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Del Giacco AC, Morales AM, Jones SA, Barnes SJ, Nagel BJ. Ventral striatal-cingulate resting-state functional connectivity in healthy adolescents relates to later depression symptoms in adulthood. J Affect Disord 2024; 365:205-212. [PMID: 39134157 PMCID: PMC11438492 DOI: 10.1016/j.jad.2024.08.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 07/10/2024] [Accepted: 08/09/2024] [Indexed: 08/24/2024]
Abstract
BACKGROUND Depression is a significant public health concern. Identifying biopsychosocial risk factors for depression is important for developing targeted prevention. Studies have demonstrated that blunted striatal activation during reward processing is a risk factor for depression; however, few have prospectively examined whether adolescent reward-related resting-state functional connectivity (rsFC) predicts depression symptoms in adulthood and how this relates to known risk factors (e.g., childhood trauma). METHODS At baseline, 66 adolescents (mean age = 14.7, SD = 1.4, 68 % female) underwent rsFC magnetic resonance imaging and completed the Children's Depression Inventory (CDI). At follow-up (mean time between adolescent scan and adult follow-up = 10.1 years, SD = 1.6, mean adult age = 24.8 years, SD = 1.7), participants completed the Childhood Trauma Questionnaire (CTQ) and Beck Depression Inventory- Second Edition (BDI-2). Average rsFC was calculated between nodes in mesocorticolimbic reward circuitry: ventral striatum (VS), rostral anterior cingulate cortex (rACC), medial orbitofrontal cortex, and ventral tegmental area. Linear regressions assessed associations between rsFC, BDI-2, and CTQ, controlling for adolescent CDI, sex assigned at birth, and scan age (Bonferroni corrected). RESULTS Greater childhood trauma was associated with higher adulthood depression symptoms. Stronger VS-rACC rsFC during adolescence was associated with greater depression symptoms in adulthood and greater childhood trauma. LIMITATIONS The small sample size, limited depression severity, and seed-based approach are limitations. CONCLUSIONS The associations between adolescent striatal-cingulate rsFC and childhood trauma and adult depression symptoms suggest this connectivity may be an early neurobiological risk factor for depression and that early life experience plays an important role. Increased VS-rACC connectivity may represent an over-regulatory response on the striatum, commonly reported in depression, and warrants further investigation.
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Affiliation(s)
| | | | - Scott A Jones
- Department of Psychiatry, Oregon Health & Science University, USA
| | | | - Bonnie J Nagel
- Department of Psychiatry, Oregon Health & Science University, USA; Department of Behavioral Neuroscience, Oregon Health & Science University, USA
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2
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van Beest EH, Abdelwahab MAO, Cazemier JL, Baltira C, Maes MC, Peri BD, Self MW, Willuhn I, Roelfsema PR. The direct and indirect pathways of the basal ganglia antagonistically influence cortical activity and perceptual decisions. iScience 2024; 27:110753. [PMID: 39280625 PMCID: PMC11402218 DOI: 10.1016/j.isci.2024.110753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 02/19/2024] [Accepted: 08/13/2024] [Indexed: 09/18/2024] Open
Abstract
The striatum, the main input nucleus of the basal ganglia, receives topographically organized input from the cortex and gives rise to the direct and indirect output pathways, which have antagonistic effects on basal ganglia output directed to the cortex. We optogenetically stimulated the direct and indirect pathways in a visual and a working memory task in mice that responded by licking. Unilateral direct pathway stimulation increased the probability of lick responses toward the contralateral, non-stimulated side and increased cortical activity globally. In contrast, indirect pathway stimulation increased the probability of responses toward the stimulated side and decreased activity in the stimulated hemisphere. Moreover, direct pathway stimulation enhanced the neural representation of a contralateral visual stimulus during the delay of the working memory task, whereas indirect pathway stimulation had the opposite effect. Our results demonstrate how these two pathways influence perceptual decisions and working memory and modify activity in the dorsal cortex.
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Affiliation(s)
- Enny H van Beest
- Department of Vision and Cognition, Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences (KNAW), Amsterdam, the Netherlands
| | - Mohammed A O Abdelwahab
- Department of Vision and Cognition, Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences (KNAW), Amsterdam, the Netherlands
| | - J Leonie Cazemier
- Department of Cortical Structure and Function, Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences (KNAW), Amsterdam, the Netherlands
| | - Chrysiida Baltira
- Department of Vision and Cognition, Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences (KNAW), Amsterdam, the Netherlands
| | - M Cassandra Maes
- Department of Vision and Cognition, Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences (KNAW), Amsterdam, the Netherlands
| | - Brandon D Peri
- Department of Vision and Cognition, Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences (KNAW), Amsterdam, the Netherlands
| | - Matthew W Self
- Department of Vision and Cognition, Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences (KNAW), Amsterdam, the Netherlands
| | - Ingo Willuhn
- Department of Neuromodulation and Behavior, Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences (KNAW), Amsterdam, the Netherlands
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Pieter R Roelfsema
- Department of Vision and Cognition, Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences (KNAW), Amsterdam, the Netherlands
- Department of Neurosurgery, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), VU University, Amsterdam, the Netherlands
- Laboratory of Visual Brain Therapy, Sorbonne Université, Institut National de la Santé et de la Recherche Médicale, Centre National de la Recherche Scientifique, Institut de la Vision, Paris, France
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3
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Wang D, Jin H, Xie F, Wang Z, Xing W. Gray matter structural alterations of cortico-striato-thalamo-cortical loop in familial Paroxysmal Kinesigenic Dyskinesia. Heliyon 2024; 10:e36739. [PMID: 39263125 PMCID: PMC11387349 DOI: 10.1016/j.heliyon.2024.e36739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Revised: 08/20/2024] [Accepted: 08/21/2024] [Indexed: 09/13/2024] Open
Abstract
Background Previous studies have indicated that patients with Paroxysmal Kinesigenic Dyskinesia (PKD) exhibit reduced gray matter volume in certain brain regions within the cortico-striato-thalamo-cortical (CSTC) loop. However, a comprehensive investigation specifically targeting the CSTC loop in PKD has never been conducted. Objectives To provide evidence for the involvement of the CSTC loop in the pathogenesis of PKD from the perspective of structural alterations, this study carried out a surface-based morphometry (SBM), voxel-based morphometry (VBM), and structural covariance networks (SCN) combined analysis in familial PKD patients. Methods A total of 8 familial PKD patients and 10 healthy family members were included in the study and underwent Brain MRI examinations. Based on 3D T1 MPRAGE data, neuroimaging metrics of cortical thickness from SBM, subcortical nuclei volume from VBM, and covariance coefficient from SCN were used to systematically investigate the brain structural alterations along the CSTC loop of PKD patients. Results A significant decrease in the average cortical thickness of the left S1 region in the PKD group was observed. The volumes of subcortical nuclei, including the thalamus, putamen, and globus pallidus were reduced, with a pronounced effect observed in the bilateral putamen. And the structural covariance connection between the left putamen and the left globus pallidus was significantly strengthened. Conclusions The study confirms the involvement of the CSTC loop in the pathogenesis of PKD from the perspective of structural alterations, and the findings may provide potential targets for objective diagnosis and therapeutic monitoring of PKD.
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Affiliation(s)
- Dongcui Wang
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, XiangYa Hospital, Central South University, Changsha, China
| | - Hong Jin
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, XiangYa Hospital, Central South University, Changsha, China
| | - Fangfang Xie
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, XiangYa Hospital, Central South University, Changsha, China
| | - Ziyun Wang
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, XiangYa Hospital, Central South University, Changsha, China
| | - Wu Xing
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, XiangYa Hospital, Central South University, Changsha, China
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4
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Xu L, Ding H, Wu S, Xiong N, Hong Y, Zhu W, Chen X, Han X, Tao M, Wang Y, Wang D, Xu M, Huo D, Gu Z, Liu Y. Artificial Meshed Vessel-Induced Dimensional Breaking Growth of Human Brain Organoids and Multiregional Assembloids. ACS NANO 2024; 18. [PMID: 39270300 PMCID: PMC11440649 DOI: 10.1021/acsnano.4c07844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 09/06/2024] [Accepted: 09/10/2024] [Indexed: 09/15/2024]
Abstract
Brain organoids are widely used to model brain development and diseases. However, a major challenge in their application is the insufficient supply of oxygen and nutrients to the core region, restricting the size and maturation of the organoids. In order to vascularize brain organoids and enhance the nutritional supply to their core areas, two-photon polymerization (TPP) 3D printing is employed to fabricate high-resolution meshed vessels in this study. These vessels made of photoresist with densely distributed micropores with a diameter of 20 μm on the sidewall, are cocultured with brain organoids to facilitate the diffusion of culture medium into the organoids. The vascularized organoids exhibit dimensional breaking growth and enhanced proliferation, reduced hypoxia and apoptosis, suggesting that the 3D-printed meshed vessels partially mimic vascular function to promote the culture of organoids. Furthermore, cortical, striatal and medial ganglionic eminence (MGE) organoids are respectively differentiated to generate Cortico-Striatal-MGE assembloids by 3D-printed vessels. The enhanced migration, projection and excitatory signaling transduction are observed between different brain regional organoids in the assembloids. This study presents an approach using TPP 3D printing to construct vascularized brain organoids and assembloids for enhancing the development and assembly, offering a research model and platform for neurological diseases.
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Affiliation(s)
- Lei Xu
- State
Key Laboratory of Digital Medical Engineering, School of Biological
Science and Medical Engineering; Department of neurology, affiliated
Zhongda Hospital, Southeast University, Nanjing 210096, China
- State
Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China
- Institute
of Stem Cell and Neural Regeneration, School of pharmacy, Nanjing Medical University, Nanjing 211166, China
| | - Haibo Ding
- State
Key Laboratory of Digital Medical Engineering, School of Biological
Science and Medical Engineering; Department of neurology, affiliated
Zhongda Hospital, Southeast University, Nanjing 210096, China
| | - Shanshan Wu
- State
Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China
- Institute
of Stem Cell and Neural Regeneration, School of pharmacy, Nanjing Medical University, Nanjing 211166, China
- Key
Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative
Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Nankun Xiong
- State
Key Laboratory of Digital Medical Engineering, School of Biological
Science and Medical Engineering; Department of neurology, affiliated
Zhongda Hospital, Southeast University, Nanjing 210096, China
| | - Yuan Hong
- State
Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China
- Institute
of Stem Cell and Neural Regeneration, School of pharmacy, Nanjing Medical University, Nanjing 211166, China
- Key
Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative
Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Wanying Zhu
- State
Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China
- Institute
of Stem Cell and Neural Regeneration, School of pharmacy, Nanjing Medical University, Nanjing 211166, China
- Key
Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative
Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Xingyi Chen
- State
Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China
- Institute
of Stem Cell and Neural Regeneration, School of pharmacy, Nanjing Medical University, Nanjing 211166, China
- Key
Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative
Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Xiao Han
- State
Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China
- Institute
of Stem Cell and Neural Regeneration, School of pharmacy, Nanjing Medical University, Nanjing 211166, China
- Key
Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative
Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Mengdan Tao
- State
Key Laboratory of Digital Medical Engineering, School of Biological
Science and Medical Engineering; Department of neurology, affiliated
Zhongda Hospital, Southeast University, Nanjing 210096, China
| | - Yuanhao Wang
- State
Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China
- Institute
of Stem Cell and Neural Regeneration, School of pharmacy, Nanjing Medical University, Nanjing 211166, China
- Key
Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative
Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Da Wang
- State
Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China
- Institute
of Stem Cell and Neural Regeneration, School of pharmacy, Nanjing Medical University, Nanjing 211166, China
- Key
Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative
Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Min Xu
- State
Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China
- Institute
of Stem Cell and Neural Regeneration, School of pharmacy, Nanjing Medical University, Nanjing 211166, China
- Key
Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative
Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Da Huo
- Key
Laboratory of Cardiovascular and Cerebrovascular Medicine, Department
of Pharmaceutics, School of Pharmacy, Nanjing
Medical University, Nanjing 211166, China
| | - Zhongze Gu
- State
Key Laboratory of Digital Medical Engineering, School of Biological
Science and Medical Engineering; Department of neurology, affiliated
Zhongda Hospital, Southeast University, Nanjing 210096, China
| | - Yan Liu
- State
Key Laboratory of Digital Medical Engineering, School of Biological
Science and Medical Engineering; Department of neurology, affiliated
Zhongda Hospital, Southeast University, Nanjing 210096, China
- State
Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China
- Institute
of Stem Cell and Neural Regeneration, School of pharmacy, Nanjing Medical University, Nanjing 211166, China
- Key
Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative
Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, China
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5
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Rudroff T. Frontal-striatal glucose metabolism and fatigue in patients with multiple sclerosis, long COVID, and COVID-19 recovered controls. Exp Brain Res 2024; 242:2125-2136. [PMID: 38970653 DOI: 10.1007/s00221-024-06882-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2024] [Accepted: 06/20/2024] [Indexed: 07/08/2024]
Abstract
This study compared brain glucose metabolism using FDG-PET in the caudate nucleus, putamen, globus pallidus, thalamus, and dorsolateral prefrontal cortex (DLPFC) among patients with Long COVID, patients with fatigue, people with multiple sclerosis (PwMS) patients with fatigue, and COVID recovered controls. PwMS exhibited greater hypometabolism compared to long COVID patients with fatigue and the COVID recovered control group in all studied brain areas except the globus pallidus (effect size range 0.7-1.5). The results showed no significant differences in glucose metabolism between patients with Long COVID and the COVID recovered control group in these regions. These findings suggest that long COVID fatigue may involve non-CNS systems, neurotransmitter imbalances, or psychological factors not captured by FDG-PET, while MS-related fatigue is associated with more severe frontal-striatal circuit dysfunction due to demyelination and neurodegeneration. Symmetrical standardized uptake values (SUVs) between hemispheres in all groups imply that fatigue in these conditions may be related to global or network-level alterations rather than hemisphere-specific changes. Future studies should employ fine-grained analysis methods, explore other brain regions, and control for confounding factors to better understand the pathophysiology of fatigue in MS and long COVID. Longitudinal studies tracking brain glucose metabolism in patients with Long COVID could provide insights into the evolution of metabolic patterns as the condition progresses.
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Affiliation(s)
- Thorsten Rudroff
- Department of Health and Human Physiology, University of Iowa, E432 Field House, Iowa City, IA, 52242, USA.
- Department of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
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6
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He J, Li X, Li K, Yang H, Wang X. Abnormal functional connectivity of the putamen in obsessive-compulsive disorder. J Psychiatr Res 2024; 177:338-345. [PMID: 39068778 DOI: 10.1016/j.jpsychires.2024.07.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 06/28/2024] [Accepted: 07/22/2024] [Indexed: 07/30/2024]
Abstract
The putamen has been proposed to play a critical role in the development of obsessive-compulsive disorder (OCD). The primary objective of this study was to examine the resting-state regional activity and functional connectivity patterns of the putamen in individuals diagnosed with OCD. To achieve this, we employed resting-state functional magnetic resonance imaging (rs-fMRI) to collect data from a sample of 45 OCD patients and 53 healthy control participants. We aimed to use the regional amplitude of low-frequency fluctuation (ALFF) analysis to generate the ROI masks of the putamen and then conduct the whole brain functional connectivity of the putamen in individuals with OCD. Compared to controls, the OCD group demonstrated decreased ALFF in bilateral putamen. The right putamen also displayed decreased FC with the left putamen extending to the inferior frontal gyrus (IFG), bilateral precuneus extending to calcarine, the right middle occipital cortex extending to the right middle temporal cortex, and the left middle occipital gyrus. The decreased connectivity between the right putamen and the left IFG was negatively correlated with Yale-Brown Obsessive Compulsive scale (Y-BOCS) Obsession Scores. This study aimed to reveal the putamen changes in resting-state activity and connectivity in OCD patients, highlighting the significance of aberrant ALFF/FC of the putamen is a key characteristic of OCD.
