


NEURO4C's mission is to foresee psychiatric patients' treatment outcomes using neuroimaging


NEURO4C's mission is to foresee psychiatric patients' treatment outcomes using neuroimaging

Enhancing cognitive-behavioral therapy by neuroscience: novel approaches to understand treatment response for anxiety and depressive disorders in adolescents
Neuro4C: Foresee CBT outcomes in adolescents with anxiety and depression using neuroimaging
Ajută-ți copilul să depășească dificultățile emoționale!
Dacă sunteți părinte și ați observat că fiul sau fiica dumneavoastră se confruntă cu dificultăți emoționale, vă invităm să luați parte la un studiu care explorează eficiența unei intervenții livrate online în reducerea simptomelor de anxietate și depresie la adolescenți.
Acest program este destinat tinerilor cu vârsta între 13 și 17 ani, care înțeleg limba română în scris și citit, au acces la internet și care, în ultima perioadă, au manifestat:
- Tristețe, anxietate sau stres crescut
- Dificultăți în a se bucura de activitățile care înainte le aduceau plăcere
- Sentimente de descurajare, izolare sau lipsă de energie
- Probleme de concentrare, somn sau gestionare a emoțiilor
Dacă doriți ca fiul/fiica dumneavoastră să participe la evaluarea inițială, accesați formularul de acord parental prin butonul „Înscriere”.
Contribuția dvs. la dezvoltarea unor tratamente adresate problemelor emoționale este valoroasă!
Our motivation
1Scientific context
- All mental disorders have onset in childhood and adolescence
- Global prevalence of anxiety and depressive disorders increased after COVID-19 pandemic (25.2% clinicaly elevated symptoms of depression; 20.5% for anxiety)
- Half of US adolescents with mental disorders do not receive treatment, with low income countries showing alarming treatment gap
- Internet-delivered cognitive behavioral therapy (iCBT) can overcome existent barriers in treatment access.
2Current effectiveness of internet-delivered CBT
- It is proved to be a cost-effective intervention, associated with lower medication costs and increased school productivity
- It has moderate to large effect sizes documented both in adult and adolescent population
3Neural predictors of treatment outcome
- Moment-to-moment variability in the BOLD signal is a strong candidate for future and larger investigations of treatment outcome prediction
Aims
1. Developing a prediction model on moment-to-moment variability in neural responses that accurately predicts depression and anxiety disorder outcome after CBT for adolescents
2. Investigating test-retest reliability in moment-to-moment variability in brain signals
3. Comparing depressed and anxious adolescents to healthy individuals to investigate disease related neural mechanisms
Team
Associate Professor Kristoffer Månsson is a clinical psychologist and researcher investigating psychiatric patients' brains using magnetic resonance imaging. After completing postdoctoral studies at the Max Planck Institute for Human Development in Berlin, Germany, and at Dartmouth College in New Hampshire, US, he currently serves as a principal investigator, at Karolinska Institutet in Stockholm, Sweden, and at Babeș-Bolyai University in Cluj-Napoca, Romania.
Anca Dobrean, Ph.D is a Professor at the Department of Clinical Psychology and Psychotherapy, Babeş-Bolyai University from Cluj-Napoca, Romania. She is a certified clinical psychologist and cognitive-behavior psychotherapist, member of the Romanian Board of Psychologists and from 2012 is the President of the Romanian Association for Cognitive and Behavioral Psychotherapies. Her research and didactic expertise include clinical psychological assessment and evidence-based psychological interventions in child and adolescent psychopathology.
Balazsi Robert Sandor is an associate professor at Babes-Bolyai University, Cluj-Napoca. He has over 20 years of experience in teaching research methods and data analysis/modeling at different competency levels (introductory, intermediate, and advanced), and at the same time, as a data analyst, he offered professional consultancy or as a member of different teams, conducted research in many areas of expertise (psychology, medical sciences- human and veterinary, sport sciences, etc). One of his main interests is the use of (covariance-based) SEM modeling for analyzing data collected within cross-sectional and longitudinal research designs. His recent interest includes intensive longitudinal data analysis using the DSEM paradigm.
Roxana Sipos
Roxana Sipos, MD, PhD, holds a position as a Lecturer in the Department of Neurosciences at the 'Iuliu Hatieganu' University of Medicine and Pharmacy. Additionally, she serves as a Senior physician specializing in Child and Adolescent Psychiatry at the Clinical Emergency Hospital for Children in Cluj-Napoca. Her professional focus spans various areas within child and adolescent psychiatric care, covering assessment, diagnosis, therapeutic intervention, and case management. Dr. Sipos actively participates in guiding residents and conducting clinical research in this field.
