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Abbas S, Alam A, Ahmad B, Abbas M, Feng X, Huang J, Khan KA, Ghramh HA, Muhammad S, Ali J, Schilthuizen M, Romano D, Chen RZ. Lateralized courtship behavior in Ostrinia furnacalis (Lepidoptera: Crambidae): influence of gender, sexual experience, and its effects on mating success. ENVIRONMENTAL ENTOMOLOGY 2025:nvaf030. [PMID: 40293857 DOI: 10.1093/ee/nvaf030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2024] [Revised: 01/28/2025] [Accepted: 02/27/2025] [Indexed: 04/30/2025]
Abstract
Lateralization in mating behavior is increasingly recognized as a significant trait in insect species, yet its influence associated with gender, and sexual experience in Ostrinia furnacalis (Guenée) remains poorly understood. This study examines how lateralized mating behaviors, gender, and sexual experience interact to influence mating success and efficiency in O. furnacalis. We conducted controlled mating trials to assess how gender and sexual experience shape lateralized directional approaches (eg right- or left-biased) and turnings (eg 180° right- or left-biased) across the pre-copulatory, copulatory, and post-copulatory phases. Our results indicated that, in terms of gender, males were more likely to approach females, whereas females rarely initiated approaches, with both approaches each other simultaneously being infrequent. Both virgin and experienced males showed higher right-biased directional approaches than the front approaches to the females with more left-biased directional turns for successful intromissive copulation. Experienced males showed greater mating success than virgins. In contrast, experienced females exhibited lower mating success and longer post-copulatory interactions compared to virgin females, particularly duration of copulation. Post-copulatory interactions showed that antennal touching occurred more frequently in the experienced pairs. This study is the first to demonstrate the combined influence of gender and sexual experience on lateralized mating dynamics, with male courtship behaviors linked to learning processes. The results indicate that sexual experience, potentially involving learning and memory processes, significantly enhances mating efficiency and fitness in O. furnacalis. This research provides a more nuanced understanding of lateralized mating behaviors in O. furnacalis, with implications for refining pest management strategies in agricultural environments.
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Affiliation(s)
- Sohail Abbas
- College of Plant Protection, Jilin Agricultural University, Changchun, Jilin, PR China
| | - Aleena Alam
- College of Plant Protection, Jilin Agricultural University, Changchun, Jilin, PR China
| | - Bilal Ahmad
- College of Plant Protection, Jilin Agricultural University, Changchun, Jilin, PR China
| | - Muneer Abbas
- Arid Zone Research Institute, Bhakkar, Punjab, Pakistan
| | - Xiao Feng
- College of Plant Protection, Jilin Agricultural University, Changchun, Jilin, PR China
| | - Jingxuan Huang
- College of Plant Protection, Jilin Agricultural University, Changchun, Jilin, PR China
| | - Khalid Ali Khan
- Center of Bee Research and its Products and Research Center for Advanced Materials Science (RCAMS), King Khalid University, Abha, Saudi Arabia
- Applied College, King Khalid University, Abha, Saudi Arabia
| | - Hamed A Ghramh
- Applied College, King Khalid University, Abha, Saudi Arabia
- Biology Department, College of Science, King Khalid University, Abha, Saudi Arabia
| | - Shakeel Muhammad
- College of Plant Protection, Jilin Agricultural University, Changchun, Jilin, PR China
| | - Jamin Ali
- College of Plant Protection, Jilin Agricultural University, Changchun, Jilin, PR China
| | - Menno Schilthuizen
- Naturalis Biodiversity Center, Leiden, The Netherlands
- Institute for Biology Leiden, Leiden University, Leiden, The Netherlands
| | - Donato Romano
- The BioRobotics Institute & Department of Excellence in Robotics and AI, Sant'Anna School of Advanced Studies, Pisa, Italy
| | - Ri-Zhao Chen
- College of Plant Protection, Jilin Agricultural University, Changchun, Jilin, PR China
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Stasenko A, Kaestner E, Rodriguez J, Benjamin C, Winstanley FS, Sepeta L, Horsfall J, Bookheimer SY, Shih JJ, Norman MA, Gooding A, McDonald CR. Neural (re)organisation of language and memory: implications for neuroplasticity and cognition. J Neurol Neurosurg Psychiatry 2025; 96:489-499. [PMID: 39890459 PMCID: PMC12022876 DOI: 10.1136/jnnp-2024-333871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 10/24/2024] [Indexed: 02/03/2025]
Abstract
BACKGROUND In the presence of neurological insult, how language and memory networks jointly reorganise provides insights into mechanisms of neuroplasticity and can inform presurgical planning. As (re)organisation is often studied within a single cognitive modality, how language and memory interact during (re)organisation in response to epilepsy and the implications for memory outcomes is less clear. We investigated (1) the rates and patterns of joint (re)organisation and (2) their associations with pre- and postsurgical memory function. METHODS Individuals with epilepsy (n=162) from three neurosurgical centres underwent the Wada procedure. We examined colateralisation patterns (ie, concordance/discordance) between language and both global and verbal memory (n=34), and associations with clinical characteristics and preoperative and postoperative memory outcomes. RESULTS Overall concordance between language and memory colateralisation was minimal-to-weak across both global memory and verbal memory (kappa=0.28-0.44). Discordance was primarily observed in individuals with left-lateralised language, of whom 52% and 32% showed discordance in global and verbal memory, respectively. Discordance was most pronounced in left hemisphere epilepsy and mesial temporal sclerosis. Conversely, right-lateralised language consistently predicted right-lateralised memory (95%-100%), regardless of seizure laterality or memory type. While discordance was not associated with presurgical memory function, discordance predicted superior postsurgical memory outcomes following surgery in the language-dominant hemisphere (p<0.05; ηp 2=0.30). CONCLUSIONS When language dominance is atypical, memory tends to colateralise. However, when language remains typical, concordance with memory is weak, particularly for left hemisphere seizure onset. An interhemispheric shift in language may trigger a shift in memory, possibly to maintain efficient communication between medial temporal and neocortical language networks. In contrast, memory appears able to reorganise in isolation, with discordance predicting better postsurgical memory outcomes without detriment to presurgical function. Our findings support the continued need for separate presurgical mapping of language and memory lateralisation, particularly in the case of typical language dominance and left hemisphere seizures.
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Affiliation(s)
- Alena Stasenko
- Ohio Health Rehabilitation Hospital, Columbus, Ohio, USA
| | - Erik Kaestner
- Psychiatry, University of California San Diego, La Jolla, California, USA
| | - Jonathan Rodriguez
- Radiation Medicine & Applied Sciences, University of California San Diego, La Jolla, California, USA
| | | | - F Scott Winstanley
- Neurology and Neurosurgery, Yale School of Medicine, New Haven, Connecticut, USA
| | - Leigh Sepeta
- George Washington University Medical School, Washington, Washington, USA
| | - Jessica Horsfall
- Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, California, USA
| | - Susan Y Bookheimer
- Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, California, USA
| | - Jerry J Shih
- Radiation Medicine & Applied Sciences, University of California San Diego, La Jolla, California, USA
| | - Marc A Norman
- Ohio Health Rehabilitation Hospital, Columbus, Ohio, USA
| | - Amanda Gooding
- Ohio Health Rehabilitation Hospital, Columbus, Ohio, USA
| | - Carrie R McDonald
- Ohio Health Rehabilitation Hospital, Columbus, Ohio, USA
- Psychiatry, University of California San Diego, La Jolla, California, USA
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Zhang C, Wu Y, Hu W, Li G, Yang C, Wu T. Frequency-band specific directed connectivity networks reveal functional disruptions and pathogenic patterns in temporal lobe epilepsy: a MEG study. Sci Rep 2025; 15:12326. [PMID: 40210922 PMCID: PMC11985499 DOI: 10.1038/s41598-025-90299-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2024] [Accepted: 02/12/2025] [Indexed: 04/12/2025] Open
Abstract
This study investigates the network mechanisms of temporal lobe epilepsy (TLE) using MEG data, focusing on directed connectivity networks across different frequency bands. Unlike previous studies that primarily localize epileptogenic zones, this research aims to explore whole-brain network differences between left TLE (lTLE), right TLE (rTLE), and healthy controls (HCs). MEG data from 13 lTLE patients, 21 rTLE patients, and 14 HCs were source-reconstructed to 116 brain regions (AAL116). Directed Transfer Function (DTF) was used to construct directed connectivity networks, followed by networks and graph-theoretical analyses. The results indicate that, compared to HCs, TLE subjects exhibited a significant increase in average connectivity strength in the Low Gamma band. The connectivity patterns across frequency bands in TLE patients were found to be unstable. Both HC and TLE subjects demonstrated left hemisphere lateralization. In the mid-to-low frequency bands, TLE subjects showed increases in global clustering coefficient (GCC), global characteristic path length (GCPL), and local efficiency (LE) compared to HCs, which is attributed to enhanced synchronization between local brain regions in TLE subjects.