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Affiliation(s)
- Jie He
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Xun Li
- Department of Clinical Psychology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, 421002, Hunan, China
| | - Kangning Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Huan Yang
- Department of Psychiatry and Clinical Psychology, The Seventh Affiliated Hospital, Sun Yat-sen University, China.
| | - Xiaoping Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
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7
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Bore MC, Liu X, Huang X, Kendrick KM, Zhou B, Zhang J, Klugah-Brown B, Becker B. Common and separable neural alterations in adult and adolescent depression - Evidence from neuroimaging meta-analyses. Neurosci Biobehav Rev 2024; 164:105835. [PMID: 39084585 DOI: 10.1016/j.neubiorev.2024.105835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 07/25/2024] [Accepted: 07/28/2024] [Indexed: 08/02/2024]
Abstract
Depression is a highly prevalent and debilitating mental disorder that often begins in adolescence. However, it remains unclear whether adults and adolescents with depression exhibit common or distinct brain dysfunctions during reward processing. We aimed to identify common and separable neurofunctional alterations during receipt of rewards and brain structure in adolescents and adults with depression. A coordinate-based meta-analysis was employed using Seed-based d mapping with permutation of subject images (SDM-PSI). Compared with healthy controls, both age groups exhibited common activity decreases in the right striatum (putamen, caudate) and subgenual ACC. Adults with depression showed decreased reactivity in the right putamen and subgenual ACC, while adolescents with depression showed decreased activity in the left mid cingulate, right caudate but increased reactivity in the right postcentral gyrus. This meta-analysis revealed shared (caudate) and separable (putamen and mid cingulate cortex) reward-related alterations in adults and adolescents with depression. The findings suggest age-specific neurofunctional alterations and stress the importance of adolescent-specific interventions that target social functions.
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Affiliation(s)
- Mercy Chepngetich Bore
- Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China; MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiqin Liu
- Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular lmaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Xiaoqi Huang
- Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular lmaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, Sichuan, China; The Xiaman Key Lab of Psychoradiology and Neuromodulation, West China Xiamen Hospital of Sichuan University, Xiamen, Fujian, China
| | - Keith M Kendrick
- Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China; MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Bo Zhou
- Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China; MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Jie Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Benjamin Klugah-Brown
- Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China; MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
| | - Benjamin Becker
- Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China; MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China; Department of Psychology, The University of Hong Kong, Hong Kong, China.
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8
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Godet A, Serrand Y, Léger B, Moirand R, Bannier E, Val-Laillet D, Coquery N. Functional near-infrared spectroscopy-based neurofeedback training targeting the dorsolateral prefrontal cortex induces changes in cortico-striatal functional connectivity. Sci Rep 2024; 14:20025. [PMID: 39198481 PMCID: PMC11358514 DOI: 10.1038/s41598-024-69863-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 08/09/2024] [Indexed: 09/01/2024] Open
Abstract
Due to its central role in cognitive control, the dorso-lateral prefrontal cortex (dlPFC) has been the target of multiple brain modulation studies. In the context of the present pilot study, the dlPFC was the target of eight repeated neurofeedback (NF) sessions with functional near infrared spectroscopy (fNIRS) to assess the brain responses during NF and with functional and resting state magnetic resonance imaging (task-based fMRI and rsMRI) scanning. Fifteen healthy participants were recruited. Cognitive task fMRI and rsMRI were performed during the 1st and the 8th NF sessions. During NF, our data revealed an increased activity in the dlPFC as well as in brain regions involved in cognitive control and self-regulation learning (pFWE < 0.05). Changes in functional connectivity between the 1st and the 8th session revealed increased connectivity between the posterior cingulate cortex and the dlPFC, and between the posterior cingulate cortex and the dorsal striatum (pFWE < 0.05). Decreased left dlPFC-left insula connectivity was also observed. Behavioural results revealed a significant effect of hunger and motivation on the participant control feeling and a lower control feeling when participants did not identify an effective mental strategy, providing new insights on the effects of behavioural factors that may affect the NF learning.
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Affiliation(s)
- A Godet
- INRAE, INSERM, CHU Rennes, Nutrition Metabolisms and Cancer, NuMeCan, Univ Rennes, Rennes, France
| | - Y Serrand
- INRAE, INSERM, CHU Rennes, Nutrition Metabolisms and Cancer, NuMeCan, Univ Rennes, Rennes, France
| | - B Léger
- INRAE, INSERM, CHU Rennes, Nutrition Metabolisms and Cancer, NuMeCan, Univ Rennes, Rennes, France
| | - R Moirand
- INRAE, INSERM, CHU Rennes, Nutrition Metabolisms and Cancer, NuMeCan, Univ Rennes, Rennes, France
- Unité d'Addictologie, CHU Rennes, Rennes, France
| | - E Bannier
- Inria, CRNS, Inserm, IRISA UMR 6074, Empenn U1228, Univ Rennes, Rennes, France.
- Radiology Department, CHU Rennes, Rennes, France.
| | - D Val-Laillet
- INRAE, INSERM, CHU Rennes, Nutrition Metabolisms and Cancer, NuMeCan, Univ Rennes, Rennes, France.
| | - N Coquery
- INRAE, INSERM, CHU Rennes, Nutrition Metabolisms and Cancer, NuMeCan, Univ Rennes, Rennes, France
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9
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Hurwitz T, Ching G, Bogod NM, Honey CR. Bilateral Anterior Capsulotomy for Treatment-Resistant Obsessive-Compulsive Disorder. Stereotact Funct Neurosurg 2024:1-15. [PMID: 39182480 DOI: 10.1159/000540503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 07/18/2024] [Indexed: 08/27/2024]
Abstract
INTRODUCTION Ablative surgery is an intervention of last resort for treatment-resistant obsessive-compulsive disorder (TROCD). Our center has been using bilateral anterior capsulotomy (BAC) for the past 20 years for patients eligible for limbic surgery. This report details our experience with BAC for TROCD. METHOD Five patients with OCD met eligibility criteria for BAC. Entry protocols were complex and took around 6 months to complete. Stereotactic radiofrequency was used to produce the capsulotomies. Lesion length varied between 5.7 and 16.9 mm in the coronal plane. Patients were followed between 4 and 20 years. RESULTS All 5 patients (100%) were responders as defined by the widely accepted criteria of a reduction of ≥35% in Yale-Brown Obsessive Compulsive Scale (YBOCS) score at 18-month follow-up. Four patients remained responders at the 48 months. One patient was lost to follow-up. Responder status when viewed from the perspective of the YBOCS was sustained over the 4- to 20-year follow-up with one relapse 19 years postsurgery when medications were discontinued. Real-world psychiatric outcomes were different as other vulnerabilities surfaced illustrating the multifactorial determinants of mental health. No patient had any significant long-term neurocognitive or physical side effects. CONCLUSION BAC should remain an option of last resort for patients with severe OCD who remain unresponsive to all other interventions.
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Affiliation(s)
- Trevor Hurwitz
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Geoffrey Ching
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Nicholas Mark Bogod
- Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Christopher R Honey
- Department of Surgery, University of British Columbia, Vancouver, British Columbia, Canada
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10
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Tymofiyeva O, Sipes BS, Luks T, Hamlat EJ, Samson TE, Hoffmann TJ, Glidden DV, Jakary A, Li Y, Ngan T, Henje E, Yang TT. Interoceptive brain network mechanisms of mindfulness-based training in healthy adolescents. Front Psychol 2024; 15:1410319. [PMID: 39193038 PMCID: PMC11348390 DOI: 10.3389/fpsyg.2024.1410319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2024] [Accepted: 07/18/2024] [Indexed: 08/29/2024] Open
Abstract
Introduction This study evaluated changes in the white matter of the brain and psychological health variables, resulting from a neuroscience-based mindfulness intervention, the Training for Awareness, Resilience, and Action (TARA), in a population of healthy adolescents. Methods A total of 100 healthy adolescents (57 female, age ranges 14-18 years) were randomized into the 12-week TARA intervention or a waitlist-control group. All participants were imaged with diffusion MRI to quantify white matter connectivity between brain regions. Imaging occurred at baseline/randomization and after 12 weeks of baseline (pre- and post-intervention in the TARA group). We hypothesized that structural connectivity in the striatum and interoceptive networks would increase following the TARA intervention, and that, this increased connectivity would relate to psychological health metrics from the Strengths and Difficulties Questionnaire (SDQ) and the Insomnia Severity Index (ISI). The TARA intervention and all assessments, except for the MRIs, were fully remotely delivered using secure telehealth platforms and online electronic data capture systems. Results The TARA intervention showed high consistency, tolerability, safety, recruitment, fidelity, adherence, and retention. After 12 weeks, the TARA group, but not controls, also demonstrated significantly improved sleep quality (p = 0.02), and changes in the right putamen node strength were related to this improved sleep quality (r = -0.42, p = 0.006). Similarly, the TARA group, but not controls, had significantly increased right insula node strength related to improved emotional well-being (r = -0.31, p = 0.04). Finally, we used the network-based statistics to identify a white matter interoception network that strengthened following TARA (p = 0.009). Discussion These results suggest that the TARA mindfulness-based intervention in healthy adolescents is feasible and safe, and it may act to increase structural connectivity strength in interoceptive brain regions. Furthermore, these white matter changes are associated with improved adolescent sleep quality and emotional well-being. Our results suggest that TARA could be a promising fully remotely delivered intervention for improving psychological well-being in adolescents. As our findings suggest that TARA affects brain regions in healthy adolescents, which are also known to be altered during depression in adolescents, future studies will examine the effects of TARA on depressed adolescents. Clinical trial registration https://clinicaltrials.gov/study/NCT04254796.
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Affiliation(s)
- Olga Tymofiyeva
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Benjamin S. Sipes
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Tracy Luks
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Elissa J. Hamlat
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Langley Porter Psychiatric Institute, University of California, San Francisco, San Francisco, CA, United States
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Tara E. Samson
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Thomas J. Hoffmann
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States
| | - David V. Glidden
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States
| | - Angela Jakary
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Yi Li
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Tiffany Ngan
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Eva Henje
- Department of Clinical Science/Child- and Adolescent Psychiatry, Umeå University, Umeå, Sweden
| | - Tony T. Yang
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Langley Porter Psychiatric Institute, University of California, San Francisco, San Francisco, CA, United States
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
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11
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Tu S, Li T, Carroll AS, Mahoney CJ, Huynh W, Park SB, Henderson R, Vucic S, Kiernan MC, Lin CSY. Central neurodegeneration in Kennedy's disease accompanies peripheral motor dysfunction. Sci Rep 2024; 14:18331. [PMID: 39112530 PMCID: PMC11306389 DOI: 10.1038/s41598-024-69393-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 08/05/2024] [Indexed: 08/10/2024] Open
Abstract
Spinal and bulbar muscular atrophy (SBMA), or Kennedy's disease (KD), is a rare hereditary neuromuscular disorder demonstrating commonalities with amyotrophic lateral sclerosis (ALS). The current study aimed to define functional and central nervous system abnormalities associated with SBMA pathology, their interaction, and to identify novel clinical markers for quantifying disease activity. 27 study participants (12 SBMA; 8 ALS; 7 Control) were recruited. SBMA patients underwent comprehensive motor and sensory functional assessments, and neurophysiological testing. All participants underwent whole-brain structural and diffusion MRI. SBMA patients demonstrated marked peripheral motor and sensory abnormalities across clinical assessments. Increased abnormalities on neurological examination were significantly associated with increased disease duration in SBMA patients (R2 = 0.85, p < 0.01). Widespread juxtacortical axonal degeneration of corticospinal white matter tracts were detected in SBMA patients (premotor; motor; somatosensory; p < 0.05), relative to controls. Increased axial diffusivity was significantly correlated with total neuropathy score in SBMA patients across left premotor (R2 = 0.59, p < 0.01), motor (R2 = 0.63, p < 0.01), and somatosensory (R2 = 0.61, p < 0.01) tracts. The present series has identified involvement of motor and sensory brain regions in SBMA, associated with disease duration and increasing severity of peripheral neuropathy. Quantification of annualized brain MRI together with Total Neuropathy Score may represent a novel approach for clinical monitoring.
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Affiliation(s)
- Sicong Tu
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, 2050, Australia.
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, 2050, Australia.
| | - Tiffany Li
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, 2050, Australia
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, 2050, Australia
| | - Antonia S Carroll
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, 2050, Australia
- Department of Neurology and Neurophysiology, St Vincent's Hospital, Sydney, 2010, Australia
| | - Colin J Mahoney
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, 2050, Australia
| | - William Huynh
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, 2050, Australia
- Prince of Wales Clinical School, The University of New South Wales, Sydney, 2052, Australia
| | - Susanna B Park
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, 2050, Australia
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, 2050, Australia
| | - Robert Henderson
- Royal Brisbane and Women's Hospital, University of Queensland, Brisbane, 4029, Australia
| | - Steve Vucic
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, 2050, Australia
- Brain and Nerve Research Centre, Concord Clinical School, The University of Sydney, Sydney, 2137, Australia
| | - Matthew C Kiernan
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, 2050, Australia
- Department of Neurology, Royal Prince Alfred Hospital, Sydney, 2050, Australia
| | - Cindy S-Y Lin
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, 2050, Australia.
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, 2050, Australia.
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12
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Hédouin R, Roy JC, Desmidt T, Robert G, Coloigner J. Microstructural brain assessment in late-life depression and apathy using diffusion MRI multi-compartments models and tractometry. Sci Rep 2024; 14:18193. [PMID: 39107406 PMCID: PMC11303796 DOI: 10.1038/s41598-024-67535-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 07/12/2024] [Indexed: 08/10/2024] Open
Abstract
Late-life depression (LLD) is both common and disabling and doubles the risk of dementia onset. Apathy might constitute an additional risk of cognitive decline but clear understanding of its pathophysiology is lacking. While white matter (WM) alterations have been assessed using diffusion tensor imaging (DTI), this model cannot accurately represent WM microstructure. We hypothesized that a more complex multi-compartment model would provide new biomarkers of LLD and apathy. Fifty-six individuals (LLD n = 35, 26 females, 75.2 ± 6.4 years, apathy evaluation scale scores (41.8 ± 8.7) and Healthy controls, n = 21, 16 females, 74.7 ± 5.2 years) were included. In this article, a tract-based approach was conducted to investigate novel diffusion model biomarkers of LLD and apathy by interpolating microstructural metrics directly along the fiber bundle. We performed multivariate statistical analysis, combined with principal component analysis for dimensional data reduction. We then tested the utility of our framework by demonstrating classically reported from the literature modifications in LDD while reporting new results of biological-basis of apathy in LLD. Finally, we aimed to investigate the relationship between apathy and microstructure in different fiber bundles. Our study suggests that new fiber bundles, such as the striato-premotor tracts, may be involved in LLD and apathy, which bring new light of apathy mechanisms in major depression. We also identified statistical changes in diffusion MRI metrics in 5 different tracts, previously reported in major cognitive disorders dementia, suggesting that these alterations among these tracts are both involved in motivation and cognition and might explain how apathy is a prodromal phase of degenerative disorders.
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Affiliation(s)
- Renaud Hédouin
- Univ Rennes, INRIA, CNRS, INSERM, IRISA UMR 6074, Empenn ERL U 1228, 35000, Rennes, France
| | - Jean-Charles Roy
- Univ Rennes, INRIA, CNRS, INSERM, IRISA UMR 6074, Empenn ERL U 1228, 35000, Rennes, France
- CIC 1414, CHU de Rennes, INSERM, Rennes, France
- Adult University Psychiatry Department, Guillaume Régnier Hospital, Rennes, France
| | - Thomas Desmidt
- CHU de Tours, Tours, France
- UMR 1253, iBrain, Université de Tours, INSERM, Tours, France
- CIC 1415, CHU de Tours, INSERM, Tours, France
| | - Gabriel Robert
- Univ Rennes, INRIA, CNRS, INSERM, IRISA UMR 6074, Empenn ERL U 1228, 35000, Rennes, France
- CIC 1414, CHU de Rennes, INSERM, Rennes, France
- Adult University Psychiatry Department, Guillaume Régnier Hospital, Rennes, France
| | - Julie Coloigner
- Univ Rennes, INRIA, CNRS, INSERM, IRISA UMR 6074, Empenn ERL U 1228, 35000, Rennes, France.
