Rodolfo R. Llinas

Rodolfo R. Llinas

New York University

H-index: 140

North America-United States

Professor Information

University

New York University

Position

Professor of Neuroscience, NYU Medical School

Citations(all)

77104

Citations(since 2020)

8140

Cited By

70995

hIndex(all)

140

hIndex(since 2020)

45

i10Index(all)

452

i10Index(since 2020)

161

Email

University Profile Page

New York University

Research & Interests List

Neuroscience

Top articles of Rodolfo R. Llinas

Three distinct kinetic groupings of the synaptotagmin family: Candidate sensors for rapid and delayed exocytosis (vol 102, pg 5210, 2005)

Synaptotagmins (syts) are a family of membrane proteins present on a variety of intracellular organelles. In vertebrates, 16 isoforms of syt have been identified. The most abundant isoform, syt I, appears to function as a Ca2+ sensor that triggers the rapid exocytosis of synaptic vesicles from neurons. The functions of the remaining syt isoforms are less well understood. The cytoplasmic domain of syt I binds membranes in response to Ca2+, and this interaction has been proposed to play a key role in secretion. Here, we tested the Ca2+-triggered membrane-binding activity of the cytoplasmic domains of syts I–XII; eight isoforms tightly bound to liposomes that contained phosphatidylserine as a function of the concentration of Ca2+. We then compared the disassembly kinetics of Ca2+·syt·membrane complexes upon rapid mixing with excess Ca2+ chelator and found that syts can be classified into three distinct kinetic …

Authors

Enfu Hui,Jihong Bai,Ping Wang,Mutsuyuki Sugimori,Rodolfo R Llinas,Edwin R Chapman

Journal

Proceedings of the National Academy of Sciences

Published Date

2005/4/5

Splitting of the magnetic encephalogram into & laquo; brain & raquo; and & laquo; non-brain & raquo; physiological signals based on the joint analysis of frequency-pattern …

The article considers the problem of dividing the encephalography data into two time series, that generated by the brain and that generated by other electrical sources located in the human head. The magnetic encephalograms and magnetic resonance images of the head were recorded in the Center for Neuromagnetism at NYU Grossman School of Medicine. Data obtained at McGill University and Montreal University were also used. Recordings were made in a magnetically shielded room and the gradiometers were designed to suppress external noise, making it possible to eliminate them from the data analysis. Magnetic encephalograms were analyzed by the method of functional tomography, based on the Fourier transform and on the solution of inverse problem for all frequencies. In this method, one spatial position is assigned to each frequency component. Magnetic resonance images of the head were …

Authors

Rodolfo R Llinas,Stanislav Rykunov,Kerry D Walton,Anna Boyko,Mikhail Ustinin

Journal

FRONTIERS IN NEURAL CIRCUITS

Published Date

2022/8/26

Splitting of the magnetic encephalogram into «brain» and «non-brain» physiological signals based on the joint analysis of frequency-pattern functional tomograms and magnetic …

The article considers the problem of dividing the encephalography data into two time series, that generated by the brain and that generated by other electrical sources located in the human head. The magnetic encephalograms and magnetic resonance images of the head were recorded in the Center for Neuromagnetism at NYU Grossman School of Medicine. Data obtained at McGill University and Montreal University were also used. Recordings were made in a magnetically shielded room and the gradiometers were designed to suppress external noise, making it possible to eliminate them from the data analysis. Magnetic encephalograms were analyzed by the method of functional tomography, based on the Fourier transform and on the solution of inverse problem for all frequencies. In this method, one spatial position is assigned to each frequency component. Magnetic resonance images of the head were evaluated to annotate the space to be included in the analysis. The included space was divided into two parts: «brain» and «non-brain». The frequency components were classified by the feature of their inclusion in one or the other part. The set of frequencies, designated as «brain», represented the partial spectrum of the brain signal, while the set of frequencies designated as «non-brain», represented the partial spectrum of the physiological noise produced by the head. Both partial spectra shared the same frequency band. From the partial spectra, a time series of the «brain» area signal and «non-brain» area head noise were reconstructed. Summary spectral power of the signal was found to be twelve times greater than the noise. The …

