title: Psychophysiological whole-brain network clustering based on connectivity dynamics analysis in naturalistic conditions.
abstract: We introduce a novel method for delineating context-dependent functional brain networks whose connectivity dynamics are synchronized with the occurrence of a specific psychophysiological process of interest. In this method of context-related network dynamics analysis (CRNDA), a continuous psychophysiological index serves as a reference for clustering the whole-brain into functional networks. We applied CRNDA to fMRI data recorded during the viewing of a sadness-inducing film clip. The method reliably demarcated networks in which temporal patterns of connectivity related to the time series of reported emotional intensity. Our work successfully replicated the link between network connectivity and emotion rating in an independent sample group for seven of the networks. The demarcated networks have clear common functional denominators. Three of these networks overlap with distinct empathy-related networks, previously identified in distinct sets of studies. The other networks are related to sensorimotor processing, language, attention, and working memory. The results indicate that CRNDA, a data-driven method for network clustering that is sensitive to transient connectivity patterns, can productively and reliably demarcate networks that follow psychologically meaningful processes. Hum Brain Mapp 37:4654-4672, 2016. © 2016 Wiley Periodicals, Inc.
authors.affiliation: Tel Aviv Center For Brain Functions, Wohl Institute for Advanced Imaging, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.|The Steve Tisch School of Film and Television, Tel Aviv University, Tel Aviv, Israel.|IBM Research, Haifa, Israel.
authors.forename: Gal
authors.initials: G
authors.lastname: Raz
authors.affiliation: IBM Research, Haifa, Israel.
authors.forename: Lavi
authors.initials: L
authors.lastname: Shpigelman
authors.affiliation: Tel Aviv Center For Brain Functions, Wohl Institute for Advanced Imaging, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.|Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
authors.forename: Yael
authors.initials: Y
authors.lastname: Jacob
authors.affiliation: Tel Aviv Center For Brain Functions, Wohl Institute for Advanced Imaging, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.|School of Psychological Sciences, Tel-Aviv University, Tel Aviv, Israel.
authors.forename: Tal
authors.initials: T
authors.lastname: Gonen
authors.affiliation: Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv, Israel.
authors.forename: Yoav
authors.initials: Y
authors.lastname: Benjamini
authors.affiliation: Tel Aviv Center For Brain Functions, Wohl Institute for Advanced Imaging, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.|School of Psychological Sciences, Tel-Aviv University, Tel Aviv, Israel.|Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
authors.forename: Talma
authors.initials: T
authors.lastname: Hendler
mesh_terms: D000328:Adult; D001921:Brain / Q000000981:diagnostic imaging* / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods*; D004644:Emotions / Q000502:physiology*; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods; D008297:Male; D009040:Motion Pictures; D009434:Neural Pathways / Q000000981:diagnostic imaging / Q000502:physiology; D011603:Psychophysiology; D057566:Self Report; D014796:Visual Perception / Q000502:physiology*
keywords: emotion; fMRI; functional connectivity; network dynamics