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Hall S. Is the Papez circuit the location of the elusive episodic memory engram? IBRO Neurosci Rep 2024; 16:249-259. [PMID: 38370006 PMCID: PMC10869290 DOI: 10.1016/j.ibneur.2024.01.016] [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: 09/25/2023] [Accepted: 01/31/2024] [Indexed: 02/20/2024] Open
Abstract
All of the brain structures and white matter that make up Papez' circuit, as well as the circuit as a whole, are implicated in the literature in episodic memory formation and recall. This paper shows that Papez' circuit has the detailed structure and connectivity that is evidently required to support the episodic memory engram, and that identifying Papez' circuit as the location of the engram answers a number of long-standing questions regarding the role of medial temporal lobe structures in episodic memory. The paper then shows that the process by which the episodic memory engram may be formed is a network-wide Hebbian potentiation termed "racetrack potentiation", whose frequency corresponds to that observed in vivo in humans for memory functions. Further, by considering the microcircuits observed in the medial temporal lobe structures forming Papez' circuit, the paper establishes the neural mechanisms behind the required functions of sensory information storage and recall, pattern completion, pattern separation, and memory consolidation. The paper shows that Papez' circuit has the necessary connectivity to gather the various elements of an episodic memory occurring within Pöppel's experienced time or "quantum of experience". Finally, the paper shows how the memory engram located in Papez' circuit might be central to the formation of a duplicate engram in the cortex enabling consolidation and long-term storage of episodic memories.
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Affiliation(s)
- Steven Hall
- Department of Psychology, University of Bolton, Deane Road, Bolton BL3 5AB, UK
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Jordán Z, Szabó JP, Sákovics A, Kelemen A, Halász L, Erőss L, Fabó D. Epileptiform discharges in the anterior thalamus of epilepsy patients. iScience 2024; 27:109582. [PMID: 38726366 PMCID: PMC11079473 DOI: 10.1016/j.isci.2024.109582] [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: 04/19/2023] [Revised: 07/25/2023] [Accepted: 03/25/2024] [Indexed: 05/12/2024] Open
Abstract
Anterior thalamus (ANT) deep-brain stimulation (DBS) is an approved therapy for drug resistant epilepsy. We aimed to identify interictal epileptiform discharges (IED) in the ANT and to investigate their relationship with surface IEDs. Fifteen patients were monitored for two consecutive nights with externalized thalamic leads to analyze the intrathalamic epileptiform activities (TIED). Forty-six % of all contacts were located within the ANT. We found that all the responders had TIEDs within the ANT, while this held true only for 44% of the non-responders. The overall response rate (RR) at 1-year follow-up was 40%, while it was 44% in bilateral ANT hit patients and 45% in epileptic focus side hit. However, in case of TIEDs present in the focus side the RR reached as high as 71%. TIED activity may prove the pathophysiological connection to the seizure focus, and stimulation of this area might have a better suppressing effect on seizures.
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Affiliation(s)
- Zsófia Jordán
- Epilepsy Unit, Department of Neurosurgery and Neurointervention, Faculty of Medicine, Semmelweis University, 1145 Budapest, Hungary
- Member of the ERN EpiCARE, Budapest, Hungary
| | - Johanna-Petra Szabó
- Epilepsy Unit, Department of Neurosurgery and Neurointervention, Faculty of Medicine, Semmelweis University, 1145 Budapest, Hungary
- Member of the ERN EpiCARE, Budapest, Hungary
- János Szentágothai Neuroscience Program, School of PhD Studies, Semmelweis University, 1085 Budapest, Hungary
- Lendület Laboratory of Systems Neuroscience, Institute of Experimental Medicine, 1083 Budapest, Hungary
| | - Anna Sákovics
- Epilepsy Unit, Department of Neurosurgery and Neurointervention, Faculty of Medicine, Semmelweis University, 1145 Budapest, Hungary
- Member of the ERN EpiCARE, Budapest, Hungary
- János Szentágothai Neuroscience Program, School of PhD Studies, Semmelweis University, 1085 Budapest, Hungary
| | - Anna Kelemen
- Epilepsy Unit, Department of Neurosurgery and Neurointervention, Faculty of Medicine, Semmelweis University, 1145 Budapest, Hungary
- Member of the ERN EpiCARE, Budapest, Hungary
- András Pető Faculty, Semmelweis University, 1125 Budapest, Hungary
| | - László Halász
- Functional Neurosurgery Unit, Department of Neurosurgery and Neurointervention, Faculty of Medicine, Semmelweis University, 1145 Budapest, Hungary
| | - Loránd Erőss
- Functional Neurosurgery Unit, Department of Neurosurgery and Neurointervention, Faculty of Medicine, Semmelweis University, 1145 Budapest, Hungary
| | - Dániel Fabó
- Epilepsy Unit, Department of Neurosurgery and Neurointervention, Faculty of Medicine, Semmelweis University, 1145 Budapest, Hungary
- Member of the ERN EpiCARE, Budapest, Hungary
- Department of Neurology, University of Szeged, 6720 Szeged, Hungary
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Wang J, Li G, Ji G, Hu Y, Zhang W, Ji W, Yu J, Han Y, Cui G, Wang H, Manza P, Volkow ND, Wang GJ, Zhang Y. Habenula Volume and Functional Connectivity Changes Following Laparoscopic Sleeve Gastrectomy for Obesity Treatment. Biol Psychiatry 2024; 95:916-925. [PMID: 37480977 DOI: 10.1016/j.biopsych.2023.07.009] [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: 01/10/2023] [Revised: 06/18/2023] [Accepted: 07/13/2023] [Indexed: 07/24/2023]
Abstract
BACKGROUND Neuroimaging studies have revealed alterations in habenular (Hb) structure and functional connectivity (FC) in psychiatric conditions. The Hb plays a particularly critical role in regulating negative emotions, which trigger excessive food intake and obesity. However, obesity and weight loss intervention (i.e., laparoscopic sleeve gastrectomy [LSG])-associated changes in Hb structure and FC have not been studied. METHODS We used voxel-based morphometry analysis to measure changes in gray matter volume (GMV) in the Hb in 56 patients with obesity at pre-LSG and 12 months post-LSG and in 78 normal-weight (NW) control participants. Then, we conducted Hb seed-based resting-state FC (RSFC) to examine obesity-related and LSG-induced alterations in RSFC. Finally, we used mediation analysis to characterize the interrelationships among Hb GMV, RSFC, and behaviors. RESULTS Compared with NW participants, Hb GMV was smaller in patients at pre-LSG and increased at 12 months post-LSG to levels equivalent to that of NW; in addition, increases in Hb GMV were correlated with reduced body mass index (BMI). Compared with NW participants, pre-LSG patients showed greater RSFCs of the Hb-insula, Hb-precentral gyrus, and Hb-rolandic operculum and weaker RSFCs of the Hb-thalamus, Hb-hypothalamus, and Hb-caudate; LSG normalized these RSFCs. Decreased RSFC of the Hb-insula was correlated with reduced BMI, Yale Food Addiction Scale rating, and emotional eating; reduced hunger levels were correlated with increased RSFCs of the Hb-thalamus and Hb-hypothalamus; and reduced BMI and Yale Food Addiction Scale ratings were correlated with increased RSFCs of the Hb-thalamus and Hb-hypothalamus, respectively. The bidirectional relationships between Hb GMV and RSFC of the Hb-insula contributed to reduced BMI. CONCLUSIONS These findings indicate that LSG increased Hb GMV and that its related improvement in RSFC of the Hb-insula may mediate long-term benefits of LSG for eating behaviors and weight loss.
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Affiliation(s)
- Jia Wang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China; International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China; International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Gang Ji
- Department of Digestive Surgery, Xijing Hospital, Air Force Medical University, Xi'an, Shaanxi, China.
| | - Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China; International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Wenchao Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China; International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Weibin Ji
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China; International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Juan Yu
- Department of Digestive Surgery, Xijing Hospital, Air Force Medical University, Xi'an, Shaanxi, China
| | - Yu Han
- Department of Radiology, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi, China
| | - Guangbin Cui
- Department of Radiology, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi, China
| | - Huaning Wang
- Department of Psychiatry, Xijing Hospital, Air Force Medical University, Xi'an, Shaanxi, China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland
| | - Nora D Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China; International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.
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Matte Bon G, Kraft D, Comasco E, Derntl B, Kaufmann T. Modeling brain sex in the limbic system as phenotype for female-prevalent mental disorders. Biol Sex Differ 2024; 15:42. [PMID: 38750598 PMCID: PMC11097569 DOI: 10.1186/s13293-024-00615-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 04/29/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Sex differences exist in the prevalence and clinical manifestation of several mental disorders, suggesting that sex-specific brain phenotypes may play key roles. Previous research used machine learning models to classify sex from imaging data of the whole brain and studied the association of class probabilities with mental health, potentially overlooking regional specific characteristics. METHODS We here investigated if a regionally constrained model of brain volumetric imaging data may provide estimates that are more sensitive to mental health than whole brain-based estimates. Given its known role in emotional processing and mood disorders, we focused on the limbic system. Using two different cohorts of healthy subjects, the Human Connectome Project and the Queensland Twin IMaging, we investigated sex differences and heritability of brain volumes of limbic structures compared to non-limbic structures, and subsequently applied regionally constrained machine learning models trained solely on limbic or non-limbic features. To investigate the biological underpinnings of such models, we assessed the heritability of the obtained sex class probability estimates, and we investigated the association with major depression diagnosis in an independent clinical sample. All analyses were performed both with and without controlling for estimated total intracranial volume (eTIV). RESULTS Limbic structures show greater sex differences and are more heritable compared to non-limbic structures in both analyses, with and without eTIV control. Consequently, machine learning models performed well at classifying sex based solely on limbic structures and achieved performance as high as those on non-limbic or whole brain data, despite the much smaller number of features in the limbic system. The resulting class probabilities were heritable, suggesting potentially meaningful underlying biological information. Applied to an independent population with major depressive disorder, we found that depression is associated with male-female class probabilities, with largest effects obtained using the limbic model. This association was significant for models not controlling for eTIV whereas in those controlling for eTIV the associations did not pass significance correction. CONCLUSIONS Overall, our results highlight the potential utility of regionally constrained models of brain sex to better understand the link between sex differences in the brain and mental disorders.
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Affiliation(s)
- Gloria Matte Bon
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Calwerstraße 14, 72076, Tübingen, Germany.
- Department of Women's and Children's Health, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
| | - Dominik Kraft
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Calwerstraße 14, 72076, Tübingen, Germany
| | - Erika Comasco
- Department of Women's and Children's Health, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Birgit Derntl
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Calwerstraße 14, 72076, Tübingen, Germany
- German Center for Mental Health (DZPG), Partner Site Tübingen, Tübingen, Germany
| | - Tobias Kaufmann
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Calwerstraße 14, 72076, Tübingen, Germany.
- German Center for Mental Health (DZPG), Partner Site Tübingen, Tübingen, Germany.
- Centre for Precision Psychiatry, Division of Mental Health and Addiction, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
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Rapaka D, Tebogo MO, Mathew EM, Adiukwu PC, Bitra VR. Targeting papez circuit for cognitive dysfunction- insights into deep brain stimulation for Alzheimer's disease. Heliyon 2024; 10:e30574. [PMID: 38726200 PMCID: PMC11079300 DOI: 10.1016/j.heliyon.2024.e30574] [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: 06/30/2023] [Revised: 04/28/2024] [Accepted: 04/29/2024] [Indexed: 05/12/2024] Open
Abstract
Hippocampus is the most widely studied brain area coupled with impairment of memory in a variety of neurological diseases and Alzheimer's disease (AD). The limbic structures within the Papez circuit have been linked to various aspects of cognition. Unfortunately, the brain regions that include this memory circuit are often ignored in terms of understanding cognitive decline in these diseases. To properly comprehend where cognition problems originate, it is crucial to clarify any aberrant contributions from all components of a specific circuit -on both a local and a global level. The pharmacological treatments currently available are not long lasting. Deep Brain Stimulation (DBS) emerged as a new powerful therapeutic approach for alleviation of the cognitive dysfunctions. Metabolic, functional, electrophysiological, and imaging studies helped to find out the crucial nodes that can be accessible for DBS. Targeting these nodes within the memory circuit produced significant improvement in learning and memory by disrupting abnormal circuit activity and restoring the physiological network. Here, we provide an overview of the neuroanatomy of the circuit of Papez along with the mechanisms and various deep brain stimulation targets of the circuit structures which could be significant for improving cognitive dysfunctions in AD.
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Affiliation(s)
| | - Motshegwana O. Tebogo
- School of Pharmacy, Faculty of Health Sciences, University of Botswana, Gaborone, Botswana, P/Bag-0022
| | - Elizabeth M. Mathew
- School of Pharmacy, Faculty of Health Sciences, University of Botswana, Gaborone, Botswana, P/Bag-0022
| | | | - Veera Raghavulu Bitra
- School of Pharmacy, Faculty of Health Sciences, University of Botswana, Gaborone, Botswana, P/Bag-0022
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Lyuboslavsky P, Ordemann GJ, Kizimenko A, Brumback AC. Two contrasting mediodorsal thalamic circuits target the mouse medial prefrontal cortex. J Neurophysiol 2024; 131:876-890. [PMID: 38568510 DOI: 10.1152/jn.00456.2023] [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: 12/11/2023] [Revised: 02/28/2024] [Accepted: 03/17/2024] [Indexed: 05/09/2024] Open
Abstract
At the heart of the prefrontal network is the mediodorsal (MD) thalamus. Despite the importance of MD in a broad range of behaviors and neuropsychiatric disorders, little is known about the physiology of neurons in MD. We injected the retrograde tracer cholera toxin subunit B (CTB) into the medial prefrontal cortex (mPFC) of adult wild-type mice. We prepared acute brain slices and used current clamp electrophysiology to measure and compare the intrinsic properties of the neurons in MD that project to mPFC (MD→mPFC neurons). We show that MD→mPFC neurons are located predominantly in the medial (MD-M) and lateral (MD-L) subnuclei of MD. MD-L→mPFC neurons had shorter membrane time constants and lower membrane resistance than MD-M→mPFC neurons. Relatively increased hyperpolarization-activated cyclic nucleotide-gated (HCN) channel activity in MD-L neurons accounted for the difference in membrane resistance. MD-L neurons had a higher rheobase that resulted in less readily generated action potentials compared with MD-M→mPFC neurons. In both cell types, HCN channels supported generation of burst spiking. Increased HCN channel activity in MD-L neurons results in larger after-hyperpolarization potentials compared with MD-M neurons. These data demonstrate that the two populations of MD→mPFC neurons have divergent physiologies and support a differential role in thalamocortical information processing and potentially behavior.NEW & NOTEWORTHY To realize the potential of circuit-based therapies for psychiatric disorders that localize to the prefrontal network, we need to understand the properties of the populations of neurons that make up this network. The mediodorsal (MD) thalamus has garnered attention for its roles in executive functioning and social/emotional behaviors mediated, at least in part, by its projections to the medial prefrontal cortex (mPFC). Here, we identify and compare the physiology of the projection neurons in the two MD subnuclei that provide ascending inputs to mPFC in mice. Differences in intrinsic excitability between the two populations of neurons suggest that neuromodulation strategies targeting the prefrontal thalamocortical network will have differential effects on these two streams of thalamic input to mPFC.
