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25
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Introduction
Current institution
Education
October 2016 - May 2019
September 2011 - June 2016
Publications
Publications (25)
NBS-Predict is a prediction-based extension of the Network-based Statistic (NBS) approach, which aims to alleviate the curse of dimensionality, lack of interpretability, and problem of generalizability when analyzing brain connectivity. NBS-Predict provides an easy and quick way to identify highly generalizable neuroimaging-based biomarkers by comb...
Substance use, including cigarettes and cannabis, is associated with poorer sustained attention in late adolescence and early adulthood. Previous studies were predominantly cross-sectional or under-powered and could not indicate if impairment in sustained attention was a predictor of substance use or a marker of the inclination to engage in such be...
Task-based functional magnetic resonance imaging (tb-fMRI) provides valuable insights into individual differences in the neural basis of cognitive functions because it links specific cognitive tasks to their evoked neural responses. Yet, it is challenging to scale to population-level data due to its cognitive demands, variations in task design acro...
Substance use, including cigarettes and cannabis, is associated with poorer sustained attention in late adolescence and early adulthood. Previous studies were predominantly cross-sectional or under-powered and could not indicate if impairment in sustained attention was a predictor of substance-use or a marker of the inclination to engage in such be...
Substance use, including cigarettes and cannabis, is associated with poorer sustained attention in late adolescence and early adulthood. Previous studies were predominantly cross-sectional or under-powered and could not indicate if impairment in sustained attention was a consequence of substance-use or a marker of the inclination to engage in such...
Substance use, including cigarettes and cannabis, is associated with poorer sustained attention in late adolescence and early adulthood. Previous studies were predominantly cross-sectional or under-powered and could not indicate if impairment in sustained attention was a consequence of substance-use or a marker of the inclination to engage in such...
Substance use, including cigarettes and cannabis, is associated with poorer sustained attention in late adolescence and early adulthood. Previous studies were predominantly cross-sectional or under- powered and could not indicate if impairment in sustained attention was a consequence of substance- use or a marker of the inclination to engage in suc...
Urban-living individuals are exposed to many environmental factors that may combine and interact to influence mental health. While individual factors of an urban environment have been investigated in isolation, no attempt has been made to model how complex, real-life exposure to living in the city relates to brain and mental health, and how this is...
NBS-Predict is a prediction-based extension of the Network-based Statistic (NBS, Zalesky et al., 2010) approach, which aims to alleviate the curse of dimensionality, lack of interpretability, and problem of generalizability when analyzing brain connectivity. NBS-Predict provides an easy and quick way to identify highly generalizable neuroimaging-ba...
According to virtual reality dream theory (Hobson & Friston, 2014), while dreaming, brains generate a dream world similar to a virtual reality environment, and this world uses the same predictive self/world modeling capacity as that used during wakefulness. The theory proposes that phenomenology of dreaming experience is based on the waking experie...
This chapter provides an example-based walkthrough for the novel connectome-based predictive method of NBS-Predict. We present two application scenarios with freely available data covering two main prediction problems in machine learning: regression and classification. For regression, we employed NBS-Predict to infer individuals’ fluid intelligence...
According to virtual reality dream theory (Hobson & Friston, 2014) while dreaming, brains generate a dream world similar to a virtual reality environment, and this world utilizes the same predictive self/world modelling capacity as that used during wakefulness. The theory proposes that phenomenology of dreaming experience is based on the waking exp...
Graph models of the brain hold great promise as a framework to study functional and structural brain connectivity across scales and species. The network-based statistic (NBS) is a well-known tool for performing statistical inference on brain graphs, which controls the family-wise error rate in a mass univariate analysis by combining the cluster-bas...
Graph models of the brain hold great promise for identification of effect associated sub- networks in structural or functional connectivity. For analysis of brain connectivity, the network-based statistic (NBS) is a powerful method that controls the family-wise error rate in a weak sense, combining cluster-based permutation technique and the graph...
Previous studies have shown that natural environments such as forests have a facilitative influence on reducing the stress level of individuals. The empirical research has also revealed that such restorative impacts on humans appear in three different responses that are emotional, physiological, and cognitive (Ulrich et al., 1991). The purpose of t...
Schizophrenia is a complex disorder in which abnormalities in brain connectivity and social functioning play a central role. The aim of this study is to explore small-world network properties, and understand their relationship with social functioning and social cognition in the context of schizophrenia, by testing functional connectivity difference...
Flow state emerges when a person engages in autotelic activities, which are both enjoyable and challenging. While studies generally focused on qualitative data of flow state, a few were conducted on psychophysiological basis of it. Present study aimed to investigate EEG correlates of flow. Twenty participants preliminarily filled out Flow Short Sca...
Schizophrenia is a complex disorder in which abnormalities in brain connectivity and social functioning play a central role. Currently, intensive study is being conducted on brain structures and mechanisms related to social functioning in schizophrenia. The aim of this study is to explore network characteristics such as small-world network properti...
