academic CV

Alfonso Nieto-Castañón

Computational Neuroscientist | Functional Neuroimaging Methods | Brain Connectivity | Mathematical Modeling

Email: alfnie@cnrlab.org

Website: cnrlab.org

Google Scholar: PcD1M7kAAAAJ

ORCID: 0000–0002–3451–3475

ACADEMIC PROFILE

87 publications | 18,026 citations | h–index: 46

Computational neuroscientist specializing in brain connectivity, functional neuroimaging, mathematical modeling, and machine learning.

My research focuses on understanding the functional organization of the human brain through the study of functional connectivity, with particular emphasis on both dynamic intra–individual and inter–individual variation in brain organization. To address this, my work develops computational and mathematical frameworks that can characterize how distributed neural systems interact, how these interactions vary across time and across individuals, and how such variation relates to cognition, language, development, and neuropsychiatric conditions.

My academic career has been anchored in long-term research activity within the Boston University / MIT / Harvard neuroimaging ecosystem, where I have held continuous research roles. This collaborative network has been sustained and expanded over the past two decades. Since 2018, I have been based in Spain, where I established the Computational Neuroscience Research Lab (CNRLab) as an independent research laboratory, while maintaining sustained collaborations and participation in externally funded projects with Boston University, MIT, and associated neuroimaging centers. This distributed model has enabled the consolidation of an independent research program while remaining deeply embedded in leading international research environments.

EDUCATION

Ph.D., Cognitive and Neural Systems

Boston University, 1997–2004

B.S/M.S. Telecommunications Engineering

Universidad de Valladolid, 1991–1996

RESEARCH POSITIONS

Current and recent appointments

Director

Computational Neuroscience Research Lab, Spain, 2023–present

Research Scientist / Senior Research Scientist / Visiting Researcher

Department of Speech, Language & Hearing Sciences, Boston University

Research Scientist 2008–2012

Senior Research Scientist 2012–2018

Visiting Researcher 2018–present

Research Affiliate

McGovern Institute for Brain Research, Massachusetts Institute of Technology (MIT), 2022–2025

Other/previous positions

Research Associate

Cognitive and Neural Systems Department, Boston University, 2004–2006

Research Affiliate

Research Laboratory of Electronics, Massachusetts Institute of Technology (MIT), 2004–2006

Biostatistician

Department of Psychiatry, Judge Baker Children Center, Harvard Medical School, 2001–2013

Graduate Research Assistant

Cognitive and Neural Systems Department, Boston University, 1999–2004

Research Engineer

Center for the Development of Telecommunications in Castilla y León, Universidad de Valladolid, 1996–1999

CONTRIBUTIONS TO SCIENCE

My research develops computational and mathematical frameworks to characterize the organization of human brain function, with a particular focus on functional connectivity, inter-individual variability, and dynamic brain processes.

Inferential and predictive models in functional connectivity

I have developed methodological frameworks for the analysis of functional connectivity at the whole-brain level, enabling statistically principled inference on distributed patterns of connectivity. This work includes multivariate and connectome-wide approaches that move beyond pairwise analyses to characterize high-dimensional patterns of brain organization and inter-individual variability in the human connectome. More generally, these methods reflect a shift toward understanding functional organization not from isolated functional connections, but from coordinated patterns of connectivity spanning the entire brain.

Representative publications:

• Nieto–Castanon, A. (2022). Brain–wide connectome inferences using functional connectivity MultiVariate Pattern Analyses (fc–MVPA). PLOS Computational Biology, 18(11), e1010634.

• Whitfield–Gabrieli, S., & Nieto–Castanon, A. (2012). Conn: a functional connectivity toolbox for correlated and anticorrelated brain networks. Brain connectivity, 2(3), 125–141.

Dynamic functional connectivity and circuit-based models of brain dynamics

A major line of my current research investigates the temporal organization of functional connectivity and the computational principles underlying brain dynamics. This work examines whether functional brain organization is best understood as a sequence of discrete global states or as the superposition of partially independent latent processes unfolding concurrently across different neural circuits. To address this, I developed dynamic Independent Component Analysis (dynamic ICA), a superposition-capable framework that decomposes time-varying connectivity into overlapping latent circuits whose interactions evolve over time. Together, this work motivates a transition from “global state sequence” models toward circuit-based descriptions of dynamic functional organization.