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Affiliation(s)
- Polina Lyuboslavsky
- Department of Neurology, Dell Medical School, The University of Texas at Austin, Austin, Texas, United States
- Center for Learning and Memory, The University of Texas at Austin, Austin, Texas, United States
| | - Gregory J Ordemann
- Department of Neurology, Dell Medical School, The University of Texas at Austin, Austin, Texas, United States
- Center for Learning and Memory, The University of Texas at Austin, Austin, Texas, United States
| | - Alena Kizimenko
- Department of Neurology, Dell Medical School, The University of Texas at Austin, Austin, Texas, United States
- Center for Learning and Memory, The University of Texas at Austin, Austin, Texas, United States
| | - Audrey C Brumback
- Department of Neurology, Dell Medical School, The University of Texas at Austin, Austin, Texas, United States
- Department of Pediatrics, Dell Medical School, The University of Texas at Austin, Austin, Texas, United States
- Center for Learning and Memory, The University of Texas at Austin, Austin, Texas, United States
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7
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Bulut T, Hagoort P. Contributions of the left and right thalami to language: A meta-analytic approach. Brain Struct Funct 2024:10.1007/s00429-024-02795-3. [PMID: 38625556 DOI: 10.1007/s00429-024-02795-3] [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: 09/23/2023] [Accepted: 03/25/2024] [Indexed: 04/17/2024]
Abstract
BACKGROUND Despite a pervasive cortico-centric view in cognitive neuroscience, subcortical structures including the thalamus have been shown to be increasingly involved in higher cognitive functions. Previous structural and functional imaging studies demonstrated cortico-thalamo-cortical loops which may support various cognitive functions including language. However, large-scale functional connectivity of the thalamus during language tasks has not been examined before. METHODS The present study employed meta-analytic connectivity modeling to identify language-related coactivation patterns of the left and right thalami. The left and right thalami were used as regions of interest to search the BrainMap functional database for neuroimaging experiments with healthy participants reporting language-related activations in each region of interest. Activation likelihood estimation analyses were then carried out on the foci extracted from the identified studies to estimate functional convergence for each thalamus. A functional decoding analysis based on the same database was conducted to characterize thalamic contributions to different language functions. RESULTS The results revealed bilateral frontotemporal and bilateral subcortical (basal ganglia) coactivation patterns for both the left and right thalami, and also right cerebellar coactivations for the left thalamus, during language processing. In light of previous empirical studies and theoretical frameworks, the present connectivity and functional decoding findings suggest that cortico-subcortical-cerebellar-cortical loops modulate and fine-tune information transfer within the bilateral frontotemporal cortices during language processing, especially during production and semantic operations, but also other language (e.g., syntax, phonology) and cognitive operations (e.g., attention, cognitive control). CONCLUSION The current findings show that the language-relevant network extends beyond the classical left perisylvian cortices and spans bilateral cortical, bilateral subcortical (bilateral thalamus, bilateral basal ganglia) and right cerebellar regions.
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Affiliation(s)
- Talat Bulut
- Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
- Department of Speech and Language Therapy, School of Health Sciences, Istanbul Medipol University, Istanbul, Turkey.
| | - Peter Hagoort
- Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
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Gouveia FV, Warsi NM, Suresh H, Matin R, Ibrahim GM. Neurostimulation treatments for epilepsy: Deep brain stimulation, responsive neurostimulation and vagus nerve stimulation. Neurotherapeutics 2024; 21:e00308. [PMID: 38177025 PMCID: PMC11103217 DOI: 10.1016/j.neurot.2023.e00308] [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: 09/05/2023] [Revised: 11/29/2023] [Accepted: 12/06/2023] [Indexed: 01/06/2024] Open
Abstract
Epilepsy is a common and debilitating neurological disorder, and approximately one-third of affected individuals have ongoing seizures despite appropriate trials of two anti-seizure medications. This population with drug-resistant epilepsy (DRE) may benefit from neurostimulation approaches, such as vagus nerve stimulation (VNS), deep brain stimulation (DBS) and responsive neurostimulation (RNS). In some patient populations, these techniques are FDA-approved for treating DRE. VNS is used as adjuvant therapy for children and adults. Acting via the vagus afferent network, VNS modulates thalamocortical circuits, reducing seizures in approximately 50 % of patients. RNS uses an adaptive (closed-loop) system that records intracranial EEG patterns to activate the stimulation at the appropriate time, being particularly well-suited to treat seizures arising within eloquent cortex. For DBS, the most promising therapeutic targets are the anterior and centromedian nuclei of the thalamus, with anterior nucleus DBS being used for treating focal and secondarily generalized forms of DRE and centromedian nucleus DBS being applied for treating generalized epilepsies such as Lennox-Gastaut syndrome. Here, we discuss the indications, advantages and limitations of VNS, DBS and RNS in treating DRE and summarize the spatial distribution of neuroimaging observations related to epilepsy and stimulation using NeuroQuery and NeuroSynth.
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Affiliation(s)
| | - Nebras M Warsi
- Neuroscience and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada; Division of Neurosurgery, The Hospital for Sick Children, Toronto, ON, Canada
| | - Hrishikesh Suresh
- Neuroscience and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada; Division of Neurosurgery, The Hospital for Sick Children, Toronto, ON, Canada
| | - Rafi Matin
- Neuroscience and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - George M Ibrahim
- Neuroscience and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada; Division of Neurosurgery, The Hospital for Sick Children, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada.
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Biesbroek JM, Verhagen MG, van der Stigchel S, Biessels GJ. When the central integrator disintegrates: A review of the role of the thalamus in cognition and dementia. Alzheimers Dement 2024; 20:2209-2222. [PMID: 38041861 PMCID: PMC10984498 DOI: 10.1002/alz.13563] [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: 06/22/2023] [Revised: 10/18/2023] [Accepted: 10/29/2023] [Indexed: 12/04/2023]
Abstract
The thalamus is a complex neural structure with numerous anatomical subdivisions and intricate connectivity patterns. In recent decades, the traditional view of the thalamus as a relay station and "gateway to the cortex" has expanded in recognition of its role as a central integrator of inputs from sensory systems, cortex, basal ganglia, limbic systems, brain stem nuclei, and cerebellum. As such, the thalamus is critical for numerous aspects of human cognition, mood, and behavior, as well as serving sensory processing and motor functions. Thalamus pathology is an important contributor to cognitive and functional decline, and it might be argued that the thalamus has been somewhat overlooked as an important player in dementia. In this review, we provide a comprehensive overview of thalamus anatomy and function, with an emphasis on human cognition and behavior, and discuss emerging insights on the role of thalamus pathology in dementia.
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Affiliation(s)
- J. Matthijs Biesbroek
- Department of NeurologyUMC Utrecht Brain CenterUniversity Medical Center UtrechtUtrechtThe Netherlands
- Department of NeurologyDiakonessenhuis HospitalUtrechtThe Netherlands
| | - Marieke G. Verhagen
- VIB Center for Brain and DiseaseLeuvenBelgium
- Department of NeurosciencesKatholieke Universiteit (KU) LeuvenLeuvenBelgium
| | - Stefan van der Stigchel
- Department of Experimental PsychologyHelmholtz InstituteUtrecht UniversityUtrechtThe Netherlands
| | - Geert Jan Biessels
- Department of NeurologyUMC Utrecht Brain CenterUniversity Medical Center UtrechtUtrechtThe Netherlands
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10
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Bergamo D, Handjaras G, Petruso F, Talami F, Ricciardi E, Benuzzi F, Vaudano AE, Meletti S, Bernardi G, Betta M. Maturation-dependent changes in cortical and thalamic activity during sleep slow waves: Insights from a combined EEG-fMRI study. Sleep Med 2024; 113:357-369. [PMID: 38113618 DOI: 10.1016/j.sleep.2023.12.001] [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: 08/19/2023] [Revised: 11/24/2023] [Accepted: 12/02/2023] [Indexed: 12/21/2023]
Abstract
INTRODUCTION Studies using scalp EEG have shown that slow waves (0.5-4 Hz), the most prominent hallmark of NREM sleep, undergo relevant changes from childhood to adulthood, mirroring brain structural modifications and the acquisition of cognitive skills. Here we used simultaneous EEG-fMRI to investigate the cortical and subcortical correlates of slow waves in school-age children and determine their relative developmental changes. METHODS We analyzed data from 14 school-age children with self-limited focal epilepsy of childhood who fell asleep during EEG-fMRI recordings. Brain regions associated with slow-wave occurrence were identified using a voxel-wise regression that also modelled interictal epileptic discharges and sleep spindles. At the group level, a mixed-effects linear model was used. The results were qualitatively compared with those obtained from 2 adolescents with epilepsy and 17 healthy adults. RESULTS Slow waves were associated with hemodynamic-signal decreases in bilateral somatomotor areas. Such changes extended more posteriorly relative to those in adults. Moreover, the involvement of areas belonging to the default mode network changes as a function of age. No significant hemodynamic responses were observed in subcortical structures. However, we identified a significant correlation between age and thalamic hemodynamic changes. CONCLUSIONS Present findings indicate that the somatomotor cortex may have a key role in slow-wave expression throughout the lifespan. At the same time, they are consistent with a posterior-to-anterior shift in slow-wave distribution mirroring brain maturational changes. Finally, our results suggest that slow-wave changes may not reflect only neocortical modifications but also the maturation of subcortical structures, including the thalamus.
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Affiliation(s)
- Damiana Bergamo
- MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | | | - Flavia Petruso
- MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy; Sant'Anna School of Advanced Studies, Pisa, Italy
| | - Francesca Talami
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; Neurology Dept., Azienda Ospedaliera Universitaria di Modena, Italy
| | | | - Francesca Benuzzi
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Anna Elisabetta Vaudano
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; Neurology Dept., Azienda Ospedaliera Universitaria di Modena, Italy
| | - Stefano Meletti
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; Neurology Dept., Azienda Ospedaliera Universitaria di Modena, Italy
| | - Giulio Bernardi
- MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Monica Betta
- MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy.
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11
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Gerussi T, Graïc JM, Peruffo A, Behroozi M, Schlaffke L, Huggenberger S, Güntürkün O, Cozzi B. The prefrontal cortex of the bottlenose dolphin (Tursiops truncatus Montagu, 1821): a tractography study and comparison with the human. Brain Struct Funct 2023; 228:1963-1976. [PMID: 37660322 PMCID: PMC10517040 DOI: 10.1007/s00429-023-02699-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 08/21/2023] [Indexed: 09/05/2023]
Abstract
Cetaceans are well known for their remarkable cognitive abilities including self-recognition, sound imitation and decision making. In other mammals, the prefrontal cortex (PFC) takes a key role in such cognitive feats. In cetaceans, however, a PFC could up to now not be discerned based on its usual topography. Classical in vivo methods like tract tracing are legally not possible to perform in Cetacea, leaving diffusion-weighted imaging (DWI) as the most viable alternative. This is the first investigation focussed on the identification of the cetacean PFC homologue. In our study, we applied the constrained spherical deconvolution (CSD) algorithm on 3 T DWI scans of three formalin-fixed brains of bottlenose dolphins (Tursiops truncatus) and compared the obtained results to human brains, using the same methodology. We first identified fibres related to the medio-dorsal thalamic nuclei (MD) and then seeded the obtained putative PFC in the dolphin as well as the known PFC in humans. Our results outlined the dolphin PFC in areas not previously studied, in the cranio-lateral, ectolateral and opercular gyri, and furthermore demonstrated a similar connectivity pattern between the human and dolphin PFC. The antero-lateral rotation of the PFC, like in other areas, might be the result of the telescoping process which occurred in these animals during evolution.
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Affiliation(s)
- Tommaso Gerussi
- Department of Comparative Biomedicine and Food Science (BCA), University of Padua, Legnaro, Italy.
| | - Jean-Marie Graïc
- Department of Comparative Biomedicine and Food Science (BCA), University of Padua, Legnaro, Italy
| | - Antonella Peruffo
- Department of Comparative Biomedicine and Food Science (BCA), University of Padua, Legnaro, Italy
| | - Mehdi Behroozi
- Department of Biopsychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr-University Bochum, 44801, Bochum, Germany
| | - Lara Schlaffke
- Department of Neurology, BG-University Hospital Bergmannsheil, Ruhr-University Bochum, Bürkle-de-La-Camp-Platz 1, 44789, Bochum, Germany
| | - Stefan Huggenberger
- Institute of Anatomy and Clinical Morphology, Witten/Herdecke University, Alfred-Herrhausen-Straße 50, 58448, Witten, Germany
| | - Onur Güntürkün
- Department of Biopsychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr-University Bochum, 44801, Bochum, Germany
- Research Center One Health Ruhr, Research Alliance Ruhr, Ruhr-University Bochum, Bochum, Germany
| | - Bruno Cozzi
- Department of Comparative Biomedicine and Food Science (BCA), University of Padua, Legnaro, Italy
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12
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Ojeda Valencia G, Gregg NM, Huang H, Lundstrom BN, Brinkmann BH, Pal Attia T, Van Gompel JJ, Bernstein MA, In MH, Huston J, Worrell GA, Miller KJ, Hermes D. Signatures of Electrical Stimulation Driven Network Interactions in the Human Limbic System. J Neurosci 2023; 43:6697-6711. [PMID: 37620159 PMCID: PMC10538586 DOI: 10.1523/jneurosci.2201-22.2023] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 08/04/2023] [Accepted: 08/08/2023] [Indexed: 08/26/2023] Open
Abstract
Stimulation-evoked signals are starting to be used as biomarkers to indicate the state and health of brain networks. The human limbic network, often targeted for brain stimulation therapy, is involved in emotion and memory processing. Previous anatomic, neurophysiological, and functional studies suggest distinct subsystems within the limbic network (Rolls, 2015). Studies using intracranial electrical stimulation, however, have emphasized the similarities of the evoked waveforms across the limbic network. We test whether these subsystems have distinct stimulation-driven signatures. In eight patients (four male, four female) with drug-resistant epilepsy, we stimulated the limbic system with single-pulse electrical stimulation. Reliable corticocortical evoked potentials (CCEPs) were measured between hippocampus and the posterior cingulate cortex (PCC) and between the amygdala and the anterior cingulate cortex (ACC). However, the CCEP waveform in the PCC after hippocampal stimulation showed a unique and reliable morphology, which we term the "limbic Hippocampus-Anterior nucleus of the thalamus-Posterior cingulate, HAP-wave." This limbic HAP-wave was visually distinct and separately decoded from the CCEP waveform in ACC after amygdala stimulation. Diffusion MRI data show that the measured end points in the PCC overlap with the end points of the parolfactory cingulum bundle rather than the parahippocampal cingulum, suggesting that the limbic HAP-wave may travel through fornix, mammillary bodies, and the anterior nucleus of the thalamus (ANT). This was further confirmed by stimulating the ANT, which evoked the same limbic HAP-wave but with an earlier latency. Limbic subsystems have unique stimulation-evoked signatures that may be used in the future to help network pathology diagnosis.SIGNIFICANCE STATEMENT The limbic system is often compromised in diverse clinical conditions, such as epilepsy or Alzheimer's disease, and characterizing its typical circuit responses may provide diagnostic insight. Stimulation-evoked waveforms have been used in the motor system to diagnose circuit pathology. We translate this framework to limbic subsystems using human intracranial stereo EEG (sEEG) recordings that measure deeper brain areas. Our sEEG recordings describe a stimulation-evoked waveform characteristic to the memory and spatial subsystem of the limbic network that we term the "limbic HAP-wave." The limbic HAP-wave follows anatomic white matter pathways from hippocampus to thalamus to the posterior cingulum and shows promise as a distinct biomarker of signaling in the human brain memory and spatial limbic network.
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Affiliation(s)
- Gabriela Ojeda Valencia
- Department of Physiology and Biomedical Engineering, Mayo Clinic Rochester, Rochester, Minnesota 55902
| | - Nicholas M Gregg
- Department of Neurology, Mayo Clinic Rochester, Rochester, Minnesota 55902
| | - Harvey Huang
- Mayo Clinic Medical Scientist Training Program, Mayo Clinic Rochester, Rochester, Minnesota 55902
| | - Brian N Lundstrom
- Department of Neurology, Mayo Clinic Rochester, Rochester, Minnesota 55902
| | | | - Tal Pal Attia
- Department of Physiology and Biomedical Engineering, Mayo Clinic Rochester, Rochester, Minnesota 55902
| | - Jamie J Van Gompel
- Department of Neurologic Surgery, Mayo Clinic Rochester, Rochester, Minnesota 55902
| | - Matt A Bernstein
- Department of Radiology, Mayo Clinic Rochester, Rochester, Minnesota 55902
| | - Myung-Ho In
- Department of Radiology, Mayo Clinic Rochester, Rochester, Minnesota 55902
| | - John Huston
- Department of Radiology, Mayo Clinic Rochester, Rochester, Minnesota 55902
| | - Gregory A Worrell
- Department of Physiology and Biomedical Engineering, Mayo Clinic Rochester, Rochester, Minnesota 55902
- Department of Neurology, Mayo Clinic Rochester, Rochester, Minnesota 55902
| | - Kai J Miller
- Department of Physiology and Biomedical Engineering, Mayo Clinic Rochester, Rochester, Minnesota 55902
- Department of Neurologic Surgery, Mayo Clinic Rochester, Rochester, Minnesota 55902
| | - Dora Hermes
- Department of Physiology and Biomedical Engineering, Mayo Clinic Rochester, Rochester, Minnesota 55902
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13
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Sainburg LE, Janson AP, Johnson GW, Jiang JW, Rogers BP, Chang C, Englot DJ, Morgan VL. Structural disconnection relates to functional changes after temporal lobe epilepsy surgery. Brain 2023; 146:3913-3922. [PMID: 37018067 PMCID: PMC10473561 DOI: 10.1093/brain/awad117] [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: 10/11/2022] [Revised: 03/08/2023] [Accepted: 03/23/2023] [Indexed: 04/06/2023] Open
Abstract
Epilepsy surgery consists of surgical resection of the epileptic focus and is recommended for patients with drug-resistant focal epilepsy. However, focal brain lesions can lead to effects in distant brain regions. Similarly, the focal resection in temporal lobe epilepsy surgery has been shown to lead to functional changes distant from the resection. Here we hypothesize that there are changes in brain function caused by temporal lobe epilepsy surgery in regions distant from the resection that are due to their structural disconnection from the resected epileptic focus. Therefore, the goal of this study was to localize changes in brain function caused by temporal lobe epilepsy surgery and relate them to the disconnection from the resected epileptic focus. This study takes advantage of the unique opportunity that epilepsy surgery provides to investigate the effects of focal disconnections on brain function in humans, which has implications in epilepsy and broader neuroscience. Changes in brain function from pre- to post-epilepsy surgery were quantified in a group of temporal lobe epilepsy patients (n = 36) using a measure of resting state functional MRI activity fluctuations. We identified regions with significant functional MRI changes that had high structural connectivity to the resected region in healthy controls (n = 96) and patients based on diffusion MRI. The structural disconnection from the resected epileptic focus was then estimated using presurgical diffusion MRI and related to the functional MRI changes from pre- to post-surgery in these regions. Functional MRI activity fluctuations increased from pre- to post-surgery in temporal lobe epilepsy in the two regions most highly structurally connected to the resected epileptic focus in healthy controls and patients-the thalamus and the fusiform gyrus ipsilateral to the side of surgery (PFWE < 0.05). Broader surgeries led to larger functional MRI changes in the thalamus than more selective surgeries (P < 0.05), but no other clinical variables were related to functional MRI changes in either the thalamus or fusiform. The magnitude of the functional MRI changes in both the thalamus and fusiform increased with a higher estimated structural disconnection from the resected epileptic focus when controlling for the type of surgery (P < 0.05). These results suggest that the structural disconnection from the resected epileptic focus may contribute to the functional changes seen after epilepsy surgery. Broadly, this study provides a novel link between focal disconnections in the structural brain network and downstream effects on function in distant brain regions.
