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1,708 results for “young adults”
MODYS-video: 2D Human pose estimation data and Dyskinesia Impairment Scale scores from children and young adults with dyskinetic cerebral palsy
<p>The dataset contains the 2D coordinates in pixels of body landmarks (wrists, ankles, shoulders, hips, knees and ankles) extracted from 188 videos of 34 children with dyskinetic cerebral palsy using DeepLabCut [1] and appertaining clinical scores of the Dyskinesia Impairment Scale (DIS) [2].</p> <p>The videos were collected during the item “lying in rest” and “sitting in rest” of the DIS at three time points during a clinical trial on the effect of intrathecal baclofen [3]. Children had a mean age of 14y2m (SD 4.0), 26 were male. Their gross motor function classification system level ranged from IV-V and their manual ability classification system level from III-V. Original videos have length of 4-35 seconds with a resolution of 720x575 pixels and are sampled with 25 Hz. We added stick figures to complement the data for context and ease of understanding. They were created from the 2D coordinates that were extracted with a likelihood >0.8.</p> <p>Clinical scoring was performed by three trained experts (according to the DIS) on the original videos. Within the items “lying in rest” and “sitting in rest” the amplitude and duration of dystonia and choreoathetosis of the trunk, proximal right arm, proximal left arm, proximal right leg and proximal left leg are scored on a 0-4 ordinal scale and calculated towards a percentage score between 0-1.</p> <p>The dataset can be used in a machine learning approach to automatically assess dystonia and choreoathetosis of children with dyskinetic cerebral palsy using 2D coordinates of body points extracted from videos.</p> <p> </p> <p>References:</p> <p>1. Mathis, A., et al., DeepLabCut: markerless pose estimation of user-defined body parts with deep learning. Nat Neurosci, 2018. 21(9): p. 1281-1289.</p> <p>2. Monbaliu, E., et al., The dyskinesia Impairment Scale: a new instrument to measure dystonia and choreoathetosis in dyskinetic cerebral palsy. Dev Med Child Neurol, 2012. 54: p. 278-283.</p> <p>3. Bonouvrie, L.A., et al., The Effect of Intrathecal Baclofen in Dyskinetic Cerebral Palsy: The IDYS Trial. Ann Neurol, 2019. 86: p. 79-90.</p> <p> </p> <p> </p>
Integrating REBT and ACT : An intervention study for managing academic self-handicapping behaviour among young adults
<p>The data consists of pre and post interventions scores of 25 participants who were selected based on their ratings on Academic self -handicapping scale (Geetika & Gupta, 2020) . Thirteen participants were randomly assigned to the experimental group which was exposed to 8 hours of intervention that combined REBT and ACT. Twelve participants were randomly assigned to the control group and did not receive any intervention. The pre-intervention scores on Academic self -handicapping scale (Geetika & Gupta, 2020) were assessed at the beginning of the intervention and at two weeks since the beginning of the intervention. Sub scale scores on Behavioural and Claimed self -handicapping were recorded and overall score by adding the two were also obtained. </p>
Dementia knowledge and misconceptions: a cross-sectional study in Swiss and Italian young adults, adults, and older adults
<p>The dataset was generated during a cross sectional survey conducted in September-December 2019 aimed at quantifying dementia knowledge in the general population. Data come from a sample of 1500 young adults, adults, and older adults living in Northern Italy and Southern Switzerland. We registered socio-demographic characteristics including whether the participant had contact with a person living with dementia, and measured dementia knowledge with the Dementia Knowledge Assessment Survey (DKAS). </p>
Transition to adult services experienced by young people with cerebral palsy: A cross-sectional study
<p>Data used in publication entitled: "Transition to adult services experienced by young people with cerebral palsy: A cross-sectional study" </p> <p>Published in Developmental Medicine and Child Neurology, June 2022.</p> <p>Associated metadata provided in "metadata_v1"</p>
Gait behavioral and neuromuscular characterization in response to increasing working memory load while walking under optic flow perturbations in young adults
