By Roberto Cabeza, Alan Kingstone
The instruction manual was once written with different types of readers in brain: those people who are really new to practical neuroimaging and/or cognitive neuroscience, and those that are trying to find to extend their realizing of cognitive and mind platforms. it truly is our wish, and goal, that this distinct mix of intensity and breadth will render the publication appropriate for either the scholar and the demonstrated scientist alike. With a balanced mix of theoretical and empirical fabric, the guide should still function a necessary source at the sensible neuroimaging of cognitive methods, and at the newest discoveries received via positron emission tomography (PET) and sensible magnetic resonance imaging (fMRI). certainly, lately the sector of sensible neuroimaging of cognition has actually exploded. From below a dozen papers in 1994, the variety of courses during this zone elevated to approximately 70 in 1995, and to greater than three hundred in 1999 (Cabeza & Nyberg, 2000, magazine of Cognitive Neuroscience, 12, 1–47). This guide offers the reader with a accomplished yet concise account of this swiftly transforming into literature.
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Additional resources for Handbook of Functional Neuroimaging of Cognition
General methods and intrasubject, intramodality validation. Journal of Computer Assisted Tomography 22, 139–152. , Aguirre, G. , & D’Esposito, M. (1997). A trial-based experimental design for fMRI. NeuroImage 6, 122–138. 3 Functional Neuroimaging: Network Analyses L. Nyberg and A. R. McIntosh INTRODUCTION This chapter emphasizes how we can understand the neurobiology of cognition from the perspective of interacting neural systems. Part of the emphasis is on analyses of functional neuroimaging data that attempt to identify how the inﬂuences which brain regions have on one another change across different cognitive and behavioral operations.
Petersen, S. E. (1996). Functional anatomic studies of memory retrieval for auditory words and visual pictures. Journal of Neuroscience 16, 6219–6235. Burock, M. , Buckner, R. , Woldorff, M. , Rosen, B. , & Dale, A. M. (1998). Randomized eventrelated experimental designs allow for extremely rapid presentation rates using functional MRI. NeuroReport 9, 3735–3739. , Grady, C. , McIntosh, A. , et al. (1997). Age-related differences in neural activity during memory encoding and retrieval: A positron emission tomography study.
R. McIntosh INTRODUCTION This chapter emphasizes how we can understand the neurobiology of cognition from the perspective of interacting neural systems. Part of the emphasis is on analyses of functional neuroimaging data that attempt to identify how the inﬂuences which brain regions have on one another change across different cognitive and behavioral operations. Henceforth, such analyses will be referred to as network analyses. We will start by outlining the theoretical motivation for network analyses; next, we will discuss various statistical methods that can be used.