Publications

Publications | Dipanjan Roy

[Google Scholar Profile] [PubFact Bibliography] [Frontiers Profile]** **

**†: Corresponding author, **: Reviews/Opinion/Perspective/Commentary #: Joint Authorship**

Publications

2026

• Roy, D.**†**, & Banerjee, A. (2026). Competition in the brain: a conserved principle with lifespan consequences.Nature Communications Biology.

• Saluja, Kirti, Dipanjan Roy , and Arpan Banerjee. “When the inner clock fades: Interoceptive decline and consolidation of phase resetting in cortical rhythms by cardiac events underlie healthy lifespan ageing” bioRxiv (2025): 2024-05. doi: https://doi.org/10.1101/2024.05.31.596844 (Accepted in Imaging Neuroscience)

• Majumdar, G., Yazin, F., Banerjee, A., & Roy, D.**†** (2026). Aging increases orbitofrontal neural volatility during affective inference. Cerebral Cortex, 36(4), bhag053.

• Yadav, A., Banerjee, A., & Roy, D.**†** (2026). Differential role of beta band activity in a dual-task working memory paradigm under internally vs. externally directed cognition. Frontiers in Human Neuroscience, 20, 1791453.

• Bandyopadhyay, A., Chakravarthy, V. S. †, & Roy, D.**†** (2026). A mechanistic whole brain model to capture simultaneous EEG-fMRI data. Cerebral Cortex, 36(1), bhag002.

2025

• Saha, S., Chakraborty, P., Naskar, A., Roy, D.**†**, & Banerjee, A. (2025). Local homeostasis preserves global neural dynamics, compensating for structural loss during human lifespan aging. Nature Communications Biology, 8(1), 1251.
• Prestimulus Periodic and Aperiodic Neural Activity Shapes McGurk Perception (2025) Vinsea A V Singh, VinodhG Kumar, Arpan Banerjee, Dipanjan Roy DOI: https://doi.org/10.1101/2022.01.20.477172 https://www.biorxiv.org/content/10.1101/2022.01.20.477172v2 (accepted in eNeuro)
• Neural signatures of prioritization and facilitation in retrieving repeated items in Visual Working Memory Narvaria, Abhishek Singh, Arpan Banerjee, and Dipanjan Roy. (accepted in Frontiers in Human Neuroscience) https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2025.1642615/abstract
• Km Bhavna, Niniva Ghosh, Romi Banerjee, Dipanjan Roy A Lightweight, End-to-End Explainable, and Generalized attention-based Graph Neural Network model trained on high-order spatiotemporal organization of dynamic functional connectivity to classify Autistics from Neurotypicals**doi: **https://doi.org/10.1101/2024.07.17.24310610 (accepted in Network Neuroscience, MIT Press (2025)
• Chakraborty, Priyanka, Suman Saha, Gustavo Deco, Arpan Banerjee, and Dipanjan Roy. Contributions of short- and long-range white matter tracts in dynamic compensation with aging. Cerebral Cortex 35, no. 2 (2025): bhae496.
• Ravivarma, S., Behera, S., Roy, D. , & Ghosh-Roy, A. (2025). Synergistic control of axon regeneration and functional recovery by let-7 miRNA and Insulin signaling (IIs) pathways. Accepte d in Journal of Biosciences 2025.
• Majumdar, Gargi, Fahd Yazin, Arpan Banerjee, and Dipanjan Roy (2025). Aging distorts the representation of emotions by amplifying prefrontal variability. DOI:https://www.biorxiv.org/content/10.1101/2024.04.22.590523v1 (Revision stage)
• Vinsea A V Singh, Vinodh G Kumar, Arpan Banerjee, Dipanjan Roy Directional connectivity in prestimulus large-scale functional networks underpins McGurk perception (2025) (Under preparation)

