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Lin Q, Shi Y, Huang H, Jiao B, Kuang C, Chen J, Rao Y, Zhu Y, Liu W, Huang R, Lin J, Ma L. Functional brain network alterations in the co-occurrence of autism spectrum disorder and attention deficit hyperactivity disorder. Eur Child Adolesc Psychiatry 2024; 33:369-380. [PMID: 36800038 DOI: 10.1007/s00787-023-02165-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 02/05/2023] [Indexed: 02/18/2023]
Abstract
Autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) are two highly prevalent and commonly co-occurring neurodevelopmental disorders. The neural mechanisms underpinning the comorbidity of ASD and ADHD (ASD + ADHD) remain unclear. We focused on the topological organization and functional connectivity of brain networks in ASD + ADHD patients versus ASD patients without ADHD (ASD-only). Resting-state functional magnetic resonance imaging (rs-fMRI) data from 114 ASD and 161 typically developing (TD) individuals were obtained from the Autism Brain Imaging Data Exchange II. The ASD patients comprised 40 ASD + ADHD and 74 ASD-only individuals. We constructed functional brain networks for each group and performed graph-theory and network-based statistic (NBS) analyses. Group differences between ASD + ADHD and ASD-only were analyzed at three levels: nodal, global, and connectivity. At the nodal level, ASD + ADHD exhibited topological disorganization in the temporal and occipital regions, compared with ASD-only. At the global level, ASD + ADHD and ASD-only displayed no significant differences. At the connectivity level, the NBS analysis revealed that ASD + ADHD showed enhanced functional connectivity between the prefrontal and frontoparietal regions, as well as between the orbitofrontal and occipital regions, compared with ASD-only. The hippocampus was the shared region in aberrant functional connectivity patterns in ASD + ADHD and ASD-only compared with TD. These findings suggests that ASD + ADHD displays altered topology and functional connectivity in the brain regions that undertake social cognition, language processing, and sensory processing.
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Affiliation(s)
- Qiwen Lin
- School of Public Health and Management, Guangzhou University of Chinese Medicine, University Town, No.232, Huandong Road, Guangzhou, 510006, People's Republic of China
| | - Yafei Shi
- School of Fundamental Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, 510006, People's Republic of China
| | - Huiyuan Huang
- School of Public Health and Management, Guangzhou University of Chinese Medicine, University Town, No.232, Huandong Road, Guangzhou, 510006, People's Republic of China
| | - Bingqing Jiao
- School of Public Health and Management, Guangzhou University of Chinese Medicine, University Town, No.232, Huandong Road, Guangzhou, 510006, People's Republic of China
| | - Changyi Kuang
- School of Public Health and Management, Guangzhou University of Chinese Medicine, University Town, No.232, Huandong Road, Guangzhou, 510006, People's Republic of China
| | - Jiawen Chen
- School of Public Health and Management, Guangzhou University of Chinese Medicine, University Town, No.232, Huandong Road, Guangzhou, 510006, People's Republic of China
| | - Yuyang Rao
- School of Public Health and Management, Guangzhou University of Chinese Medicine, University Town, No.232, Huandong Road, Guangzhou, 510006, People's Republic of China
| | - Yunpeng Zhu
- School of Public Health and Management, Guangzhou University of Chinese Medicine, University Town, No.232, Huandong Road, Guangzhou, 510006, People's Republic of China
| | - Wenting Liu
- School of Public Health and Management, Guangzhou University of Chinese Medicine, University Town, No.232, Huandong Road, Guangzhou, 510006, People's Republic of China
| | - Ruiwang Huang
- Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, School of Psychology, South China Normal University, Guangzhou, 510631, People's Republic of China
| | - Jiabao Lin
- School of Public Health and Management, Guangzhou University of Chinese Medicine, University Town, No.232, Huandong Road, Guangzhou, 510006, People's Republic of China.
