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Qiu C, Zhao C, Hu G, Zhang Y, Zhu Y, Wu X, Wang L. Brain structural plasticity in visual and sensorimotor areas of airline pilots: A voxel-based morphometric study. Behav Brain Res 2021; 411:113377. [PMID: 34023308 DOI: 10.1016/j.bbr.2021.113377] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 05/10/2021] [Accepted: 05/18/2021] [Indexed: 11/20/2022]
Abstract
BACKGROUND AND PURPOSE Airline pilot is a highly specialized profession that requires to response quickly and accurately in the presence of a wide variety of visual information. Although functional imaging studies have employed virtual simulation to identify brain areas that underlie various flying-related tasks, little is known about the specific patterns of structural plasticity in the airline pilot's brain. MATERIALS AND METHODS In this study, we examined differences of gray matter and white matter volumes between 42 airline pilots and 39 non-pilots by using voxel-based morphometry, and further assessed the association between magnitude of structural alterations and flight time in the pilots. RESULTS We found significantly increased white matter volume in the cuneus area in the pilot group compared to the non-pilot group (p < 0.05, FWE corrected). Using a relaxed threshold, it was also observed that the pilots had increased gray matter volume in the lingual gyrus, inferior frontal gyrus, supramarginal gyrus, cuneus, and postcentral gyrus, and increased white matter volume in the postcentral area (p < 0.001, uncorrected). Moreover, the pilots' flight time was positively correlated with gray matter volume in the postcentral gyrus and white matter volume in the cuneus area (p < 0.001, uncorrected). CONCLUSIONS The morphological changes in specific visual and sensorimotor areas may provide airline pilots with neural efficiency in the visuo-motor processing related to flight.
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Affiliation(s)
- Chuanya Qiu
- Department of Radiology, Beijing Chaoyang Hospital of the Capital Medical University, Beijing, 100020, China; Department of Radiology, Civil Aviation General Hospital, Beijing, 100123, China
| | - Chunyu Zhao
- Institute of Military Cognition and Brain Sciences, Academy of Military Medical Sciences, Beijing, 100850, China
| | - Gang Hu
- Department of Radiology, Seventh Medical Center of the Chinese PLA General Hospital, Beijing, 100700, China
| | - Yong Zhang
- Department of Radiology, Civil Aviation General Hospital, Beijing, 100123, China
| | - Yuyang Zhu
- Institute of Military Cognition and Brain Sciences, Academy of Military Medical Sciences, Beijing, 100850, China
| | - Xinhuai Wu
- Department of Radiology, Seventh Medical Center of the Chinese PLA General Hospital, Beijing, 100700, China.
| | - Lubin Wang
- Institute of Military Cognition and Brain Sciences, Academy of Military Medical Sciences, Beijing, 100850, China.
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Miró-Padilla A, Adrián-Ventura J, Costumero V, Palomar-García MÁ, Villar-Rodríguez E, Marin-Marin L, Aguirre N, Bueichekú E. The adhesio interthalamica as a neuroanatomical marker of structural differences in healthy adult population. Brain Struct Funct 2021; 226:1871-8. [PMID: 34014400 DOI: 10.1007/s00429-021-02297-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 05/08/2021] [Indexed: 10/21/2022]
Abstract
The adhesio interthalamica (AI) is a small midline brain structure that connects the left and right thalamus. According to in vivo data, between 2.3 and 22.3% of the general population lack the AI, and the question of whether this absence is more prevalent in males than in females is a matter of debate. Despite the existence of these demographic figures, it remains unclear how this distinctive feature affects healthy people, or what specific anatomic profile is related to the presence or absence of the AI. The aim of this study was to investigate whole-brain gray matter (GM) volumetric differences depending on the presence or absence of the AI. A total of 240 healthy adult volunteers completed one MRI scanning session. After the AI assessment, the data from 110 participants were included in the final sample, of which 12.9% of the participants (n = 31) presented complete AI absence vs. 32.9% of participants (n = 79) who presented complete AI presence. Then, whole-brain group comparison analysis revealed that the absent AI brain, compared to the present AI brain, was associated with lower GM volume in the premotor cortex, inferior frontal gyrus, and anterior temporal cortex. Interestingly, neuroscience research has linked emotional and cognitive control brain processing to the latter two regions. The importance of these findings lies in providing a neuroanatomical profile for the absent AI brain in healthy human adults.
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Li L, Yu H, Liu Y, Meng YJ, Li XJ, Zhang C, Liang S, Li ML, Guo W, QiangWang, Deng W, Ma X, Coid J, Li T. Lower regional grey matter in alcohol use disorders: evidence from a voxel-based meta-analysis. BMC Psychiatry 2021; 21:247. [PMID: 33975595 PMCID: PMC8111920 DOI: 10.1186/s12888-021-03244-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 04/28/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Previous research using whole-brain neuroimaging techniques has revealed structural differences of grey matter (GM) in alcohol use disorder (AUD) patients. However, some of the findings diverge from other neuroimaging studies and require further replication. The quantity of relevant research has, thus far, been limited and the association between GM and abstinence duration of AUD patients has not yet been systematically reviewed. METHODS The present research conducted a meta-analysis of voxel-based GM studies in AUD patients published before Jan 2021. The study utilised a whole brain-based d-mapping approach to explore GM changes in AUD patients, and further analysed the relationship between GM deficits, abstinence duration and individual differences. RESULTS The current research included 23 studies with a sample size of 846 AUD patients and 878 controls. The d-mapping approach identified lower GM in brain regions including the right cingulate gyrus, right insula and left middle frontal gyrus in AUD patients compared to controls. Meta-regression analyses found increasing GM atrophy in the right insula associated with the longer mean abstinence duration of the samples in the studies in our analysis. GM atrophy was also found positively correlated with the mean age of the samples in the right insula, and positively correlated with male ratio in the left middle frontal gyrus. CONCLUSIONS GM atrophy was found in the cingulate gyrus and insula in AUD patients. These findings align with published meta-analyses, suggesting they are potential deficits for AUD patients. Abstinence duration, age and gender also affect GM atrophy in AUD patients. This research provides some evidence of the underlying neuroanatomical nature of AUD.
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Affiliation(s)
- Lei Li
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Hua Yu
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Yihao Liu
- grid.8391.30000 0004 1936 8024Department of Psychology, College of Life and Environmental Science, University of Exeter, Exeter, UK
| | - Ya-jing Meng
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Xiao-jing Li
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Chengcheng Zhang
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Sugai Liang
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Ming-li Li
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Wanjun Guo
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - QiangWang
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Wei Deng
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Xiaohong Ma
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Jeremy Coid
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Tao Li
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, People's Republic of China. .,Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China. .,Brain Research Center, West China Hospital of Sichuan University, Chengdu, China.
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Qin Y, Tong X, Li W, Zhang L, Zhang Y, Li X, Yang J, Qin K, Lei D, Gong Q, Zhou D, An D. Divergent Anatomical Correlates and Functional Network Connectivity Patterns in Temporal Lobe Epilepsy with and Without Depression. Brain Topogr 2021; 34:525-536. [PMID: 33973138 DOI: 10.1007/s10548-021-00848-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 05/05/2021] [Indexed: 02/05/2023]
Abstract
Epilepsy and depression were proposed to facilitate each other reciprocally through common neurobiological anomalies, especially the prefrontal-limbic-subcortical abnormalities. Yet neuroimaging patterns of higher-order cognitive networks and neuroanatomical correlates were rarely compared in temporal lobe epilepsy patients with (TLE-D) and without depression (TLE-N). We collected T1-weighted structural and resting-state functional MRI data from 20 TLE-D, 31 TLE-N and 20 healthy controls (HCs) and performed analyses including hippocampal volume (HCV), cortical thickness, gray matter volume (GMV) and whole-brain functional network connectivity (FNC) across three groups. Imaging differences were related to clinical and psychological measurements. TLE-D demonstrated disrupted functional role of subcortical (SUB) and higher-order cognitive networks compared to TLE-N and HCs. In TLE-D, GMV in the right supplementary motor area (SMA) and FNC between the dorsal attention (DAN) and SUB were attenuated compared to TLE-N and HCs, FNC between SUB and the visual network (VIS) decreased compared to HCs. GMV in the right SMA was negatively correlated with depression severity and some symptoms. Combined, explicit emotion regulation may be impaired in TLE-D. Meanwhile, compared to HCs, TLE-N showed smaller HCVs, TLE-D and TLE-N showed smaller GMV in the medial orbital frontal gyrus and right hippocampus and hippocampal gyrus, possibly implying predisposition of epileptic activities to co-morbid depression. Our findings suggest distinct anatomical and FNC patterns in TLE-D and TLE-N. More than prefrontal-limbic-subcortical anomalies, disrupted higher-order cognitive network may contribute to depression in TLE, providing new potential treatment targets for depression and calling attention to relation between cognitive dysfunction and co-morbid depression.
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Affiliation(s)
- Yingjie Qin
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xin Tong
- Department of Neurology, West China Second Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Wei Li
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Le Zhang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yingying Zhang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xiuli Li
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jing Yang
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Kun Qin
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Du Lei
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Qiyong Gong
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - Dong Zhou
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - Dongmei An
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
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Mohamed AZ, Cumming P, Nasrallah FA. White Matter Alterations Are Associated With Cognitive Dysfunction Decades After Moderate-to-Severe Traumatic Brain Injury and/or Posttraumatic Stress Disorder. Biol Psychiatry Cogn Neurosci Neuroimaging 2021; 6:1100-1109. [PMID: 33957321 DOI: 10.1016/j.bpsc.2021.04.014] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 03/31/2021] [Accepted: 04/25/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Possible white matter (WM) alterations following moderate-to-severe traumatic brain injury (TBI) and posttraumatic stress disorder (PTSD) and their relationship to clinical outcome have yet to be investigated decades after trauma. We utilized structural magnetic resonance imaging and diffusion tensor images to investigate brain volume and WM alterations in Vietnam War veterans with moderate-to-severe TBI and/or PTSD examined 5 decades after trauma. METHODS Data from 160 veterans-history of moderate-to-severe TBI (n = 23), history of TBI+PTSD (n = 36), history of PTSD (n = 53), and control veterans (n = 48)-were obtained from the Department of Defense Alzheimer's Disease Neuroimaging Initiative database. Voxel-based morphometry and tract-based spatial statistics were used to investigate ongoing brain morphometry and WM abnormalities. The fractional anisotropy (FA) and mean diffusivity were then correlated with neuropsychological scores and amyloid deposition in the trauma groups. RESULTS Compared with control subjects, the three trauma groups showed gray matter atrophy, lower FA, and distinctly higher diffusivity in the major WM tracts, including the corpus callosum, external and internal capsules, cingulum, and inferior and superior longitudinal fasciculi. The FA and mean diffusivity correlated with cognitive deficits in the trauma groups. Furthermore, the FA in the cingulum correlated negatively with amyloid deposition in the posterior cingulate cortex of all three trauma groups. CONCLUSIONS Diffusion tensor imaging detected WM abnormalities that correlated with the severity of present cognitive dysfunction and the degree of cortical amyloid deposition decades after moderate-to-severe TBI and/or PTSD. These results may hint that PTSD secondary to TBI may incur late cognitive sequalae and persistence of brain microstructure alterations.
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Affiliation(s)
- Abdalla Z Mohamed
- Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia; Thompson Institute, University of The Sunshine Coast, Birtinya, Queensland, Australia
| | - Paul Cumming
- School of Psychology and Counselling and IHBI, Queensland University of Technology, Brisbane, Queensland, Australia; Department of Nuclear Medicine, University of Bern, Inselspital, Bern, Switzerland
| | - Fatima A Nasrallah
- Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia.
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156
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Rezaeyan A, Asadi S, Kamrava SK, Khoei S, Zare-Sadeghi A. Reorganizing brain structure through olfactory training in post-traumatic smell impairment: An MRI study. J Neuroradiol 2021; 49:333-342. [PMID: 33957160 DOI: 10.1016/j.neurad.2021.04.035] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 04/01/2021] [Accepted: 04/24/2021] [Indexed: 12/13/2022]
Abstract
PURPOSE AND BACKGROUND Post-traumatic olfactory dysfunction (PTOD), mostly caused by head injury, is thought to be associated with changes in the structure and function of the brain olfactory processing areas. Training and repeated exposure to odorants lead to enhanced olfactory capability. This study investigated the effects of a 16-weeks olfactory training (OT) on olfactory function and brain structure. METHODS Twenty-five patients with PTOD were randomly divided in three groups: (1) 9 control patients who did not receive any training, (2) 9 patients underwent classical OT by 4 fixed odors, and (3) 7 patients underwent modified OT coming across 4 sets of 4 different odors sequentially. Before and after the training period, all patients performed olfactory function tests and structural magnetic resonance imaging (MRI). Sniffin' Sticks test was used to assess olfactory function. MRI data were analyzed using voxel-based morphometry and surface-based morphometry. RESULTS Both trained groups showed a considerable recovery of olfactory function, especially in odor identification. MRI data analysis revealed that the classical OT leads to increases in cortical thickness/density of several brain regions, including the right superior and middle frontal gyrus, and bilateral cerebellums. In addition, the modified OT yielded a lower extent of cortical measures in the right orbital frontal cortex and right insular. Following modified OT, a positive correlation was observed between the odor identification and the right orbital frontal cortex. CONCLUSION Both olfactory training methods can improve olfactory function and that the improvement is associated with changes in the structure of olfactory processing areas of the brain.
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Affiliation(s)
- Abolhasan Rezaeyan
- Department of Medical Physics, School of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Somayeh Asadi
- Department of Medical Physics, School of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - S Kamran Kamrava
- ENT and Head & Neck Research Center and Department, The Five Senses Institute, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Samideh Khoei
- Department of Medical Physics, School of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran; Finetech in Medicine Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Arash Zare-Sadeghi
- Department of Medical Physics, School of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran; Finetech in Medicine Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran.
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157
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Caetano I, Amorim L, Soares JM, Ferreira S, Coelho A, Reis J, Santos NC, Moreira PS, Marques P, Magalhães R, Esteves M, Picó-Pérez M, Sousa N. Amygdala size varies with stress perception. Neurobiol Stress 2021; 14:100334. [PMID: 34013000 PMCID: PMC8114169 DOI: 10.1016/j.ynstr.2021.100334] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 04/26/2021] [Accepted: 04/27/2021] [Indexed: 12/28/2022] Open
Abstract
Stress is inevitably linked to life. It has many and complex facets. Notably, perception of stressful stimuli is an important factor when mounting stress responses and measuring its impact. Indeed, moved by the increasing number of stress-triggered pathologies, several groups drew on advanced neuroimaging techniques to explore stress effects on the brain. From that, several regions and circuits have been linked to stress, and a comprehensive integration of the distinct findings applied to common individuals is being pursued, but with conflicting results. Herein, we performed a volumetric regression analysis using participants’ perceived stress as a variable of interest. Data shows that increased levels of perceived stress positively associate with the right amygdala and anterior hippocampal volumes. Discrepant stress effects on morphology are reported in the literature. Stress definition and analysis software are the main causes of conflicting findings. Psychological measures and multi-technique analysis are highly recommended. We found that perceived stress positively associates with right amygdala volumes.
