header
Image from OpenLibrary

Human brain dynamic investigation based on functional magnetic resonance imaging / Ashraf Mahroos Said Saba ; Supervised Yasser Mostafa Kadah

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Ashraf Mahroos Said Saba , 2011Description: 134 P. : charts , facsimiles ; 30cmOther title:
  • استخدام الرنين المغناطيسى الوظيفى فى استنتاج ديناميكية عمل مخ الانسان [Added title page title]
Subject(s): Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering Summary: We propose a model that describes the interactions of several brain regions based on functional magnetic resonance imaging (FMRI) time series to make inferences about functional integration and segregation within the human brain . This method is demonstrated using dynamic causal modeling (DCM) augmented by granger causality (GC) using real data to show how such models are able to characterize interregional dependence
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.03.Ph.D.2011.As.H (Browse shelf(Opens below)) Not for loan 01010110056586000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.03.Ph.D.2011.As.H (Browse shelf(Opens below)) 56586.CD Not for loan 01020110056586000

Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering

We propose a model that describes the interactions of several brain regions based on functional magnetic resonance imaging (FMRI) time series to make inferences about functional integration and segregation within the human brain . This method is demonstrated using dynamic causal modeling (DCM) augmented by granger causality (GC) using real data to show how such models are able to characterize interregional dependence

Issued also as CD

There are no comments on this title.

to post a comment.