- Institut Des Sciences Cognitives Marc Jeannerod, CNRS UMR 5229, Université Claude Bernard, Lyon 1, Lyon, France.
| | - Lijun Ma
- School of Public Health and Management, Guangzhou University of Chinese Medicine, University Town, No.232, Huandong Road, Guangzhou, 510006, People's Republic of China.
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Wu X, Wang L, Jiang H, Fu Y, Wang T, Ma Z, Wu X, Wang Y, Fan F, Song Y, Lv Y. Frequency-dependent and time-variant alterations of neural activity in post-stroke depression: A resting-state fMRI study. Neuroimage Clin 2023; 38:103445. [PMID: 37269698 PMCID: PMC10244813 DOI: 10.1016/j.nicl.2023.103445] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 05/23/2023] [Accepted: 05/24/2023] [Indexed: 06/05/2023]
Abstract
BACKGROUND Post-stroke depression (PSD) is one of the most frequent psychiatric disorders after stroke. However, the underlying brain mechanism of PSD remains unclarified. Using the amplitude of low-frequency fluctuation (ALFF) approach, we aimed to investigate the abnormalities of neural activity in PSD patients, and further explored the frequency and time properties of ALFF changes in PSD. METHODS Resting-state fMRI data and clinical data were collected from 39 PSD patients (PSD), 82 S patients without depression (Stroke), and 74 age- and sex-matched healthy controls (HC). ALFF across three frequency bands (ALFF-Classic: 0.01-0.08 Hz; ALFF-Slow4: 0.027-0.073 Hz; ALFF-Slow5: 0.01-0.027 Hz) and dynamic ALFF (dALFF) were computed and compared among three groups. Ridge regression analyses and spearman's correlation analyses were further applied to explore the relationship between PSD-specific alterations and depression severity in PSD. RESULTS We found that PSD-specific alterations of ALFF were frequency-dependent and time-variant. Specially, compared to both Stroke and HC groups, PSD exhibited increased ALFF in the contralesional dorsolateral prefrontal cortex (DLPFC) and insula in all three frequency bands. Increased ALFF in ipsilesional DLPFC were observed in both slow-4 and classic frequency bands which were positively correlated with depression scales in PSD, while increased ALFF in the bilateral hippocampus and contralesional rolandic operculum were only found in slow-5 frequency band. These PSD-specific alterations in different frequency bands could predict depression severity. Moreover, decreased dALFF in contralesional superior temporal gyrus were observed in PSD group. LIMITATIONS Longitudinal studies are required to explore the alterations of ALFF in PSD as the disease progress. CONCLUSIONS The frequency-dependent and time-variant properties of ALFF could reflect the PSD-specific alterations in complementary ways, which may assist to elucidate underlying neural mechanisms and be helpful for early diagnosis and interventions for the disease.
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Affiliation(s)
- Xiumei Wu
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang, China
| | - Luoyu Wang
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China; Department of Radiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Haibo Jiang
- Department of Neurology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Yanhui Fu
- Department of Neurology, Anshan Changda Hospital, Anshan, Liaoning, China
| | - Tiantian Wang
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang, China
| | - Zhenqiang Ma
- Department of Neurology, Anshan Changda Hospital, Anshan, Liaoning, China
| | - Xiaoyan Wu
- Department of Image, Anshan Changda Hospital, Anshan, Liaoning, China
| | - Yiying Wang
- Department of Ultrasonics, Anshan Changda Hospital, Anshan, Liaoning, China
| | - Fengmei Fan
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing, China.
| | - Yulin Song
- Department of Neurology, Anshan Changda Hospital, Anshan, Liaoning, China.
| | - Yating Lv
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang, China.
