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Record Nr. |
UNINA9910741183203321 |
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Titolo |
Imaging the brain in autism / / Manuel F. Casanova, Ayman S. El-Baz, Jasjit S. Suri, editors |
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Pubbl/distr/stampa |
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New York, : Springer, 2013 |
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ISBN |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (xiv, 387 pages) : illustrations (some color) |
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Collana |
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Altri autori (Persone) |
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CasanovaManuel F |
El-BazAyman S |
SuriJasjit S |
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Disciplina |
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Soggetti |
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Autism spectrum disorders - Imaging |
Brain - Imaging |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Introduction to Neuropathology -- The Neuropathology of Autism -- QEEG-Guided Neurofeedback for the Autism: Clinical Observations and Outcomes -- Event-Related Potential Studies of Cognitive Processing Abnormalities in Autism -- Evoked and Induced Gamma Frequency Oscillations in Autism -- Neurofeedback for Autistic Disorders: Emerging Empirical Evidence -- Structural Imaging in Autism -- Diffusion Tensor Magnetic Resonance Imaging in Autism -- Spectroscopic Brain Imaging in Autism -- Functional MRI in Autism -- Functional Connectivity MRI in Autism -- EEG Analyses in the Assessment of Autistic Disorders -- Behavior Imaging®’s Assessment Technology. |
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Sommario/riassunto |
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Data compiled by the Center for Disease Control and Prevention indicates an alarming and continuing increase in the prevalence of autism. Despite intensive research during the last few decades, autism remains a behavioral defined syndrome wherein diagnostic criteria lack in construct validity. And, contrary to other conditions like diabetes and hypertension, there are no biomarkers for autism. However, new imaging methods are changing the way we think about autism, bringing us closer to a falsifiable definition for the condition, identifying affected individuals earlier in life, and recognizing different |
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