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  • 1
    Online Resource
    Online Resource
    Motor Circuit and Superior Temporal Sulcus Activities Linked to Individual Differences in Multisensory Speech Perception
    Springer Science and Business Media LLC ; 2021
    In:  Brain Topography Vol. 34, No. 6 ( 2021-11), p. 779-792
    Details
    In: Brain Topography, Springer Science and Business Media LLC, Vol. 34, No. 6 ( 2021-11), p. 779-792
    Type of Medium: Online Resource
    ISSN: 0896-0267 , 1573-6792
    URL: Article
    DOI: 10.1007/s10548-021-00869-7
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2015003-9
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  • 2
    Online Resource
    Online Resource
    Negative bias effects during audiovisual emotional processing in major depression disorder
    Wiley ; 2022
    In:  Human Brain Mapping Vol. 43, No. 4 ( 2022-03), p. 1449-1462
    Details
    In: Human Brain Mapping, Wiley, Vol. 43, No. 4 ( 2022-03), p. 1449-1462
    Abstract: Aberrant affective neural processing and negative emotional bias are trait‐marks of major depression disorders (MDDs). However, most research on biased emotional perception in depression has only focused on unimodal experimental stimuli, the neural basis of potentially biased emotional processing of multimodal inputs remains unclear. Here, we addressed this issue by implementing an audiovisual emotional task during functional MRI scanning sessions with 37 patients with MDD and 37 gender‐, age‐ and education‐matched healthy controls. Participants were asked to distinguish laughing and crying sounds while being exposed to faces with different emotional valences as background. We combined general linear model and psychophysiological interaction analyses to identify abnormal local functional activity and integrative processes during audiovisual emotional processing in MDD patients. At the local neural level, MDD patients showed increased bias activity in the ventromedial prefrontal cortex (vmPFC) while listening to negative auditory stimuli and concurrently processing visual facial expressions, along with decreased dorsolateral prefrontal cortex (dlPFC) activity in both the positive and negative visual facial conditions. At the network level, MDD exhibited significantly decreased connectivity in areas involved in automatic emotional processes and voluntary control systems during perception of negative stimuli, including the vmPFC, dlPFC, insula, as well as the subcortical regions of posterior cingulate cortex and striatum. These findings support a multimodal emotion dysregulation hypothesis for MDD by demonstrating that negative bias effects may be facilitated by the excessive ventral bottom‐up negative emotional influences along with incapability in dorsal prefrontal top‐down control system.
    Type of Medium: Online Resource
    ISSN: 1065-9471 , 1097-0193
    URL: Issue
    URL: Article
    DOI: 10.1002/hbm.v43.4
    DOI: 10.1002/hbm.25735
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 1492703-2
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  • 3
    Online Resource
    Online Resource
    Integrating Multilevel Functional Characteristics Reveals Aberrant Neural Patterns during Audiovisual Emotional Processing in Depression
    Oxford University Press (OUP) ; 2021
    In:  Cerebral Cortex Vol. 32, No. 1 ( 2021-11-23), p. 1-14
    Details
    In: Cerebral Cortex, Oxford University Press (OUP), Vol. 32, No. 1 ( 2021-11-23), p. 1-14
    Abstract: Emotion dysregulation is one of the core features of major depressive disorder (MDD). However, most studies in depression have focused on unimodal emotion processing, whereas emotional perception in daily life is highly dependent on multimodal sensory inputs. Here, we proposed a novel multilevel discriminative framework to identify the altered neural patterns in processing audiovisual emotion in MDD. Seventy-four participants underwent an audiovisual emotional task functional magnetic resonance imaging scanning. Three levels of whole-brain functional features were extracted for each subject, including the task-evoked activation, task-modulated connectivity, combined activation and connectivity. Support vector machine classification and prediction models were built to identify MDD from controls and evaluate clinical relevance. We revealed that complex neural networks including the emotion regulation network (prefrontal areas and limbic-subcortical regions) and the multisensory integration network (lateral temporal cortex and motor areas) had the discriminative power. Moreover, by integrating comprehensive information of local and interactive processes, multilevel models could lead to a substantial increase in classification accuracy and depression severity prediction. Together, we highlight the high representational capacity of machine learning algorithms to characterize the complex network abnormalities associated with emotional regulation and multisensory integration in MDD. These findings provide novel evidence for the neural mechanisms underlying multimodal emotion dysregulation of depression.
