All methods described here have been approved by the Internal Review Board for human subject research at the University of Kansas, Lawrence, KS.
1. Selecting Participants
<ol>
	<li>Use right-handed participants for DVF research. In rare cases (10%), left-handed individuals are lateralized for language processing in the right hemisphere, which would result in scalp-recorded ERP components with non-typical topographical distributions.</li>
	<li>Have participants complete the Edinburgh Handedness Inventory9 to determine strong right-handedness. Scores of eight or higher indicate strong right-handedness.</li>
</ol>
2. Stimuli
<ol>
	<li>Request a research copy of the International Affective Picture System (IAPS)10 via the Center for the Study of Emotion and Attention&#39;s website11. Select stimuli from the IAPS according to the specifications in steps 2.2-2.4. The IAPS comes with an image file for each stimulus and a tab-delimited text file containing the normed ratings of valence and arousal for each image.
	<ol>
		<li>Use a spreadsheet program to view the norms and make the stimuli selections. For a complete list of the stimuli selected for O&#39;Hare, Atchley, and Young (2016) see Table 1. 
		NOTE: This stimulus set provides norms for the rated valence and arousal of emotional stimuli. The norms for the stimuli were created via participant ratings on the Self-Assessment Mannequin10. This scale depicts a graphic figure that ranges from a frowning, unhappy figure to a smiling, happy figure for valence, and a relaxed, sleepy figure to an excited, wide-eyed figure for arousal. Valence is rated on a 9-point Likert scale with 1 equaling the most unpleasant (frowning, unhappy figure) and 9 equaling the most pleasant (smiling, happy figure). Arousal is also rated on a 9-point Likert scale with 1 equaling the least arousing (relaxed, sleepy figure) and 9 equaling the most arousing (excited, wide-eyed figure). The components of each image that evoke emotional responses are located centrally in each image.</li>
	</ol>
	</li>
	<li>Create three valence groups of images with 60 images in each group: unpleasant, pleasant and neutral, using the norms provided in the IAPS manual12.
	<ol>
		<li>To do this, sort the IAPS images by their average valence rating. Unpleasant stimuli range in average valence rating from 1 to 3.99. Neutral stimuli range in average valence rating from 4 to 6.99. Pleasant stimuli range in average valence rating from 7 to 9. Each valence group must significantly differ from each other in average valence rating with no overlap in their ranges.</li>
		<li>Confirm that valence groups significantly differ from each other using independent samples t-tests13. Picture complexity across the image groups is not controlled as image complexity has not been found to influence the LPP14.</li>
	</ol>
	</li>
	<li>Within both the unpleasant and pleasant valence stimuli, create high and medium arousal subgroups of 30 images each.</li>
	<li>Within the neutral valence stimuli, create medium and low arousal subgroups. High arousal subgroups range in average arousal ratings from 4.30 to 8.70 and do not significantly differ from each other on average arousal rating. Medium arousal subgroups range in average arousal ratings from 2.40 to 7.29 and do not significantly differ from each other on average arousal rating. The low arousal subgroup ranges in average arousal ratings from 1.4-5.44.</li>
	<li>Once the stimuli have been selected, test them (via t-tests)13 to ensure the stimuli groups are reliably different. 
	NOTE: Each of the arousal subgroups (high, medium, and low) must significantly differ from each other in average arousal rating, but arousal subgroups within a valence group do not significantly differ from each other in valence. This allows for examination of 1) valence effects alone, 2) arousal effects alone, and 3) interactive effects between valence and arousal.</li>
	<li>Using an image-editing software program, resize the final stimulus images to ensure that they will be presented at 17.06 horizontal and 10.85 vertical degrees of visual angle on the stimulus-presentation monitor.
	<ol>
		<li>Calculate the visual angle (V) using the formula, V = 2arctan(S/2D)15, where S = the height or width of a visual object, and D = the distance from the viewer&#39;s pupil to the visual object. The size of the stimulus images will depend upon the distance between the participant&#39;s pupils and the stimulus-presentation monitor (D).</li>
	</ol>
	</li>
	<li>Create mask stimuli for backward masking of the image stimuli. Mask stimuli consist of an array of backward slashes (i.e., &#34;\&#34;) that match the spatial dimensions of the images. Create a textbox that has the same dimensions in pixels as the image stimuli in an image-editing software program. Enter backward slashes into the textbox until they fill the entire space without changing the dimensions specified. Save this textbox as an image to create the mask stimulus.</li>
	<li>For the DVF paradigm, create the image-presentation slides to be loaded into the stimulus presentation software.
	<ol>
		<li>In an image-editing software program, center a fixation mark (&#34;+&#34;) in the middle of the image. Place your first stimulus image centered vertically with its right edge 3&#176; of visual angle to the left of the fixation mark.</li>
		<li>Create a brown rectangle with the same dimensions as the stimulus image and place it also centered vertically with its left edge 3-degrees of visual angle to the right of the fixation mark. Save this arrangement as the left visual field presentation of this stimulus image.</li>
		<li>Switch the location of the stimulus image and the brown rectangle and save this arrangement as the right visual field presentation of this stimulus image. Do this for all stimulus images (Figure 1).</li>
	</ol>
	</li>
	<li>For the DVF paradigm, create the mask-presentation slides to be loaded into the stimulus presentation software in the same manner as was done for the image-presentation slides. Place the mask image on both sides of the fixation mark with both inner edges 3-degrees of visual angle from the fixation mark (Figure 2). Save this arrangement as the mask stimulus for the DVF paradigm.</li>
</ol>
3. Experimental Equipment
<ol>
	<li>Use Silver-Silver chloride (Ag-AgCl) active-electrodes or other EEG electrodes to record EEG from scalp positions according to the international 10-20 system16. Position one additional electrode above and another below the right eye to record vertical eye movements.</li>
	<li>Use EEG acquisition software for data acquisition with a sampling rate of 250-500 Hz, depending upon equipment specifications. For a detailed consideration of EEG acquisition parameters see Luck (2014)17.</li>
	<li>Present stimuli via an stimulus-presentation software package18 on a computer with a mirrored 24-inch stimulus-presentation liquid crystal display monitor (1,920 x 1,200 resolution) that is in a separate, electrically-shielded, and sound attenuated room. Place only the mirrored monitor within the shielded room, while keeping the computer out of the experimental room reduces electrical noise. Sound attenuation reduces the occurrence of auditory-evoked potentials in the EEG data. The stimulus-presentation software package must allow for users to set the presentation durations and screen locations of stimuli.</li>
</ol>
4. Preparing the Participant
<ol>
	<li>Have participants complete informed, written consent prior to providing any data.</li>
	<li>Have participants complete a demographic survey to provide sex, age, handedness, native language, vision, and neurological history. Collect sex and age for reporting in final study dissemination. Use all other demographic information to determine if the participant meets the criteria for inclusion in the study: right-handed (assessed via the Edinburgh Handedness Inventory), native English speaker collected via self-report (or native to the language used in the study instructions), normal or correct-to-normal vision, and no history of neurological trauma.</li>