2024

• Bhavna, Km, Niniva Ghosh, Romi Banerjee, and Dipanjan Roy Characterization of the Temporal Stability of ToM and Pain Functional Brain Networks Carry Distinct Developmental Signatures during Naturalistic Viewing.Sci Rep 14, 22479 (2024). https://doi.org/10.1038/s41598-024-72945-4.
• Yadav, Ankit, Arpan Banerjee, and Dipanjan Roy Differential Neural Correlates of EEG Mediate the Impact of Internally and Externally Directed Attention in a Dual-task Working Memory Paradigm. Proceedings of the Annual Meeting of the Cognitive Science Society , vol. 46. 2024.
• Bhavna, Km, Azman Akhtar, Romi Banerjee, and Dipanjan Roy. “Explainable Deep-Learning Framework: Decoding brain States and Prediction of Individual Performance in False-Belief Task at Early Childhood Stage.” Frontiers in Neuroinformatics 18: 1392661.
• End-to-End Explainable AI: Derived Theory-of-Mind Fingerprints to Distinguish Between Autistic and Typically Developing and Social Symptom Severity. Bhavna, K., Banerjee, R., Roy, D. (2024) bioRxiv , 2023-01. https://www.biorxiv.org/content/10.1101/2023.01.21.525016v1
• Diet-induced miRNAs regulate adult neurogenesis and functional activity of nascent neurons in the hypothalamus. **Srinivasan, Balakumar, Sarbani Samaddar, **Dipanjan Roy , and Sourav Banerjee. (2024) doi: https://doi.org/10.1101/2023.12.22.573029 (In preparation)

2023

• Chakraborty, Priyanka, Suman Saha, Gustavo Deco, Arpan Banerjee † , and Dipanjan Roy † _Structural-and-dynamical similarity predicts compensatory brain areas driving the post-lesion functional recovery mechanism.” _Cerebral Cortex Communications 4, no. 3 (2023): tgad012
• Sigar, Priyanka, Lucina Q. Uddin, and Dipanjan Roy. “Altered global modular organization of intrinsic functional connectivity in autism arises from atypical node‐level processing.” Autism Research 16.1 (2023): 66-83.
• Majumdar, Gargi, Fahd Yazin, Arpan Banerjee, and Dipanjan Roy. “Emotion dynamics as hierarchical Bayesian inference in time. “ Cerebral Cortex 33, no. 7 (2023): 3750-3772.
• Sastry, Nisha Chetana, Dipanjan Roy , and Arpan Banerjee. “Stability of sensorimotor network sculpts the dynamic repertoire of resting state over lifespan.” Cerebral Cortex 33.4 (2023): 1246-1262.
• Kumar, Neeraj, Amit Jaiswal, Dipanjan Roy , and Arpan Banerjee. “Effective networks mediate right hemispheric dominance of human 40 Hz auditory steady-state response. “ Neuropsychologia (2023): 108559.
• Gupta, D.S., Banerjee, A., Piras, F. and Roy, D.. Temporal structure of neural processes coupling sensory, motor and cognitive functions of the brain , volume II. Frontiers in Computational Neuroscience , 17 , 2023.

2022

• Whole Brain network models: From Physics to Bedside Anagh Pathak, Dipanjan Roy , Arpan Banerjee _Frontiers in Computational Neuroscience _(2022) DOI: 10.3389/fncom.2022.866517

• Dash, Arpita, Raju S. Bapi, Dipanjan Roy , and P. K. Vinod. “Characterizing the Dynamic Reorganization in Healthy Ageing and Classification of Brain Age.” In 2022International Joint Conference on Neural Networks(IJCNN), pp. 1-7. IEEE, 2022**

• Nair, Indrajith R., Guncha Bhasin, and Dipanjan Roy. “Hippocampus Maintains a Coherent Map Under Reward Feature–Landmark Cue Conflict “ Frontiers in Neural Circuits (2022): 31.

• Pathak, Anagh, Vivek Sharma, Dipanjan Roy , and Arpan Banerjee. ” Biophysical mechanism underlying compensatory preservation of neural synchrony over the adult lifespan.” Communications Biology 5, no. 1 (2022): 1-12.

2021

• Thuwal, Kusum, Arpan Banerjee, and Dipanjan Roy. “Aperiodic and periodic components of ongoing oscillatory brain dynamics link distinct functional aspects of cognition across adult lifespan. “ Eneuro 8, no. 5 (2021).

• Contextual Prediction Errors Reorganize Episodic Memories in Time. Fahd Yazin, Moumita Das, Arpan Banerjee, and **Dipanjan Roy† ** _Scientific Reports _2021 Jun 11;11(1):12364. doi: 10.1038/s41598-021-90990-1

• Multi-scale dynamic mean field model (MDMF) relates resting-state brain dynamics with local cortical excitatory-inhibitory neurotransmitter homeostasis Amit Naskar, Anirudh Vattikonda, Gustavo Deco, Dipanjan Roy, Arpan Banerjee Network Neuroscience , 1-55 2021

