Yael Jacob

PhD student at Prof. Talma Hendler & Belayed Prof. Eshel Ben-Jacob’s laboratory

Research title
Dynamics and Hierarchy of Emotion Regulation Brain Networks; Towards Network Based Neuro-feedback

Research project

In my study I developed and implemented a graph based network analysis of fMRI data referred to as the 'Dependency Network', a new approach to characterize network hierarchies while taking into account specific context related states. This analysis probes relationships of influence, or dependency between the selected nodes of a given network. We now aim to further develop this method into an fMRI network based closed-loop procedure termed "neurofeedback" (NF) to improve neural processing of emotional regulation in a newly diagnosed group of social anxiety disorder patients.


  • Lecture the International School and Conference on Network Science NetSciX 2017. Jacob Y, Winetraub Y, Raz G, Ben-Simon E, Rosenberg-Katz K, Ben-Jacob E, Hendler T. " Dependency network analysis depicts functional brain network's flow of information". Tel Aviv, Israel, January 2017.

  • Poster at the 22th annual meeting of the Organization for Human Brain Mapping. Jacob Y, Gross J, Hendler T, Goldin P. "Dynamics of Emotion Regulation in Social Anxiety Disorder depicted by Dependency Network Analysis". Organization for Human Brain Mapping (OHBM), Geneva, Switzerland, 2016.

  • Poster at the 21st NetSci Conference. Jacob Y, Raz G, Rosenberg-Katz K, Hendler T, Ben-Jacob E. "Revealing Context Related Dynamics of Brain Network Hierarchy by Dependency Network Analysis of fMRI". Berkeley, California, USA, June 2014.

  • Lecture at the 21st International Society for Posture and Gait Research (ISPGR) Conference. Jacob Y, Rosenberg K, Herman T, Giladi N, Hendler T, Hausdorff J M. ” Differences in Gray Matter Atrophy between Parkinson's Disease Motor Subtypes: possible Role of GM as a Mediator between Motor and Cognitive Function”. Joint World Congress of ISPGR and Gait & Mental Function, Akita, Japan, 2013.

  • Poster at the 21st Israel Society for Neuroscience (ISFN) Conference. Jacob Y, Raz G, Madi A, Gilam G, Lin T, Ben-Jacob E, Hendler T. ” Typifying emotional reappraisal by fMRI based network graph organization”. ISFN Meeting and the First Binational Australian-Israeli Neuroscience Meeting, Dec 15-18, 2012.

  • Poster at the 18th annual meeting of the Organization for Human Brain Mapping. Jacob Y, Raz G, Madi A, Gilam G, Lin T, Ben-Jacob E, Hendler T. "Typifying emotional reappraisal by network graph causal organization". Organization for Human Brain Mapping (OHBM), Beijing, China, 2012.

  • Lecture at the 22nd Annual Conference on Neural Information Processing Systems. Jacob Y, Rapson A, Kafri M, Baruchi I, Hendler T and Ben-Jacob E. Lecture title: "Functional Holography (FH) Analysis Applied to fMRI Data". Neural Information Processing Systems (NIPS), Vancouver, Canada, December 2008.


  • Jacob Y, Winetraub Y, Raz G, Ben-Simon E, Okon-Singer H, Rosenberg-Katz K, Hendler T & Ben-Jacob E (2016). Dependency Network Analysis (DEPNA) Reveals Context Related Influence of Network Nodes. Scientific Reports 6, 27444, doi:10.1038/srep2744.

  • Jacob, A. Rapson, M. Kafri, I. Baruchi, T. Hendler and E. Ben-Jacob (2010). Revealing voxel correlation cliques by functional holography analysis of fMRI. Journal of Neuroscience Methods, Volume 191, Issue 1, 15 August 2010, Pages 126-137.

  • Jacob, D. Papo, T. Hendler and E. Ben-Jacob (2012). Functional Holography and Cliques in Brain Activation Patterns, Advances in Brain Imaging, Dr. Vikas Chaudhary (Ed.), ISBN: 978-953-307-955-4, InTech, Available from: http://www.intechopen.com/books/advances-in-brain-imaging/functional-holography-and-cliques-in-brain-activation-patterns.

  • R. Katz, T. Herman, Y. Jacob, G. Nir, J.M. Hausdorff (2012). Towards the detection of the neural correlates of Parkinson's disease sub-types using MRI. Movement Disorders. 01/2006; 27:S285-S285.

  • Raz, G., Y. Winetraub, Jacob, S. Kinreich, A. Maron-Katz, G. Shaham, I. Podlipsky, G. Gilam, E. Soreq and T. Hendler (2012). Portraying emotions at their unfolding: a multilayered approach for probing dynamics of neural networks. Neuroimage 60(2): 1448-1461.

