Name: Traditional Trail Making Test Modified into Brand-new Assessment Tools: Digital and Walking Trail Making Test (Video) | JoVE Journal
Uploaded: 2019-11-23T14:30:00.000+00:00
Duration: 8 min 7 s
Description: Learn the digital and Walking Trail Making Test protocols for comprehensive cognitive and motor assessment in clinical patients. These modified tools provide real-time data collection and benefit individuals with upper limb disabilities.

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5 minutes

The authors thank Xiaode Chen for digital technology support.

The development of the dTMT and initial application was approved by The Seventh Medical Center of PLA Army General Hospital Review Board. Subjects signed approved informed consent documents prior to testing TMT.
1. General Method Development
<ol>
	<li>Use a tablet (e.g., Microsoft Surface Pro 2) with high-quality inertial sensors embedded within the device and a compatible electronic pen (Figure 1).</li>
	<li>Use the Intelligent Device for Energy Expenditure and Activity (IDEEA) monitor, composed of five sensors (each 16 x 14 x 4 mm3, 2 g), with one attached over the sternum, two attached to the front side of each thigh, and the other two attached under each foot. Connect the sternum and thigh sensors via a solid cable to a small 32-bit microprocessor (70 x 44 x 18 mm3, 59 g), and wire the foot sensors (Figure 2).</li>
</ol>
2. Design and Testing of the dTMT
NOTE: As mentioned earlier, dTMT has two parts: dTMT-A and dTMT-B. These two tests should be performed sequentially (dTMT-A proceeding dTMT-B), without being reversed.
<ol>
	<li>dTMT-A procedure
	<ol>
		<li>Carry out the dTMT-A in a quiet and comfortable environment. 
		NOTE: Participants enrolled to complete dTMT should have the educational level of more than 2 years of preliminary school; otherwise, they might have difficulty in reading and recognizing Chinese characters in dTMT-B. Meanwhile, ensure that the participants have no obvious visual and upper limb disability.</li>
		<li>Ask the participants to sit in front of a desk, and adjust the computer position, background light, and the electronic pen.</li>
		<li>Check the near visual acuity of participants to ensure that they can easily read the numbers on the screen. 
		NOTE: Some aged subjects maybe need a pair of glass in case that the circles on the screen are too small for the subjects with presbyopia.</li>
		<li>Show the instructions of dTMT-A as follows: Please draw a line as rapidly as possible joining consecutive numbers (i.e., 1-&gt;2-&gt;3…9) in the circles randomly distributed on the screen. A pre-test trial (150 s maximum) is necessary because most participants need to familiarize how to draw on the surface of a computer.</li>
		<li>Demonstrate the major differences between dTMT-A and standard TMT-A. First, if the circle is correctly lined, its color can be changed. Second, if the circle is not correctly lined, its color remains unchanged, and the subjects need to re-line it from the last circle. 
		NOTE: Connecting all the circles fluently with straight lines is encouraged.</li>
		<li>Advise the participants to avoid errors and time wastage. Encourage the participants to draw the line fluently, but as accurately as possible; however, give no priority.</li>
		<li>Ask the participants to select PartA on the screen (Figure 1 lower panel) to complete dTMT-A without interruption. All the dTMT-A data are gathered on the computer automatically. 
		NOTE: If data are collected for investigating intermanual differences, one more test needs to be carried out with the other hand. The sequence of left-/right- hand test is at random.</li>
	</ol>
	</li>
	<li>dTMT-B procedure
	<ol>
		<li>Repeat step 2.1.</li>
		<li>Show the instructions of dTMT-B as follows: Please draw a line as rapidly as possible joining the numbers and Chinese characters (i.e., 1-&gt;<img alt="Static equilibrium diagram; ΣFx=0; symbol; balance in mechanical systems; concise educational concept." src="/files/ftp_upload/60456/img1.jpg" style="opacity: 0.9;" data-altupdatedat="1788282455000" data-alt="graphic 1">-&gt;2-&gt;<img alt="static equilibrium; ΣFx=0, MA=0; diagram; forces, torque, balance; mechanical analysis" src="/files/ftp_upload/60456/img2.jpg" style="opacity: 0.9;" data-altupdatedat="1788282455000" data-alt="graphic 1">…<img alt="Chemical equilibrium equation, K_eq, diagram, analytical chemistry, reaction balance, thermodynamics." src="/files/ftp_upload/60456/img3.jpg" style="opacity: 0.9;" data-altupdatedat="1788282455000" data-alt="graphic 1">) alternatively in the circles randomly distributed on the screen. 