<p>The precise role of cognitive control on optic flow processing during locomotion has rarely been investigated. Therefore, this study aimed to determine whether coping with unreliable visual inputs during walking requires attentional resources. Twenty-four healthy young adults walked on an instrumented treadmill in a virtual environment under two optic flow conditions: normal (NOF) and perturbed (POF, continuous mediolateral pseudo-random oscillations). Each condition was performed under single-task and dual-task conditions of increasing difficulty (1-, 2-, 3-back). In all conditions, subjective mental workload was estimated (raw NASA-TLX). For kinematic variables, mean, standard deviation, statistical persistence and step-to-step error correction were computed from gait time series in mediolateral and anteroposterior directions. For EMG variables of soleus and gluteus medius, the full width at half maximum and the variance ratio were calculated. Performance on N-back tasks was assessed using mean reaction time and d-prime. Cognitive performance was not affected by simultaneous walking in any optic flow condition. Gait variability was altered under POF compared to NOF, so that young adults sought to counteract those perturbations by adopting an effortful gait control strategy, independently of concurrent working memory (WM) load. Increasing WM load led changes first at the neuromuscular level, then at the behavioral level, with a prioritization of gait control in the mediolateral direction. Interestingly, dual-tasking lowered the effects of POF but in the anteroposterior direction only. These findings and their theoretical implications provide valuable insight into the complex interaction effects of cognitive and visual constraints on gait control during treadmill walking.</p>
Export for MOdeLINGVis of the Expected Protein Profile of Neurotypical Young Adults
<p>INTRODUCTION: The dataset of the full raw electrophoretic data, named Expected Protein Profile workbook, is treated to be imported to MATLAB. Please refer to https://doi.org/10.5281/zenodo.7054406 to have access to the full dataset and to the preliminary methodology ("EPPStrategyDataExport") used in the electrophoretic data. This treated electrophoretogram was named "ExportForMOdeLINGVis" and can also be consulted at https://tinyurl.com/ExportForMOdeLINGVis.</p> <p>METHODOLOGY: The electrophoretic dataset was treated and imported to MATLAB. First, the section "Present in the following subphenomes" was added, which comprised binary variables (present/absent) to identify in which subgroup the Molecular Bands were present. Secondly, the previously obtained preliminary triple entry table was added to the Molecular Bands Summary for each Subject (ex: D01309). Lastly, the database was implemented into the MODeLING.Vis toolbox and the variables were imported into arrays. Those arrays indexed a linear matrix of the variables: Molecular Bands Subgroups (kDa) and Concentration (ng/µl) of each sample (subject). For the full methodology, please consult https://doi.org/10.5281/zenodo.7041477</p>
Neurotypical young adults' Expected Protein Profile: the EPPStrategyDataExport workbook and strategy applied to the electrophoretic data.
<p>INTRODUCTION: A dataset of electrophoretic data, named Expected Protein Profile workbook, is published. The dataset corresponds to the full raw electrophoretogram of the Expected Protein Profiles of the 92 neurotypical young adults. The dataset can also be consulted at: https://tinyurl.com/EPPStrategyDataExport.</p> <p>METHODOLOGY: The dataset consist of a workbook comprising 6 worksheets, which demonstrates the preliminary strategy applied to the electrophoretic data – 6 stages were executed. For the full methodology, please consult https://doi.org/10.5281/zenodo.7041477.</p>
Fig. 6 in Reciprocal Predation Between Preserved And Invasive Species: Adult Bombina Bombina Predate Young Whitebaits Of Alien Fish Perccottus Glenii
Fig. 6. Plot for fitted model of initial number of live and predated P. glenii.
Fig. 2. Experimental box with P in Reciprocal Predation Between Preserved And Invasive Species: Adult Bombina Bombina Predate Young Whitebaits Of Alien Fish Perccottus Glenii
Fig. 2. Experimental box with P. glenii and pair of B. bombina.
