Archana Venkataraman | Profiles RNS

Archana Venkataraman, PhD

Associate Professor

Boston University College of Engineering

Electrical and Computer Engineering

PhD, Massachusetts Institute of Technology
ME/MEng, Massachusetts Institute of Technology
SB/ScB, Massachusetts Institute of Technology

Pronouns: she/her/hers

Websites

	Google Scholar
	The Neural Systems Analysis Laboratory

Archana Venkataraman is an Associate Professor of Electrical and Computer Engineering at Boston University. From 2016-2022, she was an Assistant Professor at Johns Hopkins University. Dr. Venkataraman directs the Neural Systems Analysis Laboratory and is affiliated with the Department of Biostatistics, the Department of Biomedical Engineering, the Center for Brain Recovery, and the Rafik B. Hariri Institute for Computing at Boston University. Dr. Venkataraman’s research lies at the intersection of biomedical imaging, artificial intelligence, and clinical neuroscience. Her work has yielded novel insights in to debilitating neurological disorders, such as autism, schizophrenia, and epilepsy, with the long-term goal of improving patient care. Dr. Venkataraman completed her B.S., M.Eng. and Ph.D. in Electrical Engineering at MIT in 2006, 2007 and 2012, respectively. She is a recipient of the MIT Provost Presidential Fellowship, the Siebel Scholarship, the National Defense Science and Engineering Graduate Fellowship, the NIH Advanced Multimodal Neuroimaging Training Grant, numerous best paper awards, and the National Science Foundation CAREER award. Dr. Venkataraman was also named by MIT Technology Review as one of 35 Innovators Under 35 in 2019.

Associate Professor
Boston University School of Public Health
Biostatistics

BU Research

Machine Learning Methods for Predicting Post-Stroke Aphasia and Language Recovery
09/01/2025 - 08/31/2030 (Multi-PI)
PI: Archana Venkataraman, PhD
NIH/National Institute on Deafness & Communication Disorders
1R01DC022565-01A1

A Modular Framework for Data-Driven Neurogenetics to Predict Complex and Multidimensional Autistic Phenotypes
06/01/2023 - 05/31/2028 (PI)
NIH/National Institute of Child Health & Human Development
5R01HD108790-03

CAREER: Small Data in a Big World: Balancing Interpretability and Generalizability for Data Integration in Clinical Neuroscience
01/01/2023 - 05/31/2025 (PI)
National Science Foundation
IIS-2322823

Statistical methods for structural and functional integration in multi-modal neuroimaging data
01/15/2023 - 03/31/2025 (Subcontract PI)
The Johns Hopkins University NIH NIBIB
5R01EB029977-04

Automated Presurgical Language Mapping via Deep Learning for Multimodal Brain Connectivity
09/01/2023 - 08/31/2024 (Subcontract PI)
The Johns Hopkins University NIH NCI
5R21CA263804-02

Title

Yr	Title	Project-Sub Proj	Pubs

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

iCite Website Copy PMIDs To Clipboard

Venkataraman A, Figueroa EE, Castro J, Navarro FMC, Soota D, Brierley SM, Julius D, Ingraham HA. A Cellular Basis for Heightened Gut Sensitivity in Females. bioRxiv. 2025 May 28. PMID: 40501885; PMCID: PMC12154615; DOI: 10.1101/2025.05.23.654927;

Chen Z, Wang J, Venkataraman A. QID2: An Image-Conditioned Diffusion Model for Q-space Up-sampling of DWI Data. Comput Diffus MRI. 2025; 15171:119-131. PMID: 40444168; PMCID: PMC12122016; DOI: 10.1007/978-3-031-86920-4_11;

Shama DM, Venkataraman A. Uncertainty-Aware Bayesian Deep Learning with Noisy Training Labels for Epileptic Seizure Detection. Uncertain Safe Util Mach Learn Med Imaging (2024). 2025; 15167:3-13. PMID: 40433566; PMCID: PMC12107695; DOI: 10.1007/978-3-031-73158-7_1;