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13
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Zhang M, Wu C, Lu S, Wang Y, Ma R, Du Y, Wang S, Fang J. Regional brain activity and connectivity associated with childhood trauma in drug-naive patients with obsessive-compulsive disorder. Sci Rep 2024; 14:18111. [PMID: 39103500 PMCID: PMC11300583 DOI: 10.1038/s41598-024-69122-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 07/31/2024] [Indexed: 08/07/2024] Open
Abstract
Obsessive-compulsive disorder (OCD) is characterized by intrusive thoughts and repetitive, compulsive behaviors, with childhood trauma recognized as a contributing factor to its pathophysiology. This study aimed to delineate brain functional aberrations in OCD patients and explore the association between these abnormalities and childhood trauma, to gain insights into the neural underpinnings of OCD. Forty-eight drug-naive OCD patients and forty-two healthy controls (HC) underwent resting-state functional magnetic resonance imaging and clinical assessments, including the Yale-Brown Obsessive Compulsive Scale (Y-BOCS) and Childhood Trauma Questionnaire-Short Form (CTQ-SF). Compared to HCs, OCD patients exhibited significantly decreased amplitude of low-frequency fluctuations (ALFF) in the right cerebellum, decreased regional homogeneity (ReHo) in the right cerebellum and right superior occipital lobes (FWE-corrected p < 0.05), which negatively correlated with Y-BOCS scores (p < 0.05). Furthermore, cerebellar ALFF negatively correlated with the CTQ emotional abuse subscale (r = - 0.514, p < 0.01). Mediation analysis revealed that cerebellar ALFF mediated the relationship between CTQ-emotional abuse and Y-BOCS (good model fit: R2 = 0.231, MSE = 14.311, F = 5.721, p < 0.01; direct effect, c' = 0.153, indirect effect, a*b = 0.191). Findings indicated abnormal spontaneous and regional cerebellar activity in OCD, suggesting childhood trauma impacts OCD symptoms through cerebellar neural remodeling, highlighting its importance for clinical treatment selection.
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Affiliation(s)
- Manxue Zhang
- Mental Health Center, Ningxia Medical University General Hospital, Yinchuan, China
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Chujun Wu
- Mental Health Center, Ningxia Medical University General Hospital, Yinchuan, China
| | - Shihao Lu
- Mental Health Center, Ningxia Medical University General Hospital, Yinchuan, China
| | - Yanrong Wang
- Mental Health Center, Ningxia Medical University General Hospital, Yinchuan, China
| | - Rui Ma
- Mental Health Center, Ningxia Medical University General Hospital, Yinchuan, China
| | - Yunyun Du
- Mental Health Center, Ningxia Medical University General Hospital, Yinchuan, China
| | - Shaoxia Wang
- Mental Health Center, Ningxia Medical University General Hospital, Yinchuan, China
| | - Jianqun Fang
- Institute of Medical Sciences, General Hospital of Ningxia Medical University, Yinchuan, 750004, Ningxia, China.
- Mental Health Center, Ningxia Medical University General Hospital, Yinchuan, China.
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14
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Zampogna A, Suppa A, Bove F, Cavallieri F, Castrioto A, Meoni S, Pelissier P, Schmitt E, Chabardes S, Fraix V, Moro E. Disentangling Bradykinesia and Rigidity in Parkinson's Disease: Evidence from Short- and Long-Term Subthalamic Nucleus Deep Brain Stimulation. Ann Neurol 2024; 96:234-246. [PMID: 38721781 DOI: 10.1002/ana.26961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 04/04/2024] [Accepted: 04/07/2024] [Indexed: 07/11/2024]
Abstract
OBJECTIVE Bradykinesia and rigidity are considered closely related motor signs in Parkinson disease (PD), but recent neurophysiological findings suggest distinct pathophysiological mechanisms. This study aims to examine and compare longitudinal changes in bradykinesia and rigidity in PD patients treated with bilateral subthalamic nucleus deep brain stimulation (STN-DBS). METHODS In this retrospective cohort study, the clinical progression of appendicular and axial bradykinesia and rigidity was assessed up to 15 years after STN-DBS in the best treatment conditions (ON medication and ON stimulation). The severity of bradykinesia and rigidity was examined using ad hoc composite scores from specific subitems of the Unified Parkinson's Disease Rating Scale motor part (UPDRS-III). Short- and long-term predictors of bradykinesia and rigidity were analyzed through linear regression analysis, considering various preoperative demographic and clinical data, including disease duration and severity, phenotype, motor and cognitive scores (eg, frontal score), and medication. RESULTS A total of 301 patients were examined before and 1 year after surgery. Among them, 101 and 56 individuals were also evaluated at 10-year and 15-year follow-ups, respectively. Bradykinesia significantly worsened after surgery, especially in appendicular segments (p < 0.001). Conversely, rigidity showed sustained benefit, with unchanged clinical scores compared to preoperative assessment (p > 0.05). Preoperative motor disability (eg, composite scores from the UPDRS-III) predicted short- and long-term outcomes for both bradykinesia and rigidity (p < 0.01). Executive dysfunction was specifically linked to bradykinesia but not to rigidity (p < 0.05). INTERPRETATION Bradykinesia and rigidity show long-term divergent progression in PD following STN-DBS and are associated with independent clinical factors, supporting the hypothesis of partially distinct pathophysiology. ANN NEUROL 2024;96:234-246.
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Affiliation(s)
- Alessandro Zampogna
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
- Grenoble Alpes University, Division of Neurology, Centre Hospitalier Universitaire de Grenoble, Grenoble Institute of Neuroscience, INSERM U1216, Grenoble, France
- IRCCS Neuromed Institute, Pozzilli, Italy
| | - Antonio Suppa
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
- IRCCS Neuromed Institute, Pozzilli, Italy
| | - Francesco Bove
- Neurology Unit, Department of Neuroscience, Sensory Organs and Chest, Fondazione Policlinico Universitario A. Gemelli IRCCS, Catholic University of the Sacred Heart, Rome, Italy
| | - Francesco Cavallieri
- Neurology Unit, Neuromotor and Rehabilitation Department, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Anna Castrioto
- Grenoble Alpes University, Division of Neurology, Centre Hospitalier Universitaire de Grenoble, Grenoble Institute of Neuroscience, INSERM U1216, Grenoble, France
| | - Sara Meoni
- Grenoble Alpes University, Division of Neurology, Centre Hospitalier Universitaire de Grenoble, Grenoble Institute of Neuroscience, INSERM U1216, Grenoble, France
| | - Pierre Pelissier
- Grenoble Alpes University, Division of Neurology, Centre Hospitalier Universitaire de Grenoble, Grenoble Institute of Neuroscience, INSERM U1216, Grenoble, France
| | - Emmanuelle Schmitt
- Grenoble Alpes University, Division of Neurology, Centre Hospitalier Universitaire de Grenoble, Grenoble Institute of Neuroscience, INSERM U1216, Grenoble, France
| | - Stephan Chabardes
- Division of Neurosurgery, Grenoble Alpes University, Centre Hospitalier Universitaire de Grenoble, Grenoble, France
| | - Valerie Fraix
- Grenoble Alpes University, Division of Neurology, Centre Hospitalier Universitaire de Grenoble, Grenoble Institute of Neuroscience, INSERM U1216, Grenoble, France
| | - Elena Moro
- Grenoble Alpes University, Division of Neurology, Centre Hospitalier Universitaire de Grenoble, Grenoble Institute of Neuroscience, INSERM U1216, Grenoble, France
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15
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Keller GB, Sterzer P. Predictive Processing: A Circuit Approach to Psychosis. Annu Rev Neurosci 2024; 47:85-101. [PMID: 38424472 DOI: 10.1146/annurev-neuro-100223-121214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
Predictive processing is a computational framework that aims to explain how the brain processes sensory information by making predictions about the environment and minimizing prediction errors. It can also be used to explain some of the key symptoms of psychotic disorders such as schizophrenia. In recent years, substantial advances have been made in our understanding of the neuronal circuitry that underlies predictive processing in cortex. In this review, we summarize these findings and how they might relate to psychosis and to observed cell type-specific effects of antipsychotic drugs. We argue that quantifying the effects of antipsychotic drugs on specific neuronal circuit elements is a promising approach to understanding not only the mechanism of action of antipsychotic drugs but also psychosis. Finally, we outline some of the key experiments that should be done. The aims of this review are to provide an overview of the current circuit-based approaches to psychosis and to encourage further research in this direction.
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Affiliation(s)
- Georg B Keller
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland;
- Faculty of Natural Science, University of Basel, Basel, Switzerland
| | - Philipp Sterzer
- Department of Psychiatry, University of Basel, Basel, Switzerland
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16
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Vázquez D, Peña-Flores N, Maulhardt SR, Solway A, Charpentier CJ, Roesch MR. Anterior cingulate cortex lesions impair multiple facets of task engagement not mediated by dorsomedial striatum neuron firing. Cereb Cortex 2024; 34:bhae332. [PMID: 39128939 DOI: 10.1093/cercor/bhae332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Revised: 07/22/2024] [Accepted: 07/25/2024] [Indexed: 08/13/2024] Open
Abstract
The anterior cingulate cortex (ACC) has been implicated across multiple highly specialized cognitive functions-including task engagement, motivation, error detection, attention allocation, value processing, and action selection. Here, we ask if ACC lesions disrupt task performance and firing in dorsomedial striatum (DMS) during the performance of a reward-guided decision-making task that engages many of these cognitive functions. We found that ACC lesions impacted several facets of task performance-including decreasing the initiation and completion of trials, slowing reaction times, and resulting in suboptimal and inaccurate action selection. Reductions in movement times towards the end of behavioral sessions further suggested attenuations in motivation, which paralleled reductions in directional action selection signals in the DMS that were observed later in recording sessions. Surprisingly, however, beyond altered action signals late in sessions-neural correlates in the DMS were largely unaffected, even though behavior was disrupted at multiple levels. We conclude that ACC lesions result in overall deficits in task engagement that impact multiple facets of task performance during our reward-guided decision-making task, which-beyond impacting motivated action signals-arise from dysregulated attentional signals in the ACC and are mediated via downstream targets other than DMS.
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Affiliation(s)
- Daniela Vázquez
- Department of Psychology, University of Maryland, College Park, Maryland 20742, United States
- Program in Neuroscience and Cognitive Science, University of Maryland, College Park, Maryland 20742, United States
| | - Norma Peña-Flores
- Department of Psychology, University of Maryland, College Park, Maryland 20742, United States
- Program in Neuroscience and Cognitive Science, University of Maryland, College Park, Maryland 20742, United States
| | - Sean R Maulhardt
- Department of Psychology, University of Maryland, College Park, Maryland 20742, United States
| | - Alec Solway
- Department of Psychology, University of Maryland, College Park, Maryland 20742, United States
- Program in Neuroscience and Cognitive Science, University of Maryland, College Park, Maryland 20742, United States
| | - Caroline J Charpentier
- Department of Psychology, University of Maryland, College Park, Maryland 20742, United States
- Program in Neuroscience and Cognitive Science, University of Maryland, College Park, Maryland 20742, United States
| | - Matthew R Roesch
- Department of Psychology, University of Maryland, College Park, Maryland 20742, United States
- Program in Neuroscience and Cognitive Science, University of Maryland, College Park, Maryland 20742, United States
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17
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Vassiliadis P, Beanato E, Popa T, Windel F, Morishita T, Neufeld E, Duque J, Derosiere G, Wessel MJ, Hummel FC. Non-invasive stimulation of the human striatum disrupts reinforcement learning of motor skills. Nat Hum Behav 2024; 8:1581-1598. [PMID: 38811696 PMCID: PMC11343719 DOI: 10.1038/s41562-024-01901-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 04/23/2024] [Indexed: 05/31/2024]
Abstract
Reinforcement feedback can improve motor learning, but the underlying brain mechanisms remain underexplored. In particular, the causal contribution of specific patterns of oscillatory activity within the human striatum is unknown. To address this question, we exploited a recently developed non-invasive deep brain stimulation technique called transcranial temporal interference stimulation (tTIS) during reinforcement motor learning with concurrent neuroimaging, in a randomized, sham-controlled, double-blind study. Striatal tTIS applied at 80 Hz, but not at 20 Hz, abolished the benefits of reinforcement on motor learning. This effect was related to a selective modulation of neural activity within the striatum. Moreover, 80 Hz, but not 20 Hz, tTIS increased the neuromodulatory influence of the striatum on frontal areas involved in reinforcement motor learning. These results show that tTIS can non-invasively and selectively modulate a striatal mechanism involved in reinforcement learning, expanding our tools for the study of causal relationships between deep brain structures and human behaviour.
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Affiliation(s)
- Pierre Vassiliadis
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
- Institute of Neuroscience, Université Catholique de Louvain, Brussels, Belgium
| | - Elena Beanato
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Traian Popa
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Fabienne Windel
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Takuya Morishita
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Esra Neufeld
- Foundation for Research on Information Technologies in Society, Zurich, Switzerland
| | - Julie Duque
- Institute of Neuroscience, Université Catholique de Louvain, Brussels, Belgium
| | - Gerard Derosiere
- Institute of Neuroscience, Université Catholique de Louvain, Brussels, Belgium
- Lyon Neuroscience Research Center, Impact Team, Inserm U1028, CNRS UMR5292, Lyon 1 University, Bron, France
| | - Maximilian J Wessel
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Friedhelm C Hummel
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland.
- Clinical Neuroscience, University of Geneva Medical School, Geneva, Switzerland.
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18
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Scott DN, Mukherjee A, Nassar MR, Halassa MM. Thalamocortical architectures for flexible cognition and efficient learning. Trends Cogn Sci 2024; 28:739-756. [PMID: 38886139 PMCID: PMC11305962 DOI: 10.1016/j.tics.2024.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 05/12/2024] [Accepted: 05/13/2024] [Indexed: 06/20/2024]
Abstract
The brain exhibits a remarkable ability to learn and execute context-appropriate behaviors. How it achieves such flexibility, without sacrificing learning efficiency, is an important open question. Neuroscience, psychology, and engineering suggest that reusing and repurposing computations are part of the answer. Here, we review evidence that thalamocortical architectures may have evolved to facilitate these objectives of flexibility and efficiency by coordinating distributed computations. Recent work suggests that distributed prefrontal cortical networks compute with flexible codes, and that the mediodorsal thalamus provides regularization to promote efficient reuse. Thalamocortical interactions resemble hierarchical Bayesian computations, and their network implementation can be related to existing gating, synchronization, and hub theories of thalamic function. By reviewing recent findings and providing a novel synthesis, we highlight key research horizons integrating computation, cognition, and systems neuroscience.
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Affiliation(s)
- Daniel N Scott
- Department of Neuroscience, Brown University, Providence, RI, USA; Robert J. and Nancy D. Carney Institute for Brain Science, Brown University, Providence, RI, USA.
| | - Arghya Mukherjee
- Department of Neuroscience, Tufts University School of Medicine, Boston, MA, USA
| | - Matthew R Nassar
- Department of Neuroscience, Brown University, Providence, RI, USA; Robert J. and Nancy D. Carney Institute for Brain Science, Brown University, Providence, RI, USA
| | - Michael M Halassa
- Department of Neuroscience, Tufts University School of Medicine, Boston, MA, USA; Department of Psychiatry, Tufts University School of Medicine, Boston, MA, USA.