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Affiliation(s)
- Lucas E Sainburg
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37232, USA
- Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Andrew P Janson
- Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Graham W Johnson
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37232, USA
- Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Jasmine W Jiang
- Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Baxter P Rogers
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37232, USA
- Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Catie Chang
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37232, USA
- Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN 37212, USA
| | - Dario J Englot
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37232, USA
- Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN 37212, USA
| | - Victoria L Morgan
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37232, USA
- Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN 37232, USA
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14
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Ware AL, Lebel C, Onicas A, Abdeen N, Beauchamp MH, Beaulieu C, Bjornson BH, Craig W, Dehaes M, Doan Q, Deschenes S, Freedman SB, Goodyear BG, Gravel J, Ledoux AA, Zemek R, Yeates KO. Longitudinal Gray Matter Trajectories in Pediatric Mild Traumatic Brain Injury. Neurology 2023; 101:e728-e739. [PMID: 37353339 PMCID: PMC10437012 DOI: 10.1212/wnl.0000000000207508] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 04/24/2023] [Indexed: 06/25/2023] Open
Abstract
BACKGROUND AND OBJECTIVES This prospective, longitudinal cohort study examined trajectories of brain gray matter macrostructure after pediatric mild traumatic brain injury (mTBI). METHODS Children aged 8-16.99 years with mTBI or mild orthopedic injury (OI) were recruited from 5 pediatric emergency departments. Reliable change between preinjury and 1 month postinjury symptom ratings was used to classify mTBI with or without persistent symptoms. Children completed postacute (2-33 days) and/or chronic (3 or 6 months) postinjury T1-weighted MRI, from which macrostructural metrics were derived using automated segmentation. Linear mixed-effects models were used, with multiple comparisons correction. RESULTS Groups (N = 623; 407 mTBI/216 OI; 59% male; age mean = 12.03, SD = 2.38 years) did not differ in total brain, white, or gray matter volumes or regional subcortical gray matter volumes. However, time postinjury, age at injury, and biological sex-moderated differences among symptom groups in cortical thickness of the angular gyrus, basal forebrain, calcarine cortex, gyrus rectus, medial and posterior orbital gyrus, and the subcallosal area all corrected p < 0.05. Gray matter macrostructural metrics did not differ between groups postacutely. However, cortical thinning emerged chronically after mTBI relative to OI in the angular gyrus in older children (d [95% confidence interval] = -0.61 [-1.15 to -0.08]); and in the basal forebrain (-0.47 [-0.94 to -0.01]), subcallosal area (-0.55 [-1.01 to -0.08]), and the posterior orbital gyrus (-0.55 [-1.02 to -0.08]) in females. Cortical thinning was demonstrated for frontal and occipital regions 3 months postinjury in males with mTBI with persistent symptoms vs without persistent symptoms (-0.80 [-1.55 to -0.05] to -0.83 [-1.56 to -0.10]) and 6 months postinjury in females and younger children with mTBI with persistent symptoms relative to mTBI without persistent symptoms and OI (-1.42 [-2.29 to -0.45] to -0.91 [-1.81 to -0.01]). DISCUSSION These findings signal little diagnostic and prognostic utility of postacute gray matter macrostructure in pediatric mTBI. However, mTBI altered the typical course of cortical gray matter thinning up to 6 months postinjury, even after symptoms typically abate in most children. Collapsing across symptom status obscured the neurobiological heterogeneity of discrete clinical outcomes after pediatric mTBI. The results illustrate the need to examine neurobiology in relation to clinical outcomes and within a neurodevelopmental framework.
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Affiliation(s)
- Ashley L Ware
- From the Department of Psychology (A.L.W.), Georgia State University, Atlanta; Department of Neurology (A.L.W.), University of Utah, Salt Lake City; Departments of Psychology (A.L.W., A.O., K.O.Y.) and Radiology (C.L., B.G.G.), Alberta Children's Hospital Research Institute, Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Computer Vision Group (A.O.), Sano Centre for Computational Medicine, Kraków 30-054, Poland; Department of Radiology (N.A.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute; Department of Psychology (M.H.B.), University of Montreal & CHU Sainte-Justine Hospital Research Center, Québec; Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton; Division of Neurology (B.H.B.), Department of Pediatrics, University of British Columbia and BC Children's Hospital Research Institute, Vancouver; University of Alberta and Stollery Children's Hospital (W.C.), Edmonton; Department of Radiology (M.D.), Radio-oncology and Nuclear Medicine, Institute of Biomedical Engineering, University of Montreal; CHU Sainte-Justine Research Center, Québec; Department of Pediatrics (Q.D.), University of British Columbia, BC Children's Hospital Research Institute, Vancouver; CHU Sainte-Justine Research Center (S.D.), Department of Radiology, Radio-oncology and Nuclear Medicine, University of Montreal, Québec; Departments of Pediatrics and Emergency Medicine (S.B.F.), Cumming School of Medicine, University of Calgary, Alberta; Department of Pediatric Emergency Medicine (J.G.); CHU Sainte-Justine, Department of Pediatrics, University of Montréal, Québec; Children's Hospital of Eastern Ontario Research Institute (A.-A.L., R.Z.); Department of Cellular and Molecular Medicine (A.-A.L.) and Pediatrics and Emergency Medicine (R.Z.), University of Ottawa; and Department of Pediatrics and Emergency Medicine (R.Z.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute, Canada.
| | - Catherine Lebel
- From the Department of Psychology (A.L.W.), Georgia State University, Atlanta; Department of Neurology (A.L.W.), University of Utah, Salt Lake City; Departments of Psychology (A.L.W., A.O., K.O.Y.) and Radiology (C.L., B.G.G.), Alberta Children's Hospital Research Institute, Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Computer Vision Group (A.O.), Sano Centre for Computational Medicine, Kraków 30-054, Poland; Department of Radiology (N.A.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute; Department of Psychology (M.H.B.), University of Montreal & CHU Sainte-Justine Hospital Research Center, Québec; Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton; Division of Neurology (B.H.B.), Department of Pediatrics, University of British Columbia and BC Children's Hospital Research Institute, Vancouver; University of Alberta and Stollery Children's Hospital (W.C.), Edmonton; Department of Radiology (M.D.), Radio-oncology and Nuclear Medicine, Institute of Biomedical Engineering, University of Montreal; CHU Sainte-Justine Research Center, Québec; Department of Pediatrics (Q.D.), University of British Columbia, BC Children's Hospital Research Institute, Vancouver; CHU Sainte-Justine Research Center (S.D.), Department of Radiology, Radio-oncology and Nuclear Medicine, University of Montreal, Québec; Departments of Pediatrics and Emergency Medicine (S.B.F.), Cumming School of Medicine, University of Calgary, Alberta; Department of Pediatric Emergency Medicine (J.G.); CHU Sainte-Justine, Department of Pediatrics, University of Montréal, Québec; Children's Hospital of Eastern Ontario Research Institute (A.-A.L., R.Z.); Department of Cellular and Molecular Medicine (A.-A.L.) and Pediatrics and Emergency Medicine (R.Z.), University of Ottawa; and Department of Pediatrics and Emergency Medicine (R.Z.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute, Canada
| | - Adrian Onicas
- From the Department of Psychology (A.L.W.), Georgia State University, Atlanta; Department of Neurology (A.L.W.), University of Utah, Salt Lake City; Departments of Psychology (A.L.W., A.O., K.O.Y.) and Radiology (C.L., B.G.G.), Alberta Children's Hospital Research Institute, Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Computer Vision Group (A.O.), Sano Centre for Computational Medicine, Kraków 30-054, Poland; Department of Radiology (N.A.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute; Department of Psychology (M.H.B.), University of Montreal & CHU Sainte-Justine Hospital Research Center, Québec; Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton; Division of Neurology (B.H.B.), Department of Pediatrics, University of British Columbia and BC Children's Hospital Research Institute, Vancouver; University of Alberta and Stollery Children's Hospital (W.C.), Edmonton; Department of Radiology (M.D.), Radio-oncology and Nuclear Medicine, Institute of Biomedical Engineering, University of Montreal; CHU Sainte-Justine Research Center, Québec; Department of Pediatrics (Q.D.), University of British Columbia, BC Children's Hospital Research Institute, Vancouver; CHU Sainte-Justine Research Center (S.D.), Department of Radiology, Radio-oncology and Nuclear Medicine, University of Montreal, Québec; Departments of Pediatrics and Emergency Medicine (S.B.F.), Cumming School of Medicine, University of Calgary, Alberta; Department of Pediatric Emergency Medicine (J.G.); CHU Sainte-Justine, Department of Pediatrics, University of Montréal, Québec; Children's Hospital of Eastern Ontario Research Institute (A.-A.L., R.Z.); Department of Cellular and Molecular Medicine (A.-A.L.) and Pediatrics and Emergency Medicine (R.Z.), University of Ottawa; and Department of Pediatrics and Emergency Medicine (R.Z.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute, Canada
| | - Nishard Abdeen
- From the Department of Psychology (A.L.W.), Georgia State University, Atlanta; Department of Neurology (A.L.W.), University of Utah, Salt Lake City; Departments of Psychology (A.L.W., A.O., K.O.Y.) and Radiology (C.L., B.G.G.), Alberta Children's Hospital Research Institute, Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Computer Vision Group (A.O.), Sano Centre for Computational Medicine, Kraków 30-054, Poland; Department of Radiology (N.A.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute; Department of Psychology (M.H.B.), University of Montreal & CHU Sainte-Justine Hospital Research Center, Québec; Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton; Division of Neurology (B.H.B.), Department of Pediatrics, University of British Columbia and BC Children's Hospital Research Institute, Vancouver; University of Alberta and Stollery Children's Hospital (W.C.), Edmonton; Department of Radiology (M.D.), Radio-oncology and Nuclear Medicine, Institute of Biomedical Engineering, University of Montreal; CHU Sainte-Justine Research Center, Québec; Department of Pediatrics (Q.D.), University of British Columbia, BC Children's Hospital Research Institute, Vancouver; CHU Sainte-Justine Research Center (S.D.), Department of Radiology, Radio-oncology and Nuclear Medicine, University of Montreal, Québec; Departments of Pediatrics and Emergency Medicine (S.B.F.), Cumming School of Medicine, University of Calgary, Alberta; Department of Pediatric Emergency Medicine (J.G.); CHU Sainte-Justine, Department of Pediatrics, University of Montréal, Québec; Children's Hospital of Eastern Ontario Research Institute (A.-A.L., R.Z.); Department of Cellular and Molecular Medicine (A.-A.L.) and Pediatrics and Emergency Medicine (R.Z.), University of Ottawa; and Department of Pediatrics and Emergency Medicine (R.Z.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute, Canada
| | - Miriam H Beauchamp
- From the Department of Psychology (A.L.W.), Georgia State University, Atlanta; Department of Neurology (A.L.W.), University of Utah, Salt Lake City; Departments of Psychology (A.L.W., A.O., K.O.Y.) and Radiology (C.L., B.G.G.), Alberta Children's Hospital Research Institute, Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Computer Vision Group (A.O.), Sano Centre for Computational Medicine, Kraków 30-054, Poland; Department of Radiology (N.A.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute; Department of Psychology (M.H.B.), University of Montreal & CHU Sainte-Justine Hospital Research Center, Québec; Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton; Division of Neurology (B.H.B.), Department of Pediatrics, University of British Columbia and BC Children's Hospital Research Institute, Vancouver; University of Alberta and Stollery Children's Hospital (W.C.), Edmonton; Department of Radiology (M.D.), Radio-oncology and Nuclear Medicine, Institute of Biomedical Engineering, University of Montreal; CHU Sainte-Justine Research Center, Québec; Department of Pediatrics (Q.D.), University of British Columbia, BC Children's Hospital Research Institute, Vancouver; CHU Sainte-Justine Research Center (S.D.), Department of Radiology, Radio-oncology and Nuclear Medicine, University of Montreal, Québec; Departments of Pediatrics and Emergency Medicine (S.B.F.), Cumming School of Medicine, University of Calgary, Alberta; Department of Pediatric Emergency Medicine (J.G.); CHU Sainte-Justine, Department of Pediatrics, University of Montréal, Québec; Children's Hospital of Eastern Ontario Research Institute (A.-A.L., R.Z.); Department of Cellular and Molecular Medicine (A.-A.L.) and Pediatrics and Emergency Medicine (R.Z.), University of Ottawa; and Department of Pediatrics and Emergency Medicine (R.Z.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute, Canada
| | - Christian Beaulieu
- From the Department of Psychology (A.L.W.), Georgia State University, Atlanta; Department of Neurology (A.L.W.), University of Utah, Salt Lake City; Departments of Psychology (A.L.W., A.O., K.O.Y.) and Radiology (C.L., B.G.G.), Alberta Children's Hospital Research Institute, Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Computer Vision Group (A.O.), Sano Centre for Computational Medicine, Kraków 30-054, Poland; Department of Radiology (N.A.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute; Department of Psychology (M.H.B.), University of Montreal & CHU Sainte-Justine Hospital Research Center, Québec; Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton; Division of Neurology (B.H.B.), Department of Pediatrics, University of British Columbia and BC Children's Hospital Research Institute, Vancouver; University of Alberta and Stollery Children's Hospital (W.C.), Edmonton; Department of Radiology (M.D.), Radio-oncology and Nuclear Medicine, Institute of Biomedical Engineering, University of Montreal; CHU Sainte-Justine Research Center, Québec; Department of Pediatrics (Q.D.), University of British Columbia, BC Children's Hospital Research Institute, Vancouver; CHU Sainte-Justine Research Center (S.D.), Department of Radiology, Radio-oncology and Nuclear Medicine, University of Montreal, Québec; Departments of Pediatrics and Emergency Medicine (S.B.F.), Cumming School of Medicine, University of Calgary, Alberta; Department of Pediatric Emergency Medicine (J.G.); CHU Sainte-Justine, Department of Pediatrics, University of Montréal, Québec; Children's Hospital of Eastern Ontario Research Institute (A.-A.L., R.Z.); Department of Cellular and Molecular Medicine (A.-A.L.) and Pediatrics and Emergency Medicine (R.Z.), University of Ottawa; and Department of Pediatrics and Emergency Medicine (R.Z.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute, Canada
| | - Bruce H Bjornson
- From the Department of Psychology (A.L.W.), Georgia State University, Atlanta; Department of Neurology (A.L.W.), University of Utah, Salt Lake City; Departments of Psychology (A.L.W., A.O., K.O.Y.) and Radiology (C.L., B.G.G.), Alberta Children's Hospital Research Institute, Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Computer Vision Group (A.O.), Sano Centre for Computational Medicine, Kraków 30-054, Poland; Department of Radiology (N.A.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute; Department of Psychology (M.H.B.), University of Montreal & CHU Sainte-Justine Hospital Research Center, Québec; Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton; Division of Neurology (B.H.B.), Department of Pediatrics, University of British Columbia and BC Children's Hospital Research Institute, Vancouver; University of Alberta and Stollery Children's Hospital (W.C.), Edmonton; Department of Radiology (M.D.), Radio-oncology and Nuclear Medicine, Institute of Biomedical Engineering, University of Montreal; CHU Sainte-Justine Research Center, Québec; Department of Pediatrics (Q.D.), University of British Columbia, BC Children's Hospital Research Institute, Vancouver; CHU Sainte-Justine Research Center (S.D.), Department of Radiology, Radio-oncology and Nuclear Medicine, University of Montreal, Québec; Departments of Pediatrics and Emergency Medicine (S.B.F.), Cumming School of Medicine, University of Calgary, Alberta; Department of Pediatric Emergency Medicine (J.G.); CHU Sainte-Justine, Department of Pediatrics, University of Montréal, Québec; Children's Hospital of Eastern Ontario Research Institute (A.-A.L., R.Z.); Department of Cellular and Molecular Medicine (A.-A.L.) and Pediatrics and Emergency Medicine (R.Z.), University of Ottawa; and Department of Pediatrics and Emergency Medicine (R.Z.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute, Canada
| | - William Craig
- From the Department of Psychology (A.L.W.), Georgia State University, Atlanta; Department of Neurology (A.L.W.), University of Utah, Salt Lake City; Departments of Psychology (A.L.W., A.O., K.O.Y.) and Radiology (C.L., B.G.G.), Alberta Children's Hospital Research Institute, Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Computer Vision Group (A.O.), Sano Centre for Computational Medicine, Kraków 30-054, Poland; Department of Radiology (N.A.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute; Department of Psychology (M.H.B.), University of Montreal & CHU Sainte-Justine Hospital Research Center, Québec; Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton; Division of Neurology (B.H.B.), Department of Pediatrics, University of British Columbia and BC Children's Hospital Research Institute, Vancouver; University of Alberta and Stollery Children's Hospital (W.C.), Edmonton; Department of Radiology (M.D.), Radio-oncology and Nuclear Medicine, Institute of Biomedical Engineering, University of Montreal; CHU Sainte-Justine Research Center, Québec; Department of Pediatrics (Q.D.), University of British Columbia, BC Children's Hospital Research Institute, Vancouver; CHU Sainte-Justine Research Center (S.D.), Department of Radiology, Radio-oncology and Nuclear Medicine, University of Montreal, Québec; Departments of Pediatrics and Emergency Medicine (S.B.F.), Cumming School of Medicine, University of Calgary, Alberta; Department of Pediatric Emergency Medicine (J.G.); CHU Sainte-Justine, Department of Pediatrics, University of Montréal, Québec; Children's Hospital of Eastern Ontario Research Institute (A.-A.L., R.Z.); Department of Cellular and Molecular Medicine (A.-A.L.) and Pediatrics and Emergency Medicine (R.Z.), University of Ottawa; and Department of Pediatrics and Emergency Medicine (R.Z.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute, Canada