REXCO Project :Physical exercise increases overall brain oscillatory activity but does not influence inhibitory control in young adults
<p><strong>Methods and design</strong></p> <p><em>Participants</em></p> <p>We recruited 20 young males (19-32 years old, average age 23.8 years old) from the University of Granada (Spain). All participants met the inclusion criteria of normal or corrected to normal vision, reported no neurological, cardiovascular or musculoskeletal disorders, were taking no medication and reporting less than 3 hours of moderate exercise per week. Participants were required to maintain regular sleep-wake cycle for at least one day before each experimental session and to abstain from stimulating beverages or any intense exercise 24 hours before each session. From the 20 participants, one was excluded from the analyses because he did not attend to the last experimental session and another one because of technical issues. Thus, only data from the remaining 18 participants are reported. All subjects gave written informed consent before the study and received 20 euros for their participation. The protocol was approved in accordance with both the ethical guidelines of the University of Granada and the Declaration of Helsinki of 1964.</p> <p><em>Apparatus and materials</em></p> <p>All participants were fitted with a Polar RS800 CX monitor (Polar Electro Öy, Kempele, Finland) to record their heart rate (HR) during the incremental exercise test. We used a ViaSprint 150 P cycle ergometer (Ergoline GmbH, Germany) to induce physical effort and to obtain power values, and a JAEGER Master Screen gas analyser (CareFusion GmbH, Germany) to provide a measure of gas exchange during the effort test. Flanker task stimuli were presented on a 21-inch BENQ screen maintaining a fixed distance of 50 cm between the head of participants and the center of the screen. E-Prime software (Psychology Software Tools, Pittsburgh, PA, USA) was used for stimulus presentation and behavioural data collection.</p> <p><em>Procedure</em></p> <p>Participants completed two counterbalanced experimental sessions of approximately 120 min each. Sessions were scheduled on different days allowing a time interval of 48–72 hours between them to avoid possible fatigue and/or training effects. On each experimental session (see Fig. 1), participants completed a 15’ resting state period sitting in a comfortable chair with closed eyes. Subsequently, they performed 10’ warm-up on a cycle-ergometer at a power load of 20% of their individual VO<sub>2</sub> VAT, following by 30’ exercise at 80% (moderate-intensity exercise session) or at 20% (light intensity exercise session) of their VO<sub>2</sub> VAT (see Table 1). Upon completion of the exercise, a 10’ cool down period at 20% VO<sub>2</sub> VAT of intensity followed. Each participant set his preferred cadence (between 60-90 rpm • min-1) before the warm-up and was asked to maintain this cadence throughout the session in order to match conditions in terms of dual-task demands. Later, participants waited sitting in a comfortable chair until their heart rate returned to within their 130% of heart rate at resting (average waiting time 5’ 44’’). The first flanker task was then performed for 6’, followed by a 15’ resting period with closed eyes. Finally, they again completed the 6’ flanker task.</p> <p><em>Flanker task</em></p> <p>We used a modified version of the Eriksen flanker task based on that reported in Eriksen and Eriksen (1974). The task consisted of a random presentation of a set arrows flanked by other arrows that faced the same or the opposite direction. In the congruent trials, the central arrow is flanked by arrows in the same direction (e.g., <<<<< or >>>>>), while in the incongruent trials, the central arrow is flanked by arrows in the opposite direction (e.g., <<><< or >><>>). Stimuli were displayed sequentially on the center of the screen on a black background. Each trial started with the presentation of a white fixation cross in a black background with random duration between 1000 and 1500 ms. Then, the stimulus was presented during 150 ms and a variable interstimulus interval (1000–1500 ms). Participants were instructed to respond by pressing the left tab button with their left index finger when the central arrow (regardless of condition) faced to the left and the right tab button with their right index finger when the central arrow faced to the right. Participants were encouraged to respond as quick as possible, being accurate. A total of 120 trials were randomly presented (60 congruent and 60 incongruent trials) in each task. Each task lasted for 6 minutes approximately without breaks.