Ghosal S, Schatz MC, Venkataraman A. BEATRICE: Bayesian fine-mapping from summary data using deep variational inference. Bioinformatics. 2024 Oct 01; 40(10). PMID: 39360993; PMCID: PMC11496888; DOI: 10.1093/bioinformatics/btae590;

Srinivasan B, Venkataraman A, Raja SN. Artificial intelligence and pain management: cautiously optimistic. Pain Manag. 2024; 14(7):331-333. PMID: 39259215; PMCID: PMC11485867; DOI: 10.1080/17581869.2024.2392483;

Chen Z, Varkanitsa M, Ishwar P, Konrad J, Betke M, Kiran S, Venkataraman A. A Lesion-aware Edge-based Graph Neural Network for Predicting Language Ability in Patients with Post-stroke Aphasia. ArXiv. 2024 Sep 03. PMID: 39279836; PMCID: PMC11398550

Nandakumar N, Hsu D, Ahmed R, Venkataraman A. A DEEP LEARNING FRAMEWORK TO CHARACTERIZE NOISY LABELS IN EPILEPTOGENIC ZONE LOCALIZATION USING FUNCTIONAL CONNECTIVITY. Proc IEEE Int Symp Biomed Imaging. 2024 May; 2024. PMID: 39464200; PMCID: PMC11500830; DOI: 10.1109/isbi56570.2024.10635583;

Albarqouni S, Baumgartner C, Dou Q, Konukoglu E, Menze B, Venkataraman A. Editorial for the Special Issue on the 2022 Medical Imaging with Deep Learning Conference. Med Image Anal. 2024 Dec; 98:103308. PMID: 39214771

Ghosal S, Schatz MC, Venkataraman A. BEATRICE: Bayesian Fine-mapping from Summary Data using Deep Variational Inference. bioRxiv. 2023 Dec 14. PMID: 36993396; PMCID: PMC10055416; DOI: 10.1101/2023.03.24.534116;

Shama DM, Jing J, Venkataraman A. DeepSOZ: A Robust Deep Model for Joint Temporal and Spatial Seizure Onset Localization from Multichannel EEG Data. Med Image Comput Comput Assist Interv. 2023 Oct; 2023:184-194. PMID: 39526288; PMCID: PMC11545985; DOI: 10.1007/978-3-031-43993-3_18;

Showing 10 of 55 results. Show More

Kobayashi Y, Peng YC, Yu E, Bush B, Jung YH, Murphy Z, Goeddel L, Whitman G, Venkataraman A, Brown CH. Prediction of lactate concentrations after cardiac surgery using machine learning and deep learning approaches. Front Med (Lausanne). 2023; 10:1165912. PMID: 37790131; PMCID: PMC10543087; DOI: 10.3389/fmed.2023.1165912;

Nandakumar N, Hsu D, Ahmed R, Venkataraman A. A DEEP LEARNING FRAMEWORK TO LOCALIZE THE EPILEPTOGENIC ZONE FROM DYNAMIC FUNCTIONAL CONNECTIVITY USING A COMBINED GRAPH CONVOLUTIONAL AND TRANSFORMER NETWORK. Proc IEEE Int Symp Biomed Imaging. 2023 Apr; 2023. PMID: 39450418; PMCID: PMC11500832; DOI: 10.1109/isbi53787.2023.10230831;

Wu S, Venkataraman A, Ghosal S. GIRUS-net: A Multimodal Deep Learning Model Identifying Imaging and Genetic Biomarkers Linked to Alzheimer's Disease Severity. Annu Int Conf IEEE Eng Med Biol Soc. 2023 Jul; 2023:1-4. PMID: 38083359; PMCID: PMC11005466; DOI: 10.1109/EMBC40787.2023.10341000;

D'Souza NS, Venkataraman A. mSPD-NN: A Geometrically Aware Neural Framework for Biomarker Discovery from Functional Connectomics Manifolds. Inf Process Med Imaging. 2023 Jun; 2023:53-65. PMID: 39469414; PMCID: PMC11513587