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Key Words
- Amygdala
- FSL, FMRIB Software Library
- FWE-R, Family-wise error rate
- FreeSurfer
- GM, Gray matter
- Healthy subjects
- M, Mean
- PSS10, 10-items Perceived Stress Scale
- Perceived stress
- ROI, Region-of-interest
- SD, Standard deviation
- TFCE, Threshold-free cluster enhancement
- VBM, Voxel-based morphometry
- Voxel-based morphometry
- WM, White matter
- eTIV, Estimated total intracranial volume
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Affiliation(s)
- Inês Caetano
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, 4710-057, Braga/Guimarães, Portugal.,Clinical Academic Center - Braga, Braga, Portugal, 4710-057, Braga/Guimarães, Portugal
| | - Liliana Amorim
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, 4710-057, Braga/Guimarães, Portugal.,Clinical Academic Center - Braga, Braga, Portugal, 4710-057, Braga/Guimarães, Portugal.,Association P5 Digital Medical Center (ACMP5), 4710-057, Braga, Portugal
| | - José Miguel Soares
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, 4710-057, Braga/Guimarães, Portugal.,Clinical Academic Center - Braga, Braga, Portugal, 4710-057, Braga/Guimarães, Portugal
| | - Sónia Ferreira
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, 4710-057, Braga/Guimarães, Portugal.,Clinical Academic Center - Braga, Braga, Portugal, 4710-057, Braga/Guimarães, Portugal
| | - Ana Coelho
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, 4710-057, Braga/Guimarães, Portugal.,Clinical Academic Center - Braga, Braga, Portugal, 4710-057, Braga/Guimarães, Portugal
| | - Joana Reis
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, 4710-057, Braga/Guimarães, Portugal.,Clinical Academic Center - Braga, Braga, Portugal, 4710-057, Braga/Guimarães, Portugal
| | - Nadine Correia Santos
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, 4710-057, Braga/Guimarães, Portugal.,Clinical Academic Center - Braga, Braga, Portugal, 4710-057, Braga/Guimarães, Portugal
| | - Pedro Silva Moreira
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, 4710-057, Braga/Guimarães, Portugal.,Clinical Academic Center - Braga, Braga, Portugal, 4710-057, Braga/Guimarães, Portugal
| | - Paulo Marques
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, 4710-057, Braga/Guimarães, Portugal.,Clinical Academic Center - Braga, Braga, Portugal, 4710-057, Braga/Guimarães, Portugal
| | - Ricardo Magalhães
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, 4710-057, Braga/Guimarães, Portugal.,Clinical Academic Center - Braga, Braga, Portugal, 4710-057, Braga/Guimarães, Portugal.,NeuroSpin, Institut des Sciences du Vivant Frédéric Joliot, Commisariat à l'Énergie Atomique et aux Énergies Alternatives, 91191, Gif-Sur-Yvette, France.,Université Paris-Saclay, 91191, Gif-Sur-Yvette, France
| | - Madalena Esteves
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, 4710-057, Braga/Guimarães, Portugal.,Clinical Academic Center - Braga, Braga, Portugal, 4710-057, Braga/Guimarães, Portugal
| | - Maria Picó-Pérez
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, 4710-057, Braga/Guimarães, Portugal.,Clinical Academic Center - Braga, Braga, Portugal, 4710-057, Braga/Guimarães, Portugal
| | - Nuno Sousa
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, 4710-057, Braga/Guimarães, Portugal.,Clinical Academic Center - Braga, Braga, Portugal, 4710-057, Braga/Guimarães, Portugal.,Association P5 Digital Medical Center (ACMP5), 4710-057, Braga, Portugal
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Wang C, Zhang Z, Che L, Wu Y, Qian H, Guo X. The gray matter volume in superior frontal gyrus mediates the impact of reflection on emotion in Internet gaming addicts. Psychiatry Res Neuroimaging 2021; 310:111269. [PMID: 33657478 DOI: 10.1016/j.pscychresns.2021.111269] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 11/10/2020] [Accepted: 02/19/2021] [Indexed: 02/03/2023]
Abstract
Internet gaming disorder (IGD) is becoming a prevalent mental health concern around the world. However, the relationship among brain gray matter volume (GMV), emotion induced by decision-making and the level of reflection in IGD participants has not been fully elucidated to date. The current study aimed to explore this issue by combining a sequential decision task and voxel-based morphometry. Twenty-six IGD participants and 28 demographically matched healthy controls were recruited. After collecting Rumination-Reflection questionnaire data and high-resolution T1-weighted MRI data, participants were asked to complete a sequential decision task. The results demonstrated that compared to healthy controls, IGD participants exhibited significantly decreased GMV in the superior frontal gyrus (SFG). Moreover, GMV in the SFG of IGD participants fully mediated the impact of reflection level on the emotion of loss outcome during the sequential decision task. These results indicate that IGD is associated with reduced GMV in the SFG, and this structural change in IGD contributes to a particular relationship between the level of reflection and regret emotion for loss outcome in the sequential decision task.
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Affiliation(s)
- Chenggong Wang
- School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - Zhenyu Zhang
- School of Psychology, Shaanxi Normal University, Xi'an, China
| | - Liping Che
- Business School, University of Shanghai for Science and Technology, Shanghai, China
| | - Yuyan Wu
- School of Physics and Electronic Science, East China Normal University, Shanghai, China; Shanghai Key Laboratory of Magnetic Resonance, Department of Physics, East China Normal University, Shanghai, China
| | - Haoyue Qian
- School of Physics and Electronic Science, East China Normal University, Shanghai, China; Shanghai Key Laboratory of Magnetic Resonance, Department of Physics, East China Normal University, Shanghai, China.
| | - Xiuyan Guo
- School of Psychology and Cognitive Science, East China Normal University, Shanghai, China; Shanghai Key Laboratory of Magnetic Resonance, Department of Physics, East China Normal University, Shanghai, China; National Demonstration Center for Experimental Psychology Education, East China Normal University, Shanghai, China
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159
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Bittencourt AML, Bampi VF, Sommer RC, Schaker V, Juruena MFP, Soder RB, Franco AR, Sanvicente-Vieira B, Grassi-Oliveira R, Ferreira PEMS. Cortical thickness and subcortical volume abnormalities in male crack-cocaine users. Psychiatry Res Neuroimaging 2021; 310:111232. [PMID: 33621927 DOI: 10.1016/j.pscychresns.2020.111232] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Revised: 11/18/2020] [Accepted: 11/20/2020] [Indexed: 02/05/2023]
Abstract
Crack-cocaine offers a higher risk of abuse than intranasal and intravenous use of cocaine. Yet, current treatments remain disappointing and our understanding of the mechanism of crack-cocaine neurotoxicity is still incomplete. Magnetic resonance images studies on brain changes of crack-cocaine addicts show divergent data. The present study investigated gray matter (GM) abnormalities in crack-cocaine dependents (n = 18) compared to healthy controls (n = 17). MRI data was analysed using FreeSurfer and voxel-based morphometry (VBM). FreeSurfer analysis showed that CD had decreased cortical thickness (CT) in the left inferior temporal cortex (lTC), left orbitofrontal cortex (lOFC) and left rostro frontal cortex (lRFC), enlargement in left inferior lateral ventricle, and smaller GM volume in right hippocampus and right ventral diencephalon. VBM analysis showed that CD had significantly decreased GM volume in left Putamen and left nucleus accumbens. Furthermore, we found a negative correlation between duration of crack-cocaine use and lTC CT. These results provide compelling evidence for GM abnormalities in CD and also suggest that duration of crack-cocaine use may be associated with CT alterations.
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Affiliation(s)
- Augusto Martins Lucas Bittencourt
- Developmental Cognitive Neuroscience Lab (DCNL), Graduate Program in Medicine and Health Sciences - Neuroscience, Pontifical Catholic University of Rio Grande do Sul (PUCRS), 90619900, Porto Alegre, Brazil.
| | - Vinicius Faccin Bampi
- SW - Adult Community Mental Health Service, Hertfordshire Partnership University NHS Foundation Trust, St, AL3 5TQ St Albans, United Kingdom
| | - Rafael Canani Sommer
- School of Medicine, Pontifical Catholic University of Rio Grande do Sul, 90619900, Porto Alegre, Brasil
| | - Vanessa Schaker
- Federal University of Rio Grande do Sul, 90040-060, Porto Alegre, Brazil
| | | | - Ricardo Bernardi Soder
- Brain Institute of Rio Grande do Sul, Pontifical Catholic University of Rio Grande do Sul, 90619900, Porto Alegre, Brasil
| | - Alexandre Rosa Franco
- Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute for Psychiatric Research, Orangeberg, NY, 10962, USA; Center for the Developing Brain, Child Mind Institute, New York, NY, 10022, USA; Department of Psychiatry, NYU Grossman School of Medicine, New York, NY, 10016, USA
| | - Breno Sanvicente-Vieira
- Lab of Individual Differences and Psychopathology (LaDIP), Psychology Department - Pontifical Catholic University of Rio de Janeiro (PUC-Rio), 22453900, Rio de Janeiro, Brazil
| | - Rodrigo Grassi-Oliveira
- Developmental Cognitive Neuroscience Lab (DCNL), Graduate Program in Medicine and Health Sciences - Neuroscience, Pontifical Catholic University of Rio Grande do Sul (PUCRS), 90619900, Porto Alegre, Brazil; Brain Institute of Rio Grande do Sul, Pontifical Catholic University of Rio Grande do Sul, 90619900, Porto Alegre, Brasil
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160
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Nellessen N, Onur OA, Richter N, Jacobs HIL, Dillen KNH, Reutern BV, Langen KJ, Fink GR, Kukolja J. Differential neural structures, intrinsic functional connectivity, and episodic memory in subjective cognitive decline and healthy controls. Neurobiol Aging 2021; 105:159-173. [PMID: 34090179 DOI: 10.1016/j.neurobiolaging.2021.04.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 04/05/2021] [Accepted: 04/20/2021] [Indexed: 11/15/2022]
Abstract
The neural correlates of subjective cognitive decline (SCD; i.e., without objectifiable deficit) remain to be elucidated. Possible causes of SCD include early neurodegeneration related to Alzheimer's disease or functional and structural changes related to sub-clinical depression. We investigated the relationship between episodic memory performance or memory complaints and structural or functional magnetic resonance imaging (MRI) measures in participants with SCD (n=18) but without psychiatric disorders and healthy controls (n=31). In SCD, memory complaints were not associated with memory performance but with sub-clinical depression and executive functions. SCD-associated memory complaints correlated with higher amygdala and parahippocampal gyrus (specifically subiculum) gray matter density. In controls, but not in SCD, mesiotemporal gray matter density and superior frontal gyrus functional connectivity predicted memory performance. In contrast, in SCD, only a trend toward a correlation between memory performance and gray matter density in the parietooccipital lobes was observed. In our memory-clinic sample of SCD, we did not observe incipient neurodegeneration (limited to structural and functional MRI) but rather sub-clinical depression underlying subjective cognitive complaints.
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Affiliation(s)
- Nils Nellessen
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany; Department of Neurology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany; Department of Neurology and Clinical Neurophysiology, Helios University Hospital Wuppertal, 42283 Wuppertal, Germany; Faculty of Health, Witten/Herdecke University, Witten, Germany
| | - Oezguer A Onur
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany; Department of Neurology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.
| | - Nils Richter
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany; Department of Neurology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Heidi I L Jacobs
- Faculty of Health, Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg; Maastricht University, Maastricht, Netherlands; Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Kim N H Dillen
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany
| | - Boris von Reutern
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany; Department of Neurology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Karl J Langen
- Institute of Neuroscience and Medicine (INM-4), Research Center Jülich, Jülich, Germany; Department of Nuclear Medicine, University Hospital RWTH Aachen, Aachen, Germany
| | - Gereon R Fink
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany; Department of Neurology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Juraj Kukolja
- Department of Neurology and Clinical Neurophysiology, Helios University Hospital Wuppertal, 42283 Wuppertal, Germany; Faculty of Health, Witten/Herdecke University, Witten, Germany
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161
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Ji X, Wang H, Zhu M, He Y, Zhang H, Chen X, Gao W, Fu Y. Brainstem atrophy in the early stage of Alzheimer's disease: a voxel-based morphometry study. Brain Imaging Behav 2021; 15:49-59. [PMID: 31898091 DOI: 10.1007/s11682-019-00231-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Postmortem studies on patients with Alzheimer's disease (AD) have confirmed that the dorsal raphe nucleus (DRN) in the brainstem is the first brain structure affected in the earliest stage of AD. The present study examined the brainstem in the early stage of AD using magnetic resonance (MR) imaging. T1-weighted MR images of the brains of 81 subjects were obtained from the publicly available Open Access Series of Imaging Studies (OASIS) database, including 27 normal control (NC) subjects, 27 patients with very mild AD (AD-VM) and 27 patients with mild AD (AD-M). The brainstem was interactively segmented from the MR images using ITK-SNAP. The present voxel-based morphometry (VBM) study was designed to investigate the brainstem differences between the AD-VM/AD-M groups and the NC group. The results showed bilateral loss in the pons and the left part of the midbrain in the AD-M group compared to the NC group. The AD-M group showed greater loss in the left midbrain than the AD-VM group (PFWEcorrected < 0.05). The results revealed that brainstem atrophy occurs in the early stages of AD (Clinical Dementia Rating = 0.5 and 1.0). Most of these findings were also investigated in a multicenter dataset. This is the first VBM study that provides evidence of brainstem alterations in the early stage of AD.
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Affiliation(s)
- Xiaoxi Ji
- School of Life Science and Technology, Harbin Institute of Technology, Building 2E-417, 2 Yikuang Street, Nangang District, Harbin, Heilongjiang Province, China.,Guangzhou Medical University, Guangzhou, China.,Department of Neurosurgery, Third People's Hospital of Hainan Province, 146 Jiefang Road, Sanya, Hainan Province, China
| | - Hui Wang
- Department of Neurosurgery, Third People's Hospital of Hainan Province, 146 Jiefang Road, Sanya, Hainan Province, China
| | - Minwei Zhu
- Department of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yingjie He
- Guangzhou Medical University, Guangzhou, China.,Department of Neurosurgery, Third People's Hospital of Hainan Province, 146 Jiefang Road, Sanya, Hainan Province, China
| | - Hong Zhang
- Guangzhou Medical University, Guangzhou, China.,Department of Neurosurgery, Third People's Hospital of Hainan Province, 146 Jiefang Road, Sanya, Hainan Province, China
| | - Xiaoguang Chen
- Department of Neurosurgery, Third People's Hospital of Hainan Province, 146 Jiefang Road, Sanya, Hainan Province, China.
| | - Wenpeng Gao
- School of Life Science and Technology, Harbin Institute of Technology, Building 2E-417, 2 Yikuang Street, Nangang District, Harbin, Heilongjiang Province, China.
| | - Yili Fu
- School of Life Science and Technology, Harbin Institute of Technology, Building 2E-417, 2 Yikuang Street, Nangang District, Harbin, Heilongjiang Province, China
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162
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Xu T, Chen Z, Sirois FM, Zhang R, Yang Y, Feng T. Neuroanatomical substrates accounting for the effect of present hedonistic time perspective on risk preference: the mediating role of right posterior parietal cortex. Brain Imaging Behav 2021; 15:244-254. [PMID: 32060771 DOI: 10.1007/s11682-019-00251-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
The preference for taking risk troubles people across multiple domains including health, economics, and social well-being. Prior research has demonstrated that risk preference can be influenced by time perspective (TP). However, little is known about the neural substrates underlying the effect of TP on risk preference. Here, we used a voxel-based morphometry (VBM) method across two samples to address this question. In Sample 1, the behavioral results showed a positive correlation between present hedonistic TP (PHTP) and gambling rate (the index of risk preference), indicating the higher PHTP, the greater the preference for risk. Subsequently, the whole-brain VBM results found that gambling rate was negatively correlated with the gray matter (GM) volume of a cluster in the right posterior parietal cortex (rPPC). The PHTP score was also negatively related to the GM volume of another cluster in the rPPC. We then examined an overlapping region in the rPPC using a conjunction analysis method. The GM volume of this overlapping brain region was related to both PHTP score and gambling rate. Finally, the mediation analysis found that the GM volume of overlapping region in rPPC played a role in explaining the effect of PHTP on risk preference. This result was also reproduced and validated in another independent sample. Taken together, our findings manifest that the structural variation of rPPC can account for the influence that PHTP has upon the risk preference.
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Affiliation(s)
- Ting Xu
- Research center of Psychology and social development, Faculty of Psychology, Southwest University, No. 2, Tian Sheng RD., Beibei, ChongQing, 400715, China
| | - Zhiyi Chen
- Research center of Psychology and social development, Faculty of Psychology, Southwest University, No. 2, Tian Sheng RD., Beibei, ChongQing, 400715, China
| | - Fuschia M Sirois
- Department of Psychology, University of Sheffield, Sheffield, UK
| | - Rong Zhang
- Research center of Psychology and social development, Faculty of Psychology, Southwest University, No. 2, Tian Sheng RD., Beibei, ChongQing, 400715, China
| | - Yaqi Yang
- Research center of Psychology and social development, Faculty of Psychology, Southwest University, No. 2, Tian Sheng RD., Beibei, ChongQing, 400715, China
| | - Tingyong Feng
- Research center of Psychology and social development, Faculty of Psychology, Southwest University, No. 2, Tian Sheng RD., Beibei, ChongQing, 400715, China. .,Key Laboratory of Cognition and Personality, Ministry of Education, Chongqing, China.
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163
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Yang Y, Chattun MR, Yan R, Zhao K, Chen Y, Zhu R, Shi J, Wang X, Lu Q, Yao Z. Atrophy of right inferior frontal orbital gyrus and frontoparietal functional connectivity abnormality in depressed suicide attempters. Brain Imaging Behav 2021; 14:2542-2552. [PMID: 32157476 DOI: 10.1007/s11682-019-00206-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Although structural and functional brain abnormalities have been observed in depressed suicide attempters (DS), structural deficits and functional impairments together with their relationship in DS remain unclear. To clarify this issue, we aimed to examine the differences in gray matter (GM) alteration, corresponding functional connectivity (FC) change, and their relationship between DS and depressed non-suicide attempters (NDS). Sixty-eight DS, 119 NDS and 103 healthy controls were enrolled and subjected to magnetic resonance imaging scans. The patients were evaluated using the 17-item Hamilton Rating Scale for Depression (HRSD) and Nurses' Global Assessment of Suicide Risk (NGASR) scale. Both voxel-based morphometry and resting-state FC analyses were performed based on functional and structural imaging data. Compared with NDS, the DS group showed reduced GM volume in the right inferior frontal orbital gyrus (IFOG) and left caudate (CAU) but increased GM volume in the left calcarine fissure, weaker negative right IFOG-left rectus gyrus (REG) FC, and weaker positive right IFOG-left inferior parietal lobule (IPL) FC. In DS, the GM volume of the right IFOG and left CAU was negatively correlated with NGASR and HRSD scores, respectively; the right IFOG-left IPL FC was negatively correlated with cognitive factor scores; and the GM volume of the right IFOG was positively correlated with IFOG-REG and IFOG-IPL FC. Our findings indicate that structural deficit with its related functional alterations in brain circuits converged in right IFOG centralized pathways and may play a central role in suicidal behaviors in depression.
