About
Juha Lahnakoski is a Researcher at the Jülich Research Centre, specifically affiliated with the Institute of Neuroscience and Medicine (INM) and the Brain and Behaviour department (INM-7). Based in Building 14.6y, Room 2047 at the Jülich campus in Germany, he conducts interdisciplinary neuroscience research utilizing functional magnetic resonance imaging (fMRI) and machine learning methodologies.
His primary research focuses on social cognition and emotion processing in neurodevelopmental conditions, particularly autism spectrum disorder (ASD). Lahnakoski pioneers naturalistic paradigms—such as movie-watching during fMRI scans—to capture brain activity in ecologically valid contexts. His work examines inter-subject functional connectivity patterns in ASD, neural correlates of different love types, oxytocin-brain structure relationships in autistic adults, and brain stimulation approaches for modulating social cognition. He also investigates methodological challenges in machine learning applications for neuroimaging data.
Analysis of Lahnakoski's recent publications (2023-2025) reveals three dominant trends: (1) Cross-national validation of reduced inter-subject connectivity in ASD during naturalistic stimulation; (2) Machine learning applications for identifying psychiatric biomarkers, particularly in borderline personality disorder; and (3) Integration of second-person neuroscience frameworks into clinical psychiatry. His research consistently bridges computational methods with clinical questions, emphasizing ecological validity through naturalistic stimuli.
Lahnakoski actively collaborates across international teams, as evidenced by comparative studies of German and Finnish ASD samples. His work within INM-7 contributes to understanding neural mechanisms underlying human social behavior, with translational implications for neurodevelopmental and psychiatric conditions.