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19
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Beck DW, Heaton CN, Davila LD, Rakocevic LI, Drammis SM, Tyulmankov D, Vara P, Giri A, Umashankar Beck S, Zhang Q, Pokojovy M, Negishi K, Batson SA, Salcido AA, Reyes NF, Macias AY, Ibanez-Alcala RJ, Hossain SB, Waller GL, O'Dell LE, Moschak TM, Goosens KA, Friedman A. Model of a striatal circuit exploring biological mechanisms underlying decision-making during normal and disordered states. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.29.605535. [PMID: 39211231 PMCID: PMC11361035 DOI: 10.1101/2024.07.29.605535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
Decision-making requires continuous adaptation to internal and external contexts. Changes in decision-making are reliable transdiagnostic symptoms of neuropsychiatric disorders. We created a computational model demonstrating how the striosome compartment of the striatum constructs a mathematical space for decision-making computations depending on context, and how the matrix compartment defines action value depending on the space. The model explains multiple experimental results and unifies other theories like reward prediction error, roles of the direct versus indirect pathways, and roles of the striosome versus matrix, under one framework. We also found, through new analyses, that striosome and matrix neurons increase their synchrony during difficult tasks, caused by a necessary increase in dimensionality of the space. The model makes testable predictions about individual differences in disorder susceptibility, decision-making symptoms shared among neuropsychiatric disorders, and differences in neuropsychiatric disorder symptom presentation. The model reframes the role of the striosomal circuit in neuroeconomic and disorder-affected decision-making. Highlights Striosomes prioritize decision-related data used by matrix to set action values. Striosomes and matrix have different roles in the direct and indirect pathways. Abnormal information organization/valuation alters disorder presentation. Variance in data prioritization may explain individual differences in disorders. eTOC Beck et al. developed a computational model of how a striatal circuit functions during decision-making. The model unifies and extends theories about the direct versus indirect pathways. It further suggests how aberrant circuit function underlies decision-making phenomena observed in neuropsychiatric disorders.
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20
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Kolomeets NS, Uranova NA. Deficit of satellite oligodendrocytes of neurons in the rostral part of the head of the caudate nucleus in schizophrenia. Eur Arch Psychiatry Clin Neurosci 2024:10.1007/s00406-024-01869-x. [PMID: 39073446 DOI: 10.1007/s00406-024-01869-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 07/15/2024] [Indexed: 07/30/2024]
Abstract
Increasing evidence implicates compromised myelin integrity and oligodendrocyte abnormalities in the dysfunction of neuronal networks in schizophrenia. We previously reported a deficiency of myelinating oligodendrocytes (OL), oligodendrocyte progenitors (OP) and satellite oligodendrocytes of neurons (Sat-OL) in the prefrontal cortex and the inferior parietal cortex - cortical hubs of the frontoparietal cognitive network and default mode network (DMN) altered in schizophrenia. Deficiency of OL and OP was also detected in the head of the caudate nucleus (HCN), which accumulates cortical projections from the associative cortex and is the central node of these networks. However, the number of Sat-Ol per neuron in schizophrenia has not been studied in the HCN. In the current study we estimated the number of Sat-Ol per neuron in the rostral part of the HCN in schizophrenia (n = 18) compared to healthy controls (n = 18) in the same section collection that was previously used to study the number Ol and OP. We found a significant decrease of the number of Sat-Ol per neuron (- 50%, p < 0.001) in schizophrenia as compared to normal controls. Considering that the rostral part of the HCN is an individual network-specific projection zone of the DMN, the deficit of Sat-Ol found in schizophrenia may be related to the dysfunctional DMN-HCN connections, which has been repeatedly described in schizophrenia. The dramatic decrease of the number of Sat-Ol per neuron may be partially related to a pronounced excess of dopamine concentration in the rostral part of the HCN in schizophrenia.
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Affiliation(s)
- N S Kolomeets
- Laboratory of Clinical Neuropathology, Mental Health Research Center, Kashirskoe shosse 34, Moscow, 115522, Russia
| | - N A Uranova
- Laboratory of Clinical Neuropathology, Mental Health Research Center, Kashirskoe shosse 34, Moscow, 115522, Russia.
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21
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Matthews TE, Lumaca M, Witek MAG, Penhune VB, Vuust P. Music reward sensitivity is associated with greater information transfer capacity within dorsal and motor white matter networks in musicians. Brain Struct Funct 2024:10.1007/s00429-024-02836-x. [PMID: 39052097 DOI: 10.1007/s00429-024-02836-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 07/12/2024] [Indexed: 07/27/2024]
Abstract
There are pronounced differences in the degree to which individuals experience music-induced pleasure which are linked to variations in structural connectivity between auditory and reward areas. However, previous studies exploring the link between white matter structure and music reward sensitivity (MRS) have relied on standard diffusion tensor imaging methods, which present challenges in terms of anatomical accuracy and interpretability. Further, the link between MRS and connectivity in regions outside of auditory-reward networks, as well as the role of musical training, have yet to be investigated. Therefore, we investigated the relation between MRS and structural connectivity in a large number of directly segmented and anatomically verified white matter tracts in musicians (n = 24) and non-musicians (n = 23) using state-of-the-art tract reconstruction and fixel-based analysis. Using a manual tract-of-interest approach, we additionally tested MRS-white matter associations in auditory-reward networks seen in previous studies. Within the musician group, there was a significant positive relation between MRS and fiber density and cross section in the right middle longitudinal fascicle connecting auditory and inferior parietal cortices. There were also positive relations between MRS and fiber-bundle cross-section in tracts connecting the left thalamus to the ventral precentral gyrus and connecting the right thalamus to the right supplementary motor area, however, these did not survive FDR correction. These results suggest that, within musicians, dorsal auditory and motor networks are crucial to MRS, possibly via their roles in top-down predictive processing and auditory-motor transformations.
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Affiliation(s)
- Tomas E Matthews
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University Hospital, Nørrebrogade 44, Building 1A, Aarhus C, 8000, Denmark.
| | - Massimo Lumaca
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University Hospital, Nørrebrogade 44, Building 1A, Aarhus C, 8000, Denmark
| | - Maria A G Witek
- Department of Music School of Languages, Art History and Music, University of Birmingham, Cultures, Birmingham, B15 2TT, UK
| | - Virginia B Penhune
- Department of Psychology, Concordia University, 7141 Sherbrooke St W, Montreal, QC, H4B 1R6, Canada
| | - Peter Vuust
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University Hospital, Nørrebrogade 44, Building 1A, Aarhus C, 8000, Denmark
- Royal Academy of Music, Skovgaardsgade 2C, Aarhus C, DK-8000, Denmark
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22
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Bagdasarian FA, Hansen HD, Chen J, Yoo CH, Placzek MS, Hooker JM, Wey HY. Acute Effects of Hallucinogens on Functional Connectivity: Psilocybin and Salvinorin-A. ACS Chem Neurosci 2024; 15:2654-2661. [PMID: 38916752 DOI: 10.1021/acschemneuro.4c00245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/26/2024] Open
Abstract
The extent of changes in functional connectivity (FC) within functional networks as a common feature across hallucinogenic drug classes is under-explored. This work utilized fMRI to assess the dissociative hallucinogens Psilocybin, a classical serotonergic psychedelic, and Salvinorin-A, a kappa-opioid receptor (KOR) agonist, on resting-state FC in nonhuman primates. We highlight overlapping and differing influence of these substances on FC relative to the thalamus, claustrum, prefrontal cortex (PFC), default mode network (DMN), and DMN subcomponents. Analysis was conducted on a within-subject basis. Findings support the cortico-claustro-cortical network model for probing functional effects of hallucinogens regardless of serotonergic potential, with a potential key paradigm centered around the claustrum, PFC, anterior cingulate cortices (ACC), and angular gyrus relationship. Thalamo-cortical networks are implicated but appear dependent on 5-HT2AR activation. Acute desynchronization relative to the DMN for both drugs was also shown. Our findings provide a framework to understand broader mechanisms at which hallucinogens in differing classes may impact subjects regardless of the target receptor.
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Affiliation(s)
- Frederick A Bagdasarian
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts 02129-2020, United States
| | - Hanne D Hansen
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts 02129-2020, United States
- Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen DK-2100, Denmark
| | - Jingyuan Chen
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts 02129-2020, United States
| | - Chi-Hyeon Yoo
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts 02129-2020, United States
| | - Michael S Placzek
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts 02129-2020, United States
| | - Jacob M Hooker
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts 02129-2020, United States
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Center for the Neuroscience of Psychedelics, Charlestown, Massachusetts 02129, United States
| | - Hsiao-Ying Wey
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts 02129-2020, United States
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Center for the Neuroscience of Psychedelics, Charlestown, Massachusetts 02129, United States
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23
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Cotter DL, Morrel J, Sukumaran K, Cardenas-Iniguez C, Schwartz J, Herting MM. Prenatal and childhood air pollution exposure, cellular immune biomarkers, and brain connectivity in early adolescents. Brain Behav Immun Health 2024; 38:100799. [PMID: 39021436 PMCID: PMC11252082 DOI: 10.1016/j.bbih.2024.100799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 05/10/2024] [Accepted: 05/21/2024] [Indexed: 07/20/2024] Open
Abstract
Introduction Ambient air pollution is a neurotoxicant with hypothesized immune-related mechanisms. Adolescent brain structural and functional connectivity may be especially vulnerable to ambient pollution due to the refinement of large-scale brain networks during this period, which vary by sex and have important implications for cognitive, behavioral, and emotional functioning. In the current study we explored associations between air pollutants, immune markers, and structural and functional connectivity in early adolescence by leveraging cross-sectional sex-stratified data from the Adolescent Brain Cognitive Development℠ Study®. Methods Pollutant concentrations of fine particulate matter, nitrogen dioxide, and ozone were assigned to each child's primary residential address during the prenatal period and childhood (9-10 years-old) using an ensemble-based modeling approach. Data collected at 11-13 years-old included resting-state functional connectivity of the default mode, frontoparietal, and salience networks and limbic regions of interest, intracellular directional and isotropic diffusion of available white matter tracts, and markers of cellular immune activation. Using partial least squares correlation, a multivariate data-driven method that identifies important variables within latent dimensions, we investigated associations between 1) pollutants and structural and functional connectivity, 2) pollutants and immune markers, and 3) immune markers and structural and functional connectivity, in each sex separately. Results Air pollution exposure was related to white matter intracellular directional and isotropic diffusion at ages 11-13 years, but the direction of associations varied by sex. There were no associations between pollutants and resting-state functional connectivity at ages 11-13 years. Childhood exposure to nitrogen dioxide was negatively correlated with white blood cell count in males. Immune biomarkers were positively correlated with white matter intracellular directional diffusion in females and both white matter intracellular directional and isotropic diffusion in males. Lastly, there was a reliable negative correlation between lymphocyte-to-monocyte ratio and default mode network resting-state functional connectivity in females, as well as a compromised immune marker profile associated with lower resting-state functional connectivity between the salience network and the left hippocampus in males. In post-hoc exploratory analyses, we found that the PLSC-identified white matter tracts and resting-state networks related to processing speed and cognitive control performance from the NIH Toolbox. Conclusions We identified novel links between childhood nitrogen dioxide and cellular immune activation in males, and brain network connectivity and immune markers in both sexes. Future research should explore the potentially mediating role of immune activity in how pollutants affect neurological outcomes as well as the potential consequences of immune-related patterns of brain connectivity in service of improved brain health for all.
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Affiliation(s)
- Devyn L. Cotter
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jessica Morrel
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Kirthana Sukumaran
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Carlos Cardenas-Iniguez
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Megan M. Herting
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Children's Hospital Los Angeles, Los Angeles, CA, USA
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24
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Elliott BL, Mohyee RA, Ballard IC, Olson IR, Ellman LM, Murty VP. In vivo structural connectivity of the reward system along the hippocampal long axis. Hippocampus 2024; 34:327-341. [PMID: 38700259 DOI: 10.1002/hipo.23608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 03/11/2024] [Accepted: 04/18/2024] [Indexed: 05/05/2024]
Abstract
Recent work has identified a critical role for the hippocampus in reward-sensitive behaviors, including motivated memory, reinforcement learning, and decision-making. Animal histology and human functional neuroimaging have shown that brain regions involved in reward processing and motivation are more interconnected with the ventral/anterior hippocampus. However, direct evidence examining gradients of structural connectivity between reward regions and the hippocampus in humans is lacking. The present study used diffusion MRI (dMRI) and probabilistic tractography to quantify the structural connectivity of the hippocampus with key reward processing regions in vivo. Using a large sample of subjects (N = 628) from the human connectome dMRI data release, we found that connectivity profiles with the hippocampus varied widely between different regions of the reward circuit. While the dopaminergic midbrain (ventral tegmental area) showed stronger connectivity with the anterior versus posterior hippocampus, the ventromedial prefrontal cortex showed stronger connectivity with the posterior hippocampus. The limbic (ventral) striatum demonstrated a more homogeneous connectivity profile along the hippocampal long axis. This is the first study to generate a probabilistic atlas of the hippocampal structural connectivity with reward-related networks, which is essential to investigating how these circuits contribute to normative adaptive behavior and maladaptive behaviors in psychiatric illness. These findings describe nuanced structural connectivity that sets the foundation to better understand how the hippocampus influences reward-guided behavior in humans.
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Affiliation(s)
- Blake L Elliott
- Department of Psychology and Neuroscience, Temple University, Philadelphia, Pennsylvania, USA
| | - Raana A Mohyee
- Department of Psychology and Neuroscience, Temple University, Philadelphia, Pennsylvania, USA
| | - Ian C Ballard
- Department of Psychology, University of California, Riverside, California, USA
| | - Ingrid R Olson
- Department of Psychology and Neuroscience, Temple University, Philadelphia, Pennsylvania, USA
| | - Lauren M Ellman
- Department of Psychology and Neuroscience, Temple University, Philadelphia, Pennsylvania, USA
| | - Vishnu P Murty
- Department of Psychology and Neuroscience, Temple University, Philadelphia, Pennsylvania, USA
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25
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Mattia GM, Villain E, Nemmi F, Le Lann MV, Franceries X, Péran P. Investigating the discrimination ability of 3D convolutional neural networks applied to altered brain MRI parametric maps. Artif Intell Med 2024; 153:102897. [PMID: 38810471 DOI: 10.1016/j.artmed.2024.102897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 03/05/2024] [Accepted: 05/15/2024] [Indexed: 05/31/2024]
Abstract
Convolutional neural networks (CNNs) are gradually being recognized in the neuroimaging community as a powerful tool for image analysis. Despite their outstanding performances, some aspects of CNN functioning are still not fully understood by human operators. We postulated that the interpretability of CNNs applied to neuroimaging data could be improved by investigating their behavior when they are fed data with known characteristics. We analyzed the ability of 3D CNNs to discriminate between original and altered whole-brain parametric maps derived from diffusion-weighted magnetic resonance imaging. The alteration consisted in linearly changing the voxel intensity of either one (monoregion) or two (biregion) anatomical regions in each brain volume, but without mimicking any neuropathology. Performing ten-fold cross-validation and using a hold-out set for testing, we assessed the CNNs' discrimination ability according to the intensity of the altered regions, comparing the latter's size and relative position. Monoregion CNNs showed that the larger the modified region, the smaller the intensity increase needed to achieve good performances. Biregion CNNs systematically outperformed monoregion CNNs, but could only detect one of the two target regions when tested on the corresponding monoregion images. Exploiting prior information on training data allowed for a better understanding of CNN behavior, especially when altered regions were combined. This can inform about the complexity of CNN pattern retrieval and elucidate misclassified examples, particularly relevant for pathological data. The proposed analytical approach may serve to gain insights into CNN behavior and guide the design of enhanced detection systems exploiting our prior knowledge.
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Affiliation(s)
- Giulia Maria Mattia
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France.
| | - Edouard Villain
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France; LAAS CNRS, Université de Toulouse, CNRS, INSA, UPS, Toulouse, France.
| | - Federico Nemmi
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France.
| | | | - Xavier Franceries
- CRCT, Centre de Recherche en Cancérologie de Toulouse, Inserm, UPS, Toulouse, France.
| | - Patrice Péran
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France.
