Network modeling of resting state connectivity points towards the bottom up theories of schizophrenia

Orliac, François; Delamillieure, Pascal; Delcroix, Nicolas; Naveau, Mikaël; Brazo, P.; Razafimandimby, Annick; Dollfus, Sonia; Joliot, Marc

doi:10.1016/j.pscychresns.2017.04.003

Cited by 13 publications

(7 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The inability to accurately initiate and maintain the task process might cause abnormal attention allocation. This result is consistent with those obtained by Orliac, who discovered a pronounced effect of reduced functional connectivity in the visual, auditory, and cross-modal binding networks in patients with schizophrenia ( 48 ).…”

Section: Discussionsupporting

confidence: 93%

Abnormal Brain Network Interaction Associated With Positive Symptoms in Drug-Naive Patients With First-Episode Schizophrenia

Liu

et al. 2022

Front. Psychiatry

View full text Add to dashboard Cite

Positive symptoms are marked features of schizophrenia, and emerging evidence has suggested that abnormalities of the brain network underlying these symptoms may play a crucial role in the pathophysiology of the disease. We constructed two brain functional networks based on the positive and negative correlations between positive symptom scores and brain connectivity in drug-naive patients with first-episode schizophrenia (FES, n = 45) by using a machine-learning approach (connectome-based predictive modeling, CPM). The accuracy of the model was r = 0.47 (p = 0.002). The positively and negatively associated network strengths were then compared among FES subjects, individuals at genetic high risk (GHR, n = 41) for schizophrenia, and healthy controls (HCs, n = 48). The results indicated that the positively associated network contained more cross-subnetwork connections (96.02% of 176 edges), with a focus on the default-mode network (DMN)-salience network (SN) and the DMN-frontoparietal task control (FPT) network. The negatively associated network had fewer cross-subnetwork connections (71.79% of 117 edges) and focused on the sensory/somatomotor hand (SMH)-Cingulo opercular task control (COTC) network, the DMN, and the visual network with significantly decreased connectivity in the COTC-SMH network in FES (FES < GHR, p = 0.01; FES < HC, p = 0.01). Additionally, the connectivity strengths of the right supplementary motor area (SMA) (p < 0.001) and the right precentral gyrus (p < 0.0001) were reduced in FES. To the best of our knowledge, this is the first study to generate two brain networks associated with positive symptoms by utilizing CPM in FES. Abnormal segregation, interactions of brain subnetworks, and impaired SMA might lead to salience attribution abnormalities and, thus, as a result, induce positive symptoms in schizophrenia.

show abstract

Section: Discussionsupporting

confidence: 93%

Abnormal Brain Network Interaction Associated With Positive Symptoms in Drug-Naive Patients With First-Episode Schizophrenia

Liu

et al. 2022

Front. Psychiatry

View full text Add to dashboard Cite

show abstract

“…However, two studies ( Britz et al, 2010 ; Milz et al, 2016 ) contributed to characterize this MS as the one related to the RSN devoted to extrinsic processing, i.e., to the M2 system according to Doucet et al (2011) . This network is involved in processing of signals from the external world ( Doucet et al, 2011 ; Orliac et al, 2017 ). In fact, the study by Britz et al (2010) reported that MS of class A correlated with cerebral activity in the bilateral superior and middle temporal gyri, regions of the phonological network, as well as in primary visual areas ( Damoiseaux et al, 2006 ; Mantini et al, 2007 ), which are core regions of M2 ( Doucet et al, 2011 ).…”

Section: Discussionmentioning

confidence: 99%

“…Taking into account that MSs A and B have been linked to fronto-temporal and occipital regions, areas belonging to the phonological and visual networks and that MSs C and D have been linked to cingulate cortex, right superior and middle frontal gyri, the right superior and inferior parietal lobules, regions involved in the default mode, salience and attention networks ( Britz et al, 2010 ; Custo et al, 2017 ), it is possible to extrapolate that MSs A and B reflect the extrinsic system of distributed resting state connectivity (as demonstrated also by the task-specific alteration of the temporal parameters of these two MSs), while the other two classes are the expression of the intrinsic system (for definition and characteristics of the two systems, see Doucet et al, 2011 ; Orliac et al, 2017 ). Indeed, the extrinsic system is constituted by two modules, which are located in the primary somatosensory areas (M2a) and visual areas (M2b), while the intrinsic system includes three modules that are involved in generation of spontaneous thoughts (M1a), inner maintenance and manipulation of information (M1b), cognitive control and switching activity (M1c).…”