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Affiliation(s)
- Chen Zhang
- Department of Biomedical Engineering, College of Chemistry and Life Sciences, Beijing University of Technology, Beijing, China
| | - Yutong Wu
- Department of Biomedical Engineering, College of Chemistry and Life Sciences, Beijing University of Technology, Beijing, China
| | - Wenhan Hu
- Department of Neurosurgery, Tiantan Hospital, Beijing, 100070, China
| | - Guangfei Li
- Department of Biomedical Engineering, College of Chemistry and Life Sciences, Beijing University of Technology, Beijing, China
| | - Chunlan Yang
- Department of Biomedical Engineering, College of Chemistry and Life Sciences, Beijing University of Technology, Beijing, China.
| | - Ting Wu
- Department of Radiology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210000, China.
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Blauch NM, Plaut DC, Vin R, Behrmann M. Individual variation in the functional lateralization of human ventral temporal cortex: Local competition and long-range coupling. IMAGING NEUROSCIENCE (CAMBRIDGE, MASS.) 2025; 3:imag_a_00488. [PMID: 40078535 PMCID: PMC11894816 DOI: 10.1162/imag_a_00488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2024] [Revised: 01/07/2025] [Accepted: 01/08/2025] [Indexed: 03/14/2025]
Abstract
The ventral temporal cortex (VTC) of the human cerebrum is critically engaged in high-level vision. One intriguing aspect of this region is its functional lateralization, with neural responses to words being stronger in the left hemisphere, and neural responses to faces being stronger in the right hemisphere; such patterns can be summarized with a signed laterality index (LI), positive for leftward laterality. Converging evidence has suggested that word laterality emerges to couple efficiently with left-lateralized frontotemporal language regions, but evidence is more mixed regarding the sources of the right lateralization for face perception. Here, we use individual differences as a tool to test three theories of VTC organization arising from (1) local competition between words and faces driven by long-range coupling between words and language processes, (2) local competition between faces and other categories, and (3) long-range coupling with VTC and temporal areas exhibiting local competition between language and social processing. First, in an in-house functional MRI experiment, we did not obtain a negative correlation in the LIs of word and face selectivity relative to object responses, but did find a positive correlation when using selectivity relative to a fixation baseline, challenging ideas of local competition between words and faces driving rightward face lateralization. We next examined broader local LI interactions with faces using the large-scale Human Connectome Project (HCP) dataset. Face and tool LIs were significantly anti-correlated, while face and body LIs were positively correlated, consistent with the idea that generic local representational competition and cooperation may shape face lateralization. Last, we assessed the role of long-range coupling in the development of VTC lateralization. Within our in-house experiment, substantial positive correlation was evident between VTC text LI and that of several other nodes of a distributed text-processing circuit. In the HCP data, VTC face LI was both negatively correlated with language LI and positively correlated with social processing in different subregions of the posterior temporal lobe (PSL and STSp, respectively). In summary, we find no evidence of local face-word competition in VTC; instead, more generic local interactions shape multiple lateralities within VTC, including face laterality. Moreover, face laterality is also influenced by long-range coupling with social processing in the posterior temporal lobe, where social processing may become right lateralized due to local competition with language.
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Affiliation(s)
- Nicholas M. Blauch
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, United States
- Department of Psychology, Harvard University, Cambridge, MA, United States
| | - David C. Plaut
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, United States
- Department of Psychology, Carnegie Mellon University, Pittsburgh, PA, United States
| | - Raina Vin
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, United States
- Neurosciences Graduate Program, Yale University, New Haven, CT, United States
| | - Marlene Behrmann
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, United States
- Department of Psychology, Carnegie Mellon University, Pittsburgh, PA, United States
- Department of Ophthalmology, University of Pittsburgh, Pittsburgh, PA, United States
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Blauch NM, Plaut DC, Vin R, Behrmann M. Individual variation in the functional lateralization of human ventral temporal cortex: Local competition and long-range coupling. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2024.10.15.618268. [PMID: 39464049 PMCID: PMC11507683 DOI: 10.1101/2024.10.15.618268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/29/2024]
Abstract
The ventral temporal cortex (VTC) of the human cerebrum is critically engaged in high-level vision. One intriguing aspect of this region is its functional lateralization, with neural responses to words being stronger in the left hemisphere, and neural responses to faces being stronger in the right hemisphere; such patterns can be summarized with a signed laterality index (LI), positive for leftward laterality. Converging evidence has suggested that word laterality emerges to couple efficiently with left-lateralized frontotemporal language regions, but evidence is more mixed regarding the sources of the right-lateralization for face perception. Here, we use individual differences as a tool to test three theories of VTC organization arising from: 1) local competition between words and faces driven by long-range coupling between words and language processes, 2) local competition between faces and other categories, 3) long-range coupling with VTC and temporal areas exhibiting local competition between language and social processing. First, in an in-house functional MRI experiment, we did not obtain a negative correlation in the LIs of word and face selectivity relative to object responses, but did find a positive correlation when using selectivity relative to a fixation baseline, challenging ideas of local competition between words and faces driving rightward face lateralization. We next examined broader local LI interactions with faces using the large-scale Human Connectome Project (HCP) dataset. Face and tool LIs were significantly anti-correlated, while face and body LIs were positively correlated, consistent with the idea that generic local representational competition and cooperation may shape face lateralization. Last, we assessed the role of long-range coupling in the development of VTC lateralization. Within our in-house experiment, substantial positive correlation was evident between VTC text LI and that of several other nodes of a distributed text-processing circuit. In the HCP data, VTC face LI was both negatively correlated with language LI and positively correlated with social processing in different subregions of the posterior temporal lobe (PSL and STSp, respectively). In summary, we find no evidence of local face-word competition in VTC; instead, more generic local interactions shape multiple lateralities within VTC, including face laterality. Moreover, face laterality is also influenced by long-range coupling with social processing in the posterior temporal lobe, where social processing may become right-lateralized due to local competition with language.
