The emerging role of artificial intelligence in multiple sclerosis imaging

2020 ◽  
pp. 135245852096629
Author(s):  
H. M. Rehan Afzal ◽  
Suhuai Luo ◽  
Saadallah Ramadan ◽  
Jeannette Lechner-Scott
Keyword(s):  
Artificial Intelligence ◽  
Multiple Sclerosis ◽  
Future Research ◽  
Diagnosis And Prognosis ◽  
Current State ◽  
Manual Methods ◽  
Detection And Diagnosis ◽  
Magnetic Resonance Imaging Mri

Background: Computer-aided diagnosis can facilitate the early detection and diagnosis of multiple sclerosis (MS) thus enabling earlier interventions and a reduction in long-term MS-related disability. Recent advancements in the field of artificial intelligence (AI) have led to the improvements in the classification, quantification and identification of diagnostic patterns in medical images for a range of diseases, in particular, for MS. Importantly, data generated using AI techniques are analyzed automatically, which compares favourably with labour-intensive and time-consuming manual methods. Objective: The aim of this review is to assist MS researchers to understand current and future developments in the AI-based diagnosis and prognosis of MS. Methods: We will investigate a variety of AI approaches and various classifiers and compare the current state-of-the-art techniques in relation to lesion segmentation/detection and prognosis of disease. After briefly describing the magnetic resonance imaging (MRI) techniques commonly used, we will describe AI techniques used for the detection of lesions and MS prognosis. Results: We then evaluate the clinical maturity of these AI techniques in relation to MS. Conclusion: Finally, future research challenges are identified in a bid to encourage further improvements of the methods.

scholarly journals Personalized B-cell tailored dosing of ocrelizumab in patients with multiple sclerosis during the COVID-19 pandemic

2021 ◽  
pp. 135245852110288
Author(s):  
Zoë YGJ van Lierop ◽  
Alyssa A Toorop ◽  
Wouter JC van Ballegoij ◽  
Tom BG Olde Dubbelink ◽  
Eva MM Strijbis ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Disease Activity ◽  
B Cell ◽  
Cell Count ◽  
Future Research ◽  
Neurofilament Light ◽  
Light Levels ◽  
Disability Status ◽  
Magnetic Resonance Imaging Mri

In this observational study, 159 patients with multiple sclerosis received personalized dosing of ocrelizumab incentivized by the COVID-19 pandemic. Re-dosing was scheduled when CD19 B-cell count was ⩾10 cells/µL (starting 24 weeks after the previous dose, repeated 4-weekly). Median interval until re-dosing or last B-cell count was 34 [30–38] weeks. No clinical relapses were reported and a minority of patients showed Expanded Disability Status Scale (EDSS) progression. Monthly serum neurofilament light levels remained stable during extended intervals. Two (1.9%) of 107 patients with a follow-up magnetic resonance imaging (MRI) scan showed radiological disease activity. Personalized dosing of ocrelizumab could significantly extend intervals with low short-term disease activity incidence, encouraging future research on long-term safety and efficacy.

Mild gray matter atrophy in patients with long-standing multiple sclerosis and favorable clinical course

2021 ◽  
pp. 135245852110196
Author(s):  
Rosa Cortese ◽  
Marco Battaglini ◽  
Francesca Parodi ◽  
Maria Laura Stromillo ◽  
Emilio Portaccio ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Multiple Sclerosis ◽  
Gray Matter ◽  
Clinical Course ◽  
Resonance Imaging ◽  
Volume Changes ◽  
Magnetic Resonance Imaging Mri ◽  
Global Brain ◽  
Diffuse Brain

The mechanisms responsible for the favorable clinical course in multiple sclerosis (MS) remain unclear. In this longitudinal study, we assessed whether magnetic resonance imaging (MRI)-based changes in focal and diffuse brain damage are associated with a long-term favorable MS diseases course. We found that global brain and gray matter (GM) atrophy changes were milder in MS patients with long-standing disease (⩾30 years from onset) and favorable (no/minimal disability) clinical course than in sex-age-matched disable MS patients, independently of lesions accumulation. Data showed that different trajectories of volume changes, as reflected by mild GM atrophy, may characterize patients with long-term favorable evolution.