Representative publications:

• Nieto–Castanon, A. (2020). Handbook of functional connectivity MRI methods in CONN. Hilbert Press, MA.

• Nieto–Castañón, A. (2026, in prep). The Illusion of Brain States: Chimera fMRI Challenges Global Accounts of Brain Dynamics.

Denoising, quality control, and reproducibility in functional neuroimaging

Another major research line focuses on methodological challenges associated with noise, physiological confounds, and reproducibility in fMRI. This work studies how motion, physiological fluctuations, and scanner-related artifacts influence connectivity estimates, and develops computational strategies for denoising and quality control that improve interpretability and reliability in functional neuroimaging analyses. These approaches have contributed to the establishment of reproducible workflows and methodological standards for functional connectivity research.

Representative publications:

• Nieto–Castanon, A. (2025). Preparing fMRI data for statistical analysis. In fMRI techniques and protocols (pp. 163–191). New York, NY: Springer US.

• Morfini, F., Whitfield–Gabrieli, S., & Nieto–Castañón, A. (2023). Functional connectivity MRI quality control procedures in CONN. Frontiers in Neuroscience, 17, 1092125.

Inter-individual heterogeneity in anatomy and function

A central theme of my work is the characterization of variability in brain organization across individuals. I have contributed methodological approaches for subject-specific functional localization and individualized functional representations that improve sensitivity and interpretability in multi-subject neuroimaging analyses. These methods have helped establish precision-oriented approaches to functional neuroimaging and have been broadly adopted in studies of language, cognition, and neuropsychiatric disorders.

Representative publications:

• Nieto–Castañon, A., & Fedorenko, E. (2012). Subject–specific functional localizers increase sensitivity and functional resolution of multi–subject analyses. Neuroimage, 63(3), 1646–1669.

• Nieto–Castanon, A., Ghosh, S. S., Tourville, J. A., & Guenther, F. H. (2003). Region of interest based analysis of functional imaging data. Neuroimage, 19(4), 1303–1316.

• Lipkin, B., Tuckute, G., Affourtit, J., Small, H., Mineroff, Z., Kean, H., Jouravlev, O., Rakocevic, L., Pritchett, B., Siegelman, M., Hoeflin, C., Pongos, A., Blank, I., Struhl, M.K., Ivanova, A., Shannon, S, Sathe, A., Hoffmann, M., Nieto–Castanon, A. & Fedorenko, E. (2022). Probabilistic atlas for the language network based on precision fMRI data from > 800 individuals. Scientific Data, 9(1), 1–10.

IMPACT MEASURES

Measures of impact through publications

My publications have received over 18,000 citations (h-index: 46), with sustained growth over the past decade (2,647 citations in 2025 alone; source: Google Scholar).

They include 9 high–impact publications—publications that rank in the top 1% by citations among all academic publications in the same year and discipline (source: Clarivate)

I maintain an extensive collaborative network that I have developed over the past 20 years, with a co–authorship graph spanning 87 publications and 251 co–authors across clinical, cognitive, and computational neuroscience. This breadth of collaboration highlights my leadership in analytical methods and their application across very diverse domains in neuroscience research.

Measures of translational impact

Beyond publications and direct collaborations, the impact of methodological research in computational neuroscience can also be assessed by the extent to which its concepts and approaches are adopted and used by the broader neuroscience community. In my work, this translational impact is reflected in the widespread use of the CONN toolbox, a computational framework that I developed to formalize, implement, and disseminate methodological approaches originating from my research in the domain of functional connectivity analysis.

The CONN toolbox is currently used by over 6,000 researchers across more than 75 countries. It has contributed to more than 5,000 scientific publications and it is ranked in the top 1% of neuroimaging tools on NITRC by views and downloads. This level of adoption reflects the integration of my methodological research into standard research practice, contributing to the standardization and reproducibility of functional connectivity analyses across the field.