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26
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Joyce MKP, Uchendu S, Arnsten AFT. Stress and Inflammation Target Dorsolateral Prefrontal Cortex Function: Neural Mechanisms Underlying Weakened Cognitive Control. Biol Psychiatry 2024:S0006-3223(24)01420-3. [PMID: 38944141 DOI: 10.1016/j.biopsych.2024.06.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 06/15/2024] [Accepted: 06/22/2024] [Indexed: 07/01/2024]
Abstract
Most mental disorders involve dysfunction of the dorsolateral prefrontal cortex (dlPFC), a recently evolved brain region that subserves working memory, abstraction, and the thoughtful regulation of attention, action, and emotion. For example, schizophrenia, depression, long COVID, and Alzheimer's disease are all associated with dlPFC dysfunction, with neuropathology often being focused in layer III. The dlPFC has extensive top-down projections, e.g., to the posterior association cortices to regulate attention and to the subgenual cingulate cortex via the rostral and medial PFC to regulate emotional responses. However, the dlPFC is particularly dependent on arousal state and is very vulnerable to stress and inflammation, which are etiological and/or exacerbating factors for most mental disorders. The cellular mechanisms by which stress and inflammation impact the dlPFC are a topic of current research and are summarized in this review. For example, the layer III dlPFC circuits that generate working memory-related neuronal firing have unusual neurotransmission, depending on NMDA receptor and nicotinic α7 receptor actions that are blocked under inflammatory conditions by kynurenic acid. These circuits also have unusual neuromodulation, with the molecular machinery to magnify calcium signaling in spines needed to support persistent firing, which must be tightly regulated to prevent toxic calcium actions. Stress rapidly weakens layer III connectivity by driving feedforward calcium-cAMP (cyclic adenosine monophosphate) opening of potassium channels on spines. This is regulated by postsynaptic noradrenergic α2A adrenergic receptor and mGluR3 (metabotropic glutamate receptor 3) signaling but dysregulated by inflammation and/or chronic stress exposure, which contribute to spine loss. Treatments that strengthen the dlPFC via pharmacological (the α2A adrenergic receptor agonist, guanfacine) or repetitive transcranial magnetic stimulation manipulation provide a rational basis for therapy.
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Affiliation(s)
- Mary Kate P Joyce
- Department of Neuroscience, Yale Medical School, New Haven, Connecticut
| | - Stacy Uchendu
- Department of Neuroscience, Yale Medical School, New Haven, Connecticut
| | - Amy F T Arnsten
- Department of Neuroscience, Yale Medical School, New Haven, Connecticut.
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27
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Moazeni O, Northoff G, Batouli SAH. The subcortical brain regions influence the cortical areas during resting-state: an fMRI study. Front Hum Neurosci 2024; 18:1363125. [PMID: 39055533 PMCID: PMC11271203 DOI: 10.3389/fnhum.2024.1363125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 06/06/2024] [Indexed: 07/27/2024] Open
Abstract
Introduction Numerous modes or patterns of neural activity can be seen in the brain of individuals during the resting state. However, those functions do not persist long, and they are continuously altering in the brain. We have hypothesized that the brain activations during the resting state should themselves be responsible for this alteration of the activities. Methods Using the resting-state fMRI data of 63 healthy young individuals, we estimated the causality effects of each resting-state activation map on all other networks. The resting-state networks were identified, their causality effects on the other components were extracted, the networks with the top 20% of the causality were chosen, and the networks which were under the influence of those causal networks were also identified. Results Our results showed that the influence of each activation component over other components is different. The brain areas which showed the highest causality coefficients were subcortical regions, such as the brain stem, thalamus, and amygdala. On the other hand, nearly all the areas which were mostly under the causal effects were cortical regions. Discussion In summary, our results suggest that subcortical brain areas exert a higher influence on cortical regions during the resting state, which could help in a better understanding the dynamic nature of brain functions.
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Affiliation(s)
- Omid Moazeni
- Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Georg Northoff
- Mind, Brain Imaging and Neuroethics Research Unit, The Royal’s Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada
| | - Seyed Amir Hossein Batouli
- Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
- BrainEE Research Group, Tehran University of Medical Sciences, Tehran, Iran
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28
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Marecek S, Krajca T, Krupicka R, Sojka P, Nepozitek J, Varga Z, Mala C, Keller J, Waugh JL, Zogala D, Trnka J, Sonka K, Ruzicka E, Dusek P. Analysis of striatal connectivity corresponding to striosomes and matrix in de novo Parkinson's disease and isolated REM behavior disorder. NPJ Parkinsons Dis 2024; 10:124. [PMID: 38918417 PMCID: PMC11199557 DOI: 10.1038/s41531-024-00736-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Accepted: 06/07/2024] [Indexed: 06/27/2024] Open
Abstract
Striosomes and matrix are two compartments that comprise the striatum, each having its own distinct immunohistochemical properties, function, and connectivity. It is currently not clear whether prodromal or early manifest Parkinson's disease (PD) is associated with any striatal matrix or striosomal abnormality. Recently, a method of striatal parcellation using probabilistic tractography has been described and validated, using the distinct connectivity of these two compartments to identify voxels with striosome- and matrix-like connectivity. The goal of this study was to use this approach in tandem with DAT-SPECT, a method used to quantify the level of nigrostriatal denervation, to analyze the striatum in populations of de novo diagnosed, treatment-naïve patients with PD, isolated REM behavioral disorder (iRBD) patients, and healthy controls. We discovered a shift in striatal connectivity, which showed correlation with nigrostriatal denervation. Patients with PD exhibited a significantly higher matrix-like volume and associated connectivity than healthy controls and higher matrix-associated connectivity than iRBD patients. In contrast, the side with less pronounced nigrostriatal denervation in PD and iRBD patients showed a decrease in striosome-like volume and associated connectivity indices. These findings could point to a compensatory neuroplastic mechanism in the context of nigrostriatal denervation and open a new avenue in the investigation of the pathophysiology of Parkinson's disease.
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Affiliation(s)
- S Marecek
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.
| | - T Krajca
- Czech Technical University in Prague, Faculty of Biomedical Engineering, Kladno, Czech Republic
| | - R Krupicka
- Czech Technical University in Prague, Faculty of Biomedical Engineering, Kladno, Czech Republic
| | - P Sojka
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - J Nepozitek
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Z Varga
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - C Mala
- Czech Technical University in Prague, Faculty of Biomedical Engineering, Kladno, Czech Republic
| | - J Keller
- Department of Radiodiagnostics, Na Homolce Hospital, Prague, Czech Republic
| | - J L Waugh
- Division of Pediatric Neurology, Department of Pediatrics, University of Texas Southwestern, Dallas, TX, USA
| | - D Zogala
- Institute of Nuclear Medicine, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - J Trnka
- Institute of Nuclear Medicine, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - K Sonka
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - E Ruzicka
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - P Dusek
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
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Kaminski A, Xie H, Hawkins B, Vaidya CJ. Change in Striatal Functional Connectivity Networks Across Two Years Due to Stimulant Exposure in Childhood ADHD: Results from the ABCD Sample. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.18.24304470. [PMID: 38562872 PMCID: PMC10984058 DOI: 10.1101/2024.03.18.24304470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Widely prescribed for Attention-Deficit/Hyperactivity Disorder (ADHD), stimulants (e.g., methylphenidate) have been studied for their chronic effects on the brain in prospective designs controlling dosage and adherence. While controlled approaches are essential, they do not approximate real-world stimulant exposure contexts where medication interruptions, dosage non-compliance, and polypharmacy are common. Brain changes in real-world conditions are largely unexplored. To fill this gap, we capitalized on the observational design of the Adolescent Brain Cognitive Development (ABCD) study to examine effects of stimulants on large-scale bilateral cortical networks' resting-state functional connectivity (rs-FC) with 6 striatal regions (left and right caudate, putamen, and nucleus accumbens) across two years in children with ADHD. Bayesian hierarchical regressions revealed associations between stimulant exposure and change in rs-FC of multiple striatal-cortical networks, affiliated with executive and visuo-motor control, which were not driven by general psychotropic medication. Of these connections, three were selective to stimulants versus stimulant naive: reduced rs-FC between caudate and frontoparietal network, and between putamen and frontoparietal and visual networks. Comparison with typically developing children in the ABCD sample revealed stronger rs-FC reduction in stimulant-exposed children for putamen and frontoparietal and visual networks, suggesting a normalizing effect of stimulants. 14% of stimulant-exposed children demonstrated reliable reduction in ADHD symptoms, and were distinguished by stronger rs-FC reduction between right putamen and visual network. Thus, stimulant exposure for a two-year period under real-world conditions modulated striatal-cortical functional networks broadly, had a normalizing effect on a subset of networks, and was associated with potential therapeutic effects involving visual attentional control.
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Affiliation(s)
- Adam Kaminski
- Department of Psychology, Georgetown University, Washington, DC
| | - Hua Xie
- Children’s Research Institute, Children’s National Medical Center, Washington, DC
| | - Brylee Hawkins
- Department of Psychology, Georgetown University, Washington, DC
| | - Chandan J. Vaidya
- Department of Psychology, Georgetown University, Washington, DC
- Children’s Research Institute, Children’s National Medical Center, Washington, DC
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Coenen MA, Spikman JM, Smit M, Klooster J, Tijssen MAJ, Gerritsen MJJ. Moving on with (social) cognition in idiopathic cervical dystonia. J Int Neuropsychol Soc 2024; 30:464-470. [PMID: 38223955 DOI: 10.1017/s1355617723011426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/16/2024]
Abstract
OBJECTIVE Cervical dystonia (CD) is a movement disorder characterized by involuntary muscle contractions causing sustained twisting movements and abnormal postures of the neck and head. Assumed affected neuronal regions are the cortico-striatal-thalamo-cortical circuits, which are also involved in cognitive functioning. Indeed, impairments in different cognitive domains have been found in CD patients. However, to date studies have only investigated a limited range of cognitive functions within the same sample. In particular, social cognition (SC) is often missing from study designs. Hence, we aimed to evaluate a broad range of cognitive functions including SC in CD patients. METHOD In the present study 20 idiopathic CD patients and 40 age-, gender-, and IQ-matched healthy controls (HCs) were assessed with tests for non-SC (verbal memory, psychomotor speed, and executive functions) as well as for SC (emotion recognition, Theory of Mind (ToM), and empathy). RESULTS CD patients scored on average significantly lower than HC on tests for non-SC, but did not show impairments on any of the tests for SC. CONCLUSIONS The current study showed impairments in non-SC in CD, but intact social cognitive functions. These results underline the importance of recognizing non-motor symptoms in idiopathic CD patients, but emphasize a focus on identifying strengths and weaknesses in cognitive functioning as these influence daily life activities.
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Affiliation(s)
- Maraike A Coenen
- Department of Neurology, University of Groningen, University Medical Center, Groningen, The Netherlands
- Expertise Center Movement Disorders Groningen, University Medical Center Groningen (UMCG), Groningen, The Netherlands
| | - Jacoba M Spikman
- Department of Neurology, University of Groningen, University Medical Center, Groningen, The Netherlands
- Expertise Center Movement Disorders Groningen, University Medical Center Groningen (UMCG), Groningen, The Netherlands
| | - Marenka Smit
- Department of Neurology, University of Groningen, University Medical Center, Groningen, The Netherlands
- Expertise Center Movement Disorders Groningen, University Medical Center Groningen (UMCG), Groningen, The Netherlands
| | - Jesper Klooster
- Expertise Center Movement Disorders Groningen, University Medical Center Groningen (UMCG), Groningen, The Netherlands
- Tactus Verslavingszorg, Zwolle, The Netherlands
| | - Marina A J Tijssen
- Department of Neurology, University of Groningen, University Medical Center, Groningen, The Netherlands
- Expertise Center Movement Disorders Groningen, University Medical Center Groningen (UMCG), Groningen, The Netherlands
| | - Marleen J J Gerritsen
- Department of Neurology, University of Groningen, University Medical Center, Groningen, The Netherlands
- Expertise Center Movement Disorders Groningen, University Medical Center Groningen (UMCG), Groningen, The Netherlands
- Department of Medical Psychology, Deventer Ziekenhuis, Deventer, The Netherlands
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31
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Liu Q, Davey D, Jimmy J, Ajilore O, Klumpp H. Network Analysis of Behavioral Activation/Inhibition Systems and Brain Volume in Individuals With and Without Major Depressive Disorder or Social Anxiety Disorder. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024; 9:551-560. [PMID: 37659443 PMCID: PMC10904669 DOI: 10.1016/j.bpsc.2023.08.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 08/11/2023] [Accepted: 08/13/2023] [Indexed: 09/04/2023]
Abstract
BACKGROUND Social anxiety disorder (SAD) and major depressive disorder (MDD) are characterized by behavioral abnormalities in motivational systems, namely the behavioral inhibition system (BIS) and behavioral activation system (BAS). Limited studies indicate brain volume in regions that support emotion, learning/memory, reward, and cognitive functions relate to BIS/BAS. To increase understanding of BIS/BAS, the current study used a network approach. METHODS Patients with SAD (n = 59), patients with MDD (n = 64), and healthy control participants (n = 36) completed a BIS/BAS questionnaire and structural magnetic resonance imaging scans; volumetric regions of interest comprised cortical and limbic structures based on previous BIS/BAS studies. A Bayesian Gaussian graphical model was used for each diagnostic group, and groups were compared. Among network metrics, bridge centrality was of primary interest. Analysis of variance evaluated BIS/BAS behaviors between groups. RESULTS Bridge centrality showed hippocampus positively related to BAS, but not to BIS, in the MDD group; no findings were observed in the SAD or control groups. Yet, network density (i.e., overall strength of relationships between variables) and degree centrality (i.e., overall relationship between one variable to all other variables) showed that cortical (e.g., precuneus, medial orbitofrontal) and subcortical (e.g., amygdala, hippocampus) regions differed between diagnostic groups. Analysis of variance results showed BAS was lower in the MDD/SAD groups compared with the control group, while BIS was higher in the SAD group relative to the MDD group, which in turn was higher than the control group. CONCLUSIONS Preliminary findings indicate that network-level aberrations may underlie motivational abnormalities in MDD and SAD. Evidence of BIS/BAS differences builds on previous work that points to shared and distinct motivational differences in internalizing psychopathologies.
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Affiliation(s)
- Qimin Liu
- Department of Psychiatry, University of Illinois at Chicago, Chicago, Illinois
| | - Delaney Davey
- Department of Psychiatry, University of Illinois at Chicago, Chicago, Illinois.
| | - Jagan Jimmy
- Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, Ohio
| | - Olusola Ajilore
- Department of Psychiatry, University of Illinois at Chicago, Chicago, Illinois
| | - Heide Klumpp
- Department of Psychiatry, University of Illinois at Chicago, Chicago, Illinois
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Yan YJ, Hu HX, Zhang YJ, Wang LL, Pan YM, Lui SSY, Huang J, Chan RCK. Reward motivation adaptation in people with negative schizotypal features: development of a novel behavioural paradigm and identifying its neural correlates using resting-state functional connectivity analysis. Eur Arch Psychiatry Clin Neurosci 2024; 274:941-953. [PMID: 37395812 DOI: 10.1007/s00406-023-01640-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 06/13/2023] [Indexed: 07/04/2023]
Abstract
Reward motivation in individuals with high levels of negative schizotypal traits (NS) has been found to be lower than that in their counterparts. But it is unclear that whether their reward motivation adaptively changes with external effort-reward ratio, and what resting-state functional connectivity (rsFC) is associated with this change. Thirty-five individuals with high levels of NS and 44 individuals with low levels of NS were recruited. A 3T resting-state functional brain scan and a novel reward motivation adaptation behavioural task were administrated in all participants. The behavioural task was manipulated with three conditions (effort > reward condition vs. effort < reward condition vs. effort = reward condition). Under each condition were rated 'wanting' and 'liking' for rewards. The seed-based voxel-wise rsFC analysis was conducted to explore the rsFCs associated with the 'wanting' and 'liking' ratings in individuals with high levels of NS. 'Wanting' and 'liking' ratings of individuals with high levels of NS significantly declined in the effort > reward condition but did not rebound as high as their counterparts in the effort < reward condition. The rsFCs in NS group associated with these ratings were altered. The altered rsFCs in NS group involved regions in the prefrontal lobe, dopaminergic brain regions (ventral tegmental area, substantia nigra), hippocampus, thalamus and cerebellum. Individuals with high levels of NS manifested their reward motivation adaptation impairment as a failure of adjustment adaptively during effort-reward imbalance condition and altered rsFCs in prefrontal, dopaminergic and other brain regions.