Combined visual and motor evoked potentials predict multiple sclerosis disability after 20 years

2014 ◽  
Vol 20 (10) ◽  
pp. 1348-1354 ◽  
Author(s):  
Regina Schlaeger ◽  
Christian Schindler ◽  
Leticia Grize ◽  
Sophie Dellas ◽  
Ernst W Radue ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Motor Evoked Potentials ◽  
Rank Correlation ◽  
Disease Modifying Therapy ◽  
Disability Status ◽  
Adaptive Processes ◽  
Multivariable Regression ◽  
Predictive Relationships ◽  
Magnetic Resonance Imaging Mri

Background: The development of predictors of multiple sclerosis (MS) disability is difficult due to the complex interplay of pathophysiological and adaptive processes. Objective: The purpose of this study was to investigate whether combined evoked potential (EP)-measures allow prediction of MS disability after 20 years. Methods: We examined 28 patients with clinically definite MS according to Poser’s criteria with Expanded Disability Status Scale (EDSS) scores, combined visual and motor EPs at entry (T0), 6 (T1), 12 (T2) and 24 (T3) months, and a cranial magnetic resonance imaging (MRI) scan at T0 and T2. EDSS testing was repeated at year 14 (T4) and year 20 (T5). Spearman rank correlation was used. We performed a multivariable regression analysis to examine predictive relationships of the sum of z-transformed EP latencies ( s-EPT0) and other baseline variables with EDSST5. Results: We found that s-EPT0 correlated with EDSST5 (rho=0.72, p<0.0001) and ΔEDSST5-T0 (rho=0.50, p=0.006). Backward selection resulted in the prediction model: E (EDSST5)=3.91–2.22×therapy+0.079×age+0.057× s-EPT0 (Model 1, R2=0.58) with therapy as binary variable (1=any disease-modifying therapy between T3 and T5, 0=no therapy). Neither EDSST0 nor T2-lesion or gadolinium (Gd)-enhancing lesion quantities at T0 improved prediction of EDSST5. The area under the receiver operating characteristic (ROC) curve was 0.89 for model 1. Conclusions: These results further support a role for combined EP-measures as predictors of long-term disability in MS.

The role of motivation in talent selection and ­development in competitive sport

2021 ◽  
Keyword(s):  
Measurement Instrument ◽  
Psychological Characteristics ◽  
Advantages And Disadvantages ◽  
Current State ◽  
Talent Selection ◽  
Comprehensive Picture ◽  
Performance Development ◽  
The Right

The early and long-term development of promising young athletes is a decisive factor in being internationally competitive in top-level sports. Among the multitude of talent criteria suggested in the literature, motivation plays a prominent role in the area of psychological characteristics. It is recognised in practice and research as a relevant criterion for performance development across all sports. This article provides an overview of the current state of talent research in the field of motivation. First, the most common theories of motivation in competitive sports are described, then different measurement methods and their advantages and disadvantages as well as the predictive value of motivation for athletic performance are discussed. Finally, implications for practice are suggested. It can be summarised that motivation in sport is conceptualised and operationalised in different ways and that the decision for the right measurement instrument depends on the goal of the assessment. To get a comprehensive picture of an athlete’s motivational status, it is useful to assess several aspects of motivation through different methods.