Costina-Ruxandra Poetar, Ph.D is an Assistant Professor at the Department of Clinical Psychology and Psychotherapy, Faculty of Psychology and Educational Sciences, Babeş-Bolyai University from Cluj-Napoca, Romania. Her main research interests are related to digital mental health interventions for children, adolescents and parents, evidence-based assessment, and transdiagnostic interventions.Dr. Ruben Emanuel NECHIFOR is currently a Researcher at the International Institute for Advanced Studies of Psychotherapy and Applied Mental Health of Babeș-Bolyai University, being interested in Resting & Task fMRI studies, Neuroimaging, Neuroscience, Diffusion, Perfusion & Structural MRI studies in High and Ultra-High magnetic fields. He is currently a Postdoctoral Researcher in this project.
Amirhossein Manzouri
Amir is a dedicated medical imaging professional, having earned a degree from the Royal Institute of Technology in Stockholm. With over a decade of experience as a research engineer, Amir has contributed to diverse fields, including Alzheimer's disease, gender identity, and stress-related disorders. Amir's expertise spans data collection, advanced statistical analysis of functional MRI data, and structural MRI data analysis using tools like FSL, FreeSurfer and AFNI. Amir is a seasoned professional in the realm of neuroimaging methods.
Raluca Balan
Raluca Balan, Ph.D. is a postdoctoral researcher at the International Institute for Advanced Studies of Psychotherapy and Applied Mental Health, Babeş-Bolyai University (BBU). Her main research interests include use of technology in delivering intervention for youths’ mental health problems as well as mechanisms involved in youth mental health and social problems (e.g., school bullying).
Ondrej completed his BSc in Psychology & Marketing at Aberystwyth University, during which he worked as an RA at Caltech in John O'Doherty's lab, before moving to Oxford University first as an RA in Sonia Bishop's lab and later as a PhD student with Dr. Katja Wiech and Prof. Rafal Bogacz. During his PhD Ondrej investigated computational and neural mechanisms of aversive learning in relation to anxiety. He later joined the lab of Nico Schuck at the Max Planck Institute for Human Development where he continued his work on a brad range of topics in computational psychiatry and cognitive neuroscience. At the lab, Ondrej investigates test-retest reliability of neural signals, as well as perception of ambiguity in clinical groups.
Stelian Florean
Dr. Stelian Florean is a researcher in the Department of Clinical Psychology and Psychotherapy. He obtained his doctorate in 2022 by presenting a thesis that focused on identifying and understanding the key parental factors involved in the psychopathology of children. Currently, he is an associate lecturer at the Faculty of Psychology and Educational Sciences, UBB, where he teaches two courses: Research Methodology and Statistics, as well as Psychological Assessment. In addition to his expertise in clinical psychopathology in children and adolescents, he is passionate about understanding and applying advanced statistical analysis methods.
He is a Postdoctoral Researcher in this project.
Dr. Iulia Coșa is a researcher in the Department of Clinical Psychology and Psychotherapy, Cluj-Napoca. She obtained her PhD in 2024. Also she is an autonom psychologist in clinical psychology and psychotherapy, accredited by the Romanian Board of Psychologists, and Romanian Association for Behavioural and Cognitive Therapies. Her main research interests are related with adolescents mental health problems, with a special interest in gaming disorder. She is a PhD Research Assistant in this project.
Oana Munteanu
Oana Munteanu is currently a PhD student at the ”Evidence-based assessment and psychological interventions” Doctoral School of Babes-Bolyai University and a medical resident in Child and Adolescent Psychiatry at the Clinical Emergency Hospital for Children in Cluj-Napoca. She completed her master's and bachelor's degree in Medicine at the 'Grigore T. Popa' University of Medicine and Pharmacy, Iași. Her research interests include parental contributions to child
and adolescent anxiety, as well as functional neuroimaging in child internalizing disorders.Miruna Crișan
Miruna Crișan is a PhD student in the Department of Clinical Psychology and Psychotherapy at Babeș-Bolyai University, within the Doctoral School of "Evidence-based Psychological Assessment and Interventions." She is also an accredited clinical psychologist and psychotherapist, with experience in psychological assessment, psychotherapy, and counseling for various mental health conditions. Her research focuses on exploring ways to reduce anxiety in group-based settings for children and adolescents. In addition to her research, she is a university teaching assistant, conducting seminars for the Psychological Assessment course at Babeș-Bolyai University. She is a PhD Research Assistant in this project.
