@article{MTMT:34150704,
	title = {Psychometric validation of the Reported and Intended Behaviour Scale (RIBS) in Hungary with a particular focus on ‘Don’t know’ responses and further scoring recommendations},
	url = {https://m2.mtmt.hu/api/publication/34150704},
	author = {Őri, Dorottya and Vass, Edit and Vajsz, Kornél and Vincze, Katalin and Sztancsik, Veronika and Szemán-Nagy, Anita and Simon, Lajos},
	doi = {10.1186/s12889-023-16707-3},
	journal-iso = {BMC PUBLIC HEALTH},
	journal = {BMC PUBLIC HEALTH},
	volume = {23},
	unique-id = {34150704},
	issn = {1471-2458},
	year = {2023},
	eissn = {1471-2458},
	orcid-numbers = {Őri, Dorottya/0000-0003-0878-165X; Vass, Edit/0000-0002-8858-7277; Vajsz, Kornél/0009-0006-7004-4078; Simon, Lajos/0000-0002-5180-9040}
}

@article{MTMT:33606225,
	title = {The complexity of theory of mind deficit in schizophrenia. A cross-sectional analysis of baseline data from a longitudinal schizophrenia study},
	url = {https://m2.mtmt.hu/api/publication/33606225},
	author = {Vass, Edit and Simon, Viktória and Csukly, Gábor and Kis, Balázs and Zsigmond, Réka Ildikó and Hermán, Levente and Simon, Lajos},
	doi = {10.1016/j.actpsy.2023.103842},
	journal-iso = {ACTA PSYCHOL},
	journal = {ACTA PSYCHOLOGICA},
	volume = {233},
	unique-id = {33606225},
	issn = {0001-6918},
	abstract = {A large number of trials have supported the functional significance of Theory of Mind (ToM) impairment in schizophrenia. However, the nature and the extent of the impairment are still unclear. Reviews on the topic suggest that, in many cases, studies use only one tool to assess the levels of difficulty in the field, limiting the validity of the measurement to one aspect of ToM. On the other hand, the divergence of the used assessment tools makes it hard to compare the result of these studies. Thus, we decided to use additional assessment tools to evaluate the extent of ToM in order to describe several aspects of the phenomenon. A hierarchical cluster analysis of variables was used on a sample of 68 participants with schizophrenia or schizoaffective disorder, to determine the similarity between variances of the assessed ToM subcomponents. Further cross-sectional correlational analysis was then performed to investigate the association between the identified clusters and other used measures (e.g.: neurocognition). The statistical analysis supported a five-cluster model. Identified clusters illustrate the difference between Hypo and HyperToM as well as the degree of ToM task complexity, allowing for a more accurate description of the nature of ToM deficit in schizophrenia.},
	keywords = {SCHIZOPHRENIA; SOCIAL COGNITION; Theory of Mind; Pragmatic language impairment},
	year = {2023},
	eissn = {1873-6297},
	orcid-numbers = {Vass, Edit/0000-0002-8858-7277; Csukly, Gábor/0000-0002-5006-9407; Zsigmond, Réka Ildikó/0000-0002-7019-6761; Hermán, Levente/0000-0002-1376-5366; Simon, Lajos/0000-0002-5180-9040}
}

@article{MTMT:33157158,
	title = {Virtual reality-based theory of mind intervention in schizophrenia: Preliminary efficacy results},
	url = {https://m2.mtmt.hu/api/publication/33157158},
	author = {Vass, Edit and Simon, Viktória and Csukly, Gábor and Fekete, Zita and Kis, Balázs and Simon, Lajos},
	doi = {10.1016/j.comppsych.2022.152350},
	journal-iso = {COMPR PSYCHIAT},
	journal = {COMPREHENSIVE PSYCHIATRY},
	volume = {119},
	unique-id = {33157158},
	issn = {0010-440X},
	year = {2022},
	eissn = {1532-8384},
	orcid-numbers = {Vass, Edit/0000-0002-8858-7277; Csukly, Gábor/0000-0002-5006-9407; Simon, Lajos/0000-0002-5180-9040}
}

@misc{MTMT:33118672,
	title = {Mentális betegséggel élők önstigmatizációja},
	url = {https://m2.mtmt.hu/api/publication/33118672},
	author = {Vass, Edit and Zsély, A and Sztancsik, Veronika and Szemán-Nagy, Anita and Őri, Dorottya and Vajsz, Kornél and Horváth, M and Vincze, K and Yang, Zijian G and Simon, Lajos},
	unique-id = {33118672},
	year = {2022},
	orcid-numbers = {Vass, Edit/0000-0002-8858-7277; Őri, Dorottya/0000-0003-0878-165X; Vajsz, Kornél/0009-0006-7004-4078; Simon, Lajos/0000-0002-5180-9040}
}

@misc{MTMT:33118669,
	title = {A média szerepe a mentális zavarokat övező stigmatizáció fenntartásában: Szentimentanalízis},
	url = {https://m2.mtmt.hu/api/publication/33118669},
	author = {Vass, Edit and Zsély, A and Sztancsik, Veronika and Szemán-Nagy, Anita and Őri, Dorottya and Vajsz, Kornél and Horváth, M and Vincze, K and Yang, Zijian G and Simon, Lajos},
	unique-id = {33118669},
	year = {2022},
	orcid-numbers = {Vass, Edit/0000-0002-8858-7277; Őri, Dorottya/0000-0003-0878-165X; Vajsz, Kornél/0009-0006-7004-4078; Simon, Lajos/0000-0002-5180-9040}
}

