Investigating cognitive flexibility deficit in schizophrenia using task-based whole-brain functional connectivity

Wang, Yanqing; Hu, Xiucai; Li, Yilu

doi:10.3389/fpsyt.2022.1069036

Cited by 5 publications

(1 citation statement)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The loss of heterogeneity observed in patients, particularly in the remitting-relapsing group, could reflect a loss of functional flexibility due to increased structural constraints 49 , which may have clinical implications, particularly in the long term. In particular, as discussed in previous works, this could contribute to impairments in cognitive flexibility reported in patients 50 .…”

Section: Alterations In Network Properties and Potential Compensatory...mentioning

confidence: 63%

Brain network connectivity underlying remission in early psychosis: a whole brain model approach

Mana,

López-González,

Alemán-Gómez

et al. 2023

Preprint

View full text Add to dashboard Cite

BackgroundAlterations in brain connectivity occur early during psychosis and underlie the clinical manifestations of the illness as well as patient functioning and outcome. After a first episode of psychosis (FEP), different trajectories are possible and best described by the clinical-staging model that places the patient along a continuum of conditions: from non-remitting chronic symptoms to full-remission, often followed by relapses. However, little is known about the differences in brain connectivity that could underlie these differences in clinical outcome.MethodsIn this study, we included resting-state fMRI and DSI data from a cohort of 128 healthy controls (HC) and 88 patients with early psychosis (EP) stratified based on their ability to remit after the FEP. In particular we focused on differences between stage IIIb,c remitting-relapsing (EP3R) and stage IIIa non-remitting (EP3NR) patients. We investigated alterations in resting-state functional connectivity (FC), and combined information derived from fMRI and DSI into generative whole-brain models of each condition to explore the underlying mechanisms.ResultsOpposite alterations in FC could be found in patients as compared to HC, depending on their stage. In non-remitting patients (EP3NR), we observed a reduction of FC, aligned with the reduced structural connectivity found in previous studies, while remitting-relapsing patients (EP3R) showed increased FC, potentially indicating a relevant compensatory mechanism. By means of a whole-brain network model, we showed that in HC a subset of areas is characterized by increased stability to prevent an oversynchronisation of the network, while in EP3 patients such property is lost. This alteration was more relevant in the EP3R than in EP3NR patients, probably indicating a compensatory response to the reduced effective conductivity (global coupling) highlighted by the model in both EP3 conditions as compared to controls.ConclusionsThese findings highlight the significance of categorizing patients into subgroups based on the progression of their psychotic disorders, providing insights into the factors contributing to heterogeneity in functional alterations. They enhance our understanding of the interplay between structural and functional properties, shedding light on the mechanisms of psychosis emergence, remission and progression, with potential implications for future therapeutic advancements.

show abstract

Section: Alterations In Network Properties and Potential Compensatory...mentioning

confidence: 63%

Brain network connectivity underlying remission in early psychosis: a whole brain model approach

Mana,

López-González,

Alemán-Gómez

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

Progressive Changes in Functional Connectivity between Thalamic Nuclei and Cortical Networks Across Learning

Jarrett,

Zwosta,

Wang

et al. 2024

Preprint

View full text Add to dashboard Cite

The thalamus is connected to cerebral cortex and subcortical regions, serving as a node within cognitive networks. It is a heterogeneous structure formed of functionally distinct nuclei with unique connectivity patterns. However, their contributions to cognitive functioning within networks is poorly understood. Recent animal research suggests that thalamic nuclei such as the mediodorsal nucleus play critical roles in goal-directed behaviour. Our aim was to investigate how functional integration of thalamic nuclei within cortical and subcortical networks changes whilst transitioning from more controlled goal-directed behaviour towards more automatic or habitual behaviour in humans. We analysed functional magnetic resonance imaging (fMRI) data from a stimulus-response learning study to investigate functional connectivity (FC) changes across learning between thalamic nuclei with cortical networks and subcortical structures in healthy subjects. We defined subcortical regions-of-interest (ROIs) individually in native space, segmenting the thalamus into 47 nuclei and segmenting 38 subregions within the basal ganglia and hippocampus. Additionally, we defined 12 cerebral cortex ROIs via maximum-probability network templates. Learning-related connectivity changes were examined via ROI-to-ROI functional network analysis. Our results showed that learning was associated with: 1) decreasing FC between the frontoparietal network and higher order thalamic nuclei; 2) increasing FC between the cingulo-opercular network and pulvinar nuclei, 3) decreasing FC between the default mode network (DMN) and right mediodorsal nuclei; 4) increasing FC between the DMN and left mediodorsal nuclei, and 5) increasing intrathalamic FC. Together, this suggests that several thalamic nuclei are involved in the learning-related transition from controlled to more automatic behaviour.

show abstract

Cognitive flexibility and affective flexibility: Processing mechanisms and impact on mental health

Tan,

Cheng,

Kang

et al. 2024

Chin. Sci. Bull.

View full text Add to dashboard Cite

Investigating cognitive flexibility deficit in schizophrenia using task-based whole-brain functional connectivity

Cited by 5 publications

References 58 publications

Brain network connectivity underlying remission in early psychosis: a whole brain model approach

Brain network connectivity underlying remission in early psychosis: a whole brain model approach

Progressive Changes in Functional Connectivity between Thalamic Nuclei and Cortical Networks Across Learning

Cognitive flexibility and affective flexibility: Processing mechanisms and impact on mental health

Contact Info

Product

Resources

About