| | - Mathieu Dehaes
- From the Department of Psychology (A.L.W.), Georgia State University, Atlanta; Department of Neurology (A.L.W.), University of Utah, Salt Lake City; Departments of Psychology (A.L.W., A.O., K.O.Y.) and Radiology (C.L., B.G.G.), Alberta Children's Hospital Research Institute, Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Computer Vision Group (A.O.), Sano Centre for Computational Medicine, Kraków 30-054, Poland; Department of Radiology (N.A.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute; Department of Psychology (M.H.B.), University of Montreal & CHU Sainte-Justine Hospital Research Center, Québec; Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton; Division of Neurology (B.H.B.), Department of Pediatrics, University of British Columbia and BC Children's Hospital Research Institute, Vancouver; University of Alberta and Stollery Children's Hospital (W.C.), Edmonton; Department of Radiology (M.D.), Radio-oncology and Nuclear Medicine, Institute of Biomedical Engineering, University of Montreal; CHU Sainte-Justine Research Center, Québec; Department of Pediatrics (Q.D.), University of British Columbia, BC Children's Hospital Research Institute, Vancouver; CHU Sainte-Justine Research Center (S.D.), Department of Radiology, Radio-oncology and Nuclear Medicine, University of Montreal, Québec; Departments of Pediatrics and Emergency Medicine (S.B.F.), Cumming School of Medicine, University of Calgary, Alberta; Department of Pediatric Emergency Medicine (J.G.); CHU Sainte-Justine, Department of Pediatrics, University of Montréal, Québec; Children's Hospital of Eastern Ontario Research Institute (A.-A.L., R.Z.); Department of Cellular and Molecular Medicine (A.-A.L.) and Pediatrics and Emergency Medicine (R.Z.), University of Ottawa; and Department of Pediatrics and Emergency Medicine (R.Z.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute, Canada
| | - Quynh Doan
- From the Department of Psychology (A.L.W.), Georgia State University, Atlanta; Department of Neurology (A.L.W.), University of Utah, Salt Lake City; Departments of Psychology (A.L.W., A.O., K.O.Y.) and Radiology (C.L., B.G.G.), Alberta Children's Hospital Research Institute, Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Computer Vision Group (A.O.), Sano Centre for Computational Medicine, Kraków 30-054, Poland; Department of Radiology (N.A.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute; Department of Psychology (M.H.B.), University of Montreal & CHU Sainte-Justine Hospital Research Center, Québec; Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton; Division of Neurology (B.H.B.), Department of Pediatrics, University of British Columbia and BC Children's Hospital Research Institute, Vancouver; University of Alberta and Stollery Children's Hospital (W.C.), Edmonton; Department of Radiology (M.D.), Radio-oncology and Nuclear Medicine, Institute of Biomedical Engineering, University of Montreal; CHU Sainte-Justine Research Center, Québec; Department of Pediatrics (Q.D.), University of British Columbia, BC Children's Hospital Research Institute, Vancouver; CHU Sainte-Justine Research Center (S.D.), Department of Radiology, Radio-oncology and Nuclear Medicine, University of Montreal, Québec; Departments of Pediatrics and Emergency Medicine (S.B.F.), Cumming School of Medicine, University of Calgary, Alberta; Department of Pediatric Emergency Medicine (J.G.); CHU Sainte-Justine, Department of Pediatrics, University of Montréal, Québec; Children's Hospital of Eastern Ontario Research Institute (A.-A.L., R.Z.); Department of Cellular and Molecular Medicine (A.-A.L.) and Pediatrics and Emergency Medicine (R.Z.), University of Ottawa; and Department of Pediatrics and Emergency Medicine (R.Z.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute, Canada
| | - Sylvain Deschenes
- From the Department of Psychology (A.L.W.), Georgia State University, Atlanta; Department of Neurology (A.L.W.), University of Utah, Salt Lake City; Departments of Psychology (A.L.W., A.O., K.O.Y.) and Radiology (C.L., B.G.G.), Alberta Children's Hospital Research Institute, Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Computer Vision Group (A.O.), Sano Centre for Computational Medicine, Kraków 30-054, Poland; Department of Radiology (N.A.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute; Department of Psychology (M.H.B.), University of Montreal & CHU Sainte-Justine Hospital Research Center, Québec; Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton; Division of Neurology (B.H.B.), Department of Pediatrics, University of British Columbia and BC Children's Hospital Research Institute, Vancouver; University of Alberta and Stollery Children's Hospital (W.C.), Edmonton; Department of Radiology (M.D.), Radio-oncology and Nuclear Medicine, Institute of Biomedical Engineering, University of Montreal; CHU Sainte-Justine Research Center, Québec; Department of Pediatrics (Q.D.), University of British Columbia, BC Children's Hospital Research Institute, Vancouver; CHU Sainte-Justine Research Center (S.D.), Department of Radiology, Radio-oncology and Nuclear Medicine, University of Montreal, Québec; Departments of Pediatrics and Emergency Medicine (S.B.F.), Cumming School of Medicine, University of Calgary, Alberta; Department of Pediatric Emergency Medicine (J.G.); CHU Sainte-Justine, Department of Pediatrics, University of Montréal, Québec; Children's Hospital of Eastern Ontario Research Institute (A.-A.L., R.Z.); Department of Cellular and Molecular Medicine (A.-A.L.) and Pediatrics and Emergency Medicine (R.Z.), University of Ottawa; and Department of Pediatrics and Emergency Medicine (R.Z.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute, Canada
| | - Stephen B Freedman
- From the Department of Psychology (A.L.W.), Georgia State University, Atlanta; Department of Neurology (A.L.W.), University of Utah, Salt Lake City; Departments of Psychology (A.L.W., A.O., K.O.Y.) and Radiology (C.L., B.G.G.), Alberta Children's Hospital Research Institute, Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Computer Vision Group (A.O.), Sano Centre for Computational Medicine, Kraków 30-054, Poland; Department of Radiology (N.A.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute; Department of Psychology (M.H.B.), University of Montreal & CHU Sainte-Justine Hospital Research Center, Québec; Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton; Division of Neurology (B.H.B.), Department of Pediatrics, University of British Columbia and BC Children's Hospital Research Institute, Vancouver; University of Alberta and Stollery Children's Hospital (W.C.), Edmonton; Department of Radiology (M.D.), Radio-oncology and Nuclear Medicine, Institute of Biomedical Engineering, University of Montreal; CHU Sainte-Justine Research Center, Québec; Department of Pediatrics (Q.D.), University of British Columbia, BC Children's Hospital Research Institute, Vancouver; CHU Sainte-Justine Research Center (S.D.), Department of Radiology, Radio-oncology and Nuclear Medicine, University of Montreal, Québec; Departments of Pediatrics and Emergency Medicine (S.B.F.), Cumming School of Medicine, University of Calgary, Alberta; Department of Pediatric Emergency Medicine (J.G.); CHU Sainte-Justine, Department of Pediatrics, University of Montréal, Québec; Children's Hospital of Eastern Ontario Research Institute (A.-A.L., R.Z.); Department of Cellular and Molecular Medicine (A.-A.L.) and Pediatrics and Emergency Medicine (R.Z.), University of Ottawa; and Department of Pediatrics and Emergency Medicine (R.Z.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute, Canada
| | - Bradley G Goodyear
- From the Department of Psychology (A.L.W.), Georgia State University, Atlanta; Department of Neurology (A.L.W.), University of Utah, Salt Lake City; Departments of Psychology (A.L.W., A.O., K.O.Y.) and Radiology (C.L., B.G.G.), Alberta Children's Hospital Research Institute, Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Computer Vision Group (A.O.), Sano Centre for Computational Medicine, Kraków 30-054, Poland; Department of Radiology (N.A.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute; Department of Psychology (M.H.B.), University of Montreal & CHU Sainte-Justine Hospital Research Center, Québec; Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton; Division of Neurology (B.H.B.), Department of Pediatrics, University of British Columbia and BC Children's Hospital Research Institute, Vancouver; University of Alberta and Stollery Children's Hospital (W.C.), Edmonton; Department of Radiology (M.D.), Radio-oncology and Nuclear Medicine, Institute of Biomedical Engineering, University of Montreal; CHU Sainte-Justine Research Center, Québec; Department of Pediatrics (Q.D.), University of British Columbia, BC Children's Hospital Research Institute, Vancouver; CHU Sainte-Justine Research Center (S.D.), Department of Radiology, Radio-oncology and Nuclear Medicine, University of Montreal, Québec; Departments of Pediatrics and Emergency Medicine (S.B.F.), Cumming School of Medicine, University of Calgary, Alberta; Department of Pediatric Emergency Medicine (J.G.); CHU Sainte-Justine, Department of Pediatrics, University of Montréal, Québec; Children's Hospital of Eastern Ontario Research Institute (A.-A.L., R.Z.); Department of Cellular and Molecular Medicine (A.-A.L.) and Pediatrics and Emergency Medicine (R.Z.), University of Ottawa; and Department of Pediatrics and Emergency Medicine (R.Z.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute, Canada
| | - Jocelyn Gravel
- From the Department of Psychology (A.L.W.), Georgia State University, Atlanta; Department of Neurology (A.L.W.), University of Utah, Salt Lake City; Departments of Psychology (A.L.W., A.O., K.O.Y.) and Radiology (C.L., B.G.G.), Alberta Children's Hospital Research Institute, Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Computer Vision Group (A.O.), Sano Centre for Computational Medicine, Kraków 30-054, Poland; Department of Radiology (N.A.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute; Department of Psychology (M.H.B.), University of Montreal & CHU Sainte-Justine Hospital Research Center, Québec; Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton; Division of Neurology (B.H.B.), Department of Pediatrics, University of British Columbia and BC Children's Hospital Research Institute, Vancouver; University of Alberta and Stollery Children's Hospital (W.C.), Edmonton; Department of Radiology (M.D.), Radio-oncology and Nuclear Medicine, Institute of Biomedical Engineering, University of Montreal; CHU Sainte-Justine Research Center, Québec; Department of Pediatrics (Q.D.), University of British Columbia, BC Children's Hospital Research Institute, Vancouver; CHU Sainte-Justine Research Center (S.D.), Department of Radiology, Radio-oncology and Nuclear Medicine, University of Montreal, Québec; Departments of Pediatrics and Emergency Medicine (S.B.F.), Cumming School of Medicine, University of Calgary, Alberta; Department of Pediatric Emergency Medicine (J.G.); CHU Sainte-Justine, Department of Pediatrics, University of Montréal, Québec; Children's Hospital of Eastern Ontario Research Institute (A.-A.L., R.Z.); Department of Cellular and Molecular Medicine (A.-A.L.) and Pediatrics and Emergency Medicine (R.Z.), University of Ottawa; and Department of Pediatrics and Emergency Medicine (R.Z.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute, Canada
| | - Andrée-Anne Ledoux
- From the Department of Psychology (A.L.W.), Georgia State University, Atlanta; Department of Neurology (A.L.W.), University of Utah, Salt Lake City; Departments of Psychology (A.L.W., A.O., K.O.Y.) and Radiology (C.L., B.G.G.), Alberta Children's Hospital Research Institute, Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Computer Vision Group (A.O.), Sano Centre for Computational Medicine, Kraków 30-054, Poland; Department of Radiology (N.A.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute; Department of Psychology (M.H.B.), University of Montreal & CHU Sainte-Justine Hospital Research Center, Québec; Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton; Division of Neurology (B.H.B.), Department of Pediatrics, University of British Columbia and BC Children's Hospital Research Institute, Vancouver; University of Alberta and Stollery Children's Hospital (W.C.), Edmonton; Department of Radiology (M.D.), Radio-oncology and Nuclear Medicine, Institute of Biomedical Engineering, University of Montreal; CHU Sainte-Justine Research Center, Québec; Department of Pediatrics (Q.D.), University of British Columbia, BC Children's Hospital Research Institute, Vancouver; CHU Sainte-Justine Research Center (S.D.), Department of Radiology, Radio-oncology and Nuclear Medicine, University of Montreal, Québec; Departments of Pediatrics and Emergency Medicine (S.B.F.), Cumming School of Medicine, University of Calgary, Alberta; Department of Pediatric Emergency Medicine (J.G.); CHU Sainte-Justine, Department of Pediatrics, University of Montréal, Québec; Children's Hospital of Eastern Ontario Research Institute (A.-A.L., R.Z.); Department of Cellular and Molecular Medicine (A.-A.L.) and Pediatrics and Emergency Medicine (R.Z.), University of Ottawa; and Department of Pediatrics and Emergency Medicine (R.Z.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute, Canada
| | - Roger Zemek
- From the Department of Psychology (A.L.W.), Georgia State University, Atlanta; Department of Neurology (A.L.W.), University of Utah, Salt Lake City; Departments of Psychology (A.L.W., A.O., K.O.Y.) and Radiology (C.L., B.G.G.), Alberta Children's Hospital Research Institute, Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Computer Vision Group (A.O.), Sano Centre for Computational Medicine, Kraków 30-054, Poland; Department of Radiology (N.A.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute; Department of Psychology (M.H.B.), University of Montreal & CHU Sainte-Justine Hospital Research Center, Québec; Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton; Division of Neurology (B.H.B.), Department of Pediatrics, University of British Columbia and BC Children's Hospital Research Institute, Vancouver; University of Alberta and Stollery Children's Hospital (W.C.), Edmonton; Department of Radiology (M.D.), Radio-oncology and Nuclear Medicine, Institute of Biomedical Engineering, University of Montreal; CHU Sainte-Justine Research Center, Québec; Department of Pediatrics (Q.D.), University of British Columbia, BC Children's Hospital Research Institute, Vancouver; CHU Sainte-Justine Research Center (S.D.), Department of Radiology, Radio-oncology and Nuclear Medicine, University of Montreal, Québec; Departments of Pediatrics and Emergency Medicine (S.B.F.), Cumming School of Medicine, University of Calgary, Alberta; Department of Pediatric Emergency Medicine (J.G.); CHU Sainte-Justine, Department of Pediatrics, University of Montréal, Québec; Children's Hospital of Eastern Ontario Research Institute (A.-A.L., R.Z.); Department of Cellular and Molecular Medicine (A.-A.L.) and Pediatrics and Emergency Medicine (R.Z.), University of Ottawa; and Department of Pediatrics and Emergency Medicine (R.Z.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute, Canada
| | - Keith Owen Yeates
- From the Department of Psychology (A.L.W.), Georgia State University, Atlanta; Department of Neurology (A.L.W.), University of Utah, Salt Lake City; Departments of Psychology (A.L.W., A.O., K.O.Y.) and Radiology (C.L., B.G.G.), Alberta Children's Hospital Research Institute, Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Computer Vision Group (A.O.), Sano Centre for Computational Medicine, Kraków 30-054, Poland; Department of Radiology (N.A.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute; Department of Psychology (M.H.B.), University of Montreal & CHU Sainte-Justine Hospital Research Center, Québec; Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton; Division of Neurology (B.H.B.), Department of Pediatrics, University of British Columbia and BC Children's Hospital Research Institute, Vancouver; University of Alberta and Stollery Children's Hospital (W.C.), Edmonton; Department of Radiology (M.D.), Radio-oncology and Nuclear Medicine, Institute of Biomedical Engineering, University of Montreal; CHU Sainte-Justine Research Center, Québec; Department of Pediatrics (Q.D.), University of British Columbia, BC Children's Hospital Research Institute, Vancouver; CHU Sainte-Justine Research Center (S.D.), Department of Radiology, Radio-oncology and Nuclear Medicine, University of Montreal, Québec; Departments of Pediatrics and Emergency Medicine (S.B.F.), Cumming School of Medicine, University of Calgary, Alberta; Department of Pediatric Emergency Medicine (J.G.); CHU Sainte-Justine, Department of Pediatrics, University of Montréal, Québec; Children's Hospital of Eastern Ontario Research Institute (A.-A.L., R.Z.); Department of Cellular and Molecular Medicine (A.-A.L.) and Pediatrics and Emergency Medicine (R.Z.), University of Ottawa; and Department of Pediatrics and Emergency Medicine (R.Z.), University of Ottawa, Children's Hospital of Eastern Ontario Research Institute, Canada
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15
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Kong Q, Sacca V, Walker K, Hodges S, Kong J. Thalamocortical Mechanisms Underlying Real and Imagined Acupuncture. Biomedicines 2023; 11:1830. [PMID: 37509469 PMCID: PMC10377130 DOI: 10.3390/biomedicines11071830] [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: 06/07/2023] [Revised: 06/16/2023] [Accepted: 06/17/2023] [Indexed: 07/30/2023] Open
Abstract
Both acupuncture and imagery have shown potential for chronic pain management. However, the mechanisms underlying their analgesic effects remain unclear. This study aims to explore the thalamocortical mechanisms underlying acupuncture and video-guided acupuncture imagery treatment (VGAIT), a combination of acupuncture and guided imagery, using the resting-state functional connectivity (rsFC) of three thalamic subdivisions-the ventral posterolateral thalamus (VPL), mediodorsal thalamus (MD), and motor thalamus subregion (Mthal)-associated with somatosensory, limbic, and motor circuity. Twenty-seven healthy individuals participated in a within-subject randomized crossover design study. Results showed that compared to sham acupuncture, real acupuncture altered the rsFC between the thalamus and default mode network (DMN) (i.e., mPFC, PCC, and precuneus), as well as the prefrontal and somatosensory cortex (SI/SII). Compared to the VGAIT control, VGAIT demonstrated greater rsFC between the thalamus and key nodes within the interoceptive network (i.e., anterior insula, ACC, PFC, and SI/SII), as well as the motor and sensory cortices (i.e., M1, SMA, and temporal/occipital cortices). Furthermore, compared to real acupuncture, VGAIT demonstrated increased rsFC between the thalamus (VPL/MD/Mthal) and task-positive network (TPN). Further correlations between differences in rsFC and changes in the heat or pressure pain threshold were also observed. These findings suggest that both acupuncture- and VGAIT-induced analgesia are associated with thalamocortical networks. Elucidating the underlying mechanism of VGAIT and acupuncture may facilitate their development, particularly VGAIT, which may be used as a potential remote-delivered pain management approach.