D'Souza NS, Venkataraman A. mSPD-NN: A Geometrically Aware Neural Framework for Biomarker Discovery from Functional Connectomics Manifolds. ArXiv. 2023 Mar 27. PMID: 37033457; PMCID: PMC10081354

Bayrer JR, Castro J, Venkataraman A, Touhara KK, Rossen ND, Morrie RD, Maddern J, Hendry A, Braverman KN, Garcia-Caraballo S, Schober G, Brizuela M, Castro Navarro FM, Bueno-Silva C, Ingraham HA, Brierley SM, Julius D. Gut enterochromaffin cells drive visceral pain and anxiety. Nature. 2023 Apr; 616(7955):137-142. PMID: 36949192; PMCID: PMC10827380; DOI: 10.1038/s41586-023-05829-8;

Currey D, Craley J, Hsu D, Ahmed R, Venkataraman A. EPViz: A flexible and lightweight visualizer to facilitate predictive modeling for multi-channel EEG. PLoS One. 2023; 18(2):e0282268. PMID: 36848345; PMCID: PMC9970073; DOI: 10.1371/journal.pone.0282268;

Pati S, Baid U, Edwards B, Sheller M, Wang SH, Reina GA, Foley P, Gruzdev A, Karkada D, Davatzikos C, Sako C, Ghodasara S, Bilello M, Mohan S, Vollmuth P, Brugnara G, Preetha CJ, Sahm F, Maier-Hein K, Zenk M, Bendszus M, Wick W, Calabrese E, Rudie J, Villanueva-Meyer J, Cha S, Ingalhalikar M, Jadhav M, Pandey U, Saini J, Garrett J, Larson M, Jeraj R, Currie S, Frood R, Fatania K, Huang RY, Chang K, Balaña C, Capellades J, Puig J, Trenkler J, Pichler J, Necker G, Haunschmidt A, Meckel S, Shukla G, Liem S, Alexander GS, Lombardo J, Palmer JD, Flanders AE, Dicker AP, Sair HI, Jones CK, Venkataraman A, Jiang M, So TY, Chen C, Heng PA, Dou Q, Kozubek M, Lux F, Michálek J, Matula P, Kerkovský M, Koprivová T, Dostál M, Vybíhal V, Vogelbaum MA, Mitchell JR, Farinhas J, Maldjian JA, Yogananda CGB, Pinho MC, Reddy D, Holcomb J, Wagner BC, Ellingson BM, Cloughesy TF, Raymond C, Oughourlian T, Hagiwara A, Wang C, To MS, Bhardwaj S, Chong C, Agzarian M, Falcão AX, Martins SB, Teixeira BCA, Sprenger F, Menotti D, Lucio DR, LaMontagne P, Marcus D, Wiestler B, Kofler F, Ezhov I, Metz M, Jain R, Lee M, Lui YW, McKinley R, Slotboom J, Radojewski P, Meier R, Wiest R, Murcia D, Fu E, Haas R, Thompson J, Ormond DR, Badve C, Sloan AE, Vadmal V, Waite K, Colen RR, Pei L, Ak M, Srinivasan A, Bapuraj JR, Rao A, Wang N, Yoshiaki O, Moritani T, Turk S, Lee J, Prabhudesai S, Morón F, Mandel J, Kamnitsas K, Glocker B, Dixon LVM, Williams M, Zampakis P, Panagiotopoulos V, Tsiganos P, Alexiou S, Haliassos I, Zacharaki EI, Moustakas K, Kalogeropoulou C, Kardamakis DM, Choi YS, Lee SK, Chang JH, Ahn SS, Luo B, Poisson L, Wen N, Tiwari P, Verma R, Bareja R, Yadav I, Chen J, Kumar N, Smits M, van der Voort SR, Alafandi A, Incekara F, Wijnenga MMJ, Kapsas G, Gahrmann R, Schouten JW, Dubbink HJ, Vincent AJPE, van den Bent MJ, French PJ, Klein S, Yuan Y, Sharma S, Tseng TC, Adabi S, Niclou SP, Keunen O, Hau AC, Vallières M, Fortin D, Lepage M, Landman B, Ramadass K, Xu K, Chotai S, Chambless LB, Mistry A, Thompson RC, Gusev Y, Bhuvaneshwar K, Sayah A, Bencheqroun C, Belouali A, Madhavan S, Booth TC, Chelliah A, Modat M, Shuaib H, Dragos C, Abayazeed A, Kolodziej K, Hill M, Abbassy A, Gamal S, Mekhaimar M, Qayati M, Reyes M, Park JE, Yun J, Kim HS, Mahajan A, Muzi M, Benson S, Beets-Tan RGH, Teuwen J, Herrera-Trujillo A, Trujillo M, Escobar W, Abello A, Bernal J, Gómez J, Choi J, Baek S, Kim Y, Ismael H, Allen B, Buatti JM, Kotrotsou A, Li H, Weiss T, Weller M, Bink A, Pouymayou B, Shaykh HF, Saltz J, Prasanna P, Shrestha S, Mani KM, Payne D, Kurc T, Pelaez E, Franco-Maldonado H, Loayza F, Quevedo S, Guevara P, Torche E, Mendoza C, Vera F, Ríos E, López E, Velastin SA, Ogbole G, Soneye M, Oyekunle D, Odafe-Oyibotha O, Osobu B, Shu'aibu M, Dorcas A, Dako F, Simpson AL, Hamghalam M, Peoples JJ, Hu R, Tran A, Cutler D, Moraes FY, Boss MA, Gimpel J, Veettil DK, Schmidt K, Bialecki B, Marella S, Price C, Cimino L, Apgar C, Shah P, Menze B, Barnholtz-Sloan JS, Martin J, Bakas S. Author Correction: Federated learning enables big data for rare cancer boundary detection. Nat Commun. 2023 Jan 26; 14(1):436. PMID: 36702828; PMCID: PMC9879935; DOI: 10.1038/s41467-023-36188-7;

