The Complex Network Psychiatry (ComNetPsych) Lab
Our research is aimed at understanding how different networks communicate and influence each other and how their interactions underlie pathological brain states. Focusing on developing both network-theory-based MRI analysis methods as well as utilizing the ultra-high field 7-Tesla MRI for real-time neurofeedback procedures and to improve spatial resolution for better modeling of the whole-brain functional and structural networks. We develop and apply new methods to explore the underlying complex brain mechanisms of pathologies such as major depressive disorder (MDD) and general anxiety disorder (GAD) through the lens of systems network approach. Furthermore, we test the brain network correlates of behavioral and pathological differences transdiagnostically across different diverse psychiatric disorders. We then use these network properties to predict individual brain states employing advanced machine-learning and deep-learning algorithms to discern novel biomarkers to facilitate the development of novel prevention strategies, diagnostic tools, and interventions.
Current Projects
Multidimensional brain connectome features of depression and anxiety.
This study examines small sub-regions of limbic structures such as the hippocampus sub-fields and amygdala sub-nuclei, using combined structural and functional ultra-high field 7-Tesla MRI and connectomic analysis to determine how they relate to core symptoms of mood and anxiety disorders.
Network-based real-time neurofeedback using ultra-high field MRI to reduce rumination levels in depression.
This study implements the first real-time functional MRI neurofeedback (Rt-fMRI-NF) network-based protocol for up-regulation of the medial orbitofrontal cortex (MOFC) influence on the precuneus brain region in patients with major depressive disorder (MDD) to reduce rumination levels. This will allow for more accurate explicit brain connections modulation than the standard single brain region activity; creating a larger opportunity for target clinical neuromodulation treatment in individuals with depression.
Funding & Awards
- NIH/NIMH K01MH131855 (PI: Jacob), Multidimensional brain connectome features of depression and anxiety.
- ANRP Pilot Research Grant (PI: Jacob), Network-based real-time neurofeedback using ultra-high field MRI for treatment of depression.
- Friedman Brain Institute Innovator Award (PI: Jacob), Network-based real-time neurofeedback using ultra-high field MRI to reduce rumination levels in depression.
- NIH/NIMH R01MH116953 (Co-I: Jacob, PI: Murrough & Balchandani), Transdiagnostic Multimodal 7 Tesla MRI of the Locus Coeruleus in Human Pathological Anxiety.
- NIH/NIA R21AG076211 (Co-I: Jacob, PI: Balchandani), Use of 7T multimodal imaging to detect brain changes associated with light therapy in persons with mild cognitive impairment and mild Alzheimer’s Disease.
- NIH/NIDCR R56DE030680 (Co-I: Jacob, PI: Balchandani), Visualizing trigeminal neuralgia at 7 Tesla: Advancing etiological understanding to improve future clinical care.
Publications
PubMed- Jacob, Y., L. S. Morris, G. Verma, S. Rutter, P. Balchandani and J. W. Murrough (2022). “Altered hippocampus and amygdala subregion connectome hierarchy in major depressive disorder.” Transl Psychiatry 12: 209.
- Morris, L. S., M. Mehta, C. Ahn, M. Corniquel, G. Verma, B. Delman, P. R. Hof, Jacob, P. Balchandani and J. W. Murrough (2022). “Ventral tegmental area integrity measured with high-resolution 7-Tesla MRI relates to motivation across depression and anxiety diagnoses.” NeuroImage 264: 119704.
- Verma, G., Jacob, M. Jha, L.S. Morris, B.N. Delman, L. Marcuse, M. Fields and P. Balchandani (2022). ”Quantification of brain age using high-resolution 7 tesla MR Imaging and implications for epilepsy. “Epilepsy & Behavior Reports, 100530, 2589-9864.
- Alper, J., A.C. Seifert, G. Verma, K.H. Huang, Jacob, A. Al Qadi, J.W. Rutland, S. Patel, J. Bederson, R.K. Shrivastava, B.N. Delman and P. Balchandani (2021). “Leveraging high-resolution 7-tesla MRI to derive quantitative metrics for the trigeminal nerve and subnuclei of limbic structures in trigeminal neuralgia.” The journal of headache and pain, 22(1): 1-9.
- Nir, T., R. Raizman, I. Meningher, Jacob, K.H. Huang, A.E. Schwartz, J.W. Brallier, H. Ahn, P. Kundu, C.Y. Tang, B.N. Delman, … and Mincer, J. S. (2021). “Lateralisation of subcortical functional connectivity during and after general anaesthesia.” British journal of anaesthesia, 128(1):65-76.