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Affiliation(s)
- Yong-Jie Yan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, People's Republic of China
- Sino-Danish College of University of Chinese Academy of Sciences, Beijing, People's Republic of China
- Sino-Danish Centre for Education and Research, Beijing, People's Republic of China
| | - Hui-Xin Hu
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, People's Republic of China
- Department of Psychology, The University of Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Yi-Jing Zhang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, People's Republic of China
- Department of Psychology, The University of Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Ling-Ling Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, People's Republic of China
- Department of Psychology, The University of Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Yi-Ming Pan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, People's Republic of China
- Department of Psychology, The University of Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Simon S Y Lui
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong Special Administrative Region , People's Republic of China
| | - Jia Huang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, People's Republic of China.
- Department of Psychology, The University of Chinese Academy of Sciences, Beijing, People's Republic of China.
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, People's Republic of China.
- Sino-Danish College of University of Chinese Academy of Sciences, Beijing, People's Republic of China.
- Department of Psychology, The University of Chinese Academy of Sciences, Beijing, People's Republic of China.
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Thomas-Odenthal F, Stein F, Vogelbacher C, Alexander N, Bechdolf A, Bermpohl F, Bröckel K, Brosch K, Correll CU, Evermann U, Falkenberg I, Fallgatter A, Flinkenflügel K, Grotegerd D, Hahn T, Hautzinger M, Jansen A, Juckel G, Krug A, Lambert M, Leicht G, Leopold K, Meinert S, Mikolas P, Mulert C, Nenadić I, Pfarr JK, Reif A, Ringwald K, Ritter P, Stamm T, Straube B, Teutenberg L, Thiel K, Usemann P, Winter A, Wroblewski A, Dannlowski U, Bauer M, Pfennig A, Kircher T. Larger putamen in individuals at risk and with manifest bipolar disorder. Psychol Med 2024:1-11. [PMID: 38801091 DOI: 10.1017/s0033291724001193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
BACKGROUND Individuals at risk for bipolar disorder (BD) have a wide range of genetic and non-genetic risk factors, like a positive family history of BD or (sub)threshold affective symptoms. Yet, it is unclear whether these individuals at risk and those diagnosed with BD share similar gray matter brain alterations. METHODS In 410 male and female participants aged 17-35 years, we compared gray matter volume (3T MRI) between individuals at risk for BD (as assessed using the EPIbipolar scale; n = 208), patients with a DSM-IV-TR diagnosis of BD (n = 87), and healthy controls (n = 115) using voxel-based morphometry in SPM12/CAT12. We applied conjunction analyses to identify similarities in gray matter volume alterations in individuals at risk and BD patients, relative to healthy controls. We also performed exploratory whole-brain analyses to identify differences in gray matter volume among groups. ComBat was used to harmonize imaging data from seven sites. RESULTS Both individuals at risk and BD patients showed larger volumes in the right putamen than healthy controls. Furthermore, individuals at risk had smaller volumes in the right inferior occipital gyrus, and BD patients had larger volumes in the left precuneus, compared to healthy controls. These findings were independent of course of illness (number of lifetime manic and depressive episodes, number of hospitalizations), comorbid diagnoses (major depressive disorder, attention-deficit hyperactivity disorder, anxiety disorder, eating disorder), familial risk, current disease severity (global functioning, remission status), and current medication intake. CONCLUSIONS Our findings indicate that alterations in the right putamen might constitute a vulnerability marker for BD.
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Affiliation(s)
- Florian Thomas-Odenthal
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Universities of Marburg and Gießen, Marburg, Germany
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Universities of Marburg and Gießen, Marburg, Germany
| | - Christoph Vogelbacher
- Center for Mind, Brain and Behavior (CMBB), Universities of Marburg and Gießen, Marburg, Germany
- Translational Clinical Psychology, Department of Psychology, Philipps-University Marburg, Marburg, Germany
| | - Nina Alexander
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Universities of Marburg and Gießen, Marburg, Germany
| | - Andreas Bechdolf
- Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, Vivantes Hospital Am Urban and Vivantes Hospital Im Friedrichshain, Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Campus Mitte, Berlin, Germany
| | - Felix Bermpohl
- Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Kyra Bröckel
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Universities of Marburg and Gießen, Marburg, Germany
- Department of Psychiatry, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA
| | - Christoph U Correll
- Department of Psychiatry, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany
- Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Ulrika Evermann
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Universities of Marburg and Gießen, Marburg, Germany
| | - Irina Falkenberg
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Universities of Marburg and Gießen, Marburg, Germany
| | - Andreas Fallgatter
- Department of Psychiatry and Psychotherapy, University of Tübingen, Germany; German Center for Mental Health (DZPG), partner site Tübingen, Germany
| | - Kira Flinkenflügel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tim Hahn
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Martin Hautzinger
- Department of Psychology, Clinical Psychology and Psychotherapy, Eberhard Karls University, Tübingen, Germany
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Universities of Marburg and Gießen, Marburg, Germany
- Core-Facility BrainImaging, Faculty of Medicine, Philipps-Universität Marburg, Marburg, Germany
| | - Georg Juckel
- Department of Psychiatry, Ruhr University Bochum, Bochum, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, University Hospital of Bonn, Bonn, Germany
| | - Martin Lambert
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gregor Leicht
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Karolina Leopold
- Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, Vivantes Hospital Am Urban and Vivantes Hospital Im Friedrichshain, Berlin, Germany
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany
| | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Pavol Mikolas
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany
| | - Christoph Mulert
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Psychiatry, Justus Liebig University, Giessen, Germany
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Universities of Marburg and Gießen, Marburg, Germany
| | - Julia-Katharina Pfarr
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Universities of Marburg and Gießen, Marburg, Germany
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt, Germany
| | - Kai Ringwald
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Universities of Marburg and Gießen, Marburg, Germany
| | - Philipp Ritter
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany
| | - Thomas Stamm
- Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Berlin, Germany
- Department of Clinical Psychiatry and Psychotherapy Brandenburg Medical School, Neuruppin, Germany
| | - Benjamin Straube
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Universities of Marburg and Gießen, Marburg, Germany
| | - Lea Teutenberg
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Universities of Marburg and Gießen, Marburg, Germany
| | - Katharina Thiel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Paula Usemann
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Universities of Marburg and Gießen, Marburg, Germany
| | - Alexandra Winter
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Adrian Wroblewski
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Universities of Marburg and Gießen, Marburg, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Michael Bauer
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany
| | - Andrea Pfennig
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Universities of Marburg and Gießen, Marburg, Germany
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Westerman HB, Suarez GL, Richmond-Rakerd LS, Nusslock R, Klump KL, Burt SA, Hyde LW. Exposure to community violence as a mechanism linking neighborhood socioeconomic disadvantage and neural responses to reward. Soc Cogn Affect Neurosci 2024; 19:nsae029. [PMID: 38619118 PMCID: PMC11079326 DOI: 10.1093/scan/nsae029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 02/23/2024] [Accepted: 04/10/2024] [Indexed: 04/16/2024] Open
Abstract
A growing literature links socioeconomic disadvantage and adversity to brain function, including disruptions in reward processing. Less research has examined exposure to community violence (ECV) as a specific adversity related to differences in reward-related brain activation, despite the prevalence of community violence exposure for those living in disadvantaged contexts. The current study tested whether ECV was associated with reward-related ventral striatum (VS) activation after accounting for familial factors associated with differences in reward-related activation (e.g. parenting and family income). Moreover, we tested whether ECV is a mechanism linking socioeconomic disadvantage to reward-related activation in the VS. We utilized data from 444 adolescent twins sampled from birth records and residing in neighborhoods with above-average levels of poverty. ECV was associated with greater reward-related VS activation, and the association remained after accounting for family-level markers of disadvantage. We identified an indirect pathway in which socioeconomic disadvantage predicted greater reward-related activation via greater ECV, over and above family-level adversity. These findings highlight the unique impact of community violence exposure on reward processing and provide a mechanism through which socioeconomic disadvantage may shape brain function.
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Affiliation(s)
- Heidi B Westerman
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Gabriela L Suarez
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - Robin Nusslock
- Department of Psychology and Institute for Policy Research, Northwestern University, Evanston, IL 60208, USA
| | - Kelly L Klump
- Department of Psychology and Institute for Policy Research, Northwestern University, Evanston, IL 60208, USA
| | - S Alexandra Burt
- Department of Psychology, Michigan State University, East Lansing, MI 48824, USA
| | - Luke W Hyde
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA
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Khandelwal N, Kulkarni A, Ahmed NI, Harper M, Konopka G, Gibson JR. FOXP1 regulates the development of excitatory synaptic inputs onto striatal neurons and induces phenotypic reversal with reinstatement. SCIENCE ADVANCES 2024; 10:eadm7039. [PMID: 38701209 PMCID: PMC11068015 DOI: 10.1126/sciadv.adm7039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 04/01/2024] [Indexed: 05/05/2024]
Abstract
Long-range glutamatergic inputs originating from the cortex and thalamus are indispensable for striatal development, providing the foundation for motor and cognitive functions. Despite their significance, transcriptional regulation governing these inputs remains largely unknown. We investigated the role of a transcription factor encoded by a high-risk autism-associated gene, FOXP1, in sculpting glutamatergic inputs onto spiny projection neurons (SPNs) within the striatum. We find a neuron subtype-specific role of FOXP1 in strengthening and maturing glutamatergic inputs onto dopamine receptor 2-expressing SPNs (D2 SPNs). We also find that FOXP1 promotes synaptically driven excitability in these neurons. Using single-nuclei RNA sequencing, we identify candidate genes that mediate these cell-autonomous processes through postnatal FOXP1 function at the post-synapse. Last, we demonstrate that postnatal FOXP1 reinstatement rescues electrophysiological deficits, cell type-specific gene expression changes, and behavioral phenotypes. Together, this study enhances our understanding of striatal circuit development and provides proof of concept for a therapeutic approach for FOXP1 syndrome and other neurodevelopmental disorders.
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Affiliation(s)
- Nitin Khandelwal
- Department of Neuroscience and Peter O’Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Ashwinikumar Kulkarni
- Department of Neuroscience and Peter O’Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Newaz I. Ahmed
- Department of Neuroscience and Peter O’Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Matthew Harper
- Department of Neuroscience and Peter O’Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
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Moisseinen N, Ahveninen L, Martínez‐Molina N, Sairanen V, Melkas S, Kleber B, Sihvonen AJ, Särkämö T. Choir singing is associated with enhanced structural connectivity across the adult lifespan. Hum Brain Mapp 2024; 45:e26705. [PMID: 38716698 PMCID: PMC11077432 DOI: 10.1002/hbm.26705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 03/06/2024] [Accepted: 04/21/2024] [Indexed: 05/12/2024] Open
Abstract
The global ageing of populations calls for effective, ecologically valid methods to support brain health across adult life. Previous evidence suggests that music can promote white matter (WM) microstructure and grey matter (GM) volume while supporting auditory and cognitive functioning and emotional well-being as well as counteracting age-related cognitive decline. Adding a social component to music training, choir singing is a popular leisure activity among older adults, but a systematic account of its potential to support healthy brain structure, especially with regard to ageing, is currently missing. The present study used quantitative anisotropy (QA)-based diffusion MRI connectometry and voxel-based morphometry to explore the relationship of lifetime choir singing experience and brain structure at the whole-brain level. Cross-sectional multiple regression analyses were carried out in a large, balanced sample (N = 95; age range 21-88) of healthy adults with varying levels of choir singing experience across the whole age range and within subgroups defined by age (young, middle-aged, and older adults). Independent of age, choir singing experience was associated with extensive increases in WM QA in commissural, association, and projection tracts across the brain. Corroborating previous work, these overlapped with language and limbic networks. Enhanced corpus callosum microstructure was associated with choir singing experience across all subgroups. In addition, choir singing experience was selectively associated with enhanced QA in the fornix in older participants. No associations between GM volume and choir singing were found. The present study offers the first systematic account of amateur-level choir singing on brain structure. While no evidence for counteracting GM atrophy was found, the present evidence of enhanced structural connectivity coheres well with age-typical structural changes. Corroborating previous behavioural studies, the present results suggest that regular choir singing holds great promise for supporting brain health across the adult life span.
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Affiliation(s)
- Nella Moisseinen
- Cognitive Brain Research Unit, Centre of Excellence in Music, Mind, Body and the Brain, Department of Psychology and Logopedics, Faculty of MedicineUniversity of HelsinkiHelsinkiFinland
| | - Lotta Ahveninen
- Cognitive Brain Research Unit, Centre of Excellence in Music, Mind, Body and the Brain, Department of Psychology and Logopedics, Faculty of MedicineUniversity of HelsinkiHelsinkiFinland
| | - Noelia Martínez‐Molina
- Cognitive Brain Research Unit, Centre of Excellence in Music, Mind, Body and the Brain, Department of Psychology and Logopedics, Faculty of MedicineUniversity of HelsinkiHelsinkiFinland
- Center for Brain and Cognition, Department of Information and Communication TechnologiesUniversity Pompeu FabraBarcelonaSpain
| | - Viljami Sairanen
- Department of RadiologyKanta‐Häme Central HospitalHämeenlinnaFinland
- Baby Brain Activity Center, Children's HospitalHelsinki University Hospital and University of HelsinkiHelsinkiFinland
| | - Susanna Melkas
- Clinical Neurosciences, NeurologyUniversity of HelsinkiHelsinkiFinland
| | - Boris Kleber
- Center for Music in the Brain, Department of Clinical MedicineAarhus University and The Royal Academy of Music Aarhus/AalborgAarhusDenmark
| | - Aleksi J. Sihvonen
- Cognitive Brain Research Unit, Centre of Excellence in Music, Mind, Body and the Brain, Department of Psychology and Logopedics, Faculty of MedicineUniversity of HelsinkiHelsinkiFinland
- Centre for Clinical Research, School of Health and Rehabilitation SciencesUniversity of QueenslandBrisbaneAustralia
- Department of NeurologyHelsinki University HospitalHelsinkiFinland
| | - Teppo Särkämö
- Cognitive Brain Research Unit, Centre of Excellence in Music, Mind, Body and the Brain, Department of Psychology and Logopedics, Faculty of MedicineUniversity of HelsinkiHelsinkiFinland
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37
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Robbins TW, Banca P, Belin D. From compulsivity to compulsion: the neural basis of compulsive disorders. Nat Rev Neurosci 2024; 25:313-333. [PMID: 38594324 DOI: 10.1038/s41583-024-00807-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/04/2024] [Indexed: 04/11/2024]
Abstract
Compulsive behaviour, an apparently irrational perseveration in often maladaptive acts, is a potential transdiagnostic symptom of several neuropsychiatric disorders, including obsessive-compulsive disorder and addiction, and may reflect the severe manifestation of a dimensional trait termed compulsivity. In this Review, we examine the psychological basis of compulsions and compulsivity and their underlying neural circuitry using evidence from human neuroimaging and animal models. Several main elements of this circuitry are identified, focused on fronto-striatal systems implicated in goal-directed behaviour and habits. These systems include the orbitofrontal, prefrontal, anterior cingulate and insular cortices and their connections with the basal ganglia as well as sensoriomotor and parietal cortices and cerebellum. We also consider the implications for future classification of impulsive-compulsive disorders and their treatment.