		NOTE: Make sure all the Chinese characters are recognized by subjects. A pre-test trial (150 s maximum) is also necessary because some participants need to familiarize how to draw in the numbers and Chinese characters alternatively on their own.</li>
		<li>Ask the subjects to select PartB on the screen (Figure 1 lower panel) to complete dTMT-B without interruption. All the dTMT-B data are gathered in computer automatically. 
		NOTE: If data are collected for investigating intermanual differences, one more test needs to be carried out with the other hand. The sequence of left-/right- hand test is at random.</li>
	</ol>
	</li>
</ol>
3. Direct Data Collection and Definitions in dTMT
<ol>
	<li>Determine the total time to completion: the time taken (ms) to draw a line connecting all circles in the correct order.</li>
	<li>Determine the number of errors: the number of times a line is drawn to a circle in the incorrect order.</li>
	<li>Determine the time to completion for each step: the time taken in milliseconds to draw each step.</li>
	<li>Determine the time inside each circle: the time spent in milliseconds to draw inside circles.</li>
	<li>Determine the inside circle percentage (%): time inside each circle divided by total time to completion.</li>
	<li>Determine the time inside each tolerance circle: the time spent in milliseconds to draw inside tolerance circles.</li>
	<li>Determine the inside circle tolerance percentage (%): time inside each tolerance circle divided by total time to completion</li>
	<li>Determine the line canceling times in each step: the times a line is canceled in each step. The tolerance circle has a diameter five times more than that of a real circle.</li>
	<li>Determine the optimal pathway of each step: the nearest line in millimeters of each step.</li>
	<li>Determine the actual pathway of each step: the actual line in millimeters of each step.</li>
	<li>Determine the pathway deviation of each step: the actual line in millimeters minus the nearest line in millimeters of each step.</li>
	<li>Determine the variability of pathway deviation: Coefficient of the variation of the pathway deviation of each step.</li>
	<li>Determine the velocity of drawing of each step: the actual line in millimeters of each step divided by the time to completion for each step. 
	NOTE: The average value was calculated by summing up the values collected step by step. Indirect data reflecting different points between hands or parts were derived based on the direct data.</li>
</ol>
4. Design and Testing of the WTMT
NOTE: Similar to dTMT, WTMT also has two parts: WTMT-A and WTMT-B. These two tests should be performed sequentially (WTMT-A proceding WTMT-B), without being reversed.
<ol>
	<li>WTMT-A procedure
	<ol>
		<li>Carry out WTMT-A in a quiet and comfortable environment. Ensure that there is room light. Randomly distribute coins with numbers at each of 15 positions in a 16 m2 area (4 x 4 m2). Draw a 30 cm diameter around each coin (Figure 3). 
		NOTE: The participants enrolled to complete WTMT should have the educational level of more than 2 years of preliminary school; otherwise, they might have difficulty in reading and recognizing Chinese characters in WTMT-B. Meanwhile, ensure that the participants have no obvious visual and lower limb disability.</li>
		<li>Connect the Intelligent Device for Energy Expenditure and Activity (IDEEA) to the PC and enter the subject's anthropometric data.</li>
		<li>Attach five biaxial mini-accelerometers (16 x 14 x 4 mm3, 2 g) with medical tape over the sternum, to the front side of each thigh and under each foot (Figure 4). Connect all the accelerometers through thin, flexible cables to a microprocessor/storage unit (70 x 44 x 18 mm3, 59 g) attached with a clip to the clothes. 
		NOTE: The IDEEA is a multiple accelerometer-based system comprising five biaxial accelerometers located on the upper trunk, thighs and feet. The IDEEA was initially developed to estimate energy expenditure during activities of daily living22,23, but has an additional capability to quantify many of the commonly used gait cycle parameters24.</li>
