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020 _a9781461468431
024 7 _a10.1007/978-1-4614-6843-1
_2doi
040 _aES-MaUEC
050 4 _aRC553.A88
_bI43 2013 EB
082 0 4 _a610
245 0 0 _aImaging the brain in autism
_cedited by Manuel F. Casanova, Ayman S. El-Baz, Jasjit S. Suri
260 _aNew York
_bSpringer International Publishing
_c2013
300 _a1 recurso en línea (XIV, 387 p.)
_b61 ilustraciones, 19 ilustraciones en color
336 _aTexto (visual)
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
505 0 _aIntroduction 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®{u2019}s Assessment Technology: A Mobile Infrastructure to Transform Autism Diagnosis and Treatment
520 _aData 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 subtypes of autism. The imaging modalities discussed in this book emphasize the power of new technology to uncover important clues about the condition with the hope of developing effective interventions. Imaging the Brain in Autism was created to examine autism from a unique perspective that would emphasize results from different imaging technologies. These techniques show brain abnormalities in a significant percentage of patients, abnormalities that translate into aberrant functioning and significant clinical symptomatology. It is our hope that this newfound understanding will make the field work collaborative and provide a path that minimizes technical impediments
942 _2lcc
_cLE
988 _aEBOOK, EBSPRINGERrevisado
650 7 _aAutismo
_0comprobar BNE19900994327
_2embne
_9141122
650 7 _aNeurología
_0comprobar BNE19900967585
_2embne
_9139040
650 7 _aDiagnóstico por imagen
_0comprobar BNE19900979140
_2embne
_9139972
700 1 _aCasanova, Manuel F.
_eeditor literario
_984723
_0Local
700 1 _aEl-Baz, Ayman S.
_eeditor literario
_984724
_0Local
700 1 _aSuri, Jasjit S.
_eeditor literario
_0Local
_984725
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-1-4614-6843-1
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901 _ai9781461468431
907 _a.b12815834
_b10-10-17
_c01-10-14
998 _am
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_a_vill
_b04-05-17
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_dz
_eb
_feng
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