Nandakumar N, Hsu D, Ahmed R, Venkataraman A. DeepEZ: A Graph Convolutional Network for Automated Epileptogenic Zone Localization From Resting-State fMRI Connectivity. IEEE Trans Biomed Eng. 2023 Jan; 70(1):216-227. PMID: 35776823; PMCID: PMC9841829; DOI: 10.1109/TBME.2022.3187942;

Venkataraman A, Dias BG. Expanding the canon: An inclusive neurobiology of thalamic and subthalamic fear circuits. Neuropharmacology. 2023 Mar 15; 226:109380. PMID: 36572176; PMCID: PMC9984284; DOI: 10.1016/j.neuropharm.2022.109380;

Pati S, Baid U, Edwards B, Sheller M, Wang SH, Reina GA, Foley P, Gruzdev A, Karkada D, Davatzikos C, Sako C, Ghodasara S, Bilello M, Mohan S, Vollmuth P, Brugnara G, Preetha CJ, Sahm F, Maier-Hein K, Zenk M, Bendszus M, Wick W, Calabrese E, Rudie J, Villanueva-Meyer J, Cha S, Ingalhalikar M, Jadhav M, Pandey U, Saini J, Garrett J, Larson M, Jeraj R, Currie S, Frood R, Fatania K, Huang RY, Chang K, Balaña C, Capellades J, Puig J, Trenkler J, Pichler J, Necker G, Haunschmidt A, Meckel S, Shukla G, Liem S, Alexander GS, Lombardo J, Palmer JD, Flanders AE, Dicker AP, Sair HI, Jones CK, Venkataraman A, Jiang M, So TY, Chen C, Heng PA, Dou Q, Kozubek M, Lux F, Michálek J, Matula P, Kerkovský M, Koprivová T, Dostál M, Vybíhal V, Vogelbaum MA, Mitchell JR, Farinhas J, Maldjian JA, Yogananda CGB, Pinho MC, Reddy D, Holcomb J, Wagner BC, Ellingson BM, Cloughesy TF, Raymond C, Oughourlian T, Hagiwara A, Wang C, To MS, Bhardwaj S, Chong C, Agzarian M, Falcão AX, Martins SB, Teixeira BCA, Sprenger F, Menotti D, Lucio DR, LaMontagne P, Marcus D, Wiestler B, Kofler F, Ezhov I, Metz M, Jain R, Lee M, Lui YW, McKinley R, Slotboom J, Radojewski P, Meier R, Wiest R, Murcia D, Fu E, Haas R, Thompson J, Ormond DR, Badve C, Sloan AE, Vadmal V, Waite K, Colen RR, Pei L, Ak M, Srinivasan A, Bapuraj JR, Rao A, Wang N, Yoshiaki O, Moritani T, Turk S, Lee J, Prabhudesai S, Morón F, Mandel J, Kamnitsas K, Glocker B, Dixon LVM, Williams M, Zampakis P, Panagiotopoulos V, Tsiganos P, Alexiou S, Haliassos I, Zacharaki EI, Moustakas K, Kalogeropoulou C, Kardamakis DM, Choi YS, Lee SK, Chang JH, Ahn SS, Luo B, Poisson L, Wen