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Affiliation(s)
- Nicholas M Blauch
- Program in Neural Computation, Carnegie Mellon University
- Neuroscience Institute, Carnegie Mellon University
- Department of Psychology, Harvard University
| | - David C Plaut
- Department of Psychology, Carnegie Mellon University
- Neuroscience Institute, Carnegie Mellon University
| | - Raina Vin
- Department of Psychology, Carnegie Mellon University
- Neurosciences Graduate Program, Yale University
| | - Marlene Behrmann
- Department of Psychology, Carnegie Mellon University
- Neuroscience Institute, Carnegie Mellon University
- Department of Opthamology, University of Pittsburgh
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Li J, He J, Ren H, Li Z, Ma X, Yuan L, Ouyang L, Li C, He Y, Tang J, Chen X. Inter- and intra-hemispheric lateralization alterations in auditory verbal hallucinations of Schizophrenia: insights from resting-state functional connectivity. Eur Arch Psychiatry Clin Neurosci 2025:10.1007/s00406-024-01955-0. [PMID: 39751656 DOI: 10.1007/s00406-024-01955-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2024] [Accepted: 12/14/2024] [Indexed: 01/04/2025]
Abstract
Auditory verbal hallucinations (AVHs) in schizophrenia are hypothesized to involve alterations in hemispheric lateralization, but the specific neural mechanisms remain unclear. This study investigated functional intra- and inter-hemispheric connectivity to identify lateralization patterns unique to AVHs. Resting-state fMRI data were collected from 60 schizophrenia patients with persistent AVHs (p-AVH group), 39 patients without AVHs (n-AVH group), and 59 healthy controls (HC group). Using a homotopic atlas, we quantified lateralization indices of functional segregation and integration across 200 homotopic ROI pairs. Segregation was defined as the degree of preferential intra-hemispheric communication within each hemisphere versus inter-hemispheric communication. Integration was used to assess the extent of inter-hemispheric communication between the two hemispheres. Our findings revealed a significant rightward lateralization of segregation in two lateral prefrontal cortex homotopic pairs in the p-AVH group. Additionally, we observed a leftward lateralization of integration in an inferior parietal lobule homotopic pair within the temporoparietal junction region, specifically in the p-AVH group. Importantly, the lateralization index of segregation in the prefrontal cortex was negatively correlated with AVH severity, indicating that greater rightward lateralization is associated with more severe AVHs. These lateralization changes were absent when comparing the n-AVH group to HC group, suggesting they are unique to AVHs in schizophrenia. Our results underscore the pivotal role of altered hemispheric lateralization of functional segregation and integration in the etiology of AVHs, providing new insights into the neural mechanisms underlying these symptoms.
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Affiliation(s)
- Jinguang Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 310016, Hunan, China
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, China
| | - Jingqi He
- Department of Psychiatry, Sir Run-Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Honghong Ren
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 310016, Hunan, China
- Shandong Provincial Hospital Affiliated to Shandong First Medical University, Taian, Shandong, China
| | - Zongchang Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 310016, Hunan, China
| | - Xiaoqian Ma
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 310016, Hunan, China
| | - Liu Yuan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 310016, Hunan, China
| | - Lijun Ouyang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 310016, Hunan, China
| | - Chunwang Li
- Department of Radiology, Hunan Children's Hospital, Changsha, Hunan, China
| | - Ying He
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 310016, Hunan, China.
| | - Jinsong Tang
- Department of Psychiatry, Sir Run-Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
| | - Xiaogang Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 310016, Hunan, China.
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Liu X, Chen X, Cheng J, Wei F, Hou H, Li J, Liu K, Guo Z, Yan Z, Wu A. Functional connectivity gradients and neurotransmitter maps among patients with mild cognitive impairment and depression symptoms. J Psychiatry Neurosci 2025; 50:E11-E20. [PMID: 39753307 PMCID: PMC11684923 DOI: 10.1503/jpn.240111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2024] [Revised: 10/14/2024] [Accepted: 11/05/2024] [Indexed: 01/23/2025] Open
Abstract
BACKGROUND Both depressive symptoms and neurotransmitter changes affect the characteristics of functional brain networks in clinical patients. We sought to explore how brain functional grading is organized among patients with mild cognitive impairment and depressive symptoms (D-MCI) and whether changes in brain organization are related to neurotransmitter distribution. METHODS Using 3 T magnetic resonance imaging (MRI) we acquired functional MRI (fMRI) data from patients with D-MCI, patients with mild cognitive impairment without depression (nD-MCI), and healthy controls. We used resting-state fMRI and diffusion embedding to examine the pattern of functional connectivity gradients. We used analysis of covariance and post hoc t tests to compare the difference in functional connectivity gradients among the 3 groups. We examined the correlation between variations in functional connectivity gradients and neurotransmitter maps using the JuSpace toolbox. RESULTS We included 105 participants, including 31 patients with D-MCI, 40 patients with nD-MCI, and 34 healthy controls. Compared with healthy controls, both the nD-MCI and D-MCI groups showed abnormalities in the principal unimodal-transmodal gradient pattern. Compared with controls, the D-MCI group showed an increased secondary gradient in the default mode network. Differences in the functional connectivity gradients between the D-MCI and nD-MCI groups were significantly correlated with the distribution of 5-hydroxytryptamine receptor subtype 1A. LIMITATIONS The small sample size affects the generalizability of the results, and the neurotransmitter template is based on healthy participants, not patients. CONCLUSION Our results suggest that depressive symptoms cause abnormalities in the hierarchical segregation of functional brain organization among patients with MCI. Such abnormal changes may be related to the distribution of neurotransmitters.
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Affiliation(s)
- Xiaozheng Liu
- From the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, Zhejiang 325027, China (X. Liu, Chen, K. Liu, Yan, Wu); the Wenzhou Key Laboratory of Structural and Functional Imaging, Wenzhou, Zhejiang Province, China (X. Liu, Chen, K. Liu, Yan); the Jinhua Municipal Central Hospital, Jinhua, Zhejiang 321000, China (Chen); the Hebei General Hospital, Shijiazhuang, Hebei 050050, China (Cheng); the Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang 310012, China (Wei, Hou, Li, Guo); the Zhoushan Second People's Hospital, Zhoushan, Zhejiang 316000, China (Guo)
| | - Xiaojun Chen
- From the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, Zhejiang 325027, China (X. Liu, Chen, K. Liu, Yan, Wu); the Wenzhou Key Laboratory of Structural and Functional Imaging, Wenzhou, Zhejiang Province, China (X. Liu, Chen, K. Liu, Yan); the Jinhua Municipal Central Hospital, Jinhua, Zhejiang 321000, China (Chen); the Hebei General Hospital, Shijiazhuang, Hebei 050050, China (Cheng); the Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang 310012, China (Wei, Hou, Li, Guo); the Zhoushan Second People's Hospital, Zhoushan, Zhejiang 316000, China (Guo)
| | - Jinming Cheng
- From the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, Zhejiang 325027, China (X. Liu, Chen, K. Liu, Yan, Wu); the Wenzhou Key Laboratory of Structural and Functional Imaging, Wenzhou, Zhejiang Province, China (X. Liu, Chen, K. Liu, Yan); the Jinhua Municipal Central Hospital, Jinhua, Zhejiang 321000, China (Chen); the Hebei General Hospital, Shijiazhuang, Hebei 050050, China (Cheng); the Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang 310012, China (Wei, Hou, Li, Guo); the Zhoushan Second People's Hospital, Zhoushan, Zhejiang 316000, China (Guo)
| | - Fuquan Wei
- From the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, Zhejiang 325027, China (X. Liu, Chen, K. Liu, Yan, Wu); the Wenzhou Key Laboratory of Structural and Functional Imaging, Wenzhou, Zhejiang Province, China (X. Liu, Chen, K. Liu, Yan); the Jinhua Municipal Central Hospital, Jinhua, Zhejiang 321000, China (Chen); the Hebei General Hospital, Shijiazhuang, Hebei 050050, China (Cheng); the Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang 310012, China (Wei, Hou, Li, Guo); the Zhoushan Second People's Hospital, Zhoushan, Zhejiang 316000, China (Guo)
| | - Hongtao Hou