    Type of Medium: Online Resource
    ISSN: 1047-3211 , 1460-2199
    URL: Article
    DOI: 10.1093/cercor/bhab185
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
    detail.hit.zdb_id: 1483485-6
    SSG: 12
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  • 4
    Online Resource
    Online Resource
    Dissociable salience and default mode network modulation in generalized anxiety disorder: a connectome-wide association study
    Oxford University Press (OUP) ; 2023
    In:  Cerebral Cortex Vol. 33, No. 10 ( 2023-05-09), p. 6354-6365
    Details
    In: Cerebral Cortex, Oxford University Press (OUP), Vol. 33, No. 10 ( 2023-05-09), p. 6354-6365
    Abstract: Generalized anxiety disorder (GAD) is a common anxiety disorder experiencing psychological and somatic symptoms. Here, we explored the link between the individual variation in functional connectome and anxiety symptoms, especially psychological and somatic dimensions, which remains unknown. In a sample of 118 GAD patients and matched 85 healthy controls (HCs), we used multivariate distance-based matrix regression to examine the relationship between resting-state functional connectivity (FC) and the severity of anxiety. We identified multiple hub regions belonging to salience network (SN) and default mode network (DMN) where dysconnectivity associated with anxiety symptoms (P  & lt; 0.05, false discovery rate [FDR]-corrected). Follow-up analyses revealed that patient’s psychological anxiety was dominated by the hyper-connectivity within DMN, whereas the somatic anxiety could be modulated by hyper-connectivity within SN and DMN. Moreover, hypo-connectivity between SN and DMN were related to both anxiety dimensions. Furthermore, GAD patients showed significant network-level FC changes compared with HCs (P  & lt; 0.01, FDR-corrected). Finally, we found the connectivity of DMN could predict the individual psychological symptom in an independent GAD sample. Together, our work emphasizes the potential dissociable roles of SN and DMN in the pathophysiology of GAD’s anxiety symptoms, which may be crucial in providing a promising neuroimaging biomarker for novel personalized treatment strategies.
    Type of Medium: Online Resource
    ISSN: 1047-3211 , 1460-2199
    URL: Article
    DOI: 10.1093/cercor/bhac509
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 1483485-6
    SSG: 12
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  • 5
    Online Resource
    Online Resource
    Differences in whole-brain metabolism are associated with the expression of genes related to neurovascular unit integrity and synaptic plasticity in temporal lobe epilepsy
    Springer Science and Business Media LLC ; 2023
    In:  European Journal of Nuclear Medicine and Molecular Imaging
    Details
    In: European Journal of Nuclear Medicine and Molecular Imaging, Springer Science and Business Media LLC
    Type of Medium: Online Resource
    ISSN: 1619-7070 , 1619-7089
    URL: Article
    DOI: 10.1007/s00259-023-06433-8
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2098375-X
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  • 6
    Online Resource
    Online Resource
    [18F]FDG PET metabolic patterns in mesial temporal lobe epilepsy with different pathological types
    Springer Science and Business Media LLC ; 2023
    In:  European Radiology
    Details
    In: European Radiology, Springer Science and Business Media LLC
    Type of Medium: Online Resource
    ISSN: 1432-1084
    URL: Article
    DOI: 10.1007/s00330-023-10089-1
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 1472718-3
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  • 7
    Online Resource
    Online Resource
    Data_Sheet_1.PDF
    Frontiers Media SA ; 2022
    In:  Frontiers in Neuroscience Vol. 16 ( 2022-4-19)
    Details
    In: Frontiers in Neuroscience, Frontiers Media SA, Vol. 16 ( 2022-4-19)