		<li>After the device is equipped, ask participants to walk up and down a walkway without any targets at a comfortable walking speed to warmup.</li>
		<li>Show the instructions of WTMT-A as follows: Please walk on numbered targets in a sequential order as rapidly as possible joining consecutive numbers (i.e., 1-&gt;2-&gt;3…15) in the coins randomly distributed on the floor.</li>
		<li>Encourage the participants to walk fluently, but as accurately as possible; However, no priority is given. Perform WTMT-A only once.</li>
		<li>Ensure the safety of the participants, because dual-task walking in a challenging environment may increase the risk of falling25. For both pre- and post- tests, a 5 s step pause is needed for IDEEA to discriminate walking from standing. 
		NOTE: Either footstep on the coin is considered as on the target. If the participants walk in the wrong order, guide them until they walk in the right order. All the WTMT-A data are gathered in the IDEEA microprocessor/storage unit automatically.</li>
	</ol>
	</li>
	<li>WTMT-B procedure
	<ol>
		<li>Repeat the steps as in Section 4.1.1.</li>
		<li>Show the instructions of WTMT-A as follows: Please walk on numbered targets in a sequential order as rapidly as possible joining consecutive numbers (i.e., 1-&gt;<img alt="Spectroscopy symbol in optical absorption analysis chart." src="/files/ftp_upload/60456/img4.jpg" style="opacity: 0.9;" data-altupdatedat="1788282455000" data-alt="graphic 1">-&gt;2-&gt;<img alt="Static equilibrium diagram, ΣFx=0, MA=0 equations, mechanical balance illustration." src="/files/ftp_upload/60456/img5.jpg" style="opacity: 0.9;" data-altupdatedat="1788282455000" data-alt="graphic 1">…<img alt="Static equilibrium: ΣFx=0, ΣFy=0, balance diagram, forces and torques illustration, physics concept." src="/files/ftp_upload/60456/img6.jpg" style="opacity: 0.9;" data-altupdatedat="1788282455000" data-alt="graphic 1">&gt;8) in the coins randomly distributed on the floor. Make sure all the Chinese characters are recognized by the participants.</li>
		<li>Perform WTMT-B only once.</li>
		<li>Ensure the safety of the participants, because dual-task walking in a challenging environment may increase the risk of fallings25. For both pre- and post- tests, a 5 s step pause is needed for IDEEA to discriminate walking from standing. 
		NOTE: Either footstep on the coin is considered as on the target. If the subjects walked in the wrong order, guide them until they walk in the right order. All the WTMT-B data are gathered in the IDEEA microprocessor/storage unit automatically.</li>
	</ol>
	</li>
</ol>
5. Direct Data Collection and Meaning Explanation in WTMT
NOTE: As shown in Figure 5, the human gait cycle has been divided into different subphases. In detail, spatial and temporal parameters are defined and calculated as follows.
<ol>
	<li>Determine the steps (n): the number of steps completed during level walking, including the right and left limbs.</li>
	<li>Determine the swing duration (%): the phase percentage starting from toe-off until initial ground or stair contact for any given foot.</li>
	<li>Determine the stance duration (%): phase percentage between the heel strike of one foot and the heel strike of the contra-lateral foot.</li>
	<li>Determine the speed (m/s): the average velocity over two consecutive strides.</li>
	<li>Determine the step length (m): the difference in length between the initial heel strike of the right or left foot and the heel strike of the contralateral foot.</li>
	<li>Determine the stride length (m): the distance between the successive points of the initial contact of the same foot, right-left-right (R-L-R) or left-right- left (L-R-L).</li>
	<li>Determine the gait variability of step length: coefficient of the variation of step length. 
	NOTE: Completion time and errors are also collected and counted by the examiner, instead of IDEEA.</li>
</ol>
6. Data Collection and Statistics
<ol>
	<li>Use one-way-ANOVA and Fisher’s LSD to compare the differences between the groups. The demographic data are listed in Table 1. dTMT-A, dTMT-B, WTMT-A, and WTMT-B data are shown in Tables 2-5 respectively. A P &lt; 0.05 was considered to indicate a statistically significant difference.</li>
</ol>