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Affiliation(s)
| | | | | | | | - Jian Kong
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA
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16
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Wu D, Schaper FLWVJ, Jin G, Qi L, Du J, Wang X, Wang Y, Xu C, Wang X, Yu T, Fox MD, Ren L. Human anterior thalamic stimulation evoked cortical potentials align with intrinsic functional connectivity. Neuroimage 2023:120243. [PMID: 37353098 DOI: 10.1016/j.neuroimage.2023.120243] [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: 12/19/2022] [Revised: 06/05/2023] [Accepted: 06/20/2023] [Indexed: 06/25/2023] Open
Abstract
Characterizing human thalamocortical network is fundamental for understanding a vast array of human behaviors since the thalamus plays a central role in cortico-subcortical communication. Over the past few decades, advances in functional magnetic resonance imaging have allowed for spatial mapping of intrinsic resting-state functional connectivity (RSFC) between both cortical regions and in cortico-subcortical networks. Despite these advances, identifying the electrophysiological basis of human thalamocortical network architecture remains challenging. By leveraging stereoelectroencephalography electrodes temporarily implanted into distributed cortical regions and the anterior nucleus of the thalamus (ANT) of 10 patients with refractory focal epilepsy, we tested whether ANT stimulation evoked cortical potentials align with RSFC from the stimulation site, derived from a normative functional connectome (n=1000). Our study identifies spatial convergence of ANT stimulation evoked cortical potentials and normative RSFC. Other than connections to the Papez circuit, the ANT was found to be closely connected to several distinct higher-order association cortices, including the precuneus, angular gyrus, dorsal lateral prefrontal cortex, and anterior insula. Remarkably, we found that the spatial distribution and magnitude of cortical-evoked responses to single-pulse electrical stimulation of the ANT aligned with the spatial pattern and strength of normative RSFC of the stimulation site. The present study provides electrophysiological evidence that stimulation evoked electrical activity flows along intrinsic brain networks connected on a thalamocortical level.
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Affiliation(s)
- Di Wu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Clinical Research Center of Epilepsy, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; National Center for Neurological Disorders, Beijing 100053, China
| | - Frederic L W V J Schaper
- Center of Brain Circuit Therapeutics, Departments of Neurology, Psychiatry, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Guangyuan Jin
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Clinical Research Center of Epilepsy, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; National Center for Neurological Disorders, Beijing 100053, China
| | - Lei Qi
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Clinical Research Center of Epilepsy, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; National Center for Neurological Disorders, Beijing 100053, China
| | - Jialin Du
- Department of Pharmacy Phase I Clinical Trial Center, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Xiaopeng Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Clinical Research Center of Epilepsy, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; National Center for Neurological Disorders, Beijing 100053, China
| | - Yuke Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Cuiping Xu
- National Center for Neurological Disorders, Beijing 100053, China; Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Xueyuan Wang
- National Center for Neurological Disorders, Beijing 100053, China; Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Tao Yu
- National Center for Neurological Disorders, Beijing 100053, China; Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Michael D Fox
- Center of Brain Circuit Therapeutics, Departments of Neurology, Psychiatry, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, United States; Berenson-Allen Center for Non-invasive Brain Stimulation, Department of Neurology, Harvard Medical School and Beth Israel Deaconess Medical Center, Boston, MA 02115, United States; Martinos Center for Biomedical Imaging, Departments of Neurology and Radiology, Harvard Medical School and Massachusetts General Hospital, Boston, MA 02115, United States; Havard Medical School, Boston, MA 02115, USA
| | - Liankun Ren
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Clinical Research Center of Epilepsy, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; National Center for Neurological Disorders, Beijing 100053, China; Chinese Institute for Brain Research, Beijing 102206, China.
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17
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Kamali A, Milosavljevic S, Gandhi A, Lano KR, Shobeiri P, Sherbaf FG, Sair HI, Riascos RF, Hasan KM. The Cortico-Limbo-Thalamo-Cortical Circuits: An Update to the Original Papez Circuit of the Human Limbic System. Brain Topogr 2023; 36:371-389. [PMID: 37148369 PMCID: PMC10164017 DOI: 10.1007/s10548-023-00955-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 03/06/2023] [Indexed: 05/08/2023]
Abstract
The Papez circuit, first proposed by James Papez in 1937, is a circuit believed to control memory and emotions, composed of the cingulate cortex, entorhinal cortex, parahippocampal gyrus, hippocampus, hypothalamus, and thalamus. Pursuant to James Papez, Paul Yakovlev and Paul MacLean incorporated the prefrontal/orbitofrontal cortex, septum, amygdalae, and anterior temporal lobes into the limbic system. Over the past few years, diffusion-weighted tractography techniques revealed additional limbic fiber connectivity, which incorporates multiple circuits to the already known complex limbic network. In the current review, we aimed to comprehensively summarize the anatomy of the limbic system and elaborate on the anatomical connectivity of the limbic circuits based on the published literature as an update to the original Papez circuit.
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Affiliation(s)
- Arash Kamali
- Department of Diagnostic and Interventional Radiology, Neuroradiology Section, University of Texas at Houston, 6431 Fannin St, Houston, TX, 77030, USA.
| | | | - Anusha Gandhi
- Baylor College of Medicine Medical School, Houston, TX, USA
| | - Kinsey R Lano
- McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Parnian Shobeiri
- Faculty of Medicine, Tehran University Medical School, Tehran, Iran
| | - Farzaneh Ghazi Sherbaf
- Department of Radiology and Radiological Science, Division of Neuroradiology, The Russell H. Morgan, Johns Hopkins University, Baltimore, MD, USA
| | - Haris I Sair
- Department of Radiology and Radiological Science, Division of Neuroradiology, The Russell H. Morgan, Johns Hopkins University, Baltimore, MD, USA
| | - Roy F Riascos
- Department of Diagnostic and Interventional Radiology, Neuroradiology Section, University of Texas at Houston, 6431 Fannin St, Houston, TX, 77030, USA
| | - Khader M Hasan
- Department of Diagnostic and Interventional Radiology, Neuroradiology Section, University of Texas at Houston, 6431 Fannin St, Houston, TX, 77030, USA
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18
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Shi ZM, Jing JJ, Xue ZJ, Chen WJ, Tang YB, Chen DJ, Qi XY, Huang L, Zou YQ, Wu XZ, Yang F. Stellate ganglion block ameliorated central post-stroke pain with comorbid anxiety and depression through inhibiting HIF-1α/NLRP3 signaling following thalamic hemorrhagic stroke. J Neuroinflammation 2023; 20:82. [PMID: 36944982 PMCID: PMC10031944 DOI: 10.1186/s12974-023-02765-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 03/12/2023] [Indexed: 03/23/2023] Open
Abstract
BACKGROUND Central post-stroke pain (CPSP) is an intractable and disabling central neuropathic pain that severely affects patients' lives, well-being, and socialization abilities. However, CPSP has been poorly studied mechanistically and its treatment remains challenging. Here, we used a rat model of CPSP induced by thalamic hemorrhage to investigate its underlying mechanisms and the effect of stellate ganglion block (SGB) on CPSP and emotional comorbidities. METHODS Thalamic hemorrhage was produced by injecting collagenase IV into the ventral-posterolateral nucleus (VPL) of the right thalamus. The up-and-down method with von Frey hairs was used to measure the mechanical allodynia. Behavioral tests were carried out to examine depressive and anxiety-like behaviors including the open field test (OFT), elevated plus maze test (EPMT), novelty-suppressed feeding test (NSFT), and forced swim test (FST). The peri-thalamic lesion tissues were collected for immunofluorescence, western blotting, and enzyme-linked immunosorbent assay (ELISA). Genetic knockdown of thalamic hypoxia-inducible factor-1α (HIF-1α) and NOD-like receptor thermal protein domain associated protein 3 (NLRP3) with microinjection of HIF-1α siRNA and NLRP3 siRNA into the VPL of thalamus were performed 3 days before collagenase injection into the same regions. Microinjection of lificiguat (YC-1) and MCC950 into the VPL of thalamus were administrated 30 min before the collagenase injection in order to inhibited HIF-1α and NLRP3 pharmacologically. Repetitive right SGB was performed daily for 5 days and laser speckle contrast imaging (LSCI) was conducted to examine cerebral blood flow. RESULTS Thalamic hemorrhage caused persistent mechanical allodynia and anxiety- and depression-like behaviors. Accompanying the persistent mechanical allodynia, the expression of HIF-1α and NLRP3, as well as the activities of microglia and astrocytes in the peri-thalamic lesion sites, were significantly increased. Genetic knockdown of thalamic HIF-1α and NLRP3 significantly attenuated mechanical allodynia and anxiety- and depression-like behaviors following thalamic hemorrhage. Further studies revealed that intra-thalamic injection of YC-1, or MCC950 significantly suppressed the activation of microglia and astrocytes, the release of pro-inflammatory cytokines, the upregulation of malondialdehyde (MDA), and the downregulation of superoxide dismutase (SOD), as well as mechanical allodynia and anxiety- and depression-like behaviors following thalamic hemorrhage. In addition, repetitive ipsilateral SGB significantly restored the upregulated HIF-1α/NLRP3 signaling and the hyperactivated microglia and astrocytes following thalamic hemorrhage. The enhanced expression of pro-inflammatory cytokines and the oxidative stress in the peri-thalamic lesion sites were also reversed by SGB. Moreover, LSCI showed that repetitive SGB significantly increased cerebral blood flow following thalamic hemorrhage. Most strikingly, SGB not only prevented, but also reversed the development of mechanical allodynia and anxiety- and depression-like behaviors induced by thalamic hemorrhage. However, pharmacological activation of thalamic HIF-1α and NLRP3 with specific agonists significantly eliminated the therapeutic effects of SGB on mechanical allodynia and anxiety- and depression-like behaviors following thalamic hemorrhage. CONCLUSION This study demonstrated for the first time that SGB could improve CPSP with comorbid anxiety and depression by increasing cerebral blood flow and inhibiting HIF-1α/NLRP3 inflammatory signaling.
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Affiliation(s)
- Zhong-Mou Shi
- Department of Anesthesiology and Perioperative Medicine, Fuzong Clinical College (900th Hospital of the Joint Logistic Support Force), Fujian Medical University, Fuzhou, 350025, China
- Department of Anesthesiology and Perioperative Medicine, Dongfang Hospital, Xiamen University, Fuzhou, 350025, China
| | - Jun-Jie Jing
- Department of Neurosurgery, Fujian Children's Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350025, China
| | - Zheng-Jie Xue
- Department of Anesthesiology and Perioperative Medicine, Fuzong Clinical College (900th Hospital of the Joint Logistic Support Force), Fujian Medical University, Fuzhou, 350025, China
- Department of Anesthesiology and Perioperative Medicine, Dongfang Hospital, Xiamen University, Fuzhou, 350025, China
| | - Wen-Jun Chen
- Department of Anesthesiology and Perioperative Medicine, Fuzong Clinical College (900th Hospital of the Joint Logistic Support Force), Fujian Medical University, Fuzhou, 350025, China
- Department of Anesthesiology and Perioperative Medicine, Dongfang Hospital, Xiamen University, Fuzhou, 350025, China
| | - Yan-Bin Tang
- Department of Anesthesiology and Perioperative Medicine, Fuzong Clinical College (900th Hospital of the Joint Logistic Support Force), Fujian Medical University, Fuzhou, 350025, China
- Department of Anesthesiology and Perioperative Medicine, Dongfang Hospital, Xiamen University, Fuzhou, 350025, China
| | - Du-Juan Chen
- Department of Anesthesiology and Perioperative Medicine, Fuzong Clinical College (900th Hospital of the Joint Logistic Support Force), Fujian Medical University, Fuzhou, 350025, China
- Department of Anesthesiology and Perioperative Medicine, Dongfang Hospital, Xiamen University, Fuzhou, 350025, China
| | - Xin-Yi Qi
- Department of Anesthesiology and Perioperative Medicine, Fuzong Clinical College (900th Hospital of the Joint Logistic Support Force), Fujian Medical University, Fuzhou, 350025, China
- Department of Anesthesiology and Perioperative Medicine, Dongfang Hospital, Xiamen University, Fuzhou, 350025, China
| | - Li Huang
- Department of Anesthesiology and Perioperative Medicine, Fuzong Clinical College (900th Hospital of the Joint Logistic Support Force), Fujian Medical University, Fuzhou, 350025, China
- Department of Anesthesiology and Perioperative Medicine, Dongfang Hospital, Xiamen University, Fuzhou, 350025, China
| | - Yi-Qing Zou
- Department of Anesthesiology and Perioperative Medicine, Fuzong Clinical College (900th Hospital of the Joint Logistic Support Force), Fujian Medical University, Fuzhou, 350025, China.
