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Article ; Online: Sensory symptoms relieved by navigated rTMS, targeted using lesion network mapping based on human brain connectome, in a patient after thalamic stroke.

Zhang, Mengdan / Xie, Xiaohui / Zhan, Yuqian / Jiang, Yu / Bai, Tongjian / Zhang, Long / Wang, Kai / Ji, Gong-Jun / Tian, Yanghua

Neurophysiologie clinique = Clinical neurophysiology

2024 Volume 54, Issue 1, Page(s) 102953

MeSH term(s)	Humans ; Connectome ; Brain/pathology ; Transcranial Magnetic Stimulation ; Stroke/complications ; Stroke/therapy ; Stroke/pathology ; Magnetic Resonance Imaging ; Brain Mapping
Language	English
Publishing date	2024-02-20
Publishing country	France
Document type	Letter
ZDB-ID	639421-8
ISSN	1769-7131 ; 0987-7053
ISSN (online)	1769-7131
ISSN	0987-7053
DOI	10.1016/j.neucli.2024.102953
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Zs.A 1049: Show issues

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Article ; Online: Transcranial alternating current stimulation enhances speech comprehension in chronic post-stroke aphasia patients: A single-blind sham-controlled study.

Xie, Xiaohui / Hu, Panpan / Tian, Yanghua / Wang, Kai / Bai, Tongjian

Brain stimulation

2022 Volume 15, Issue 6, Page(s) 1538–1540

Language	English
Publishing date	2022-12-06
Publishing country	United States
Document type	Letter
ZDB-ID	2394410-9
ISSN	1876-4754 ; 1935-861X
ISSN (online)	1876-4754
ISSN	1935-861X
DOI	10.1016/j.brs.2022.12.001
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Zs.A 6740: Show issues

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Article ; Online: Molecular basis underlying changes of brain entropy and functional connectivity in major depressive disorders after electroconvulsive therapy.

Yu, Xiaohui / Chen, Kexuan / Ma, Yingzi / Bai, Tongjian / Zhu, Shunli / Cai, Defang / Zhang, Xing / Wang, Kai / Tian, Yanghua / Wang, Jiaojian

CNS neuroscience & therapeutics

2024 Volume 30, Issue 3, Page(s) e14690

Abstract: Introduction: Electroconvulsive therapy (ECT) is widely used for treatment-resistant depression. However, it is unclear whether/how ECT can be targeted to affect brain regions and circuits in the brain to dynamically regulate mood and cognition.: ... ...

Abstract	Introduction: Electroconvulsive therapy (ECT) is widely used for treatment-resistant depression. However, it is unclear whether/how ECT can be targeted to affect brain regions and circuits in the brain to dynamically regulate mood and cognition. Methods: This study used brain entropy (BEN) to measure the irregular levels of brain systems in 46 major depressive disorder (MDD) patients before and after ECT treatment. Functional connectivity (FC) was further adopted to reveal changes of functional couplings. Moreover, transcriptomic and neurotransmitter receptor data were used to reveal genetic and molecular basis of the changes of BEN and functional connectivities. Results: Compared to pretreatment, the BEN in the posterior cerebellar lobe (PCL) significantly decreased and FC between the PCL and the right temporal pole (TP) significantly increased in MDD patients after treatment. Moreover, we found that these changes of BEN and FC were closely associated with genes' expression profiles involved in MAPK signaling pathway, GABAergic synapse, and dopaminergic synapse and were significantly correlated with the receptor/transporter density of 5-HT, norepinephrine, glutamate, etc. CONCLUSION: These findings suggest that loops in the cerebellum and TP are crucial for ECT regulation of mood and cognition, which provides new evidence for the antidepressant effects of ECT and the potential molecular mechanism leading to cognitive impairment.
MeSH term(s)	Humans ; Depressive Disorder, Major/therapy ; Electroconvulsive Therapy ; Entropy ; Brain ; Temporal Lobe ; Magnetic Resonance Imaging
Language	English
Publishing date	2024-02-01
Publishing country	England
Document type	Journal Article
ZDB-ID	2423461-8
ISSN	1755-5949 ; 1755-5930
ISSN (online)	1755-5949
ISSN	1755-5930
DOI	10.1111/cns.14690
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Zs.A 4537: Show issues

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Article ; Online: Molecular mechanisms underlying structural plasticity of electroconvulsive therapy in major depressive disorder.

Sun, Hui / Bai, Tongjian / Zhang, Xiaodong / Fan, Xinxin / Zhang, Kai / Zhang, Jiang / Hu, Qingmao / Xu, Jinping / Tian, Yanghua / Wang, Kai

Brain imaging and behavior

2024

Abstract: Although previous studies reported structural changes associated with electroconvulsive therapy (ECT) in major depressive disorder (MDD), the underlying molecular basis of ECT remains largely unknown. Here, we combined two independent structural MRI ... ...