- From the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, Zhejiang 325027, China (X. Liu, Chen, K. Liu, Yan, Wu); the Wenzhou Key Laboratory of Structural and Functional Imaging, Wenzhou, Zhejiang Province, China (X. Liu, Chen, K. Liu, Yan); the Jinhua Municipal Central Hospital, Jinhua, Zhejiang 321000, China (Chen); the Hebei General Hospital, Shijiazhuang, Hebei 050050, China (Cheng); the Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang 310012, China (Wei, Hou, Li, Guo); the Zhoushan Second People's Hospital, Zhoushan, Zhejiang 316000, China (Guo)
| | - Jiapeng Li
- From the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, Zhejiang 325027, China (X. Liu, Chen, K. Liu, Yan, Wu); the Wenzhou Key Laboratory of Structural and Functional Imaging, Wenzhou, Zhejiang Province, China (X. Liu, Chen, K. Liu, Yan); the Jinhua Municipal Central Hospital, Jinhua, Zhejiang 321000, China (Chen); the Hebei General Hospital, Shijiazhuang, Hebei 050050, China (Cheng); the Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang 310012, China (Wei, Hou, Li, Guo); the Zhoushan Second People's Hospital, Zhoushan, Zhejiang 316000, China (Guo)
| | - Kun Liu
- From the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, Zhejiang 325027, China (X. Liu, Chen, K. Liu, Yan, Wu); the Wenzhou Key Laboratory of Structural and Functional Imaging, Wenzhou, Zhejiang Province, China (X. Liu, Chen, K. Liu, Yan); the Jinhua Municipal Central Hospital, Jinhua, Zhejiang 321000, China (Chen); the Hebei General Hospital, Shijiazhuang, Hebei 050050, China (Cheng); the Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang 310012, China (Wei, Hou, Li, Guo); the Zhoushan Second People's Hospital, Zhoushan, Zhejiang 316000, China (Guo)
| | - Zhongwei Guo
- From the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, Zhejiang 325027, China (X. Liu, Chen, K. Liu, Yan, Wu); the Wenzhou Key Laboratory of Structural and Functional Imaging, Wenzhou, Zhejiang Province, China (X. Liu, Chen, K. Liu, Yan); the Jinhua Municipal Central Hospital, Jinhua, Zhejiang 321000, China (Chen); the Hebei General Hospital, Shijiazhuang, Hebei 050050, China (Cheng); the Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang 310012, China (Wei, Hou, Li, Guo); the Zhoushan Second People's Hospital, Zhoushan, Zhejiang 316000, China (Guo)
| | - Zhihan Yan
- From the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, Zhejiang 325027, China (X. Liu, Chen, K. Liu, Yan, Wu); the Wenzhou Key Laboratory of Structural and Functional Imaging, Wenzhou, Zhejiang Province, China (X. Liu, Chen, K. Liu, Yan); the Jinhua Municipal Central Hospital, Jinhua, Zhejiang 321000, China (Chen); the Hebei General Hospital, Shijiazhuang, Hebei 050050, China (Cheng); the Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang 310012, China (Wei, Hou, Li, Guo); the Zhoushan Second People's Hospital, Zhoushan, Zhejiang 316000, China (Guo)
| | - Aiqin Wu
- From the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, Zhejiang 325027, China (X. Liu, Chen, K. Liu, Yan, Wu); the Wenzhou Key Laboratory of Structural and Functional Imaging, Wenzhou, Zhejiang Province, China (X. Liu, Chen, K. Liu, Yan); the Jinhua Municipal Central Hospital, Jinhua, Zhejiang 321000, China (Chen); the Hebei General Hospital, Shijiazhuang, Hebei 050050, China (Cheng); the Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang 310012, China (Wei, Hou, Li, Guo); the Zhoushan Second People's Hospital, Zhoushan, Zhejiang 316000, China (Guo)
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Sha Z, Francks C. Large-scale genetic mapping for human brain asymmetry. HANDBOOK OF CLINICAL NEUROLOGY 2025; 208:241-254. [PMID: 40074400 DOI: 10.1016/b978-0-443-15646-5.00029-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/14/2025]
Abstract
Left-right asymmetry is an important aspect of human brain organization for functions including language and hand motor control, which can be altered in some psychiatric traits. The last 5 years have seen rapid advances in the identification of specific genes linked to variation in asymmetry of the human brain and/or handedness. These advances have been driven by a new generation of large-scale genome-wide association studies, carried out in samples ranging from roughly 16,000 to over 1.5 million participants. The implicated genes tend to be most active in the embryonic and fetal brain, consistent with early developmental patterning of brain asymmetry. Several of the genes encode components of microtubules or other microtubule-associated proteins. Microtubules are key elements of the internal cellular skeleton (cytoskeleton). A major challenge remains to understand how these genes affect, or even induce, the brain's left-right axis. Several of the implicated genes have also been associated with psychiatric or neurologic disorders, and polygenic dispositions to autism and schizophrenia have been associated with structural brain asymmetry. Knowledge of developmental mechanisms that lead to hemispheric specialization may ultimately help to define etiologic subtypes of brain disorders.
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Affiliation(s)
- Zhiqiang Sha
- Language & Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Clyde Francks
- Language & Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands; Department of Cognitive Neuroscience & Donders Community for Medical Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands.
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9
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Banjac S, Baciu M. Unveiling the hemispheric specialization of language: Organization and neuroplasticity. HANDBOOK OF CLINICAL NEUROLOGY 2025; 208:351-365. [PMID: 40074406 DOI: 10.1016/b978-0-443-15646-5.00008-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/14/2025]
Abstract
The advancements in understanding hemispheric specialization of language (HSL) have been following two primary avenues: the development of neuroimaging techniques and the study of its reorganizations in patients with various neuropathologic conditions. Hence, the objectives of this chapter are twofold. First, to provide an overview of the key neuroimaging techniques employed to investigate HSL, along with the notable findings derived from them in the healthy population. Second, it focuses on the reorganization of HSL in physiologic (healthy aging) and pathologic (poststroke aphasia and temporal lobe epilepsy) conditions. The chapter emphasizes the importance of employing multimodal methodologies to comprehend the complex relationship between underlying HSL mechanisms affected by disease and resulting language impairments. Combining the neuroimaging techniques can help us understand how different characteristics of language networks combine into general mechanisms that support their plasticity. Nevertheless, it highlights the need for standardized HSL metrics, as the absence of such metrics poses challenges in synthesizing findings across studies. Additionally, while HSL findings are being accumulated, albeit multimodal, there is a lack of integration within a robust theoretical framework. In conclusion, there is a need for novel models acknowledging multimodal aspects of HSL while positioning it within the context of other cognitive functions.
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Affiliation(s)
- Sonja Banjac
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LPNC, Grenoble, France
| | - Monica Baciu
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LPNC, Grenoble, France.
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10
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Wan B, Saberi A, Paquola C, Schaare HL, Hettwer MD, Royer J, John A, Dorfschmidt L, Bayrak Ş, Bethlehem RAI, Eickhoff SB, Bernhardt BC, Valk SL. Microstructural asymmetry in the human cortex. Nat Commun 2024; 15:10124. [PMID: 39578424 PMCID: PMC11584796 DOI: 10.1038/s41467-024-54243-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Accepted: 11/01/2024] [Indexed: 11/24/2024] Open
Abstract
The human cerebral cortex shows hemispheric asymmetry, yet the microstructural basis of this asymmetry remains incompletely understood. Here, we probe layer-specific microstructural asymmetry using one post-mortem male brain. Overall, anterior and posterior regions show leftward and rightward asymmetry respectively, but this pattern varies across cortical layers. A similar anterior-posterior pattern is observed using in vivo Human Connectome Project (N = 1101) T1w/T2w microstructural data, with average cortical asymmetry showing the strongest similarity with post-mortem-based asymmetry of layer III. Moreover, microstructural asymmetry is found to be heritable, varies as a function of age and sex, and corresponds to intrinsic functional asymmetry. We also observe a differential association of language and markers of mental health with microstructural asymmetry patterns at the individual level, illustrating a functional divergence between inferior-superior and anterior-posterior microstructural axes, possibly anchored in development. Last, we could show concordant evidence with alternative in vivo microstructural measures: magnetization transfer (N = 286) and quantitative T1 (N = 50). Together, our study highlights microstructural asymmetry in the human cortex and its functional and behavioral relevance.
