Schizophrenia and the brain's control network: Aberrant within- and between-network connectivity of the frontoparietal network in schizophrenia

Tu, Pei-Chi; Lee, Ying-Chiao; Chen, Ying-Shiue; Li, Cheng Ta; Su, Tung‐Ping

doi:10.1016/j.schres.2013.04.011

Cited by 103 publications

(80 citation statements)

References 50 publications

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“…They also found that the patients showed increased FC between several ROIs in the FPN and regions involved in primary sensory processing or in the DMN, including the temporal and occipital regions. Together with their previous findings of cortico-striatal disconnection within the CON network [11], these results indicated that schizophrenia is associated with both within-network and between-network dysconnectivity of the FPN and the CON [51]. Their findings that patients showed increased FC between the caudate and the occipital/temporal regions are consistent with our rsfMRI results.…”

Section: Left Caudate Seedsupporting

confidence: 92%

“…operates on a shorter time scale than the CON [50]. Tu et al [51] conducted an rsfMRI study and found an association between patients with schizophrenia and prominent cortico-subcortical disconnection within the FPN. They also found that the patients showed increased FC between several ROIs in the FPN and regions involved in primary sensory processing or in the DMN, including the temporal and occipital regions.…”

Section: Left Caudate Seedmentioning

confidence: 99%

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Functional Connectivity of the Caudate in Schizophrenia Evaluated with Simultaneous Resting-State Functional MRI and Electroencephalography Recordings

et al. 2018

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Background: Aberrant functional connectivity (FC) is increasingly implicated in the clinical phenomenology of schizophrenia. This study focused on the FC of the cortico-striatal network, which is thought to be disrupted in schizophrenia and to contribute to its clinical manifestations. Methods: We used simultaneous resting-state functional magnetic resonance imaging (rsfMRI) and electroencephalography (EEG) recordings to investigate FC in patients with schizophrenia. The study included 20 patients with schizophrenia and 20 healthy controls (HCs). Simultaneously recorded rsfMRI and EEG data were collected with an MR-compatible amplifier, and rsfMRI data were analyzed with the CONN toolbox to calculate FC. The study focused on the caudate, which was defined as the seed. We also performed between-group comparisons of standardized low-resolution electromagnetic tomography intracortical lagged coherence for each EEG frequency band. Results: Compared to HCs, patients with schizophrenia showed enhanced FC between the caudate nucleus and the posterior cingulate cortex, temporal, and occipital regions on rsfMRI. It is thus possible that HCs have negative FC between these regions, whereas patients with schizophrenia have non-negative FC. The EEG results showed no significant differences in oscillations or in FC between the groups in any frequency band in any region. Conclusions: Increased FC in the caudate may represent aberrant between-network FC resulting from the disruption of segregation between networks.

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Section: Left Caudate Seedsupporting

confidence: 92%

Section: Left Caudate Seedmentioning

confidence: 99%

Functional Connectivity of the Caudate in Schizophrenia Evaluated with Simultaneous Resting-State Functional MRI and Electroencephalography Recordings

et al. 2018

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“…In schizophrenia, functional imaging studies have found aberrant connectivity within an array of functional brain systems, including fronto-parietal networks involved in cognitive function [67,68], cingulo-opercular systems associated with salience processing and interoception [69], the default mode network implicated in self-reflective thinking, as well as specific [70] fronto-striatal [71], fronto-temporal [72] and cerebellar [73] circuits. In addition, functional decoupling between distinct subnetworks has been shown in schizophrenia patients [74].…”