Abstract	Although previous studies reported structural changes associated with electroconvulsive therapy (ECT) in major depressive disorder (MDD), the underlying molecular basis of ECT remains largely unknown. Here, we combined two independent structural MRI datasets of MDD patients receiving ECT and transcriptomic gene expression data from Allen Human Brain Atlas to reveal the molecular basis of ECT for MDD. We performed partial least square regression to explore whether/how gray matter volume (GMV) alterations were associated with gene expression level. Functional enrichment analysis was conducted using Metascape to explore ontological pathways of the associated genes. Finally, these genes were further assigned to seven cell types to determine which cell types contribute most to the structural changes in MDD patients after ECT. We found significantly increased GMV in bilateral hippocampus in MDD patients after ECT. Transcriptome-neuroimaging association analyses showed that expression levels of 726 genes were positively correlated with the increased GMV in MDD after ECT. These genes were mainly involved in synaptic signaling, calcium ion binding and cell-cell signaling, and mostly belonged to excitatory and inhibitory neurons. Moreover, we found that the MDD risk genes of CNR1, HTR1A, MAOA, PDE1A, and SST as well as ECT related genes of BDNF, DRD2, APOE, P2RX7, and TBC1D14 showed significantly positive associations with increased GMV. Overall, our findings provide biological and molecular mechanisms underlying structural plasticity induced by ECT in MDD and the identified genes may facilitate future therapy for MDD.
Language	English
Publishing date	2024-04-26
Publishing country	United States
Document type	Journal Article
ZDB-ID	2377165-3
ISSN	1931-7565 ; 1931-7557
ISSN (online)	1931-7565
ISSN	1931-7557
DOI	10.1007/s11682-024-00884-9
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Article ; Online: Apathy in melancholic depression and abnormal neural activity within the reward-related circuit.

Jiang, Yu / Zhang, Ting / Zhang, Mengdan / Xie, Xiaohui / Tian, Yanghua / Wang, Kai / Bai, Tongjian

Behavioural brain research

2023 Volume 444, Page(s) 114379

Abstract: Major depressive disorder is a heterogeneous syndrome, of which the most common subtype is melancholic depression (MEL). Previous studies have indicated that anhedonia is frequently a cardinal feature in MEL. As a common syndrome of motivational deficit, ...

Abstract	Major depressive disorder is a heterogeneous syndrome, of which the most common subtype is melancholic depression (MEL). Previous studies have indicated that anhedonia is frequently a cardinal feature in MEL. As a common syndrome of motivational deficit, anhedonia is closely associated with dysfunction in reward-related networks. However, little is currently known about apathy, another syndrome of motivational deficits, and the underlying neural mechanisms in MEL and non-melancholic depression (NMEL). Herein, the Apathy Evaluation Scale (AES) was used to compare apathy between MEL and NMEL. On the basis of resting-state functional magnetic resonance imaging, functional connectivity strength (FCS) and seed-based functional connectivity (FC) were calculated within reward-related networks and compared among 43 patients with MEL, 30 patients with NMEL, and 35 healthy controls. Patients with MEL had higher AES scores than those with NMEL (t = -2.20, P = 0.03). Relative to NMEL, MEL was associated with greater FCS (t = 4.27, P < 0.001) in the left ventral striatum (VS), and greater FC of the VS with the ventral medial prefrontal cortex (t = 5.03, P < 0.001) and dorsolateral prefrontal cortex (t = 3.18, P = 0.005). Taken together the results indicate that reward-related networks may play diverse pathophysiological roles in MEL and NMEL, thus providing potential directions for future interventions in the treatment of various depression subtypes.
MeSH term(s)	Humans ; Anhedonia/physiology ; Depressive Disorder, Major ; Depression ; Apathy ; Magnetic Resonance Imaging ; Reward
Language	English
Publishing date	2023-03-02
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	449927-x
ISSN	1872-7549 ; 0166-4328
ISSN (online)	1872-7549
ISSN	0166-4328
DOI	10.1016/j.bbr.2023.114379
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Zs.A 1599: Show issues

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Article ; Online: Abnormal resting-state function within language network and its improvement among post-stroke aphasia.

Xie, Xiaohui / Hu, Panpan / Tian, Yanghua / Qiu, Bensheng / Wang, Kai / Bai, Tongjian

Behavioural brain research

2023 Volume 443, Page(s) 114344

Abstract: Several studies with resting-state magnetic resonance imaging (rs-fMRI) have examined functional impairments and plasticity within language network in patients with post-stroke aphasia (PSA). However, there is still ubiquitous inconsistency across these ... ...