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Grants
- International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity (IMPRS NeuroCom), Graduate Academy Leipzig, and Mitacs Globalink Research Award.
- German Ministry for Education and Research (BMBF) and the Max Planck Society
- National Science and Engineering Research Council of Canada (NSERC Discovery-1304413), Canadian Institutes of Health Research (FDN-154298, PJT-174995), SickKids Foundation (NI17-039), BrainCanada, FRQ-S, the Tier-2 Canada Research Chairs program, and Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL).
- Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) and Otto Hahn Award at Max Planck Society.
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Affiliation(s)
- Bin Wan
- Otto Hahn Research Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
- International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity (IMPRS NeuroCom), Leipzig, Germany.
- Department of Cognitive Neurology, University Hospital Leipzig and Faculty of Medicine, University of Leipzig, Leipzig, Germany.
- Institute of Neuroscience and Medicine (INM-7: Brain and Behavior), Research Center Jülich, Jülich, Germany.
| | - Amin Saberi
- Otto Hahn Research Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Institute of Neuroscience and Medicine (INM-7: Brain and Behavior), Research Center Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorfpital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Casey Paquola
- Institute of Neuroscience and Medicine (INM-7: Brain and Behavior), Research Center Jülich, Jülich, Germany
| | - H Lina Schaare
- Otto Hahn Research Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Institute of Neuroscience and Medicine (INM-7: Brain and Behavior), Research Center Jülich, Jülich, Germany
| | - Meike D Hettwer
- Otto Hahn Research Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Institute of Neuroscience and Medicine (INM-7: Brain and Behavior), Research Center Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorfpital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Max Planck School of Cognition, Leipzig, Germany
| | - Jessica Royer
- McConnell Brain Imaging Centre, Montréal Neurological Institute and Hospital, McGill University, Montréal, QC, Canada
| | - Alexandra John
- Otto Hahn Research Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Institute of Neuroscience and Medicine (INM-7: Brain and Behavior), Research Center Jülich, Jülich, Germany
| | - Lena Dorfschmidt
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - Şeyma Bayrak
- Otto Hahn Research Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Department of Cognitive Neurology, University Hospital Leipzig and Faculty of Medicine, University of Leipzig, Leipzig, Germany
- Institute of Neuroscience and Medicine (INM-7: Brain and Behavior), Research Center Jülich, Jülich, Germany
| | | | - Simon B Eickhoff
- Institute of Neuroscience and Medicine (INM-7: Brain and Behavior), Research Center Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorfpital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Boris C Bernhardt
- McConnell Brain Imaging Centre, Montréal Neurological Institute and Hospital, McGill University, Montréal, QC, Canada
| | - Sofie L Valk
- Otto Hahn Research Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
- Institute of Neuroscience and Medicine (INM-7: Brain and Behavior), Research Center Jülich, Jülich, Germany.
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorfpital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
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11
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Canlı B, Savaş M, Beğen SK. Micro- and Macrostructural Language Features in Vertebrobasilar or Carotid System Stroke Without Diagnosis of Aphasia. AMERICAN JOURNAL OF SPEECH-LANGUAGE PATHOLOGY 2024; 33:3040-3050. [PMID: 39374502 DOI: 10.1044/2024_ajslp-24-00201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/09/2024]
Abstract
PURPOSE This study aimed to investigate the macro- and microstructural features of language in patients with ischemic stroke without aphasia. METHOD Participants were grouped according to arterial system damage and given the Aphasia Language Assessment Test (ADD) to detect aphasia. A narrative sample was obtained and analyzed for macrostructural and microstructural features of the language. The study sample consisted of 31 participants with ischemic stroke (15 vertebrobasilar system [VBS] involvement and 16 carotid system [CS] involvement) and 31 healthy participants, totaling 62 individuals. RESULTS The healthy control group scored higher than the stroke group on the microstructural feature type-token ratio and mean length of utterance in the narrative analysis and on the auditory comprehension, repetition, naming, grammar, speech act, and writing subtests in ADD. Effort behavior, errors, edits, repetitions, and pauses among microstructural features and uncertainty, filler expression, and anomia among macrostructural features were significantly higher in the vertebrobasilar and CS groups than in the healthy control group. The total ADD score and speech fluency and reading subtest scores were significantly higher in individuals with VBS damage than in individuals with CS lesions (p < .05). CONCLUSIONS Language components may be impaired differently in patients with carotid and vertebrobasilar lesions. Speech and language disorders in individuals who have experienced cerebrovascular accidents should be evaluated in the subacute and chronic phases, and the therapeutic needs of patients with ischemic stroke should be determined, regardless of the presence of a clinical aphasia diagnosis.
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Affiliation(s)
| | - Merve Savaş
- Department of Language and Speech Therapy, Faculty of Health Sciences, Istanbul Atlas University, Turkey
| | - Senanur Kahraman Beğen
- Department of Language and Speech Therapy, Faculty of Health Sciences, Istanbul Atlas University, Turkey
- Department of Speech and Language Therapy, Graduate School of Health Sciences, Istanbul Medipol University, Turkey
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12
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Dong HM, Zhang XH, Labache L, Zhang S, Ooi LQR, Yeo BTT, Margulies DS, Holmes AJ, Zuo XN. Ventral attention network connectivity is linked to cortical maturation and cognitive ability in childhood. Nat Neurosci 2024; 27:2009-2020. [PMID: 39179884 DOI: 10.1038/s41593-024-01736-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 07/18/2024] [Indexed: 08/26/2024]
Abstract
The human brain experiences functional changes through childhood and adolescence, shifting from an organizational framework anchored within sensorimotor and visual regions into one that is balanced through interactions with later-maturing aspects of association cortex. Here, we link this profile of functional reorganization to the development of ventral attention network connectivity across independent datasets. We demonstrate that maturational changes in cortical organization link preferentially to within-network connectivity and heightened degree centrality in the ventral attention network, whereas connectivity within network-linked vertices predicts cognitive ability. This connectivity is associated closely with maturational refinement of cortical organization. Children with low ventral attention network connectivity exhibit adolescent-like topographical profiles, suggesting that attentional systems may be relevant in understanding how brain functions are refined across development. These data suggest a role for attention networks in supporting age-dependent shifts in cortical organization and cognition across childhood and adolescence.
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Affiliation(s)
- Hao-Ming Dong
- Department of Psychology, Yale University, New Haven, CT, USA.
| | - Xi-Han Zhang
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Loïc Labache
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Shaoshi Zhang
- Centre for Sleep and Cognition and Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, Singapore, National University of Singapore, Singapore, Singapore
| | - Leon Qi Rong Ooi
- Centre for Sleep and Cognition and Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, Singapore, National University of Singapore, Singapore, Singapore
| | - B T Thomas Yeo
- Centre for Sleep and Cognition and Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, Singapore, National University of Singapore, Singapore, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
- N.1 Institute for Health and Institute for Digital Medicine, National University of Singapore, Singapore, Singapore
| | - Daniel S Margulies
- Centre National de la Recherche Scientifique, Frontlab, Institut du Cerveau et de la Moelle Epinière, Paris, France
| | - Avram J Holmes
- Department of Psychiatry, Brain Health Institute, Rutgers University, Piscataway, NJ, USA.
| | - Xi-Nian Zuo
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
- National Basic Science Data Center, Beijing, China.