    Abstract: Currently, more than one-third of patients with drug-resistant temporal lobe epilepsy (TLE) continue to develop seizures after resection surgery. Dynamic functional network connectivity (DFNC) analyses, capturing temporal properties of functional connectivity during MRI acquisition, may help us identify unfavorable surgical outcomes. The purpose of this work was to explore the association of DFNC variations of preoperative resting-state MRI and surgical outcomes in patients with drug-resistant TLE. Methods We evaluated 61 patients with TLE matched for age and gender with 51 healthy controls (HC). Patients with TLE were classified as seizure-free ( n = 39) and not seizure-free ( n = 16) based on the Engel surgical outcome scale. Six patients were unable to confirm the postoperative status and were not included in the subgroup analysis. The DFNC was calculated using group spatial independent component analysis and the sliding window approach. Results Dynamic functional network connectivity analyses suggested two distinct connectivity “States.” The dynamic connectivity state of patients with TLE was different from HC. TLE subgroup analyses showed not seizure-free (NSF) patients spent significantly more time in State II compared to seizure-free (SF) patients and HC. Further, the number of transitions from State II to State I was significantly lower in NSF patients. SF patients had compensatory enhancement of DFNC strengths between default and dorsal attention network, as well as within the default network. While reduced DFNC strengths of within-network and inter-network were both observed in NSF patients, patients with abnormally temporal properties and more extension DFNC strength alterations were less likely to receive seizure freedom. Conclusions Our study indicates that DFNC could offer a better understanding of dynamic neural impairment mechanisms of drug-resistant TLE functional network, epileptic brain network reorganization, and provide an additional preoperative evaluation support for surgical treatment of drug-resistant TLE.
    Type of Medium: Online Resource
    ISSN: 1662-453X
    URL: Article
    URL: Article
    DOI: 10.3389/fnins.2022.840481
    DOI: 10.3389/fnins.2022.840481.s001
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2411902-7
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  • 8
    Online Resource
    Online Resource
    Multivariable pattern classification differentiates relational self-esteem from personal self-esteem
    Oxford University Press (OUP) ; 2021
    In:  Social Cognitive and Affective Neuroscience Vol. 16, No. 7 ( 2021-07-06), p. 726-735
    Details
    In: Social Cognitive and Affective Neuroscience, Oxford University Press (OUP), Vol. 16, No. 7 ( 2021-07-06), p. 726-735
    Abstract: Relational self-esteem (RSE) refers to one’s sense of self-worth based on the relationship with significant others, such as family and best friends. Although previous neuroimaging research has investigated the neural processes of RSE, it is less clear how RSE is represented in multivariable neural patterns. Being able to identify a stable RSE signature could contribute to knowledge about relational self-worth. Here, using multivariate pattern classification to differentiate RSE from personal self-esteem (PSE), which pertains to self-worth derived from personal attributes, we obtained a stable diagnostic signature of RSE relative to PSE. We found that multivariable neural activities in the superior/middle temporal gyrus, precuneus, posterior cingulate cortex, dorsal medial Prefrontal Cortex (dmPFC) and temporo-parietal junction were responsible for diagnosis of RSE, suggesting that the evaluation of RSE involves the retrieval of relational episodic memory, perspective-taking and value calculation. Further, these diagnostic neural signatures were able to sensitively decode neural activities related to RSE in another independent test sample, indicating the reliability of the brain state represented. By providing a reliable multivariate brain pattern for RSE relative to PSE, our results informed more cognitively prominent processing of RSE than that of PSE and enriched our knowledge about how relational self-worth is generated in the brain.
