Mapping Psychopathology with fMRI and Effective Connectivity Analysis
There is a growing appreciation that many psychiatric (and neurological) conditions can be understood as functional disconnection syndromes – as reflected in aberrant functional integration and synaptic connectivity. This Research Topic considers recent advances in understanding psychopathology in t...
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| Format: | Online |
| Language: | English |
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Frontiers Media SA
2021
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| Online Access: | 24013 |
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| author | Baojuan Li Adeel Razi Karl J. Friston |
| author_browse | Adeel Razi Baojuan Li Karl J. Friston |
| author_facet | Baojuan Li Adeel Razi Karl J. Friston |
| author_sort | Baojuan Li |
| collection | Directory of Open Access Books |
| description | There is a growing appreciation that many psychiatric (and neurological) conditions can be understood as functional disconnection syndromes – as reflected in aberrant functional integration and synaptic connectivity. This Research Topic considers recent advances in understanding psychopathology in terms of aberrant effective connectivity – as measured noninvasively using functional magnetic resonance imaging (fMRI). Recently, there has been increasing interest in inferring directed connectivity (effective connectivity) from fMRI data. Effective connectivity refers to the influence that one neural system exerts over another and quantifies the directed coupling among brain regions – and how they change with pathophysiology. Compared to functional connectivity, effective connectivity allows one to understand how brain regions interact with each other in terms of context sensitive changes and directed coupling – and therefore may provide mechanistic insights into the neural basis of psychopathology. Established models of effective connectivity include psychophysiological interaction (PPI), structural equation modeling (SEM) and dynamic causal modelling (DCM). DCM is unique because it explicitly models the interaction among brain regions in terms of latent neuronal activity. Moreover, recent advances in DCM such as stochastic and spectral DCM, make it possible to characterize the interaction between different brain regions both at rest and during a cognitive task. |
| format | Online |
| id | doab-20.500.12854ir-52721 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Frontiers Media SA |
| publisherStr | Frontiers Media SA |
| record_format | ojs |
| spelling | doab-20.500.12854ir-527212024-04-05T17:31:17Z Mapping Psychopathology with fMRI and Effective Connectivity Analysis Baojuan Li Adeel Razi Karl J. Friston RC321-571 Q1-390 brain connectivity Granger causality analysis fMRI effective connectivity psychophysiological interaction dynamic causal modeling thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences There is a growing appreciation that many psychiatric (and neurological) conditions can be understood as functional disconnection syndromes – as reflected in aberrant functional integration and synaptic connectivity. This Research Topic considers recent advances in understanding psychopathology in terms of aberrant effective connectivity – as measured noninvasively using functional magnetic resonance imaging (fMRI). Recently, there has been increasing interest in inferring directed connectivity (effective connectivity) from fMRI data. Effective connectivity refers to the influence that one neural system exerts over another and quantifies the directed coupling among brain regions – and how they change with pathophysiology. Compared to functional connectivity, effective connectivity allows one to understand how brain regions interact with each other in terms of context sensitive changes and directed coupling – and therefore may provide mechanistic insights into the neural basis of psychopathology. Established models of effective connectivity include psychophysiological interaction (PPI), structural equation modeling (SEM) and dynamic causal modelling (DCM). DCM is unique because it explicitly models the interaction among brain regions in terms of latent neuronal activity. Moreover, recent advances in DCM such as stochastic and spectral DCM, make it possible to characterize the interaction between different brain regions both at rest and during a cognitive task. 2021-02-11T18:43:55Z 2021-02-11T18:43:55Z 2017-10-13 14:57:01 2017 book 24013 16648714 9782889452071 https://directory.doabooks.org/handle/20.500.12854/52721 eng Frontiers Research Topics image/jpeg Attribution 4.0 International http://www.frontiersin.org/books/Mapping_Psychopathology_with_fMRI_and_Effective_Connectivity_Analysis/1226#nogo http://journal.frontiersin.org/researchtopic/3471/mapping-psychopathology-with-fmri-and-effective-connectivity-analysis Frontiers Media SA 10.3389/978-2-88945-207-1 10.3389/978-2-88945-207-1 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889452071 140 open access |
| spellingShingle | RC321-571 Q1-390 brain connectivity Granger causality analysis fMRI effective connectivity psychophysiological interaction dynamic causal modeling thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences Baojuan Li Adeel Razi Karl J. Friston Mapping Psychopathology with fMRI and Effective Connectivity Analysis |
| title | Mapping Psychopathology with fMRI and Effective Connectivity Analysis |
| title_full | Mapping Psychopathology with fMRI and Effective Connectivity Analysis |
| title_fullStr | Mapping Psychopathology with fMRI and Effective Connectivity Analysis |
| title_full_unstemmed | Mapping Psychopathology with fMRI and Effective Connectivity Analysis |
| title_short | Mapping Psychopathology with fMRI and Effective Connectivity Analysis |
| title_sort | mapping psychopathology with fmri and effective connectivity analysis |
| topic | RC321-571 Q1-390 brain connectivity Granger causality analysis fMRI effective connectivity psychophysiological interaction dynamic causal modeling thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| topic_facet | RC321-571 Q1-390 brain connectivity Granger causality analysis fMRI effective connectivity psychophysiological interaction dynamic causal modeling thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| url | 24013 |
| work_keys_str_mv | AT baojuanli mappingpsychopathologywithfmriandeffectiveconnectivityanalysis AT adeelrazi mappingpsychopathologywithfmriandeffectiveconnectivityanalysis AT karljfriston mappingpsychopathologywithfmriandeffectiveconnectivityanalysis |