D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Neuroscience D-index 59 Citations 14,874 228 World Ranking 1513 National Ranking 13

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Internal medicine
  • Artificial intelligence

Dante Mantini focuses on Neuroscience, Brain mapping, Resting state fMRI, Functional magnetic resonance imaging and Human brain. Dante Mantini studied Neuroscience and Anatomy that intersect with Systems biology and Visual perception. The various areas that Dante Mantini examines in his Brain mapping study include Speech perception, Magnetic resonance imaging, Artificial intelligence and Pattern recognition.

His Resting state fMRI research includes themes of Multivariate normal distribution, Statistical physics, Linear model and Autism spectrum disorder. His Functional magnetic resonance imaging research also works with subjects such as

  • Electroencephalography that connect with fields like Functional magnetic resonance spectroscopy of the brain,
  • Hippocampus which intersects with area such as Temporal lobe and Cingulate cortex. His Human brain study incorporates themes from Contrast, Brain activity and meditation, Granger causality and Sensory system.

His most cited work include:

  • Electrophysiological signatures of resting state networks in the human brain. (1424 citations)
  • Temporal dynamics of spontaneous MEG activity in brain networks (524 citations)
  • Altered Functional Connectivity and Small-World in Mesial Temporal Lobe Epilepsy (397 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Neuroscience, Resting state fMRI, Artificial intelligence, Functional magnetic resonance imaging and Electroencephalography. Brain mapping, Neuroimaging, Cognition, Functional connectivity and Prefrontal cortex are the subjects of his Neuroscience studies. His work deals with themes such as Autism spectrum disorder, Default mode network, Human brain and Macaque, which intersect with Resting state fMRI.

His Artificial intelligence research is multidisciplinary, incorporating elements of Magnetic resonance imaging, Computer vision and Pattern recognition. Dante Mantini focuses mostly in the field of Functional magnetic resonance imaging, narrowing it down to matters related to Brain activity and meditation and, in some cases, Physical medicine and rehabilitation. His studies in Electroencephalography integrate themes in fields like Electrophysiology and Artifact.

He most often published in these fields:

  • Neuroscience (82.48%)
  • Resting state fMRI (42.86%)
  • Artificial intelligence (29.11%)

What were the highlights of his more recent work (between 2017-2021)?

  • Neuroscience (82.48%)
  • Electroencephalography (29.38%)
  • Resting state fMRI (42.86%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Neuroscience, Electroencephalography, Resting state fMRI, Functional connectivity and Artificial intelligence. In his study, Beta is inextricably linked to Alpha, which falls within the broad field of Neuroscience. His Electroencephalography study combines topics from a wide range of disciplines, such as Audiology, Cognition, Human brain and Artifact.

His Resting state fMRI research is multidisciplinary, relying on both Structure, Electrophysiology, Functional magnetic resonance imaging, Default mode network and Set. His Functional connectivity research integrates issues from Neuroimaging, Age related and Flexibility. He works mostly in the field of Artificial intelligence, limiting it down to topics relating to Pattern recognition and, in certain cases, Magnetic resonance imaging.

Between 2017 and 2021, his most popular works were:

  • Age-related declines in motor performance are associated with decreased segregation of large-scale resting state brain networks (59 citations)
  • Age-related declines in motor performance are associated with decreased segregation of large-scale resting state brain networks (59 citations)
  • Age-related declines in motor performance are associated with decreased segregation of large-scale resting state brain networks (59 citations)

In his most recent research, the most cited papers focused on:

  • Neuroscience
  • Artificial intelligence
  • Internal medicine

Neuroscience, Electroencephalography, Resting state fMRI, Functional magnetic resonance imaging and Functional connectivity are his primary areas of study. His studies deal with areas such as Alpha and Beta as well as Neuroscience. The concepts of his Electroencephalography study are interwoven with issues in Fixation, Cognition, Artificial intelligence and Pattern recognition.

His Resting state fMRI research includes elements of Electrophysiology, Human brain and Set. His biological study spans a wide range of topics, including Sensorimotor cortex, Physical medicine and rehabilitation, Foot movements and High spatial resolution. His biological study deals with issues like Neuroimaging, which deal with fields such as Cognitive flexibility and Neuropsychology.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Electrophysiological signatures of resting state networks in the human brain.

D. Mantini;M. G. Perrucci;C. Del Gratta;G. L. Romani.
Proceedings of the National Academy of Sciences of the United States of America (2007)

1802 Citations

Temporal dynamics of spontaneous MEG activity in brain networks

Francesco de Pasquale;Stefania Della Penna;Abraham Z. Snyder;Christopher Lewis.
Proceedings of the National Academy of Sciences of the United States of America (2010)

628 Citations

Altered Functional Connectivity and Small-World in Mesial Temporal Lobe Epilepsy

Wei-Ting Liao;Zhiqiang Zhang;Zhengyong Pan;Dante Mantini;Dante Mantini.
PLOS ONE (2010)

482 Citations

Altered functional–structural coupling of large-scale brain networks in idiopathic generalized epilepsy

Zhiqiang Zhang;Wei Liao;Huafu Chen;Dante Mantini.
Brain (2011)

431 Citations

Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?

Rikkert Hindriks;Mohit H. Adhikari;Yusuke Murayama;Marco Ganzetti.
NeuroImage (2016)

391 Citations

Resting-State Functional Connectivity Emerges from Structurally and Dynamically Shaped Slow Linear Fluctuations

Gustavo Deco;Adrián Ponce-Alvarez;Dante Mantini;Dante Mantini;Gian Luca Romani.
The Journal of Neuroscience (2013)

371 Citations

Intact but less Accessible Phonetic Representations in Adults with Dyslexia

B Boets;H P Op de Beeck;M Vandermosten;S K Scott.
Science (2013)

362 Citations

Default mode network abnormalities in mesial temporal lobe epilepsy: a study combining fMRI and DTI.

Wei Liao;Zhiqiang Zhang;Zhengyong Pan;Dante Mantini.
Human Brain Mapping (2011)

302 Citations

Selective aberrant functional connectivity of resting state networks in social anxiety disorder.

Wei Liao;Huafu Chen;Yuanbo Feng;Dante Mantini.
NeuroImage (2010)

284 Citations

Evolutionarily Novel Functional Networks in the Human Brain

Dante Mantini;Dante Mantini;Maurizio Corbetta;Gian Luca Romani;Guy A. Orban;Guy A. Orban.
The Journal of Neuroscience (2013)

284 Citations

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Best Scientists Citing Dante Mantini

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Simon B. Eickhoff

Simon B. Eickhoff

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