Measures of impact through training

Since 2015 I organize and lead the annual CONN Functional Connectivity Workshop. Over the past five years alone it has trained over 400 researchers from 215 universities and research institutions across more than 34 countries. I am also regularly invited to speak as an expert on functional connectivity methods at the educational courses hosted by the Athinoula A. Martinos Center for Biomedical Imaging at Massachusetts General Hospital.

Prizes and awards

Over the past 15 years, I have received numerous awards in international competitions recognizing excellence in data analysis, predictive modeling, and scientific programming. These recognitions underscore my creative problem-solving, statistical learning expertise, and high–level technical proficiency:

Scientific programming awards: Winner of multiple MathWorks programming challenges, including “Color Bridge” (2009), “Vines” (2011), and “Packing Santa’s Sleigh” (2014). Maintained #1 global ranking in the MathWorks Cody platform from 2013 to 2019 (out of 50,000+ competitors).

Machine learning and data science competitions: Winner of the Microsoft/ChaLearn Kinect Gesture Challenge (2011). Winner of Genentech’s Flu Forecasting (2013) and Flu Forecasting Redux (2014) predictive analytics competitions. Second place in the Marinexplore & Cornell University Whale Detection Challenge (2013). Awarded the Kaggle Grandmaster title in 2015—an honor held by only 295 individuals globally (out of 100,000+ competitors); ranked #3 worldwide on Kaggle in 2013.

RESEARCH FUNDING

My research has been supported through sustained methodological leadership roles within major NIH funded research programs:

Selected externally funded projects — key personnel / methodological lead roles

Research Scientist / Key Personnel, NIH/NIDCD R01 DC022949 (2025–2030).

Research Scientist / Key Personnel, NIH/NIDCD R01 DC022014 (2025–2030).

Research Scientist / Key Personnel, NIH R01 DC007683 (2021–2026).

Research Scientist / Key Personnel, NIH/NINDS U01 NS117836 (2020–2025).

Research Scientist / Key Personnel, NIH R01 DC016270 (2018–2023).

Research Scientist / Key Personnel, NIH R01 DC002852 (2016–2021).

Research Scientist / Key Personnel, NIH R01 DC007683 (2016–2021),

Research Scientist / Key Personnel, NIH R01 DC002852 (2011–2016).

Research Scientist / Key Personnel, NIH R01 DC007683 (2011–2016).

Selected externally funded projects — consultant / specialist methodology roles

Consultant, NIH/NIMH U01 MH108168 (2015–2019).

Consultant, NIH P50 DC013027 (2012–2018).

Consultant, NICHHD 5K99HD057522 (2014–2017).

Consultant, NIH/NIDCD R44 DC007050 (2014).

PATENTS

Co-inventor U.S. Patent No. 10,553,199. “Low-dimensional real-time concatenative speech synthesizer”. Washington, DC: U.S. Patent and Trademark Office. (2020)

EDITORIAL ROLES

Associate Editor for Brain Imaging Methods. Frontiers in Neuroscience

Associate Editor for Brain Imaging Methods. Frontiers in Neuroimaging

Associate Editor for Frontiers in Computational Neuroscience

TEACHING

Principal Lecturer, Computational Neuroscience Research Lab (2024,2025,2026) CONN workshop, fcMRI methods course

Principal Lecturer, MGH / MIT / Harvard Medical School (2016,2017,2018,2019,2021,2022,2023,2024) CONN workshop, 5–day course

Guest Lecturer, MGH / MIT / Harvard Medical School (2018,2019,2020,2021,2022,2024) Connectivity Course: Structural and Functional Brain Connectivity via MRI and fMRI

Principal Lecturer, University of Cincinnati & Cincinnati Children’s Hospital Medical Center (2015) Brain Connectivity Methods course

Principal Lecturer, Neurometrika (2014) Brain Connectivity Methods course

Guest Lecturer, Boston University (2018,2019,2022,2023,2025) SAR SH680, Neural Control of Speech

Guest Lecturer, Boston University (2003,2004,2005) GRS CN500, Computational Methods in Cognitive and Neural Systems, Probability and Statistics module

PUBLICATIONS

Cravo, F., Rodriguez, R., Nieto–Castanon, A., & Noble, S. (2026). The Incremental Cluster Threshold–Free Cluster Enhancement Algorithm for Functional Connectivity Analysis. bioRxiv, 2026–04.