</p> <p><em>EEG recording and analysis</em></p> <p>EEG data were recorded at 1000 Hz using a 30-channel actiCHamp System (Brain Products GmbH, Munich, Germany) with active electrodes positioned according to the 10-20 EEG International System and referenced to the Cz electrode. The cap was adapted to individual head size, and each electrode was filled with Signa Electro-Gel (Parker Laboratories, Fairfield, NJ). Participants were instructed to avoid body movements as much as possible, and to keep their gaze on the center of the screen during the exercise. Electrode impedances were kept below 10 kΩ. EEG preprocessing was conducted using custom Matlab scripts and the EEGLAB (Delorme & Makeig, 2004) and Fieldtrip (Oostenveld et al., 2011) Matlab toolboxes. EEG data were resampled at 500 Hz, bandpass filtered offline from 1 and 40 Hz to remove signal drifts and line noise, and re-referenced to a common average reference. Horizontal electrooculograms (EOG) were recorded by bipolar external electrodes for the offline detection of ocular artifacts. The potential influence of electromyographic (EMG) activity in the EEG signal was minimized by using the available EEGLAB routines (Delorme & Makeig, 2004). Independent component analysis was used to detect and remove EEG components reflecting eye blinks (Hoffmann and Falkenstein, 2008). Abnormal spectra epochs which spectral power deviated from the mean by +/-50 dB in the 0-2 Hz frequency window (useful for catching eye movements) and by +25 or -100 dB in the 20-40 Hz frequency window (useful for detecting muscle activity) were rejected. On average, 5.1% of epochs per participant were rejected.</p> <p><em>Spectral power analysis</em>. Processed EEG data from each experimental period (Resting 1, Warm-up, Exercise, Cool Down, Flanker Task 1, Resting 2, Flanker Task 2) were subsequently segmented to 1-s epochs. The spectral decomposition of each epoch was computed using Fast Fourier Transformation (FFT) applying a symmetric Hamming window and the obtained power values were averaged across experimental periods.</p> <p><em>Event-Related Spectral Perturbation (ERSP) analysis.</em> Task-evoked spectral EEG activity was assessed by computing ERSP in epochs extending from –500 ms to 500 ms time-locked to stimulus onset for frequencies between 4 and 40 Hz. Spectral decomposition was performed using sinusoidal wavelets with 3 cycles at the lowest frequency and increasing by a factor of 0.8 with increasing frequency. Power values were normalized with respect to a −300 ms to 0 ms pre-stimulus baseline and transformed into the decibel scale.</p>
REXCO Project :Physical exercise increases overall brain oscillatory activity but does not influence inhibitory control in young adults
<p><strong>Methods and design</strong></p> <p><em>Participants</em></p> <p>We recruited 20 young males (19-32 years old, average age 23.8 years old) from the University of Granada (Spain). All participants met the inclusion criteria of normal or corrected to normal vision, reported no neurological, cardiovascular or musculoskeletal disorders, were taking no medication and reporting less than 3 hours of moderate exercise per week. Participants were required to maintain regular sleep-wake cycle for at least one day before each experimental session and to abstain from stimulating beverages or any intense exercise 24 hours before each session. From the 20 participants, one was excluded from the analyses because he did not attend to the last experimental session and another one because of technical issues. Thus, only data from the remaining 18 participants are reported. All subjects gave written informed consent before the study and received 20 euros for their participation. The protocol was approved in accordance with both the ethical guidelines of the University of Granada and the Declaration of Helsinki of 1964.