	<li>Apply EEG electrodes onto the participant. Any EEG montage that covers occipital-parietal regions of the scalp is appropriate for recording the LPP response.</li>
	<li>Seat participants in a dark, electrically-shielded, sound-attenuated room. Use a chin rest to stabilize the head and minimize movement. Position the chin rest the correct distance away from the stimulus-presentation monitor to maintain the D variable used in the visual angle calculations. Place a keyboard (or response box) in front of the participant for response collection via their right hand.</li>
	<li>Check the data signal to ensure that all channel impedances are less than 50 kiloohms17.</li>
	<li>Instruct participants to passively view the image stimuli without shifting their eyes away from the center of the screen. Display a fixation mark (&#34;+&#34;) at the center of the screen to help participants fixate17. Instruct the participant that there will be a recognition quiz following each block of images, so it is important that they pay attention. Each participant only completes the CVF or the DVF paradigm, creating a between-subjects design. 
	NOTE: Both CVF and DVF paradigms can be conducted on the same participant to create a within-subjects design. If this is done, counterbalance the order of the two paradigms to control for any familiarity effects with the stimuli.</li>
</ol>
5. Central Visual Field (CVF) Paradigm
NOTE: In the CVF paradigm, randomly present image stimuli at the center of the screen. Each trial consists of a 500 ms central fixation (&#34;+&#34;) followed by a 150 ms presentation of the stimulus, followed by a backward mask that varies randomly in presentation duration between 2,000-4,000 ms. Jittered presentation duration for the mask serves to reduce any anticipatory ERP responses to the onset of the next trial20.
<ol>
	<li>To specify the presentation durations and stimuli locations create separate presentation slides for the fixation, the stimulus images, and the mask stimulus in your stimulus-presentation software.
	<ol>
		<li>For the presentation of the fixation mark, specify the presentation of the plus sign symbol (&#34;+&#34;) centered both vertically and horizontally and set the duration to 500 ms. This can be done through the properties for this slide.</li>
		<li>For the presentation of the stimulus, enter the image file names for the stimuli into a matrix or list object.</li>
		<li>On the image-presentation slide, place an image object centered both vertically and horizontally, and link this object to the list of image file names to load the image stimuli. Set the matrix or list object with the image file names to randomly select from the list without replacement of already selected stimuli. Set the duration of the image-presentation slide to 150 ms.</li>
		<li>For the mask-presentation slide, again place an image object centered both vertically and horizontally. This object can be directly linked to the mask image file by entering the file name in its properties. Set the duration of the mask-presentation slide to randomly vary between 2,000-4,000 ms.</li>
	</ol>
	</li>
	<li>Present image stimuli in four experimental blocks of 45 trials each (180 trials total). Each block has an equal number of stimuli from the valence/arousal conditions. This can be accomplished by creating four separate matrices or list objects with the image file names, each containing 7-8 images from each valence-arousal group (e.g., in list 1 there can be 7 high-arousing unpleasant images and in list 2 there can be 8 high-arousing unpleasant images). Participants passively view the image stimuli on each trial.</li>
	<li>Following each block, give a 10-item recognition test to ensure participants pay attention during the passive viewing portion of the study. Display six items on the recognition test from the preceding block and four items that are new. Select these six items so that they represented all categories of valence and arousal. Have participants respond via key press using their right hand indicating which stimuli they previously viewed.</li>
</ol>
6. Divided Visual Field (DVF) Paradigm
NOTE: The DVF paradigm is identical to the CVF paradigm, including the size of the image stimuli, except present each image stimulus laterally, to the left or right of the fixation mark using the image-presentation slides created in step 2.7 (see Figure 3)4.
<ol>
	<li>Present each image once in the left visual field and once in the right visual field. Present all stimuli in a fully randomized order.</li>
	<li>As each stimulus is presented twice, double the number (8) of experimental blocks and recognition tests for a total of 360 trials.</li>
	<li>Pair each image stimulus with the simultaneous presentation of a solid brown rectangle identical in stimulus dimensions on the opposite side of the fixation. This is done to reduce reflexive saccades to the stimulus. Additionally, the presentation duration of 150 ms is shorter than most saccade latencies21, meaning that if the participant shifts his/her eyes to the stimulus, it will be masked before the participant can fixate on it22.</li>
	<li>Present each stimulus and its paired brown rectangle with their inside edge 3&#176; of visual angle from the fixation. This is done to assure that the stimuli fall entirely within the regions of the retinas that are processed by only one hemisphere4.</li>
	<li>Backward mask both the stimulus and the brown rectangle using the same criteria and procedure as was done in the CVF paradigm20.</li>
</ol>
7. Data Analysis
<ol>
	<li>Remove any participant scoring less than 50 percent (chance) on the recognition test from the data, as it cannot be assured that he/she was paying attention to the stimuli.</li>
	<li>Preprocess and analyze EEG data using an EEG software package23. Filter data offline with a continuous 0.01-30 Hz bandpass, mark data fluctuating 200 &#956;v within a 100 ms time window as bad, correct eye blink artifacts using an average template generated from each individual participant, manually remove horizontal eye shifts from the data following visual inspection, and rereference data using the common average rereference24,25.</li>
	<li>Compute epochs of 1,000 ms after the onset of the stimuli according to a 200 ms pre-stimulus baseline26.</li>
	<li>Use visual inspection of the waveforms and the ERP literature to determine the topography of the LPP27. In this study, the LPP centered on channel CPz. In this case, average channels CPz, Pz, Cz, CP1 and CP2 together to create a representation of the LPP.</li>
	<li>In the DVF data, conduct a laterality analysis comparing the LPP amplitude across left occipital-parietal channels and right occipital-parietal channels to ensure that the DVF presentations did not shift the typical topography of the LPP component. Conduct paired-samples t-tests between channel pairs CP1 and CP2, CP3 and CP4, C1 and C2, C3 and C4, P1 and P2, and P3 and P4 respectively to ensure that they do not significantly differ from each other on average amplitude.</li>
	<li>As the LPP is a long, sustained component, extract two different LPP epochs: early (400-700 ms post-stimulus onset) and late (700-1,000 ms post-stimulus onset).</li>
	<li>Analyze the CVF LPP data via a 3 (Valence: unpleasant, pleasant, and neutral) by 2 (Epoch: early and late) within-groups analysis of variance (ANOVA) to ensure that the typical LPP effect of emotional stimuli generating larger LPP responses than neutral stimuli is present. This analysis is done to affirm that the stimuli were processed normally.</li>
	<li>To examine the interactive effects of valence and arousal on the LPP conduct a 2 (Valence: unpleasant and pleasant) by 2 (Arousal: high and low) by 2 (Epoch: early and late) within-groups ANOVA on the CVF LPP data.</li>
	<li>To examine the effects of hemisphere of presentation, conduct the ANOVA specified in section 7.8 with the additional factor of Hemisphere: left and right on the DVF LPP data.</li>
</ol>

