Neuroticism has recently received increased attention in the psychology field due to the finding of high implications of neuroticism on an individual’s life and broader public health. This study aims to investigate the effect of a brief 6-week breathing-based mindfulness intervention (BMI) on undergraduate neurotic students’ emotion regulation. We acquired data of their psychological states, physiological changes, and electroencephalogram (EEG), before and after BMI, in resting states and tasks. Through behavioral analysis, we found the students’ anxiety and stress levels significantly reduced after BMI, with p-values of 0.013 and 0.027, respectively. Furthermore, a significant difference between students in emotion regulation strategy, that is, suppression, was also shown. The EEG analysis demonstrated significant differences between students before and after MI in resting states and tasks. Fp1 and O2 channels were identified as the most significant channels in evaluating the effect of BMI. The potential of these channels for classifying (single-channel-based) before and after BMI conditions during eyes-opened and eyes-closed baseline trials were displayed by a good performance in terms of accuracy (~77%), sensitivity (76–80%), specificity (73–77%), and area-under-the-curve (AUC) (0.66–0.8) obtained by k-nearest neighbor (KNN) and support vector machine (SVM) algorithms. Mindfulness can thus improve the self-regulation of the emotional state of neurotic students based on the psychometric and electrophysiological analyses conducted in this study.

Brain Electrical Capacitance Volume Tomography (Brain ECVT) is a new technique that realizes real-time volumetric imaging of dynamic changes in electrical activity of the brain and allows total interrogation of the whole volume inside a helmet-shaped sensor. The technique has been used for investigating numerous brain functional abnormalities, including brain tumors, based on permittivity different from the tumor case, as compared to the normal brain. However, interpretation of the conventional Brain ECVT image is not practical for clinical purposes, as the image resolutions are high in the cortical area and lower in the middle region. The technique provides relatively good sensitivity when the tumor is located near the cortex. In this study, we developed a novel method, namely the average subtraction technique, to process the reconstructed image of the brain obtained by Brain ECVT. The technique generates a three-dimensional intracranial distribution of permittivity that correlates with the electrical activity map of the brain with improved resolution in the center region of the brain. The technique provides better insight into brain intracranial electrical activity, which is quite distinctive when there is tumor development inside the brain. The technique may lead to better detection of brain tumors inside the brain based on the electrical activity scan.

The Indonesian government for many years has tried to protect the public from the dangers of pornography by blocking various sites. Although various efforts have been made to block access to pornography, a report from the Ministry of Women's Empowerment and Child Protection mentioned that 97% of Indonesian teens were exposed to pornography from the internet. In order to increase awareness, especially in the addiction phase, scientific evidences showing the bad effects of pornography addiction is needed. In this study, 15 teens addicted to internet pornography underwent brain mapping using electroencephalography (EEG) in a resting state for approximately 20 minutes. The data were processed using a quantitative EEG (QEEG) approach, especially Fast Fourrier Transform (FFT) by first removing all artifacts on the electroencephalogram during recording. The analysis focused on the delta wave in the forebrain, showing the dominance of the prefrontal cortex, which has implications for cognitive function decline, especially the braking system among these teens addicted to internet pornography. The decline in cognitive function causes teens to lose the ability to determine what is right and wrong or refrain from doing wrong. Based on the results, efforts to educate teens about the dangers of pornography addiction need to be further promoted.

The discovery of internet has facilitated humans in their daily life such as in getting information, performed business transaction, etc. The occurence of social media since the 1990s has developed a new function of internet which enables the users to interact with each other virtually. Unfortunately, social media is suspected to cause phubbing behavior among internet users. A previous study has stated that the ‘like’ and ‘love’ responses in social media posts may cause a social media addiction in the users’ everyday life that can interfere with their daily activities. In this article, we explain briefly a review from neuroscience perspective on the emergence of addictive behavior in the use of social media in daily life.

Nowadays, memes are used as funny yet effective approach to send the messages for people. The growth of internet and digital media in recent years make memes easier to spread around the world. There are many studies about the perception to memes among different ages. However, it is still unclear the visual attention of people to memes. To solve the problem, human eye tracker could be used as objective and bias free technology. In this study, millennials and non-millennials participants were shown many memes image in random order. Participant’s eye movements were recorded using human eye tracker to measure visual attention. Following eye tracking, participants completed a modified questionnaire to measure the perceptions of memes.

Salah satu permasalahan klasik yang dihadapi oleh para peneliti di metode konvesional dalam riset adalah adanya potensi hasil yang bias, yang kemungkinan disebabkan oleh faking-good para partisipan. Oleh sebab itu satu pendekatan guna mendapatkan data yang bebas bias dan lebih objektif perlu diimplementasikan seperti penggunaan teknologi pencitraan otak. Hingga saat ini, berbagai instrumen bisa digunakan untuk riset psikologi khususnya yag terkait dengan kognisi. Dikarenakan sifat non-invasive, kemampauan penilaian secara real-time, mobilitas atau kepraktisan instrumen beserta diperbolehkannya kebebasan bergerak partisipan adalah hal-hal yang harus dipertimbangkan, maka functional near-infrared spectroscopy (fNIRS) memiliki potensi sebagai pilihan rasional untuk riset kognisi. Dalam studi ini, kami menjabarkan konsep dasar fNIRS dan aplikasinya dalam mengukur otak manusia di riset.