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
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13
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Amelink JS, Postema MC, Kong XZ, Schijven D, Carrión-Castillo A, Soheili-Nezhad S, Sha Z, Molz B, Joliot M, Fisher SE, Francks C. Imaging genetics of language network functional connectivity reveals links with language-related abilities, dyslexia and handedness. Commun Biol 2024; 7:1209. [PMID: 39342056 PMCID: PMC11438961 DOI: 10.1038/s42003-024-06890-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 09/12/2024] [Indexed: 10/01/2024] Open
Abstract
Language is supported by a distributed network of brain regions with a particular contribution from the left hemisphere. A multi-level understanding of this network requires studying its genetic architecture. We used resting-state imaging data from 29,681 participants (UK Biobank) to measure connectivity between 18 left-hemisphere regions involved in multimodal sentence-level processing, as well as their right-hemisphere homotopes, and interhemispheric connections. Multivariate genome-wide association analysis of this total network, based on genetic variants with population frequencies >1%, identified 14 genomic loci, of which three were also associated with asymmetry of intrahemispheric connectivity. Polygenic dispositions to lower language-related abilities, dyslexia and left-handedness were associated with generally reduced leftward asymmetry of functional connectivity. Exome-wide association analysis based on rare, protein-altering variants (frequencies <1%) suggested 7 additional genes. These findings shed new light on genetic contributions to language network organization and related behavioural traits.
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Affiliation(s)
- Jitse S Amelink
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Merel C Postema
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Xiang-Zhen Kong
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Department of Psychology and Behavioural Sciences, Zhejiang University, Hangzhou, China
- Department of Psychiatry of Sir Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Dick Schijven
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Amaia Carrión-Castillo
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Basque Center on Cognition, Brain and Language (BCBL), Donostia-San Sebastián, Spain
- Ikerbasque, Basque Foundation for Science, Bilbao, Spain
| | - Sourena Soheili-Nezhad
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Zhiqiang Sha
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Barbara Molz
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Marc Joliot
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Commissariat à L'énergie Atomique et aux Énergies Alternatives, CNRS, Université de Bordeaux, Bordeaux, France
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Clyde Francks
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands.
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14
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Abbas S, Alam A, Abbas M, Abbas A, Ali J, Schilthuizen M, Romano D, Zhao CR. Lateralised courtship behaviour and its impact on mating success in Ostrinia furnacalis (Lepidoptera: Crambidae). BULLETIN OF ENTOMOLOGICAL RESEARCH 2024; 114:374-382. [PMID: 38639207 DOI: 10.1017/s0007485324000178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/20/2024]
Abstract
Lateralisation is a well-established phenomenon observed in an increasing number of insect species. This study aims to obtain basic details on lateralisation in courtship and mating behaviour in Ostrinia furnacalis, the Asian corn borer. We conducted laboratory investigations to observe lateralisation in courtship and mating behaviours in adult O. furnacalis. Our goal was also to detect lateralised mating behaviour variations during sexual interactions and to elucidate how these variances might influence the mating success of males. Our findings reveal two distinct lateralised traits: male approaches from the right or left side of the female and the direction of male turning displays. Specifically, males approaching females from their right side predominantly exhibited left-biased 180° turning displays, while males approaching females from the left-side primarily displayed right-biased 180° turning displays. Notably, left-biased males, executing a 180° turn for end-to-end genital contact, initiated copulation with fewer attempts and began copulation earlier than their right-biased approaches with left-biased 180° turning displays. Furthermore, mating success was higher when males subsequently approached the right side of females during sexual encounters. Left-biased 180° turning males exhibited a higher number of successful mating interactions. These observations provide the first report on lateralisation in the reproductive behaviour of O. furnacalis under controlled laboratory conditions and hold promise for establishing reliable benchmarks for assessing and monitoring the quality of mass-produced individuals in pest control efforts.
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Affiliation(s)
- Sohail Abbas
- College of Plant Protection, Jilin Agricultural University, Changchun, Jilin, 130118 PR China
| | - Aleena Alam
- College of Plant Protection, Jilin Agricultural University, Changchun, Jilin, 130118 PR China
| | - Muneer Abbas
- Arid Zone Research Institute, Bhakkar, Punjab 30004 Pakistan
| | - Arzlan Abbas
- College of Plant Protection, Jilin Agricultural University, Changchun, Jilin, 130118 PR China
| | - Jamin Ali
- College of Plant Protection, Jilin Agricultural University, Changchun, Jilin, 130118 PR China
| | - Menno Schilthuizen
- Naturalis Biodiversity Center, Darwinweg 2, 2333CR Leiden, The Netherlands
- Institute for Biology Leiden, Leiden University, Sylviusweg 72, 2333BE Leiden, The Netherlands
| | - Donato Romano
- The BioRobotics Institute & Department of Excellence in Robotics and AI, Sant'Anna School of Advanced Studies, 56127 Pisa, Italy
| | - Chen Ri Zhao
- College of Plant Protection, Jilin Agricultural University, Changchun, Jilin, 130118 PR China
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15
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Schijven D, Soheili-Nezhad S, Fisher SE, Francks C. Exome-wide analysis implicates rare protein-altering variants in human handedness. Nat Commun 2024; 15:2632. [PMID: 38565598 PMCID: PMC10987538 DOI: 10.1038/s41467-024-46277-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 02/20/2024] [Indexed: 04/04/2024] Open
Abstract
Handedness is a manifestation of brain hemispheric specialization. Left-handedness occurs at increased rates in neurodevelopmental disorders. Genome-wide association studies have identified common genetic effects on handedness or brain asymmetry, which mostly involve variants outside protein-coding regions and may affect gene expression. Implicated genes include several that encode tubulins (microtubule components) or microtubule-associated proteins. Here we examine whether left-handedness is also influenced by rare coding variants (frequencies ≤ 1%), using exome data from 38,043 left-handed and 313,271 right-handed individuals from the UK Biobank. The beta-tubulin gene TUBB4B shows exome-wide significant association, with a rate of rare coding variants 2.7 times higher in left-handers than right-handers. The TUBB4B variants are mostly heterozygous missense changes, but include two frameshifts found only in left-handers. Other TUBB4B variants have been linked to sensorineural and/or ciliopathic disorders, but not the variants found here. Among genes previously implicated in autism or schizophrenia by exome screening, DSCAM and FOXP1 show evidence for rare coding variant association with left-handedness. The exome-wide heritability of left-handedness due to rare coding variants was 0.91%. This study reveals a role for rare, protein-altering variants in left-handedness, providing further evidence for the involvement of microtubules and disorder-relevant genes.
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Affiliation(s)
- Dick Schijven
- Language & Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Sourena Soheili-Nezhad
- Language & Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Simon E Fisher
- Language & Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Clyde Francks
- Language & Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands.
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16
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Tomasi D, Volkow ND. Associations between handedness and brain functional connectivity patterns in children. Nat Commun 2024; 15:2355. [PMID: 38491089 PMCID: PMC10943124 DOI: 10.1038/s41467-024-46690-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 03/07/2024] [Indexed: 03/18/2024] Open
Abstract
Handedness develops early in life, but the structural and functional brain connectivity patterns associated with it remains unknown. Here we investigate associations between handedness and the asymmetry of brain connectivity in 9- to 10-years old children from the Adolescent Brain Cognitive Development (ABCD) study. Compared to right-handers, left-handers had increased global functional connectivity density in the left-hand motor area and decreased it in the right-hand motor area. A connectivity-based index of handedness provided a sharper differentiation between right- and left-handers. The laterality of hand-motor connectivity varied as a function of handedness in unimodal sensorimotor cortices, heteromodal areas, and cerebellum (P < 0.001) and reproduced across all regions of interest in Discovery and Replication subsamples. Here we show a strong association between handedness and the laterality of the functional connectivity patterns in the absence of differences in structural connectivity, brain morphometrics, and cortical myelin between left, right, and mixed handed children.
