Altered voxel-mirrored homotopic connectivity in right temporal lobe epilepsy as measured using resting-state fMRI and support vector machine analyses

Chu, Yongqiang; Wu, Jun; Wei, Du; Huang, Junli; Li, Wei; Zhang, Sheng; Ren, Hongwei

doi:10.3389/fpsyt.2022.958294

Cited by 3 publications

(3 citation statements)

References 61 publications

(69 reference statements)

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“…In patients with generalized epilepsy, a study reported decreased homotopic interhemispheric rsFC in the olfactory cortex, IFG, SMG, and middle temporal pole, but increased in the cuneus and ACC, although none correlated with clinical measures (Ji et al ., 2014 ). Three VMHC studies on TLE also showed both increased and decreased (Chu et al ., 2022 ; Liu et al ., 2016 ; Shi et al ., 2021 ) homotopic interhemispheric rsFC. One study included groups with either left or right hemisphere TLE, with increased homotopic rsFC being observed in the AG, SPL, and IOG and decreased in the SMA, ventral medial prefrontal cortex (vmPFC), IPL, and MTG in patients with left TLE; and with increases in the IOG, PHG, and PCe and decreases in the IFG, preCG, and MTG in the right TLE (Liu et al ., 2016 ).…”

Section: Neurological Disordersmentioning

confidence: 99%

“…The two other studies only included patients with right/unilateral TLE. One study reported increased homotopic rsFC in the preCG and postCG and SMA, and decreased in the IFG, middle, and superior TPs, ITG, and MTG in the right TLE (Chu et al ., 2022 ). The other one found increased homotopic rsFC in the LG and decreased in the ITG in unilateral TLE, although the latter was positively associated with Hamilton anxiety scores (Shi et al ., 2021 ).…”

Section: Neurological Disordersmentioning

confidence: 99%

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Reduced homotopic interhemispheric connectivity in psychiatric disorders: evidence for both transdiagnostic and disorder specific features

Yao

Kendrick

2022

Psychoradiology

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There is considerable interest in the significance of structural and functional connections between the two brain hemispheres both in terms of normal function and in relation to psychiatric disorders. In recent years many studies have used voxel mirrored homotopic connectivity (VMHC) analysis of resting state data to investigate the importance of connectivity between homotopic regions in the brain hemispheres in a range of neuropsychiatric disorders. The current review summarizes findings from these VMHC studies in individuals with autism spectrum disorder, addiction, attention deficit hyperactivity disorder, anxiety and depression disorders and schizophrenia as well as disorders such as Alzheimer's disease, mild cognitive impairment, epilepsy and insomnia. Overall, other than attention deficit hyperactivity disorder, studies across psychiatric disorders report decreased homotopic resting state functional connectivity in the default mode network, attention, salience, sensorimotor, social cognition, visual recognition, primary visual processing and reward networks, which are often associated with symptom severity and/or illness onset/duration. Decreased homotopic resting state functional connectivity may therefore represent a transdiagnostic marker for general psychopathology. In terms of disorder specificity, the extensive decreases in homotopic resting state functional connectivity in autism differ markedly from attention deficit hyperactivity disorder despite both occurring during early childhood and showing extensive co-morbidity. A pattern of more posterior than anterior regions showing reductions in schizophrenia is also distinctive. Going forward more studies are needed to elucidate the functions of these homotopic functional connections in both health and disorder and focusing on associations with general psychopathology not only on disorder specific symptoms.

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Section: Neurological Disordersmentioning

confidence: 99%

Section: Neurological Disordersmentioning

confidence: 99%

Reduced homotopic interhemispheric connectivity in psychiatric disorders: evidence for both transdiagnostic and disorder specific features

Yao

Kendrick

2022

Psychoradiology

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“…SVM can effectively identify a set of information and features from different brain regions, which can be used to classify patients and HC using neuroimaging data [such as functional magnetic resonance imaging (fMRI) data] ( Steardo et al, 2020 ), making the classification results more convincing. Numerous studies have employed VMHC and SVM methods to study brain disorders, providing possible evidence for the discovery of biological markers in neuroimaging ( Chen et al, 2021 ; Chu et al, 2022 ; Wu et al, 2022 ). However, it is still unclear whether abnormal VMHC can be used as an underlying brain imaging symbol to discriminate HCs from MDD using the SVM analysis.…”

Section: Introductionmentioning

confidence: 99%

Disrupted interhemispheric coordination of sensory-motor networks and insula in major depressive disorder

Zhang

Jing²,

Yan³

et al. 2023

Front. Neurosci.

