UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Aberrant temporal–spatial complexity of intrinsic fluctuations in major depression

Zheng, Kaizhong; Li, Baojuan; Lu, Hongbing; Wang, Huaning; Liu, Jin; Yan, Baoyu; Friston, Karl J; ... Li, Lingjiang; + view all (2023) Aberrant temporal–spatial complexity of intrinsic fluctuations in major depression. European Archives of Psychiatry and Clinical Neuroscience , 273 pp. 169-181. 10.1007/s00406-022-01403-x. Green open access

[thumbnail of Friston_CAP_manuscript.pdf]
Preview
Text
Friston_CAP_manuscript.pdf

Download (417kB) | Preview

Abstract

Accumulating evidence suggests that the brain is highly dynamic; thus, investigation of brain dynamics especially in brain connectivity would provide crucial information that stationary functional connectivity could miss. This study investigated temporal expressions of spatial modes within the default mode network (DMN), salience network (SN) and cognitive control network (CCN) using a reliable data-driven co-activation pattern (CAP) analysis in two independent data sets. We found enhanced CAP-to-CAP transitions of the SN in patients with MDD. Results suggested enhanced flexibility of this network in the patients. By contrast, we also found reduced spatial consistency and persistence of the DMN in the patients, indicating reduced variability and stability in individuals with MDD. In addition, the patients were characterized by prominent activation of mPFC. Moreover, further correlation analysis revealed that persistence and transitions of RCCN were associated with the severity of depression. Our findings suggest that functional connectivity in the patients may not be simply attenuated or potentiated, but just alternating faster or slower among more complex patterns. The aberrant temporal-spatial complexity of intrinsic fluctuations reflects functional diaschisis of resting-state networks as characteristic of patients with MDD.

Type: Article
Title: Aberrant temporal–spatial complexity of intrinsic fluctuations in major depression
Location: Germany
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s00406-022-01403-x
Publisher version: https://doi.org/10.1007/s00406-022-01403-x
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Brain network dynamic, Co-activation pattern analysis, Major depressive disorder (MDD), Resting-state functional networks, Temporal–spatial complexity of intrinsic fluctuations
UCL classification: UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
URI: https://discovery.ucl.ac.uk/id/eprint/10148470
Downloads since deposit
9Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item