The Advancement of Neuroimaging Research Investigating Developmental Stuttering

2011 ◽  
Vol 21 (3) ◽  
pp. 88-95 ◽  
Author(s):  
Deryk S. Beal
Keyword(s):  
Speech Production ◽  
Fast Rate ◽  
Neural Correlates ◽  
Future Research ◽  
Current State ◽  
Developmental Stuttering ◽  
The Brain ◽  
State Of The Field

We are amassing information about the role of the brain in speech production and the potential neural limitations that coincide with developmental stuttering at a fast rate. As such, it is difficult for many clinician-scientists who are interested in the neural correlates of stuttering to stay informed of the current state of the field. In this paper, I aim to inspire clinician-scientists to tackle hypothesis-driven research that is grounded in neurobiological theory. To this end, I will review the neuroanatomical structures, and their functions, which are implicated in speech production and then describe the relevant differences identified in these structures in people who stutter relative to their fluently speaking peers. I will conclude the paper with suggestions on directions of future research to facilitate the evolution of the field of neuroimaging of stuttering.

scholarly journals Brain and Spinal Cord MRI in Multiple Sclerosis: an Update

2017 ◽  
Vol 01 (04) ◽  
pp. E294-E306 ◽  
Author(s):  
Mike Wattjes ◽  
Peter Raab
Keyword(s):  
Multiple Sclerosis ◽  
Quantitative Mri ◽  
Central Vein ◽  
Resonance Imaging ◽  
Ultra High Field ◽  
Important Differential Diagnosis ◽  
Magnetic Resonance Imaging Mri ◽  
Near Future ◽  
Brain And Spinal Cord

AbstractMagnetic resonance imaging (MRI) plays an important role in the diagnosis of multiple sclerosis and has been incorporated into the McDonald diagnostic criteria for MS. In particular, for the exclusion of important differential diagnosis and comorbidities, new MRI markers have been established such as the “central vein sign”. In addition to diagnostic purposes, the role of MRI in MS monitoring is becoming increasingly important, particularly for pharmacovigilance. This includes treatment efficacy monitoring, prediction of treatment response and safety monitoring. Quantitative MRI methods and ultra-high-field MRI offer the opportunity for the quantitative assessment of damage in normal-appearing brain tissue. However, the standardization of these techniques with the goal of implementation in clinical routine will be one of the major challenges in the near future.

scholarly journals The Long-term Effects of Instruction on EFL Learners' Use of Complaining Formulas

10.29007/5xsb ◽  
2018 ◽  
Author(s):  
Alicia Martínez-Flor ◽  
Esther Usó-Juan
Keyword(s):  
Foreign Language ◽  
Language Learners ◽  
Future Research ◽  
Long Term Effects ◽  
Positive Role ◽  
Efl Learners ◽  
Foreign Language Learners ◽  
Over Time

Studies analysing the positive role of pragmatic instruction in formal settings have increased over the last decades. Within this area of interventional pragmatics, some studies have particularly examined whether the effectiveness of the instruction implemented is sustained over time. In order to shed more light on the long-term effects of instruction, this research investigates English as a Foreign Language learners’ use of complaining formulas not only after immediately receiving instruction, but also two months later. Results show that learners keep using a variety of appropriate complaining formulas two months after having participated in the instructional period. These findings are discussed and directions for future research suggested.

scholarly journals The Role of Interferons in Driving Susceptibility to Asthma Following Bronchiolitis: Controversies and Research Gaps

2021 ◽  
Vol 12 ◽  
Author(s):  
Heidi Makrinioti ◽  
Andrew Bush ◽  
James Gern ◽  
Sebastian Lennox Johnston ◽  
Nikolaos Papadopoulos ◽  
...  
Keyword(s):  
Immune Responses ◽  
Acute Infection ◽  
Respiratory Viruses ◽  
Future Research ◽  
Innate Immune Responses ◽  
Asthmatic Children ◽  
Recurrent Wheeze ◽  
The Relationship