Section: Introductionmentioning

confidence: 99%

Neurophysiological correlates of Avolition-apathy in schizophrenia: A resting-EEG microstates study

Giordano

Koenig

Mucci

et al. 2018

NeuroImage: Clinical

View full text Add to dashboard Cite

BackgroundThe “Avolition-apathy” domain of the negative symptoms was found to include different symptoms by factor analytic studies on ratings derived by different scales. In particular, the relationship of anhedonia with this domain is controversial. Recently introduced negative symptom rating scales provide a better assessment of anhedonia, allowing the distinction of anticipatory and consummatory aspects, which might be related to different psychopathological dimensions. The study of associations with external validators, such as electrophysiological, brain imaging or cognitive indices, might shed further light on the status of anhedonia within the Avolition-apathy domain.ObjectivesWe used brain electrical microstates (MSs), which represent subsecond periods of quasi-stable scalp electrical field, associated with resting-state neural networks (and thus with global patterns of functional connectivity), to test whether the component symptoms of Avolition-apathy share the same correlates.MethodWe analyzed multichannel resting EEGs in 142 individuals with schizophrenia (SCZ) and in 64 healthy controls (HC), recruited within the add-on EEG study of the Italian Network for Research on Psychoses. Relative time contribution, duration and occurrence of four MS classes (MS-A/-B/-C/−D) were calculated. Group differences on MS parameters (contribution and duration) and their associations with negative symptom domains (assessed using the Brief Negative Symptoms Scale) were investigated.ResultsSCZ, in comparison to HC, showed increased contribution and duration of MS-C. The contribution of MS-A positively correlated with Avolition-apathy, but not with Expressive deficit. Within the Avolition-apathy domain, anticipatory anhedonia, avolition and asociality, but not consummatory anhedonia, showed the same correlations with MS-A contribution.ConclusionOur findings support the existence of distinct electrophysiological correlates of Avolition-apathy with respect to Expressive deficit, and lend support to the hypothesis that only the anticipatory component of anhedonia shares the same pathophysiological underpinnings of the Avolition-apathy domain.

show abstract

“…Of high relevance to SZ pathology are the visual, auditory and sensorimotor areas. The dysconnectivity and disintegration of primary sensory areas have been proposed to underlie higher cognitive dysfunctions in SZ (Bordier et al, 2018;Ferri et al, 2017;Kaufmann et al, 2015) and have been shown to be predictive of disease severity (Guo et al, 2014;Javitt, 2015;Orliac et al, 2017;Zhang, Guo and Tian, 2019;. For example, increased connectivity between early and late visual areas has been linked to mood induction in a compensatory manner in SZ (Dyck et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Reduced Intrinsic Neural Timescales in Schizophrenia along Posterior Parietal and Occipital Areas

Uscatescu

Said-Yürekli

Kronbichler

et al. 2021

Preprint

View full text Add to dashboard Cite

We computed intrinsic neural timescales (INT) based on resting state functional magnetic resonance imaging (rsfMRI) data of healthy controls (HC) and patients with schizophrenia spectrum disorder (SZ) from three independently collected samples. Five clusters showed decreased INT in SZ compared to HC in all three samples: Right occipital fusiform gyrus (rOFG), Left superior occipital gyrus (lSOG), Right superior occipital gyrus (rSOG), Left lateral occipital cortex (lLOC), and Right postcentral gyrus (rPG). In other words, it appears that sensory information in visual and posterior parietal areas is stored for reduced lengths of time in SZ compared to HC. We also found some evidence that symptom severity modulates INT of these areas in SZ.

show abstract

Network modeling of resting state connectivity points towards the bottom up theories of schizophrenia

Cited by 13 publications

References 49 publications

Abnormal Brain Network Interaction Associated With Positive Symptoms in Drug-Naive Patients With First-Episode Schizophrenia

Abnormal Brain Network Interaction Associated With Positive Symptoms in Drug-Naive Patients With First-Episode Schizophrenia

Neurophysiological correlates of Avolition-apathy in schizophrenia: A resting-EEG microstates study

Reduced Intrinsic Neural Timescales in Schizophrenia along Posterior Parietal and Occipital Areas

Contact Info

Product

Resources

About