Gian Luca Romani

ORCID: 0000-0003-0390-3224
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About
Contact & Profiles
Research Areas
  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • Neural dynamics and brain function
  • Advanced MRI Techniques and Applications
  • Neural and Behavioral Psychology Studies
  • Transcranial Magnetic Stimulation Studies
  • Infrared Thermography in Medicine
  • Atomic and Subatomic Physics Research
  • Motor Control and Adaptation
  • Action Observation and Synchronization
  • Visual perception and processing mechanisms
  • Blind Source Separation Techniques
  • Heart Rate Variability and Autonomic Control
  • Muscle activation and electromyography studies
  • Thermoregulation and physiological responses
  • Advanced Neuroimaging Techniques and Applications
  • Psychosomatic Disorders and Their Treatments
  • Multisensory perception and integration
  • Neuroscience and Music Perception
  • Systemic Sclerosis and Related Diseases
  • ECG Monitoring and Analysis
  • Neonatal and fetal brain pathology
  • Pain Mechanisms and Treatments
  • Magnetic Field Sensors Techniques
  • Face Recognition and Perception

University of Chieti-Pescara
2016-2025

Medical Technologies (Czechia)
2007-2014

Foundation University Islamabad
2004-2013

Tecnologie Avanzate (Italy)
2000-2012

Italian Institute of Technology
2012

University Foundation
2004-2010

Institute of Biomedical Technologies
2009

University of Hawaiʻi at Mānoa
2006

Istituto Nazionale per la Fisica della Materia
2000-2004

Institute for Technologies Applied to Cultural Heritage
2004

Functional neuroimaging and electrophysiological studies have documented a dynamic baseline of intrinsic (not stimulus- or task-evoked) brain activity during resting wakefulness. This is characterized by slow (<0.1 Hz) fluctuations functional imaging signals that are topographically organized in discrete networks, much faster (1-80 electrical oscillations. To investigate the relationship between hemodynamic oscillations, we adopted completely data-driven approach combines information from...

10.1073/pnas.0700668104 article EN Proceedings of the National Academy of Sciences 2007-08-02

The brain is not a passive sensory-motor analyzer driven by environmental stimuli, but actively maintains ongoing representations that may be involved in the coding of expected sensory prospective motor responses, and prior experience. Spontaneous cortical activity has been proposed to play an important part maintaining these ongoing, internal representations, although its functional role well understood. One spontaneous signal being intensely investigated human interregional temporal...

10.1073/pnas.0902455106 article EN Proceedings of the National Academy of Sciences 2009-10-06

Functional MRI (fMRI) studies have shown that low-frequency (&lt;0.1 Hz) spontaneous fluctuations of the blood oxygenation level dependent (BOLD) signal during restful wakefulness are coherent within distributed large-scale cortical and subcortical networks (resting state networks, RSNs). The neuronal mechanisms underlying RSNs remain poorly understood. Here, we describe magnetoencephalographic correspondents two well-characterized RSNs: dorsal attention default mode networks. Seed-based...

10.1073/pnas.0913863107 article EN Proceedings of the National Academy of Sciences 2010-03-16

Brain fluctuations at rest are not random but structured in spatial patterns of correlated activity across different brain areas. The question how resting-state functional connectivity (FC) emerges from the brain's anatomical connections has motivated several experimental and computational studies to understand structure-function relationships. However, mechanistic origin resting state is obscured by large-scale models' complexity, a close relation still an open problem. Thus, realistic...

10.1523/jneurosci.1091-13.2013 article EN Journal of Neuroscience 2013-07-03

The default mode network (DMN) is often considered a functionally homogeneous system that broadly associated with internally directed cognition (e.g., episodic memory, theory of mind, self-evaluation). However, few studies have examined how this interacts other networks during putative "default" processes such as memory retrieval. Using functional magnetic resonance imaging, we investigated the topography and response profile human parietal regions inside outside DMN, independently defined...

10.1523/jneurosci.3335-10.2011 article EN cc-by-nc-sa Journal of Neuroscience 2011-03-23

Neuromagnetic measurements of responses to auditory stimuli consisting pure tones amplitude-modulated at a low frequency have been used deduce the location cortical activity. The evoked field source systematically increased in depth beneath scalp with increasing tone. tonotopic progression can be described as logarithmic mapping.