• Organization of directed functional connectivity among nodes of ventral attention network reveals the common network mechanisms underlying saliency processing across distinct spatial and spatio-temporal scales. **_Ghosh, P.,Roy, D.,** & Banerjee, A. (2021) NeuroImage , 231 , 117869._ doi: https://doi.org/10.1101/2019.12.25.888446

• P sychophysical data to study the brain network mechanisms involved in reorienting attention to salient events during goal directed visual discrimination and search tasks Ghosh, P.,**Roy, D.,** & Banerjee, A.****Data in Brief**_** _36, 107020 (2021)

• Atypical core-periphery brain dynamics in autism: Implications for symptom severity **Dipanjan Roy† **and Lucina Q. Uddin Network Neuroscience page 1-27 2021

• Reconfiguration of directed functional connectivity among neurocognitive networks with ageing: Considering the role of thalamo-cortical interactions Moumita Das, Vanshika Singh, Lucina Q. Uddin, Arpan Banerjee, _Dipanjan Roy†_ Cerebral Cortex (2021) Cerebral Cortex 31 (4), 1970-1986

2020

• VinodhG. Kumar, Shrey Dutta, Siddharth Talwar, Dipanjan Roy†, Arpan Banerjee **†_Biophysical mechanisms governing large-scale brain network dynamics underlying individual-specific variability of perception** _European Journal of Neuroscience 52 (7), 3746-3762(2020)

• _Sahoo B, Pathak A, Deco G, Banerjee A,Roy D. † _Lifespan associated changes in global patterns of coherent communication _Neuroimage 216, 116824(2020) _

• Arup Kumar Pal,Dipanjan Roy , G. Vinodh Kumar, Bipra Chatterjee, L. N. Sharma, Arpan Banerjee, and C.N. Gupta “Empirical Mode Decomposition Algorithms for Classification of Single-Channel EEG Manifesting McGurk Effect.“ International Conference Series on Intelligent Human-Computer Interaction 2020 Springer Nature Switzerland AG 2020 U. S. Tiwary and S. Chaudhury (Eds.): IHCI 2019, LNCS 11886 , pp. 49–60, 2020 March. https://doi.org/10.1007/978-3-030-44689-5_5

• Large-scale functional integration, rather than functional dissociation along dorsal and ventral streams, underlies visual perception and action _Dipanjan Ray, Neelambari Hazare,Dipanjan Roy, Arpan Banerjee Journal of Cognitive Neuroscience , 1-15 (202_0)

2019

• “Identification and Classification of Hubs in microRNA Target Gene Networks in Human Neural Stem/Progenitor Cells following Japanese Encephalitis Virus Infection.” Mukherjee, Sriparna, Irshad Akbar, Reshma Bhagat, Bibhabasu Hazra, Arindam Bhattacharyya, Pankaj Seth,Dipanjan Roy †, and Anirban Basu**†** . **_mSphere **4, no. 5 (2019): e00588-19 _

• “Atypical flexibility in dynamic functional connectivity quantifies the severity in autism spectrum disorder _” Harlalka, V., Bapi, R. S., Vinod, P. K., & Roy, D. DOI: 10.3389/fnhum.2019.00006 (2019) _

• Dutta, Shrey, Dipanjan Roy, and Arpan Banerjee. “Generative framework for dimensionality reduction of large scale network of non-linear dynamical systems driven by external input.” **New Journal of Physics **(2019), Volume 21, July 2019.

• Resting-State Dynamics Meets Anatomical Structure: Temporal Multiple Kernel Learning (tMKL) Model Govinda Surampudi, Joyneel Mishra, Bapi Raju Surampudi, Gustavo Deco, Avinash Sharma, andDipanjan Roy Neuroimage Volume 184, 1 January 2019, Pages 609-620 https://doi.org/10.1016/j.neuroimage.2018.09.054.

2018

• Age, disease and their interaction effects on the intrinsic connectivity of children and adolescents in Autism Spectrum Disorder using functional connectomics _ Vatika Harlalka et al. Brain Connectivity** ** http://doi.org/10.1089/brain.2018.0616 **Published in **Volume: 8 Issue 7: September 17, 2018, **Online Ahead of Print: **August 29, 2018 _

• Integrative network analysis reveals the cell-type-specific changes in the hippocampus of young, aging and Alzheimer’s disease _Vinay Lanke, S.T.R. Moolamalla, Dipanjan Roy and P.K.Vinod Frontiers in Aging Neuroscience _ DOI: 10.3389/fnagi.2018.00153

• Multiple Kernel Learning Model for Relating Structural and Functional Connectivity in the Brain Govinda Surampudi, Shruti Naik, Bapi Raju Surampudi, Viktor K.Jirsa, Avinash Sharma, andDipanjan Roy _Scientific reports_ 8.1 (2018): 3265.