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Affiliation(s)
- Yuyin Yang
- Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Mohammad Ridwan Chattun
- Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Rui Yan
- Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.,Nanjing Brain Hospital, Medical School of Nanjing University, Nanjing, 210093, China
| | - Ke Zhao
- School of Mental Health, Wenzhou Medical University, Wenzhou, 325000, China
| | - Yu Chen
- Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Rongxin Zhu
- Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Jiabo Shi
- Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Xinyi Wang
- School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, 210096, China.,Child Development and Learning Science, Key Laboratory of Ministry of Education, Nanjing, 210096, China
| | - Qing Lu
- School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, 210096, China. .,Child Development and Learning Science, Key Laboratory of Ministry of Education, Nanjing, 210096, China.
| | - Zhijian Yao
- Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China. .,Nanjing Brain Hospital, Medical School of Nanjing University, Nanjing, 210093, China.
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164
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Yu Y, Zhao H, Dai L, Su Y, Wang X, Chen C, Shang Y, Ke J, Hu C. Headache frequency associates with brain microstructure changes in patients with migraine without aura. Brain Imaging Behav 2021; 15:60-7. [PMID: 31898090 DOI: 10.1007/s11682-019-00232-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Neuroimaging studies have implicated abnormal brain microstructure in episodic migraine (EM), but whether the pattern is altered during migraine chronification is not well known. Fifty-six patients with migraine without aura, including 39 EM patients and 17 chronic migraine (CM) patients, and 35 healthy controls (HCs) were enrolled. Voxel-based morphometry analysis was performed to assess gray matter (GM) volume differences among groups and their association with clinical feature was examined. Compared with the HC group, both migraine groups showed increased GM volume in the periaqueductal grey matter (PAG) and decreased GM volume in the anterior cingulate cortex (ACC). The left hippocampus/parahippocampal gyrus (PHG) volume of the HC group was smaller than that of the EM group, but was larger than that of the CM group. For the dorsolateral prefrontal cortex (dlPFC), the EM group showed the smallest GM volume while the CM group had the largest volume. Higher headache frequency was associated with greater GM volume in the PAG and dlPFC, but was associated with smaller GM volume in the ACC and hippocampus/PHG across all patients. GM volume changes in regions involved in pain generation and control are potential neural mechanism underlying migraine, and are associated with migraine types and headache frequency.
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165
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Wu J, Tong H, Liu Z, Tao J, Chen L, Chan CCH, Lee TMC. Neurobiological effects of perceived stress are different between adolescents and middle-aged adults. Brain Imaging Behav 2021; 15:846-854. [PMID: 32737826 PMCID: PMC8032601 DOI: 10.1007/s11682-020-00294-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Stress is an inevitable element of everyday living. Developmental studies suggested that adolescents are more vulnerable and sensitive to the effect of stress due to their developing brains, especially in areas related to stress perception and processing. This voxel-based morphometry study examined the association between various neurobiological markers and the level of perceived stress experienced by adolescents (n = 26) and middle-aged adults (n = 26). Our findings indicated that differences existed in the relationships between perceived stress and the structural volume of the orbitofrontal cortex (OFC) extending to the insula and amygdala. Specifically, the levels of perceived stress and the grey matter volume of the orbitofrontal cortex, the insula, and the amygdala were positively related in adolescents but negatively related for adults. Furthermore, a significant negative correlation between perceived stress and cortisol levels was observed in adults, whereas the relationship between perceived stress and cortisol levels was not significant for adolescents. Perceived stress measurement may be better than cortisol levels in terms of reflecting the emotional states of adolescents. In sum, the relationships between perceived stress and neurobiological markers were different between adolescents and middle-aged adults and thus appeared to be age dependent.
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Affiliation(s)
- Jingsong Wu
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Horace Tong
- Brain Hospital, Guangzhou Medical University, Guangzhou, China.,State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China.,Laboratory of Neuropsychology and Human Neuroscience, The University of Hong Kong, Hong Kong, China
| | - Zhongwan Liu
- Brain Hospital, Guangzhou Medical University, Guangzhou, China.,State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China.,Laboratory of Neuropsychology and Human Neuroscience, The University of Hong Kong, Hong Kong, China
| | - Jing Tao
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Lidian Chen
- Fujian University of Traditional Chinese Medicine, No. 1 Huatuo Road Shangjie Minhou, Fuzhou, 350122, China.
| | - Chetwyn C H Chan
- Applied Cognitive Neuroscience Laboratory, Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China.
| | - Tatia M C Lee
- Brain Hospital, Guangzhou Medical University, Guangzhou, China. .,State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China. .,Laboratory of Neuropsychology and Human Neuroscience, The University of Hong Kong, Hong Kong, China.
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166
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Ringwald KG, Meller T, Schmitt S, Andlauer TFM, Stein F, Brosch K, Pfarr JK, Steinsträter O, Meinert S, Lemke H, Waltemate L, Thiel K, Grotegerd D, Enneking V, Klug M, Jansen A, Forstner AJ, Streit F, Witt SH, Rietschel M, Müller-Myhsok B, Nöthen MM, Dannlowski U, Krug A, Nenadić I, Kircher T. Interaction of developmental factors and ordinary stressful life events on brain structure in adults. Neuroimage Clin 2021; 30:102683. [PMID: 34215153 PMCID: PMC8102615 DOI: 10.1016/j.nicl.2021.102683] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 04/15/2021] [Accepted: 04/17/2021] [Indexed: 11/28/2022]
Abstract
Stressful life events in adulthood are negatively associated with grey matter volume in the medial orbitofrontal cortex. This association was present for both, positive and negative, life events. Early life risk factors do not interact with current SLEs on brain morphology in healthy subjects.
An interplay of early environmental and genetic risk factors with recent stressful life events (SLEs) in adulthood increases the risk for adverse mental health outcomes. The interaction of early risk and current SLEs on brain structure has hardly been investigated. Whole brain voxel-based morphometry analysis was performed in N = 786 (64.6% female, mean age = 33.39) healthy subjects to identify correlations of brain clusters with commonplace recent SLEs. Genetic and early environmental risk factors, operationalized as those for severe psychopathology (i.e., polygenic scores for neuroticism, childhood maltreatment, urban upbringing and paternal age) were assessed as modulators of the impact of SLEs on the brain. SLEs were negatively correlated with grey matter volume in the left medial orbitofrontal cortex (mOFC, FWE p = 0.003). This association was present for both, positive and negative, life events. Cognitive-emotional variables, i.e., neuroticism, perceived stress, trait anxiety, intelligence, and current depressive symptoms did not account for the SLE-mOFC association. Further, genetic and environmental risk factors were not correlated with grey matter volume in the left mOFC cluster and did not affect the association between SLEs and left mOFC grey matter volume. The orbitofrontal cortex has been implicated in stress-related psychopathology, particularly major depression in previous studies. We find that SLEs are associated with this area. Important early life risk factors do not interact with current SLEs on brain morphology in healthy subjects.
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Affiliation(s)
- Kai G Ringwald
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Hans-Meerwein-Str. 6, 35032 Marburg, Germany.
| | - Tina Meller
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Simon Schmitt
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Hans-Meerwein-Str. 6, 35032 Marburg, Germany; Marburg University Hospital - UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
| | - Till F M Andlauer
- Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Hans-Meerwein-Str. 6, 35032 Marburg, Germany; Marburg University Hospital - UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
| | - Julia-Katharina Pfarr
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Olaf Steinsträter
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
| | - Susanne Meinert
- Department of Psychiatry, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Hannah Lemke
- Department of Psychiatry, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Lena Waltemate
- Department of Psychiatry, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Katharina Thiel
- Department of Psychiatry, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Dominik Grotegerd
- Department of Psychiatry, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Verena Enneking
- Department of Psychiatry, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Melissa Klug
- Department of Psychiatry, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Hans-Meerwein-Str. 6, 35032 Marburg, Germany; Core-Facility BrainImaging, Faculty of Medicine, Rudolf-Bultmann-Str. 8, 35039 Philipps-Universität Marburg, Germany
| | - Andreas J Forstner
- Centre for Human Genetics, Philipps-Universität Marburg, Baldingerstr., 35033 Marburg, Germany; Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, 68159 Mannheim, Germany
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, 68159 Mannheim, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, 68159 Mannheim, Germany
| | - Bertram Müller-Myhsok
- Max-Planck-Institute of Psychiatry, Kraepelinstr. 2-10, 80804 Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Str. 17, 81377 Munich, Germany; Institute of Translational Medicine, University of Liverpool, Crown Street, Liverpool L69 3BX, UK
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Udo Dannlowski
- Department of Psychiatry, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Hans-Meerwein-Str. 6, 35032 Marburg, Germany; Marburg University Hospital - UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Department of Psychiatry and Psychotherapy, University of Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Hans-Meerwein-Str. 6, 35032 Marburg, Germany; Marburg University Hospital - UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Hans-Meerwein-Str. 6, 35032 Marburg, Germany; Marburg University Hospital - UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
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167
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Myznikov A, Zheltyakova M, Korotkov A, Kireev M, Masharipov R, Jagmurov OD, Habel U, Votinov M. Neuroanatomical Correlates of Social Intelligence Measured by the Guilford Test. Brain Topogr 2021; 34:337-347. [PMID: 33866460 PMCID: PMC8099826 DOI: 10.1007/s10548-021-00837-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 03/30/2021] [Indexed: 02/07/2023]
Abstract
Social interactions are a crucial aspect of human behaviour. Numerous neurophysiological studies have focused on socio-cognitive processes associated with the so-called theory of mind-the ability to attribute mental states to oneself and others. Theory of mind is closely related to social intelligence defined as a set of abilities that facilitate effective social interactions. Social intelligence encompasses multiple theory of mind components and can be measured by the Four Factor Test of Social Intelligence (the Guilford-Sullivan test). However, it is unclear whether the differences in social intelligence are reflected in structural brain differences. During the experiment, 48 healthy right-handed individuals completed the Guilford-Sullivan test. T1-weighted structural MRI images were obtained for all participants. Voxel-based morphometry analysis was performed to reveal grey matter volume differences between the two groups (24 subjects in each)-with high social intelligence scores and with low social intelligence scores, respectively. Participants with high social intelligence scores had larger grey matter volumes of the bilateral caudate. The obtained results suggest the caudate nucleus involvement in the neural system of socio-cognitive processes, reflected by its structural characteristics.
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Affiliation(s)
- A Myznikov
- N.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia
| | - M Zheltyakova
- N.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia
| | - A Korotkov
- N.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia
| | - M Kireev
- N.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia
- Saint Petersburg State University, Saint-Petersburg, Russia
| | - R Masharipov
- N.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia
| | - O Dz Jagmurov
- N.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia
| | - U Habel
- Institute of Neuroscience and Medicine 10, Research Centre Jülich, Jülich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - M Votinov
- N.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia.
- Institute of Neuroscience and Medicine 10, Research Centre Jülich, Jülich, Germany.
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168
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Steinbach R, Prell T, Gaur N, Roediger A, Gaser C, Mayer TE, Witte OW, Grosskreutz J. Patterns of grey and white matter changes differ between bulbar and limb onset amyotrophic lateral sclerosis. Neuroimage Clin 2021; 30:102674. [PMID: 33901988 PMCID: PMC8099783 DOI: 10.1016/j.nicl.2021.102674] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 04/09/2021] [Accepted: 04/10/2021] [Indexed: 12/18/2022]
Abstract
Amyotrophic Lateral Sclerosis (ALS) is a progressive neurodegenerative disease that is characterized by a high heterogeneity in patients' disease course. Patients with bulbar onset of symptoms (b-ALS) have a poorer prognosis than patients with limb onset (l-ALS). However, neuroimaging correlates of the assumed biological difference between b-ALS and l-ALS may have been obfuscated by patients' diversity in the disease course. We conducted Voxel-Based-Morphometry (VBM) and Tract-Based-Spatial-Statistics (TBSS) in a group of 76 ALS patients without clinically relevant cognitive deficits. The subgroups of 26 b-ALS and 52 l-ALS patients did not differ in terms of disease Phase or disease aggressiveness according to the D50 progression model. VBM analyses showed widespread ALS-related changes in grey and white matter, that were more pronounced for b-ALS. TBSS analyses revealed that b-ALS was predominantly characterized by frontal fractional anisotropy decreases. This demonstrates a higher degree of neurodegenerative burden for the group of b-ALS patients in comparison to l-ALS. Correspondingly, higher bulbar symptom burden was associated with right-temporal and inferior-frontal grey matter density decreases as well as fractional anisotropy decreases in inter-hemispheric and long association tracts. Contrasts between patients in Phase I and Phase II further revealed that b-ALS was characterized by an early cortical pathology and showed a spread only outside primary motor regions to frontal and temporal areas. In contrast, l-ALS showed ongoing structural integrity loss within primary motor-regions until Phase II. We therefore provide a strong rationale to treat both onset types of disease separately in ALS studies.
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Affiliation(s)
- Robert Steinbach
- Hans Berger Department of Neurology, Jena University Hospital, Jena, Germany.
| | - Tino Prell
- Hans Berger Department of Neurology, Jena University Hospital, Jena, Germany; Center for Healthy Ageing, Jena University Hospital, Jena
| | - Nayana Gaur
- Hans Berger Department of Neurology, Jena University Hospital, Jena, Germany
| | | | - Christian Gaser
- Hans Berger Department of Neurology, Jena University Hospital, Jena, Germany; Center for Healthy Ageing, Jena University Hospital, Jena; Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Thomas E Mayer
- Department of Neuroradiology, Jena University Hospital, Jena, Germany
| | - Otto W Witte
- Hans Berger Department of Neurology, Jena University Hospital, Jena, Germany; Center for Healthy Ageing, Jena University Hospital, Jena
| | - Julian Grosskreutz
- Hans Berger Department of Neurology, Jena University Hospital, Jena, Germany; Center for Healthy Ageing, Jena University Hospital, Jena
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169
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Unger I, Wabnegger A, Schienle A. The association between the propensity to experience meaningful coincidence and brain anatomy in healthy females: The moderating role of coping skills. Conscious Cogn 2021; 91:103132. [PMID: 33862366 DOI: 10.1016/j.concog.2021.103132] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 03/29/2021] [Accepted: 04/02/2021] [Indexed: 12/12/2022]
Abstract
When two events co-occur within a specific time interval, some people experience 'meaningful coincidence'. This may be a consequence of the mind searching for causal structure in reality. In cases of negative events, it may be a coping strategy for managing stress. The present voxel-based morphometry (VBM) study investigated neural correlates of the propensity to experience meaningful coincidence (PEMC). VBM data from 115 females (mean age: 26 years) were correlated with self-reported PEMC and the use of certain coping strategies (e.g. seeking support, positive focusing). PEMC was negatively correlated with grey matter volume (GMV) in the medial prefrontal cortex, the inferior frontal gyrus, and the superior/inferior parietal cortex. Moderation analyses indicated that the negative association between GMV in the mentioned brain regions and PEMC was only present in participants with average or below-average coping skills. The identified fronto-parietal regions are part of an integrated neural network implicated in the detection of causality and cognitive control.
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170
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Chen S, Zhang J, Ruan X, Deng K, Zhang J, Zou D, He X, Li F, Bin G, Zeng H, Huang B. Voxel-based morphometry analysis and machine learning based classification in pediatric mesial temporal lobe epilepsy with hippocampal sclerosis. Brain Imaging Behav 2021; 14:1945-1954. [PMID: 31250266 DOI: 10.1007/s11682-019-00138-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS) is a common type of pediatric epilepsy. We sought to evaluate whether the combination of voxel-based morphometry (VBM) and support vector machine (SVM), a machine learning method, was feasible for the classification of MTLE-HS. Three-dimensional T1-weighted MRI was acquired in 37 participants including 22 with MTLE-HS (16 left, 6 right) and 15 healthy controls (HCs). VBM was used to detect the regions of gray matter volume (GMV) abnormalities. The volumes of these regions were then calculated for each participant and used as the features in SVM. The SVM model was trained and tested with leave-one-out cross validation (LOOCV). We performed VBM-based comparison and SVM-based classification between left HS (LHS) and HC as well as between right HS (RHS) and HC. Both GMV increase and reduction were found in the group comparisons with VBM. Using SVM, we reached an area under the receiver operating characteristic curve (AUC) of 0.870, 0.976 and 0.902 for the classification between LHS and HC, between RHS and HC and between HS and HC respectively. The VBM findings were concordant with the clinical findings. Thus, our proposed method combining VBM findings with SVM, were applicable in the classification of padiatric MTLE-HS with high accuracy.