N, Tiwari P, Verma R, Bareja R, Yadav I, Chen J, Kumar N, Smits M, van der Voort SR, Alafandi A, Incekara F, Wijnenga MMJ, Kapsas G, Gahrmann R, Schouten JW, Dubbink HJ, Vincent AJPE, van den Bent MJ, French PJ, Klein S, Yuan Y, Sharma S, Tseng TC, Adabi S, Niclou SP, Keunen O, Hau AC, Vallières M, Fortin D, Lepage M, Landman B, Ramadass K, Xu K, Chotai S, Chambless LB, Mistry A, Thompson RC, Gusev Y, Bhuvaneshwar K, Sayah A, Bencheqroun C, Belouali A, Madhavan S, Booth TC, Chelliah A, Modat M, Shuaib H, Dragos C, Abayazeed A, Kolodziej K, Hill M, Abbassy A, Gamal S, Mekhaimar M, Qayati M, Reyes M, Park JE, Yun J, Kim HS, Mahajan A, Muzi M, Benson S, Beets-Tan RGH, Teuwen J, Herrera-Trujillo A, Trujillo M, Escobar W, Abello A, Bernal J, Gómez J, Choi J, Baek S, Kim Y, Ismael H, Allen B, Buatti JM, Kotrotsou A, Li H, Weiss T, Weller M, Bink A, Pouymayou B, Shaykh HF, Saltz J, Prasanna P, Shrestha S, Mani KM, Payne D, Kurc T, Pelaez E, Franco-Maldonado H, Loayza F, Quevedo S, Guevara P, Torche E, Mendoza C, Vera F, Ríos E, López E, Velastin SA, Ogbole G, Soneye M, Oyekunle D, Odafe-Oyibotha O, Osobu B, Shu'aibu M, Dorcas A, Dako F, Simpson AL, Hamghalam M, Peoples JJ, Hu R, Tran A, Cutler D, Moraes FY, Boss MA, Gimpel J, Veettil DK, Schmidt K, Bialecki B, Marella S, Price C, Cimino L, Apgar C, Shah P, Menze B, Barnholtz-Sloan JS, Martin J, Bakas S. Federated learning enables big data for rare cancer boundary detection. Nat Commun. 2022 Dec 05; 13(1):7346. PMID: 36470898; PMCID: PMC9722782; DOI: 10.1038/s41467-022-33407-5;

Tang B, Zhao Y, Venkataraman A, Tsapkini K, Lindquist MA, Pekar J, Caffo B. Differences in functional connectivity distribution after transcranial direct-current stimulation: A connectivity density point of view. Hum Brain Mapp. 2023 Jan; 44(1):170-185. PMID: 36371779; PMCID: PMC9783448; DOI: 10.1002/hbm.26112;

Craley J, Jouny C, Johnson E, Hsu D, Ahmed R, Venkataraman A. Automated seizure activity tracking and onset zone localization from scalp EEG using deep neural networks. PLoS One. 2022; 17(2):e0264537. PMID: 35226686; PMCID: PMC8884583; DOI: 10.1371/journal.pone.0264537;