• Distinct Neurobehavioral Mechanisms for Expectancy Violation and Value Updating _ Moumita Das and Dipanjan Ray Journal of Neuroscience 3 January 2018, 38 (1) 26-28; DOI: https://doi.org/10.1523/JNEUROSCI.2708-17.2017_

2017

• Segregation and Integration of cortical information processing underlying cross-modal perception _ Vinodh G.Kumar, Neeraj Kumar, Dipanjan Roy, Arpan Banerjee Multisensory Research (2017) DOI:10.1163/22134808-0000257_

• The neural substrate of group mental health: Insights from a multi-brain reference frame in functional neuroimaging _ Front. Psychol. 2017, Dipanjan Ray, Dipanjan Roy , Brahmdeep Sindhu, Pratap Sharan and Arpan Banerjee _

• Metastability in Senescence Trends in Cognitive Sciences 2017 Shruti Naik, Bapi S.Raju, Arpan Banerjee, Gustavo Deco, Dipanjan Roy Trends Cogn Sci. 2017 May 9. pii: S1364-6613(17)30079-7. DOI: 10.1016/j.tics.2017.04.007

• Metastability of Cortical BOLD Signals in Maturation and Senescence IEEE Xplore conference proceedings IJCNN 2017 Shruti Naik, Subbareddy Oota, Arpan Banerjee, DipanjanRoy, Bapi S.Raju DOI: **10.1109/IJCNN.2017.7966435Publisher: IEEE Electronic ISSN: 2161-4407**

2016

• Combining Multiscale Diffusion Kernels for Learning the Structural and Functional Brain Connectivity _Sriniwas Govinda Surampudi, Shruti Naik, Avinash Sharma, Raju Surampudi Bapi, **Dipanjan**_ **Roy** Oct. 2, 2016; doi: http://dx.doi.org/10.1101/078766. **Neural Information Processing Systems (_NIPS 2016)**, _Barcelona

• Large-scale functional brain networks underlying temporal integration of audio-visual speech perception: An EEG study _ G. Vinodh Kumar, Tamesh Halder, Amit K. Jaiswal, Abhishek Mukherjee, Dipanjan Roy, **and Arpan Banerjee **Front. Psychol.

  doi: 10.3389/fpsyg.2016.01558_

• Does the regulation of local excitation-inhibition balance aid in recovery of functional connectivity? A computational account _ Anirudh Vattikonda, Bapi Raju, Arpan Banerjee, Gustavo Deco, Dipanjan Roy Neuroimage. 2016 Aug 1;136:57-67. DOI:10.1016/j.neuroimage.2016.05.002. Epub 2016 May 10_

• **Neurophysiological Investigation of Context Modulation based on Musical Stimulus _ _Siddharth Mehrotra · Anuj Shukla ·Dipanjan Roy** July 2016 conference proceedings International conference in Music perception and Cognition ICMPC14 , July 5–9, 2016, San Francisco, USA.

• Promises and pitfalls of relating alteration of white matter pathways causing improvement in Cognitive performance _Cognitive Neuroscience Dipanjan Roy & V. S. Chandrasekhar Pammi (DOI: 10.1080/17588928.2016.1205577) July 2016 Cognitive Neuroscience _

• Near-infrared spectroscopy (NIRS) - electroencephalography (EEG) based brain-state dependent electrotherapy (BSDE) to facilitate post-stroke neurorehabilitation: inhibition–excitation balance hypothesis Snigdha Dagar, Bapi Raju, Subhajit Raychoudhury, Anirban Dutta, Dipanjan Roy _Front. Neurol._ 7:123. DOI:10.3389/fneur.2016.00123

Pre-2016

• Inferring network properties of cortical neurons with synaptic coupling and parameter dispersion _ D Roy , V Jirsa - Neural Masses and Fields: Modeling the Dynamics of …, Frontiers in Computational Neuroscience 2015 Edited by Karl Friston_

• Dipanjan Roy , Rodrigo Sigala, Michael Breakspear, Anthony Randal McIntosh, Viktor K. Jirsa, Gustavo Deco, Petra Ritter. _ Using the Virtual Brain to Reveal the Role of Oscillations and Plasticity in Shaping Brain’s Dynamical Landscape. Brain Connectivity Journal 01 oct 201 dx.doi.org/10.1089/brain.2014.0252.