Acosta, A., Kearney, E., Nieto–Castanon, A., & Guenther, F. H. (2026). Rapid Auditory Feedback Control of Speech is Based on the Current Production, Not an Idealized Target.

Ivanova, A. A., Kauf, C., Gao, R., She, J. S., Kean, H. H., Goldhaber, T., ... & Fedorenko, E. (2025). Semantic reasoning takes place largely outside the language network. bioRxiv, 2025–12.

Rowe, H. P., Frankford, S. A., Kim, J. S., Tourville, J. A., Nieto–Castanon, A., & Guenther, F. H. (2025). Differential involvement of feedback and feedforward control networks across disfluency types in adults who stutter: Evidence from resting state functional connectivity. PLOS ONE, 20(9), e0333205.

Ozernov–Palchik, O., O’Brien, A. M., Lee, E. J., Richardson, H., Romeo, R., Poliak, M., ... & Fedorenko, E. (2025). Precision fMRI reveals that the language network exhibits adult–like left–hemispheric lateralization by 4 years of age. bioRxiv, 2024–05.

Nieto–Castanon, A. (2025). Preparing fMRI data for statistical analysis. In fMRI techniques and protocols (pp. 163–191). New York, NY: Springer US.  high-impact: RI Score=35.8   highly-cited: citations=159 

Rowe, H. P., Tourville, J. A., Nieto–Castanon, A., Garnett, E. O., Chow, H. M., Chang, S. E., & Guenther, F. H. (2024). Evidence for planning and motor subtypes of stuttering based on resting state functional connectivity. Brain and language, 253, 105417.

Lloyd, K. M., Morris, T. P., Anteraper, S., Voss, M., Nieto‐Castanon, A., Whitfield‐Gabrieli, S., & Kramer, A. F. (2024). Data‐driven MRI analysis reveals fitness‐related functional change in default mode network and cognition following an exercise intervention. Psychophysiology, 61(4), e14469.

Miller, H.E., Garnett, E.O., Heller Murray, E.S., Nieto–Castañón, A., Tourville, J.A., Chang, S.E. and Guenther, F.H., 2023. A comparison of structural morphometry in children and adults with persistent developmental stuttering. Brain Communications, 5(6), p.fcad301.

Miller, H.E., Kearney, E., Nieto–Castañón, A., Falsini, R., Abur, D., Acosta, A., Chao, S.C., Dahl, K.L., Franken, M., Heller Murray, E.S. and Mollaei, F., 2023. Do not cut off your tail: a mega–analysis of responses to auditory perturbation experiments. Journal of Speech, Language, and Hearing Research, 66(11), pp.4315–4331.

Hu, J., Small, H., Kean, H., Takahashi, A., Zekelman, L., Kleinman, D., Ryan, E., Nieto-Castañón, A., Ferreira, V. and Fedorenko, E., 2023. Precision fMRI reveals that the language-selective network supports both phrase-structure building and lexical access during language production. Cerebral Cortex, 33(8), pp.4384-4404.

Morfini, F., Whitfield-Gabrieli, S., & Nieto-Castañón, A. (2023). Functional connectivity MRI quality control procedures in CONN. Frontiers in Neuroscience, 17, 1092125.   high-impact: RI Score=58.5 

Frankford, S. A., Cai, S., Nieto-Castañón, A., & Guenther, F. H. (2023). Auditory feedback control in adults who stutter during metronome-paced speech I. Timing Perturbation. Journal of Fluency Disorders, 75, 105943.