Bronchiolitis is the most common cause of hospitalization in infancy and is associated with a higher risk for the development of childhood asthma. However, not all children hospitalized with bronchiolitis will develop asthma. The mechanisms underlying asthma development following bronchiolitis hospitalization are complex. Immune responses to respiratory viruses may underlie both bronchiolitis severity and long-term sequela (such as asthma). Interferons (IFNs) are important components of innate immune responses to respiratory viruses and could influence both asthma development and asthma exacerbations. However, the nature of the relationship between interferon production and wheezing illnesses is controversial. For example, low peripheral blood IFN responses at birth have been linked with recurrent wheeze and asthma development. In contrast, there is evidence that severe illnesses (e.g., hospitalization for bronchiolitis) are associated with increased IFN responses during acute infection (bronchiolitis hospitalization) and a higher risk for subsequent asthma diagnosis. Furthermore, mechanistic studies suggest that bronchial epithelial cells from asthmatic children have impaired IFN responses to respiratory viruses, which may enable increased viral replication followed by exaggerated secondary IFN responses. This review aims to discuss controversies around the role of IFNs as drivers of susceptibility to asthma development following bronchiolitis hospitalization. Past evidence from both mechanistic and cohort studies are discussed. We will highlight knowledge gaps that can inform future research study design.

Does deal size moderate the effects of board faultlines? Evidence from acquisitions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Daniel Tidbury ◽  
Steven F. Cahan ◽  
Li Chen
Keyword(s):  
Fixed Effects ◽  
Quantitative Research ◽  
Future Research ◽  
Research Approach ◽  
Strategic Decisions ◽  
Negative Effects ◽  
Content Type ◽  
Instrumental Variable Analysis

Purpose Board faultlines, which reflect intrinsic divisions of board members into relatively homogeneous subgroups, are associated with poor firm performance. This paper aims to extend the existing board faultline research by examining how acquisition deal size moderates the negative implications of board faultlines. Design/methodology/approach This paper uses a sample of acquisitions and a quantitative research approach to conduct statistical analysis. Findings Using a sample of acquisitions announced between 2007 and 2016, this paper finds evidence suggesting that strong faultlines are associated with poorer acquisition outcomes in the long-term, but not in the short term. Further, this paper finds that the effect of faultline strength on long-term acquisition outcomes is weaker for larger acquisition deals than smaller acquisition deals. The findings are consistent with deal size moderating the relation between faultlines and acquisition outcomes. Research limitations/implications This paper addresses possible endogeneity through firm fixed effects and instrumental variable analysis. Although this paper provides evidence on the moderating role of deal size in the context of faultlines, future research could examine the role of additional moderators, such as pro-diversity, trust, board leadership and board and task characteristics. Practical implications The findings suggest that boards need to be aware of situations where the negative effects of faultlines are more likely to come to the fore. For example, faultlines are more likely to play a role in more routine, obscure monitoring than for high-profile strategic decisions. Originality/value The study is multidisciplinary as it draws on the management, organizational behaviour and psychology and finance literature. It contributes to the developing literature on faultlines in several important ways. First, this paper supports their view that faultlines have adverse effects on board performance by showing that faultlines negatively impact discrete strategic investment decisions. Second, this paper provides evidence that deals size moderates the faultline-acquisition performance relation, indicating that the role of faultlines is contextual. Third, this paper finds evidence that suggests investors do not factor in board faultlines when responding to acquisition announcements.

The Impact of Artificial Intelligence and Virtual Personal Assistants on Marketing

2018 ◽  
pp. 5748-5756 ◽  
Author(s):  
Christina L. McDowell Marinchak ◽  
Edward Forrest ◽  
Bogdan Hoanca
Keyword(s):  
Artificial Intelligence ◽  
Customer Satisfaction ◽  
Security Requirements ◽  
Marketing Effort ◽  
Ethical Implications ◽  
Personal Assistants ◽  
Customer Trust ◽  
The Impact

This entry will review the state of the art in AI, with a particular focus on applications in marketing. Based on the current capabilities of AI in marketing, the author's explore the new rules of engagement. Rather than simply targeting consumers, the marketing effort will also be directed at the algorithms controlling the consumers' virtual personal assistants (VPAs). Rather than exploiting human desires and weakness, marketing will need to focus on meeting the user's actual needs. The level of customer satisfaction will be even more critical as marketing will need to focus on establishing and maintaining a reputation in competition with those of similar offerings in the marketplace. This entry concludes with thoughts on the long-term implications, exploring the role of customer trust in the adoption of AI agents, the security requirements for agents and the ethical implications of access to such agents.

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