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The authors have nothing to disclose.

In this study, manipulations of stimulus valence and arousal were used with the DVF paradigm to test theories of lateralized processing of emotion as they apply to the motivated attention network. However, DVF methodologies can be used to explore any lateralized processing of visual information. What is critical when using DVF paradigms is the control of the stimuli presentation to ensure that the information is isolated to one hemisphere for initial processing. There are several key steps to the DVF paradigm that contribute to this aspect of the research.
First, participants are instructed to keep their eyes fixated at the center of the screen. A fixation mark, bilateral dummy stimulus (or placeholder), and a head-stabilizing chin rest are used to assist participants with maintaining this fixation. Nonetheless, participants will occasionally shift their gaze to the laterally presented stimuli. Trials in which an eye shift occurred should not be included in the analyses, as fixating on the stimulus allows both hemispheres to receive the information simultaneously. In ERP research, horizontal eye shifts can be detected in the EEG data, and those trials can be removed. In behavioral research, it may be necessary to continuously use a mirror or eye tracking to monitor eye movements.
In addition to controlling for eye shifts, stimuli need to be presented in a manner that prevents bilateral processing. To do this, it is recommended that stimuli appear no less than 3&#176; of visual angle from the fixation. It is also important not to present stimuli too laterally, where visual acuity will decline. Stimuli extending beyond 10&#176; of visual angle from the fixation are at risk for low visual acuity (see reference4 for a detailed discussion). Additionally, stimuli need to be presented below the average express saccade latency (150 ms)21. Express saccades are reflexive eye shifts to changes in the visual field, such as a stimulus appearing. Additionally, displaying a backward mask following the offset of the stimulus disrupts any early, bilateral processing of the stimulus22. Presenting the mask stimulus immediately after the experimental stimulus does add another visual stimulus to the ERP window, possibly contaminating the resulting ERP components. However, consistently using the mask stimulus across all trials of interest still allows for the examination of the effects of stimulus variables, such as valence and arousal, beyond these basic visual processing effects, as they should cancel out across the comparison of conditions.
EEG and ERPs are one way to assess the impact of lateralized processing of stimuli. It is important when using these methodologies to know if the ERP components you intend to analyze are subject to shifting their topographies following lateralized presentations of stimuli. For the LPP, previous DVF studies did not find topographical shifts29,30, but other ERP components may be sensitive to visual field side of presentation. Larger ERP amplitudes are indices of additional processing resources being used to process any given presentation of a stimulus. For example, in this study, larger LPP responses were found in the late epoch for high-arousing unpleasant images presented to the left hemisphere. This is interpreted as the left hemisphere engaging in more elaborate processing of these stimuli compared to the right hemisphere or compared to pleasant or neutral stimuli.
Behavioral tasks can also be used to assess the effects of lateralized processing of stimuli. In this case, changes in accuracy or reaction time in response to the lateralized presentations of stimuli can be interpreted as differences in the efficiency of the two hemispheres in processing that type of information. For example, both accuracy and reaction time differences between hemispheres of presentation have been found in DVF semantic priming tasks31.
DVF paradigms can be limited in that the presentation duration of the stimuli must be kept below 150 ms to prevent saccades and bilateral processing. As such, complex stimuli that require longer processing may be inappropriate for this methodology. Further, DVF paradigms can only be used to make inferences about processing in an entire cerebral hemisphere. Investigating processing within specific brain regions at a finer level than cerebral hemisphere is not possible with DVF techniques alone. If specific brain regions are part of the research question, neuroimaging or ERP techniques must be used in concert with the DVF paradigm.
DVF paradigms provide an avenue for studying lateralized processing in the brain without the need for neuroimaging equipment. This makes the study of the brain more accessible to all researchers. In the study of lateralized processing of emotional information, future studies that pair DVF presentations of systematically controlled emotional stimuli with a behavioral task can further explore the unique contributions of each cerebral hemisphere to our emotional experience.

