Imaging has become an increasingly important tool in both research and clinical care. A range of neuroimaging technologies provide unprecedented sensitivity to visualisation of brain structure (i.e. anatomy) and function (i.e. physiology) from the level of individual molecules to the whole brain. Many imaging methods are non-invasive and allow dynamic processes to be monitored over time. Imaging is enabling researchers to identify neural networks involved in cognitive processes; understand disease pathways; recognise and diagnose diseases early, when they are most effectively treated; and determine how therapies work. The cognitive neuroscience of higher order auditory processing has advanced enormously in a brief time, in large part benefiting from neuroimaging approaches. A significant amount of progress has been made, and much of it can be attributed to the possibilities for crossing boundaries afforded by neuroimaging tools. More sophisticated experiments combined with fMRI and EEG are helping to know what the brain is doing as people perform cognitive, emotional, and behavioural actions. MEG technology will allow linguists to explore how social interaction and sensorimotor experience affects the cortical processing of language in children; and the combination of behavioural and brain measures may enhance the certainty with which dyslexia can be predicted for a child and promote the possibility of preventive intervention.

Neuroimaging: mania, revolution, or technological evolution? - A critical review

Marzi;Claudia
2012

Abstract

Imaging has become an increasingly important tool in both research and clinical care. A range of neuroimaging technologies provide unprecedented sensitivity to visualisation of brain structure (i.e. anatomy) and function (i.e. physiology) from the level of individual molecules to the whole brain. Many imaging methods are non-invasive and allow dynamic processes to be monitored over time. Imaging is enabling researchers to identify neural networks involved in cognitive processes; understand disease pathways; recognise and diagnose diseases early, when they are most effectively treated; and determine how therapies work. The cognitive neuroscience of higher order auditory processing has advanced enormously in a brief time, in large part benefiting from neuroimaging approaches. A significant amount of progress has been made, and much of it can be attributed to the possibilities for crossing boundaries afforded by neuroimaging tools. More sophisticated experiments combined with fMRI and EEG are helping to know what the brain is doing as people perform cognitive, emotional, and behavioural actions. MEG technology will allow linguists to explore how social interaction and sensorimotor experience affects the cortical processing of language in children; and the combination of behavioural and brain measures may enhance the certainty with which dyslexia can be predicted for a child and promote the possibility of preventive intervention.
Campo DC Valore Lingua
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC -
dc.authority.people Marzi it
dc.authority.people Claudia it
dc.collection.id.s 95773a9f-8d06-4466-a951-5d4e15d70690 *
dc.collection.name 08.04 Rapporto tecnico *
dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
dc.contributor.appartenenza.mi 918 *
dc.date.accessioned 2024/02/16 19:48:04 -
dc.date.available 2024/02/16 19:48:04 -
dc.date.issued 2012 -
dc.description.abstracteng Imaging has become an increasingly important tool in both research and clinical care. A range of neuroimaging technologies provide unprecedented sensitivity to visualisation of brain structure (i.e. anatomy) and function (i.e. physiology) from the level of individual molecules to the whole brain. Many imaging methods are non-invasive and allow dynamic processes to be monitored over time. Imaging is enabling researchers to identify neural networks involved in cognitive processes; understand disease pathways; recognise and diagnose diseases early, when they are most effectively treated; and determine how therapies work. The cognitive neuroscience of higher order auditory processing has advanced enormously in a brief time, in large part benefiting from neuroimaging approaches. A significant amount of progress has been made, and much of it can be attributed to the possibilities for crossing boundaries afforded by neuroimaging tools. More sophisticated experiments combined with fMRI and EEG are helping to know what the brain is doing as people perform cognitive, emotional, and behavioural actions. MEG technology will allow linguists to explore how social interaction and sensorimotor experience affects the cortical processing of language in children; and the combination of behavioural and brain measures may enhance the certainty with which dyslexia can be predicted for a child and promote the possibility of preventive intervention. -
dc.description.affiliations Institute for Computational Linguistics, Italian National Research Council (CNR-ILC, Pisa) -
dc.description.allpeople Marzi, Claudia; Marzi, Claudia -
dc.description.allpeopleoriginal Marzi, Claudia -
dc.description.fulltext none en
dc.description.note Rassegna critica su Neuro-immagini: tecnologie, protocolli e applicazioni per lo studio dei processi linguistici -
dc.description.numberofauthors 2 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/130253 -
dc.language.iso eng -
dc.subject.keywords Neuroimaging technologies -
dc.subject.keywords Cognitive neuroscience -
dc.subject.keywords Language studies -
dc.subject.singlekeyword Neuroimaging technologies *
dc.subject.singlekeyword Cognitive neuroscience *
dc.subject.singlekeyword Language studies *
dc.title Neuroimaging: mania, revolution, or technological evolution? - A critical review en
dc.type.driver info:eu-repo/semantics/other -
dc.type.full 08 Report e Working Paper::08.04 Rapporto tecnico it
dc.type.miur -2.0 -
dc.ugov.descaux1 221751 -
iris.orcid.lastModifiedDate 2024/04/04 14:47:42 *
iris.orcid.lastModifiedMillisecond 1712234862168 *
iris.sitodocente.maxattempts 1 -
Appare nelle tipologie: 08.04 Rapporto tecnico
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/130253
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