Westlin, C., Theriault, J.E., Katsumi, Y., Nieto-Castanon, A., Kucyi, A., Ruf, S.F., Brown, S.M., Pavel, M., Erdogmus, D., Brooks, D.H. Quigley, K.S., Whitfield-Gabrieli, S., and Barrett, L.F. 2023. Improving the study of brain-behavior relationships by revisiting basic assumptions. Trends in cognitive sciences.  high-impact: RI Score=73.5 

Chan, D., Suk, H. J., Jackson, B. L., Milman, N. P., Stark, D., Klerman, E. B., ... & Tsai, L. H. (2022). Gamma frequency sensory stimulation in mild probable Alzheimer’s dementia patients: Results of feasibility and pilot studies. PloS one, 17(12), e0278412.

Frankford, S. A., Cai, S., Nieto-Castañón, A., & Guenther, F. H. (2022). Auditory feedback control in adults who stutter during metronome-paced speech II. Formant Perturbation. Journal of Fluency Disorders, 74, 105928.

Nieto-Castanon, A. (2022). Preparing fMRI Data for Statistical Analysis. arXiv preprint arXiv:2210.13564.

Nieto-Castanon, A. (2022). Brain-wide connectome inferences using functional connectivity MultiVariate Pattern Analyses (fc-MVPA). PLOS Computational Biology, 18(11), e1010634.  high-impact: RI Score=102.8 

Lipkin, B., Tuckute, G., Affourtit, J., Small, H., Mineroff, Z., Kean, H., Jouravlev, O., Rakocevic, L., Pritchett, B., Siegelman, M., Hoeflin, C., Pongos, A., Blank, I., Struhl, M.K., Ivanova, A., Shannon, S, Sathe, A., Hoffmann, M., Nieto-Castanon, A. & Fedorenko, E. (2022). Probabilistic atlas for the language network based on precision fMRI data from> 800 individuals. Scientific Data, 9(1), 1-10.

Murray, E. S. H., Segawa, J., Karahanoglu, F. I., Tocci, C., Tourville, J. A., Nieto-Castanon, A., ... & Guenther, F. H. (2022). Increased intra-subject variability of neural activity during speech production in people with autism spectrum disorder. Research in Autism Spectrum Disorders, 94, 101955.

Morris, T. P., Kucyi, A., Anteraper, S. A., Geddes, M. R., Nieto-Castañon, A., Burzynska, A., ... & Kramer, A. F. (2022). Resting state functional connectivity provides mechanistic predictions of future changes in sedentary behavior. Scientific reports, 12(1), 1-11.

Kearney, E., Nieto-Castañón, A., Falsini, R., Daliri, A., Murray, E. S. H., Smith, D. J., & Guenther, F. H. (2022). Quantitatively characterizing reflexive responses to pitch perturbations. Frontiers in Human Neuroscience, 16.

Frankford, S. A., Heller Murray, E. S., Masapollo, M., Cai, S., Tourville, J. A., Nieto-Castañón, A., & Guenther, F. H. (2021). The neural circuitry underlying the “rhythm effect” in stuttering. Journal of Speech, Language, and Hearing Research, 64(6S), 2325-2346.

Morris, T. P., Chaddock-Heyman, L., Ai, M., Anteraper, S. A., Castañon, A. N., Whitfield-Gabrieli, S., ... & Kramer, A. F. (2021). Enriching activities during childhood are associated with variations in functional connectivity patterns later in life. Neurobiology of Aging, 104, 92-101.

Frankford, S. A., Nieto-Castañón, A., Tourville, J. A., & Guenther, F. H. (2021). Reliability of single-subject neural activation patterns in speech production tasks. Brain and language, 212, 104881.

Masapollo, M., Segawa, J. A., Beal, D. S., Tourville, J. A., Nieto-Castañón, A., Heyne, M., ... & Guenther, F. H. (2021). Behavioral and neural correlates of speech motor sequence learning in stuttering and neurotypical speakers: an fMRI investigation. Neurobiology of Language, 2(1), 106-137.