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Affiliation(s)
- Dardo Tomasi
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, 20892, USA.
| | - Nora D Volkow
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, 20892, USA
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17
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Liu Y, Islam J, Radford K, Tkachman O, Gick B. Tonguedness in speech: Lateral bias in lingual bracing. JASA EXPRESS LETTERS 2024; 4:025203. [PMID: 38341684 PMCID: PMC10848656 DOI: 10.1121/10.0024756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 01/18/2024] [Indexed: 02/13/2024]
Abstract
This study examines the lateral biases in tongue movements during speech production. It builds on previous research on asymmetry in various aspects of human biology and behavior, focusing on the tongue's asymmetric behavior during speech. The findings reveal that speakers have a pronounced preference toward one side of the tongue during lateral releases with a majority displaying the left-side bias. This lateral bias in tongue speech movements is referred to as tonguedness. This research contributes to our understanding of the articulatory mechanisms involved in tongue movements and underscores the importance of considering lateral biases in speech production research.
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Affiliation(s)
- Yadong Liu
- Department of Linguistics, University of British Columbia, Vancouver, British Columbia, V6T 1Z4, Canada
| | - Jahurul Islam
- Department of Linguistics, University of British Columbia, Vancouver, British Columbia, V6T 1Z4, Canada
| | - Kate Radford
- California Institute of Technology, Pasadena, California 91125, USA
| | - Oksana Tkachman
- Department of Linguistics, University of British Columbia, Vancouver, British Columbia, V6T 1Z4, Canada
| | - Bryan Gick
- Department of Linguistics, University of British Columbia, Vancouver, British Columbia, V6T 1Z4, Canada
- Haskins Laboratories, New Haven, Connecticut 06511, , , , ,
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18
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Peterson M, Braga RM, Floris DL, Nielsen JA. Evidence for a Compensatory Relationship between Left- and Right-Lateralized Brain Networks. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.08.570817. [PMID: 38106130 PMCID: PMC10723397 DOI: 10.1101/2023.12.08.570817] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
The two hemispheres of the human brain are functionally asymmetric. At the network level, the language network exhibits left-hemisphere lateralization. While this asymmetry is widely replicated, the extent to which other functional networks demonstrate lateralization remains a subject of Investigation. Additionally, it is unknown how the lateralization of one functional network may affect the lateralization of other networks within individuals. We quantified lateralization for each of 17 networks by computing the relative surface area on the left and right cerebral hemispheres. After examining the ecological, convergent, and external validity and test-retest reliability of this surface area-based measure of lateralization, we addressed two hypotheses across multiple datasets (Human Connectome Project = 553, Human Connectome Project-Development = 343, Natural Scenes Dataset = 8). First, we hypothesized that networks associated with language, visuospatial attention, and executive control would show the greatest lateralization. Second, we hypothesized that relationships between lateralized networks would follow a dependent relationship such that greater left-lateralization of a network would be associated with greater right-lateralization of a different network within individuals, and that this pattern would be systematic across individuals. A language network was among the three networks identified as being significantly left-lateralized, and attention and executive control networks were among the five networks identified as being significantly right-lateralized. Next, correlation matrices, an exploratory factor analysis, and confirmatory factor analyses were used to test the second hypothesis and examine the organization of lateralized networks. We found general support for a dependent relationship between highly left- and right-lateralized networks, meaning that across subjects, greater left lateralization of a given network (such as a language network) was linked to greater right lateralization of another network (such as a ventral attention/salience network) and vice versa. These results further our understanding of brain organization at the macro-scale network level in individuals, carrying specific relevance for neurodevelopmental conditions characterized by disruptions in lateralization such as autism and schizophrenia.
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Affiliation(s)
- Madeline Peterson
- Department of Psychology, Brigham Young University, Provo, UT, 84602, USA
| | - Rodrigo M. Braga
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Dorothea L. Floris
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich, Switzerland
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Jared A. Nielsen
- Department of Psychology, Brigham Young University, Provo, UT, 84602, USA
- Neuroscience Center, Brigham Young University, Provo, UT, 84604, USA
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19
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Roger E, Labache L, Hamlin N, Kruse J, Baciu M, Doucet GE. When Age Tips the Balance: a Dual Mechanism Affecting Hemispheric Specialization for Language. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.04.569978. [PMID: 38106059 PMCID: PMC10723284 DOI: 10.1101/2023.12.04.569978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Aging engenders neuroadaptations, generally reducing specificity and selectivity in functional brain responses. Our investigation delves into the functional specialization of brain hemispheres within language-related networks across adulthood. In a cohort of 728 healthy adults spanning ages 18 to 88, we modeled the trajectories of inter-hemispheric asymmetry concerning the principal functional gradient across 37 homotopic regions of interest (hROIs) of an extensive language network, known as the Language-and-Memory Network. Our findings reveal that over two-thirds of Language-and-Memory Network hROIs undergo asymmetry changes with age, falling into two main clusters. The first cluster evolves from left-sided specialization to right-sided tendencies, while the second cluster transitions from right-sided asymmetry to left-hemisphere dominance. These reversed asymmetry shifts manifest around midlife, occurring after age 50, and are associated with poorer language production performance. Our results provide valuable insights into the influence of functional brain asymmetries on language proficiency and present a dynamic perspective on brain plasticity during the typical aging process.
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Affiliation(s)
- Elise Roger
- Institut Universitaire de Gériatrie de Montréal, Communication and Aging Lab, Montreal, Quebec, Canada
- Faculty of Medicine, University of Montreal, Montreal, Quebec, Canada
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LPNC, 38000 Grenoble, France
| | - Loïc Labache
- Department of Psychology, Yale University, New Haven, CT, 06520, US
| | - Noah Hamlin
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, 68010, US
- Department of Pharmacology and Neuroscience, Creighton University School of Medicine, Omaha, NE, 68178, US
| | - Jordanna Kruse
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, 68010, US
- Department of Pharmacology and Neuroscience, Creighton University School of Medicine, Omaha, NE, 68178, US
| | - Monica Baciu
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LPNC, 38000 Grenoble, France
| | - Gaelle E. Doucet
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, 68010, US
- Department of Pharmacology and Neuroscience, Creighton University School of Medicine, Omaha, NE, 68178, US
- Center for Pediatric Brain Health, Boys Town National Research Hospital, Omaha, NE, 68178, US
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20
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Yang J, Liang L, Wei Y, Liu Y, Li X, Huang J, Zhang Z, Li L, Deng D. Altered cortical and subcortical morphometric features and asymmetries in the subjective cognitive decline and mild cognitive impairment. Front Neurol 2023; 14:1297028. [PMID: 38107635 PMCID: PMC10722314 DOI: 10.3389/fneur.2023.1297028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 11/13/2023] [Indexed: 12/19/2023] Open
Abstract
Introduction This study aimed to evaluate morphological changes in cortical and subcortical regions and their asymmetrical differences in individuals with subjective cognitive decline (SCD) and mild cognitive impairment (MCI). These morphological changes may provide valuable insights into the early diagnosis and treatment of Alzheimer's disease (AD). Methods We conducted structural MRI scans on a cohort comprising 62 SCD patients, 97 MCI patients, and 70 age-, sex-, and years of education-matched healthy controls (HC). Using Freesurfer, we quantified surface area, thickness, the local gyrification index (LGI) of cortical regions, and the volume of subcortical nuclei. Asymmetry measures were also calculated. Additionally, we explored the correlation between morphological changes and clinical variables related to cognitive decline. Results Compared to HC, patients with MCI exhibited predominantly left-sided surface morphological changes in various brain regions, including the transverse temporal gyrus, superior temporal gyrus, insula, and pars opercularis. SCD patients showed relatively minor surface morphological changes, primarily in the insula and pars triangularis. Furthermore, MCI patients demonstrated reduced volumes in the anterior-superior region of the right hypothalamus, the fimbria of the bilateral hippocampus, and the anterior region of the left thalamus. These observed morphological changes were significantly associated with clinical ratings of cognitive decline. Conclusion The findings of this study suggest that cortical and subcortical morphometric changes may contribute to cognitive impairment in MCI, while compensatory mechanisms may be at play in SCD to preserve cognitive function. These insights have the potential to aid in the early diagnosis and treatment of AD.
