publication . Article . Other literature type . 2008

Identifying neural drivers with functional MRI: an electrophysiological validation.

Antoine Depaulis; Olivier David;
Open Access English
  • Published: 23 Dec 2008 Journal: PLoS Biology (issn: 1544-9173, eissn: 1545-7885, Copyright policy)
  • Publisher: Public Library of Science (PLoS)
  • Country: France
Abstract
Author Summary Our understanding of how the brain works relies on the development of neuropsychological models, which describe how brain activity is coordinated among different regions during the execution of a given task. Knowing the directionality of information transfer between connected regions, and in particular distinguishing neural drivers, or the source of forward connections in the brain, from other brain regions, is critical to refine models of the brain. However, whether functional magnetic resonance imaging (fMRI), the most common technique for imaging brain function, allows one to identify neural drivers remains an open question. Here, we used a rat...
Subjects
Medical Subject Headings: nervous systembehavioral disciplines and activitiespsychological phenomena and processes
free text keywords: Biology (General), QH301-705.5, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Research Article, Computational Biology, Neurological Disorders, Neuroscience, Radiology and Medical Imaging, [ SDV.NEU ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], General Biochemistry, Genetics and Molecular Biology, General Immunology and Microbiology, General Neuroscience, General Agricultural and Biological Sciences
81 references, page 1 of 6

1. Dayan P, Abbott LF (2001) Theoretical neuroscience: computational and mathematical modeling of neural systems. Cambridge (Massachusetts): Massachusetts Institute of Technology Press. 460 p.

2. Engel AK, Fries P, Singer W (2001) Dynamic predictions: oscillations and synchrony in top-down processing. Nat Rev Neurosci 2: 704-716.

3. McIntosh AR (2000) Towards a network theory of cognition. Neural Netw 13: 861-870.

4. Salinas E, Sejnowski TJ (2001) Correlated neuronal activity and the flow of neural information. Nat Rev Neurosci 2: 539-550. [OpenAIRE]

5. Friston K (2003) Learning and inference in the brain. Neural Netw 16: 1325-1352.

6. Angelucci A, Bressloff PC (2006) Contribution of feedforward, lateral and feedback connections to the classical receptive field center and extraclassical receptive field surround of primate V1 neurons. Prog Brain Res 154: 93-120. [OpenAIRE]

7. Crick F, Koch C (1998) Constraints on cortical and thalamic projections: the no-strong-loops hypothesis. Nature 391: 245-250. [OpenAIRE]

8. Felleman DJ, Van Essen DC (1991) Distributed hierarchical processing in the primate cerebral cortex. Cereb Cortex 1: 1-47.

9. Sporns O, Tononi G, Edelman GM (2000) Theoretical neuroanatomy: relating anatomical and functional connectivity in graphs and cortical connection matrices. Cereb Cortex 10: 127-141. [OpenAIRE]

10. Engel J Jr (2004) Models of focal epilepsy. Suppl Clin Neurophysiol 57: 392- 399.

11. Friston KJ, Penny W, David O (2005) Modeling brain responses. Int Rev Neurobiol 66: 89-124. [OpenAIRE]

12. Buchel C, Friston K (2001) Interactions among neuronal systems assessed with functional neuroimaging. Rev Neurol (Paris) 157: 807-815. [OpenAIRE]

13. David O, Cosmelli D, Friston KJ (2004) Evaluation of different measures of functional connectivity using a neural mass model. Neuroimage 21: 659- 673. [OpenAIRE]

14. Friston KJ, Harrison L, Penny W (2003) Dynamic causal modelling. Neuroimage 19: 1273-1302.

15. McIntosh AR, Gonzalez-Lima F (1994) Network interactions among limbic cortices, basal forebrain, and cerebellum differentiate a tone conditioned as a Pavlovian excitor or inhibitor: fluorodeoxyglucose mapping and covariance structural modeling. J Neurophysiol 72: 1717-1733.

81 references, page 1 of 6
Related research
Abstract
Author Summary Our understanding of how the brain works relies on the development of neuropsychological models, which describe how brain activity is coordinated among different regions during the execution of a given task. Knowing the directionality of information transfer between connected regions, and in particular distinguishing neural drivers, or the source of forward connections in the brain, from other brain regions, is critical to refine models of the brain. However, whether functional magnetic resonance imaging (fMRI), the most common technique for imaging brain function, allows one to identify neural drivers remains an open question. Here, we used a rat...
Subjects
Medical Subject Headings: nervous systembehavioral disciplines and activitiespsychological phenomena and processes
free text keywords: Biology (General), QH301-705.5, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Research Article, Computational Biology, Neurological Disorders, Neuroscience, Radiology and Medical Imaging, [ SDV.NEU ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], General Biochemistry, Genetics and Molecular Biology, General Immunology and Microbiology, General Neuroscience, General Agricultural and Biological Sciences
81 references, page 1 of 6

1. Dayan P, Abbott LF (2001) Theoretical neuroscience: computational and mathematical modeling of neural systems. Cambridge (Massachusetts): Massachusetts Institute of Technology Press. 460 p.

2. Engel AK, Fries P, Singer W (2001) Dynamic predictions: oscillations and synchrony in top-down processing. Nat Rev Neurosci 2: 704-716.

3. McIntosh AR (2000) Towards a network theory of cognition. Neural Netw 13: 861-870.

4. Salinas E, Sejnowski TJ (2001) Correlated neuronal activity and the flow of neural information. Nat Rev Neurosci 2: 539-550. [OpenAIRE]

5. Friston K (2003) Learning and inference in the brain. Neural Netw 16: 1325-1352.

6. Angelucci A, Bressloff PC (2006) Contribution of feedforward, lateral and feedback connections to the classical receptive field center and extraclassical receptive field surround of primate V1 neurons. Prog Brain Res 154: 93-120. [OpenAIRE]

7. Crick F, Koch C (1998) Constraints on cortical and thalamic projections: the no-strong-loops hypothesis. Nature 391: 245-250. [OpenAIRE]

8. Felleman DJ, Van Essen DC (1991) Distributed hierarchical processing in the primate cerebral cortex. Cereb Cortex 1: 1-47.

9. Sporns O, Tononi G, Edelman GM (2000) Theoretical neuroanatomy: relating anatomical and functional connectivity in graphs and cortical connection matrices. Cereb Cortex 10: 127-141. [OpenAIRE]

10. Engel J Jr (2004) Models of focal epilepsy. Suppl Clin Neurophysiol 57: 392- 399.

11. Friston KJ, Penny W, David O (2005) Modeling brain responses. Int Rev Neurobiol 66: 89-124. [OpenAIRE]

12. Buchel C, Friston K (2001) Interactions among neuronal systems assessed with functional neuroimaging. Rev Neurol (Paris) 157: 807-815. [OpenAIRE]

13. David O, Cosmelli D, Friston KJ (2004) Evaluation of different measures of functional connectivity using a neural mass model. Neuroimage 21: 659- 673. [OpenAIRE]

14. Friston KJ, Harrison L, Penny W (2003) Dynamic causal modelling. Neuroimage 19: 1273-1302.

15. McIntosh AR, Gonzalez-Lima F (1994) Network interactions among limbic cortices, basal forebrain, and cerebellum differentiate a tone conditioned as a Pavlovian excitor or inhibitor: fluorodeoxyglucose mapping and covariance structural modeling. J Neurophysiol 72: 1717-1733.

81 references, page 1 of 6
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