Lone SR, Potdar S, Venkataraman A, Sharma N, Kulkarni R, Rao S, Mishra S, Sheeba V, Sharma VK. Mechanosensory Stimulation via Nanchung Expressing Neurons Can Induce Daytime Sleep in Drosophila. J Neurosci. 2021 Nov 10; 41(45):9403-9418. PMID: 34635540; PMCID: PMC8580144; DOI: 10.1523/JNEUROSCI.0400-21.2021;

Nandakumar N, Manzoor K, Agarwal S, Pillai JJ, Gujar SK, Sair HI, Venkataraman A. Automated eloquent cortex localization in brain tumor patients using multi-task graph neural networks. Med Image Anal. 2021 Dec; 74:102203. PMID: 34474216; PMCID: PMC9245684; DOI: 10.1016/j.media.2021.102203;

Kobayashi Y, Bukowski A, Das S, Espenel C, Gomez-Frittelli J, Wagle N, Bakshi S, Saha M, Kaltschmidt JA, Venkataraman A, Kulkarni S. COUNTEN, an AI-Driven Tool for Rapid and Objective Structural Analyses of the Enteric Nervous System. eNeuro. 2021; 8(4). PMID: 34266963; PMCID: PMC8328274; DOI: 10.1523/ENEURO.0092-21.2021;

Nandakumar N, Manzoor K, Agarwal S, Pillai JJ, Gujar SK, Sair HI, Venkataraman A. A Multi-Scale Spatial and Temporal Attention Network on Dynamic Connectivity to Localize The Eloquent Cortex in Brain Tumor Patients. Inf Process Med Imaging. 2021 Jun; 12729:241-252. PMID: 35706778; PMCID: PMC9195149; DOI: 10.1007/978-3-030-78191-0_19;

Ghosal S, Chen Q, Pergola G, Goldman AL, Ulrich W, Berman KF, Blasi G, Fazio L, Rampino A, Bertolino A, Weinberger DR, Mattay VS, Venkataraman A. A generative-discriminative framework that integrates imaging, genetic, and diagnosis into coupled low dimensional space. Neuroimage. 2021 Sep; 238:118200. PMID: 34118398; DOI: 10.1016/j.neuroimage.2021.118200;

Venkataraman A, Hunter SC, Dhinojwala M, Ghebrezadik D, Guo J, Inoue K, Young LJ, Dias BG. Incerto-thalamic modulation of fear via GABA and dopamine. Neuropsychopharmacology. 2021 Aug; 46(9):1658-1668. PMID: 33864008; PMCID: PMC8280196; DOI: 10.1038/s41386-021-01006-5;

Liu X, Akiyoshi K, Nakano M, Brady K, Bush B, Nadkarni R, Venkataraman A, Koehler RC, Lee JK, Hogue CW, Czosnyka M, Smielewski P, Brown CH. Determining Thresholds for Three Indices of Autoregulation to Identify the Lower Limit of Autoregulation During Cardiac Surgery. Crit Care Med. 2021 Apr 01; 49(4):650-660. PMID: 33278074; PMCID: PMC7979429; DOI: 10.1097/CCM.0000000000004737;

Schirmer MD, Venkataraman A, Rekik I, Kim M, Mostofsky SH, Nebel MB, Rosch K, Seymour K, Crocetti D, Irzan H, Hütel M, Ourselin S, Marlow N, Melbourne A, Levchenko E, Zhou S, Kunda M, Lu H, Dvornek NC, Zhuang J, Pinto G, Samal S, Zhang J, Bernal-Rusiel JL, Pienaar R, Chung AW. Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge. Med Image Anal. 2021 May; 70:101972. PMID: 33677261; PMCID: PMC9115580; DOI: 10.1016/j.media.2021.101972;

Craley J, Johnson E, Venkataraman A. A Spatio-Temporal Model of Seizure Propagation in Focal Epilepsy. IEEE Trans Med Imaging. 2020 May; 39(5):1404-1418. PMID: 31675325; DOI: 10.1109/TMI.2019.2950252;