10.1126/science.7079770 article EN Science 1982-06-18

A dorsal frontoparietal network, including regions in intraparietal sulcus (IPS) and frontal eye field (FEF), has been hypothesized to control the allocation of spatial attention environmental stimuli. One putative mechanism is desynchronization electroencephalography (EEG) alpha rhythms (∼8–12 Hz) visual cortex anticipation a target. We show that brief interference by repetitive transcranial magnetic stimulation (rTMS) with preparatory activity right IPS or FEF while subjects attend...

10.1523/jneurosci.0539-09.2009 article EN cc-by-nc-sa Journal of Neuroscience 2009-05-06

The spontaneous activity of the brain shows different features at scales. On one hand, neuroimaging studies show that long-range correlations are highly structured in spatiotemporal patterns, known as resting-state networks, on other neurophysiological reports short-range between neighboring neurons low, despite a large amount shared presynaptic inputs. Different dynamical mechanisms local decorrelation have been proposed, among which is feedback inhibition. Here, we investigated effect...

10.1523/jneurosci.5068-13.2014 article EN Journal of Neuroscience 2014-06-04

People differ in their ability to perform novel perceptual tasks, both during initial exposure and the rate of improvement with practice. It is also known that regions brain recruited by particular tasks change activity learning. Here we investigate neural signals predictive individual variability performance. We used resting-state functional MRI assess connectivity before training on a visual discrimination task. Subsequent task performance was related measures within portions cortex...

10.1073/pnas.1113148109 article EN Proceedings of the National Academy of Sciences 2012-02-06

Impaired understanding of others' sensations and emotions as well abnormal experience their own is frequently reported in individuals with Autism Spectrum Disorder (ASD).It hypothesized that these abnormalities are based on altered connectivity within ''shared'' neural networks involved emotional awareness self others.The insula considered a central brain region network underlying functions, being located at the transition information about bodily arousal physiological state body to...

10.1002/hbm.21085 article EN Human Brain Mapping 2010-07-19

Primate evolution has been accompanied by complex reorganizations in brain anatomy and function. Little is known, however, about the relationship between anatomical functional changes induced through primate evolution. Using magnetic resonance imaging, we assessed spatial temporal correspondences of cortical networks humans monkeys. We provided evidence for topologically functionally correspondent sensory-motor attention regions. More specifically, revealed a possible monkey equivalent human...

10.1523/jneurosci.4392-12.2013 article EN cc-by-nc-sa Journal of Neuroscience 2013-02-20

Spatial patterns of coherent activity across different brain areas have been identified during the resting-state fluctuations brain. However, recent studies indicate that is not stationary, but shows complex temporal dynamics. We were interested in spatiotemporal dynamics phase interactions among fMRI BOLD signals from human subjects. found global synchrony evolves on a characteristic ultra-slow (<0.01Hz) time scale, and its variations reflect transient formation dissolution multiple...

10.1371/journal.pcbi.1004100 article EN public-domain PLoS Computational Biology 2015-02-18

Abstract This electroencephalographic (EEG) study tested whether cortical EEG rhythms (especially delta and alpha) show a progressive increasing or decreasing trend across physiological aging. To this aim, we analyzed the type of correlation (linear nonlinear) between age. Resting eyes‐closed data were recorded in 108 young (Nyoung; age range: 18–50 years, mean 27.3 ± 7.3 SD) 107 elderly (Nold; 51–85 67.3 9.2 subjects. The interest (2–4 Hz), theta (4–8 alpha 1 (8–10.5 2 (10.5–13 beta (13–20...

10.1002/hbm.20175 article EN Human Brain Mapping 2005-08-17

Abstract Previous studies have shown a shared neural circuitry in the somatosensory cortices for experience of one's own body being touched and sight intentional touch. Using functional magnetic resonance imaging (fMRI), present study aimed to elucidate whether activation visuotactile mirroring mechanism during touch observation applies any touch, that is, it is independent intentionality observed touching agent. During fMRI scanning, healthy participants viewed video clips depicting was or...

10.1162/jocn.2008.20111 article EN Journal of Cognitive Neuroscience 2008-03-17
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