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Relating fMRI and PET signals to neural activity by means of large-scale neural models

Relating fMRI and PET signals to neural activity by means of large-scale neural models This article reviews the four ways by which large-scale, neurobiologically realistic modeling can be used in conjunction with functional neuroimaging data, especially that obtained by functional magnetic resonance imaging (fMRI) and positron emission tomography (PET), to help investigators understand the neural bases for sensorimotor and cognitive functions. The conceptually distinct purposes served are: (1) formulating and implementing specific hypotheses about how neuronal populations mediate a task, which will be illustrated using models of visual and auditory object processing; (2) determining how well an experimental design paradigm or analysis method works, which will be illustrated by examining event-related fMRI; (3) investigating the meaning in neural terms of macro-level concepts, which will be illustrated using functional connectivity; and (4) combining different types of macroscopic data with one another, which will be illustrated using transcranial magnetic stimulation (TMS) and PET. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Neuroinformatics Springer Journals

Relating fMRI and PET signals to neural activity by means of large-scale neural models

Horwitz, Barry
Neuroinformatics , Volume 2 (2) – Jun 1, 2004
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16 pages

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Publisher
Springer Journals
Copyright
Copyright © Humana Press Inc 2004
ISSN
1539-2791
eISSN
1559-0089
DOI
10.1385/ni:2:2:251
Publisher site
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Abstract

This article reviews the four ways by which large-scale, neurobiologically realistic modeling can be used in conjunction with functional neuroimaging data, especially that obtained by functional magnetic resonance imaging (fMRI) and positron emission tomography (PET), to help investigators understand the neural bases for sensorimotor and cognitive functions. The conceptually distinct purposes served are: (1) formulating and implementing specific hypotheses about how neuronal populations mediate a task, which will be illustrated using models of visual and auditory object processing; (2) determining how well an experimental design paradigm or analysis method works, which will be illustrated by examining event-related fMRI; (3) investigating the meaning in neural terms of macro-level concepts, which will be illustrated using functional connectivity; and (4) combining different types of macroscopic data with one another, which will be illustrated using transcranial magnetic stimulation (TMS) and PET.

Journal

Neuroinformatics – Springer Journals

Published: Jun 1, 2004

Keywords: Brain; neural modeling; functional imaging; network; cognition

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