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Affiliation(s)
- Trevor W Robbins
- Behavioural and Clinical Neuroscience Institute, Department of Psychology, University of Cambridge, Cambridge, UK.
| | - Paula Banca
- Behavioural and Clinical Neuroscience Institute, Department of Psychology, University of Cambridge, Cambridge, UK
| | - David Belin
- Behavioural and Clinical Neuroscience Institute, Department of Psychology, University of Cambridge, Cambridge, UK
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38
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Zhou H, Gong L, Su C, Teng B, Xi W, Li X, Geng F, Hu Y. White matter integrity of right frontostriatal circuit predicts internet addiction severity among internet gamers. Addict Biol 2024; 29:e13399. [PMID: 38711213 PMCID: PMC11074389 DOI: 10.1111/adb.13399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 03/25/2024] [Accepted: 04/16/2024] [Indexed: 05/08/2024]
Abstract
Excessive use of the internet, which is a typical scenario of self-control failure, could lead to potential consequences such as anxiety, depression, and diminished academic performance. However, the underlying neuropsychological mechanisms remain poorly understood. This study aims to investigate the structural basis of self-control and internet addiction. In a cohort of 96 internet gamers, we examined the relationships among grey matter volume and white matter integrity within the frontostriatal circuits and internet addiction severity, as well as self-control measures. The results showed a significant and negative correlation between dACC grey matter volume and internet addiction severity (p < 0.001), but not with self-control. Subsequent tractography from the dACC to the bilateral ventral striatum (VS) was conducted. The fractional anisotropy (FA) and radial diffusivity of dACC-right VS pathway was negatively (p = 0.011) and positively (p = 0.020) correlated with internet addiction severity, respectively, and the FA was also positively correlated with self-control (p = 0.036). These associations were not observed for the dACC-left VS pathway. Further mediation analysis demonstrated a significant complete mediation effect of self-control on the relationship between FA of the dACC-right VS pathway and internet addiction severity. Our findings suggest that the dACC-right VS pathway is a critical neural substrate for both internet addiction and self-control. Deficits in this pathway may lead to impaired self-regulation over internet usage, exacerbating the severity of internet addiction.
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Affiliation(s)
- Hui Zhou
- The State Key Lab of Brain‐Machine IntelligenceZhejiang UniversityHangzhouChina
- Department of Psychology and Behavioral SciencesZhejiang UniversityHangzhouChina
| | - Liangyu Gong
- Department of Psychology and Behavioral SciencesZhejiang UniversityHangzhouChina
| | - Conghui Su
- Department of Psychology and Behavioral SciencesZhejiang UniversityHangzhouChina
| | - Binyu Teng
- Department of Psychology and Behavioral SciencesZhejiang UniversityHangzhouChina
| | - Wan Xi
- Department of Psychology and Behavioral SciencesZhejiang UniversityHangzhouChina
| | - Xiumei Li
- Department of Psychology and Behavioral SciencesZhejiang UniversityHangzhouChina
| | - Fengji Geng
- Department of Curriculum and Learning SciencesZhejiang University, Zijingang CampusHangzhouChina
| | - Yuzheng Hu
- The State Key Lab of Brain‐Machine IntelligenceZhejiang UniversityHangzhouChina
- Department of Psychology and Behavioral SciencesZhejiang UniversityHangzhouChina
- MOE Frontiers Science Center for Brain Science & Brain‐Machine IntegrationZhejiang UniversityHangzhouChina
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of MedicineHangzhou City UniversityHangzhouChina
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39
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Dam S, Batail JM, Robert GH, Drapier D, Maurel P, Coloigner J. Structural Brain Connectivity and Treatment Improvement in Mood Disorder. Brain Connect 2024; 14:239-251. [PMID: 38534988 DOI: 10.1089/brain.2023.0063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2024] Open
Abstract
Background: The treatment of depressive episodes is well established, with clearly demonstrated effectiveness of antidepressants and psychotherapies. However, more than one-third of depressed patients do not respond to treatment. Identifying the brain structural basis of treatment-resistant depression could prevent useless pharmacological prescriptions, adverse events, and lost therapeutic opportunities. Methods: Using diffusion magnetic resonance imaging, we performed structural connectivity analyses on a cohort of 154 patients with mood disorder (MD) and 77 sex- and age-matched healthy control (HC) participants. To assess illness improvement, the patients with MD went through two clinical interviews at baseline and at 6-month follow-up and were classified based on the Clinical Global Impression-Improvement score into improved or not-improved (NI). First, the threshold-free network-based statistics (NBS) was conducted to measure the differences in regional network architecture. Second, nonparametric permutations tests were performed on topological metrics based on graph theory to examine differences in connectome organization. Results: The threshold-free NBS revealed impaired connections involving regions of the basal ganglia in patients with MD compared with HC. Significant increase of local efficiency and clustering coefficient was found in the lingual gyrus, insula, and amygdala in the MD group. Compared with the NI, the improved displayed significantly reduced network integration and segregation, predominately in the default-mode regions, including the precuneus, middle temporal lobe, and rostral anterior cingulate. Conclusions: This study highlights the involvement of regions belonging to the basal ganglia, the fronto-limbic network, and the default mode network, leading to a better understanding of MD disease and its unfavorable outcome.
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Affiliation(s)
- Sébastien Dam
- Univ Rennes, Inria, CNRS, IRISA, INSERM, Empenn U1228 ERL, Rennes, France
| | - Jean-Marie Batail
- Academic Psychiatry Department, Centre Hospitalier Guillaume Régnier, Rennes, France
- CIC 1414, CHU de Rennes, INSERM, Rennes, France
| | - Gabriel H Robert
- Univ Rennes, Inria, CNRS, IRISA, INSERM, Empenn U1228 ERL, Rennes, France
- Academic Psychiatry Department, Centre Hospitalier Guillaume Régnier, Rennes, France
- CIC 1414, CHU de Rennes, INSERM, Rennes, France
| | - Dominique Drapier
- Academic Psychiatry Department, Centre Hospitalier Guillaume Régnier, Rennes, France
- CIC 1414, CHU de Rennes, INSERM, Rennes, France
| | - Pierre Maurel
- Univ Rennes, Inria, CNRS, IRISA, INSERM, Empenn U1228 ERL, Rennes, France
| | - Julie Coloigner
- Univ Rennes, Inria, CNRS, IRISA, INSERM, Empenn U1228 ERL, Rennes, France
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40
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Wallace R, Fricchione G. Stress-induced failure of embodied cognition: A general model. Biosystems 2024; 239:105193. [PMID: 38522638 DOI: 10.1016/j.biosystems.2024.105193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 03/18/2024] [Indexed: 03/26/2024]
Abstract
We derive the classic, ubiquitous, but enigmatic Yerkes-Dodson effect of applied stress on real-world performance in a highly natural manner from fundamental assumptions on cognition and its dynamics, as constrained by the asymptotic limit theorems of information and control theories. We greatly extend the basic approach by showing how differences in an underlying probability model can affect the dynamics of decision across a broad range of cognitive enterprise. Most particularly, however, this development may help inform our understanding of the different expressions of human psychopathology. A 'thin tailed' underlying distribution appears to characterize expression of 'ordinary' situational depression/anxiety symptoms of conditions like burnout induced by toxic stress. A 'fat tailed' underlying distribution appears to be associated with brain structure and function abnormalities leading to serious mental illness and poor decision making where symptoms are not only emerging in the setting of severe stress but may also appear in a highly punctuated manner at relatively lower levels of stress. A simple hierarchical optimization shows how environmental 'shadow price' constraints can buffer or aggravate the effects of stress and arousal. Extension of the underlying theory to other patterns of pathology, like immune disorders and premature aging, seems apt. Applications to the punctuated dynamics of institutional cognition under stress also appear possible. Ultimately, the probability models studied here can be converted to new statistical tools for the analysis of observational and experimental data.
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Affiliation(s)
- Rodrick Wallace
- The New York State Psychiatric Institute, Harvard University, United States of America.
| | - Gregory Fricchione
- The New York State Psychiatric Institute, Harvard University, United States of America.
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41
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Lee SMK, Law NSH, Tong SX. Unraveling Temporal Dynamics of Multidimensional Statistical Learning in Implicit and Explicit Systems: An X-Way Hypothesis. Cogn Sci 2024; 48:e13437. [PMID: 38564270 DOI: 10.1111/cogs.13437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 03/05/2024] [Accepted: 03/13/2024] [Indexed: 04/04/2024]
Abstract
Statistical learning enables humans to involuntarily process and utilize different kinds of patterns from the environment. However, the cognitive mechanisms underlying the simultaneous acquisition of multiple regularities from different perceptual modalities remain unclear. A novel multidimensional serial reaction time task was developed to test 40 participants' ability to learn simple first-order and complex second-order relations between uni-modal visual and cross-modal audio-visual stimuli. Using the difference in reaction times between sequenced and random stimuli as the index of domain-general statistical learning, a significant difference and dissociation of learning occurred between the initial and final learning phases. Furthermore, we used a negative and positive occurrence-frequency-and-reaction-time correlation to indicate implicit and explicit learning, respectively, and found that learning simple uni-modal patterns involved an implicit-to-explicit segue, while acquiring complex cross-modal patterns required an explicit-to-implicit segue, resulting in a X-shape crossing of regularity learning. Thus, we propose an X-way hypothesis to elucidate the dynamic interplay between the implicit and explicit systems at two distinct stages when acquiring various regularities in a multidimensional probability space.
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Affiliation(s)
- Stephen Man-Kit Lee
- Academic Unit of Human Communication, Learning, and Development, The University of Hong Kong
| | - Nicole Sin Hang Law
- Academic Unit of Human Communication, Learning, and Development, The University of Hong Kong
- Department of Education, University of Oxford
| | - Shelley Xiuli Tong
- Academic Unit of Human Communication, Learning, and Development, The University of Hong Kong
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42
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Petersen KA, Zong W, Depoy LM, Scott MR, Shankar VG, Burns JN, Cerwensky AJ, Kim SM, Ketchesin KD, Tseng GC, McClung CA. Comparative rhythmic transcriptome profiling of human and mouse striatal subregions. Neuropsychopharmacology 2024; 49:796-805. [PMID: 38182777 PMCID: PMC10948754 DOI: 10.1038/s41386-023-01788-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 12/14/2023] [Accepted: 12/19/2023] [Indexed: 01/07/2024]
Abstract
The human striatum can be subdivided into the caudate, putamen, and nucleus accumbens (NAc). In mice, this roughly corresponds to the dorsal medial striatum (DMS), dorsal lateral striatum (DLS), and ventral striatum (NAc). Each of these structures have some overlapping and distinct functions related to motor control, cognitive processing, motivation, and reward. Previously, we used a "time-of-death" approach to identify diurnal rhythms in RNA transcripts in these three human striatal subregions. Here, we identify molecular rhythms across similar striatal subregions collected from C57BL/6J mice across 6 times of day and compare results to the human striatum. Pathway analysis indicates a large degree of overlap between species in rhythmic transcripts involved in processes like cellular stress, energy metabolism, and translation. Notably, a striking finding in humans is that small nucleolar RNAs (snoRNAs) and long non-coding RNAs (lncRNAs) are among the most highly rhythmic transcripts in the NAc and this is not conserved in mice, suggesting the rhythmicity of RNA processing in this region could be uniquely human. Furthermore, the peak timing of overlapping rhythmic genes is altered between species, but not consistently in one direction. Taken together, these studies reveal conserved as well as distinct transcriptome rhythms across the human and mouse striatum and are an important step in understanding the normal function of diurnal rhythms in humans and model organisms in these regions and how disruption could lead to pathology.
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Affiliation(s)
- Kaitlyn A Petersen
- Department of Psychiatry, Translational Neuroscience Program, Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA
| | - Wei Zong
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lauren M Depoy
- Department of Psychiatry, Translational Neuroscience Program, Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA
| | - Madeline R Scott
- Department of Psychiatry, Translational Neuroscience Program, Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA
| | - Vaishnavi G Shankar
- Department of Psychiatry, Translational Neuroscience Program, Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jennifer N Burns
- Department of Psychiatry, Translational Neuroscience Program, Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA
| | - Allison J Cerwensky
- Department of Psychiatry, Translational Neuroscience Program, Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA
| | - Sam-Moon Kim
- Department of Psychiatry, Translational Neuroscience Program, Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kyle D Ketchesin
- Department of Psychiatry, Translational Neuroscience Program, Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA
| | - George C Tseng
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Colleen A McClung
- Department of Psychiatry, Translational Neuroscience Program, Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA.
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43
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Chu Z, Wang X, Cheng Y, Yuan L, Jin M, Lu Y, Shen Z, Xu X. Subcortical neural mechanisms of childhood trauma impacts on personality traits. Asian J Psychiatr 2024; 94:103966. [PMID: 38364748 DOI: 10.1016/j.ajp.2024.103966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 02/05/2024] [Accepted: 02/07/2024] [Indexed: 02/18/2024]
Abstract
This study aims to explore the relationships between childhood trauma (CT), personality traits, and subcortical structures. 171 healthy individuals completed the Childhood Trauma Questionnaire (CTQ), the Neuroticism-Extraversion-Openness Five-Factor Inventory (NEO-FFI), and underwent 3D T1-weighted MRI scans. Linear regression analyses indicated the complex relationship between CT, personality traits, and subcortical gray matter volume (GMV). Mediation analyses revealed that the right hippocampal GMV partially mediated the effects of CT on neuroticism. These findings suggest that CT affects the development of the Big Five personality traits, and alterations in subcortical structures are closely related to this process. Altered GMV in the right hippocampus may be a key neural mechanism for CT-induced neuroticism.
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Affiliation(s)
- Zhaosong Chu
- Department of Psychiatry, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China; Yunnan Province Clinical Research Center for Mental Health, Kunming 650032, China
| | - Xin Wang
- Department of Psychiatry, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China; Yunnan Province Clinical Research Center for Mental Health, Kunming 650032, China
| | - Yuqi Cheng
- Department of Psychiatry, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China; Yunnan Province Clinical Research Center for Mental Health, Kunming 650032, China
| | - Lijin Yuan
- Department of Psychiatry, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China; Yunnan Province Clinical Research Center for Mental Health, Kunming 650032, China
| | - Mengyun Jin
- Department of Psychiatry, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China; Yunnan Province Clinical Research Center for Mental Health, Kunming 650032, China
| | - Yi Lu
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Zonglin Shen
- Department of Psychiatry, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China.
| | - Xiufeng Xu
- Yunnan Province Clinical Research Center for Mental Health, Kunming 650032, China.
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44
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Hengenius JB, Ehrenkranz R, Zhu X, Glynn NW, Huppert TJ, Rosano C. Fatigue and perceived energy in a sample of older adults over 10 years: A resting state functional connectivity study of neural correlates. Exp Gerontol 2024; 188:112388. [PMID: 38432051 PMCID: PMC11033705 DOI: 10.1016/j.exger.2024.112388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 02/19/2024] [Accepted: 02/29/2024] [Indexed: 03/05/2024]
Abstract
PURPOSE Declining energy and increasing fatigue, common in older age, predict neurodegenerative conditions, but their neural substrates are not known. We examined brain resting state connectivity in relation to declining self-reported energy levels (SEL) and occurrence of fatigue over time. METHODS We examined resting-state functional MRI in 272 community dwelling older adults participating in the Health Aging and Body Composition Study (mean age 83 years; 57.4 % female; 40.8 % Black) with measures of fatigue and SEL collected at regular intervals over the prior ten years. Functional connectivity (FC) between cortex and striatum was examined separately for sensorimotor, executive, and limbic functional subregions. Logistic regression tested the association of FC in each network with prior fatigue state (reporting fatigue at least once or never reporting fatigue), and with SEL decline (divided into stable or declining SEL groups) and adjusted for demographic, physical function, mood, cognition, and comorbidities. RESULTS Higher cortico-striatal FC in the right limbic network was associated with lower odds of reporting fatigue (better) at least once during the study period (adjusted odds ratio [95 % confidence interval], p-value: (0.747 [0.582, 0.955], 0.020), independent of SEL. Higher cortico-striatal FC in the right executive network was associated with higher odds of declining SEL (worse) during the study period (adjusted odds ratio [95 % confidence interval], p-value: (1.31 [1.01, 1.69], 0.041), independent of fatigue. Associations with other networks were not significant. CONCLUSIONS In this cohort of older adults, the cortico-striatal functional connectivity of declining SEL appears distinct from that underlying fatigue. Studies to further assess the neural correlates of energy and fatigue, and their independent contribution to neurodegenerative conditions are warranted.