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<li>Fellows, R. P., ahmen, J., Cook, D., Schmitter-Edgecombe, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Multicomponent+analysis+of+a+digital+Trail+Making+Test%5BTitle%5D)+AND+%22Clinical+Neuropsychologist%22%5BJournal%5D)">Multicomponent analysis of a digital Trail Making Test.</a> Clinical Neuropsychologist. 31 (1), 154-167 (2017).</li>
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The authors have nothing to disclose.

Traditional paper-pencil TMT has been well used worldwide for more than 50 years. However, digital TMT is advantageous. First, traditional TMT is considered as an executive function tool, while both dTMT and WTMT have aspects reflecting motor ability besides cognitive function. Considering that the cognitive-motor dual task has gained great attention in recent years26, digital technologies can provide researchers with more information on this integrated task compared with the traditional TMT<sup c...

With a rapidly aging population, dementia is considered to be a major public health concern. The number of elderly patients with dementia worldwide is about 47 million according to the World Health Organization1. Executive function impairment is not only a common type of cognitive dysfunction in aged individuals, but has been reported as a predictor of progression from mild cognitive impairment (MCI) to clinical Alzheimer&#8217;s disease (AD)2,3. As the third most widely used test in neuropsychology4, the Trail Making Test (TMT) is employed as a well-accepted tool to evaluate executive functions, especially sustained attention and set-shifting5, even in elderly patients6.
The standard TMT is a paper-pencil test consisting of two parts: tMT-A and TMT-B5. The former calls for the test-taker to draw lines connecting randomly distributed numbers (1&#8211;25) on a test paper in ascending order (1-&#62;2-&#62;3&#8230;), whereas the latter requires the test-taker to set numbers and letters (1-&#62;A-&#62;2-&#62;B&#8230;) alternatively. The performance of TMT is generally scored in the time taken to complete each part correctly7. TMT has been translated into different languages. The Chinese version of TMT was developed in 20068. Since Chinese characters are quite distinct from English letters, the Chinese version of TMT was used in our procedure.
Apart from the standard version, TMT has been modified in different ways by researchers (e.g., oral TMT9, driving TMT10, walking TMT (WTMT)11) to assess specific populations or find details under different conditions, such as driving and walking. Of note, some studies conferring different numbers compared with the standard TMT are also reported to be of high validity and reliability. For example, THINC-Integrated Tool (THINC-it) developed by the McIntyre group used 9 numbers and letters for TMT-B12; WTMT reported by Schott and colleagues used 15 numbers for TMT-A13. In the same way, many evaluating systems of TMT have been built beyond the complete time scoring, which are reported to be helpful in finding more items besides executive dysfunction, or to be accessible for participants who are not suitable to complete the standard TMT. For example, some researchers investigated the errors in TMT and found that errors in TMT-B were associated with mental tracking and working memory in patients with psychiatric disorder14. Another group from Greece suggested derived TMT scores [TMT-(B&#8722;A) or TMT(B/A)] as indices to detect impairment in cognitive flexibility across the adult life span15. Generally, alternative evaluating systems of TMT can be summarized as follows: (1) completion time analysis&#8212;TMT completion time is calculated in seconds16; (2) error analysis&#8212;different types of TMT errors are classified and quantified14; (3) intermanual differences&#8212;different abilities of completing TMT between the dominant hand and the nondominant hand are compared17; and (4) derived Trail Making Test indices&#8212;different characterizations between completing TMT-A and TMT-B are analyzed15. The alternative scoring methods provide additional information. For example, the utility of TMT error analysis could reveal cognitive deficits not traditionally captured using completion time as the sole outcome variable in patients with schizophrenia and depression14. The lack of any significant intermanual difference helped to discriminate the cognitive dysfunction from the influence of the motor disorder17. Derived TMT indices could detect impairment in cognitive flexibility across the adult life span and minimize the effect of demographics and other cognitive background variables15.
With advances in modern technology, computer-based digital applications have been increasingly integrated into traditional cognitive interventions, most of which are designed as similar to the original test as possible, rather than created as new tools. Digital or computerized TMT (dTMT) has been proven to have the potential to capture additional information, with the structure of the existing test mainly unchanged in recent years18,19.
This study aimed to introduce a computer-based Chinese version of dTMT-A and dTMT-B, as well as a WTMT. Both are modified TMTs and have been confirmed to have high sensitivity and specificity to screen patients with MCI, Parkinson&#8217;s Disease, Alzheimer&#8217;s Disease, and so forth, based on the movement of upper and lower limbs20,21. Detailed scoring methods were also presented because digital technologies incorporated into dTMT and WTMT might help capture more information compared to the paper-pencil version of TMT.

<table><tbody><tr><td>Minisun</td><td>LLC</td><td></td><td>Intelligent Device for Energy Expenditure and Activity (IDEEA)</td></tr><tr><td>Surface Pro 2</td><td>Microsoft</td><td></td><td>computer</td></tr></tbody></table>

traditional trail making test modified into brand-new assessment tools: digital and walking trail making test

Traditional Trail Making Test Modified into Brand-new Assessment Tools: Digital and Walking Trail Making Test

The Trail Making Test (TMT) is a well-accepted tool for evaluating executive function. The standard TMT was invented more than 60 years ago and has been modified into many versions. With the development of digital technologies, TMT is now modified to a digitized version. The present study demonstrated digital TMT (dTMT) performed on a computer, and Walking TMT (WTMT) on the floor. Both revealed more information compared with the traditional version of TMT.