- Department of Anesthesiology and Perioperative Medicine, Dongfang Hospital, Xiamen University, Fuzhou, 350025, China.
| | - Xiao-Zhi Wu
- Department of Anesthesiology and Perioperative Medicine, Fuzong Clinical College (900th Hospital of the Joint Logistic Support Force), Fujian Medical University, Fuzhou, 350025, China.
- Department of Anesthesiology and Perioperative Medicine, Dongfang Hospital, Xiamen University, Fuzhou, 350025, China.
| | - Fei Yang
- Department of Anesthesiology and Perioperative Medicine, Fuzong Clinical College (900th Hospital of the Joint Logistic Support Force), Fujian Medical University, Fuzhou, 350025, China.
- Department of Anesthesiology and Perioperative Medicine, Dongfang Hospital, Xiamen University, Fuzhou, 350025, China.
- Pain Research Institute, Fujian Medical University, Fuzhou, 350025, China.
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19
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Wang J, Ji G, Li G, Hu Y, Zhang W, Ji W, Tan Z, Li H, Jiang F, Zhang Y, Wu F, von Deneen KM, Yu J, Han Y, Cui G, Manza P, Tomasi D, Volkow ND, Nie Y, Zhang Y, Wang GJ. Habenular connectivity predict weight loss and negative emotional-related eating behavior after laparoscopic sleeve gastrectomy. Cereb Cortex 2023; 33:2037-2047. [PMID: 35580853 PMCID: PMC10365841 DOI: 10.1093/cercor/bhac191] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 04/25/2022] [Accepted: 04/27/2022] [Indexed: 11/14/2022] Open
Abstract
Habenular (Hb) processes negative emotions that may drive compulsive food-intake. Its functional changes were reported following laparoscopic-sleeve-gastrectomy (LSG). However, structural connectivity (SC) of Hb-homeostatic/hedonic circuits after LSG remains unclear. We selected regions implicated in homeostatic/hedonic regulation that have anatomical connections with Hb as regions-of-interest (ROIs), and used diffusion-tensor-imaging with probabilistic tractography to calculate SC between Hb and these ROIs in 30 obese participants before LSG (PreLSG) and at 12-month post-LSG (PostLSG12) and 30 normal-weight controls. Three-factor-eating-questionnaire (TFEQ) and Dutch-eating-behavior-questionnaire (DEBQ) were used to assess eating behaviors. LSG significantly decreased weight, negative emotion, and improved self-reported eating behavior. LSG increased SC between the Hb and homeostatic/hedonic regions including hypothalamus (Hy), bilateral superior frontal gyri (SFG), left amygdala (AMY), and orbitofrontal cortex (OFC). TFEQ-hunger negatively correlated with SC of Hb-Hy at PostLSG12; and increased SC of Hb-Hy correlated with reduced depression and DEBQ-external eating. TFEQ-disinhibition negatively correlated with SC of Hb-bilateral SFG at PreLSG. Increased SC of Hb-left AMY correlated with reduced DEBQ-emotional eating. Higher percentage of total weight-loss negatively correlated with SC of Hb-left OFC at PreLSG. Enhanced SC of Hb-homeostatic/hedonic regulatory regions post-LSG may contribute to its beneficial effects in improving eating behaviors including negative emotional eating, and long-term weight-loss.
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Affiliation(s)
- Jia Wang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Gang Ji
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, Shaanxi 710032, China
| | - Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Wenchao Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Weibin Ji
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Zongxin Tan
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Hao Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Fukun Jiang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Yaqi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Feifei Wu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Karen M von Deneen
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Juan Yu
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, Shaanxi 710032, China
| | - Yu Han
- Department of Radiology, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi 710038, China
| | - Guangbin Cui
- Department of Radiology, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi 710038, China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Dardo Tomasi
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Nora D Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Yongzhan Nie
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, Shaanxi 710032, China
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
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20
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Deep brain stimulation of thalamic nuclei for the treatment of drug-resistant epilepsy: Are we confident with the precise surgical target? Seizure 2023; 105:22-28. [PMID: 36657225 DOI: 10.1016/j.seizure.2023.01.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 01/10/2023] [Accepted: 01/12/2023] [Indexed: 01/16/2023] Open
Abstract
Deep brain stimulation (DBS) of the thalamic nuclei for the treatment of drug-resistant epilepsy (DRE) has been investigated for decades. In recent years, DBS targeting the anterior nucleus of the thalamus (ANT) was approved by CE and FDA for the treatment of focal-onset DRE in light of the results from the multicentric randomized controlled SANTE trial. However, stereotactic targeting of thalamic nuclei is not straightforward because of the low contrast definition among thalamic nuclei on the current MRI sequences. When the FGATIR sequence is added to the preoperative MRI protocol, the mammillothalamic tract can be identified and used as a visible landmark to directly target ANT. According to the current evidence, the trans-ventricular trajectory allows the placement of stimulating contact into the nucleus more frequently than the trans-cortical trajectory. Another thalamic nucleus whose stimulation for the treatment of generalized DRE is receiving increasing attention is the centromedian nucleus (CM). CM-DBS seems to be particularly efficacious in patients suffering from Lennox-Gastault syndrome (LGS) and the recent monocentric randomized controlled ESTEL trial also described a beneficial "sweet-spot". However, CM targeting is still based on indirect stereotactic coordinates, since acquisition times and post-processing techniques of the actual MRI sequences are not applicable in clinical practice. Moreover, the results of the ESTEL trial await confirmation from similar studies accounting for epileptic syndromes other than LGS. Therefore, novel neuroimaging approaches are advisable to improve the surgical targeting of CM and potentially tailor the stimulation based on the patient's specific epileptic phenotype.
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21
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Habig K, Krämer HH, Lautenschläger G, Walter B, Best C. Processing of sensory, painful and vestibular stimuli in the thalamus. Brain Struct Funct 2023; 228:433-447. [PMID: 36239796 PMCID: PMC9944400 DOI: 10.1007/s00429-022-02582-y] [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: 05/09/2022] [Accepted: 10/07/2022] [Indexed: 11/30/2022]
Abstract
OBJECTIVES The thalamus plays an important role in the mediation and integration of various stimuli (e.g., somatosensory, pain, and vestibular). Whether a stimulus-specific and topographic organization of the thalamic nuclei exists is still unknown. The aim of our study was to define a functional, in vivo map of multimodal sensory processing within the human thalamus. METHODS Twenty healthy individuals (10 women, 21-34 years old) participated. Defined sensory stimuli were applied to both hands (innocuous touch, mechanical pain, and heat pain) and the vestibular organ (galvanic stimulation) during 3 T functional MRI. RESULTS Bilateral thalamic activations could be detected for touch, mechanical pain, and vestibular stimulation within the left medio-dorsal and right anterior thalamus. Heat pain did not lead to thalamic activation at all. Stimuli applied to the left body side resulted in stronger activation patterns. Comparing an early with a late stimulation interval, the mentioned activation patterns were far more pronounced within the early stimulation interval. CONCLUSIONS The right anterior and ventral-anterior nucleus and the left medio-dorsal nucleus appear to be important for the processing of multimodal sensory information. In addition, galvanic stimulation is processed more laterally compared to mechanical pain. The observed changes in activity within the thalamic nuclei depending on the stimulation interval suggest that the stimuli are processed in a thalamic network rather than a distinct nucleus. In particular, the vestibular network within the thalamus recruits bilateral nuclei, rendering the thalamus an important integrative structure for vestibular function.
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Affiliation(s)
- Kathrin Habig
- Department of Neurology, Justus-Liebig-University, Klinikstrasse 33, 35392, Giessen, Germany.
| | - Heidrun H Krämer
- Department of Neurology, Justus-Liebig-University, Klinikstrasse 33, 35392, Giessen, Germany
| | - Gothje Lautenschläger
- Department of Neurology, Justus-Liebig-University, Klinikstrasse 33, 35392, Giessen, Germany
| | - Bertram Walter
- Bender Institute of Neuroimaging, Justus-Liebig-University, 35394, Giessen, Germany
- Center for Mind, Brain and Behavior, Philipps University Marburg and Justus Liebig University, Giessen, Germany
| | - Christoph Best
- Department of Neurology, Philipps-University Marburg, 35043, Marburg, Germany
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22
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Kumar VJ, Beckmann CF, Scheffler K, Grodd W. Relay and higher-order thalamic nuclei show an intertwined functional association with cortical-networks. Commun Biol 2022; 5:1187. [PMID: 36333448 PMCID: PMC9636420 DOI: 10.1038/s42003-022-04126-w] [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: 02/22/2022] [Accepted: 10/18/2022] [Indexed: 11/06/2022] Open
Abstract
Almost all functional processing in the cortex strongly depends on thalamic interactions. However, in terms of functional interactions with the cerebral cortex, the human thalamus nuclei still partly constitute a terra incognita. Hence, for a deeper understanding of thalamic-cortical cooperation, it is essential to know how the different thalamic nuclei are associated with cortical networks. The present work examines network-specific connectivity and task-related topical mapping of cortical areas with the thalamus. The study finds that the relay and higher-order thalamic nuclei show an intertwined functional association with different cortical networks. In addition, the study indicates that relay-specific thalamic nuclei are not only involved with relay-specific behavior but also in higher-order functions. The study enriches our understanding of interactions between large-scale cortical networks and the thalamus, which may interest a broader audience in neuroscience and clinical research.
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Affiliation(s)
| | - Christian F Beckmann
- Donders Institute for Brain, Cognition, and Behaviour, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, The Netherlands
| | - Klaus Scheffler
- Max Planck Institute for Biological Cybernetics, Tuebingen, Germany
- Department for Biomedical MagneticResonance, University Hospital Tübingen, Tübingen, Germany
| | - Wolfgang Grodd
- Max Planck Institute for Biological Cybernetics, Tuebingen, Germany
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23
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Argaman Y, Granovsky Y, Sprecher E, Sinai A, Yarnitsky D, Weissman-Fogel I. Resting-state functional connectivity predicts motor cortex stimulation-dependent pain relief in fibromyalgia syndrome patients. Sci Rep 2022; 12:17135. [PMID: 36224244 PMCID: PMC9556524 DOI: 10.1038/s41598-022-21557-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 09/28/2022] [Indexed: 01/04/2023] Open
Abstract
MRI-based resting-state functional connectivity (rsFC) has been shown to predict response to pharmacological and non-pharmacological treatments for chronic pain, but not yet for motor cortex transcranial magnetic stimulation (M1-rTMS). Twenty-seven fibromyalgia syndrome (FMS) patients participated in this double-blind, crossover, and sham-controlled study. Ten daily treatments of 10 Hz M1-rTMS were given over 2 weeks. Before treatment series, patients underwent resting-state fMRI and clinical pain evaluation. Significant pain reduction occurred following active, but not sham, M1-rTMS. The following rsFC patterns predicted reductions in clinical pain intensity after the active treatment: weaker rsFC of the default-mode network with the middle frontal gyrus (r = 0.76, p < 0.001), the executive control network with the rostro-medial prefrontal cortex (r = 0.80, p < 0.001), the thalamus with the middle frontal gyrus (r = 0.82, p < 0.001), and the pregenual anterior cingulate cortex with the inferior parietal lobule (r = 0.79, p < 0.001); and stronger rsFC of the anterior insula with the angular gyrus (r = - 0.81, p < 0.001). The above regions process the attentional and emotional aspects of pain intensity; serve as components of the resting-state networks; are modulated by rTMS; and are altered in FMS. Therefore, we suggest that in FMS, the weaker pre-existing interplay between pain-related brain regions and networks, the larger the pain relief resulting from M1-rTMS.
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Affiliation(s)
- Yuval Argaman
- grid.6451.60000000121102151Clinical Neurophysiology Lab, Bruce Rappaport Faculty of Medicine, Technion – Israel Institute of Technology, Haifa, Israel
| | - Yelena Granovsky
- grid.6451.60000000121102151Clinical Neurophysiology Lab, Bruce Rappaport Faculty of Medicine, Technion – Israel Institute of Technology, Haifa, Israel ,grid.413731.30000 0000 9950 8111Department of Neurology, Rambam Health Care Campus, Haifa, Israel
| | - Elliot Sprecher
- grid.413731.30000 0000 9950 8111Department of Neurology, Rambam Health Care Campus, Haifa, Israel
| | - Alon Sinai
- grid.413731.30000 0000 9950 8111Department of Neurosurgery, Rambam Health Care Campus, Haifa, Israel
| | - David Yarnitsky
- grid.6451.60000000121102151Clinical Neurophysiology Lab, Bruce Rappaport Faculty of Medicine, Technion – Israel Institute of Technology, Haifa, Israel ,grid.413731.30000 0000 9950 8111Department of Neurology, Rambam Health Care Campus, Haifa, Israel
| | - Irit Weissman-Fogel
- grid.18098.380000 0004 1937 0562Department of Physical Therapy, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel
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24
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Frank D, Garo-Pascual M, Velasquez PAR, Frades B, Peled N, Zhang L, Strange BA. Brain structure and episodic learning rate in cognitively healthy ageing. Neuroimage 2022; 263:119630. [PMID: 36113738 DOI: 10.1016/j.neuroimage.2022.119630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 09/08/2022] [Accepted: 09/12/2022] [Indexed: 10/31/2022] Open
Abstract
Memory normally declines with ageing and these age-related cognitive changes are associated with changes in brain structure. Episodic memory retrieval has been widely studied during ageing, whereas learning has received less attention. Here we examined the neural correlates of episodic learning rate in ageing. Our study sample consisted of 982 cognitively healthy female and male older participants from the Vallecas Project cohort, without a clinical diagnosis of mild cognitive impairment or dementia. The learning rate across the three consecutive recall trials of the verbal memory task (Free and Cued Selective Reminding Test) recall trials was used as a predictor of grey matter (GM) using voxel-based morphometry, and WM microstructure using tract-based spatial statistics on fractional anisotropy (FA) and mean diffusivity (MD) measures. Immediate Recall improved by 1.4 items per trial on average, and this episodic learning rate was faster in women and negatively associated with age. Structurally, hippocampal and anterior thalamic GM volume correlated positively with learning rate. Learning also correlated with the integrity of WM microstructure (high FA and low MD) in an extensive network of tracts including bilateral anterior thalamic radiation, fornix, and long-range tracts. These results suggest that episodic learning rate is associated with key anatomical structures for memory functioning, motivating further exploration of the differential diagnostic properties between episodic learning rate and retrieval in ageing.
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Affiliation(s)
- Darya Frank
- Laboratory for Clinical Neuroscience, Centro de Tecnología Biomédica, CTB, Universidad Politécnica de Madrid, Madrid 28223, Spain.
| | - Marta Garo-Pascual
- Laboratory for Clinical Neuroscience, Centro de Tecnología Biomédica, CTB, Universidad Politécnica de Madrid, Madrid 28223, Spain; Alzheimer's Disease Research Unit, CIEN Foundation, Queen Sofia Foundation Alzheimer Center, Madrid 28031, Spain; PhD Program in Neuroscience, Autonoma de Madrid University, Madrid 28049, Spain.
| | - Pablo Alejandro Reyes Velasquez
- Laboratory for Clinical Neuroscience, Centro de Tecnología Biomédica, CTB, Universidad Politécnica de Madrid, Madrid 28223, Spain
| | - Belén Frades
- Alzheimer's Disease Research Unit, CIEN Foundation, Queen Sofia Foundation Alzheimer Center, Madrid 28031, Spain
| | - Noam Peled
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Linda Zhang
- Alzheimer's Disease Research Unit, CIEN Foundation, Queen Sofia Foundation Alzheimer Center, Madrid 28031, Spain
| | - Bryan A Strange
- Laboratory for Clinical Neuroscience, Centro de Tecnología Biomédica, CTB, Universidad Politécnica de Madrid, Madrid 28223, Spain; Alzheimer's Disease Research Unit, CIEN Foundation, Queen Sofia Foundation Alzheimer Center, Madrid 28031, Spain.
