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Bicocca Open Archive Research Data

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1970
2022
1970 2022
73 results
  • Effect of race on Gaze Cueing in adults with high and low autistic traits
    In an online study we investigated in White Italian adults whether individuals with high autistic traits (measured by the Autism spectrum Quotient) show reduced implicit racial bias (measured by the Implicit Association Test) and if this bias would lead to differences in the gaze cueing effect (GCE) triggered by gaze direction of faces of different races. Results showed that participants with high and low-medium autistic traits had the same ingroup bias. Interestingly, females with high autistic traits showed a significant GCE only for White faces. However, with Black cueing faces when the AQ score increased the GCE decreased or was absent. In females, higher level of autistic traits is associated with a reduced ability to orient attention toward the outgroup.
    • Dataset
  • Illumination and gaze effects on face evaluation: the Bi-AGI Database
    Face evaluation and first impression generation can be affected by multiple face elements such as invariant facial features, gaze direction and environmental context; however, the composite modulation of eye gaze and illumination on faces of different gender and ages has not been previously investigated. We aimed at testing how these different facial and contextual features affect ratings of social attributes. Thus, we created and validated the Bi-AGI Database, a freely available new set of male and female face stimuli varying in age across lifespan from 18 to 87 years, gaze direction and illumination conditions. Judgments on attractiveness, femininity-masculinity, dominance and trustworthiness were collected for each stimulus. Results evidence the interaction of the different variables in modulating social trait attribution, in particular illumination differently affects ratings across age, gaze and gender, with less impact on older adults and greater effect on young faces.
    • Dataset
  • Pictionary-based communication tool for assessing individual needs and motivational states in locked-in patients: P.A.I.N. set
    This set of communication tools is indicated for understanding the needs of locked-in (LIS) patients unable to speak or communicate through verbal, sign, or body language, and is ideal for communicating through Brain Computer Interface (with the P300 paradigm, speller, machine learning, EEG/ERP classification, eye tracking). It comprises 60 validated, easily comprehensible, pictorial tables depicting adult persons in various contexts that affect their physiological or psychological state. Their motivational states are illustrated in a small cloud. The drawings are in color and representative of both sexes and various ethnicity. THIS MATERIAL CAN BE FREELY USED FOR RESEARCH OR CLINICAL PURPOSES, PROVIDED THAT APPROPRIATE CREDIT IS GIVEN TO THE SOURCE. Proverbio, A.M., Pischedda, F. (2022). Validation of a Pictionary-based communication tool for assessing individual needs and motivational states in locked-in patients (P.A.I.N. set). Terms and conditions: This material cannot be used for commercial purposes. Therefore it cannot be transferred to technological devices of any type and be sold. This material cannot be placed in any internet web site nor can it be provided to profit making companies, or to the media (television, journals). To request the PAIN set for clinical use, or for non-profit academic research purposes, write to mado.proverbio@unimib.it We do not accept requests directly from students, nor do we accept any requests from students on behalf of their advisor. Students should ask their faculty advisor to make the request.
    • Dataset
  • Data related to article "Facemasks impair the recognition of facial expressions that stimulate empathy (sadness, fear and disgust): an ERP study"
    In this study, ERPs were recorded in a group of 26 healthy male and female students engaged in recognizing 6 facial expressions of people wearing or not wearing surgical masks. Faces were preceded by the visual presentation of emotion prime words that were congruent or incongruent with the facial expression. The data of this collection are grand-average waveforms of Event-Related potentials (ERPs) recorded in healthy right-handed humans from 128 electrode sites at 512 Hz of sampling rate. The time epoch is 800 ms. ERP data were processed in two different ways: i) considering all EEG trials, or ii) only that not associated with an incorrect response. However, due to the largely uneven error rate across conditions (e.g., for masked faces or subtle emotions) ranging from 3.22 to 55.66%, the second method was considered unsound from the methodological point of view, and the more conservative and rigorous approach was preferred. Differences across conditions (masked vs. unmasked) were in fact larger when considering only correct responses. It should be noted that ERPs computed on the correct recognitions mostly contained signals reflecting the processing of easier to recognize stimuli (e.g. happy unmasked faces).
    • Dataset
  • Data for: ERP markers of visual and auditory imagery: a ‘mind reading’ approach for BCI systems
    Grand-average ERP waveforms recorded during mental imagery and perception of visual and auditory stimuli in a large group of healthy right-handed participants. Visual and auditory stimuli representing biologically relevant categories (e.g., faces, animals, voices…) were presented to 30 participants during a perceptual and an imagery condition, to collect the corresponding neural electrical signals. Unprecedented electro-physiological markers of imagery (in absence of sensory stimulation) were identified showing a specific response at given scalp sites and latency during imagination of infants (centroparietal positivity, CPP and late CPP), human faces (anterior negativity, AN), animals (anterior positivity, AP), music (P300), speech (N400), vocalizations (P2-like) and sensory (visual vs. auditory) modality (PN300). These ERP markers might be precious tools for BCI systems (pattern recognition, classification or A.I. algorithms) applied to patients affected by consciousness disorders (e.g., in a vegetative or comatose state) or locked-in-patients (e.g. spinal or SLA patients).
    • Dataset
  • Data for: Improvising enhances anticipatory skills. A comparison between jazz and classical musicians.
    The dataset here included is related to the research project “Improvising enhances anticipatory skills. A comparison between jazz and classical musicians”, approved by the ethical committee of the University of Milan-Bicocca (RM_2016_78). It includes performances of 2 different groups of musicians (classical and jazz) and a control group of nonmusician participants at an auditory and visual Anticipation Task. 3 conditions of the task are included for each modality (Rhythm 1 = unstressed condition, Rhythm 2 = stressed condition, and Rhythm 5 = unpredictable condition). Each condition includes 10 trials that are reported in 10 columns for each participant. Performances at the Purdue Pegboard Battery (Tiffin, 1999) and at the discrimination of rhythm task (here expressed in dprime scores) are also included for all the participants. The last columns included report the average scores and standard deviations of the anticipation task's trials.
    • Tabular Data
    • Dataset
  • Data for: Discrimination of ordinal relationships in temporal sequences by 4-month-old infants
    Raw data for habiutation and test trials by subject (sex and age)
    • Tabular Data
    • Dataset
  • Data for: Complexity in neuropsychological assessment of cognitive impairment. A network analysis approach.
    Raw data from the paper "Complexity in neuropsychological assessment of cognitive impairment. A network analysis approach" by Tosi, Borsani, Castiglioni, Daini, Franceschi and Romano. The file includes all the raw scores of the neuropsychological assessments.
    • Tabular Data
    • Dataset
  • Data for: Shame behind the corner? A daily diary investigation of pathological narcissism
    Data and R-code for: "Shame behind the corner? A daily diary investigation of pathological narcissism".
    • Software/Code
    • Tabular Data
    • Dataset
  • Data for: Discrimination of ordinal relationships in temporal sequences by 4-month-old infants
    Data from both habituation and test trials by subject (age and sex)
    • Tabular Data
    • Dataset
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