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X-WR-CALNAME;VALUE=TEXT:Eventi DIAG
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DTSTART:20171029T030000
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DTSTART:20180325T020000
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UID:calendar.12992.field_data.0@oba.diag.uniroma1.it
DTSTAMP:20260407T202148Z
CREATED:20180104T111225Z
DESCRIPTION:In the absence of a task\, the cerebral cortex exhibits slow fl
 uctuations of activity that are highly organized in large-scale spatio-tem
 poral structures or resting state networks (RSNs). Resting state fluctuati
 ons are of great interest since they have been linked to task related acti
 vity patterns. A fundamental question today is the functional role of spon
 taneous activity\, and what information\, if any\, is coded in these intri
 nsic patterns of correlated activity.In this talk\, I will present the ide
 a that the role of the intrinsic brain connectivity is to preserve and mai
 ntain an internal model of the environment that is built through the integ
 ration of information from visual and bodily inputs. Bodily inputs reflect
  the physical and the functional interaction that our body establishes wit
 h the external environment. In this vein\, the hand has a special role bec
 ause it is the primary means of interaction with the surrounding. This ide
 a is based on recent studies using Magnetoencephalography (MEG) - a method
  with high temporal resolution and good spatial resolution. Here\, we stud
 ied changes in static and dynamic functional connectivity\, topology and i
 ntegration measured with alpha and beta Band Limited Power (BLP) correlati
 on at rest or during the observation of normal or time-scrambled movie cli
 ps. We showed that the audiovisual stimulation reduced the connectivity in
  alpha\, reorganized the overall topology and changed the dynamics of noda
 l centrality. In contrast\, the beta band intrinsic topology and dynamics 
 of integration at rest were similar to those measured during the observati
 on of normal movie sequences but altered for time-scrambled movies. Taken 
 together\, these findings suggest that the similarity between network conn
 ectivity at rest and during natural vision reflects an adaptation of the s
 pontaneous activity to the naturalistic environment and common behaviors.
DTSTART;TZID=Europe/Paris:20180110T113000
DTEND;TZID=Europe/Paris:20180110T113000
LAST-MODIFIED:20200520T140415Z
LOCATION:Dipartimento di Ingegneria Informatica\, Automatica e Gestionale A
 ntonio Ruberti
SUMMARY:Resting state networks as spatio-temporal priors for natural vision
  - Dott. Viviana Betti
URL;TYPE=URI:http://oba.diag.uniroma1.it/node/12992
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