@article{MTMT:33057970,
	title = {The applicability of the Beck Depression Inventory and Hamilton Depression Scale in the automatic recognition of depression based on speech signal processing},
	url = {https://m2.mtmt.hu/api/publication/33057970},
	author = {Hajduska-Dér, Bálint and Kiss, Gábor and Sztahó, Dávid and Vicsi, Klára and Simon, Lajos},
	doi = {10.3389/fpsyt.2022.879896},
	journal-iso = {FRONT PSYCHIATRY},
	journal = {FRONTIERS IN PSYCHIATRY},
	volume = {13},
	unique-id = {33057970},
	issn = {1664-0640},
	abstract = {Depression is a growing problem worldwide, impacting on an increasing number of patients, and also affecting health systems and the global economy. The most common diagnostical rating scales of depression are self-reported or clinician-administered, which differ in the symptoms that they are sampling. Speech is a promising biomarker in the diagnostical assessment of depression, due to non-invasiveness and cost and time efficiency. In our study, we try to achieve a more accurate, sensitive model for determining depression based on speech processing. Regression and classification models were also developed using a machine learning method. During the research, we had access to a large speech database that includes speech samples from depressed and healthy subjects. The database contains the Beck Depression Inventory (BDI) score of each subject and the Hamilton Rating Scale for Depression (HAMD) score of 20% of the subjects. This fact provided an opportunity to compare the usefulness of BDI and HAMD for training models of automatic recognition of depression based on speech signal processing. We found that the estimated values of the acoustic model trained on BDI scores are closer to HAMD assessment than to the BDI scores, and the partial application of HAMD scores instead of BDI scores in training improves the accuracy of automatic recognition of depression.},
	year = {2022},
	eissn = {1664-0640},
	orcid-numbers = {Hajduska-Dér, Bálint/0000-0001-8708-2317; Simon, Lajos/0000-0002-5180-9040}
}

@article{MTMT:32754471,
	title = {Mitől lesz valaki troll? A trollkodás pszichológiája: Szisztematikus irodalmi áttekintés},
	url = {https://m2.mtmt.hu/api/publication/32754471},
	author = {Vass, Edit and Csukly, Gábor and Simon, Lajos},
	journal-iso = {PSYCHIATRIA HUNG},
	journal = {PSYCHIATRIA HUNGARICA},
	volume = {37},
	unique-id = {32754471},
	issn = {0237-7896},
	abstract = {The World Wide Web along with online social media has significantly changed the dynamics of communication. Information is easier and faster to access, but at the same time the relevance of the content often remains questionable, often confronting users with half-truths and untruths. Information consumption patterns have also changed a lot, allowing more room for the emergence of deviant, provocative behaviors through anonymity. The latter form of behavior can have different effects depending on its intensity and content, including, the polarization of opinions or the negative influence on users 'psychological wellbeing'. In our current article the literature on the pheno menon known as trolling in Internet slang was reviewed in order to better understand its nature and its possible effects.Our systematic literature review was based on a computer search of the PubMed and ScienceDirect databases framed by the PRISMA guideline. The following keywords were used: "Internet" OR "Facebook" OR "Twitter" OR "Instagram" AND "troll" OR "trolling".Based on the mentioned methon, a total number of 4575 articles were identified. Based on the inclusion and exclusion criteria 24 articles were included in the final sample. The results and experiences of the published papers were presented according to the subgroups formed on the basis of the purpose of the studies.Included articles focused primarily on understanding the motivation of trolling behavior and their impact on online behavior. However, the possible impact of trolls on individuals was left out of focus, leaving many open questions behind.},
	year = {2022},
	pages = {13-28},
	orcid-numbers = {Vass, Edit/0000-0002-8858-7277; Csukly, Gábor/0000-0002-5006-9407; Simon, Lajos/0000-0002-5180-9040}
}

@article{MTMT:32575720,
	title = {Virtuális valóság a pszichiátriában és a pszichoterápiában},
	url = {https://m2.mtmt.hu/api/publication/32575720},
	author = {Simon, Lajos and Pénzváltó, T. and Vass, Edit},
	journal-iso = {PSYCHIATRIA HUNG},
	journal = {PSYCHIATRIA HUNGARICA},
	volume = {36},
	unique-id = {32575720},
	issn = {0237-7896},
	year = {2021},
	pages = {336-350},
	orcid-numbers = {Simon, Lajos/0000-0002-5180-9040; Vass, Edit/0000-0002-8858-7277}
}

@{MTMT:32459048,
	title = {A nemi identitás zavarai},
	url = {https://m2.mtmt.hu/api/publication/32459048},
	author = {Simon, Lajos},
	booktitle = {A pszichiátria magyar kézikönyve},
	unique-id = {32459048},
	year = {2021},
	pages = {370-376},
	orcid-numbers = {Simon, Lajos/0000-0002-5180-9040}
}

@article{MTMT:32118681,
	title = {Stigmatizáció és időskori mentális betegségek},
	url = {https://m2.mtmt.hu/api/publication/32118681},
	author = {Vajsz, Kornél and Horváth, Márton and Simon, Lajos and Vass, Edit and Sztancsik, Veronika},
	journal-iso = {ESÉLY},
	journal = {ESÉLY: TÁRSADALOM ÉS SZOCIÁLPOLITIKAI FOLYÓIRAT},
	volume = {32},
	unique-id = {32118681},
	issn = {0865-0810},
	year = {2021},
	pages = {3-19},
	orcid-numbers = {Vajsz, Kornél/0009-0006-7004-4078; Simon, Lajos/0000-0002-5180-9040; Vass, Edit/0000-0002-8858-7277}
}