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25
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The human thalamus orchestrates neocortical oscillations during NREM sleep. Nat Commun 2022; 13:5231. [PMID: 36064855 PMCID: PMC9445182 DOI: 10.1038/s41467-022-32840-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 08/18/2022] [Indexed: 01/14/2023] Open
Abstract
A hallmark of non-rapid eye movement sleep is the coordinated interplay of slow oscillations (SOs) and sleep spindles. Traditionally, a cortico-thalamo-cortical loop is suggested to coordinate these rhythms: neocortically-generated SOs trigger spindles in the thalamus that are projected back to neocortex. Here, we used intrathalamic recordings from human epilepsy patients to test this canonical interplay. We show that SOs in the anterior thalamus precede neocortical SOs (peak −50 ms), whereas concurrently-recorded SOs in the mediodorsal thalamus are led by neocortical SOs (peak +50 ms). Sleep spindles, detected in both thalamic nuclei, preceded their neocortical counterparts (peak −100 ms) and were initiated during early phases of thalamic SOs. Our findings indicate an active role of the anterior thalamus in organizing sleep rhythms in the neocortex and highlight the functional diversity of thalamic nuclei in humans. The thalamic coordination of sleep oscillations could have broad implications for the mechanisms underlying memory consolidation. Slow oscillations, which are instrumental to memory consolidation, have been assumed to be solely generated in neocortex. Here, the authors show that the anterior thalamus might play a fundamental role in organizing slow oscillations in human sleep.
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Structural connectivity of the ANT region based on human ex-vivo and HCP data. Relevance for DBS in ANT for epilepsy. Neuroimage 2022; 262:119551. [DOI: 10.1016/j.neuroimage.2022.119551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 05/19/2022] [Accepted: 08/06/2022] [Indexed: 11/16/2022] Open
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Li S, Hao J. Are Adolescents With Higher Self-Esteem More Prosocial? Exploring the Moderating Effect of Self-Compassion in Different Genders. J Genet Psychol 2022; 183:364-380. [PMID: 35763492 DOI: 10.1080/00221325.2022.2083937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Previous studies have revealed a positive relationship between self-esteem and prosocial behavior. Based on social mentality theory, the authors propose that self-compassion as a self-soothing system moderates the relationship in adolescents girls and not in adolescent boys. A total of 540 adolescents from 12 to 14 years old completed the Rosenberg Self-Esteem Scale, Self-Compassion Scale, and Prosocial Tendencies Measure. The results showed that both self-esteem and self-compassion were positively correlated with prosocial behavior, self-compassion moderated the relationship between self-esteem and altruistic or anonymous prosocial behavior, and self-compassion moderated the relationship between self-esteem and dire prosocial behavior and the moderating effect was moderated by gender. In conclusion, the present study indicates that self-esteem and self-compassion, as two important aspects of the self, are beneficial to prosocial behavior in adolescence. Self-compassion strengthens the relationship between self-esteem and specific prosocial behavior, especially for adolescent girls.
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Affiliation(s)
- Shiqing Li
- Beijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, China
| | - Jian Hao
- Beijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, China
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Hitti FL, Parker D, Yang AI, Brem S, Verma R. Laterality and Sex Differences of Human Lateral Habenula Afferent and Efferent Fiber Tracts. Front Neurosci 2022; 16:837624. [PMID: 35784832 PMCID: PMC9243380 DOI: 10.3389/fnins.2022.837624] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 05/27/2022] [Indexed: 11/26/2022] Open
Abstract
Introduction The lateral habenula (LHb) is an epithalamic nucleus associated with negative valence and affective disorders. It receives input via the stria medullaris (SM) and sends output via the fasciculus retroflexus (FR). Here, we use tractography to reconstruct and characterize this pathway. Methods Multi-shell human diffusion magnetic resonance imaging (dMRI) data was obtained from the human connectome project (HCP) (n = 20, 10 males) and from healthy controls (n = 10, 6 males) scanned at our institution. We generated LHb afferents and efferents using probabilistic tractography by selecting the pallidum as the seed region and the ventral tegmental area as the output target. Results We were able to reconstruct the intended streamlines in all individuals from the HCP dataset and our dataset. Our technique also aided in identification of the LHb. In right-handed individuals, the streamlines were significantly more numerous in the left hemisphere (mean ratio 1.59 ± 0.09, p = 0.04). In left-handed individuals, there was no hemispheric asymmetry on average (mean ratio 1.00 ± 0.09, p = 1.0). Additionally, these streamlines were significantly more numerous in females than in males (619.9 ± 159.7 vs. 225.9 ± 66.03, p = 0.04). Conclusion We developed a method to reconstruct the SM and FR without manual identification of the LHb. This technique enables targeting of these fiber tracts as well as the LHb. Furthermore, we have demonstrated that there are sex and hemispheric differences in streamline number. These findings may have therapeutic implications and warrant further investigation.
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Affiliation(s)
- Frederick L. Hitti
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA, United States
- *Correspondence: Frederick L. Hitti,
| | - Drew Parker
- Diffusion and Connectomics in Precision Healthcare Research Lab, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
| | - Andrew I. Yang
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA, United States
| | - Steven Brem
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA, United States
| | - Ragini Verma
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA, United States
- Diffusion and Connectomics in Precision Healthcare Research Lab, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
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Manzler CA, Radoman M, Khorrami KJ, Gorka SM. Association between startle reactivity to uncertain threats and structural brain volume. Psychophysiology 2022; 59:e14074. [PMID: 35579909 PMCID: PMC10080733 DOI: 10.1111/psyp.14074] [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: 08/20/2021] [Revised: 01/03/2022] [Accepted: 01/10/2022] [Indexed: 11/29/2022]
Abstract
Sensitivity to uncertain threat (U-threat) is a clinically important individual difference factor in multiple psychopathologies. Recent studies have implicated a specific frontolimbic circuit as a key network involved in the anticipation of aversive stimuli. In particular, the insula, thalamus, and dorsal anterior cingulate cortex (dACC) have recently been found to be robustly activated by anticipation of U-threat. However, no study to date has examined the association between U-threat reactivity and structural brain volume. In the present study, we utilized a pooled sample of 186 young adult volunteers who completed a structural MRI scan and the well-validated No-Predictable-Unpredictable (NPU) threat of electric shock task. Startle eyeblink potentiation was collected during the NPU task as an objective index of aversive reactivity. ROI-based analyses revealed that increased startle reactivity to U-threat was associated with reduced gray matter volume in the right insula and bilateral thalamus, but not the dACC. These results add to a growing literature implicating the insula and thalamus as core nodes involved in individual differences in U-threat reactivity.
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Affiliation(s)
- Charles A Manzler
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Milena Radoman
- Department of Psychiatry, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Kia J Khorrami
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Stephanie M Gorka
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.,Institute for Behavioral Medicine Research, The Ohio State University, Columbus, Ohio, USA
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30
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McKenna MC, Li Hi Shing S, Murad A, Lope J, Hardiman O, Hutchinson S, Bede P. Focal thalamus pathology in frontotemporal dementia: Phenotype-associated thalamic profiles. J Neurol Sci 2022; 436:120221. [DOI: 10.1016/j.jns.2022.120221] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 02/21/2022] [Accepted: 03/03/2022] [Indexed: 11/25/2022]
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The anterior thalamic nuclei: core components of a tripartite episodic memory system. Nat Rev Neurosci 2022; 23:505-516. [PMID: 35478245 DOI: 10.1038/s41583-022-00591-8] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/25/2022] [Indexed: 12/13/2022]
Abstract
Standard models of episodic memory focus on hippocampal-parahippocampal interactions, with the neocortex supplying sensory information and providing a final repository of mnemonic representations. However, recent advances have shown that other regions make distinct and equally critical contributions to memory. In particular, there is growing evidence that the anterior thalamic nuclei have a number of key cognitive functions that support episodic memory. In this article, we describe these findings and argue for a core, tripartite memory system, comprising a 'temporal lobe' stream (centred on the hippocampus) and a 'medial diencephalic' stream (centred on the anterior thalamic nuclei) that together act on shared cortical areas. We demonstrate how these distributed brain regions form complementary and necessary partnerships in episodic memory formation.
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Ware AL, Yeates KO, Tang K, Shukla A, Onicas AI, Guo S, Goodrich-Hunsaker N, Abdeen N, Beauchamp MH, Beaulieu C, Bjornson B, Craig W, Dehaes M, Doan Q, Deschenes S, Freedman SB, Goodyear BG, Gravel J, Ledoux AA, Zemek R, Lebel C. Longitudinal white matter microstructural changes in pediatric mild traumatic brain injury: An A-CAP study. Hum Brain Mapp 2022; 43:3809-3823. [PMID: 35467058 PMCID: PMC9294335 DOI: 10.1002/hbm.25885] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 04/04/2022] [Accepted: 04/06/2022] [Indexed: 01/07/2023] Open
Abstract
In the largest sample studied to date, white matter microstructural trajectories and their relation to persistent symptoms were examined after pediatric mild traumatic brain injury (mTBI). This prospective, longitudinal cohort study recruited children aged 8–16.99 years with mTBI or mild orthopedic injury (OI) from five pediatric emergency departments. Children's pre‐injury and 1‐month post‐injury symptom ratings were used to classify mTBI with or without persistent symptoms. Children completed diffusion‐weighted imaging at post‐acute (2–33 days post‐injury) and chronic (3 or 6 months via random assignment) post‐injury assessments. Mean diffusivity (MD) and fractional anisotropy (FA) were derived for 18 white matter tracts in 560 children (362 mTBI/198 OI), 407 with longitudinal data. Superior longitudinal fasciculus FA was higher in mTBI without persistent symptoms relative to OI, d (95% confidence interval) = 0.31 to 0.37 (0.02, 0.68), across time. In younger children, MD of the anterior thalamic radiations was higher in mTBI with persistent symptoms relative to both mTBI without persistent symptoms, 1.43 (0.59, 2.27), and OI, 1.94 (1.07, 2.81). MD of the arcuate fasciculus, −0.58 (−1.04, −0.11), and superior longitudinal fasciculus, −0.49 (−0.90, −0.09) was lower in mTBI without persistent symptoms relative to OI at 6 months post‐injury. White matter microstructural changes suggesting neuroinflammation and axonal swelling occurred chronically and continued 6 months post injury in children with mTBI, especially in younger children with persistent symptoms, relative to OI. White matter microstructure appears more organized in children without persistent symptoms, consistent with their better clinical outcomes.
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Affiliation(s)
- Ashley L Ware
- Department of Psychology, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Department of Neurology, University of Utah, Salt Lake City, Utah, USA
| | - Keith Owen Yeates
- Department of Psychology, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Ken Tang
- Independent Statistical Consulting, Richmond, British Columbia, Canada
| | - Ayushi Shukla
- Department of Radiology, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Adrian I Onicas
- Department of Psychology, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Sunny Guo
- Department of Psychology, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | | | - Nishard Abdeen
- Department of Radiology, University of Ottawa, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Miriam H Beauchamp
- Department of Psychology, University of Montreal & CHU Sainte-Justine Hospital Research Center, Montréal, Québec, Canada
| | - Christian Beaulieu
- Department of Biomedical Engineering, University of Alberta, Edmonton, Alberta, Canada
| | - Bruce Bjornson
- Division of Neurology, Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada; 2. BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada
| | - William Craig
- University of Alberta and Stollery Children's Hospital, Edmonton, Alberta, Canada
| | - Mathieu Dehaes
- Department of Radiology, Radio-oncology and Nuclear Medicine, Institute of Biomedical Engineering, University of Montreal; CHU Sainte-Justine Research Center, Montréal, Québec, Canada
| | - Quynh Doan
- Department of Emergency Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Sylvain Deschenes
- CHU Sainte-Justine Research Center; Department of Radiology, Radio-oncology and Nuclear Medicine, University of Montreal, Montréal, Québec, Canada
| | - Stephen B Freedman
- Department of Emergency Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Bradley G Goodyear
- Department of Radiology, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Jocelyn Gravel
- Department of Pediatric Emergency Medicine, Department of Pediatrics, CHU Sainte-Justine, University of Montréal, Montréal, Québec, Canada
| | - Andrée-Anne Ledoux
- Department of Cellular and Molecular Medicine, University of Ottawa, & Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Roger Zemek
- Department of Pediatrics and Emergency Medicine, University of Ottawa, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Catherine Lebel
- Department of Radiology, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
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Whole-brain white matter correlates of personality profiles predictive of subjective well-being. Sci Rep 2022; 12:4558. [PMID: 35296777 PMCID: PMC8927329 DOI: 10.1038/s41598-022-08686-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 02/22/2022] [Indexed: 11/08/2022] Open
Abstract
We investigated the white matter correlates of personality profiles predictive of subjective well-being. Using principal component analysis to first determine the possible personality profiles onto which core personality measures would load, we subsequently searched for whole-brain white matter correlations with these profiles. We found three personality profiles that correlated with the integrity of white matter tracts. The correlates of an “optimistic” personality profile suggest (a) an intricate network for self-referential processing that helps regulate negative affect and maintain a positive outlook on life, (b) a sustained capacity for visually tracking rewards in the environment and (c) a motor readiness to act upon the conviction that desired rewards are imminent. The correlates of a “short-term approach behavior” profile was indicative of minimal loss of integrity in white matter tracts supportive of lifting certain behavioral barriers, possibly allowing individuals to act more outgoing and carefree in approaching people and rewards. Lastly, a “long-term approach behavior” profile’s association with white matter tracts suggests lowered sensitivity to transient updates of stimulus-based associations of rewards and setbacks, thus facilitating the successful long-term pursuit of goals. Together, our findings yield convincing evidence that subjective well-being has its manifestations in the brain.
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Tolulope A, Ogundele OM. Anterior thalamic glutamatergic neurons modulate prefrontal cortical firing and regularity. Neurosci Lett 2022; 776:136565. [PMID: 35278647 DOI: 10.1016/j.neulet.2022.136565] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 02/07/2022] [Accepted: 03/03/2022] [Indexed: 01/05/2023]
Abstract
For several decades, studies on learning and memory focused extensively on the neural circuitry between the hippocampus and the prefrontal cortex, with minimal attention to the role of the anterior thalamic nucleus (ATN). The diencephalic nucleus is rich in excitatory glutamate neurons that project to both the hippocampus and medial prefrontal cortex (mPFC). Neural projections from the hippocampus and mPFC have also been identified in the ATN through reciprocal circuits. Although ATN lesioning leads to memory loss (amnesia), the role of the ATN in the propagation of cognitive processes in the mPFC is still poorly understood. In the current study, we employed adeno-associated viral labeling and in vivo electrophysiology to trace ATN glutamate neural projections in the layers of the mPFC. Neuroanatomical mapping of ATN Vglut2+ projections revealed a topographic gradient in the infralimbic cortex (IL), prelimbic cortex (PrL), and cingulate cortex (Cg1). Specifically, the IL has the least ATN Vglut2+ terminals while the PrL (layer III) and Cg1 (layers III, Va/b, VI) have robust innervation. Functional tracing of the thalamocortical projection was performed by combining extracellular Cg1 and ATN recording with ATN Vglut2+ neuron photostimulation. Our results show that light-activated ATN Vglut2+ neurons drive Cg1 neural activity and increase the firing rate of putative pyramidal neurons in anesthetized mice. In addition, light-activated Cg1 putative neurons were characterized by a significant increase in firing regularity when compared with baseline response. Together, our results show that ATN Vglut2+ neurons modulate the firing rate and firing regularity of the putative Cg1 putative pyramidal cells, thus, creating a premise for direct influence on cognitive processes in cortical networks.
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Affiliation(s)
- Adeyelu Tolulope
- Department of Comparative Biomedical Sciences, Louisiana State University School of Veterinary Medicine. Baton Rouge, LA70803, Louisiana, USA
| | - Olalekan M Ogundele
- Department of Comparative Biomedical Sciences, Louisiana State University School of Veterinary Medicine. Baton Rouge, LA70803, Louisiana, USA.
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35
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Walsh MJM, Pagni B, Monahan L, Delaney S, Smith CJ, Baxter L, Braden BB. Sex-related brain connectivity correlates of compensation in adults with autism: insights into female protection. Cereb Cortex 2022; 33:316-329. [PMID: 35212373 PMCID: PMC9837609 DOI: 10.1093/cercor/bhac069] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 01/31/2022] [Accepted: 02/01/2022] [Indexed: 01/19/2023] Open
Abstract
The male preponderance in autism spectrum disorder (ASD) led to the hypothesis that aspects of female biology are protective against ASD. Females with ASD (ASD-F) report more compensatory behaviors (i.e. "camouflaging") to overcome ASD-related social differences, which may be a mechanism of protection. No studies have examined sex-related brain pathways supporting camouflaging in ASD-F, despite its potential to inform mechanisms underlying the ASD sex bias. We used functional connectivity (FC) to investigate "sex-atypical" and "sex-typical" FC patterns linked to camouflaging in adults with ASD and examined multimodal coherence of findings via structural connectometry. Exploratory associations with cognitive/emotional functioning examined the adaptive nature of FC patterns. We found (i) "sex-atypical" FC patterns linked to camouflaging in the hypothalamus and precuneus and (ii) "sex-typical" patterns in the right anterior cingulate and anterior parahippocampus. Higher hypothalamic FC with a limbic reward cluster also correlated with better cognitive control/emotion recognition. Structural connectometry validated FC results with consistent brain pathways/effect patterns implicated in ASD-F. In summary, "male-typical" and "female-typical" brain connectivity patterns support camouflaging in ASD-F in circuits implicated in reward, emotion, and memory retrieval. "Sex-atypical" results are consistent with fetal steroidogenic/neuroinflammatory hypotheses. However, female genetics/biology may contribute to "female-typical" patterns implicated in camouflaging.