Several theories on lateralized processing have been posited for the two cerebral hemispheres. Among these include theories of emotional processing. The valence model1 proposes that the left hemisphere is specialized for pleasant emotions, while the right hemisphere is specialized for unpleasant emotions. The right hemisphere dominance hypothesis2 proposes that the right hemisphere is specialized for processing all emotional information compared to the left hemisphere. Finally, the Circumplex Theory3 proposes that in addition to frontal asymmetries for valence, the posterior regions of the right hemisphere are specialized for processing all high-arousing emotions. In order to test these lateralized theories of processing, methodologies that can differentiate processing between the two hemispheres must be used. While neuroimaging techniques can provide this information, they are often not readily accessible to most research scientists. Further, many standard cognitive paradigms, even when coupled with neuroimaging methodologies, do not isolate information processed within each hemisphere. Divided visual field (DVF) methodologies provide an avenue for behavioral and psychophysiological scientists to test lateralized theories of processing without the use of neuroimaging techniques.
DVF methodologies are based on the knowledge that a stimulus presented to one visual field is initially received and processed by the contralateral hemisphere4. DVF methodologies utilize lateralized presentations of stimuli at short intervals to allow one cerebral hemisphere to receive the information before the other5. As such, stimuli presented briefly to the right visual field are processed contralaterally by the left hemisphere, and stimuli presented to the left visual field are processed by the right hemisphere. In this manner, differences in initial processing of the information in a single hemisphere can be examined. For example, it is well established that the left hemisphere is specialized for processing linguistic information (for a meta-analysis see reference6). Research using DVF paradigms demonstrate increased processing speed when words are presented to the left hemisphere (i.e., displayed in the right visual field) compared to when presented to the right hemisphere.
In order to assess the processing differences between the two hemispheres, measures with finer temporal resolution than behavioral reaction times may be needed. Event-related potentials (ERPs) derived from human electroencephalography (EEG) data have a temporal resolution on the order of milliseconds (ms). As such, using ERP techniques in concert with DVF methodologies allows for a refined assessment of processing differences between the two hemispheres. Initially, central visual field (CVF) presentations of the stimuli can be used to replicate established ERP effects. Then, DVF presentations of the stimuli can be used to examine the unique contributions of each hemisphere to the propagation of these ERP effects. Of particular interest for the current study7, the late positive potential (LPP) has been identified as an ERP component sensitive to the emotional arousal of a stimulus8. Interestingly, the LPP has not been found to consistently differentiate between unpleasant and pleasant stimuli, but rather, responds equally to emotional stimuli relative to neutral stimuli. This study was designed to test the lateralized processing of emotion theories using the LPP as an index of motivated attention toward emotional stimuli between the two hemispheres.
Further, this study systematically examines both the valence and arousal dimensions of the emotion stimuli across early and late manifestations of the LPP. These stimulus manipulations in combination with both CVF and DVF stimulus presentations are unique to the literature, as they allow for examining the unique and interactive influences of valence, arousal, and hemisphere of processing on the propagation of the LPP. As such, the influence of immediacy for action signaled by unpleasant compared to pleasant stimuli, which should differentially engage motivated attention and thus the LPP, can be explored.

<table border="0" cellpadding="0" cellspacing="0" width="573">
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		<tr height="84">
			<td height="84" style="height:84px;width:216px;">64-channel Ag-AgCl active electrodes</td>
			<td style="width:71px;">Cortech Solutions</td>
			<td style="width:119px;">DA-AT-ESP32102064A/DA-AT-ESP32102064B</td>
			<td style="width:167px;">EEG electrodes for data collection</td>
		</tr>
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			<td height="42" style="height:42px;width:216px;">ActiveTwo Base System</td>
			<td style="width:71px;">Cortech Solutions</td>
			<td style="width:119px;">DA-AT-BCBS</td>
			<td>Digitizes and ampliphies EEG data at 500 Hz</td>
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		<tr height="84">
			<td height="84" style="height:84px;width:216px;">E-Prime Professional 2.0</td>
			<td style="width:71px;">Psychology Software Tools</td>
			<td style="width:119px;">NA</td>
			<td>Stimulus presentation software, available at https://www.pstnet.com/eprime.cfm</td>
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			<td height="84" style="height:84px;width:216px;">CURRY 7.0</td>
			<td style="width:71px;">Compumedics Neuroscan</td>
			<td style="width:119px;">NA</td>
			<td>EEG/ERP data processing and analysis, available at http://compumedicsneuroscan.com/products/by-name/curry/</td>
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central and divided visual field presentation of emotional images to measure hemispheric differences in motivated attention

Two dominant theories on lateralized processing of emotional information exist in the literature. One theory posits that unpleasant emotions are processed by right frontal regions, while pleasant emotions are processed by left frontal regions. The other theory posits that the right hemisphere is more specialized for the processing of emotional information overall, particularly in posterior regions.
Assessing the different roles of the cerebral hemispheres in processing emotional information can be difficult without the use of neuroimaging methodologies, which are not accessible or affordable to all scientists. Divided visual field presentation of stimuli can allow for the investigation of lateralized processing of information without the use of neuroimaging technology. 
This study compared central versus divided visual field presentations of emotional images to assess differences in motivated attention between the two hemispheres. The late positive potential (LPP) was recorded using electroencephalography (EEG) and event-related potentials (ERPs) methodologies to assess motivated attention. Future work will pair this paradigm with a more active behavioral task to explore the behavioral impacts on the attentional differences found.