Tudor Văidean
Tudor Vaidean works as a resident in pediatric psychiatry, being involved in the assessment and management of a wide range of psychiatric disorders in children and adolescents. His main research interests are the identification and study of new potential markers associated with psychopathological manifestations.
Denisa Maria Moldovan
Denisa Maria Moldovan is a Ph.D. student at the Evidence-Based Psychological Assessment and Interventions Doctoral School in Cluj-Napoca, and a graduate of the Master’s program in ‘Clinical Psychology, Psychological Counseling, and Psychotherapy’. Her research interests focus on parental implications in adolescent psychopathology, and identifying key factors and interventions that can improve mental health outcomes for individuals and families.
Costin Noje
Costin Noje is a resident specializing in pediatric psychiatry, where he is actively engaged in evaluating and treating a broad spectrum of psychiatric conditions affecting children and adolescents. His primary research focus is on identifying and analyzing novel potential markers linked to psychopathological manifestations.
Neuroimaging
CBT
Predict outcomes
Project Infrastructure
Find out more about where we conduct our research
Inspire Project
Is the biggest academic project implemented by BBU that will lead to the development of an international research infrastructure, as part of the partnership between the National Centre for Magnetic Resonance (BBU Faculty of Physics) and the Skyra Platform (International Institute for the Advanced Study of Psychotherapy and Applied Mental Health – Department of Clinical Psychology and Psychotherapy at BBU).
Skyra Platform
BBU already has a competitive equipment in clinical cognitive neurosciences (3 Tesla clinical MRI), included in international networks (MERIL), from which over 1,000 patients and hundreds of participants in studies have benefited, so far. In a similar way, the Centre for Magnetic Resonance has top equipment (9.4 and 14,1 Tesla MRI Spectrometers, and a 7 Tesla pre-clinic MRI), which has pre-clinical implications in the field of medical physics.
3T MRI
The 3 Tesla Siemens Skyra MRI used in our project is unique in Romania and it features a 3T magnetic field, a spacious Open Bore of 70 cm, and advanced coils for versatile imaging. With high-performance field gradients and a TIM system for coil combination, it supports various applications like angiography, cardiology, and neuroimaging. Equipped with a portable LCD screen for fMRI studies, heart rate monitoring, and a stimulation system for experimental paradigms, the system ensures comprehensive research capabilities. Additionally, it incorporates a PACS server for secure data storage and access.
”BrainQ”
A new building with advanced clinical equipment (7 Tesla MRI) and advanced pre-clinical equipment (11,6 Tesla MRI) for the study of brain at a national and international level. Here our project will have its "home".
Neuro4C in Press
Get to know more about our current work
During Inspire Week, the project director gave a speech about the project's activities to a diverse audience.
Publications News
The Researcher's Guide to Selecting Biomarkers in Mental Health Studies
We are pleased to announce the publication of the study, "The Researcher's Guide to Selecting Biomarkers in Mental Health Studies," in the journal BioEssays, conducted by our colleague Kristoffer Månsson, along with a team of Neuroscience researchers. This paper represents a valuable contribution to understanding how to incorporate biological measures in mental health research, bridging the gap between clinical and biological approaches.
Automatic Classification of Signal and Noise in Functional Magnetic Resonance Imaging Scans Using Convolutional Neural Networks
We are pleased that our study "Automatic Classification of Signal and Noise in Functional Magnetic Resonance Imaging Scans Using Convolutional Neural Networks," has been published in the proceedings of the 25th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2024). The conference, hosted in Valencia, Spain, took place from November 20–22, 2024. The study can be found in the conference proceedings, published by Springer Nature Switzerland (Cham), on pages 75–84.
Overview of the project in Romanian
Numele Proiectului
Enhancing cognitive-behavioral therapy by neuroscience: novel approaches to understand treatment response for anxiety and depressivedisorders in adolescents
Beneficiar
Universitatea Babeș-Bolyai
Obiectivul Proiectului
Dezvoltarea unui model de predicție bazat pe variabilitatea răspunsului neuronal moment cumoment pentru a prezice rezultatul psihoterapieipentru adolescenții cu tulburări depresive șide anxietate
Valoarea totală a proiectului
6.999.890 lei + TVA
Termen de finalizare
30.06.2026
"PNRR. Finanțat de Uniunea Europeană –UrmătoareaGenerațieUE"
Conținutul acestui material nu reprezintă în mod obligatoriu poziția oficială a Uniunii Europene sau a Guvernului României
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www.neuro4c.eu | 2023