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Janaina Mourao-Miranda

Janaina Mourao-Miranda

D-Index & Metrics

Neuroscience

D-Index
44
Citations
9350
World Ranking
7102
National Ranking
550

Overview

Janaina Mourao-Miranda is affiliated with University College London in the United Kingdom. Their research primarily focuses on Neuroscience, with particular attention to Cognitive Neuroscience, Experimental and Cognitive Psychology, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, and Health, Toxicology and Mutagenesis.

Themes central to their work include Functional Brain Connectivity Studies, Mental Health Research Topics, Advanced Neuroimaging Techniques and Applications, Neural Dynamics and Brain Function, Health, Environment, Cognitive Aging, Sensory Analysis and Statistical Methods, and Face Recognition and Perception.

Recent publications authored or co-authored by Janaina Mourao-Miranda include:

  • Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists (2020), NeuroImage
  • Canonical Correlation Analysis and Partial Least Squares for Identifying Brain-Behavior Associations: A Tutorial and a Comparative Study (2022), Biological Psychiatry Cognitive Neuroscience and Neuroimaging
  • Realizing the Clinical Potential of Computational Psychiatry: Report From the Banbury Center Meeting, February 2019 (2020), Biological Psychiatry
  • Fast temporal dynamics and causal relevance of face processing in the human temporal cortex (2020), Nature Communications
  • A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets (2021), NeuroImage

Frequent co-authors collaborating with Mourao-Miranda include Ágoston Mihalik, Fábio S. Ferreira, Rick A. Adams, John Ashburner, and Felix Hoffstaedter.

Publications often appear in well-known academic venues such as:

  • arXiv (Cornell University)
  • NeuroImage
  • Biological Psychiatry Cognitive Neuroscience and Neuroimaging
  • Biological Psychiatry
  • Communications Biology

Best Publications

  • The neural correlates of moral sensitivity: a functional magnetic resonance imaging investigation of basic and moral emotions.

    Jorge Moll;Ricardo de Oliveira-Souza;Paul J. Eslinger;Ivanei E. Bramati

  • Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data.

    Janaina Mourão-Miranda;Arun L.W. Bokde;Christine Born;Harald Hampel

  • PRoNTo: Pattern Recognition for Neuroimaging Toolbox

    Jessica Schrouff;Maria Joao Rosa;Jane Rondina;Jane Rondina;Andre Marquand

  • Describing the Brain in Autism in Five Dimensions—Magnetic Resonance Imaging-Assisted Diagnosis of Autism Spectrum Disorder Using a Multiparameter Classification Approach

    Christine Ecker;Andre Marquand;Janaina Mourão-Miranda;Patrick Johnston

  • Investigating the predictive value of whole-brain structural MR scans in autism: A pattern classification approach

    Christine Ecker;Vanessa Rocha-Rego;Patrick Johnston;Janaina Mourao-Miranda

  • Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease.

    Claudia Plant;Stefan J. Teipel;Stefan J. Teipel;Annahita Oswald;Christian Böhm

  • Pattern Classification of Sad Facial Processing : Toward the Development of Neurobiological Markers in Depression

    Cynthia H.Y. Fu;Janaina Mourao-Miranda;Sergi G. Costafreda;Akash Khanna

  • Diagnostic neuroimaging across diseases.

    Stefan Klöppel;Ahmed Abdulkadir;Clifford R. Jack;Nikolaos Koutsouleris

  • Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes.

    Andre Marquand;Matthew Howard;Michael Brammer;Carlton Chu

  • Bayesian decoding of brain images.

    Karl Friston;Carlton Chu;Janaina Mourão-Miranda;Oliver Hulme

  • Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists.

    Hao-Ting Wang;Hao-Ting Wang;Jonathan Smallwood;Janaina Mourao-Miranda;Cedric Huchuan Xia

  • Integrating neurobiological markers of depression.

    Tim Hahn;Andre F. Marquand;Ann-Christine Ehlis;Thomas Dresler

  • Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine

    Janaina Mourão-Miranda;David R. Hardoon;David R. Hardoon;Tim Hahn;Tim Hahn;Andre F. Marquand

  • Making Individual Prognoses in Psychiatry Using Neuroimaging and Machine Learning

    Ronald J. Janssen;Janaina Mourão-Miranda;Hugo G. Schnack

  • Sparse Network-Based Models for Patient Classification Using fMRI

    Maria J. Rosa;Liana Portugal;John Shawe-Taylor;Janaina Mourao-Miranda

  • Contributions of stimulus valence and arousal to visual activation during emotional perception

    J Mourão-Miranda;E Volchan;J Moll;R de Oliveira-Souza

  • The impact of temporal compression and space selection on SVM analysis of single-subject and multi-subject fMRI data

    Janaina Mourão-Miranda;Emanuelle Reynaud;Francis McGlone;Gemma Calvert

  • Neuroanatomy of verbal working memory as a diagnostic biomarker for depression.

    Andre F. Marquand;Janaina Mourão-Miranda;Michael J. Brammer;Anthony J. Cleare

  • Individualized prediction of illness course at the first psychotic episode: a support vector machine MRI study

    J. Mourao-Miranda;A.A.T.S. Reinders;V. Rocha-Rego;Julia M. Lappin

  • Dynamic discrimination analysis: a spatial-temporal SVM.

    Janaina Mourão-Miranda;Karl J. Friston;Michael Brammer

Frequent Co-Authors

Andre F. Marquand
Andre F. Marquand Radboud University
Michael Brammer
Michael Brammer King's College London
Mary L. Phillips
Mary L. Phillips University of Pittsburgh
Christophe Phillips
Christophe Phillips University of Liège
João Ricardo Sato
João Ricardo Sato Universidade Federal do ABC
Andreas J. Fallgatter
Andreas J. Fallgatter University of Tübingen
Thomas Dresler
Thomas Dresler University of Tübingen
Ian M. Goodyer
Ian M. Goodyer University of Cambridge
Raymond J. Dolan
Raymond J. Dolan University College London
Luiz Pessoa
Luiz Pessoa University of Maryland, College Park

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