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Affiliation(s)
- James B Hengenius
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Rebecca Ehrenkranz
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Xiaonan Zhu
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Nancy W Glynn
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Theodore J Huppert
- Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - Caterina Rosano
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
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45
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Fitz H, Hagoort P, Petersson KM. Neurobiological Causal Models of Language Processing. NEUROBIOLOGY OF LANGUAGE (CAMBRIDGE, MASS.) 2024; 5:225-247. [PMID: 38645618 PMCID: PMC11025648 DOI: 10.1162/nol_a_00133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 12/18/2023] [Indexed: 04/23/2024]
Abstract
The language faculty is physically realized in the neurobiological infrastructure of the human brain. Despite significant efforts, an integrated understanding of this system remains a formidable challenge. What is missing from most theoretical accounts is a specification of the neural mechanisms that implement language function. Computational models that have been put forward generally lack an explicit neurobiological foundation. We propose a neurobiologically informed causal modeling approach which offers a framework for how to bridge this gap. A neurobiological causal model is a mechanistic description of language processing that is grounded in, and constrained by, the characteristics of the neurobiological substrate. It intends to model the generators of language behavior at the level of implementational causality. We describe key features and neurobiological component parts from which causal models can be built and provide guidelines on how to implement them in model simulations. Then we outline how this approach can shed new light on the core computational machinery for language, the long-term storage of words in the mental lexicon and combinatorial processing in sentence comprehension. In contrast to cognitive theories of behavior, causal models are formulated in the "machine language" of neurobiology which is universal to human cognition. We argue that neurobiological causal modeling should be pursued in addition to existing approaches. Eventually, this approach will allow us to develop an explicit computational neurobiology of language.
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Affiliation(s)
- Hartmut Fitz
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Neurobiology of Language Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Peter Hagoort
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Neurobiology of Language Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Karl Magnus Petersson
- Neurobiology of Language Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Faculty of Medicine and Biomedical Sciences, University of Algarve, Faro, Portugal
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46
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Gentenaar M, Meulmeester FL, van der Burg XR, Hoekstra AT, Hunt H, Kroon J, van Roon-Mom WMC, Meijer OC. Glucocorticoid receptor antagonist CORT113176 attenuates motor and neuropathological symptoms of Huntington's disease in R6/2 mice. Exp Neurol 2024; 374:114675. [PMID: 38216109 DOI: 10.1016/j.expneurol.2024.114675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 11/17/2023] [Accepted: 01/02/2024] [Indexed: 01/14/2024]
Abstract
Huntington's Disease (HD) is a progressive neurodegenerative disease caused by a mutation in the huntingtin gene. The mutation leads to a toxic gain of function of the mutant huntingtin (mHtt) protein resulting in cellular malfunction, aberrant huntingtin aggregation and eventually neuronal cell death. Patients with HD show impaired motor functions and cognitive decline. Elevated levels of glucocorticoids have been found in HD patients and in HD mouse models, and there is a positive correlation between increased glucocorticoid levels and the progression of HD. Therefore, antagonism of the glucocorticoid receptor (GR) may be an interesting strategy for the treatment of HD. In this study, we evaluated the efficacy of the selective GR antagonist CORT113176 in the commonly used R6/2 mouse model. In male mice, CORT113176 treatment significantly delayed the loss of grip strength, the development of hindlimb clasping, gait abnormalities, and the occurrence of epileptic seizures. CORT113176 treatment delayed loss of DARPP-32 immunoreactivity in the dorsolateral striatum. It also restored HD-related parameters including astrocyte markers in both the dorsolateral striatum and the hippocampus, and microglia markers in the hippocampus. This suggests that CORT113176 has both cell-type and brain region-specific effects. CORT113176 delayed the formation of mHtt aggregates in the striatum and the hippocampus. In female mice, we did not observe major effects of CORT113176 treatment on HD-related symptoms, with the exception of the anti-epileptic effects. We conclude that CORT113176 effectively delays several key symptoms related to the HD phenotype in male R6/2 mice and believe that GR antagonism may be a possible treatment option.
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Affiliation(s)
- Max Gentenaar
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, the Netherlands.
| | - Fleur L Meulmeester
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, the Netherlands
| | - Ximaine R van der Burg
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, the Netherlands
| | - Anna T Hoekstra
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, the Netherlands; Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, the Netherlands
| | - Hazel Hunt
- Corcept Therapeutics, Menlo Park, CA, USA
| | - Jan Kroon
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, the Netherlands; Corcept Therapeutics, Menlo Park, CA, USA
| | | | - Onno C Meijer
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, the Netherlands
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Geva S, Hoskote A, Saini M, Clark CA, Banks T, Chong WKK, Baldeweg T, de Haan M, Vargha-Khadem F. Cognitive outcome and its neural correlates after cardiorespiratory arrest in childhood. Dev Sci 2024:e13501. [PMID: 38558493 DOI: 10.1111/desc.13501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 02/19/2024] [Accepted: 02/21/2024] [Indexed: 04/04/2024]
Abstract
Hypoxia-ischaemia (HI) can result in structural brain abnormalities, which in turn can lead to behavioural deficits in various cognitive and motor domains, in both adult and paediatric populations. Cardiorespiratory arrest (CA) is a major cause of hypoxia-ischaemia in adults, but it is relatively rare in infants and children. While the effects of adult CA on brain and cognition have been widely studied, to date, there are no studies examining the neurodevelopmental outcome of children who suffered CA early in life. Here, we studied the long-term outcome of 28 children who suffered early CA (i.e., before age 16). They were compared to a group of control participants (n = 28) matched for age, sex and socio-economic status. The patient group had impairments in the domains of memory, language and academic attainment (measured using standardised tests). Individual scores within the impaired range were most commonly found within the memory domain (79%), followed by academic attainment (50%), and language (36%). The patient group also had reduced whole brain grey matter volume, and reduced volume and fractional anisotropy of the white matter. In addition, lower performance on memory tests was correlated with bilaterally reduced volume of the hippocampi, thalami, and striatum, while lower attainment scores were correlated with bilateral reduction of fractional anisotropy in the superior cerebellar peduncle, the main output tract of the cerebellum. We conclude that patients who suffered early CA are at risk of developing specific cognitive deficits associated with structural brain abnormalities. RESEARCH HIGHLIGHTS: Our data shed light on the long-term outcome and associated neural mechanisms after paediatric hypoxia-ischaemia as a result of cardiorespiratory arrest. Patients had impaired scores on memory, language and academic attainment. Memory impairments were associated with smaller hippocampi, thalami, and striatum. Lower academic attainment correlated with reduced fractional anisotropy of the superior cerebellar peduncle.
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Affiliation(s)
- Sharon Geva
- Department of Developmental Neurosciences, University College London Great Ormond Street Institute of Child Health, London, United Kingdom of Great Britain and Northern Ireland
| | - Aparna Hoskote
- Heart and Lung Division, Institute of Cardiovascular Science, Great Ormond Street Hospital, London, United Kingdom of Great Britain and Northern Ireland
| | - Maneet Saini
- Department of Developmental Neurosciences, University College London Great Ormond Street Institute of Child Health, London, United Kingdom of Great Britain and Northern Ireland
| | - Christopher A Clark
- Department of Developmental Neurosciences, University College London Great Ormond Street Institute of Child Health, London, United Kingdom of Great Britain and Northern Ireland
| | - Tina Banks
- Department of Radiology, Great Ormond Street Hospital, London, United Kingdom of Great Britain and Northern Ireland
| | - W K Kling Chong
- Department of Developmental Neurosciences, University College London Great Ormond Street Institute of Child Health, London, United Kingdom of Great Britain and Northern Ireland
| | - Torsten Baldeweg
- Department of Developmental Neurosciences, University College London Great Ormond Street Institute of Child Health, London, United Kingdom of Great Britain and Northern Ireland
| | - Michelle de Haan
- Department of Developmental Neurosciences, University College London Great Ormond Street Institute of Child Health, London, United Kingdom of Great Britain and Northern Ireland
| | - Faraneh Vargha-Khadem
- Department of Developmental Neurosciences, University College London Great Ormond Street Institute of Child Health, London, United Kingdom of Great Britain and Northern Ireland
- Neuropsychology Service, Great Ormond Street Hospital, London, United Kingdom of Great Britain and Northern Ireland
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48
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Hu Y, Du W, Qi J, Luo H, Zhang Z, Luo M, Wang Y. Comparative brain-wide mapping of ketamine- and isoflurane-activated nuclei and functional networks in the mouse brain. eLife 2024; 12:RP88420. [PMID: 38512722 PMCID: PMC10957177 DOI: 10.7554/elife.88420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2024] Open
Abstract
Ketamine (KET) and isoflurane (ISO) are two widely used general anesthetics, yet their distinct and shared neurophysiological mechanisms remain elusive. In this study, we conducted a comparative analysis of the effects of KET and ISO on c-Fos expression across the mouse brain, utilizing hierarchical clustering and c-Fos-based functional network analysis to evaluate the responses of individual brain regions to each anesthetic. Our findings reveal that KET activates a wide range of brain regions, notably in the cortical and subcortical nuclei involved in sensory, motor, emotional, and reward processing, with the temporal association areas (TEa) as a strong hub, suggesting a top-down mechanism affecting consciousness by primarily targeting higher order cortical networks. In contrast, ISO predominantly influences brain regions in the hypothalamus, impacting neuroendocrine control, autonomic function, and homeostasis, with the locus coeruleus (LC) as a connector hub, indicating a bottom-up mechanism in anesthetic-induced unconsciousness. KET and ISO both activate brain areas involved in sensory processing, memory and cognition, reward and motivation, as well as autonomic and homeostatic control, highlighting their shared effects on various neural pathways. In conclusion, our results highlight the distinct but overlapping effects of KET and ISO, enriching our understanding of the mechanisms underlying general anesthesia.
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Affiliation(s)
- Yue Hu
- Department of Anesthesiology, Huashan Hospital, Fudan UniversityShanghaiChina
| | - Wenjie Du
- Department of Anesthesiology, Huashan Hospital, Fudan UniversityShanghaiChina
| | - Jiangtao Qi
- Department of Anesthesiology, Huashan Hospital, Fudan UniversityShanghaiChina
| | - Huoqing Luo
- School of Life Science and Technology, ShanghaiTech UniversityShanghaiChina
| | - Zhao Zhang
- Department of Anesthesiology, Huashan Hospital, Fudan UniversityShanghaiChina
| | - Mengqiang Luo
- Department of Anesthesiology, Huashan Hospital, Fudan UniversityShanghaiChina
| | - Yingwei Wang
- Department of Anesthesiology, Huashan Hospital, Fudan UniversityShanghaiChina
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49
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Vu MAT, Brown EH, Wen MJ, Noggle CA, Zhang Z, Monk KJ, Bouabid S, Mroz L, Graham BM, Zhuo Y, Li Y, Otchy TM, Tian L, Davison IG, Boas DA, Howe MW. Targeted micro-fiber arrays for measuring and manipulating localized multi-scale neural dynamics over large, deep brain volumes during behavior. Neuron 2024; 112:909-923.e9. [PMID: 38242115 PMCID: PMC10957316 DOI: 10.1016/j.neuron.2023.12.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 11/11/2023] [Accepted: 12/15/2023] [Indexed: 01/21/2024]
Abstract
Neural population dynamics relevant to behavior vary over multiple spatial and temporal scales across three-dimensional volumes. Current optical approaches lack the spatial coverage and resolution necessary to measure and manipulate naturally occurring patterns of large-scale, distributed dynamics within and across deep brain regions such as the striatum. We designed a new micro-fiber array approach capable of chronically measuring and optogenetically manipulating local dynamics across over 100 targeted locations simultaneously in head-fixed and freely moving mice, enabling the investigation of cell-type- and neurotransmitter-specific signals over arbitrary 3D volumes at a spatial resolution and coverage previously inaccessible. We applied this method to resolve rapid dopamine release dynamics across the striatum, revealing distinct, modality-specific spatiotemporal patterns in response to salient sensory stimuli extending over millimeters of tissue. Targeted optogenetics enabled flexible control of neural signaling on multiple spatial scales, better matching endogenous signaling patterns, and the spatial localization of behavioral function across large circuits.
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Affiliation(s)
- Mai-Anh T Vu
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | - Eleanor H Brown
- Graduate Program for Neuroscience, Boston University, Boston, MA, USA
| | - Michelle J Wen
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA; Howard Hughes Medical Institute, Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Christian A Noggle
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | - Zicheng Zhang
- Department of Biology, Boston University, Boston, MA, USA
| | - Kevin J Monk
- Department of Biology, Boston University, Boston, MA, USA
| | - Safa Bouabid
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | - Lydia Mroz
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA; Northeastern University, Boston, MA, USA
| | - Benjamin M Graham
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA
| | - Yizhou Zhuo
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing, China; PKU-IDG/McGovern Institute for Brain Research, Beijing, China; Peking-Tsinghua Center for Life Sciences, Beijing, China
| | - Yulong Li
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA; State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing, China; PKU-IDG/McGovern Institute for Brain Research, Beijing, China; Peking-Tsinghua Center for Life Sciences, Beijing, China
| | | | - Lin Tian
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA; Max Planck Florida Institute of Neuroscience, Jupiter, FL, USA
| | - Ian G Davison
- Department of Biology, Boston University, Boston, MA, USA
| | - David A Boas
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Mark W Howe
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA.
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50
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Thng G, Shen X, Stolicyn A, Adams MJ, Yeung HW, Batziou V, Conole ELS, Buchanan CR, Lawrie SM, Bastin ME, McIntosh AM, Deary IJ, Tucker-Drob EM, Cox SR, Smith KM, Romaniuk L, Whalley HC. A comprehensive hierarchical comparison of structural connectomes in Major Depressive Disorder cases v. controls in two large population samples. Psychol Med 2024:1-12. [PMID: 38497116 DOI: 10.1017/s0033291724000643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
BACKGROUND The brain can be represented as a network, with nodes as brain regions and edges as region-to-region connections. Nodes with the most connections (hubs) are central to efficient brain function. Current findings on structural differences in Major Depressive Disorder (MDD) identified using network approaches remain inconsistent, potentially due to small sample sizes. It is still uncertain at what level of the connectome hierarchy differences may exist, and whether they are concentrated in hubs, disrupting fundamental brain connectivity. METHODS We utilized two large cohorts, UK Biobank (UKB, N = 5104) and Generation Scotland (GS, N = 725), to investigate MDD case-control differences in brain network properties. Network analysis was done across four hierarchical levels: (1) global, (2) tier (nodes grouped into four tiers based on degree) and rich club (between-hub connections), (3) nodal, and (4) connection. RESULTS In UKB, reductions in network efficiency were observed in MDD cases globally (d = -0.076, pFDR = 0.033), across all tiers (d = -0.069 to -0.079, pFDR = 0.020), and in hubs (d = -0.080 to -0.113, pFDR = 0.013-0.035). No differences in rich club organization and region-to-region connections were identified. The effect sizes and direction for these associations were generally consistent in GS, albeit not significant in our lower-N replication sample. CONCLUSION Our results suggest that the brain's fundamental rich club structure is similar in MDD cases and controls, but subtle topological differences exist across the brain. Consistent with recent large-scale neuroimaging findings, our findings offer a connectomic perspective on a similar scale and support the idea that minimal differences exist between MDD cases and controls.
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Affiliation(s)
- Gladi Thng
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Xueyi Shen
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Aleks Stolicyn
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Mark J Adams
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Hon Wah Yeung
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Venia Batziou
- Edinburgh Medical School: Biomedical Sciences, University of Edinburgh, Edinburgh, UK
| | - Eleanor L S Conole
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, UK
| | - Colin R Buchanan
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence Collaboration (SINAPSE), Edinburgh, UK
| | - Stephen M Lawrie
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Mark E Bastin
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence Collaboration (SINAPSE), Edinburgh, UK
| | - Andrew M McIntosh
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- Generation Scotland, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Ian J Deary
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Elliot M Tucker-Drob
- Department of Psychology, University of Texas, Austin, TX, USA
- Population Research Center and Center on Aging and Population Sciences, University of Texas, Austin, TX, USA
| | - Simon R Cox
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence Collaboration (SINAPSE), Edinburgh, UK
| | - Keith M Smith
- Department of Computer and Information Sciences, University of Strathclyde, Glasgow, UK
| | - Liana Romaniuk
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Heather C Whalley
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- Generation Scotland, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
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