- Nir, T., Jacob, K.H. Huang, A. E. Schwartz, J. W. Brallier, H. Ahn, P. Kundu, C. Y. Tang, B. N. Delman, P. J. McCormick, M. Sano, S. Deiner, M. G. Baxter and J. S. Mincer (2020). “Resting-state functional connectivity in early postanaesthesia recovery is characterised by globally reduced anticorrelations.” British Journal of Anaesthesia 125(4): 529-538.
- Jacob, Y., L. S. Morris, K.-H. Huang, M. Schneider, S. Rutter, G. Verma, J. W. Murrough and P. Balchandani (2020). “Neural correlates of rumination in major depressive disorder: A brain network ” NeuroImage: Clinical 25: 102142.
- Nir, T., Jacob, K.-H. Huang, A. E. Schwartz, J. W. Brallier, H. Ahn, P. Kundu, C. Y. Tang, B. N. Delman, P. J. McCormick, M. Sano, S. Deiner, M. G. Baxter and J. S. Mincer (2020). “Resting-state functional connectivity in early postanaesthesia recovery is characterised by globally reduced anticorrelations.” British Journal of Anaesthesia 125(4): 529-538.
- Droby, A., I. Maidan, Jacob, N. Giladi, J. M. Hausdorff and A. Mirelman (2020). “Distinct Effects of Motor Training on Resting-State Functional Networks of the Brain in Parkinson’s disease.” Neurorehabilitation and Neural Repair 1545968320940985.
- Maidan, I., A. Droby, Jacob, N. Giladi, J. M. Hausdorff and A. Mirelman (2020). “The neural correlates of falls: Alterations in large-scale resting-state networks in elderly fallers.” Gait & Posture 80: 56-61.
- Jacob, Y., K. Rosenberg-Katz, T. Gurevich, R. C. Helmich, B. R. Bloem, A. Orr-Urtreger, N. Giladi, A. Mirelman, T. Hendler and A. Thaler (2019). “Network abnormalities among non-manifesting Parkinson disease related LRRK2 mutation carriers.” Human Brain Mapping 40(8): 2546-2555.
- Maidan, I., Jacob, N. Giladi, J. M. Hausdorff and A. Mirelman (2019). “Altered organization of the dorsal attention network is associated with freezing of gait in Parkinson’s disease.” Parkinsonism & Related Disorders 63: 77-82.
- Jacob, Y., O. Shany, P. R. Goldin, J. J. Gross and T. Hendler (2018). “Reappraisal of Interpersonal Criticism in Social Anxiety Disorder: A Brain Network Hierarchy Perspective.” Cerebral Cortex: bhy181-
- Jacob, Y., G. Gilam, T. Lin, G. Raz and T. Hendler (2018). “Anger Modulates Influence Hierarchies Within and Between Emotional Reactivity and Regulation Networks.” Frontiers in Behavioral Neuroscience 12 (60).
- Hendler, T., G. Raz, S. Shimrit, Jacob, T. Lin, L. Roseman, W. M. Wahid, I. Kremer, M. Kupchik and M. Kotler (2018). “Social affective context reveals altered network dynamics in schizophrenia patients.” Translational psychiatry 8(1): 1-12.
- Abraham, E., G. Gilam, Y. Kanat-Maymon, Jacob, O. Zagoory-Sharon, T. Hendler and R. Feldman (2017). “The human coparental bond implicates distinct corticostriatal pathways: longitudinal impact on family formation and child well-being.” Neuropsychopharmacology 42(12): 2301-2313.
- Maidan, I., K. Rosenberg-Katz, Jacob, N. Giladi, J. M. Hausdorff and A. Mirelman (2017). “Disparate effects of training on brain activation in Parkinson disease.” Neurology 89(17): 1804-1810.
- Jacob, Y., Y. Winetraub, G. Raz, E. Ben-Simon, H. Okon-Singer, K. Rosenberg-Katz, T. Hendler and E. Ben-Jacob (2016). “Dependency Network Analysis (DEPNA) Reveals Context Related Influence of Brain Network Nodes.” Scientific Reports 6: 27444.
- Maidan, I., K. Rosenberg-Katz, Jacob, N. Giladi, J. Deutsch, J. Hausdorff and A. Mirelman (2016). ”Altered brain activation in complex walking conditions in patients with Parkinson’s disease.” Parkinsonism & related disorders 25: 91-96.
