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Combined neurostimulation and neuroimaging in cognitive neuroscience: past, present, and future

Bestmann, S. and Feredoes, E. (2013) Combined neurostimulation and neuroimaging in cognitive neuroscience: past, present, and future. Annals of the New York Academy of Sciences, 1296 (1). pp. 11-30. ISSN 1749-6632

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To link to this item DOI: 10.1111/nyas.12110


Modern neurostimulation approaches in humans provide controlled inputs into the operations of cortical regions, with highly specific behavioral consequences. This enables causal structure–function inferences, and in combination with neuroimaging, has provided novel insights into the basic mechanisms of action of neurostimulation on dis- tributed networks. For example,more recent work has established the capacity of transcranialmagnetic stimulation (TMS) to probe causal interregional influences, and their interaction with cognitive state changes. Combinations of neurostimulation and neuroimaging now face the challenge of integrating the known physiological effects of neu- rostimulationwith theoretical and biologicalmodels of cognition, for example,when theoretical stalemates between opposing cognitive theories need to be resolved. This will be driven by novel developments, including biologically informedcomputational network analyses for predicting the impactofneurostimulationonbrainnetworks, as well as novel neuroimaging and neurostimulation techniques. Such future developments may offer an expanded set of tools withwhich to investigate structure–function relationships, and to formulate and reconceptualize testable hypotheses about complex neural network interactions and their causal roles in cognition

Item Type:Article
Divisions:Life Sciences > School of Psychology and Clinical Language Sciences > Department of Psychology
ID Code:32407
Uncontrolled Keywords:state-dependence; effective connectivity; transcranial magnetic stimulation; causal inference; EEG; fMRI; MRS; computational neurostimulation
Publisher:Wiley Blackwell on behalf of the New York Academy of Sciences

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