Zhang, J., Morfini, F., Lee, Y. J., Castanon, A. N., Yendiki, A., Hubbard, N., ... & Whitfield-Gabrieli, S. (2020). Multimodal Brain Connectomics Predict Longitudinal Symptom Change in Adolescent Depression. Biological Psychiatry, 87(9), S201.

Bauer, C. C., Rozenkrantz, L., Caballero, C., Nieto‐Castanon, A., Scherer, E., West, M. R., ... & Whitfield‐Gabrieli, S. (2020). Mindfulness training preserves sustained attention and resting state anticorrelation between default‐mode network and dorsolateral prefrontal cortex: A randomized controlled trial. Human brain mapping, 41(18), 5356-5369.

Kearney, E., Nieto-Castañón, A., Weerathunge, H. R., Falsini, R., Daliri, A., Abur, D., ... & Scott, T. L. (2020). A Simple 3-Parameter Model for Examining Adaptation in Speech and Voice Production. Frontiers in Psychology, 10, 2995.

Nieto-Castanon, A. (2020). Handbook of functional connectivity MRI methods in CONN. Hilbert Press, Boston, MA.   high-impact: RI Score=790.7   highly-cited: citations=505 

Anteraper, S. A., Nieto-Castanon, A., & Whitfield-Gabrieli, S. (2020). Functional MRI Methods. In Neuroimaging in Schizophrenia (pp. 93-112). Springer, Chambridge, MA.

Daliri, A., Heller Murray, E. S., Blood, A. J., Burns, J., Noordzij, J. P., Nieto-Castanon, A., ... & Guenther, F. H. (2020). Auditory feedback control mechanisms do not contribute to cortical hyperactivity within the voice production network in adductor spasmodic dysphonia. Journal of Speech, Language, and Hearing Research, 63(2), 421-432.

Whitfield-Gabrieli, S., Wendelken, C., Nieto-Castañón, A., Bailey, S. K., Anteraper, S. A., Lee, Y. J., ... & Bunge, S. A. (2020). Association of intrinsic brain architecture with changes in attentional and mood symptoms during development. JAMA psychiatry, 77(4), 378-386.

Collin, G., Nieto-Castanon, A., Shenton, M., Pasternak, O., Kelly, S., Keshavan, M., ... & Whitfield-Gabrieli, S. (2020). S147. Functional Brain Connectivity Data Improve Clinical Outcome Prediction in Youth at Risk for Psychosis. Schizophrenia Bulletin, 46(Supplement_1), S92-S92.

Morfini, F., Zhang, J., Lee, Y. J., Castanon, A. N., Hubbard, N., Siless, V., ... & Whitfield-Gabrieli, S. (2020). Resting State Connectivity Associated With Changes in Anxiety Symptoms in Adolescence Over One Year. Biological Psychiatry, 87(9), S332.

Tourville, J. A., Nieto-Castañón, A., Heyne, M., & Guenther, F. H. (2019). Functional parcellation of the speech production cortex. Journal of Speech, Language, and Hearing Research, 62(8S), 3055-3070.

Collin, G., Nieto-Castanon, A., Shenton, M.E., Pasternak, O., Kelly, S., Keshavan, M.S., Seidman, L.J., McCarley, R.W., Niznikiewicz, M.A., Li, H., Zhang, T., Tang, Y., Store, W.S., Wang, J. & Whitfield-Gabrieli, S. (2019). Brain functional connectivity data enhance prediction of clinical outcome in youth at risk for psychosis. NeuroImage: Clinical, 102108.

Threlkeld, Z. D., Bodien, Y. G., Rosenthal, E. S., Giacino, J. T., Nieto-Castanon, A., Wu, O., ... & Edlow, B. L. (2018). Functional networks reemerge during recovery of consciousness after acute severe traumatic brain injury. Cortex, 106, 299-308.  highly-cited: citations=142 

Garnett, E. O., Chow, H. M., Nieto-Castañón, A., Tourville, J. A., Guenther, F. H., & Chang, S. E. (2018). Anomalous morphology in left hemisphere motor and premotor cortex of children who stutter. Brain, 141(9), 2670-2684.