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Affiliation(s)
- Shihui Chen
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, People's Republic of China
| | - Jian Zhang
- Health Science Centre, Shenzhen University, Shenzhen, Guangdong, People's Republic of China.,Shenzhen University Clinical Research Center for Neurological Diseases, Shenzhen, Guangdong, People's Republic of China
| | - Xiaolei Ruan
- Jiuquan Satellite Launch Center, Lanzhou, Gansu, People's Republic of China
| | - Kan Deng
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, People's Republic of China.,Shenzhen University Clinical Research Center for Neurological Diseases, Shenzhen, Guangdong, People's Republic of China
| | - Jianing Zhang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, People's Republic of China.,Shenzhen University Clinical Research Center for Neurological Diseases, Shenzhen, Guangdong, People's Republic of China
| | - Dongfang Zou
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen, Guangdong, People's Republic of China
| | - Xiaoming He
- Xiangyang Central Hospital/Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, People's Republic of China
| | - Feng Li
- Xiangyang Central Hospital/Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, People's Republic of China
| | - Guo Bin
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, People's Republic of China.,Shenzhen University Clinical Research Center for Neurological Diseases, Shenzhen, Guangdong, People's Republic of China
| | - Hongwu Zeng
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen, Guangdong, People's Republic of China.
| | - Bingsheng Huang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, People's Republic of China. .,Shenzhen University Clinical Research Center for Neurological Diseases, Shenzhen, Guangdong, People's Republic of China.
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171
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Sajous-Turner A, Anderson NE, Widdows M, Nyalakanti P, Harenski K, Harenski C, Koenigs M, Decety J, Kiehl KA. Aberrant brain gray matter in murderers. Brain Imaging Behav 2020; 14:2050-61. [PMID: 31278652 DOI: 10.1007/s11682-019-00155-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Homicide is a significant societal problem with economic costs in the billions of dollars annually and incalculable emotional impact on victims and society. Despite this high burden, we know very little about the neuroscience of individuals who commit homicide. Here we examine brain gray matter differences in incarcerated adult males who have committed homicide (n = 203) compared to other non-homicide offenders (n = 605; total n = 808). Homicide offenders' show reduced gray matter in brain areas critical for behavioral control and social cognition compared with subsets of other violent and non-violent offenders. This demonstrates, for the first time, that unique brain abnormalities may distinguish offenders who kill from other serious violent offenders and non-violent antisocial individuals.
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172
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Wolf RC, Hildebrandt V, Schmitgen MM, Pycha R, Kirchler E, Macina C, Karner M, Hirjak D, Kubera KM, Romanov D, Freudenmann RW, Huber M. Aberrant Gray Matter Volume and Cortical Surface in Paranoid-Type Delusional Disorder. Neuropsychobiology 2021; 79:335-344. [PMID: 32160619 DOI: 10.1159/000505601] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Accepted: 12/24/2019] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Delusions are core symptoms of schizophrenia-spectrum and related disorders. Despite their clinical relevance, the neural correlates underlying such phenomena are unclear. Recent research suggests that specific delusional content may be associated with distinct neural substrates. OBJECTIVE Here, we used structural magnetic resonance imaging to investigate multiple parameters of brain morphology in patients presenting with paranoid type delusional disorder (pt-DD, n = 14) compared to those of healthy controls (HC, n = 25). METHODS Voxel- and surface-based morphometry for structural data was used to investigate gray matter volume (GMV), cortical thickness (CT) and gyrification. RESULTS Compared to HC, patients with pt-DD showed reduced GMV in bilateral amygdala and right inferior frontal gyrus. Higher GMV in patients was found in bilateral orbitofrontal and in left superior frontal cortices. Patients also had lower CT in frontal and temporal regions. Abnormal gyrification in patients was evident in frontal and temporal areas, as well as in bilateral insula. CONCLUSIONS The data suggest the presence of aberrant GMV in a right prefrontal region associated with belief evaluation, as well as distinct structural abnormalities in areas that essentially subserve processing of fear, anxiety and threat in patients with pt-DD. It is possible that cortical features of distinct evolutionary and genetic origin, i.e. CT and gyrification, contribute differently to the pathogenesis of pt-DD.
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Affiliation(s)
- Robert Christian Wolf
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany,
| | - Viviane Hildebrandt
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Mike M Schmitgen
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Roger Pycha
- Department of Psychiatry, General Hospital Bruneck, Bruneck, Italy
| | - Erwin Kirchler
- Department of Psychiatry, General Hospital Bruneck, Bruneck, Italy
| | - Christian Macina
- Department of Psychiatry, General Hospital Bruneck, Bruneck, Italy
| | - Martin Karner
- Department of Radiology, General Hospital Bruneck, Bruneck, Italy
| | - Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Katharina M Kubera
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Dmitry Romanov
- Department of Psychiatry and Psychosomatics, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russian Federation
| | | | - Markus Huber
- Department of Psychiatry, General Hospital Bruneck, Bruneck, Italy
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173
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Besteher B, Gaser C, Nenadić I. Brain Structure and Subclinical Symptoms: A Dimensional Perspective of Psychopathology in the Depression and Anxiety Spectrum. Neuropsychobiology 2021; 79:270-283. [PMID: 31340207 DOI: 10.1159/000501024] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2019] [Accepted: 05/18/2019] [Indexed: 11/19/2022]
Abstract
Human psychopathology is the result of complex and subtle neurobiological alterations. Categorial DSM or ICD diagnoses do not allow a biologically founded and differentiated description of these diverse processes across a spectrum or continuum, emphasising the need for a scientific and clinical paradigm shift towards a dimensional psychiatric nosology. The subclinical part of the spectrum is, however, of special interest for early detection of mental disorders. We review the current evidence of brain structural correlates (grey matter volume, cortical thickness, and gyrification) in non-clinical (psychiatrically healthy) subjects with minor depressive and anxiety symptoms. We identified 16 studies in the depressive spectrum and 20 studies in the anxiety spectrum. These studies show effects associated with subclinical symptoms in the hippocampus, anterior cingulate cortex, and anterior insula similar to major depression and changes in amygdala similar to anxiety disorders. Precuneus and temporal areas as parts of the default mode network were affected specifically in the subclinical studies. We derive several methodical considerations crucial to investigations of brain structural correlates of minor psycho(patho)logical symptoms in healthy participants. And we discuss neurobiological overlaps with findings in patients as well as distinct findings, e.g. in areas involved in the default mode network. These results might lead to more insight into the early pathogenesis of clinical significant depression or anxiety and need to be enhanced by multi-centre and longitudinal studies.
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Affiliation(s)
- Bianca Besteher
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany,
| | - Christian Gaser
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany.,Department of Neurology, Jena University Hospital, Jena, Germany
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, Philipps University Marburg/Marburg University Hospital - UKGM, Marburg, Germany
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174
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Wen F, Yan J, Yu L, Wang F, Liu J, Li Y, Cui Y. Grey matter abnormalities in Tourette syndrome: an activation likelihood estimation meta-analysis. BMC Psychiatry 2021; 21:184. [PMID: 33827505 PMCID: PMC8028086 DOI: 10.1186/s12888-021-03187-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Accepted: 03/29/2021] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Tourette syndrome (TS) is a neurodevelopmental disorder defined by the continual presence of primary motor and vocal tics. Grey matter abnormalities have been identified in numerous studies of TS, but conflicting results have been reported. This study was an unbiased statistical meta-analysis of published neuroimaging studies of TS structures. METHODS A voxel quantitative meta-analysis technique called activation likelihood estimation (ALE) was used. The meta-analysis included six neuroimaging studies involving 247 TS patients and 236 healthy controls. A statistical threshold of p < 0.05 was established based on the false discovery rate and a cluster extent threshold of 50 voxels. RESULTS We found that grey matter volumes were significantly increased in the bilateral thalamus, right hypothalamus, right precentral gyrus, left postcentral gyrus, left inferior parietal lobule, right lentiform nucleus, and left insula of TS patients compared to those of healthy controls. In contrast, grey matter volumes were significantly decreased in the bilateral postcentral gyrus, bilateral anterior cingulate, bilateral insula, left posterior cingulate and left postcentral gyrus of TS patients compared to those of healthy controls. CONCLUSIONS Our present meta-analysis primarily revealed significant increases in grey matter volumes in the thalamus and lentiform nucleus, and decreased grey matter volumes in the anterior cingulate gyrus, of TS patients compared to those in healthy controls. Most of these identified regions are associated with cortico-striato-thalamo-cortical circuits. Further studies with larger sample sizes are needed to confirm these changes in grey matter volumes in TS patients.
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Affiliation(s)
- Fang Wen
- grid.24696.3f0000 0004 0369 153XDepartment of Psychiatry, Beijing Children’s Hospital, Capital Medical University, National Center for Children Healthy, 56 Nanlishi Road, Beijing, China
| | - Junjuan Yan
- grid.24696.3f0000 0004 0369 153XDepartment of Psychiatry, Beijing Children’s Hospital, Capital Medical University, National Center for Children Healthy, 56 Nanlishi Road, Beijing, China
| | - Liping Yu
- grid.24696.3f0000 0004 0369 153XDepartment of Psychiatry, Beijing Children’s Hospital, Capital Medical University, National Center for Children Healthy, 56 Nanlishi Road, Beijing, China
| | - Fang Wang
- grid.24696.3f0000 0004 0369 153XDepartment of Psychiatry, Beijing Children’s Hospital, Capital Medical University, National Center for Children Healthy, 56 Nanlishi Road, Beijing, China
| | - Jingran Liu
- grid.24696.3f0000 0004 0369 153XDepartment of Psychiatry, Beijing Children’s Hospital, Capital Medical University, National Center for Children Healthy, 56 Nanlishi Road, Beijing, China
| | - Ying Li
- Department of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Children Healthy, 56 Nanlishi Road, Beijing, China.
| | - Yonghua Cui
- Department of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Children Healthy, 56 Nanlishi Road, Beijing, China.
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175
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Kotkowski E, Price LR, Blevins CJ, Franklin CG, Woolsey MD, DeFronzo RA, Blangero J, Duggirala R, Glahn DC, Schmahmann JD, Fox PT. Using the Schmahmann Syndrome Scale to Assess Cognitive Impairment in Young Adults with Metabolic Syndrome: a Hypothesis-Generating Report. Cerebellum 2021; 20:295-299. [PMID: 33159660 PMCID: PMC8005432 DOI: 10.1007/s12311-020-01212-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 11/02/2020] [Indexed: 12/27/2022]
Abstract
The posterior cerebellum is the most significantly compromised brain structure in individuals with metabolic syndrome (MetS) (Hum Brain Mapp 40(12):3575-3588, 2019). In light of this, we hypothesized that cognitive decline reported in patients with MetS is likely related to posterior cerebellar atrophy. In this study, we performed a post hoc analyses using T1-weighted magnetic resonance imaging (MRI), diffusion tensor imaging (DTI) in the form of voxel-wise tract-based spatial statistics (TBSS), biometric, and psychometric data from young participants with (n = 52, aged 18-35 years) and without MetS (n = 52, aged 18-35 years). To test the predictive value of components of the Schmahmann syndrome scale (SSS), also known as the cerebellar cognitive affective syndrome scale, we used structural equation modeling to adapt available psychometric scores in our participant sample to the SSS and compare them to the composite score of all psychometric data available. Our key findings point to a statistically significant correlation between TBSS fractional anisotropy (FA) values from DTI and adapted SSS psychometric scores in individuals with MetS (r2 = .139, 95% CI = 0.009, .345). This suggests that the SSS could be applied to assess cognitive and likely neuroanatomical effects associated with MetS. We strongly suggest that future work aimed at investigating the neurocognitive effects of MetS and related comorbidities (i.e., dyslipidemia, diabetes, obesity) would benefit from implementing and further exploring the validity of the SSS in this patient population.
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Affiliation(s)
- Eithan Kotkowski
- Research Imaging Institute, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX, 78229, USA.
| | - Larry R Price
- Methodology, Measurement & Statistical Analysis Center, Texas State University, San Marcos, TX, USA
| | - Cheasequah J Blevins
- Mathematical Biosciences Institute, The Ohio State University, Columbus, OH, USA
| | - Crystal G Franklin
- Research Imaging Institute, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX, 78229, USA
| | - Mary D Woolsey
- Research Imaging Institute, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX, 78229, USA
| | - Ralph A DeFronzo
- Texas Diabetes Institute, San Antonio, TX, USA
- Diabetes Research Unit and Diabetes Division, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - John Blangero
- Genomics Computing Center, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - Ravindranath Duggirala
- Genomics Computing Center, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - David C Glahn
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - Jeremy D Schmahmann
- Ataxia Unit, Cognitive Behavioral Neurology Unit, Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX, 78229, USA
- South Texas Veterans Healthcare System, San Antonio, TX, USA
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176
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Tissot C, L Benedet A, Therriault J, Pascoal TA, Lussier FZ, Saha-Chaudhuri P, Chamoun M, Savard M, Mathotaarachchi SS, Bezgin G, Wang YT, Fernandez Arias J, Rodriguez JL, Snellman A, Ashton NJ, Karikari TK, Blennow K, Zetterberg H, De Villers-Sidani E, Huot P, Gauthier S, Rosa-Neto P. Plasma pTau181 predicts cortical brain atrophy in aging and Alzheimer's disease. Alzheimers Res Ther 2021; 13:69. [PMID: 33781319 PMCID: PMC8008680 DOI: 10.1186/s13195-021-00802-x] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 03/08/2021] [Indexed: 12/31/2022]
Abstract
BACKGROUND To investigate the association of plasma pTau181, assessed with a new immunoassay, with neurodegeneration of white matter and gray matter cross-sectionally and longitudinally, in aging and Alzheimer's disease. METHODS Observational data was obtained from the Alzheimer's Disease Neuroimaging Initiative, in which participants underwent plasma assessment and magnetic resonance imaging. Based on their clinical diagnosis, participants were classified as cognitively unimpaired and cognitively impaired. Linear regressions and linear mixed-effect models were used to test the cross-sectional and longitudinal associations between baseline plasma pTau181 and neurodegeneration using voxel-based morphometry. RESULTS We observed a negative correlation at baseline between plasma pTau181 and gray matter volume in cognitively unimpaired individuals. In cognitively impaired individuals, we observed a negative association between plasma pTau181 and both gray and white matter volume. In longitudinal analyses conducted in the cognitively unimpaired group, plasma pTau181 was negatively correlated with gray matter volume, starting 36 months after baseline assessments. Finally, in cognitively impaired individuals, plasma pTau181 concentrations were negatively correlated with both gray and white matter volume as early as 12 months after baseline, and neurodegeneration increased in an incremental manner until 48 months. CONCLUSIONS Higher levels of plasma pTau181 correlate with neurodegeneration and predict further brain atrophy in aging and Alzheimer's disease. Plasma pTau181 may be useful in predicting AD-related neurodegeneration, comparable to positron emission tomography or cerebrospinal fluid assessment with high specificity for AD neurodegeneration.
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Affiliation(s)
- Cécile Tissot
- The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, 875 La Salle Blvd - FBC room 3149, Montreal, QC, H4H 1R3, Canada
- Translational Neuroimaging Laboratory-McGill University, Montreal, QC, Canada
- Douglas Hospital Research Centre, Verdun, QC, Canada
| | - Andréa L Benedet
- The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, 875 La Salle Blvd - FBC room 3149, Montreal, QC, H4H 1R3, Canada
- Translational Neuroimaging Laboratory-McGill University, Montreal, QC, Canada
| | - Joseph Therriault
- The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, 875 La Salle Blvd - FBC room 3149, Montreal, QC, H4H 1R3, Canada
- Translational Neuroimaging Laboratory-McGill University, Montreal, QC, Canada
| | - Tharick A Pascoal
- The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, 875 La Salle Blvd - FBC room 3149, Montreal, QC, H4H 1R3, Canada
- Translational Neuroimaging Laboratory-McGill University, Montreal, QC, Canada
| | - Firoza Z Lussier
- The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, 875 La Salle Blvd - FBC room 3149, Montreal, QC, H4H 1R3, Canada
- Translational Neuroimaging Laboratory-McGill University, Montreal, QC, Canada
| | | | - Mira Chamoun
- The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, 875 La Salle Blvd - FBC room 3149, Montreal, QC, H4H 1R3, Canada
- Translational Neuroimaging Laboratory-McGill University, Montreal, QC, Canada
| | - Melissa Savard
- The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, 875 La Salle Blvd - FBC room 3149, Montreal, QC, H4H 1R3, Canada
- Translational Neuroimaging Laboratory-McGill University, Montreal, QC, Canada
| | - Sulantha S Mathotaarachchi
- The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, 875 La Salle Blvd - FBC room 3149, Montreal, QC, H4H 1R3, Canada
- Translational Neuroimaging Laboratory-McGill University, Montreal, QC, Canada
| | - Gleb Bezgin
- The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, 875 La Salle Blvd - FBC room 3149, Montreal, QC, H4H 1R3, Canada
- Translational Neuroimaging Laboratory-McGill University, Montreal, QC, Canada
| | - Yi-Ting Wang
- The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, 875 La Salle Blvd - FBC room 3149, Montreal, QC, H4H 1R3, Canada
- Translational Neuroimaging Laboratory-McGill University, Montreal, QC, Canada
| | - Jaime Fernandez Arias
- The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, 875 La Salle Blvd - FBC room 3149, Montreal, QC, H4H 1R3, Canada
- Translational Neuroimaging Laboratory-McGill University, Montreal, QC, Canada
| | - Juan Lantero Rodriguez
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anniina Snellman
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
- King's College London, Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute, London, UK
- NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation, London, UK
| | - Thomas K Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- UK Dementia Research Institute at UCL, London, UK
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | | | - Philippe Huot
- Neurodegenerative disease groups, Montreal Neurological Institute, Montreal, QC, Canada
| | - Serge Gauthier
- The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, 875 La Salle Blvd - FBC room 3149, Montreal, QC, H4H 1R3, Canada
- Douglas Hospital Research Centre, Verdun, QC, Canada
| | - Pedro Rosa-Neto
- The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, 875 La Salle Blvd - FBC room 3149, Montreal, QC, H4H 1R3, Canada.