• The role of alpha-rhythm states in perceptual learning: insights from experiments and computational models _(Rodrigo Sigala, Sebastian Haufe,Dipanjan Roy , Hubert R. Dinse, Petra Ritter) Frontiers in Computational Neuroscience 2014 March Front. Comput. Neurosci.

  doi:10.3389/fncom.2014.00036_.

• _Dipanjan Roy , Viktor K Jirsa Influence of network timescale on network dynamics with fast synapses and parameter dispersion for a mean field model composed of bursting units. Frontiers in Computational Neuroscience 2013 March Front. Comput. Neurosci. 7:20. doi:10.3389/fncom.2013.00020. _

• ** Afferent specificity, feature-specific connectivity influence orientation selectivity: A computational study in mouse primary visual cortex** . (Dipanjan Roy , Yenni Tjandra, Konstantin Mergenthaler, JeremyPetravicz, Caroline A. Runyan, Nathan R. Wilson, Mriganka Sur, Klaus Obermayer) http://adsabs.harvard.edu/cgi-bin/bib_query?arXiv:1301.0996 2013 Feb ArXiv preprint.

• Changes in V1 orientation tuning when blocking astrocytic glutamate transporters: models for extra- and Intra synaptic mechanisms._ Konstantin Mergenthaler*, Dipanjan Roy *, Jeremy Petravicz, Mriganka Sur and Klaus Obermayer BMC Neuroscience 2013, 14(Suppl 1): P298 doi:10.1186/1471-2202-14-S1-P298 * equal contribution _
• Brain state-dependent post-inhibitory rebound in entorhinal cortex interneurons.(Mohit H. Adhikari,Dipanjan Roy , Pascale P. Quilchini, Viktor K. Jirsa, Christophe Bernard) ** Journal of Neuroscience** 2012 May 9;32(19):6501-10.
• Phase description of Neural oscillators with global electric and synaptic coupling.(Dipanjan Roy , Anandamohan Ghosh, and Viktor K Jirsa). Phys. Rev. E 83, 051909 (2011)
• A simple model for bursting dynamics .(Anandamohan Ghosh, Dipanjan Roy, and Viktor K.Jirsa) Phys. Rev. E 80, 041930 (2009).

Past Publications

**Large-scale data analysis and nonlinear dynamics publications **

_The great oxidation of Earth’s atmosphere. (complex systems) Dipanjan Roy, Z.E.Musielak, and M.Cuntz (2010). Proceedings of the International Astronomical Union (2010), 5: 680-681. _

Search for supersymmetry using final states with one lepton, jets, and missing transverse momentum with the ATLAS detector in √s=7 TeV pp collisions. Phys. Rev. Lett. 106, 131802 (2011) © 2011 CERN, for the ATLAS Collaboration.

Charged-particle multiplicities in pp interactions at √s=900 GeV measured with the ATLAS detector at the LHC Physics Letters B, 688 (1). pp. 21-42. ISSN 0370-2693.© 2010 CERN, for the ATLAS Collaboration.

_The great oxidation of Earth’s Atmosphere: Contesting the Yoyo model via transition stability analysis (M.Cuntz, Dipanjan Roy and Z.E.Musielak) Astrophys. J. Lett., 706, L178-L182. _

Method to derive Lagrangian and Hamiltonian for a nonlinear dynamical system with variable coefficients. (Z.E.Musielak, Dipanjan Roy and L.D.Swift) Chaos, Solitons & Fractals, Volume 38, Issue 3, November 2008, Pages 894-902.

Standard and nonstandard Lagrangians for dissipative dynamical systems with variable coefficients (Z.E.Musielak and Dipanjan Roy) J. Phys. A: Math. Theor. 41 055205 (2007).

Generalized Lorenz models and their routes to chaos. III. Energy-conserving horizontal and vertical mode truncations. ( Dipanjan Roy and Z.Musielak) Chaos, Solitons & Fractals, Volume 33, Issue 3, August 2007, Pages 1064 -1070.

Generalized Lorenz models and their routes to chaos. I. Energy-conserving vertical mode truncations. (Dipanjan Roy and Z.E.Musielak) Chaos, Solitons & Fractals, Volume 32, Issue 3, May 2007, Pages 1038-1052.

Generalized Lorenz models and their routes to chaos. II. Energy-conserving horizontal mode truncations. (Dipanjan Roy and Z.E.Musielak) Chaos, Solitons & Fractals, Volume 31, Issue 3, February 2007, Pages 747-756.