</p> <p><em>Apparatus and materials</em></p> <p>All participants were fitted with a Polar RS800 CX monitor (Polar Electro Öy, Kempele, Finland) to record their heart rate (HR) during the incremental exercise test. We used a ViaSprint 150 P cycle ergometer (Ergoline GmbH, Germany) to induce physical effort and to obtain power values, and a JAEGER Master Screen gas analyser (CareFusion GmbH, Germany) to provide a measure of gas exchange during the effort test. Flanker task stimuli were presented on a 21-inch BENQ screen maintaining a fixed distance of 50 cm between the head of participants and the center of the screen. E-Prime software (Psychology Software Tools, Pittsburgh, PA, USA) was used for stimulus presentation and behavioural data collection.</p> <p><em>Procedure</em></p> <p>Participants completed two counterbalanced experimental sessions of approximately 120 min each. Sessions were scheduled on different days allowing a time interval of 48–72 hours between them to avoid possible fatigue and/or training effects. On each experimental session (see Fig. 1), participants completed a 15’ resting state period sitting in a comfortable chair with closed eyes. Subsequently, they performed 10’ warm-up on a cycle-ergometer at a power load of 20% of their individual VO<sub>2</sub> VAT, following by 30’ exercise at 80% (moderate-intensity exercise session) or at 20% (light intensity exercise session) of their VO<sub>2</sub> VAT (see Table 1). Upon completion of the exercise, a 10’ cool down period at 20% VO<sub>2</sub> VAT of intensity followed. Each participant set his preferred cadence (between 60-90 rpm • min-1) before the warm-up and was asked to maintain this cadence throughout the session in order to match conditions in terms of dual-task demands. Later, participants waited sitting in a comfortable chair until their heart rate returned to within their 130% of heart rate at resting (average waiting time 5’ 44’’). The first flanker task was then performed for 6’, followed by a 15’ resting period with closed eyes. Finally, they again completed the 6’ flanker task.</p> <p><em>Flanker task</em></p> <p>We used a modified version of the Eriksen flanker task based on that reported in Eriksen and Eriksen (1974). The task consisted of a random presentation of a set arrows flanked by other arrows that faced the same or the opposite direction. In the congruent trials, the central arrow is flanked by arrows in the same direction (e.g., <<<<< or >>>>>), while in the incongruent trials, the central arrow is flanked by arrows in the opposite direction (e.g., <<><< or >><>>). Stimuli were displayed sequentially on the center of the screen on a black background. Each trial started with the presentation of a white fixation cross in a black background with random duration between 1000 and 1500 ms. Then, the stimulus was presented during 150 ms and a variable interstimulus interval (1000–1500 ms). Participants were instructed to respond by pressing the left tab button with their left index finger when the central arrow (regardless of condition) faced to the left and the right tab button with their right index finger when the central arrow faced to the right. Participants were encouraged to respond as quick as possible, being accurate. A total of 120 trials were randomly presented (60 congruent and 60 incongruent trials) in each task. Each task lasted for 6 minutes approximately without breaks.</p> <p><em>EEG recording and analysis</em></p> <p>EEG data were recorded at 1000 Hz using a 30-channel actiCHamp System (Brain Products GmbH, Munich, Germany) with active electrodes positioned according to the 10-20 EEG International System and referenced to the Cz electrode. The cap was adapted to individual head size, and each electrode was filled with Signa Electro-Gel (Parker Laboratories, Fairfield, NJ). Participants were instructed to avoid body movements as much as possible, and to keep their gaze on the center of the screen during the exercise. Electrode impedances were kept below 10 kΩ. EEG preprocessing was conducted using custom Matlab scripts and the EEGLAB (Delorme & Makeig, 2004) and Fieldtrip (Oostenveld et al., 2011) Matlab toolboxes. EEG data were resampled at 500 Hz, bandpass filtered offline from 1 and 40 Hz to