D2 Test
D2 Test - Related Videos
07:00
Eye-Tracking Control to Assess Cognitive Functions in Patients with Amyotrophic Lateral Sclerosis
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Cited by 8 •
2016
Cognitive deficits are common in about one third of patients with amyotrophic lateral sclerosis, a neurological condition leading to progressive impairments in speech and movement abilities. To conduct cognitive tests in patients unable to speak or write a reliable and easy to administer eye-tracking paradigm was developed.
12:48
Construction of Cell-based Neurotransmitter Fluorescent Engineered Reporters (CNiFERs) for Optical Detection of Neurotransmitters In Vivo
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Cited by 17 •
2016
We present a protocol to create cell-based neurotransmitter fluorescent engineered reporters (CNiFERs) for the optical detection of volumetric neurotransmitter release.
10:41
A Hypoxia-Reoxygenation Injury Model in Self-Assembling Human Cardioids
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2026
Self-assembling human cardiac organoids (hCOs) are an emerging system for modeling human cardiac development and disease. Here, a methodology for generating and injuring hCOs with hypoxia-reoxygenation and details of expected histological and functional outcomes after injury are provided.
07:28
Methods for the Extraction of Endosymbionts from the Whitefly Bemisia tabaci
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Cited by 4 •
2017
Here, we present a protocol to isolate endosymbionts from the whitefly Bemisia tabaci through dissection and filtration. After amplification, the DNA samples are suitable for subsequent sequencing and study of the mutualism between endosymbionts and whitefly.
07:58
Quantifying Fibrillar Collagen Organization with Curvelet Transform-Based Tools
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Cited by 10 •
2020
Here, we present a protocol to use a curvelet transform-based, open-source MATLAB software tool for quantifying fibrillar collagen organization in the extracellular matrix of both normal and diseased tissues. This tool can be applied to images with collagen fibers or other types of line-like structures.
FAQs
Omission errors occur when a participant fails to mark a target, whereas commission errors occur when a distractor is marked. These error types provide different information about performance: omissions may reflect difficulties maintaining accurate target detection, while commissions indicate problems suppressing irrelevant items. Examining both helps characterize attentional control more precisely than considering speed or total markings alone.
Time pressure makes participants balance rapid visual scanning with accurate discrimination between similar letters and symbols. This condition reveals how efficiently they maintain task rules while processing many competing visual details. The resulting performance can help distinguish differences in attentional control and visual processing efficiency that might be less apparent during an untimed task.
Distractors require participants to apply the target rules rather than mark items based only on superficial similarity. Because the rows contain closely related visual information, successful performance depends on selecting relevant items and rejecting non-targets. Variation in responses to distractors contributes to the interpretation of selective attention, particularly when commission errors occur under the test’s timed conditions.
Performance can be considered through two complementary dimensions: whether participants correctly discriminate targets from distractors and how efficiently they complete the scanning task within the allotted time. High accuracy with slower work and rapid performance with more errors may represent different attentional profiles. Considering these dimensions together gives a fuller picture of concentration and visual processing under pressure.
Administration follows a standardized paper-and-pencil format in which participants scan rows containing similar letters and symbols. They apply the specified target rules, mark qualifying items, and avoid distractors while working under timed conditions. The resulting markings can then be examined for accurate target responses, missed targets, and incorrect responses to non-target items.
Researchers can examine performance patterns involving attentional control, concentration, visual processing speed, and errors of omission or commission. These outcomes support comparisons across individuals or experimental conditions. For example, a study may evaluate whether attention-related performance changes between conditions by comparing how accurately and efficiently participants discriminate targets during the standardized task.
The test is useful when a study needs a standardized measure of selective attention, concentration, or visual discrimination under time pressure. Its fixed format supports comparisons across participants and conditions, making it relevant to research on cognitive performance and attention-related changes. Interpretation should consider both efficient responding and the specific pattern of errors produced during scanning.