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ObjectivePrior researches have identified distinct differences in neuroimaging characteristics between healthy controls (HCs) and patients with major depressive disorder (MDD). However, the correlations between homotopic connectivity and clinical characteristics in patients with MDD have yet to be fully understood. The present study aimed to investigate common and unique patterns of homotopic connectivity and their relationships with clinical characteristics in patients with MDD.MethodsWe recruited 42 patients diagnosed with MDD and 42 HCs. We collected a range of clinical variables, as well as exploratory eye movement (EEM), event-related potentials (ERPs) and resting-state functional magnetic resonance imaging (rs-fMRI) data. The data were analyzed using correlation analysis, support vector machine (SVM), and voxel-mirrored homotopic connectivity (VMHC).ResultsCompared with HCs, patients with MDD showed decreased VMHC in the insula, and increased VMHC in the cerebellum 8/vermis 8/vermis 9 and superior/middle occipital gyrus. SVM analysis using VMHC values in the cerebellum 8/vermis 8/vermis 9 and insula, or VMHC values in the superior/middle occipital gyrus and insula as inputs can distinguish HCs and patients with MDD with high accuracy, sensitivity, and specificity.ConclusionThe study demonstrated that decreased VMHC in the insula and increased VMHC values in the sensory-motor networks may be a distinctive neurobiological feature for patients with MDD, which could potentially serve as imaging markers to discriminate HCs and patients with MDD.

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Altered dynamic neural activities in individuals with obsessive-compulsive disorder and comorbid depressive symptoms

Shang,

Chen,

Ding

et al. 2024

Front. Psychiatry

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ObjectivesDepressive symptoms are the most prevalent comorbidity in individuals with obsessive-compulsive disorder (OCD). The objective of this study was to investigate the dynamic characteristics of resting-state neural activities in OCD patients with depressive symptoms.MethodsWe recruited 29 OCD patients with depressive symptoms, 21 OCD patients without depressive symptoms, and 27 healthy controls, and collected data via structural and functional magnetic resonance imaging (fMRI). We analyzed the fMRI results using the dynamic amplitude of low-frequency fluctuation (dALFF) and support vector machine (SVM) techniques.ResultsCompared with OCD patients without depressive symptoms, OCD patients with depressive symptoms exhibited an increased dALFF in the left precuneus and decreased dALFF in the right medial frontal gyrus. The SVM indicated that the integration of aberrant dALFF values in the left precuneus and right medial frontal gyrus led to an overall accuracy of 80%, a sensitivity of 79%, and a specificity of 100% in detecting depressive symptoms among OCD patients.ConclusionTherefore, our study reveals that OCD patients with depressive symptoms display neural activities with unique dynamic characteristics in the resting state. Accordingly, abnormal dALFF values in the left precuneus and right medial frontal gyrus could be used to identify depressive symptoms in OCD patients.

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Altered voxel-mirrored homotopic connectivity in right temporal lobe epilepsy as measured using resting-state fMRI and support vector machine analyses

Cited by 3 publications

References 61 publications

Reduced homotopic interhemispheric connectivity in psychiatric disorders: evidence for both transdiagnostic and disorder specific features

Reduced homotopic interhemispheric connectivity in psychiatric disorders: evidence for both transdiagnostic and disorder specific features

Disrupted interhemispheric coordination of sensory-motor networks and insula in major depressive disorder

Altered dynamic neural activities in individuals with obsessive-compulsive disorder and comorbid depressive symptoms

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