Section: Functional Connectivitymentioning

confidence: 99%

The quest for biomarkers in Schizophrenia: from neuroimaging to machine learning

Bajouco¹,

Mota²,

Coroa³

et al. 2017

IJCNMH

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Schizophrenia is a severe mental disorder and one of the leading causes of disease burden worldwide. It represents a source of significant suffering and disability to the affected individuals, and is associated with substantial societal and economical costs.The diagnosis of schizophrenia still depends exclusively on the detection of symptoms that are also present in other mental disorders. This situation causes overlapping of the boundaries of the diagnostic categories and constitutes a source of diagnostic errors. Moreover, current treatment algorithms do not take into account the substantial interindividual variability in response to antipsychotic drugs. As a result, around one-third of patients are treatment-resistant to first line antipsychotic drugs. This deleterious consequence is associated with poor individual outcomes and elevated healthcare costs.Neuroimaging research in schizophrenia has shed some light in a vast array of structural and functional connectivity abnormalities and neurochemical (dopamine and glutamate) imbalances, which may constitute 'organic surrogates' of this disorder. However, the neuroimaging field, so far, has not been able to identify biomarkers that could facilitate early detection and allow individualised treatment management. This paper reviews neuroimaging studies from different modalities that may provide relevant biomarkers for schizophrenia. We discuss how the current application of novel Machine Learning methods to the analyses of imaging data is allowing the translation of such findings into potential biomarkers enabling the prediction of clinical outcomes at the individual level, towards the development of innovative and personalised treatment strategies.

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“…Disturbances in self-referential and self-other discriminative processing were identified as a symptom in schizophrenia, and were related to the widely distributed neural fronto-temporal-parietal cortical network [60]. Recent developments in functional connectivity MRI (fcMRI) showed reduced functional connectivity to the parietal lobe, posterior cingulate cortex, thalamus, and striatum, and dysfunction in the frontoparietal network for various tasks requiring executive control in schizophrenia [61,62]. In our study, dysfunction in IC between the precuneus bilaterally and other regions sug-gested dysfunction in complicated functional connectivity in large scale networks in schizophrenia.…”

Section: Precuneusmentioning

confidence: 99%

Females with schizophrenia have abnormal functional cortical connectivity in the gamma frequency during an auditory oddball task using magnetoencephalography

Fujimoto¹,

Okumura²,

Takeuchi³

et al. 2014

OJPsych

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We studied differences in imaginary coherence (IC) of the gamma band between brain regions of female schizophrenia patients during the auditory oddball task using magnetoencephalography (MEG). Subjects were 12 right-handed female schizophrenia patients, who were evaluated by the Positive and Negative Syndrome Scales (PANSS). Functional connectivity during an auditory oddball task was reconstructed in low gamma (30 -50 Hz) and high gamma (50 -100 Hz and 100 -150 Hz) bands, and represented by IC using seeds determined by the significant oscillatory power changes obtained by event-related synchronization (ERS) and event-related desynchronization (ERD) power measurements. Gamma ERS (30 -50 Hz) power was decreased in the left precuneus at 500 -750 ms and in the right precuneus at 750 -1000 ms. IC in the gamma band (50 -100 Hz) was decreased between the right precuneus (seed) and right paracentral lobule (target) and between the right precuneus and right hypothalamus at 0 -250 ms. IC in the gamma band (100 -150 Hz) was increased between the left precuneus and right cuneus (Brodmann area 7) at 250 -500 ms, between the left precuneus and right culmen at 500 -750 ms, and between the left precuneus and right cuneus (Brodmann area 17), between the left precuneus and right posterior cingulate cortex, and between the left precuneus and right caudate nucleus at 750 -1000 ms. In the high gamma band (50 -100 Hz) at 0 -250 ms, significant positive correlations were shown between IC and conceptual disorganization in PANSS scores, between IC and unusual thought content score, and between IC and positive scale score. IC within the high gamma band in female schizophrenia patients showed two types of functional disconnection, intrahemispheric and interhemispheric. IC between the right or left precuneus and other specific cortical areas showed dysfunction, suggesting that the parietal lobe plays an important role in dysfunction in connectivity in the gamma band during the oddball task.

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Schizophrenia and the brain's control network: Aberrant within- and between-network connectivity of the frontoparietal network in schizophrenia

Cited by 103 publications

References 50 publications

Functional Connectivity of the Caudate in Schizophrenia Evaluated with Simultaneous Resting-State Functional MRI and Electroencephalography Recordings

Functional Connectivity of the Caudate in Schizophrenia Evaluated with Simultaneous Resting-State Functional MRI and Electroencephalography Recordings

The quest for biomarkers in Schizophrenia: from neuroimaging to machine learning

Females with schizophrenia have abnormal functional cortical connectivity in the gamma frequency during an auditory oddball task using magnetoencephalography

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