remove signal drifts and line noise, and re-referenced to a common average reference. Horizontal electrooculograms (EOG) were recorded by bipolar external electrodes for the offline detection of ocular artifacts. The potential influence of electromyographic (EMG) activity in the EEG signal was minimized by using the available EEGLAB routines (Delorme & Makeig, 2004). Independent component analysis was used to detect and remove EEG components reflecting eye blinks (Hoffmann and Falkenstein, 2008). Abnormal spectra epochs which spectral power deviated from the mean by +/-50 dB in the 0-2 Hz frequency window (useful for catching eye movements) and by +25 or -100 dB in the 20-40 Hz frequency window (useful for detecting muscle activity) were rejected. On average, 5.1% of epochs per participant were rejected.</p> <p><em>Spectral power analysis</em>. Processed EEG data from each experimental period (Resting 1, Warm-up, Exercise, Cool Down, Flanker Task 1, Resting 2, Flanker Task 2) were subsequently segmented to 1-s epochs. The spectral decomposition of each epoch was computed using Fast Fourier Transformation (FFT) applying a symmetric Hamming window and the obtained power values were averaged across experimental periods.</p> <p><em>Event-Related Spectral Perturbation (ERSP) analysis.</em> Task-evoked spectral EEG activity was assessed by computing ERSP in epochs extending from –500 ms to 500 ms time-locked to stimulus onset for frequencies between 4 and 40 Hz. Spectral decomposition was performed using sinusoidal wavelets with 3 cycles at the lowest frequency and increasing by a factor of 0.8 with increasing frequency. Power values were normalized with respect to a −300 ms to 0 ms pre-stimulus baseline and transformed into the decibel scale.</p>
ISIEA: An image database of social inclusion and exclusion in Asian young adults
<p> </p> <p>Here we introduce an open-access, free, and standardized set of image stimuli, the image database of social inclusion/exclusion in Asian young adults (ISIEA), which is developed and validated by our lab for academic purposes in the field of social & affective processing especially social inclusion/exclusion studies.</p> <p> </p> <p>This database contains a set of 164 images depicting social interaction scenarios under three categories of social contexts (social exclusion, social neutral, and social inclusion). Standardized assessments are provided for each image, including the traditional emotional dimensions of arousal and valence, the inclusion score which evaluates the level of perceived social inclusion, and the vicarious feeling scale which evaluates the level of affective feeling when you imagine yourself as the highlighted person in the image. Visual physical properties of each image are also provided, including luminance, contrast, complexity, and color parameters. Additionally, we offer the ratings of face component and context component for each image (see Zheng et al., 2021 below for details). These parameters (Appendix 1) would be helpful for image selection and control of confounding factors.</p> <p> </p> <p>Note: This database is freely provided for only academic purpose (including laboratory research, journal publication, academic posters, conference exhibitions, etc.). Any commercial or other non-academic use is not allowed. It is allowable to make appropriate post-processing of the images (e.g., adjustment of brightness, contrast, color, clarity, and size) for research purpose, but not allowable to maliciously modify or deface the portraits in these images. We require to cite the paper of Zheng et al. (2021) properly when using the ISIEA. You are also welcomed to cite our other studies that have already used part of the images in the database as experimental materials.