Cler, M. J., Nieto-Castañón, A., Guenther, F. H., Fager, S. K., & Stepp, C. E. (2016). Surface electromyographic control of a novel phonemic interface for speech synthesis. Augmentative and Alternative Communication, 32(2), 120-130.

Whitfield-Gabrieli, S., Ghosh, S. S., Nieto-Castanon, A., Saygin, Z., Doehrmann, O., Chai, X. J., Reynolds, G.O., Hofmann, S.G., Pollack, M.H. & Gabrieli, J.D.E. (2016). Brain connectomics predict response to treatment in social anxiety disorder. Molecular psychiatry, 21(5), 680-685.  high-impact: RI Score=123.1  

Collins, B. A., O'Connor, E. E., Suárez-Orozco, C., Nieto-Castañon, A., & Toppelberg, C. O. (2014). Dual language profiles of Latino children of immigrants: Stability and change over the early school years. Applied Psycholinguistics, 35(3), 581-620.

Toppelberg, C. O., Hollinshead, M. O., Collins, B. A., & Nieto-Castañon, A. (2013). Cross-sectional study of unmet mental health need in 5-to 7-year old Latino children in the United States: do teachers and parents make a difference in service utilization?. School mental health, 5(2), 59-69.

Whitfield-Gabrieli, S., & Nieto-Castanon, A. (2012). Conn: a functional connectivity toolbox for correlated and anticorrelated brain networks. Brain connectivity, 2(3), 125-141.  high-impact: RI Score=2,337.0   highly-cited: citations=4,928  

Chai, X. J., Nieto-Castañon, A., Öngür, D., & Whitfield-Gabrieli, S. (2012). Anticorrelations in resting state networks without global signal regression. Neuroimage, 59(2), 1420-1428.  high-impact: RI Score=504.0   highly-cited: citations=1,163  

Fedorenko, E., Nieto-Castañon, A., & Kanwisher, N. (2012). Syntactic processing in the human brain: What we know, what we don’t know, and a suggestion for how to proceed. Brain and language, 120(2), 187-207.

Fedorenko, E., Nieto-Castanon, A., & Kanwisher, N. (2012). Lexical and syntactic representations in the brain: an fMRI investigation with multi-voxel pattern analyses. Neuropsychologia, 50(4), 499-513.

Nieto-Castañon, A., & Fedorenko, E. (2012). Subject-specific functional localizers increase sensitivity and functional resolution of multi-subject analyses. Neuroimage, 63(3), 1646-1669.

Chai, X.J., Whitfield-Gabrieli, S., Shinn, A.K., Gabrieli, J.D., Nieto-Castañón, A., McCarthy, J.M., Cohen, B.M. and Öngür, D. (2011). Abnormal medial prefrontal cortex resting-state connectivity in bipolar disorder and schizophrenia. Neuropsychopharmacology, 36(10), 2009-2017.  high-impact: RI Score=135.2   highly-cited: citations=268 

Whitfield-Gabrieli, S., Moran, J. M., Nieto-Castañon, A., Triantafyllou, C., Saxe, R., & Gabrieli, J. D. (2011). Associations and dissociations between default and self-reference networks in the human brain. Neuroimage, 55(1), 225-232.  high-impact: RI Score=164.0   highly-cited: citations=338  

Whitfield-Gabrieli, S., Nieto-Castanon, A., & Ghosh, S. (2011). Artifact detection tools (ART). Camb., Ma. Release Version, 7, 11.

Collins, B. A., Toppelberg, C. O., Suárez-Orozco, C., O'Connor, E., & Nieto-Castañon, A. (2011). Cross-sectional associations of Spanish and English competence and well-being in Latino children of immigrants in kindergarten, International Journal of Sociology of Language 2011(208), 5-23. 

Golfinopoulos, E., Tourville, J. A., Bohland, J. W., Ghosh, S. S., Nieto-Castanon, A., & Guenther, F. H. (2011). fMRI investigation of unexpected somatosensory feedback perturbation during speech. Neuroimage, 55(3), 1324-1338.