To replicate previous research on the LPP, both LPP responses to unpleasant and pleasant images should be larger than LPP responses to neutral images. This is confirmed by the CVF analysis, which finds the LPP in the early epoch to be significantly larger to unpleasant (M = 1.90 &#956;v) and pleasant (M = 1.71 &#956;v) images compared to neutral images (M = 0.72 &#956;v), but unpleasant and pleasant images are not found to be significantly different from each other. Interestingly, in the late epoch, the LPP is found to be larger for unpleasant (M = 1.19 &#956;v) compared to pleasant images (M = 0.56 &#956;v).
To examine the effects of hemisphere of processing on the LPP response to emotional images, differences in the LPP between the hemispheres of presentation are of interest. In this study, the LPP is found to be larger in the early epoch compared to the late epoch for all image presentations except for high-arousing unpleasant images presented to the left hemisphere. These images are not found to elicit significantly different LPP responses between the two epochs (see Table 2). In other words, the LPP response to high-arousing unpleasant images is sustained in comparison to medium-arousal unpleasant images and all pleasant images. This finding can be used to inform the theories of lateralized emotion processing. In particular, these data support theories of emotion processing that propose the right hemisphere is specialized for general emotion identification, while the left hemisphere is specialized for creating specific action plans in response to emotional stimuli28. Here, it appears that the left hemisphere engages high-arousing unpleasant images for longer, possibly to address the need for action or not.
<img alt="Figure 1" class="xfigimg" src="/files/ftp_upload/56257/56257fig1.jpg" /> 
Figure 1: A schematic of the Divided Visual Field (DVF) paradigm. Each trial consists of a centrally presented fixation (&#34;+&#34;) for 500 ms, followed by a lateralized stimulus presentation that is paired with a brown rectangle for 150 ms, followed by a backward mask for a random interval between 2,000-4,000 ms. <a href="https://cloudflare-jove-com.remotexs.ntu.edu.sg/files/ftp_upload/56257/56257fig1large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 2" class="xfigimg" src="/files/ftp_upload/56257/56257fig2.jpg" /> 
Figure 2: Mask Presentation for DVF Paradigm. <a href="https://cloudflare-jove-com.remotexs.ntu.edu.sg/files/ftp_upload/56257/56257fig2large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 3" class="xfigimg" src="/files/ftp_upload/56257/56257fig3.jpg" /> 
Figure 3: The DVF paradigm is identical to the CVF paradigm, including the size of the image stimuli, except present each image stimulus laterally, to the left or right of the fixation mark using the image-presentation slides. <a href="https://cloudflare-jove-com.remotexs.ntu.edu.sg/files/ftp_upload/56257/56257fig3large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<table border="1" fo:keep-together.within-page="1" fo:keep-with-next.within-page="always">
	<tbody>
		<tr>
			<td>High-Arousing Unpleasant</td>
			<td>Medium-Arousing Unpleasant</td>
			<td>High-Arousing Pleasant</td>
			<td>Medium-Arousing Pleasant</td>
			<td>Medium-Arousing Neutral</td>
			<td>Low-Arousing Neutral</td>
		</tr>
		<tr>
			<td>3500</td>
			<td>9000</td>
			<td>8300</td>
			<td>1600</td>
			<td>1080</td>
			<td>2271</td>
		</tr>
		<tr>
			<td>6360</td>
			<td>2750</td>
			<td>4607</td>
			<td>2341</td>
			<td>1030</td>
			<td>2280</td>
		</tr>
		<tr>
			<td>9300</td>
			<td>9432</td>
			<td>5629</td>
			<td>7230</td>
			<td>2810</td>
			<td>7234</td>
		</tr>
		<tr>
			<td>3150</td>
			<td>6311</td>
			<td>8034</td>
			<td>1590</td>
			<td>8010</td>
			<td>7700</td>
		</tr>
		<tr>
			<td>6315</td>
			<td>9265</td>
			<td>4608</td>
			<td>2345</td>
			<td>9913</td>
			<td>2210</td>
		</tr>
		<tr>
			<td>3400</td>
			<td>9320</td>
			<td>8400</td>
			<td>1999</td>
			<td>6930</td>
			<td>2221</td>
		</tr>
		<tr>
			<td>6230</td>
			<td>2276</td>
			<td>8180</td>
			<td>1463</td>
			<td>7560</td>
			<td>5120</td>
		</tr>
		<tr>
			<td>6300</td>
			<td>3181</td>
			<td>8490</td>
			<td>4622</td>
			<td>1303</td>
			<td>7590</td>
		</tr>
		<tr>
			<td>2683</td>
			<td>3051</td>
			<td>4290</td>
			<td>1500</td>
			<td>1112</td>
			<td>4233</td>
		</tr>
		<tr>
			<td>9620</td>
			<td>9911</td>
			<td>8170</td>
			<td>2331</td>
			<td>6900</td>
			<td>2516</td>
		</tr>
		<tr>
			<td>6370</td>
			<td>9420</td>
			<td>8080</td>
			<td>7352</td>
			<td>2780</td>
			<td>4000</td>
		</tr>
		<tr>
			<td>6200</td>
			<td>3061</td>
			<td>8470</td>
			<td>2224</td>
			<td>2690</td>
			<td>5534</td>
		</tr>
		<tr>
			<td>6313</td>
			<td>6243</td>
			<td>8370</td>
			<td>8497</td>
			<td>5535</td>
			<td>2490</td>
		</tr>
		<tr>
			<td>9800</td>
			<td>9006</td>
			<td>8501</td>
			<td>8210</td>
			<td>7211</td>
			<td>7180</td>
		</tr>
		<tr>
			<td>9921</td>
			<td>9340</td>
			<td>4220</td>
			<td>2650</td>
			<td>1935</td>
			<td>2830</td>
		</tr>
		<tr>
			<td>9910</td>
			<td>9561</td>
			<td>8190</td>
			<td>2310</td>
			<td>6314</td>
			<td>9070</td>
		</tr>
		<tr>
			<td>9810</td>
			<td>3300</td>
			<td>4676</td>
			<td>4610</td>
			<td>7820</td>
			<td>7224</td>
		</tr>
		<tr>
			<td>6560</td>
			<td>3101</td>
			<td>4690</td>
			<td>1721</td>
			<td>1101</td>
			<td>2383</td>
		</tr>
		<tr>
			<td>6212</td>
			<td>3180</td>
			<td>4687</td>
			<td>8090</td>
			<td>7503</td>
			<td>2272</td>
		</tr>
		<tr>
			<td>6570</td>
			<td>2205</td>
			<td>4659</td>
			<td>2352</td>
			<td>5970</td>
			<td>7920</td>
		</tr>
		<tr>
			<td>6540</td>
			<td>9280</td>
			<td>4689</td>
			<td>5460</td>
			<td>9582</td>
			<td>7031</td>
		</tr>
		<tr>
			<td>6415</td>
			<td>9415</td>
			<td>4670</td>
			<td>2303</td>
			<td>1240</td>
			<td>9210</td>
		</tr>
		<tr>
			<td>6821</td>
			<td>9342</td>
			<td>8186</td>
			<td>2208</td>
			<td>9402</td>
			<td>9401</td>
		</tr>
		<tr>
			<td>9050</td>
			<td>9220</td>
			<td>4680</td>
			<td>8540</td>
			<td>3210</td>
			<td>2480</td>
		</tr>
		<tr>
			<td>6260</td>
			<td>9560</td>
			<td>8030</td>
			<td>2395</td>
			<td>1390</td>
			<td>7595</td>
		</tr>
		<tr>
			<td>2730</td>
			<td>9140</td>
			<td>5470</td>
			<td>4641</td>
			<td>2230</td>
			<td>2590</td>
		</tr>
		<tr>
			<td>6510</td>
			<td>9421</td>
			<td>4660</td>
			<td>4700</td>
			<td>1945</td>
			<td>7025</td>
		</tr>
		<tr>
			<td>6312</td>
			<td>9301</td>
			<td>8200</td>
			<td>5480</td>
			<td>1230</td>
			<td>2215</td>
		</tr>
		<tr>
			<td>9600</td>
			<td>9181</td>
			<td>5621</td>
			<td>7260</td>
			<td>2410</td>
			<td>7186</td>
		</tr>
		<tr>
			<td>9250</td>
			<td>9435</td>
			<td>8185</td>
			<td>8461</td>
			<td>9411</td>
			<td>2441</td>
		</tr>
	</tbody>
</table>
Table 1: Stimuli ID numbers for selected stimuli for O&#39;Hare, Atchley and Young (2016) from the IAPS sorted by arousal and valence groups.
<table border="1" fo:keep-together.within-page="1" fo:keep-with-next.within-page="always">
	<tbody>
		<tr>
			<td></td>
			<td colspan="2">Left Hemisphere</td>
			<td>Right Hemisphere</td>
			<td></td>
		</tr>
		<tr>
			<td></td>
			<td>Early Epoch</td>
			<td>Late Epoch</td>
			<td>Early Epoch</td>
			<td>Late Epoch</td>
		</tr>
		<tr>
			<td>High-Arousing Unpleasant</td>
			<td>2.839</td>
			<td>2.629</td>
			<td>2.48</td>
			<td>0.968*</td>
		</tr>
		<tr>
			<td>High-Arousing Pleasant</td>
			<td>2.521</td>
			<td>1.783*</td>
			<td>3.03</td>
			<td>1.8*</td>
		</tr>
	</tbody>
</table>
Table 2: Mean LPP amplitudes for the DVF analysis.