- Rosenberg-Katz, K., T. Herman, Jacob, E. Kliper, N. Giladi and J. M. Hausdorff (2016). “Subcortical volumes differ in Parkinson’s disease motor subtypes: new insights into the pathophysiology of disparate symptoms.” Frontiers in human neuroscience 10: 356.
- Rosenberg-Katz, K., I. Maidan, Jacob, N. Giladi, A. Mirelman and J. M. Hausdorff (2016). ”Alterations in conflict monitoring are related to functional connectivity in Parkinson’s disease.” cortex 82: 277-286.
- Raz, G., L. Shpigelman, Jacob, T. Gonen, Y. Benjamini and T. Hendler (2016). “Psychophysiological whole‐brain network clustering based on connectivity dynamics analysis in naturalistic conditions.” Human Brain Mapping 37(12): 4654-4672.
- Raz, G., A. Touroutoglou, C. Wilson-Mendenhall, G. Gilam, T. Lin, T. Gonen, Jacob, S. Atzil, R. Admon and M. Bleich-Cohen (2016). “Functional connectivity dynamics during film viewing reveal common networks for different emotional experiences.” Cognitive, Affective, & Behavioral Neuroscience 16 (4): 709-723.
- Rosenberg-Katz, K., T. Herman, Jacob, A. Mirelman, N. Giladi, T. Hendler and J. M. Hausdorff (2015). ”fall risk is associated with amplified functional connectivity of the central executive network in patients with Parkinson’s disease.” Journal of neurology 262(11): 2448-2456.
- Raz, G., Jacob, T. Gonen, Y. Winetraub, T. Flash, E. Soreq and T. Hendler (2014). “Cry for her or cry with her: context-dependent dissociation of two modes of cinematic empathy reflected in network cohesion dynamics.” Social cognitive and affective neuroscience 9(1): 30-38.
- Herman, T., K. Rosenberg‐Katz, Jacob, N. Giladi and J. M. Hausdorff (2014). “Gray matter atrophy and freezing of gait in Parkinson’s disease: Is the evidence black‐on‐white?” Movement Disorders 29 (1): 134-139.
- Thaler, A., M. Artzi, A. Mirelman, Jacob, R. C. Helmich, B. F. van Nuenen, T. Gurevich, A. Orr‐Urtreger, K. Marder and S. Bressman (2014). “A voxel‐based morphometry and diffusion tensor imaging analysis of asymptomatic Parkinson’s disease‐related G2019S LRRK2 mutation carriers.” Movement Disorders 29(6): 823-827.
- 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.” Proceedings of the National Academy of Sciences 110(13): 4950-4955.
- 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.
- 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.
- 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.
- Jacob, Y., 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 191 (1): 126-137.
Book Chapter
- Jacob, Y., D. Papo, E. Ben-Jacob, T. Hendler (2012). Functional Holography and Cliques in Brain Activation Patterns: INTECH Open Access Publisher.
Lab Members
Yael Jacob, Ph.D.
Principal Investigator
Yael is the Director of the Jacob Lab. She completed her B.Sc. in Physics, M.Sc. in Medical Science, and a Ph.D. in Neuroscience at the University of Tel Aviv, Israel. She then conducted a postdoctoral fellowship at the BioMedical Engineering and Imaging Institute (BMEII) at Icahn School of Medicine at Mount Sinai (ISMMS) and is now an Assistant Professor in the Department of Psychiatry at ISMMS. She has expertise in the development and utilization of new computational methods and algorithms using advanced brain imaging techniques for the study of complex brain network mechanisms that underlie behavioral and pathological differences in psychiatric disorders.
Gracee Butler
Clinical Research Coordinator
Gracee Butler completed her BA degree in Psychology with a minor in Human Systems Integration (HSI) from San Jose State University. In undergrad, she assisted on projects related to memory and cognition in studies investigating online learning in the CLIMB Lab; and upon graduation, building on her interests in human learning capabilities, worked as a summer, and then post-bac research intern through the CSLI program at Stanford in the Language and Cognition Lab. In joining the ComNetPsych lab and Depression and Anxiety Center (DAC) as a clinical research coordinator, Gracee works to build upon her interests in executive function, and cognitive control of emotional behavior, by assisting on several neuroimaging projects related to cognitive control using neuromodulation; thereafter pursuing a Ph.D. in Cognitive Psychology.
Collaborators:
Dr. Laurel Morris, Dr. Vincenzo Fiore, Dr. Karen Bachi, Prof. Priti Balchandani, Prof. James Murrough
Please contact us if you are interested in collaborating or joining the Lab.