Authors

Rodolfo R Llinás,Stanislav Rykunov,Kerry D Walton,Anna Boyko,Mikhail Ustinin

Journal

Frontiers in Neural Circuits

Published Date

2022/8/26

Study of the bacterial" conversations" and pattern formation in the quorum sensing system using numerical simulation

Cell-to-cell communication processes in the bacterial world can be considered as a collective bacterial behavior, which is coordinated by chemical signaling molecules (autoinducers, quorum sensing molecules, or pheromones). This complex biological process is termed the quorum sensing mechanism, which is considered a density-dependent bacterial communication system. As the bacterial culture grows, signal molecules are released into the extracellular milieu and accumulate, changing water fluidity. Under such threshold conditions, swimming bacterial suspensions impose a coordinated water movement on a length scale of the order of 10 to 100 micrometers compared with a bacterial size of the order of 3 micrometers. Here, we propose a non-local hydrodynamics of the quorum state and wave-like pattern formation using the forced Burgers equation with Kwak transformation. Such an approach resulted in …

Authors

Sarangam Majumdar,Sisir Roy,Rodolfo R Llinás

Journal

Journal of Human, Earth, and Future

Published Date

2022/5/31

Enhanced interplay of neuronal coherence and coupling in the dying human brain

The neurophysiological footprint of brain activity after cardiac arrest and during near-death experience (NDE) is not well understood. Although a hypoactive state of brain activity has been assumed, experimental animal studies have shown increased activity after cardiac arrest, particularly in the gamma-band. No study has yet investigated this matter in humans. Here, we present continuous electroencephalography (EEG) recording from a dying human brain, obtained from an 87-year-old patient undergoing cardiac arrest after traumatic subdural hematoma. An increase of absolute power in gamma activity in the narrow and broad bands and a decrease in theta power is seen after suppression of bilateral hemispheric responses. After cardiac arrest, delta, beta, alpha and gamma power were decreased but a higher percentage of relative gamma power was observed when compared to the interictal interval. Cross-frequency coupling revealed modulation of left-hemispheric gamma activity by alpha and theta rhythms across all windows, even after cessation of cerebral blood flow. The strongest coupling is observed for narrow- and broad-band gamma activity by the alpha waves during left-sided suppression and after cardiac arrest. Albeit the influence of neuronal injury and swelling, our data provide the first evidence from the dying human brain in a non-experimental, real-life acute care clinical setting and advocate that the human brain may possess the capability to generate coordinated activity during the near-death period.

Authors

Raul Vicente,Michael Rizzuto,Can Sarica,Kazuaki Yamamoto,Mohammed Sadr,Tarun Khajuria,Mostafa Fatehi,Farzad Moien-Afshari,Charles S Haw,Rodolfo R Llinas,Andres M Lozano,Joseph S Neimat,Ajmal Zemmar

Journal

Frontiers in aging neuroscience

Published Date

2022/2/22

The role of noise in brain function

In case of living organisms, the term ‘noise’ usually refers to the variance amongst measurements obtained from repeated identical experimental conditions, or from output signals from these systems. It is noteworthy that both these conditions are universally characterized by the presence of background fluctuations. In non-living systems, such as electronics or in communication sciences, where the aim is to send error-free messages, noise was generally regarded as a problem. The discovery of stochastic resonancesStochastic Resonance (SR) in nonlinear dynamics brought a shift of perception where noise, rather than representing a problem, became fundamental to system function, especially so in biology. The question now is: to what extent is biological function dependent on noise? Indeed, it seems feasible that noise also plays an important role in neuronal communication and oscillatory synchronization. Given …