Watch this Scientific Journal Video about Central and Divided Visual Field Presentation of Emotional Images to Measure Hemispheric Differences in Motivated Attention at JoVE.com

Central and Divided Visual Field Presentation of Emotional Images to Measure Hemispheric Differences in Motivated Attention

This study compared central versus divided visual field presentations of emotional images to assess differences in motivated attention between the two hemispheres. The late positive potential (LPP) was recorded using electroencephalography (EEG) and event-related potentials (ERPs) methodologies to assess motivated attention.

Two dominant theories on lateralized processing of emotional information exist in the literature. One theory posits that unpleasant emotions are processed ...

central-divided-visual-field-presentation-emotional-images-to-measure

Nanyang Technological University

Research

JoVE Journal

Behavior

7.5K Views.  University of Massachusetts Dartmouth. This study compared central versus divided visual field presentations of emotional images to assess differences in motivated attention between the two hemispheres. The late positive potential (LPP) was recorded using electroencephalography (EEG) and event-related potentials (ERPs) methodologies to assess motivated attention.

Video: Central and Divided Visual Field Presentation of Emotional Images to Measure Hemispheric Differences in Motivated Attention

A Dual Task Procedure Combined with Rapid Serial Visual Presentation to Test Attentional Blink for Nontargets

When viewers search for targets in a rapid serial visual presentation (RSVP) stream, if two targets are presented within about 500 msec of each other, the first target may be easy to spot but the second is likely to be missed. This phenomenon of attentional blink (AB) has been widely studied to probe the temporal capacity of attention for detecting visual targets. However, with the typical procedure of AB experiments, it is not possible to examine how the processing of non-target items in RSVP may be affected by attention. This paper describes a novel dual task procedure combined with RSVP to test effects of AB for nontargets at varied stimulus onset asynchronies (SOAs). In an exemplar experiment, a target category was first displayed, followed by a sequence of 8 nouns. If one of the nouns belonged to the target category, participants would respond &#8216;yes&#8217; at the end of the sequence, otherwise participants would respond &#8216;no&#8217;. Two 2-alternative forced choice memory tasks followed the response to determine if participants remembered the words immediately before or after the target, as well as a random word from another part of the sequence. In a second exemplar experiment, the same design was used, except that 1) the memory task was counterbalanced into two groups with SOAs of either 120 or 240 msec and 2) three memory tasks followed the sequence and tested remembrance for nontarget nouns in the sequence that could be anywhere from 3 items prior the target noun position to 3 items following the target noun position. Representative results from a previously published study demonstrate that our procedure can be used to examine divergent effects of attention that not only enhance targets but also suppress nontargets. Here we show results from a representative participant that replicated the previous finding.&#160;

This paper describes a novel dual task procedure combined with Rapid Serial Visual Presentation to look at attentional blink at varied stimulus onset asynchronies. This experimental procedure differed from others in that it tested attentional blink for nontargets.

When viewers search for targets in a rapid serial visual presentation (RSVP) stream, if two targets are presented within about 500 msec of each other, the ...

Use of the Open Field Maze to Measure Locomotor and Anxiety-like Behavior in Mice

Animal models have proven to be invaluable to researchers trying to answer questions regarding the mechanisms of behavior. The Open Field Maze is one of the most commonly used platforms to measure behaviors in animal models. It is a fast and relatively easy test that provides a variety of behavioral information ranging from general ambulatory ability to data regarding the emotionality of the subject animal. As it relates to rodent models, the procedure allows the study of different strains of mice or rats both laboratory bred and wild-captured. The technique also readily lends itself to the investigation of different pharmacological compounds for anxiolytic or anxiogenic effects. Here, a protocol for use of the open field maze to describe mouse behaviors is detailed and a simple analysis of general locomotor ability and anxiety-related emotional behaviors between two strains of C57BL/6 mice is performed. Briefly, using the described protocol we show Wild Type mice exhibited significantly less anxiety related behaviors than did age-matched Knock Out mice while both strains exhibited similar ambulatory ability.

