | Ad Scientiam

Cited 2|Views13

Abstract

Background: The Konectom (TM) smartphone-based cognitive processing speed (CPS) test is designed to assess processing speed and account for impact of visuomotor function on performance. Objective: Evaluate reliability and validity of Konectom CPS Test, performed in clinic and remotely. Methods: Data were collected from people with multiple sclerosis (PwMS) aged 18-64 years and healthy control participants (HC) matched for age, sex, and education. Remote test-retest reliability (intraclass correlation coefficients, ICC); correlation with established clinical measures (Spearman correlation coefficients); group analyses between cognitively impaired/unimpaired PwMS; and influence of age, sex, education, and upper limb motor function on CPS Test measures were assessed. Results: Eighty PwMS and 66 HC participated. CPS Test measures from remote tests had good test-retest reliability (ICC of 0.67-0.87) and correlated with symbol digit modalities test (highest |rho| = 0.80, p < 0.0001). Remote measures were stable (change from baseline < 5%) and correlated with MS disability (highest |rho| = 0.39, p = 0.0004) measured by Expanded Disability Status Scale. CPS Test measures displayed sensitivity to cognitive impairment (highest d = 1.47). Demographics and motor function had the lowest impact on CPS Test substitution time, a measure accounting for visuomotor function. Conclusion: Konectom CPS Test measures provide valid, reliable remote measurements of cognitive processing speed in PwMS.

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Key words

Digital cognitive assessment,smartphone,cognition,multiple sclerosis,digital health technology,Konectom

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Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

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