Venkataraman A, Brody N, Reddi P, Guo J, Gordon Rainnie D, Dias BG. Modulation of fear generalization by the zona incerta. Proc Natl Acad Sci U S A. 2019 Apr 30; 116(18):9072-9077. PMID: 30967506; PMCID: PMC6500173; DOI: 10.1073/pnas.1820541116;

Meloni EG, Kaye KT, Venkataraman A, Carlezon WA. PACAP increases Arc/Arg 3.1 expression within the extended amygdala after fear conditioning in rats. Neurobiol Learn Mem. 2019 Jan; 157:24-34. PMID: 30458282; PMCID: PMC6494622; DOI: 10.1016/j.nlm.2018.11.011;

Guzmán-Ramos K, Venkataraman A, Morin JP, Osorio-Gómez D, Bermúdez-Rattoni F. Differential requirement of de novo Arc protein synthesis in the insular cortex and the amygdala for safe and aversive taste long-term memory formation. Behav Brain Res. 2018 Apr 16; 342:89-93. PMID: 29326059; DOI: 10.1016/j.bbr.2018.01.006;

Rangaprakash D, Dretsch MN, Venkataraman A, Katz JS, Denney TS, Deshpande G. Identifying disease foci from static and dynamic effective connectivity networks: Illustration in soldiers with trauma. Hum Brain Mapp. 2018 Jan; 39(1):264-287. PMID: 29058357; PMCID: PMC6866312; DOI: 10.1002/hbm.23841;

Zhao S, Rangaprakash D, Venkataraman A, Liang P, Deshpande G. Investigating Focal Connectivity Deficits in Alzheimer's Disease Using Directional Brain Networks Derived from Resting-State fMRI. Front Aging Neurosci. 2017; 9:211. PMID: 28729831; PMCID: PMC5498531; DOI: 10.3389/fnagi.2017.00211;

van Noordt S, Wu J, Venkataraman A, Larson MJ, South M, Crowley MJ. Inter-trial Coherence of Medial Frontal Theta Oscillations Linked to Differential Feedback Processing in Youth and Young Adults with Autism. Res Autism Spectr Disord. 2017 May; 37:1-10. PMID: 28983326; PMCID: PMC5624320; DOI: 10.1016/j.rasd.2017.01.011;

Venkataraman A, Yang DY, Dvornek N, Staib LH, Duncan JS, Pelphrey KA, Ventola P. Pivotal response treatment prompts a functional rewiring of the brain among individuals with autism spectrum disorder. Neuroreport. 2016 Sep 28; 27(14):1081-5. PMID: 27532879; PMCID: PMC5007196; DOI: 10.1097/WNR.0000000000000662;

Venkataraman A, Yang DY, Pelphrey KA, Duncan JS. Bayesian Community Detection in the Space of Group-Level Functional Differences. IEEE Trans Med Imaging. 2016 Aug; 35(8):1866-82. PMID: 26955022; PMCID: PMC5510046; DOI: 10.1109/TMI.2016.2536559;

Meloni EG, Venkataraman A, Donahue RJ, Carlezon WA. Bi-directional effects of pituitary adenylate cyclase-activating polypeptide (PACAP) on fear-related behavior and c-Fos expression after fear conditioning in rats. Psychoneuroendocrinology. 2016 Feb; 64:12-21. PMID: 26590791; PMCID: PMC4698186; DOI: 10.1016/j.psyneuen.2015.11.003;

Donahue RJ, Venkataraman A, Carroll FI, Meloni EG, Carlezon WA. Pituitary Adenylate Cyclase-Activating Polypeptide Disrupts Motivation, Social Interaction, and Attention in Male Sprague Dawley Rats. Biol Psychiatry. 2016 Dec 15; 80(12):955-964. PMID: 26229039; PMCID: PMC4684793; DOI: 10.1016/j.biopsych.2015.06.013;

Venkataraman A, Duncan JS, Yang DY, Pelphrey KA. An unbiased Bayesian approach to functional connectomics implicates social-communication networks in autism. Neuroimage Clin. 2015; 8:356-66. PMID: 26106561; PMCID: PMC4474177; DOI: 10.1016/j.nicl.2015.04.021;