    Type of Medium: Online Resource
    ISSN: 1749-5016 , 1749-5024
    URL: Article
    DOI: 10.1093/scan/nsab053
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
    detail.hit.zdb_id: 2236933-8
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  • 9
    Online Resource
    Online Resource
    Neural processing of personal, relational, and collective self‐worth reflected individual differences of self‐esteem
    Wiley ; 2022
    In:  Journal of Personality Vol. 90, No. 2 ( 2022-04), p. 133-151
    Details
    In: Journal of Personality, Wiley, Vol. 90, No. 2 ( 2022-04), p. 133-151
    Abstract: Self‐esteem stems from an individual's attributes (PSE), relationships with important others (RSE), and collective membership (CSE). Our study aimed to identify neurological indicators in the processing of personal, relational, and collective self‐worth, and to investigate whether these neural indicators could reflect individual differences of self‐esteem. Methods Fifty students underwent the evaluation of personal, relational, and collective self‐worth using a self‐referential paradigm while brain activities were recorded using functional‐magnetic‐resonance‐imaging. Meanwhile, their PSE, RSE, and CSE were measured through questionnaires. Results Conjunction analysis found self‐worth processing recruited the precuneus, posterior cingulate cortex, and posterior insula. Multivariate pattern analysis showed compared to relational and collective self‐worth, personal self‐worth processing was distinguished by cortical‐midline‐structures and affective‐related regions, including caudate and putamen, and that these neural patterns could reflect individual differences of PSE. Compared to personal self‐worth, relational self‐worth was distinguished by the neural activity of temporoparietal‐junction, and this neural pattern reflected individual differences of RSE. Compared to relational self‐worth, collective self‐worth was distinguished by neural activity of the anterior insula, and this neural pattern reflected individual differences of CSE. Discussion These results suggested the neurological indicators of self‐worth can be recognized as an alternative way to reflect individual differences of self‐esteem.
    Type of Medium: Online Resource
    ISSN: 0022-3506 , 1467-6494
    URL: Issue
    URL: Article
    DOI: 10.1111/jopy.v90.2
    DOI: 10.1111/jopy.12658
    RVK:
    CL 1000
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 1481250-2
    SSG: 5,2
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  • 10
    Online Resource
    Online Resource
    Interictal dynamic network transitions in mesial temporal lobe epilepsy
    Wiley ; 2022
    In:  Epilepsia Vol. 63, No. 9 ( 2022-09), p. 2242-2255
    Details
    In: Epilepsia, Wiley, Vol. 63, No. 9 ( 2022-09), p. 2242-2255
    Abstract: To reveal the possible routine of brain network dynamic alterations in patients with mesial temporal lobe epilepsy (mTLE) and to establish a predicted model of seizure recurrence during interictal periods. Methods Seventy‐nine unilateral mTLE patients with hippocampal sclerosis and 97 healthy controls from two centers were retrospectively enrolled. Dynamic brain configuration analyses were performed with resting‐state functional magnetic resonance imaging (MRI) data to quantify the functional stability over time and the dynamic interactions between brain regions. Relationships between seizure frequency and ipsilateral hippocampal module allegiance were evaluated using a machine learning predictive model. Results Compared to the healthy controls, patients with mTLE displayed an overall higher dynamic network, switching mainly in the epileptogenic regions (false discovery rate [FDR] corrected  p ‐FDR  〈  .05). Moreover, the dynamic network configuration in mTLE was characterized by decreased recruitment (intra‐network communication), and increased integration (inter‐network communication) among hippocampal systems and large‐scale higher‐order brain networks ( p ‐FDR  〈  .05). We further found that the dynamic interactions between the hippocampal system and the default‐mode network (DMN) or control networks exhibited an opposite distribution pattern ( p ‐FDR  〈  .05). Strikingly, we showed that there was a robust association between predicted seizure frequency based on the ipsilateral hippocampal‐DMN dynamics model and actual seizure frequency ( p ‐perm  〈  .001). Significance These findings suggest that the interictal brain of mTLE is characterized by dynamical shifts toward unstable state. Our study provides novel insights into the brain dynamic network alterations and supports the potential use of DMN dynamic parameters as candidate neuroimaging markers in monitoring the seizure frequency clinically during interictal periods.
    Type of Medium: Online Resource
    ISSN: 0013-9580 , 1528-1167
    URL: Issue
    URL: Article
    DOI: 10.1111/epi.v63.9
    DOI: 10.1111/epi.17325
    RVK:
    XA 10000
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2002194-X
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