- Translational Neuroimaging Laboratory-McGill University, Montreal, QC, Canada.
- Douglas Hospital Research Centre, Verdun, QC, Canada.
- Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal, Montreal, QC, Canada.
- Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, Canada.
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Manninen S, Karjalainen T, Tuominen LJ, Hietala J, Kaasinen V, Joutsa J, Rinne J, Nummenmaa L. Cerebral grey matter density is associated with neuroreceptor and neurotransporter availability: A combined PET and MRI study. Neuroimage 2021; 235:117968. [PMID: 33785434 DOI: 10.1016/j.neuroimage.2021.117968] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 02/12/2021] [Accepted: 03/05/2021] [Indexed: 12/21/2022] Open
Abstract
Positron emission tomography (PET) can be used for in vivo measurement of specific neuroreceptors and transporters using radioligands, while voxel-based morphometric analysis of magnetic resonance images allows automated estimation of local grey matter densities. However, it is not known how regional neuroreceptor or transporter densities are reflected in grey matter densities. Here, we analyzed brain scans retrospectively from 328 subjects and compared grey matter density estimates with neuroreceptor and transporter availabilities. µ-opioid receptors (MORs) were measured with [11C]carfentanil (162 scans), dopamine D2 receptors with [11C]raclopride (92 scans) and serotonin transporters (SERT) with [11C]MADAM (74 scans). The PET data were modelled with simplified reference tissue model. Voxel-wise correlations between binding potential and grey matter density images were computed. Regional binding of all the used radiotracers was associated with grey matter density in region and ligand-specific manner independently of subjects' age or sex. These data show that grey matter density and MOR and D2R neuroreceptor / SERT availability are correlated, with effect sizes (r2) ranging from 0.04 to 0.69. This suggests that future studies comparing PET outcome measure different groups (such as patients and controls) should also analyze interactive effects of grey matter density and PET outcome measures.
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Affiliation(s)
- Sandra Manninen
- Turku Pet Centre and Turku University Hospital, Turku, Finland.
| | | | - Lauri J Tuominen
- Turku Pet Centre and Turku University Hospital, Turku, Finland; University of Ottawa, Institute of Mental Health Research, Ottawa, Ontario, Canada
| | - Jarmo Hietala
- Department of Psychiatry, Turku University Hospital, Turku, Finland
| | - Valtteri Kaasinen
- Clinical Neurosciences, University of Turku, Turku, Finland; Neurocenter, Turku University Hospital, Turku, Finland
| | - Juho Joutsa
- Clinical Neurosciences, University of Turku, Turku, Finland
| | - Juha Rinne
- Turku Pet Centre and Turku University Hospital, Turku, Finland
| | - Lauri Nummenmaa
- Turku Pet Centre and Turku University Hospital, Turku, Finland; Department of Psychology, University of Turku, Finland
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178
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Jütten K, Mainz V, Schubert GA, Fabian Gohmann R, Schmidt T, Ridwan H, Clusmann H, Mueller CA, Blume C. Cortical volume reductions as a sign of secondary cerebral and cerebellar impairment in patients with degenerative cervical myelopathy. Neuroimage Clin 2021; 30:102624. [PMID: 33773163 PMCID: PMC8025145 DOI: 10.1016/j.nicl.2021.102624] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 03/04/2021] [Accepted: 03/05/2021] [Indexed: 11/26/2022]
Abstract
Degenerative cervical myelopathy is the most common cause of chronic impairment of the spinal cord. MRI-based anatomical assessment of cerebral and cerebellar areas revealed significant tissue volume reduction in DCM patients compared to healthy controls. Disease severity correlated with cerebral and cerebellar atrophy in the primary motor cortex, primary somatosensory cortex and cerebellar areas. Chronic injury to the spinal cord seems to have impact on remote anatomical structures in the brain.
This study investigated supra- and infratentorial structural gray and white matter (GM, WM) alterations in patients with degenerative cervical myelopathy (DCM) as an indicator of secondary harm due to chronic cervical cord compression and micro trauma. With MRI-based anatomical assessment and subsequent voxel-based morphometry analyses, pre- and postoperative volume alterations in the primary motor cortex (MI), the primary somatosensory cortex (SI), the supplementary motor area (SMA), and the cerebellum were analyzed in 43 DCM patients and 20 controls. We assessed disease-related symptom severity by the modified Japanese Orthopaedic Association scale (mJOA). The study also explored symptom severity-based brain volume alterations as well as their association with clinical status. Patients had lower mJOA scores (p = .000) and lower GM volume than controls in SI (p = .016) and cerebellar regions (p = .001). Symptom severity-based subgroup analyses revealed volume reductions in almost all investigated GM ROIs (MI: p = .001; CB: p = .040; SMA: p = .007) in patients with severe clinical symptoms as well as atrophy already present in patients with moderate symptom severity. Clinical symptoms in DCM were associated with cortical and cerebellar volume reduction. GM volume alterations may serve as an indicator of both disease severity and ongoing disease progression in DCM, and should be considered in further patient care and treatment monitoring.
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Affiliation(s)
- Kerstin Jütten
- Department of Neurosurgery, RWTH Aachen University, Pauwelsstraße 30, 52074 Aachen, Germany
| | - Verena Mainz
- Institute of Medical Psychology and Medical Sociology, RWTH Aachen University, Pauwelsstraße 19, 52074 Aachen, Germany
| | | | - Robin Fabian Gohmann
- Department of Diagnostic and Interventional Radiology, Heart Center Leipzig, Strümpelstraße 39, 04289 Leipzig, Germany; Medical Faculty, University of Leipzig, Liebigstraße 27, 04103 Leipzig, Germany
| | - Tobias Schmidt
- Department of Neurosurgery, RWTH Aachen University, Pauwelsstraße 30, 52074 Aachen, Germany
| | - Hani Ridwan
- Department of Diagnostic and Interventional Neuroradiology, RWTH Aachen University, Pauwelsstraße 30, 52074 Aachen, Germany
| | - Hans Clusmann
- Department of Neurosurgery, RWTH Aachen University, Pauwelsstraße 30, 52074 Aachen, Germany
| | | | - Christian Blume
- Department of Neurosurgery, RWTH Aachen University, Pauwelsstraße 30, 52074 Aachen, Germany.
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179
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Zhang YN, Li H, Shen ZW, Xu C, Huang YJ, Wu RH. Healthy individuals vs patients with bipolar or unipolar depression in gray matter volume. World J Clin Cases 2021; 9:1304-1317. [PMID: 33644197 PMCID: PMC7896697 DOI: 10.12998/wjcc.v9.i6.1304] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 12/14/2020] [Accepted: 12/23/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Previous studies using voxel-based morphometry (VBM) revealed changes in gray matter volume (GMV) of patients with depression, but the differences between patients with bipolar disorder (BD) and unipolar depression (UD) are less known.
AIM To analyze the whole-brain GMV data of patients with untreated UD and BD compared with healthy controls.
METHODS Fourteen patients with BD and 20 with UD were recruited from the Mental Health Center of Shantou University between August 2014 and July 2015, and 20 non-depressive controls were recruited. After routine three-plane positioning, axial T2WI scanning was performed. The connecting line between the anterior and posterior commissures was used as the scanning baseline. The scanning range extended from the cranial apex to the foramen magnum. Categorical data are presented as frequencies and were analyzed using the Fisher exact test.
RESULTS There were no significant intergroup differences in gender, age, or years of education. Disease course, age at the first episode, and Hamilton depression rating scale scores were similar between patients with UD and those with BD. Compared with the non-depressive controls, patients with BD showed smaller GMVs in the right inferior temporal gyrus, left middle temporal gyrus, right middle occipital gyrus, and right superior parietal gyrus and larger GMVs in the midbrain, left superior frontal gyrus, and right cerebellum. In contrast, UD patients showed smaller GMVs than the controls in the right fusiform gyrus, left inferior occipital gyrus, left paracentral lobule, right superior and inferior temporal gyri, and the right posterior lobe of the cerebellum, and larger GMVs than the controls in the left posterior central gyrus and left middle frontal gyrus. There was no difference in GMV between patients with BD and UD.
CONCLUSION Using VBM, the present study revealed that patients with UD and BD have different patterns of changes in GMV when compared with healthy controls.
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Affiliation(s)
- Yin-Nan Zhang
- Department of Rehabilitation Medicine, Mental Health Center of Shantou University, Shantou 515000, Guangdong Province, China
| | - Hui Li
- Mental Health Center of Shantou University, Shantou 515000, Guangdong Province, China
| | | | - Chang Xu
- Mental Health Center of Shantou University, Shantou 515000, Guangdong Province, China
| | - Yue-Jun Huang
- Department of Pediatrics, The Second Affiliated Hospital of Shantou University Medical College, Shantou 515000, Guangdong Province, China
| | - Ren-Hua Wu
- Department of Medical Imaging, The Second Affiliated Hospital of Shantou University Medical College, Shantou 515041, Guangdong Province, China
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180
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Sampedro F, Farrés CCI, Soler J, Elices M, Schmidt C, Corripio I, Domínguez-Clavé E, Pomarol-Clotet E, Salvador R, Pascual JC. Structural brain abnormalities in borderline personality disorder correlate with clinical severity and predict psychotherapy response. Brain Imaging Behav 2021; 15:2502-2512. [PMID: 33634348 DOI: 10.1007/s11682-021-00451-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/03/2021] [Indexed: 11/24/2022]
Abstract
Although previous imaging studies in borderline personality disorder (BPD) have found brain abnormalities, the results have been inconsistent. This study aimed to investigate structural brain abnormalities using voxel-based morphometry (VBM) and cortical thickness (Cth) analyses in a large sample of patients with BPD. Additionally, we aimed to determine the correlation between structural abnormalities and clinical severity and to assess its potential value at predicting psychotherapeutic response. Sixty-one individuals with BPD and 19 healthy controls underwent magnetic resonance imaging. Participants with BPD completed several self-report clinical scales, received dialectical-behavioral therapy skills training and post-therapy changes in clinical scores were also recorded. Gray matter volume (GMV) and Cth differences between groups were compared. Within the BPD group, we further characterized the structural brain correlates of clinical severity and investigated the relationship between pre-therapy structural abnormalities and therapeutic response. As potential confounders we included age, sex, educational level, and total intracranial volume (the latter only in VBM analyses). Compared to controls, the BPD group showed a reduced GMV/Cth in prefrontal areas but increased GMV in the limbic structures (amygdala and parahippocampal regions). Prefrontal abnormalities correlated with higher baseline scores on impulsivity and general BPD severity. Increased GMV in the parahippocampal area correlated with a greater emotion dysregulation. Importantly, several baseline structural abnormalities correlated with worse response to psychotherapy. Patients with BPD showed a reduced GMV in the prefrontal areas but a greater GMV in the limbic structures. Several structural abnormalities (i.e. middle and inferior prefrontal areas, anterior insula, or parahippocampal area) correlated with clinical severity and could potentially be used as imaging biological correlates biomarkers to predict psychotherapy response.
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Affiliation(s)
- Frederic Sampedro
- Movement Disorders Unit Neurology Department Hospital de la Santa Creu i Sant Pau, IIB-Sant Pau, Barcelona, Spain.,Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Cristina Carmona I Farrés
- Department of Psychiatry Hospital de la Santa Creu i Sant Pau, C/ Sant Antoni Mª Claret, 167.08025, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental. CIBERSAM, Madrid, Spain
| | - Joaquim Soler
- Department of Psychiatry Hospital de la Santa Creu i Sant Pau, C/ Sant Antoni Mª Claret, 167.08025, Barcelona, Spain. .,Centro de Investigación Biomédica en Red de Salud Mental. CIBERSAM, Madrid, Spain. .,Department of Psychiatry and Legal Medicine, Autonomous University of Barcelona, UAB, Barcelona, Spain.
| | - Matilde Elices
- Department of Psychiatry Hospital de la Santa Creu i Sant Pau, C/ Sant Antoni Mª Claret, 167.08025, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental. CIBERSAM, Madrid, Spain
| | - Carlos Schmidt
- Department of Psychiatry Hospital de la Santa Creu i Sant Pau, C/ Sant Antoni Mª Claret, 167.08025, Barcelona, Spain
| | - Iluminada Corripio
- Department of Psychiatry Hospital de la Santa Creu i Sant Pau, C/ Sant Antoni Mª Claret, 167.08025, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental. CIBERSAM, Madrid, Spain.,Department of Psychiatry and Legal Medicine, Autonomous University of Barcelona, UAB, Barcelona, Spain
| | - Elisabet Domínguez-Clavé
- Department of Psychiatry Hospital de la Santa Creu i Sant Pau, C/ Sant Antoni Mª Claret, 167.08025, Barcelona, Spain
| | - Edith Pomarol-Clotet
- Centro de Investigación Biomédica en Red de Salud Mental. CIBERSAM, Madrid, Spain.,FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | - Raymond Salvador
- Centro de Investigación Biomédica en Red de Salud Mental. CIBERSAM, Madrid, Spain.,FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | - Juan C Pascual
- Department of Psychiatry Hospital de la Santa Creu i Sant Pau, C/ Sant Antoni Mª Claret, 167.08025, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental. CIBERSAM, Madrid, Spain.,Department of Psychiatry and Legal Medicine, Autonomous University of Barcelona, UAB, Barcelona, Spain
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181
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Masson R, Demarquay G, Meunier D, Lévêque Y, Hannoun S, Bidet-Caulet A, Caclin A. Is Migraine Associated to Brain Anatomical Alterations? New Data and Coordinate-Based Meta-analysis. Brain Topogr 2021; 34:384-401. [PMID: 33606142 DOI: 10.1007/s10548-021-00824-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 02/05/2021] [Indexed: 11/25/2022]
Abstract
A growing number of studies investigate brain anatomy in migraine using voxel- (VBM) and surface-based morphometry (SBM), as well as diffusion tensor imaging (DTI). The purpose of this article is to identify consistent patterns of anatomical alterations associated with migraine. First, 19 migraineurs without aura and 19 healthy participants were included in a brain imaging study. T1-weighted MRIs and DTI sequences were acquired and analyzed using VBM, SBM and tract-based spatial statistics. No significant alterations of gray matter (GM) volume, cortical thickness, cortical gyrification, sulcus depth and white-matter tract integrity could be observed. However, migraineurs displayed decreased white matter (WM) volume in the left superior longitudinal fasciculus. Second, a systematic review of the literature employing VBM, SBM and DTI was conducted to investigate brain anatomy in migraine. Meta-analysis was performed using Seed-based d Mapping via permutation of subject images (SDM-PSI) on GM volume, WM volume and cortical thickness data. Alterations of GM volume, WM volume, cortical thickness or white-matter tract integrity were reported in 72%, 50%, 56% and 33% of published studies respectively. Spatial distribution and direction of the disclosed effects were highly inconsistent across studies. The SDM-PSI analysis revealed neither significant decrease nor significant increase of GM volume, WM volume or cortical thickness in migraine. Overall there is to this day no strong evidence of specific brain anatomical alterations reliably associated to migraine. Possible explanations of this conflicting literature are discussed. Trial registration number: NCT02791997, registrated February 6th, 2015.