Abstract	Several studies with resting-state magnetic resonance imaging (rs-fMRI) have examined functional impairments and plasticity within language network in patients with post-stroke aphasia (PSA). However, there is still ubiquitous inconsistency across these studies, partly due to restricted to very small sample size and the absence of validation with follow-up data. In the current study, we aimed at providing relatively strong evidence to support functional impairments and its reorganization in PSA. Here, the amplitude of low frequency fluctuations (ALFF) and functional connectivity were used to assess functional alterations of PSA with moderate sample size at baseline (thirty-five PSA patients and thirty-five healthy controls). Functional abnormalities at baseline were observed whether improved among sixteen follow-up patients. Compared with controls, PSA at baseline presented decreased ALFF in the left inferior frontal gyrus (IFG) and decreased functional connectivity of the left IFG with the bilateral supplementary motor area (SMA) and right superior temporal gyrus (STG). The decreased ALFF in IFG, decreased IFG-SMA and IFG-STG connectivity were enhanced among follow-up patients and was synchronized with language-performance improvement. Our results revealed reduced intrinsic neural activity and inter-connections within language network in PSA, which would be normalized synchronously as the improvement of language performance.
MeSH term(s)	Humans ; Aphasia ; Magnetic Resonance Imaging/methods ; Language ; Temporal Lobe ; Prefrontal Cortex ; Brain ; Brain Mapping/methods
Language	English
Publishing date	2023-02-11
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	449927-x
ISSN	1872-7549 ; 0166-4328
ISSN (online)	1872-7549
ISSN	0166-4328
DOI	10.1016/j.bbr.2023.114344
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Zs.A 1599: Show issues

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Article ; Online: Electroconvulsive therapy regulates brain connectome dynamics in patients with major depressive disorder.

Guo, Yuanyuan / Xia, Mingrui / Ye, Rong / Bai, Tongjian / Wu, Yue / Ji, Yang / Yu, Yue / Ji, Gong-Jun / Wang, Kai / He, Yong / Tian, Yanghua

Biological psychiatry

2024

Abstract: Background: Electroconvulsive therapy (ECT) is an effective treatment for patients with major depressive disorder (MDD), but its underlying neural mechanisms remain largely unknown. The aim of this study was to identify changes in brain connectome ... ...

Abstract	Background: Electroconvulsive therapy (ECT) is an effective treatment for patients with major depressive disorder (MDD), but its underlying neural mechanisms remain largely unknown. The aim of this study was to identify changes in brain connectome dynamics after ECT in MDD and to explore their associations with treatment outcome. Methods: We collected longitudinal resting-state fMRI data from 80 MDD patients (50 with suicidal ideation and 30 without; SI and NSI, respectively) before and after ECT and 37 age- and sex-matched healthy controls. A multilayer network model was used to assess modular switching over time in functional connectomes. Support vector regression was used to assess whether pre-ECT network dynamics could predict treatment response in terms of symptom severity. Results: At baseline, MDD patients had lower global modularity and higher modular variability in functional connectomes compared to controls. Network modularity increased and network variability decreased after ECT in MDD patients, predominantly located in the default mode and somatomotor networks. Moreover, ECT was associated with decreased modular variability in the left dorsal anterior cingulate cortex of MDD-SI, but not MDD-NSI patients, and pre-ECT modular variability could significantly predict symptom improvement in the MDD-SI group, but not in the MDD-NSI group. Conclusions: We highlight ECT-induced changes in MDD brain network dynamics and their predictive value for treatment outcome, particularly in patients with suicidal ideation. This study advances our understanding of the neural mechanisms of ECT from a dynamic brain network perspective and suggests potential prognostic biomarkers for predicting ECT efficacy in patients with MDD.
Language	English
Publishing date	2024-03-21
Publishing country	United States
Document type	Journal Article
ZDB-ID	209434-4
ISSN	1873-2402 ; 0006-3223
ISSN (online)	1873-2402
ISSN	0006-3223
DOI	10.1016/j.biopsych.2024.03.012
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Article ; Online: Mapping intrinsic functional network topological architecture in major depression disorder after electroconvulsive therapy.

Li, Yuanyuan / Li, Yue / Wei, Qiang / Bai, Tongjian / Wang, Kai / Wang, Jiaojian / Tian, Yanghua

Journal of affective disorders

2022 Volume 311, Page(s) 103–109

Abstract: Disrupted topological organization of functional brain networks has been well documented in major depressive disorder (MDD). However, there is no report about how electroconvulsive therapy (ECT), a rapid way for depression remission, affects whole-brain ... ...