Lone SR, Venkataraman A, Srivastava M, Potdar S, Sharma VK. Or47b-neurons promote male-mating success in Drosophila. Biol Lett. 2015 May; 11(5):20150292. PMID: 26018835; PMCID: PMC4455749; DOI: 10.1098/rsbl.2015.0292;

Venkataraman A, Almas K. Rheumatoid Arthritis and Periodontal Disease. An Update. N Y State Dent J. 2015; 81(5):30-6. PMID: 26521325

Venkataraman A, Kubicki M, Golland P. From connectivity models to region labels: identifying foci of a neurological disorder. IEEE Trans Med Imaging. 2013 Nov; 32(11):2078-98. PMID: 23864168; PMCID: PMC4278385; DOI: 10.1109/TMI.2013.2272976;

Sweet A, Venkataraman A, Stufflebeam SM, Liu H, Tanaka N, Madsen J, Golland P. Detecting epileptic regions based on global brain connectivity patterns. Med Image Comput Comput Assist Interv. 2013; 16(Pt 1):98-105. PMID: 24505654; PMCID: PMC3960920; DOI: 10.1007/978-3-642-40811-3_13;

Venkataraman A, Whitford TJ, Westin CF, Golland P, Kubicki M. Whole brain resting state functional connectivity abnormalities in schizophrenia. Schizophr Res. 2012 Aug; 139(1-3):7-12. PMID: 22633528; PMCID: PMC3393792; DOI: 10.1016/j.schres.2012.04.021;

Venkataraman A, Kubicki M, Golland P. From brain connectivity models to identifying foci of a neurological disorder. Med Image Comput Comput Assist Interv. 2012; 15(Pt 1):715-22. PMID: 23285615; PMCID: PMC3539203; DOI: 10.1007/978-3-642-33415-3_88;

Venkataraman A, Rathi Y, Kubicki M, Westin CF, Golland P. Joint modeling of anatomical and functional connectivity for population studies. IEEE Trans Med Imaging. 2012 Feb; 31(2):164-82. PMID: 21878411; PMCID: PMC4395500; DOI: 10.1109/TMI.2011.2166083;

Venkataraman A, Rathi Y, Kubicki M, Westin CF, Golland P. Joint generative model for fMRI/DWI and its application to population studies. Med Image Comput Comput Assist Interv. 2010; 13(Pt 1):191-9. PMID: 20879231; PMCID: PMC3056120; DOI: 10.1007/978-3-642-15705-9_24;

Venkataraman A, Kubicki M, Westin CF, Golland P. Robust Feature Selection in Resting-State fMRI Connectivity Based on Population Studies. Conf Comput Vis Pattern Recognit Workshops. 2010; 63-70. PMID: 21660131; PMCID: PMC3110085; DOI: 10.1109/CVPRW.2010.5543446;

Van Dijk KR, Hedden T, Venkataraman A, Evans KC, Lazar SW, Buckner RL. Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. J Neurophysiol. 2010 Jan; 103(1):297-321. PMID: 19889849; PMCID: PMC2807224; DOI: 10.1152/jn.00783.2009;

Venkataraman A, Van Dijk KR, Buckner RL, Golland P. EXPLORING FUNCTIONAL CONNECTIVITY IN FMRI VIA CLUSTERING. Proc IEEE Int Conf Acoust Speech Signal Process. 2009 Apr; 2009:441-444. PMID: 26028993; PMCID: PMC4449336; DOI: 10.1109/ICASSP.2009.4959615;

Golland P, Lashkari D, Venkataraman A. Spatial Patterns and Functional Profiles for Discovering Structure in fMRI Data. Conf Rec Asilomar Conf Signals Syst Comput. 2008 Oct; 2008:1402-1409. PMID: 26082607; PMCID: PMC4465961; DOI: 10.1109/ACSSC.2008.5074650;

This graph shows the total number of publications by year, by first, middle/unknown, or last author.

Bar chart showing 55 publications over 16 distinct years, with a maximum of 10 publications in 2023