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Affiliation(s)
- Rémy Masson
- Lyon Neuroscience Research Center (CRNL), INSERM UMRS 1028, CNRS UMR 5292, Université Claude Bernard Lyon 1, Université de Lyon, Lyon, France.
| | - Geneviève Demarquay
- Lyon Neuroscience Research Center (CRNL), INSERM UMRS 1028, CNRS UMR 5292, Université Claude Bernard Lyon 1, Université de Lyon, Lyon, France
- Neurological Hospital Pierre Wertheimer, Functional Neurology and Epilepsy Department, Hospices Civils de Lyon and Université Claude Bernard Lyon 1, Université de Lyon, Lyon, France
| | - David Meunier
- Lyon Neuroscience Research Center (CRNL), INSERM UMRS 1028, CNRS UMR 5292, Université Claude Bernard Lyon 1, Université de Lyon, Lyon, France
| | - Yohana Lévêque
- Lyon Neuroscience Research Center (CRNL), INSERM UMRS 1028, CNRS UMR 5292, Université Claude Bernard Lyon 1, Université de Lyon, Lyon, France
| | - Salem Hannoun
- Nehme and Therese Tohme Multiple Sclerosis Center, American University of Beirut Medical Center, Beirut, Lebanon
| | - Aurélie Bidet-Caulet
- Lyon Neuroscience Research Center (CRNL), INSERM UMRS 1028, CNRS UMR 5292, Université Claude Bernard Lyon 1, Université de Lyon, Lyon, France
| | - Anne Caclin
- Lyon Neuroscience Research Center (CRNL), INSERM UMRS 1028, CNRS UMR 5292, Université Claude Bernard Lyon 1, Université de Lyon, Lyon, France
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182
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Gyger L, Ramponi C, Mall JF, Swierkosz-Lenart K, Stoyanov D, Lutti A, von Gunten A, Kherif F, Draganski B. Temporal trajectory of brain tissue property changes induced by electroconvulsive therapy. Neuroimage 2021; 232:117895. [PMID: 33617994 DOI: 10.1016/j.neuroimage.2021.117895] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 12/31/2020] [Accepted: 02/16/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND After more than eight decades of electroconvulsive therapy (ECT) for pharmaco-resistant depression, the mechanisms governing its anti-depressant effects remain poorly understood. Computational anatomy studies using longitudinal T1-weighted magnetic resonance imaging (MRI) data have demonstrated ECT effects on hippocampus volume and cortical thickness, but they lack the interpretational specificity about underlying neurobiological processes. METHODS We sought to fill in the gap of knowledge by acquiring quantitative MRI indicative for brain's myelin, iron and tissue water content at multiple time-points before, during and after ECT treatment. We adapted established tools for longitudinal spatial registration of MRI data to the relaxometry-based multi-parameter maps aiming to preserve the initial total signal amount and introduced a dedicated multivariate analytical framework. RESULTS The whole-brain voxel-based analysis based on a multivariate general linear model showed that there is no brain tissue oedema contributing to the predicted ECT-induced hippocampus volume increase neither in the short, nor in the long-term observations. Improvements in depression symptom severity over time were associated with changes in both volume estimates and brain tissue properties expanding beyond mesial temporal lobe structures to anterior cingulate cortex, precuneus and striatum. CONCLUSION The obtained results stemming from multi-contrast MRI quantitative data provided a fingerprint of ECT-induced brain tissue changes over time that are contrasted against the background of established morphometry findings. The introduced data processing and statistical testing algorithms provided a reliable analytical framework for longitudinal multi-parameter brain maps. The results, particularly the evidence of lack of ECT impact on brain tissue water, should be considered preliminary considering the small sample size of the study.
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183
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Hyung WSW, Kang J, Kim J, Lee S, Youn H, Ham BJ, Han C, Suh S, Han CE, Jeong HG. Cerebral amyloid accumulation is associated with distinct structural and functional alterations in the brain of depressed elders with mild cognitive impairment. J Affect Disord 2021; 281:459-466. [PMID: 33360748 DOI: 10.1016/j.jad.2020.12.049] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Revised: 12/03/2020] [Accepted: 12/11/2020] [Indexed: 12/31/2022]
Abstract
BACKGROUND Elderly patients with late-life depression (LLD) often report mild cognitive impairment (MCI), so Alzheimer's disease (AD) is hard to identify in these patients. We aimed to identify the structural and functional differences between prodromal AD and LLD-related MCI. METHODS We performed voxel-based morphometry and functional connectivity (FC) analyses in elderly patients with both LLD and MCI to compare alterations between those with cerebral amyloidopathy and those without. We subdivided patients into subthreshold depression (STD) and major depressive disorder (MDD) groups. Using florbetaben positron emission tomography (PET), we compared volume and connectivity between healthy controls and four STD and MDD groups with or without amyloid deposition(A): STD-MCI-A(+), MDD-MCI-A(+), STD-MCI-A(-), and MDD-MCI-A(-). RESULTS Subjects with MDD or amyloid deposition showed greater volume reduction in the left middle temporal gyrus. MDD groups had lower FC than STD groups in the frontal, cortical, and limbic areas. The STD-MCI-A(+) group showed greater FC reduction than the MDD-MCI-A(-) and STD-MCI-A(-) groups, particularly in the hippocampus, parahippocampus, and frontal and temporal cortices. The functional differences associated with amyloid plaques were more evident in the STD group than in the MDD group. LIMITATIONS Limitations include disproportional sex ratios, inability to determine the longitudinal effects of amyloidopathy in large populations. CONCLUSIONS Regional gray matter loss and alterations in brain networks may reflect impairments caused by amyloid deposition and depression. Such changes may facilitate the detection of prodromal AD in elderly patients with both depression and cognitive dysfunction, allowing earlier intervention and more appropriate treatment.
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Affiliation(s)
- Won Seok William Hyung
- Department of Psychiatry, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - June Kang
- Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea
| | - Junhyung Kim
- Department of Psychiatry, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Suji Lee
- Department of Biomedical Sciences, Korea University Graduate School, Seoul, Republic of Korea
| | - HyunChul Youn
- Department of Psychiatry, Soonchunhyang University Bucheon Hospital, Bucheon, Republic of Korea
| | - Byung-Joo Ham
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Changsu Han
- Department of Psychiatry, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Sangil Suh
- Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Cheol E Han
- Department of Electronics and Information Engineering, Korea University, Sejong, Republic of Korea
| | - Hyun-Ghang Jeong
- Department of Psychiatry, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea; Department of Biomedical Sciences, Korea University Graduate School, Seoul, Republic of Korea.
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184
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Yu Q, King AP, Yoon C, Liberzon I, Schaefer SM, Davidson RJ, Kitayama S. Interdependent self-construal predicts increased gray matter volume of scene processing regions in the brain. Biol Psychol 2021; 161:108050. [PMID: 33592270 DOI: 10.1016/j.biopsycho.2021.108050] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Revised: 02/08/2021] [Accepted: 02/09/2021] [Indexed: 12/21/2022]
Abstract
Interdependent self-construal (SC) is thought to lead to a more holistic cognitive style that emphasizes the processing of the background scene of a focal object. At present, little is known about whether the structural properties of the brain might underlie this functional relationship. Here, we examined the gray matter (GM) volume of three cortical regions involved in scene processing -- a cornerstone of contextual processing. Study 1 tested 78 European American non-student adults and found that interdependent (vs. independent) SC predicts higher GM volume in the parahippocampal place area (PPA), one of the three target regions. Testing both European American and East Asian college students (total N = 126), Study 2 replicated this association. Moreover, the GM volume of all the three target regions was greater for East Asians than for European Americans. Our findings suggest that there is a structural neural underpinning for the cultural variation in cognitive style.
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185
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Pirlich M, Höfer C, Weise CM, Stockert A, Thöne-Otto A, Garthe A, Schob S, Classen J, Hoffmann KT, Saur D. Hippocampal gray matter volume in the long-term course after transient global amnesia. Neuroimage Clin 2021; 30:102586. [PMID: 33621769 PMCID: PMC7907892 DOI: 10.1016/j.nicl.2021.102586] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 01/29/2021] [Accepted: 02/01/2021] [Indexed: 12/03/2022]
Abstract
No substantial hippocampus-dependent memory deficits in the long-term course after transient global amnesia. Greater hippocampal gray matter volume in patients with transient global amnesia compared to healthy controls in the long-term course. Transient global amnesia might trigger neuronal and/or non-neuronal mechanisms in the hippocampus resulting in an increase of grey matter rather than atrophy.
Objective In this retrospective, cross-sectional study we aimed to examine long-term memory deficits and gray matter volumes (GMV) in the hippocampus after transient global amnesia (TGA). Methods 20 patients with a history of TGA (TGA+, mean 6.5 years after TGA) and 20 age-matched healthy controls (TGA-) underwent neurocognitive assessment (i.e. Mini-Mental State Examination (MMSE), visuospatial, verbal and episodic autobiographical memory and visuospatial learning/navigation [“human water maze”]) in combination with structural cerebral MRI. Voxel-based morphometry (VBM) was used to detect GMV in the hippocampus in TGA+ versus TGA-. Results Besides slight differences in MMSE and visuo-spatial learning/navigation measured with a human water maze in TGA+ vs. TGA-, no other tests of visuo-spatial, verbal and autobiographical long-term memory differed between groups. VBM analyses yielded a statistically significant difference in bilateral hippocampal GMV with TGA+ compared to TGA- showing greater GMV in a region corresponding to bilateral CA1. However, none of the hippocampus-dependent cognitive measures correlated with hippocampal GMV. Conclusion In the long-term course after TGA, only subtle neurocognitive deficits without microstructural damage of the hippocampus could be detected. Greater GMV in bilateral hippocampus in TGA+ vs. TGA- may indicate that TGA triggers hippocampal GMV increase rather than atrophy.
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Affiliation(s)
- Mandy Pirlich
- Department of Neurology (M.P., C.H., C.M.W., A.S., J.C., D.S.), Department of Neuroradiology (S.S., K.T.H.) and Department of Cognitive Neurology (A.T.O.), University of Leipzig Medical Center, Leipzig, Germany, German Center for Neurodegenerative Diseases, Dresden (A.G.), Germany
| | - Cathleen Höfer
- Department of Neurology (M.P., C.H., C.M.W., A.S., J.C., D.S.), Department of Neuroradiology (S.S., K.T.H.) and Department of Cognitive Neurology (A.T.O.), University of Leipzig Medical Center, Leipzig, Germany, German Center for Neurodegenerative Diseases, Dresden (A.G.), Germany
| | - Christopher M Weise
- Department of Neurology, University of Halle Medical Center, Halle, Germany; Department of Neurology (M.P., C.H., C.M.W., A.S., J.C., D.S.), Department of Neuroradiology (S.S., K.T.H.) and Department of Cognitive Neurology (A.T.O.), University of Leipzig Medical Center, Leipzig, Germany, German Center for Neurodegenerative Diseases, Dresden (A.G.), Germany
| | - Anika Stockert
- Department of Neurology (M.P., C.H., C.M.W., A.S., J.C., D.S.), Department of Neuroradiology (S.S., K.T.H.) and Department of Cognitive Neurology (A.T.O.), University of Leipzig Medical Center, Leipzig, Germany, German Center for Neurodegenerative Diseases, Dresden (A.G.), Germany
| | - Angelika Thöne-Otto
- Department of Neurology (M.P., C.H., C.M.W., A.S., J.C., D.S.), Department of Neuroradiology (S.S., K.T.H.) and Department of Cognitive Neurology (A.T.O.), University of Leipzig Medical Center, Leipzig, Germany, German Center for Neurodegenerative Diseases, Dresden (A.G.), Germany
| | - Alexander Garthe
- Department of Neurology (M.P., C.H., C.M.W., A.S., J.C., D.S.), Department of Neuroradiology (S.S., K.T.H.) and Department of Cognitive Neurology (A.T.O.), University of Leipzig Medical Center, Leipzig, Germany, German Center for Neurodegenerative Diseases, Dresden (A.G.), Germany
| | - Stefan Schob
- Department of Neurology (M.P., C.H., C.M.W., A.S., J.C., D.S.), Department of Neuroradiology (S.S., K.T.H.) and Department of Cognitive Neurology (A.T.O.), University of Leipzig Medical Center, Leipzig, Germany, German Center for Neurodegenerative Diseases, Dresden (A.G.), Germany
| | - Joseph Classen
- Department of Neurology (M.P., C.H., C.M.W., A.S., J.C., D.S.), Department of Neuroradiology (S.S., K.T.H.) and Department of Cognitive Neurology (A.T.O.), University of Leipzig Medical Center, Leipzig, Germany, German Center for Neurodegenerative Diseases, Dresden (A.G.), Germany
| | - Karl-Titus Hoffmann
- Department of Neurology (M.P., C.H., C.M.W., A.S., J.C., D.S.), Department of Neuroradiology (S.S., K.T.H.) and Department of Cognitive Neurology (A.T.O.), University of Leipzig Medical Center, Leipzig, Germany, German Center for Neurodegenerative Diseases, Dresden (A.G.), Germany
| | - Dorothee Saur
- Department of Neurology (M.P., C.H., C.M.W., A.S., J.C., D.S.), Department of Neuroradiology (S.S., K.T.H.) and Department of Cognitive Neurology (A.T.O.), University of Leipzig Medical Center, Leipzig, Germany, German Center for Neurodegenerative Diseases, Dresden (A.G.), Germany.
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186
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Klobusiakova P, Mekyska J, Brabenec L, Galaz Z, Zvoncak V, Mucha J, Rapcsak SZ, Rektorova I. Articulatory network reorganization in Parkinson's disease as assessed by multimodal MRI and acoustic measures. Parkinsonism Relat Disord 2021; 84:122-128. [PMID: 33609963 DOI: 10.1016/j.parkreldis.2021.02.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 01/28/2021] [Accepted: 02/05/2021] [Indexed: 10/22/2022]
Abstract
INTRODUCTION Hypokinetic dysarthria (HD) is common in Parkinson's disease (PD). Our objective was to evaluate articulatory networks and their reorganization due to PD pathology in individuals without overt speech impairment using a multimodal MRI protocol and acoustic analysis of speech. METHODS A total of 34 PD patients with no subjective HD complaints and 25 age-matched healthy controls (HC) underwent speech task recordings, structural MRI, and reading task-induced and resting-state fMRI. Grey matter probability maps, task-induced activations, and resting-state functional connectivity within the regions engaged in speech production (ROIs) were assessed and compared between groups. Correlation with acoustic parameters was also performed. RESULTS PD patients as compared Tto HC displayed temporal decreases in speech loudness which were related to BOLD signal increases in the right-sided regions of the dorsal language pathway/articulatory network. Among those regions, activation of the right anterior cingulate was increased in PD as compared to HC. We also found bilateral posterior superior temporal gyrus (STG) GM loss in PD as compared to HC that was strongly associated with diadochokinetic (DDK) irregularity in the PD group. Task-induced activations of the left STG were increased in PD as compared to HC and were related to the DDK rate control. CONCLUSIONS The results provide insight into the neural correlates of speech production control and distinct articulatory network reorganization in PD apparent already in patients without subjective speech impairment.
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Affiliation(s)
- Patricia Klobusiakova
- Applied Neuroscience Research Group, Central European Institute of Technology - CEITEC, Masaryk University, Brno, Czech Republic; Faculty of Medicine, Masaryk University, Brno, Czech Republic; Surgeon General Office of the Slovak Armed Forces, Ružomberok, Slovak Republic
| | - Jiri Mekyska
- Department of Telecommunications, Brno University of Technology, Brno, Czech Republic
| | - Lubos Brabenec
- Applied Neuroscience Research Group, Central European Institute of Technology - CEITEC, Masaryk University, Brno, Czech Republic
| | - Zoltan Galaz
- Department of Telecommunications, Brno University of Technology, Brno, Czech Republic
| | - Vojtech Zvoncak
- Department of Telecommunications, Brno University of Technology, Brno, Czech Republic
| | - Jan Mucha
- Department of Telecommunications, Brno University of Technology, Brno, Czech Republic
| | - Steven Z Rapcsak
- Department of Neurology, College of Medicine, University of Arizona, Tucson, USA
| | - Irena Rektorova
- Applied Neuroscience Research Group, Central European Institute of Technology - CEITEC, Masaryk University, Brno, Czech Republic; First Department of Neurology, Faculty of Medicine and St. Anne's University Hospital, Masaryk University, Brno, Czech Republic.
