Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Self-Evaluation: Self-Enhancement and Self-Verification03:00

Self-Evaluation: Self-Enhancement and Self-Verification

5.8K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
5.8K
Nursing Evaluation01:15

Nursing Evaluation

4.2K
The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
4.2K
Self-Evaluation Maintenance Model01:29

Self-Evaluation Maintenance Model

295
The Self-Evaluation Maintenance (SEM) model offers a psychological framework to understand how individuals’ self-esteem is influenced by the achievements of others, particularly those with whom they share close personal bonds. The SEM model operates when personal rather than social identity guides individuals. Central to this model is the notion that individuals have an inherent desire to preserve a favorable self-image, which is continuously shaped by interpersonal comparisons and...
295
Dysrhythmias V: Evaluating Dysrhythmias01:30

Dysrhythmias V: Evaluating Dysrhythmias

341
Dysrhythmias, also known as arrhythmias, are disturbances in the heart's rhythm that range from benign to life-threatening. A thorough evaluation is crucial for appropriate management and involves a comprehensive medical history, physical examination, and various diagnostic tests.Medical HistorySymptoms: Collect detailed information on palpitations, dizziness, syncope, chest pain, and fatigue. Note their onset, frequency, and triggers.Previous Cardiac Issues: Document any history of heart...
341
Social Foundations of Self III: Self-Evaluation01:30

Social Foundations of Self III: Self-Evaluation

188
Self-evaluation is the process by which individuals assess their abilities, behaviors, and characteristics based on feedback from others. Charles H. Cooley observed that a person’s self-perception is primarily influenced by how others see and judge them. He suggested that individuals form their identities based on their interpretations of others' reactions. As a result, social interactions play a crucial role in shaping self-esteem and personal identity. These external evaluations often...
188
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

403
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
403

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Retrograde Maculopathy or Microcystic Macular Degeneration in Patients With Optic Neuritis due to Neuromyelitis Optica.

Case reports in ophthalmological medicine·2026
Same author

Men's health research priorities in men with multiple sclerosis.

Multiple sclerosis journal - experimental, translational and clinical·2026
Same author

Use of semaglutide and tirzepatide among people with multiple sclerosis.

Multiple sclerosis (Houndmills, Basingstoke, England)·2026
Same author

Looking Beyond Dose: Identifying Responders and Non-Responders to RehaCom Computerized Cognitive Rehabilitation in Progressive MS-The CogEx Study.

Neurorehabilitation and neural repair·2026
Same author

Dynamics of Spinal Fluid Immune Cell Alterations Following Cladribine Tablet Treatment in Multiple Sclerosis.

Neurology(R) neuroimmunology & neuroinflammation·2026
Same author

Between a Chiasm and a Hard Place.

Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society·2026

Related Experiment Video

Updated: Jan 25, 2026

Dynamic Visual Tests to Identify and Quantify Visual Damage and Repair Following Demyelination in Optic Neuritis Patients
12:23

Dynamic Visual Tests to Identify and Quantify Visual Damage and Repair Following Demyelination in Optic Neuritis Patients

Published on: April 14, 2014

14.5K

Evaluating the Utility of a Postprocessing Algorithm for MRI Evaluation of Optic Neuritis.

L Stunkel1, A Sharma2, M S Parsons2

  • 1From the Department of Neurology (L.S.).

AJNR. American Journal of Neuroradiology
|May 4, 2019
PubMed
Summary

A new postprocessing algorithm significantly enhances the contrast-to-noise ratio for abnormal optic nerves in MR imaging. This improves the detection of optic neuritis by radiologists, aiding in diagnosis.

More Related Videos

A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis
10:26

A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis

Published on: June 2, 2015

17.9K
In Vivo Evaluation of Fracture Callus Development During Bone Healing in Mice Using an MRI-compatible Osteosynthesis Device for the Mouse Femur
07:33

In Vivo Evaluation of Fracture Callus Development During Bone Healing in Mice Using an MRI-compatible Osteosynthesis Device for the Mouse Femur

Published on: November 14, 2017

10.0K

Related Experiment Videos

Last Updated: Jan 25, 2026

Dynamic Visual Tests to Identify and Quantify Visual Damage and Repair Following Demyelination in Optic Neuritis Patients
12:23

Dynamic Visual Tests to Identify and Quantify Visual Damage and Repair Following Demyelination in Optic Neuritis Patients

Published on: April 14, 2014

14.5K
A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis
10:26

A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis

Published on: June 2, 2015

17.9K
In Vivo Evaluation of Fracture Callus Development During Bone Healing in Mice Using an MRI-compatible Osteosynthesis Device for the Mouse Femur
07:33

In Vivo Evaluation of Fracture Callus Development During Bone Healing in Mice Using an MRI-compatible Osteosynthesis Device for the Mouse Femur

Published on: November 14, 2017

10.0K

Area of Science:

  • Radiology
  • Medical Imaging
  • Neurology

Background:

  • Magnetic Resonance (MR) imaging is crucial for diagnosing optic neuritis.
  • Enhancing image quality can improve diagnostic accuracy.

Purpose of the Study:

  • To evaluate a postprocessing algorithm's ability to increase contrast-to-noise ratio (CNR) in optic neuritis detection.
  • To determine if the algorithm facilitates diagnosis on MR imaging.

Main Methods:

  • Retrospective case-control study of 44 patients (31 with optic neuritis, 28 control eyes).
  • Coronal FLAIR and contrast-enhanced T1WI images processed using a proprietary algorithm.
  • Quantitative analysis of CNR and qualitative assessment of diagnostic performance by 6 radiologists.

Main Results:

  • Processing significantly increased median CNR in abnormal nerves (FLAIR: 17.8 to 85.0; contrast-enhanced: 19.4 to 93.7).
  • CNR in control nerves remained unaffected (P = 0.13).
  • Radiologists' diagnostic performance improved, with enhanced sensitivity for 5/6 readers and improved interobserver agreement.

Conclusions:

  • The algorithm selectively enhances CNR in diseased optic nerves.
  • This processing improves MR imaging detection of optic neuritis, aiding radiologists in diagnosis.