  • Raz, G., Jacob, T. Gonen, Y. Winetraub, T. Flash, E. Soreq and T. Hendler (2013). Cry for her or cry with her: context-dependent dissociation of two modes of cinematic empathy reflected in network cohesion dynamics. Soc Cogn Affect Neurosci.

  • Rosenberg-Katz, K., T. Herman, Jacob, N. Giladi, T. Hendler and J. M. Hausdorff (2013). Gray matter atrophy distinguishes between Parkinson disease motor subtypes. Neurology 80(16): 1476-1484.

  • Shapira-Lichter, I., N. Oren, Jacob, M. Gruberger and T. Hendler (2013). Portraying the unique contribution of the default mode network to internally driven mnemonic processes. Proc Natl Acad Sci U S A 110(13): 4950-4955.

  • Herman, T., K. Rosenberg-Katz, Jacob, E. Auriel, T. Gurevich, N. Giladi and J. M. Hausdorff (2013). White matter hyperintensities in Parkinson's disease: do they explain the disparity between the postural instability gait difficulty and tremor dominant subtypes? PLoS One 8(1): e55193.

  • Herman, T., K. Rosenberg-Katz, Jacob, N. Giladi and J. M. Hausdorff (2013).Gray matter atrophy and freezing of gait in Parkinson's disease: Is the evidence black-on-white? Movement Disorders. 10/2013; DOI: 10.1002/mds.25697

  • Cavazza, M., F. Charles, Aranyi, J. Porteous, S. Gilroy, G. Raz, N. J. Keynan, A. Cohen, G. Jackont, Y. Jacob, E. Soreq, I. Klovatch, T. Hendler (2014). Towards Emotional Regulation through Neurofeedback. Conference: 5th Augmented Human International Conference (AH '14), At Kobe, Japan. DOI: 10.1145/2582051.2582093

  • Thaler, A., Artzi, A. Mirelman, Y. Jacob, R. C. Helmich, B. F. L. Nuenen, T. Gurevich, A. Orr-Urtreger, K. Marder, S. Bressman, B.R. Bloem, T. Hendler, N. Giladi, D. Ben Bashat (2014). A voxel-based morphometry and diffusion tensor imaging analysis of asymptomatic Parkinson's disease-related G2019S LRRK2 mutation carriers. Movement Disorders. DOI: 10.1002/mds.25827

  • Rosenberg-Katz K, Herman T, Jacob Y, Mirelman A, Giladi N, Hendler T, Hausdorff JM (2015). Fall risk is associated with amplified functional connectivity of the central executive network in patients with Parkinson’s disease. Journal of neurology 1-9.

  • Saar-Ashkenazy R, Veksler R, Guez J, Jacob Y, Shelef I, Shalev H, Friedman A, Cohen JE (2016) Breakdown of Inter-Hemispheric Connectivity Is Associated with Posttraumatic Symptomatology and Memory Impairment. PLoS One 11:e0144766.

  • Maidan I, Rosenberg-Katz K, Jacob Y, Giladi N, Deutsch J, Hausdorff J, Mirelman A (2016). Altered brain activation in complex walking conditions in patients with Parkinson's disease. Parkinsonism & Related Disorders.

  • Raz G, Touroutoglou A, Wilson-Mendenhall C, Gilam G, Lin T, Gonen T, Jacob Y, Atzil S, Admon R, Bleich-Cohen M, Maron-Katz A, Hendler T & Barrett L F (2016). Functional connectivity dynamics during film viewing reveal common networks for different emotional experiences. Cogn Affect Behav Neurosci.

  • Raz G*, Shpigelman L*, Jacob Y, Gonen T, Benjamini Y & Hendler T (2016). Psychophysiological whole-brain network clustering based on connectivity dynamics analysis in naturalistic conditions. Human Brain Mapping.

  • Rosenberg-Katz K, Herman T, Jacob Y, Kliper E, Giladi N & Hausdorff J M (2016). Subcortical volumes differ in Parkinson's disease motor subtypes: New insights into the pathophysiology of disparate symptoms. Frontiers in Human Neuroscience 10, doi:10.3389/fnhum.2016.00356.

  • Rosenberg-Katz K, Maidan I, Jacob Y, Giladi N, Mirelman A & Hausdorff J M (2016). Alterations in conflict monitoring are related to functional connectivity in Parkinson's disease. Cortex 82, 277-286.

  • Abraham, E., Gilam, G., Kanat-Maymon, Y., Jacob, Y., Zagoory-Sharon, O., Hendler, T., Feldman, R. & Jacob, O. Z.-S. Accepted Article Preview: Published ahead of advance online publication. (2017).


  • The Wolf Foundation scholarship for excellent PhD students 2016.


Research Categories: Behavioral Neuroscience, Brain Disorders, Cognitive neuroscience, Computational neuroscience