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187
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Zhu Q, Chen W, Cui Y, Wu J, Shu L, Sun X, Qin Z, Tang W, Gao T, Xu Q, Jiang CY, Liu J, Du X. Structural and Functional Changes in the Cerebellum and Brainstem in Patients with Benign Paroxysmal Positional Vertigo. Cerebellum 2021; 20:804-809. [PMID: 33547587 DOI: 10.1007/s12311-021-01237-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/25/2021] [Indexed: 01/04/2023]
Abstract
Benign paroxysmal positional vertigo (BPPV) is one of the most common peripheral vestibular diseases. Since the peripheral vestibular system connects with the cerebellum via the brainstem, repeated episodic vertigo may result in progressive structural and functional changes in the cerebellum and brainstem. In the present work, voxel-based morphometry (VBM) of T1-weighted images and resting-state functional magnetic resonance imaging (fMRI) in 32 patients with BPPV and 32 matched healthy controls were used to assess cerebellar and brainstem anatomical and spontaneous resting-state brain activity alterations associated with BPPV. We used a spatially unbiased infratentorial template toolbox in combination with VBM to analyze cerebellar and brainstem gray matter volume (GMV), fractional amplitude of low-frequency fluctuations (fALFF), and regional homogeneity (ReHo). Patients with BPPV showed decreased GMV in the right cerebellum posterior lobe/cerebellar tonsil extending to the cerebellum anterior lobe and pons relative to healthy controls. BPPV patients also exhibited significantly higher fALFF values in the right pons and left pons and higher ReHo values in the left cerebellum posterior lobe/Crus2 than the controls. Furthermore, the fALFF z-scores in the pons were positively correlated with the duration of vertigo at baseline and dizziness visual analog scale scores 1 week after canalith repositioning procedures (CRPs). BPPV patients exhibited structural and functional changes in the cerebellum and pons, which may reflect the adaptation and plasticity of these anatomical structures after repeated attacks of episodic vertigo. These results indicate that the changes in pons function may be closely related to residual dizziness after CRPs.
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Affiliation(s)
- Qian Zhu
- Shanghai Key Laboratory of Magnetic Resonance and Department of Physics, School of Physics and Materials Science, East China Normal University, Shanghai, 200062, China
| | - Wei Chen
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.,Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
| | - Yangyang Cui
- Shanghai Key Laboratory of Magnetic Resonance and Department of Physics, School of Physics and Materials Science, East China Normal University, Shanghai, 200062, China
| | - Jing Wu
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.,Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
| | - Liang Shu
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.,Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
| | - Xuhong Sun
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.,Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
| | - Zhaoxia Qin
- Shanghai Key Laboratory of Magnetic Resonance and Department of Physics, School of Physics and Materials Science, East China Normal University, Shanghai, 200062, China
| | - Wei Tang
- Shanghai Key Laboratory of Magnetic Resonance and Department of Physics, School of Physics and Materials Science, East China Normal University, Shanghai, 200062, China
| | - Tingting Gao
- Shanghai Key Laboratory of Magnetic Resonance and Department of Physics, School of Physics and Materials Science, East China Normal University, Shanghai, 200062, China
| | - Qian Xu
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.,Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
| | - Chun-Yan Jiang
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.,Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
| | - Jianren Liu
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China. .,Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
| | - Xiaoxia Du
- Shanghai Key Laboratory of Magnetic Resonance and Department of Physics, School of Physics and Materials Science, East China Normal University, Shanghai, 200062, China.
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188
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Wang Y, Gao D, Cui B, Yu B, Fang J, Wang Z, Tang R, Cao Z, Song W, Song P, Li S. Increased grey matter volume and associated resting-state functional connectivity in chronic spontaneous urticaria: A structural and functional MRI study. J Neuroradiol 2021; 48:236-42. [PMID: 33549611 DOI: 10.1016/j.neurad.2021.01.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 12/28/2020] [Accepted: 01/26/2021] [Indexed: 01/13/2023]
Abstract
BACKGROUND AND PURPOSE Chronic itch is one of the most common irritating sensations, yet its mechanisms have not been fully elucidated. Although some studies have revealed relationships between itching and brain function, the structural changes in the brain induced by chronic itching, such as those accompanying chronic spontaneous urticaria (CSU), remain unclear. In this study, we aimed to explore the potential changes in brain structure and the associated functional circuitry in CSU patients to generate insights to aid chronic itch management. METHODS Forty CSU patients and forty healthy controls (HCs) were recruited. Seven-day urticaria activity score (UAS7) values were collected to evaluate clinical symptoms. Voxel-based morphometry (VBM) and seed-based resting-state functional connectivity (rs-FC) analysis were used to assess structural changes in the brain and associated changes in functional circuitry. RESULTS Compared with HCs, CSU patients had significantly increased grey matter (GM) volume in the right premotor cortex, left fusiform cortex, and cerebellum. UAS7 values were positively associated with GM volume in the left fusiform cortex. In CSU patients relative to HCs, the left fusiform cortex as extracted by VBM analysis demonstrated decreased functional connectivity with the right orbitofrontal cortex, medial prefrontal cortex (mPFC), premotor cortex, primary motor cortex (MI), and cerebellum and increased functional connectivity with the right posterior insular cortex, primary somatosensory cortex (SI), and secondary somatosensory cortex (SII). The left cerebellum as extracted from VBM analysis demonstrated decreased functional connectivity with the right supplementary motor area (SMA) and MI in CSU patients relative to HCs. CONCLUSIONS Our findings indicate that patients suffering from chronic itching conditions, such as CSU, are likely to demonstrate altered GM volume in some brain regions. These changes may affect not only the sensorimotor area but also brain regions associated with cognitive function.
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189
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Barrière DA, Ella A, Szeremeta F, Adriaensen H, Même W, Chaillou E, Migaud M, Même S, Lévy F, Keller M. Brain orchestration of pregnancy and maternal behavior in mice: A longitudinal morphometric study. Neuroimage 2021; 230:117776. [PMID: 33516895 DOI: 10.1016/j.neuroimage.2021.117776] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 01/08/2021] [Accepted: 01/10/2021] [Indexed: 01/10/2023] Open
Abstract
Reproduction induces changes within the brain to prepare for gestation and motherhood. However, the dynamic of these central changes and their relationships with the development of maternal behavior remain poorly understood. Here, we describe a longitudinal morphometric neuroimaging study in female mice between pre-gestation and weaning, using new magnetic resonance imaging (MRI) resources comprising a high-resolution brain template, its associated tissue priors (60-µm isotropic resolution) and a corresponding mouse brain atlas (1320 regions of interest). Using these tools, we observed transient hypertrophies not only within key regions controlling gestation and maternal behavior (medial preoptic area, bed nucleus of the stria terminalis), but also in the amygdala, caudate nucleus and hippocampus. Additionally, unlike females exhibiting lower levels of maternal care, highly maternal females developed transient hypertrophies in somatosensory, entorhinal and retrosplenial cortices among other regions. Therefore, coordinated and transient brain modifications associated with maternal performance occurred during gestation and lactation.
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190
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Guadalupe T, Kong XZ, Akkermans SEA, Fisher SE, Francks C. Relations between hemispheric asymmetries of grey matter and auditory processing of spoken syllables in 281 healthy adults. Brain Struct Funct 2021; 227:561-572. [PMID: 33502621 PMCID: PMC8844177 DOI: 10.1007/s00429-021-02220-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 01/14/2021] [Indexed: 11/29/2022]
Abstract
Most people have a right-ear advantage for the perception of spoken syllables, consistent with left hemisphere dominance for speech processing. However, there is considerable variation, with some people showing left-ear advantage. The extent to which this variation is reflected in brain structure remains unclear. We tested for relations between hemispheric asymmetries of auditory processing and of grey matter in 281 adults, using dichotic listening and voxel-based morphometry. This was the largest study of this issue to date. Per-voxel asymmetry indexes were derived for each participant following registration of brain magnetic resonance images to a template that was symmetrized. The asymmetry index derived from dichotic listening was related to grey matter asymmetry in clusters of voxels corresponding to the amygdala and cerebellum lobule VI. There was also a smaller, non-significant cluster in the posterior superior temporal gyrus, a region of auditory cortex. These findings contribute to the mapping of asymmetrical structure–function links in the human brain and suggest that subcortical structures should be investigated in relation to hemispheric dominance for speech processing, in addition to auditory cortex.
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Affiliation(s)
- Tulio Guadalupe
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Wundtlaan 1, Nijmegen, The Netherlands
| | - Xiang-Zhen Kong
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Wundtlaan 1, Nijmegen, The Netherlands.,Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China
| | - Sophie E A Akkermans
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.,Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Wundtlaan 1, 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, Wundtlaan 1, Nijmegen, The Netherlands. .,Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.
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191
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Liloia D, Brasso C, Cauda F, Mancuso L, Nani A, Manuello J, Costa T, Duca S, Rocca P. Updating and characterizing neuroanatomical markers in high-risk subjects, recently diagnosed and chronic patients with schizophrenia: A revised coordinate-based meta-analysis. Neurosci Biobehav Rev 2021; 123:83-103. [PMID: 33497790 DOI: 10.1016/j.neubiorev.2021.01.010] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 01/07/2021] [Accepted: 01/15/2021] [Indexed: 01/10/2023]
Abstract
Characterizing neuroanatomical markers of different stages of schizophrenia (SZ) to assess pathophysiological models of how the disorder develops is an important target for the clinical practice. We performed a meta-analysis of voxel-based morphometry studies of genetic and clinical high-risk subjects (g-/c-HR), recently diagnosed (RDSZ) and chronic SZ patients (ChSZ). We quantified gray matter (GM) changes associated with these four conditions and compared them with contrast and conjunctional data. We performed the behavioral analysis and networks decomposition of alterations to obtain their functional characterization. Results reveal a cortical-subcortical, left-to-right homotopic progression of GM loss. The right anterior cingulate is the only altered region found altered among c-HR, RDSZ and ChSZ. Contrast analyses show left-lateralized insular, amygdalar and parahippocampal GM reduction in RDSZ, which appears bilateral in ChSZ. Functional decomposition shows involvement of the salience network, with an enlargement of the sensorimotor network in RDSZ and the thalamus-basal nuclei network in ChSZ. These findings support the current neuroprogressive models of SZ and integrate this deterioration with the clinical evolution of the disease.
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Affiliation(s)
- Donato Liloia
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Claudio Brasso
- Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.
| | - Franco Cauda
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy; Neuroscience Institute of Turin (NIT), University of Turin, Turin, Italy.
| | - Lorenzo Mancuso
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Andrea Nani
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Jordi Manuello
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Tommaso Costa
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy; Neuroscience Institute of Turin (NIT), University of Turin, Turin, Italy.
| | - Sergio Duca
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Paola Rocca
- Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy; Neuroscience Institute of Turin (NIT), University of Turin, Turin, Italy.
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Osimo SA, Piretti L, Ionta S, Rumiati RI, Aiello M. The neural substrates of subliminal attentional bias and reduced inhibition in individuals with a higher BMI: A VBM and resting state connectivity study. Neuroimage 2021; 229:117725. [PMID: 33484850 DOI: 10.1016/j.neuroimage.2021.117725] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 12/25/2020] [Accepted: 12/30/2020] [Indexed: 11/16/2022] Open
Abstract
Previous studies have shown that individuals with overweight and obesity may experience attentional biases and reduced inhibition toward food stimuli. However, evidence is scarce as to whether the attentional bias is present even before stimuli are consciously recognized. Moreover, it is not known whether or not differences in the underlying brain morphometry and connectivity may co-occur with attentional bias and impulsivity towards food in individuals with different BMIs. To address these questions, we asked fifty-three participants (age M = 23.2, SD = 2.9, 13 males) to perform a breaking Continuous Flash Suppression (bCFS) task to measure the speed of subliminal processing, and a Go/No-Go task to measure inhibition, using food and nonfood stimuli. We collected whole-brain structural magnetic resonance images and functional resting-state activity. A higher BMI predicted slower subliminal processing of images independently of the type of stimulus (food or nonfood, p = 0.001, εp2 = 0.17). This higher threshold of awareness is linked to lower grey matter (GM) density of key areas involved in awareness, high-level sensory integration, and reward, such as the orbitofrontal cortex [t = 4.55, p = 0.003], the right temporal areas [t = 4.18, p = 0.002], the operculum and insula [t = 4.14, p = 0.005] only in individuals with a higher BMI. In addition, individuals with a higher BMI exhibit a specific reduced inhibition to food in the Go/No-Go task [p = 0.02, εp2 = 0.02], which is associated with lower GM density in reward brain regions [orbital gyrus, t = 4.97, p = 0.005, and parietal operculum, t = 5.14, p < 0.001] and lower resting-state connectivity of the orbital gyrus to visual areas [fusiform gyrus, t = -4.64, p < 0.001 and bilateral occipital cortex, t = -4.51, p < 0.001 and t = -4.34, p < 0.001]. Therefore, a higher BMI is predictive of non food-specific slower visual subliminal processing, which is linked to morphological alterations of key areas involved in awareness, high-level sensory integration, and reward. At a late, conscious stage of visual processing a higher BMI is associated with a specific bias towards food and with lower GM density in reward brain regions. Finally, independently of BMI, volumetric variations and connectivity patterns in different brain regions are associated with variability in bCFS and Go/No-Go performances.
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Affiliation(s)
- S A Osimo
- Cognitive Neuroscience Department, SISSA, via Bonomea 265, 34136 Trieste, Italy.
| | - L Piretti
- Cognitive Neuroscience Department, SISSA, via Bonomea 265, 34136 Trieste, Italy; Department of Psychology and Cognitive Sciences, University of Trento, corso Bettini 84, 38068 Rovereto, Italy; Fondazione ONLUS Marica De Vincenzi, via Alessandro Manzoni, 11, 38122 Rovereto, Italy
| | - S Ionta
- Sensory-Motor Lab (SeMoLa), Department of Ophthalmology, University of Lausanne, Jules Gonin Eye Hospital, Fondation Asile des Aveugles, Av. de France 15, 1002 Lausanne, Switzerland
| | - R I Rumiati
- Cognitive Neuroscience Department, SISSA, via Bonomea 265, 34136 Trieste, Italy
| | - M Aiello
- Cognitive Neuroscience Department, SISSA, via Bonomea 265, 34136 Trieste, Italy
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Burhanoglu BB, Dinçer G, Yilmaz A, Ozalay O, Uslu O, Unaran E, Kitis O, Gonul AS. Brain areas associated with resilience to depression in high-risk young women. Brain Struct Funct 2021; 226:875-88. [PMID: 33458784 DOI: 10.1007/s00429-021-02215-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Accepted: 01/05/2021] [Indexed: 10/22/2022]
Abstract
Previous structural brain-imaging studies in first-degree relatives of depressed patients showed alterations that are generally accepted as vulnerability markers for depression. However, only half of the relatives had depression at follow-up, while the other half did not. The aim of this study was to identify the brain areas associated with resilience to depression in high-risk subjects with familial depression. We recruited 59 young women with a history of depressed mothers. Twenty-nine of them (high-risk group [HRG]) had no depression history, while 30 (depressive group) had at least 1 depressive episode in adolescence. The brain structures of the groups were compared through voxel-based morphometry and analysis of cortical thickness. Individual amygdala nuclei and hippocampal subfield volumes were measured. The analysis showed larger amygdala volume, thicker subcallosal cortex and bilateral insula in the women in the HRG compared with those in the depressive group. In addition, we detected more gray matter in the left temporal pole in the HRG. The larger gray matter volume and increased cortical thickness in the key hub regions of the salience network (amygdala and insula) and structurally connected regions in the limbic network (subcallosal area and temporal pole) might prevent women in the HRG from converting to depression.
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194
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Weitnauer L, Frisch S, Melie-Garcia L, Preisig M, Schroeter ML, Sajfutdinow I, Kherif F, Draganski B. Mapping grip force to motor networks. Neuroimage 2021; 229:117735. [PMID: 33454401 DOI: 10.1016/j.neuroimage.2021.117735] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 12/30/2020] [Accepted: 01/04/2021] [Indexed: 11/18/2022] Open
Abstract
AIM There is ongoing debate about the role of cortical and subcortical brain areas in force modulation. In a whole-brain approach, we sought to investigate the anatomical basis of grip force whilst acknowledging interindividual differences in connectivity patterns. We tested if brain lesion mapping in patients with unilateral motor deficits can inform whole-brain structural connectivity analysis in healthy controls to uncover the networks underlying grip force. METHODS Using magnetic resonance imaging (MRI) and whole-brain voxel-based morphometry in chronic stroke patients (n=55) and healthy controls (n=67), we identified the brain regions in both grey and white matter significantly associated with grip force strength. The resulting statistical parametric maps (SPMs) provided seed areas for whole-brain structural covariance analysis in a large-scale community dwelling cohort (n=977) that included beyond volume estimates, parameter maps sensitive to myelin, iron and tissue water content. RESULTS The SPMs showed symmetrical bilateral clusters of correlation between upper limb motor performance, basal ganglia, posterior insula and cortico-spinal tract. The covariance analysis with the seed areas derived from the SPMs demonstrated a widespread anatomical pattern of brain volume and tissue properties, including both cortical, subcortical nodes of motor networks and sensorimotor areas projections. CONCLUSION We interpret our covariance findings as a biological signature of brain networks implicated in grip force. The data-driven definition of seed areas obtained from chronic stroke patients showed overlapping structural covariance patterns within cortico-subcortical motor networks across different tissue property estimates. This cumulative evidence lends face validity of our findings and their biological plausibility.