Seven aged patients with Mild Cognitive Impairment (Elderly with MCI), seven aged subjects with Parkinson’s Disease (Elderly with PD), and seven aged healthy individuals (Healthy Elderly) were recruited, and dTMT-A, dTMT-B, WTMT-A, and WTMT-B, were performed. After the tests, data were collected and analyzed using SPSS software.
As a whole, the demographical data of participants showed that all groups were matched well in terms of age, gender, educational level, dominant hand, Clinical Dementi...

Here, we present a protocol to show how to perform two types of cognitive assessment tools derived from the paper-pencil version of the Trail Making Test.

The Trail Making Test (TMT) is a well-accepted tool for evaluating executive function. The standard TMT was invented more than 60 years ago and has been ...

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The ladder rung walking task is a new test to assess skilled walking and measure both forelimb and hindlimb placing, stepping, and inter-limb co-ordination.

The Ladder Rung Walking Task: A Scoring System and its Practical Application.

Precise measurement of neurological and neuropsychological impairment and disability in multiple sclerosis is challenging. We report methodologic details on a new test, the Multiple Sclerosis Performance Test (MSPT). This new approach to the objective of quantification of MS related disability provides a computer-based platform for precise, valid measurement of MS severity.

The Multiple Sclerosis Performance Test (MSPT): An iPad-Based Disability Assessment Tool

To investigate the co-morbid Alzheimer's disease (AD) and stroke condition in a novel model, three behavior tasks are described that assess both motor control and cognitive behaviors. These tasks include the beam-walk task, cylinder task and Morris water maze.

Motor and Hippocampal Dependent Spatial Learning and Reference Memory Assessment in a Transgenic Rat Model of Alzheimer's Disease with Stroke

This article describes the 4 Mountains Test (4MT), a hippocampus-dependent test of working allocentric spatial memory. The hippocampus is affected early in Alzheimer's disease (AD) and this article outlines the 4MT methodology and results of patient testing, which demonstrates the value of the 4MT in the diagnosis of pre-dementia AD.

The 4 Mountains Test: A Short Test of Spatial Memory with High Sensitivity for the Diagnosis of Pre-dementia Alzheimer's Disease

Here we present a protocol for a mouse-specific test of cognition that does not require swimming. This test can be used to successfully distinguish controlled cortical impact-induced traumatic brain injury mice from sham controls.

Assessing Spatial Memory Impairment in a Mouse Model of Traumatic Brain Injury Using a Radial Water Tread Maze

This protocol offers a digitization of portions of traditional clinical tasks commonly used to measure cognition and motor control in Parkinson’s disease. Clinical tasks are digitized while biophysical rhythms are co-registered from different functional levels of the nervous systems, ranging from voluntary, spontaneous, automatic to autonomic.

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

We developed the original Dual Task Screen (DTS) as a portable, low-cost measure that can evaluate athletes with sports-induced mild traumatic brain injury. We revised the original DTS for future clinical use and developed a neuroimaging-compatible version of the DTS to measure neural underpinnings of single and dual task performance.

Revised and Neuroimaging-Compatible Versions of the Dual Task Screen

This paper presents a protocol specifically for dual motor task gait analysis in stroke patients with motor control deficits.

Motor Dual-Tasks for Gait Analysis and Evaluation in Post-Stroke Patients

An experimental pipeline to quantitatively describe the locomotor pattern of freely walking mice using the MouseWalker (MW) toolbox is provided, ranging from initial video recordings and tracking to post-quantification analysis. A spinal cord contusion injury model in mice is employed to demonstrate the usefulness of the MW system.

Using the MouseWalker to Quantify Locomotor Dysfunction in a Mouse Model of Spinal Cord Injury

This article describes procedures for screening people for standing and walking balance impairments using two normed, rapid, low-tech balance tests.

Screening People on Standing Balance with Romberg Testing and Walking Balance with Tandem Walking

A protocol for simultaneous recording of visuomotor behavior and brain activity during standard paper-based cognitive tests using an MRI-compatible tablet and eye-tracking technology alongside functional MRI, towards improving the usage of such tests. Preliminary results are presented from a young healthy adult performing a Trail-Making test.

Evaluating Tests of Cognition using a Computerized Touch-Sensitive Tablet, Eye Tracking, and Functional Magnetic Resonance Imaging

Learn the digital and Walking Trail Making Test protocols for comprehensive cognitive and motor assessment in clinical patients. These modified tools provide real-time data collection and benefit individuals with upper limb disabilities.

Traditional Trail Making Test Modified into Brand-new Assessment Tools: Digital and Walking Trail Making Test

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