A protocol is provided to use an Open Field Maze to access general locomotor activity, anxiety and emotionality in a laboratory mouse model.

Animal models have proven to be invaluable to researchers trying to answer questions regarding the mechanisms of behavior. The Open Field Maze is one of ...

Methods to Test Visual Attention Online

Online data collection methods have particular appeal to behavioral scientists because they offer the promise of much larger and much more representative data samples than can typically be collected on college campuses. However, before such methods can be widely adopted, a number of technological challenges must be overcome &#8211; in particular in experiments where tight control over stimulus properties is necessary. Here we present methods for collecting performance data on two tests of visual attention. Both tests require control over the visual angle of the stimuli (which in turn requires knowledge of the viewing distance, monitor size, screen resolution, etc.) and the timing of the stimuli (as the tests involve either briefly flashed stimuli or stimuli that move at specific rates). Data collected on these tests from over 1,700 online participants were consistent with data collected in laboratory-based versions of the exact same tests. These results suggest that with proper care, timing/stimulus size dependent tasks can be deployed in web-based settings.

To replicate laboratory settings, online data collection methods for visual tasks require tight control over stimulus presentation. We outline methods for the use of a web application to collect performance data on two tests of visual attention.

Online data collection methods have particular appeal to behavioral scientists because they offer the promise of much larger and much more representative ...

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control

Attention control is the ability to selectively attend to some sensory signals while ignoring others. This ability is thought to involve two processes: enhancement of sensory signals that are to be attended and the attenuation of sensory signals that are to be ignored. The overall strength of attentional modulation is often measured by comparing the amplitude of a sensory neural response to an external input when attended versus when ignored. This method is robust for detecting attentional modulation, but precludes the ability to assess the separate dynamics of attending and ignoring processes. Here, we describe methodology to measure independently the neurophysiological signals of attending and ignoring using the intermodal attention task (IMAT). This task, when combined with electroencephalography, isolates neurophysiological sensory responses in auditory and visual modalities, when either attending or ignoring, with respect to a passive control. As a result, independent dynamics of attending and of a ignoring can be assessed in either modality. Our results using this task indicate that the timing and cortical sources of attending and ignoring effects differ, as do their contributions to the attention modulation effect, pointing to unique neural trajectories and demonstrating sample utility of measuring them separately.

Attention control comprises enhancement of target signals and attenuation of distractor signals. We describe an approach to measure separately but concurrently, the neurophysiology of attending and ignoring in sustained intermodal attention, utilizing a passive control condition during which neither process is continuously engaged.

Attention control is the ability to selectively attend to some sensory signals while ignoring others. This ability is thought to involve two processes: ...

Rodent Brain Microinjection to Study Molecular Substrates of Motivated Behavior

Brain microinjection can aid elucidation of the molecular substrates of complex behaviors, such as motivation. For this purpose rodents can serve as appropriate models, partly because the response to behaviorally relevant stimuli and the circuitry parsing stimulus-action outcomes is astonishingly similar between humans and rodents. In studying molecular substrates of complex behaviors, the microinjection of reagents that modify, augment, or silence specific systems is an invaluable technique. However, it is crucial that the microinjection site is precisely targeted in order to aid interpretation of the results. We present a method for the manufacture of surgical implements and microinjection needles that enables accurate microinjection and unlimited customizability with minimal cost. Importantly, this technique can be successfully completed in awake rodents if conducted in conjunction with other JoVE articles that covered requisite surgical procedures. Additionally, there are many behavioral paradigms that are well suited for measuring motivation. The progressive ratio is a commonly used method that quantifies the efficacy of a reinforcer to maintain responding despite an (often exponentially) increasing work requirement. This assay is sensitive to reinforcer magnitude and pharmacological manipulations, which allows reinforcing efficacy and/ or motivation to be determined. We also present a straightforward approach to program operant software to accommodate a progressive ratio reinforcement schedule.

Rodents are an appropriate model to investigate the molecular substrates of behavior and complex psychiatric disorders. Brain microinjection in awake rodents can be used to elucidate disease substrates. An efficient and customizable brain microinjection method as well as the execution of an operant paradigm that quantifies motivation is presented.

Brain microinjection can aid elucidation of the molecular substrates of complex behaviors, such as motivation. For this purpose rodents can serve as ...

The Emotional Stroop Task: Assessing Cognitive Performance under Exposure to Emotional Content

The emotional Stroop effect (ESE) is the result of longer naming latencies to ink colors of emotion words than to ink colors of neutral words. The difference shows that people are affected by the emotional content conveyed by the carrier words even though they are irrelevant to the color-naming task at hand. The ESE has been widely deployed with patient populations, as well as with non-selected populations, because the emotion words can be selected to match the tested pathology. The ESE is a powerful tool, yet it is vulnerable to various threats to its validity. This report refers to potential sources of confounding and includes a modal experiment that provides the means to control for them. The most prevalent threat to the validity of existing ESE studies is sustained effects and habituation wrought about by repeated exposure to emotion stimuli. Consequently, the order of exposure to emotion and neutral stimuli is of utmost importance. We show that in the standard design, only one specific order produces the ESE.

The emotional Stroop effect (ESE) is the result of longer naming latencies to ink colors of emotion words than those of neutral words. This report refers to potential sources of confounding and includes a modal experiment that provides the means to control for them.

The emotional Stroop effect (ESE) is the result of longer naming latencies to ink colors of emotion words than to ink colors of neutral words. The ...