Peeva, M. G., Guenther, F. H., Tourville, J. A., Nieto-Castanon, A., Anton, J. L., Nazarian, B., & Alario, F. X. (2010). Distinct representations of phonemes, syllables, and supra-syllabic sequences in the speech production network. Neuroimage, 50(2), 626-638.

Ghosh, S. S., Kakunoori, S., Augustinack, J., Nieto-Castanon, A., Kovelman, I., Gaab, N., ... & Fischl, B. (2010). Evaluating the validity of volume-based and surface-based brain image registration for developmental cognitive neuroscience studies in children 4 to 11 years of age. Neuroimage, 53(1), 85-93.

Brumberg, J. S., Nieto-Castanon, A., Kennedy, P. R., & Guenther, F. H. (2010). Brain–computer interfaces for speech communication. Speech communication, 52(4), 367-379.  highly-cited: citations=392  

Fedorenko, E., Hsieh, P. J., Nieto-Castañon, A., Whitfield-Gabrieli, S., & Kanwisher, N. (2010). New method for fMRI investigations of language: defining ROIs functionally in individual subjects. Journal of neurophysiology, 104(2), 1177-1194.  high-impact: RI Score=243.3   highly-cited: citations=740  

Guenther, F. H., Brumberg, J. S., Wright, E. J., Nieto-Castanon, A., Tourville, J. A., Panko, M., ... & Ehirim, P. (2009). A wireless brain-machine interface for real-time speech synthesis. PloS one, 4(12).

Whitfield-Gabrieli, S., Thermenos, H.W., Milanovic, S., Tsuang, M.T., Faraone, S.V., McCarley, R.W., Shenton, M.E., Green, A.I., Nieto-Castanon, A., LaViolette, P. and Wojcik, J. (2009). Hyperactivity and hyperconnectivity of the default network in schizophrenia and in first-degree relatives of persons with schizophrenia. Proceedings of the National Academy of Sciences, 106(4), 1279-1284.  high-impact: RI Score=680.6   highly-cited: citations=1,674  

Toppelberg, C. O., Nieto-Castañon, A., & Hauser, S. T. (2006). Bilingual children: Cross-sectional relations of psychiatric syndrome severity and dual language proficiency. Harvard review of psychiatry, 14(1), 15-29.

Toppelberg, C. O., Munir, K., & Nieto‐Castañon, A. (2006). Spanish‐English Bilingual Children with Psychopathology: Language Deficits and Academic Language Proficiency. Child and adolescent mental health, 11(3), 156-163.

Guenther, F. H., Gosh, G. H., Nieto-Castanon, A., & Tourville, J. A. (2006). A neural model of speech production. Speech production: Models, phonetic processes and techniques, 27-40.

Nieto-Castanon, A., Guenther, F. H., Perkell, J. S., & Curtin, H. D. (2005). A modeling investigation of articulatory variability and acoustic stability during American English/r/production. The Journal of the Acoustical Society of America, 117(5), 3196-3212.

Tourville, J. A., Guenther, F. H., Ghosh, S. S., Reilly, K. J., Bohland, J. W., & Nieto-Castanon, A. (2005). Effects of acoustic and articulatory perturbation on cortical activity during speech production. In NeuroImage (Proceedings of the 11th Annual Meeting of the Organization for Human Brain Mapping, Toronto) (Vol. 26, p. S49).

Guenther, F. H., Nieto-Castanon, A., Ghosh, S. S., & Tourville, J. A. (2004). Representation of sound categories in auditory cortical maps. Journal of Speech, Language, and Hearing Research.

Nieto-Castanon, A., Ghosh, S. S., Tourville, J. A., & Guenther, F. H. (2003). Region of interest based analysis of functional imaging data. Neuroimage, 19(4), 1303-1316.

Toppelberg, C. O., Medrano, L., Morgens, L. P., & Nieto-Castanon, A. (2002). Bilingual children referred for psychiatric services: Associations of language disorders, language skills, and psychopathology. Journal of the American Academy of Child & Adolescent Psychiatry, 41(6), 712-722.

back to home