Authors

Sisir Roy,Sarangam Majumdar

Published Date

2022/1/5

EL, a modern-day Phineas Gage: Revisiting frontal lobe injury

BackgroundHow the prefrontal cortex (PFC) recovers its functionality following lesions remains a conundrum. Recent work has uncovered the importance of transient low-frequency oscillatory activity (LFO; < 4 Hz) for the recovery of an injured brain. We aimed to determine whether persistent cortical oscillatory dynamics contribute to brain capability to support ‘normal life' following injury.MethodsIn this 9-year prospective longitudinal study (08/2012-2021), we collected data from the patient E.L., a modern-day Phineas Gage, who suffered from lesions, impacting 11% of his total brain mass, to his right PFC and supplementary motor area after his skull was transfixed by an iron rod. A systematic evaluation of clinical, electrophysiologic, brain imaging, neuropsychological and behavioural testing were used to clarify the clinical significance of relationship between LFO discharge and executive dysfunctions and compare …

Authors

Pedro HM de Freitas,Ruy C Monteiro,Raphael Bertani,Caio M Perret,Pedro C Rodrigues,Joana Vicentini,Tagore M Gonzalez de Morais,Stefano FA Rozental,Gustavo F Galvão,Fabricio de Mattos,Fernando A Vasconcelos,Ivan S Dorio,Cintya Y Hayashi,Jorge RL Dos Santos,Guilherme L Werneck,Carla T Ferreira Tocquer,Claudia Capitão,Luiz C Hygino da Cruz,Jaan Tulviste,Mario Fiorani,Marcos M da Silva,Wellingson S Paiva,Kenneth Podell,Howard J Federoff,Divyen H Patel,Fred Lado,Elkhonon Goldberg,Rodolfo Llinás,Michael VL Bennett,Renato Rozental

Journal

The Lancet Regional Health–Americas

Published Date

2022/10/1

Broadening the definition of a nervous system to better understand the evolution of plants and animals

Most textbook definitions recognize only animals as having nervous systems. However, for the past couple decades, botanists have been meticulously studying long-distance signaling systems in plants, and some researchers have stated that plants have a simple nervous system. Thus, an academic conflict has emerged between those who defend and those who deny the existence of a nervous system in plants. This article analyses that debate, and we propose an alternative to answering yes or no: broadening the definition of a nervous system to include plants. We claim that a definition broader than the current one, which is based only on a phylogenetic viewpoint, would be helpful in obtaining a deeper understanding of how evolution has driven the features of signal generation, transmission and processing in multicellular beings. Also, we propose two possible definitions and exemplify how broader a definition …

Authors

Sergio Miguel-Tomé,Rodolfo R Llinás

Published Date

2021/10/3

Professor FAQs

What is Rodolfo R. Llinas's h-index at New York University?

The h-index of Rodolfo R. Llinas has been 45 since 2020 and 140 in total.

What are Rodolfo R. Llinas's research interests?

The research interests of Rodolfo R. Llinas are: Neuroscience

What is Rodolfo R. Llinas's total number of citations?

Rodolfo R. Llinas has 77,104 citations in total.

What are the co-authors of Rodolfo R. Llinas?

The co-authors of Rodolfo R. Llinas are Mitsunori Fukuda, Denis Pare, Osvaldo Daniel Uchitel, Urs Ribary, Eric J. Lang, F.J. Urbano.

Co-Authors

H-index: 89
Mitsunori Fukuda

Mitsunori Fukuda

Tohoku University

H-index: 81
Denis Pare

Denis Pare

Rutgers, The State University of New Jersey

H-index: 40
Osvaldo Daniel Uchitel

Osvaldo Daniel Uchitel

Universidad de Buenos Aires

H-index: 38
Urs Ribary

Urs Ribary

Simon Fraser University

H-index: 37
Eric  J. Lang

Eric J. Lang

New York University

H-index: 33
F.J. Urbano

F.J. Urbano

Universidad de Buenos Aires

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