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

This protocol describes how to conduct temporal-order experiments to measure visual processing speed and the attentional resource distribution. The proposed method is based on a new and synergistic combination of three components: the temporal-order judgments (TOJ) paradigm, Bundesen&#39;s Theory of Visual Attention (TVA), and a hierarchical Bayesian estimation framework. The method provides readily interpretable parameters, which are supported by the theoretical and neurophysiological underpinnings of TVA. Using TOJs, TVA-based estimates can be obtained for a broad range of stimuli, whereas traditional paradigms used with TVA are mainly limited to letters and digits. Finally, the meaningful parameters of the proposed model allow for the establishment of a hierarchical Bayesian model. Such a statistical model allows assessing results in one coherent analysis both on the subject and the group level.
To demonstrate the feasibility and versatility of this new approach, three experiments are reported with attention manipulations in synthetic pop-out displays, natural images, and a cued letter-report paradigm.

Temporal-order judgments can be used to estimate processing speed parameters and attentional weights and thereby to infer the mechanisms of attentional processing. This methodology can be applied to a wide range of visual stimuli and works with many attention manipulations.

This protocol describes how to conduct temporal-order experiments to measure visual processing speed and the attentional resource distribution. The ...

Basic Methods for the Study of Reproductive Ecology of Fish in Aquaria

Captive-rearing observations are valuable for revealing aspects of fish behavior and ecology when continuous field investigations are impossible. Here, a series of basic techniques are described to enable observations of the reproductive behavior of a wild-caught gobiid fish, as a model, kept in an aquarium. The method focuses on three steps: collection, transport, and observations of reproductive ecology of a substrate spawner. Essential aspects of live fish collection and transport are (1) preventing injury to the fish, and (2) careful acclimation to the aquarium. Preventing harm through injuries such as scratches or a sudden change of water pressure is imperative when collecting live fish, as any physical damage is likely to negatively affect the survival and later behavior of the fish. Careful acclimation to aquaria decreases the incidence death and mitigates the shock of transport. Observations during captive rearing include (1) the identification of individual fish and (2) monitoring spawned eggs without negative effects to the fish or eggs, thereby enabling detailed investigation of the study species' reproductive ecology. The subcutaneous injection of a visible implant elastomer (VIE) tag is a precise method for the subsequent identification of individual fish, and it can be used with a wide size range of fish, with minimal influence on their survival and behavior. If the study species is a substrate spawner that deposits adhesive eggs, an artificial nest site constructed from polyvinyl chloride (PVC) pipe with the addition of a removable waterproof sheet will facilitate counting and monitoring the eggs, lessening the investigator's influence on the nest-holding and egg-guarding behavior of the fish. Although this basic method entails techniques that are seldom mentioned in detail in research articles, they are fundamental for undertaking experiments that require the captive rearing of a wild fish.

A series of basic methods to enable the study of the reproductive ecology of fish kept in aquaria are described. These are useful protocols for collecting fish using SCUBA, transporting live fish, and observing the reproductive behavior of wild-caught fish kept in aquaria.

Captive-rearing observations are valuable for revealing aspects of fish behavior and ecology when continuous field investigations are impossible. Here, a ...

Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking

This method uses a rapid serial visual presentation (RSVP) paradigm to measure the cost of distraction when participants maintain multiple search goals. The protocol identifies two types of distraction within a single task - contingent attentional capture and set-specific capture - that represent different types of limitations of cognitive processing. Participants search for letters in two or more &#34;target&#34; ink colors (e.g., green and orange) within a continuous RSVP stream of heterogeneously colored letters, while ignoring two peripheral RSVPs of letters. Upon detecting a target, participants are to identify the letter. On some trials, target-colored distractors appear in the periphery just prior to the presentation of a target, causing a drop in target identification performance. Contingent attentional capture is observed by examining performance on trials in which the peripheral distractor is the same color as the target on that trial (e.g., both orange). Set-specific capture is represented by performance on trials in which the peripheral distractor is target-colored (e.g., orange), but not the same color as the target on that trial (e.g., green.) By varying the amount of time (i.e., the number of stimuli appearing) between the presentation of the distractor and the target, researchers can observe how participants recover from these distraction costs over time. As compared to static displays that are often used to measure contingent attentional capture, the dynamic display produces much larger effects, allowing the researcher to identify subtle effects of smaller manipulations. An unusual aspect of our design is that it employs a continuous display; &#34;filler&#34; stimuli connect one trial to the next seamlessly, and participants respond during this interval whenever they detect a target. The continuous display reduces chance performance to near-zero levels (rather than 50%) and provides researchers with a more sensitive measure of performance differences across trial types.

This method uses a dynamic visual display to index costs of distraction during visual search, including both &#34;contingent attentional capture&#34; and &#34;set-specific capture,&#34; which is a cost of distraction that occurs when the participants maintain multiple search goals simultaneously. This method has revealed basic mechanisms and limitations of visual attention.

This method uses a rapid serial visual presentation (RSVP) paradigm to measure the cost of distraction when participants maintain multiple search goals. ...

Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior

Young children's visual environments are dynamic, changing moment-by-moment as children physically and visually explore spaces and objects and interact with people around them. Head-mounted eye tracking offers a unique opportunity to capture children's dynamic egocentric views and how they allocate visual attention within those views. This protocol provides guiding principles and practical recommendations for researchers using head-mounted eye trackers in both laboratory and more naturalistic settings. Head-mounted eye tracking complements other experimental methods by enhancing opportunities for data collection in more ecologically valid contexts through increased portability and freedom of head and body movements compared to screen-based eye tracking. This protocol can also be integrated with other technologies, such as motion tracking and heart-rate monitoring, to provide a high-density multimodal dataset for examining natural behavior, learning, and development than previously possible. This paper illustrates the types of data generated from head-mounted eye tracking in a study designed to investigate visual attention in one natural context for toddlers: free-flowing toy play with a parent. Successful use of this protocol will allow researchers to collect data that can be used to answer questions not only about visual attention, but also about a broad range of other perceptual, cognitive, and social skills and their development.

Young children do not passively observe the world, but rather actively explore and engage with their environment. This protocol provides guiding principles and practical recommendations for using head-mounted eye trackers to record infants' and toddlers' dynamic visual environments and visual attention in the context of natural behavior.

Young children's visual environments are dynamic, changing moment-by-moment as children physically and visually explore spaces and objects and interact ...