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Fan Y, Wang L, Jiang H, Fu Y, Ma Z, Wu X, Wang Y, Song Y, Fan F, Lv Y. Depression circuit adaptation in post-stroke depression. J Affect Disord 2023; 336:52-63. [PMID: 37201899 DOI: 10.1016/j.jad.2023.05.016] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 04/22/2023] [Accepted: 05/06/2023] [Indexed: 05/20/2023]
Abstract
BACKGROUND Lesion locations of post-stroke depression (PSD) mapped to a depression circuit which centered by the left dorsolateral prefrontal cortex (DLPFC). However, it remains unknown whether the compensatory adaptations that may occur in this depression circuit due to the lesions in PSD. METHODS Rs-fMRI data were collected from 82 non-depressed stroke patients (Stroke), 39 PSD patients and 74 healthy controls (HC). We tested the existence of depression circuit, examined PSD-related alterations of DLPFC-seeded connectivity and their associations with depression severity, and analyzed the connectivity between each repetitive transcranial magnetic stimulation (rTMS) target and DLPFC to find the best treatment target for PSD. RESULTS We found that: 1) the left DLPFC showed significantly stronger connectivity to lesions of PSD than Stroke group; 2) in comparison to both Stroke and HC groups, PSD exhibited increased connectivity with DLPFC in bilateral lingual gyrus, contralesional superior frontal gyrus, precuneus, and middle frontal gyrus (MFG); 3) the connectivity between DLPFC and the contralesional lingual gyrus positively correlated with depression severity; 4) the rTMS target in center of MFG showed largest between-group difference in connectivity with DLPFC, and also reported the highest predicted clinical efficacy. LIMITATIONS Longitudinal studies are required to explore the alterations of depression circuit in PSD as the disease progress. CONCLUSION PSD underwent specific alterations in depression circuit, which may help to establish objective imaging markers for early diagnosis and interventions of the disease.
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Affiliation(s)
- Yanzi Fan
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang, China
| | - Luoyu Wang
- Department of Radiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Haibo Jiang
- Department of Neurology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Yanhui Fu
- Department of Neurology, Anshan Changda Hospital, Anshan, Liaoning, China
| | - Zhenqiang Ma
- Department of Neurology, Anshan Changda Hospital, Anshan, Liaoning, China
| | - Xiaoyan Wu
- Department of Image, Anshan Changda Hospital, Anshan, Liaoning 114005, China
| | - Yiying Wang
- Department of Ultrasonics, Anshan Changda Hospital, Anshan, Liaoning, China
| | - Yulin Song
- Department of Neurology, Anshan Changda Hospital, Anshan, Liaoning, China.
| | - Fengmei Fan
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing, China.
| | - Yating Lv
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang, China.
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Hou X, Xiao X, Gong Y, Jiang Y, Sun P, Li J, Li Z, Zhao X, Yao L, Chen A, Zhu C. Functional Near-Infrared Spectroscopy Neurofeedback of Cortical Target Enhances Hippocampal Activation and Memory Performance. Neurosci Bull 2021; 37:1251-1255. [PMID: 34169479 DOI: 10.1007/s12264-021-00736-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 03/16/2021] [Indexed: 11/25/2022] Open
Affiliation(s)
- Xin Hou
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Xiang Xiao
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Yilong Gong
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Yihan Jiang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Peipei Sun
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Juan Li
- CAS Key Laboratory of Mental Health, Center on Aging Psychology, Institute of Psychology, Beijing, 100101, China
| | - Zheng Li
- State Key Laboratory of Cognitive Neuroscience and Learning, Center for Cognition and Neuroergonomics, Beijing Normal University at Zhuhai, Zhuhai, 519085, China
- Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, 100875, China
| | - Xiaojie Zhao
- College of Information Science and Technology, Beijing Normal University, Beijing, 100875, China
| | - Li Yao
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
- College of Information Science and Technology, Beijing Normal University, Beijing, 100875, China
| | - Antao Chen
- Key Laboratory of Cognition and Personality of the Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, 400715, China
| | - Chaozhe Zhu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.
- Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, 100875, China.
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