Abstract	Disrupted topological organization of functional brain networks has been well documented in major depressive disorder (MDD). However, there is no report about how electroconvulsive therapy (ECT), a rapid way for depression remission, affects whole-brain functional network topological architecture to improve clinical symptoms in individuals with MDD. In this study, resting-state functional magnetic resonance imaging (rs-fMRI) data were collected for twenty-four MDD patients before and after receiving ECT and 25 gender-, age- and education-matched healthy controls (HC). The functional brain network for each subject was mapped using Brainnetome Atlas and graph-theory was applied to measure topological properties for both binary and weighted network. The results showed that ECT can significantly increase shortest path length and decrease global efficiency in MDD patients. In addition, significant alterations in nodal degree, nodal efficiency as well as between nodal functional connectivity strength were found in MDD patients after ECT. The network nodes showing changed degree, efficiency and connectivity were primarily distributed in default mode network (DMN), fronto-parietal network (FPN), and limbic system. Our findings demonstrates that ECT improves depressive symptoms by reorganizing disrupted network topological architecture in MDD patients and highlights the important role of functional reorganization of DMN, FPN, and limbic network contributing to depression remission.
MeSH term(s)	Brain ; Brain Mapping ; Depression ; Depressive Disorder, Major/diagnostic imaging ; Depressive Disorder, Major/pathology ; Depressive Disorder, Major/therapy ; Electroconvulsive Therapy ; Humans ; Magnetic Resonance Imaging/methods ; Neural Pathways
Language	English
Publishing date	2022-05-18
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	135449-8
ISSN	1573-2517 ; 0165-0327
ISSN (online)	1573-2517
ISSN	0165-0327
DOI	10.1016/j.jad.2022.05.067
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Article ; Online: Corrigendum to 'Bifrontal electroconvulsive therapy changed regional homogeneity and functional connectivity of left angular gyrus in major depressive disorder'.

Mo, Yuting / Wei, Qiang / Bai, Tongjian / Zhang, Ting / Lv, Huaming / Zhang, Li / Ji, Gongjun / Yu, Fengqiong / Tian, Yanghua / Wang, Kai

Psychiatry research

2021 Volume 303, Page(s) 114095

Language	English
Publishing date	2021-07-08
Publishing country	Ireland
Document type	Letter ; Published Erratum
ZDB-ID	445361-x
ISSN	1872-7123 ; 1872-7506 ; 0925-4927 ; 0165-1781
ISSN (online)	1872-7123 ; 1872-7506
ISSN	0925-4927 ; 0165-1781
DOI	10.1016/j.psychres.2021.114095
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Article: Resting-State Neural-Activity Alterations in Subacute Aphasia after Stroke.

Xie, Xiaohui / Zhang, Ting / Bai, Tongjian / Chen, Chen / Ji, Gong-Jun / Tian, Yanghua / Yang, Jinying / Wang, Kai

Brain sciences

2022 Volume 12, Issue 5

Abstract: Linguistic deficits are frequent symptoms among stroke survivors. The neural mechanism of post-stroke aphasia (PSA) was incompletely understood. Recently, resting-state functional magnetic resonance imaging (rs-fMRI) was widely used among several ... ...

Abstract	Linguistic deficits are frequent symptoms among stroke survivors. The neural mechanism of post-stroke aphasia (PSA) was incompletely understood. Recently, resting-state functional magnetic resonance imaging (rs-fMRI) was widely used among several neuropsychological disorders. However, previous rs-fMRI studies of PSA were limited to very small sample size and the absence of reproducibility with different neuroimaging indexes. The present study performed comparisons with static and dynamic amplitude of low-frequency fluctuations (ALFF) and functional connectivity (FC) based on modest sample size (40 PSA and 37 healthy controls). Compared with controls, PSA showed significantly increased static ALFF predominantly in the bilateral supplementary motor area (SMA) and right hippocampus-parahippocampus (R HIP-ParaHip) and decreased static ALFF in right cerebellum. The increased dynamic ALFF in SMA and decreased dynamic ALFF in right cerebellum were also found in PSA. The static and dynamic ALFF in right cerebellum was positively correlated with spontaneous speech. The FC between the SMA and R HIP-ParaHip was significantly stronger in patients than controls and positively correlated with ALFF in bilateral SMA. In addition, the FC between the R HIP-ParaHip and the right temporal was also enhanced in patients and negatively correlated with repetition, naming, and comprehension score. These findings revealed consistently abnormal intrinsic neural activity in SMA and cerebellum, which may underlie linguistic deficits in PSA.
Language	English
Publishing date	2022-05-22
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2651993-8
ISSN	2076-3425
ISSN	2076-3425
DOI	10.3390/brainsci12050678
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