</p> <p> </p> <p>Users in Mainland China can also download from the following link using Baidu Netdisk. This link allows you to select a specific category of image to download according to your needs. If you have any problems with download or application of the database, please feel free to contact Mr. Li via <a href="mailto:liyw07@outlook.com">liyw07@outlook.com</a>. You are also welcome to contact Prof. Zhang via <a href="mailto:zhangdd05@gmail.com">zhangdd05@gmail.com</a> for suggestions and collaboration. </p> <p> </p> <p><strong>Baidu Netdisk link: </strong>https://pan.baidu.com/s/1ekNEUxNk4ZmoZgqIWBOHNA</p> <p><strong>Code: </strong>ISIE</p> <p> </p> <p><strong>Database instructions and citation:</strong></p> <p>Zheng, Z., Li, S., Mo, L., Chen, W., & Zhang, D. (2022). ISIEA: An image database of social inclusion and exclusion in young Asian adults. <em>Behavior research methods</em>, <em>54</em>(5), 2409–2421. <a href="https://doi.org/10.3758/s13428-021-01736-w">https://doi.org/10.3758/s13428-021-01736-w</a></p> <p> </p> <p><strong>Previous related articles using these images:</strong></p> <p><span>Zhao J, Mo L, Bi R, He Z, Chen Y, Xu F, Xie H, Zhang D. The VLPFC versus the DLPFC in downregulating social pain using reappraisal and distraction strategies. <em><span>The Journal of Neuroscience</span></em>, 2021, 41(6):1331-9. <a href="https://doi.org/10.1523/JNEUROSCI.1906-20.2020">https://doi.org/10.1523/JNEUROSCI.1906-20.2020</a></span></p> <p><span>Zhenhong He, Sijin Li, Licheng Mo, Zixin Zheng, Yiwei Li, Hong Li, Dandan Zhang. The VLPFC-engaged voluntary emotion regulation: Combined TMS-fMRI evidence for the neural circuit of cognitive reappraisal. <em>The Journal of Neuroscience</em>, 2023, 43(34):6046-6060. <a href="https://doi.org/10.1523/JNEUROSCI.1337-22.2023">https://doi.org/10.1523/JNEUROSCI.1337-22.2023</a></span></p> <p><span>He Z, Liu Z, Zhao J, Elliott R, Zhang D. Improving emotion regulation of social exclusion in depression-prone individuals: A tDCS study targeting right VLPFC. <em><span>Psychological Medicine</span></em>, 2020, 50(16):2768-79. <a href="https://doi.org/10.1017/S0033291719002915">https://doi.org/10.1017/S0033291719002915</a></span></p> <p><span>Sijin Li, Jingxu Chen, Kexiang Gao, Feng Xu, Dandan Zhang. Excitatory brain stimulation over the left dorsolateral prefrontal cortex enhances voluntary distraction in depressed patients, <em>Psychological Medicine</em>, 2023, 53:6646-55. <a href="https://doi.org/10.1017/S0033291723000028">https://doi.org/10.1017/S0033291723000028</a></span></p> <p><span>He Z, Lin Y, Xia L, Liu Z, Zhang D, Elliott R. Critical role of the right VLPFC in emotional regulation of social exclusion: A tDCS study. <em><span>Social Cognitive and Affective Neuroscience</span></em>, 2018, 13(4):357-66. <a href="https://doi.org/10.1093/scan/nsy026">https://doi.org/10.1093/scan/nsy026</a></span></p> <p><span>Licheng Mo, Sijin Li, Si Cheng, Yiwei Li, Feng Xu, Dandan Zhang. Emotion regulation of social pain: Double dissociation of lateral prefrontal cortices supporting reappraisal and distraction. <em>Social Cognitive and Affective Neuroscience,</em> 2023,18(1), 1-10. <a href="https://doi.org/10.1093/scan/nsad043">https://doi.org/10.1093/scan/nsad043</a></span></p> <p><span>He Z, Zhao J, Shen J, Muhlert N, Elliott R, Zhang D. The right VLPFC and downregulation of social pain: A TMS study. <em><span>Human Brain Mapping</span></em>, 2020, 41:1362-71. <a href="https://doi.org/10.1002/hbm.24881">https://doi.org/10.1002/hbm.24881</a> </span></p> <p><span>Wenwen Yu, Yiwei Li, Xueying Cao, Licheng Mo, Yuming Chen, Dandan Zhang. The role of ventrolateral prefrontal cortex on voluntary emotion regulation of social pain. <em>Human Brain Mapping</em>, 2023, 44(13): 4710-4721. <a href="https://doi.org/10.1002/hbm.26411">https://doi.org/10.1002/hbm.26411</a></span></p> <p><span>Cheng S, Qiu X, Li S, Mo L, Xu F, Zhang D. Different Roles of the Left and Right Ventrolateral Prefrontal Cortex in Cognitive Reappraisal: An Online Transcranial Magnetic Stimulation Study.<em><span> Frontiers in human neuroscience</span></em>, 2022, 16:928077. <a href="https://doi.org/10.3389/fnhum.2022.928077">https://doi.org/10.3389/fnhum.2022.928077</a></span></p> <p><span>王妹</span><span>, </span><span>程思</span><span>, </span><span>李宜伟</span><span>, </span><span>李红</span><span>, </span><span>张丹丹</span><span>. </span><span>背外侧前额叶在安慰剂效应中的作用</span><span>:</span><span>社会情绪调节研究</span><span>. </span><em><span>心理学报</span></em><span>, 2023, 55(7):1063-3. <a href="https://doi.org/10.3724/sp.J.1041.2023.01063">https://doi.org/10.3724/sp.J.1041.2023.01063</a></span></p> <p><span>莫李澄</span><span>, </span><span>郭田友</span><span>, </span><span>张岳瑶</span><span>, </span><span>徐锋</span><span>, </span><span>张丹丹</span><span>. </span><span>激活右腹外侧前额叶提高抑郁症患者对社会疼痛的情绪调节能力</span><span>:</span><span>一项</span><span>TMS</span><span>研究</span><span>. </span><em><span>心理学报</span></em><span>, 