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Affiliation(s)
- Jin Yang
- School of Medicine, Guangxi University, Nanning, Guangxi, China
| | - Lingyan Liang
- Department of Radiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Science, Nanning, Guangxi, China
| | - Yichen Wei
- Department of Radiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Science, Nanning, Guangxi, China
| | - Ying Liu
- Department of Radiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Science, Nanning, Guangxi, China
| | - Xiaocheng Li
- Department of Radiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Science, Nanning, Guangxi, China
| | - Jiazhu Huang
- Department of Radiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Science, Nanning, Guangxi, China
| | - Zhiguo Zhang
- School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China
- Marshall Laboratory of Biomedical Engineering, Shenzhen University, Shenzhen, Guangdong, China
- Peng Cheng Laboratory, Shenzhen, Guangdong, China
| | - Linling Li
- School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, China
- Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen, China
| | - Demao Deng
- School of Medicine, Guangxi University, Nanning, Guangxi, China
- Department of Radiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Science, Nanning, Guangxi, China
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21
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Hao Z, Zhai X, Peng B, Cheng D, Zhang Y, Pan Y, Dou W. CAMBA framework: Unveiling the brain asymmetry alterations and longitudinal changes after stroke using resting-state EEG. Neuroimage 2023; 282:120405. [PMID: 37820859 DOI: 10.1016/j.neuroimage.2023.120405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 09/19/2023] [Accepted: 10/08/2023] [Indexed: 10/13/2023] Open
Abstract
Hemispheric asymmetry or lateralization is a fundamental principle of brain organization. However, it is poorly understood to what extent the brain asymmetries across different levels of functional organizations are evident in health or altered in brain diseases. Here, we propose a framework that integrates three degrees of brain interactions (isolated nodes, node-node, and edge-edge) into a unified analysis pipeline to capture the sliding window-based asymmetry dynamics at both the node and hemisphere levels. We apply this framework to resting-state EEG in healthy and stroke populations and investigate the stroke-induced abnormal alterations in brain asymmetries and longitudinal asymmetry changes during poststroke rehabilitation. We observe that the mean asymmetry in patients was abnormally enhanced across different frequency bands and levels of brain interactions, with these abnormal patterns strongly associated with the side of the stroke lesion. Compared to healthy controls, patients displayed significant alterations in asymmetry fluctuations, disrupting and reconfiguring the balance of inter-hemispheric integration and segregation. Additionally, analyses reveal that specific abnormal asymmetry metrics in patients tend to move towards those observed in healthy controls after short-term brain-computer interface rehabilitation. Furthermore, preliminary evidence suggests that baseline clinical and asymmetry features can predict poststroke improvements in the Fugl-Meyer assessment of the lower extremity (mean absolute error of about 2). Overall, these findings advance our understanding of hemispheric asymmetry. Our framework offers new insights into the mechanisms underlying brain alterations and recovery after a brain lesion, may help identify prognostic biomarkers, and can be easily extended to different functional modalities.
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Affiliation(s)
- Zexuan Hao
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Xiaoxue Zhai
- Department of Rehabilitation Medicine, School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing 102218, China
| | - Bo Peng
- Department of Rehabilitation Medicine, School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing 102218, China
| | - Dandan Cheng
- Department of Rehabilitation Medicine, School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing 102218, China
| | - Yanlin Zhang
- Department of Rehabilitation Medicine, School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing 102218, China
| | - Yu Pan
- Department of Rehabilitation Medicine, School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing 102218, China.
| | - Weibei Dou
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China.
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22
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Omont-Lescieux S, Menu I, Salvia E, Poirel N, Oppenheim C, Houdé O, Cachia A, Borst G. Lateralization of the cerebral network of inhibition in children before and after cognitive training. Dev Cogn Neurosci 2023; 63:101293. [PMID: 37683326 PMCID: PMC10498008 DOI: 10.1016/j.dcn.2023.101293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 08/31/2023] [Accepted: 09/01/2023] [Indexed: 09/10/2023] Open
Abstract
Inhibitory control (IC) plays a critical role in cognitive and socio-emotional development. IC relies on a lateralized cortico-subcortical brain network including the inferior frontal cortex, anterior parts of insula, anterior cingulate cortex, caudate nucleus and putamen. Brain asymmetries play a critical role for IC efficiency. In parallel to age-related changes, IC can be improved following training. The aim of this study was to (1) assess the lateralization of IC network in children (N = 60, 9-10 y.o.) and (2) examine possible changes in neural asymmetry of this network from anatomical (structural MRI) and functional (resting-state fMRI) levels after 5-week computerized IC vs. active control (AC) training. We observed that IC training, but not AC training, led to a leftward lateralization of the putamen anatomy, similarly to what is observed in adults, supporting that training could accelerate the maturation of this structure.
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Affiliation(s)
- Sixtine Omont-Lescieux
- Université Paris Cité, LaPsyDÉ, CNRS, F-75005, Paris, France; Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Imaging biomarkers for brain development and disorders, 75014 Paris, France; GHU-Paris Psychiatrie et Neurosciences, Hôpital Sainte Anne, F-75014 Paris, France
| | - Iris Menu
- Université Paris Cité, LaPsyDÉ, CNRS, F-75005, Paris, France; Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Imaging biomarkers for brain development and disorders, 75014 Paris, France; GHU-Paris Psychiatrie et Neurosciences, Hôpital Sainte Anne, F-75014 Paris, France
| | - Emilie Salvia
- Université Paris Cité, LaPsyDÉ, CNRS, F-75005, Paris, France; GHU-Paris Psychiatrie et Neurosciences, Hôpital Sainte Anne, F-75014 Paris, France
| | - Nicolas Poirel
- Université Paris Cité, LaPsyDÉ, CNRS, F-75005, Paris, France; GIP Cyceron, Caen, France
| | - Catherine Oppenheim
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Imaging biomarkers for brain development and disorders, 75014 Paris, France; GHU-Paris Psychiatrie et Neurosciences, Hôpital Sainte Anne, F-75014 Paris, France
| | - Olivier Houdé
- Université Paris Cité, LaPsyDÉ, CNRS, F-75005, Paris, France; GHU-Paris Psychiatrie et Neurosciences, Hôpital Sainte Anne, F-75014 Paris, France; Institut Universitaire de France, Paris, France
| | - Arnaud Cachia
- Université Paris Cité, LaPsyDÉ, CNRS, F-75005, Paris, France; Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Imaging biomarkers for brain development and disorders, 75014 Paris, France; GHU-Paris Psychiatrie et Neurosciences, Hôpital Sainte Anne, F-75014 Paris, France
| | - Grégoire Borst
- Université Paris Cité, LaPsyDÉ, CNRS, F-75005, Paris, France; GHU-Paris Psychiatrie et Neurosciences, Hôpital Sainte Anne, F-75014 Paris, France; Institut Universitaire de France, Paris, France.
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