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Affiliation(s)
- Ladina Weitnauer
- LREN, Department of clinical neurosciences - CHUV, University Lausanne, Switzerland
| | - Stefan Frisch
- Max-Planck Institute for Human Brain and Cognitive Sciences, Leipzig, German; Department of Gerontopsychiatry, Psychosomatic Medicine, and Psychotherapy, Pfalzklinikum, Klingenmünster, Germany; Institute of Psychology, Goethe-University, Frankfurt am Main, Germany
| | - Lester Melie-Garcia
- LREN, Department of clinical neurosciences - CHUV, University Lausanne, Switzerland
| | - Martin Preisig
- Department of psychiatry - CHUV, University Lausanne, Switzerland
| | | | - Ines Sajfutdinow
- Day Clinic for Cognitive Neurology, Universitätsklinikum Leipzig, Leipzig, Germany
| | - Ferath Kherif
- LREN, Department of clinical neurosciences - CHUV, University Lausanne, Switzerland
| | - Bogdan Draganski
- LREN, Department of clinical neurosciences - CHUV, University Lausanne, Switzerland; Max-Planck Institute for Human Brain and Cognitive Sciences, Leipzig, German.
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195
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Han SH, Pyun JM, Yeo S, Kang DW, Jeong HT, Kang SW, Kim S, Youn YC. Differences between memory encoding and retrieval failure in mild cognitive impairment: results from quantitative electroencephalography and magnetic resonance volumetry. Alzheimers Res Ther 2021; 13:3. [PMID: 33397486 PMCID: PMC7784298 DOI: 10.1186/s13195-020-00739-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 12/04/2020] [Indexed: 02/17/2023]
Abstract
BACKGROUND The memory impairments in mild cognitive impairment (MCI) can be classified into encoding (EF) and retrieval (RF) failure, which can be affected by underlying pathomechanism. We explored the differences structurally and functionally. METHODS We compared quantitative electroencephalography (qEEG) power spectra and connectivity between 87 MCI patients with EF and 78 MCI with RF using iSyncBrain® (iMediSync Inc., Republic of Korea) ( https://isyncbrain.com/ ). Voxel-based morphometric analysis of the gray matter (GM) in the MCI groups and 71 cognitive normal controls was also done using the Computational Anatomy Toolbox 12 ( http://www.neuro.uni-jena.de/cat/ ). RESULTS qEEG showed higher frontal theta and lower beta2 band power, and higher theta connectivity in the EF. There was no statistically significant difference in GM volume between the EF and RF. However, when compared to normal control, GM volume reductions due to EF in the left thalamus and bilateral hippocampi and reductions due to RF in the left thalamus, right superior frontal lobe, right superior temporal lobe, and right middle cingulum were observed (p < 0.05, family-wise error correction). CONCLUSIONS MCI differs functionally and structurally according to their specific memory impairments. The EF findings are structurally and functionally more consistent with the prodromal Alzheimer's disease stage than the RF findings. Since this study is a cross-sectional study, prospective follow-up studies are needed to investigate whether different types of memory impairments can predict the underlying pathology of amnestic MCI. Additionally, insufficient sample size may lead to ambiguous statistical findings in direct comparisons, and a larger patient cohort could more robustly identify differences in GM volume reductions between the EF and the RF group.
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Affiliation(s)
- Su-Hyun Han
- Department of Neurology, Chung-Ang University College of Medicine, 102, Heukseok-ro, Dongjak-gu, Seoul, 06973, Republic of Korea
| | - Jung-Min Pyun
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Soeun Yeo
- Department of Neurology, Chung-Ang University College of Medicine, 102, Heukseok-ro, Dongjak-gu, Seoul, 06973, Republic of Korea
| | | | - Ho Tae Jeong
- Department of Neurology, Chung-Ang University College of Medicine, 102, Heukseok-ro, Dongjak-gu, Seoul, 06973, Republic of Korea
| | - Seung Wan Kang
- iMediSync Inc., Seoul, Republic of Korea.
- Data Center for Korean EEG, College of Nursing, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
| | - SangYun Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Young Chul Youn
- Department of Neurology, Chung-Ang University College of Medicine, 102, Heukseok-ro, Dongjak-gu, Seoul, 06973, Republic of Korea.
- Department of Medical Informatics, Chung-Ang University College of Medicine, Seoul, Republic of Korea.
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196
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Jber M, Habibabadi JM, Sharifpour R, Marzbani H, Hassanpour M, Seyfi M, Mobarakeh NM, Keihani A, Hashemi-Fesharaki SS, Ay M, Nazem-Zadeh MR. Temporal and extratemporal atrophic manifestation of temporal lobe epilepsy using voxel-based morphometry and corticometry: clinical application in lateralization of epileptogenic zone. Neurol Sci 2021; 42:3305-3325. [PMID: 33389247 DOI: 10.1007/s10072-020-05003-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Accepted: 12/14/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND Advances in MRI acquisition and data processing have become important for revealing brain structural changes. Previous studies have reported widespread structural brain abnormalities and cortical thinning in patients with temporal lobe epilepsy (TLE), as the most common form of focal epilepsy. METHODS In this research, healthy control cases (n = 20) and patients with left TLE (n = 19) and right TLE (n = 14) were recruited, all underwent 3.0 T MRI with magnetization-prepared rapid gradient echo sequence to acquire T1-weighted images. Morphometric alterations in gray matter were identified using voxel-based morphometry (VBM). Volumetric alterations in subcortical structures and cortical thinning were also determined. RESULTS Patients with left TLE demonstrated more prevailing and widespread changes in subcortical volumes and cortical thickness than right TLE, mainly in the left hemisphere, compared to the healthy group. Both VBM analysis and subcortical volumetry detected significant hippocampal atrophy in ipsilateral compared to contralateral side in TLE group. In addition to hippocampus, subcortical volumetry found the thalamus and pallidum bilaterally vulnerable to the TLE. Furthermore, the TLE patients underwent cortical thinning beyond the temporal lobe, affecting gray matter cortices in frontal, parietal, and occipital lobes in the majority of patients, more prevalently for left TLE cases. Exploiting volume changes in individual patients in the hippocampus alone led to 63.6% sensitivity and 100% specificity for lateralization of TLE. CONCLUSION Alteration of gray matter volumes in subcortical regions and neocortical temporal structures and also cortical gray matter thickness were evidenced as common effects of epileptogenicity, as manifested by the majority of cases in this study.
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Affiliation(s)
- Majdi Jber
- Medical School, International Campus, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Roya Sharifpour
- Physics and Biomedical Engineering Department, Tehran University of Medical Sciences, Tehran, Iran
- Research Center for Molecular and Cellular Imaging, Advanced Medical Technologies and Equipment Institute (AMTEI), Tehran University of Medical Sciences, Tehran, Iran
| | - Hengameh Marzbani
- Department of Biomedical Engineering, Amirkabir University of Technology (AUT), Tehran, Iran
| | - Masoud Hassanpour
- Research Center for Molecular and Cellular Imaging, Advanced Medical Technologies and Equipment Institute (AMTEI), Tehran University of Medical Sciences, Tehran, Iran
| | - Milad Seyfi
- Physics and Biomedical Engineering Department, Tehran University of Medical Sciences, Tehran, Iran
- Research Center for Molecular and Cellular Imaging, Advanced Medical Technologies and Equipment Institute (AMTEI), Tehran University of Medical Sciences, Tehran, Iran
| | - Neda Mohammadi Mobarakeh
- Research Center for Molecular and Cellular Imaging, Advanced Medical Technologies and Equipment Institute (AMTEI), Tehran University of Medical Sciences, Tehran, Iran
| | - Ahmedreza Keihani
- Physics and Biomedical Engineering Department, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Mohammadreza Ay
- Physics and Biomedical Engineering Department, Tehran University of Medical Sciences, Tehran, Iran
- Research Center for Molecular and Cellular Imaging, Advanced Medical Technologies and Equipment Institute (AMTEI), Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad-Reza Nazem-Zadeh
- Physics and Biomedical Engineering Department, Tehran University of Medical Sciences, Tehran, Iran.
- Research Center for Molecular and Cellular Imaging, Advanced Medical Technologies and Equipment Institute (AMTEI), Tehran University of Medical Sciences, Tehran, Iran.
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197
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Zhang M, Bian Y. An analysis of the brain structures underlying the link between pathological Internet use and anxiety. Addict Behav 2021; 112:106632. [PMID: 32905867 DOI: 10.1016/j.addbeh.2020.106632] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2020] [Revised: 08/23/2020] [Accepted: 08/24/2020] [Indexed: 12/21/2022]
Abstract
Pathological Internet use (PIU) is associated with various maladaptive problems and is becoming increasingly common among adolescents. Anxiety has been discovered as an important predictor of PIU, with the neural basis underlying the link between these two variables remaining unclear. In this study, PIU variations, individual anxiety levels, and T1-weighted structural magnetic resonance images (MRI) were collected from 95 healthy male adolescents. Voxel-based morphometry (VBM) was then applied to identify the brain regions related to individual variations in PIU, with mediation analyses being conducted to explore the relationship between brain structure, anxiety, and PIU. The results revealed that the PIU tendency is positively correlated with regional grey matter density (rGMD) in the right inferior parietal lobe (IPL), which is known to be involved in inhibitory control. Furthermore, the mediation analysis revealed that the rGMD in the right IPL mediates the association between anxiety and PIU, which is consistent with the mood enhancement theory and the Interaction of Person-Affect-Cognition-Execution (I-PACE) model. This mediation model suggests that individuals with higher anxiety might be more likely to use the Internet, with the rGMD in the right IPL being where the underlying cognitive mechanism of the relationship between these two variables lies. This study's findings possess implications for society's understandings of the correlations between anxiety and PIU from a brain structural perspective, which may then help in preventing the progression of PIU among adolescents.
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198
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Hiraoka D, Nishitani S, Shimada K, Kasaba R, Fujisawa TX, Tomoda A. RETRACTED: Epigenetic modification of the oxytocin gene is associated with gray matter volume and trait empathy in mothers. Psychoneuroendocrinology 2021; 123:105026. [PMID: 33130408 DOI: 10.1016/j.psyneuen.2020.105026] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 09/16/2020] [Accepted: 10/16/2020] [Indexed: 10/23/2022]
Abstract
This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). The Editor has concluded that the acceptance of this article was partly based upon the positive advice of an unreliable reviewer report. The report was provided to the journal by a reviewer suggested by the authors, and there were inappropriate communications between the authors and reviewer during the peer-review process. The Editor has therefore concluded that the review was not appropriate or independent. This manipulation of the peer-review process represents a clear violation of the fundamentals of peer review, our publishing policies, and publishing ethics standards. Apologies are offered to the readers of the journal that this deception was not detected during the submission process.
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Affiliation(s)
- Daiki Hiraoka
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan; Japan Society for the Promotion of Science, Tokyo, Japan
| | - Shota Nishitani
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan; Division of Developmental Higher Brain Functions, United Graduate School of Child Development, University of Fukui, Fukui, Japan
| | - Koji Shimada
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan; Division of Developmental Higher Brain Functions, United Graduate School of Child Development, University of Fukui, Fukui, Japan; Biomedical Imaging Research Center, University of Fukui, Fukui, Japan
| | - Ryoko Kasaba
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, University of Fukui, Fukui, Japan
| | - Takashi X Fujisawa
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan; Division of Developmental Higher Brain Functions, United Graduate School of Child Development, University of Fukui, Fukui, Japan
| | - Akemi Tomoda
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan; Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui, Japan; Division of Developmental Higher Brain Functions, United Graduate School of Child Development, University of Fukui, Fukui, Japan.
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199
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Solana-Lavalle G, Rosas-Romero R. Classification of PPMI MRI scans with voxel-based morphometry and machine learning to assist in the diagnosis of Parkinson's disease. Comput Methods Programs Biomed 2021; 198:105793. [PMID: 33099263 DOI: 10.1016/j.cmpb.2020.105793] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 10/06/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND AND OBJECTIVES Qualitative and quantitative analyses of Magnetic Resonance Imaging (MRI) scans are carried out to study and understand Parkinson's Disease, the second most common neurodegenerative disorder in people at their 60's. Some quantitative analyses are based on the application of voxel-based morphometry (VBM) on magnetic resonance images to determine the regions of interest, within gray matter, where there is a loss of the nerve cells that generate dopamine. This loss of dopamine is indicative of Parkinson's disease. The purpose of this research is the introduction of a new method to classify the 3-D magnetic resonance scans of an individual, as an assisting tool for diagnosis of Parkinson's disease by using the largest MRI dataset (Parkinson's Progression Markers Initiative) from a population of patients with Parkinson's disease and control individuals. A contribution is that separate studies are conducted for men and women since gender plays a significant role within Neurobiology, which is demonstrated by the fact that men are more prone to Parkinson's disease than women are. METHODS Previous to classification, VBM is conducted on magnetic resonance images to detect the regions where features are extracted by using first- and second-order statistics methods. Furthermore, the number of features is considerably reduced by using feature selection techniques. Seven classifiers are used and we are conducting separate experiments for men and women. RESULTS The best detection performance achieved in men is 99.01% of accuracy, 99.35% of sensitivity, 100% of specificity, and 100% of precision. The best detection performance achieved in women is 96.97% of accuracy, 100% of sensitivity, 96.15% of specificity, and 97.22% of precision. During classification of magnetic resonance images, the corresponding computational complexity is reduced since few features are selected. CONCLUSIONS The proposed method provides high performance as an assisting tool in the diagnosis of Parkinson's disease, by conducting separate experiments in men and women. While previous works have focused their analysis to the striatum region of the brain (the largest nuclear complex of the basal ganglia), the proposed approach is based on analysis over the whole brain by looking for decreases of tissue thickness, with the consequence of finding other regions of interest such as the cortex.
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Affiliation(s)
- Gabriel Solana-Lavalle
- Department of Electrical and Computer Engineering, Universidad de las Américas-Puebla Santa Catarina Mártir, San Andrés Cholula, Puebla, 72810, México
| | - Roberto Rosas-Romero
- Department of Electrical and Computer Engineering, Universidad de las Américas-Puebla Santa Catarina Mártir, San Andrés Cholula, Puebla, 72810, México.
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200
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Liu C, Li D, Yang H, Li H, Xu Q, Zhou B, Hu C, Li C, Wang Y, Qiao Z, Jiang YH, Xu X. Altered striatum centered brain structures in SHANK3 deficient Chinese children with genotype and phenotype profiling. Prog Neurobiol 2020; 200:101985. [PMID: 33388374 PMCID: PMC8572121 DOI: 10.1016/j.pneurobio.2020.101985] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Revised: 12/15/2020] [Accepted: 12/27/2020] [Indexed: 12/01/2022]
Abstract
SHANK3 deficiency represents one of the most replicated monogenic risk factors for autism spectrum disorder (ASD) and SHANK3 caused ASD presents a unique opportunity to understand the underlying neuropathological mechanisms of ASD. In this study, genetic tests, comprehensive clinical and neurobehavioral evaluations, as well as multimodal structural MRI using voxel-based morphometry (VBM) and tract-based spatial statistics (TBSS) were conducted in SHANK3 group (N = 14 with SHANK3 defects), ASD controls (N = 26 with idiopathic ASD without SHANK3 defects) and typically developing (TD) controls (N = 32). Phenotypically, we reported several new features in Chinese SHANK3 deficient children including anteverted nares, sensory stimulation seeking, dental abnormalities and hematological problems. In SHANK3 group, VBM revealed decreased grey matter volumes mainly in dorsal striatum, amygdala, hippocampus and parahippocampal gyrus; TBSS demonstrated decreased fractional anisotropy in multiple tracts involving projection, association and commissural fibers, including middle cerebral peduncle, corpus callosum, superior longitudinal fasciculus, corona radiata, external and internal capsule, and posterior thalamic radiation, etc. We report that the disrupted striatum centered brain structures are associated with SHANK3 deficient children. Study of subjects with monogenic cause offer specific insights into the neuroimaging studies of ASD. The discovery may support a path for future functional connectivity studies to allow for more in-depth understandings of the abnormal neural circuits and the underlying neuropathological mechanisms for ASD.
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Affiliation(s)
- Chunxue Liu
- Department of Child Health Care, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, China
| | - Dongyun Li
- Department of Child Health Care, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, China
| | - Haowei Yang
- Department of Radiology, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, China
| | - Huiping Li
- Department of Child Health Care, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, China
| | - Qiong Xu
- Department of Child Health Care, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, China
| | - Bingrui Zhou
- Department of Child Health Care, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, China
| | - Chunchun Hu
- Department of Child Health Care, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, China
| | - Chunyang Li
- Department of Child Health Care, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, China
| | - Yi Wang
- Department of Child Health Care, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, China
| | - Zhongwei Qiao
- Department of Radiology, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, China.
| | - Yong-Hui Jiang
- Department of Genetics, Pediatrics and Neuroscience, Yale University School of Medicine, New Heaven CT 06520 USA.
| | - Xiu Xu
- Department of Child Health Care, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, China.
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