2021, 53(05):494-504. <a href="https://doi.org/10.3724/sp.J.1041.2021.00494">https://doi.org/10.3724/sp.J.1041.2021.00494</a></span></p> <p><span>于文汶</span><span>, </span><span>王妹</span><span>, </span><span>仇秀芙</span><span>, </span><span>高可翔</span><span>, </span><span>陈伟茂</span><span>, </span><span>张丹丹</span><span>. </span><span>腹外侧前额叶经颅磁刺激对社会疼痛的影响</span><span>:</span><span>拒绝敏感性和抑郁的调节作用</span><span>. </span><em><span>中国临床心理学杂志</span></em><span>, 2022, 30(04):985-990+972. <a href="https://doi.org/10.16128/j.cnki.1005-3611.2022.04.045">https://doi.org/10.16128/j.cnki.1005-3611.2022.04.045</a></span></p> <p><strong>Last Updated:</strong> <span>2023.12.14</span></p> <p> </p> <p> </p>
Supplementary data of survey on self-help books reading attitudes and mental well-being among young adults
<p>Data was generated through SHRAS and WEMWBS survey questionnaires and statistical analysis. Responses were based on reading attitudes towards self-help books and mental well-being.</p>
Deidentified public survey data for: Patterns and perceptions of nicotine use among U.S. adolescents and young adults receiving medication treatment for opioid use disorder
<p>Nicotine use among U.S. youth is cause for concern, as previous studies have shown that nicotine use in adolescence increases the risk of developing substance use disorders later in life. This exploratory study aimed to understand patterns of nicotine use and perceptions of various nicotine products among adolescents and young adults (AYA) receiving medication treatment for opioid use disorder (MOUD). We administered an adapted version of the National Youth Tobacco Survey via REDCap to AYA (n=32) receiving outpatient care in the Medication-Assisted Treatment of Addiction at Nationwide Children's Hospital in Columbus, Ohio, U.S.A. Thirty (97%) participants had tried a combustible cigarette and 27 (90%) had tried an electronic cigarette. By age 13, nineteen (61%) participants had tried combustible cigarettes and eight (25%) had tried opioids. Twenty-two (71%) participants reported smoking combustible cigarettes every day for the past 30 days, and 15 (48%) reported smoking more than 10 cigarettes per day on average. Only ten (32%) participants reported e-cigarette use in the last 30 days. Participants universally agreed that tobacco products are dangerous, and twenty (67%) current tobacco users reported that they planned to quit in the next year. Nicotine use patterns among AYA receiving MOUD differ from that previously shown in the general population, primarily by high prevalence of nicotine use in early adolescence and high current combustible cigarette use. Interventions such as universal screening for nicotine use before age 13 and tailored smoking cessation programs for AYA with OUD may help optimize care for these individuals.</p>
Study to Evaluate the Efficacy of ALKS 3831 on Body Weight in Young Adults Who Have Been Recently Diagnosed With Schizophrenia, Schizophreniform, or Bipolar I Disorder
ClinicalTrials.gov study NCT03187769. IPD Sharing: NO. Countries: 12. Publications: 1.
Phase 3 Clinical Trial with Dapagliflozin in Chronic Kidney Disease in Adolescents and Young Adult Patients
ClinicalTrials.gov study NCT05944016. IPD Sharing: YES. Countries: 1. Publications: 2.
The EMERGE Project: Feasibility of Assessing Economic and Sexual Risk Behaviors Using Text Messages in Young Adults
ClinicalTrials.gov study NCT03237871. IPD Sharing: YES. Countries: 1. Publications: 1.
A Phase I Study of Quadrivalent Human Papilloma Virus (HPV) (Types 6, 11, 16, 18) Recombinant Vaccine in HIV-Infected and HIV-Negative Pre-Adolescents, Adolescents, and Young Adults
ClinicalTrials.gov study NCT00798265. IPD Sharing: YES. Countries: 1. Publications: 3.
Testing an Evidence-Based Supported Employment Model in Autistic Young Adults
ClinicalTrials.gov study NCT06829264. IPD Sharing: NO. Countries: 1. Publications: 5.
Statin Therapy in Young Adult Survivors of Childhood Cancer
ClinicalTrials.gov study NCT01733953. IPD Sharing: NO. Countries: 1. Publications: 1.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.