Association of visual motor processing and social cognition in schizophrenia

Lu, Pin Yen; Huang, Yu Lien; Huang, Pai Chuan; Liu, Yi Chia; Wei, Shyh Yuh; Hsu, Wei Yun; Chen, Kao Chin; Chen, Po See; Wu, Wen‐Hsiung; Yang, Yen Kuang; Tseng, Huai Hsuan

doi:10.1038/s41537-021-00150-7

Cited by 8 publications

(4 citation statements)

References 80 publications

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“…Bicluster (BiCs) 1, 2, 4, and 5 show significant connectivity differences mostly among visual (VS), subcortical (SC), and sensorimotor (SM). Neuroimaging research has identified these domains to be associated with schizophrenia dysfunction and social impairments [25]. Reduced connectivity strength (BiC 2) and opposite connectivity (BiC 5) between SM and VS are conceivably responsible for the obstruction in social cognition and mentalization [27, 25].…”

Section: Resultsmentioning

confidence: 99%

“…Neuroimaging research has identified these domains to be associated with schizophrenia dysfunction and social impairments [25]. Reduced connectivity strength (BiC 2) and opposite connectivity (BiC 5) between SM and VS are conceivably responsible for the obstruction in social cognition and mentalization [27, 25]. The biclusters also depict significant group differences between schizophrenia (SZ) and the healthy control (HC) cohort.…”

Section: Resultsmentioning

confidence: 99%

“…It implies semantic localization through functional coherence among the connections in a bi-clustered subgroup. In bicluster 2, visual and sensorimotor connections are supportive of motor learning, and their impairment is acknowledged in schizophrenia [25]. Also, the auditory and subcortical connections in bicluster 1 might be contributing to the behavioral changes in schizophrenia [26].…”

Section: Resultsmentioning

confidence: 99%

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SpaDE: Semantic Locality Preserving Biclustering for Neuroimaging Data

Rahaman,

Fu,

Iraji

et al. 2024

Preprint

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The most discriminative and revealing patterns in the neuroimaging population are often confined to smaller subdivisions of the samples and features. Especially in neuropsychiatric conditions, symptoms are expressed within micro subgroups of individuals and may only underly a subset of neurological mechanisms. As such, running a whole-population analysis yields suboptimal outcomes leading to reduced specificity and interpretability. Biclustering is a potential solution since subject heterogeneity makes one-dimensional clustering less effective in this realm. Yet, high dimensional sparse input space and semantically incoherent grouping of attributes make post hoc analysis challenging. Therefore, we propose a deep neural network called semantic locality preserving auto decoder (SpaDE), for unsupervised feature learning and biclustering. SpaDE produces coherent subgroups of subjects and neural features preserving semantic locality and enhancing neurobiological interpretability. Also, it regularizes for sparsity to improve representation learning. We employ SpaDE on human brain connectome collected from schizophrenia (SZ) and healthy control (HC) subjects. The model outperforms several state-of-the-art biclustering methods. Our method extracts modular neural communities showing significant (HC/SZ) group differences in distinct brain networks including visual, sensorimotor, and subcortical. Moreover, these biclustered connectivity substructures exhibit substantial relations with various cognitive measures such as attention, working memory, and visual learning.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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SpaDE: Semantic Locality Preserving Biclustering for Neuroimaging Data

Rahaman,

Fu,

Iraji

et al. 2024

Preprint

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“…Repetitive violence in patients with schizophrenia (vSZ) is generally associated with coexisting cognitive impairment, deficits in neurocognition (such as memory, motor function, and motor lapses in daily life, and perceptual-motor processing speed), impaired social cognitive function, and ineffective communication [12,13]. Neuro-and social cognitive deficits in schizophrenia are not only an enduring feature of the illness, but also a predictor of clinical and functional outcomes [14].…”

Section: Introductionmentioning

confidence: 99%

Effects of Integrated Violence Intervention on Alexithymia, Cognitive, and Neurocognitive Features of Violence in Schizophrenia: A Randomized Controlled Trial

Hsu

Ouyang

2021

Brain Sciences

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Patients with schizophrenia and repetitive violence express core impairments that encompass multiple domains. To date, there have been few interventions integrating neurocognition, social cognition, alexithymia, and emotion regulation together as an approach to manage repetitive violence. The aim of this open-label randomized controlled trial was to examine more comprehensively the effectiveness of a novel Integrated Cognitive Based Violence Intervention Program on management of repetitive violence in patients with schizophrenia (vSZ). Sixty recruited patients were aged ≥20 years, diagnosed with schizophrenia for >2 years, had repetitive violent behavior within one year, and were psychiatrically hospitalized. The vSZ patients were randomly allocated to two groups and received either the intervention or treatment as usual. The intervention module, consisting of all defined 11 cognitive and social cognitive domains as well as emotion regulation, which were grouped into four modules. The intervention placed emphasis on the patients’ behavioral problems or intrinsic conflicts in relation to repetitive violence. The results indicate a statistically significant trend toward reducing impulsivity, anger with resentment, physical aggression, suspicion, and hostility (p < 0.05). The intervention significantly alleviated the intensity of cognitive failure, improved the management of alexithymic features and attribution styles and errors, and fostered adequate decision-making styles and emotion regulation capacity (p < 0.05). The intervention, when applied in conjunction with psychiatric standard care, could exert synergistic effects on alexithymia and cognitive, clinical, and neurocognitive features of repetitive violence in schizophrenia. This intervention provided patients a more active role to manage their violent behavior with the involvement of alexithymia.

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