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Affiliation(s)
- Melissa J M Walsh
- College of Health Solutions, Arizona State University, Tempe, AZ 85281, USA
| | - Broc Pagni
- College of Health Solutions, Arizona State University, Tempe, AZ 85281, USA
| | - Leanna Monahan
- College of Health Solutions, Arizona State University, Tempe, AZ 85281, USA
| | - Shanna Delaney
- College of Health Solutions, Arizona State University, Tempe, AZ 85281, USA
| | | | | | - B Blair Braden
- Corresponding authors: Brittany Blair Braden, College of Health Solutions, Arizona State University, 975 S. Myrtle Ave., Tempe, AZ 85281, USA.
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Weeland CJ, Kasprzak S, de Joode NT, Abe Y, Alonso P, Ameis SH, Anticevic A, Arnold PD, Balachander S, Banaj N, Bargallo N, Batistuzzo MC, Benedetti F, Beucke JC, Bollettini I, Brecke V, Brem S, Cappi C, Cheng Y, Cho KIK, Costa DLC, Dallaspezia S, Denys D, Eng GK, Ferreira S, Feusner JD, Fontaine M, Fouche JP, Grazioplene RG, Gruner P, He M, Hirano Y, Hoexter MQ, Huyser C, Hu H, Jaspers-Fayer F, Kathmann N, Kaufmann C, Kim M, Koch K, Bin Kwak Y, Kwon JS, Lazaro L, Li CSR, Lochner C, Marsh R, Martínez-Zalacaín I, Mataix-Cols D, Menchón JM, Minnuzi L, Moreira PS, Morgado P, Nakagawa A, Nakamae T, Narayanaswamy JC, Nurmi EL, Ortiz AE, Pariente JC, Piacentini J, Picó-Pérez M, Piras F, Piras F, Pittenger C, Reddy YCJ, Rodriguez-Manrique D, Sakai Y, Shimizu E, Shivakumar V, Simpson HB, Soreni N, Soriano-Mas C, Sousa N, Spalletta G, Stern ER, Stevens MC, Stewart SE, Szeszko PR, Takahashi J, Tanamatis T, Tang J, Thorsen AL, Tolin D, van der Werf YD, van Marle H, van Wingen GA, Vecchio D, Venkatasubramanian G, Walitza S, Wang J, Wang Z, Watanabe A, Wolters LH, Xu X, Yun JY, Zhao Q, White T, Thompson PM, Stein DJ, van den Heuvel OA, Vriend C. The thalamus and its subnuclei-a gateway to obsessive-compulsive disorder. Transl Psychiatry 2022; 12:70. [PMID: 35190533 PMCID: PMC8861046 DOI: 10.1038/s41398-022-01823-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 01/06/2022] [Accepted: 01/20/2022] [Indexed: 01/01/2023] Open
Abstract
Larger thalamic volume has been found in children with obsessive-compulsive disorder (OCD) and children with clinical-level symptoms within the general population. Particular thalamic subregions may drive these differences. The ENIGMA-OCD working group conducted mega- and meta-analyses to study thalamic subregional volume in OCD across the lifespan. Structural T1-weighted brain magnetic resonance imaging (MRI) scans from 2649 OCD patients and 2774 healthy controls across 29 sites (50 datasets) were processed using the FreeSurfer built-in ThalamicNuclei pipeline to extract five thalamic subregions. Volume measures were harmonized for site effects using ComBat before running separate multiple linear regression models for children, adolescents, and adults to estimate volumetric group differences. All analyses were pre-registered ( https://osf.io/73dvy ) and adjusted for age, sex and intracranial volume. Unmedicated pediatric OCD patients (<12 years) had larger lateral (d = 0.46), pulvinar (d = 0.33), ventral (d = 0.35) and whole thalamus (d = 0.40) volumes at unadjusted p-values <0.05. Adolescent patients showed no volumetric differences. Adult OCD patients compared with controls had smaller volumes across all subregions (anterior, lateral, pulvinar, medial, and ventral) and smaller whole thalamic volume (d = -0.15 to -0.07) after multiple comparisons correction, mostly driven by medicated patients and associated with symptom severity. The anterior thalamus was also significantly smaller in patients after adjusting for thalamus size. Our results suggest that OCD-related thalamic volume differences are global and not driven by particular subregions and that the direction of effects are driven by both age and medication status.
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Affiliation(s)
- Cees J. Weeland
- grid.12380.380000 0004 1754 9227Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Department of Anatomy & Neurosciences, Amsterdam, The Netherlands
| | - Selina Kasprzak
- grid.12380.380000 0004 1754 9227Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Department of Anatomy & Neurosciences, Amsterdam, The Netherlands
| | - Niels T. de Joode
- grid.12380.380000 0004 1754 9227Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Department of Anatomy & Neurosciences, Amsterdam, The Netherlands
| | - Yoshinari Abe
- grid.272458.e0000 0001 0667 4960Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Pino Alonso
- grid.411129.e0000 0000 8836 0780Bellvitge Biomedical Research Insitute-IDIBELL, Bellvitge University Hospital, Barcelona, Spain ,grid.469673.90000 0004 5901 7501CIBERSAM, Barcelona, Spain ,grid.5841.80000 0004 1937 0247Department of Clinical Sciences, University of Barcelona, Barcelona, Spain
| | - Stephanie H. Ameis
- grid.155956.b0000 0000 8793 5925Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada ,grid.17063.330000 0001 2157 2938Department of Psychiatry, University of Toronto, Toronto, Ontario Canada ,grid.42327.300000 0004 0473 9646Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON Canada
| | - Alan Anticevic
- grid.47100.320000000419368710Departments of Psychiatry and Neuroscience, Yale University, New Haven, CT USA
| | - Paul D. Arnold
- grid.22072.350000 0004 1936 7697The Mathison Centre for Mental Health Research & Education, Departments of Psychiatry and Medical Genetics, Calgary, Canada ,grid.22072.350000 0004 1936 7697Cumming School of Medicine, University of Calgary, Calgary, AB Canada
| | - Srinivas Balachander
- grid.416861.c0000 0001 1516 2246OCD clinic, Department of Psychiatry, National Institute of Mental Health And Neurosciences (NIMHANS), Bangalore, India
| | - Nerisa Banaj
- grid.417778.a0000 0001 0692 3437Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Nuria Bargallo
- grid.10403.360000000091771775Magnetic Resonance Image Core Facility, Institut d’Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Barcelona, Spain ,grid.410458.c0000 0000 9635 9413Image Diagnostic Center, Hospital Clinic, Barcelona, Spain
| | - Marcelo C. Batistuzzo
- grid.11899.380000 0004 1937 0722Departamento de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP Brazil ,grid.11899.380000 0004 1937 0722Department of Methods and Techniques in Psychology, Pontificial Catholic University of Sao Paulo, Sao Paulo, SP Brazil
| | - Francesco Benedetti
- grid.15496.3f0000 0001 0439 0892Vita-Salute San Raffaele University, Milano, Italy ,grid.18887.3e0000000417581884Psychiatry & Clinical Psychobiology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milano, Italy
| | - Jan C. Beucke
- grid.7468.d0000 0001 2248 7639Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany ,grid.4714.60000 0004 1937 0626Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet, Stockholm, Sweden ,grid.461732.5Department of Medical Psychology, Medical School Hamburg, Hamburg, Germany ,grid.461732.5Institute for Systems Medicine and Faculty of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
| | - Irene Bollettini
- grid.18887.3e0000000417581884Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Vilde Brecke
- grid.412008.f0000 0000 9753 1393Bergen Center for Brain Plasticity, Haukeland University Hospital, Bergen, Norway
| | - Silvia Brem
- grid.7400.30000 0004 1937 0650Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland ,grid.7400.30000 0004 1937 0650Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Carolina Cappi
- grid.59734.3c0000 0001 0670 2351Icahn School of Medicine at Mount Sinai Department of Psychiatry, New York, NY USA
| | - Yuqi Cheng
- grid.414902.a0000 0004 1771 3912Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Kang Ik K. Cho
- grid.38142.3c000000041936754XPsychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA ,grid.31501.360000 0004 0470 5905Department of Brain and Cognitive Sciences, Seoul National University College of Natural Science, Seoul, Republic of Korea
| | - Daniel L. C. Costa
- grid.11899.380000 0004 1937 0722Obsessive-Compulsive Spectrum Disorders Program, Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (USP), São Paulo, SP Brazil
| | - Sara Dallaspezia
- grid.18887.3e0000000417581884IRCCS Ospedale San Raffaele, Milano Italy Psychiatry, Milano, Italy
| | - Damiaan Denys
- grid.484519.5Amsterdam UMC, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Goi Khia Eng
- grid.137628.90000 0004 1936 8753Department of Psychiatry, New York University School of Medicine, New York, NY USA ,grid.250263.00000 0001 2189 4777Clinical Research, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY USA
| | - Sónia Ferreira
- grid.10328.380000 0001 2159 175XLife and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal ,grid.10328.380000 0001 2159 175XICVS/3B’s, PT Government Associate Laboratory, Braga/Guimarães, Portugal ,grid.512329.eClinical Academic Center - Braga, Braga, Portugal
| | - Jamie D. Feusner
- grid.17063.330000 0001 2157 2938Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, Canada ,grid.19006.3e0000 0000 9632 6718Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA USA
| | - Martine Fontaine
- grid.21729.3f0000000419368729Columbia University Medical College, Columbia University, New York, NY USA
| | - Jean-Paul Fouche
- grid.7836.a0000 0004 1937 1151Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Rachael G. Grazioplene
- grid.47100.320000000419368710Department of Psychiatry, Yale University, New Haven, CT USA
| | - Patricia Gruner
- grid.47100.320000000419368710Department of Psychiatry, Yale University, New Haven, CT USA
| | - Mengxin He
- grid.414902.a0000 0004 1771 3912Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yoshiyuki Hirano
- grid.136304.30000 0004 0370 1101Research Center for Child Mental Development, Chiba University, Chiba, Japan ,United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Suita, Japan
| | - Marcelo Q. Hoexter
- grid.11899.380000 0004 1937 0722Departamento de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP Brazil
| | - Chaim Huyser
- Levvel, Academic Center for Child and Adolescent Psychiatry, Amsterdam, the Netherlands ,grid.509540.d0000 0004 6880 3010Amsterdam UMC, Department of Child and Adolescent Psychiatry, Amsterdam, the Netherlands
| | - Hao Hu
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fern Jaspers-Fayer
- grid.17091.3e0000 0001 2288 9830Department of Psychiatry, University of British Columbia, Vancouver, Canada ,grid.414137.40000 0001 0684 7788British Columbia Children’s Hospital Research Institute, Vancouver, Canada
| | - Norbert Kathmann
- grid.7468.d0000 0001 2248 7639Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Christian Kaufmann
- grid.7468.d0000 0001 2248 7639Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Minah Kim
- grid.412484.f0000 0001 0302 820XSeoul National University Hospital, Department of Neuropsychiatry, Seoul, Republic of Korea ,grid.31501.360000 0004 0470 5905Seoul National University College of Medicine, Department of Psychiatry, Seoul, Republic of Korea
| | - Kathrin Koch
- grid.6936.a0000000123222966Department of Neuroradiology, Klinikum rechts der Isar, Technische Universität, München, Germany ,grid.6936.a0000000123222966TUM-Neuroimaging Center (TUM-NIC) of Klinikum rechts der Isar, Technische Universität München, München, Germany
| | - Yoo Bin Kwak
- grid.31501.360000 0004 0470 5905Department of Brain and Cognitive Sciences, Seoul National University College of Natural Science, Seoul, Republic of Korea
| | - Jun Soo Kwon
- grid.31501.360000 0004 0470 5905Department of Brain and Cognitive Sciences, Seoul National University College of Natural Science, Seoul, Republic of Korea ,grid.31501.360000 0004 0470 5905Seoul National University College of Medicine, Department of Psychiatry, Seoul, Republic of Korea ,grid.412484.f0000 0001 0302 820XDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea ,grid.31501.360000 0004 0470 5905Institute of Human Behavioral Medicine, SNU-MRC, Seoul, Republic of Korea
| | - Luisa Lazaro
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic, IDIBAPS, Barcelona, Spain ,grid.5841.80000 0004 1937 0247Department of Medicine, University of Barcelona, Barcelona, Spain
| | | | - Christine Lochner
- grid.11956.3a0000 0001 2214 904XStellenbosch University, SAMRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch, South Africa
| | - Rachel Marsh
- grid.21729.3f0000000419368729Columbia University Medical College, Columbia University, New York, NY USA
| | - Ignacio Martínez-Zalacaín
- grid.411129.e0000 0000 8836 0780Bellvitge Biomedical Research Insitute-IDIBELL, Bellvitge University Hospital, Barcelona, Spain ,grid.5841.80000 0004 1937 0247Department of Clinical Sciences, University of Barcelona, Barcelona, Spain
| | - David Mataix-Cols
- grid.4714.60000 0004 1937 0626Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet, Stockholm, Sweden ,grid.467087.a0000 0004 0442 1056Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Jose M. Menchón
- grid.411129.e0000 0000 8836 0780Bellvitge Biomedical Research Insitute-IDIBELL, Bellvitge University Hospital, Barcelona, Spain ,grid.469673.90000 0004 5901 7501CIBERSAM, Barcelona, Spain ,grid.5841.80000 0004 1937 0247Department of Clinical Sciences, University of Barcelona, Barcelona, Spain
| | - Luciano Minnuzi
- grid.25073.330000 0004 1936 8227Department of Psychiatry and Behavioral Neurosciences, McMaster University, Hamilton, Ontario Canada ,Offord Centre for Child Studies, Hamilton, Ontario Canada
| | - Pedro Silva Moreira
- grid.10328.380000 0001 2159 175XLife and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal ,grid.10328.380000 0001 2159 175XICVS/3B’s, PT Government Associate Laboratory, Braga/Guimarães, Portugal ,grid.10328.380000 0001 2159 175XPsychological Neuroscience Lab, CIPsi, School of Psychology, University of Minho, Braga, Portugal
| | - Pedro Morgado
- grid.10328.380000 0001 2159 175XLife and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal ,grid.10328.380000 0001 2159 175XICVS/3B’s, PT Government Associate Laboratory, Braga/Guimarães, Portugal ,grid.512329.eClinical Academic Center-Braga (2CA), Braga, Portugal ,grid.436922.80000 0004 4655 1975Hospital de Braga, Braga, Portugal
| | - Akiko Nakagawa
- grid.136304.30000 0004 0370 1101Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | - Takashi Nakamae
- grid.272458.e0000 0001 0667 4960Graduate School of Medical Science Kyoto Prefectural University of Medicine, Department of Psychiatry, Kyoto, Japan
| | - Janardhanan C. Narayanaswamy
- grid.416861.c0000 0001 1516 2246OCD clinic, Department of Psychiatry, National Institute of Mental Health And Neurosciences (NIMHANS), Bangalore, India
| | - Erika L. Nurmi
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA USA
| | - Ana E. Ortiz
- grid.410458.c0000 0000 9635 9413Department of Child and Adolescent Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic, Barcelona, Spain ,grid.10403.360000000091771775Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Jose C. Pariente
- grid.10403.360000000091771775Magnetic Resonance Image Core Facility, Institut d’Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - John Piacentini
- grid.19006.3e0000 0000 9632 6718UCLA Semel Institute, Division of Child and Adolescent Psychiatry, Los Angeles, CA USA
| | - Maria Picó-Pérez
- grid.10328.380000 0001 2159 175XLife and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal ,grid.10328.380000 0001 2159 175XICVS/3B’s, PT Government Associate Laboratory, Braga/Guimarães, Portugal ,grid.512329.eClinical Academic Center - Braga, Braga, Portugal
| | - Fabrizio Piras
- grid.417778.a0000 0001 0692 3437Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Federica Piras
- grid.417778.a0000 0001 0692 3437Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Christopher Pittenger
- grid.47100.320000000419368710Department of Psychiatry and Yale Child Study Center, Yale University, New Haven, CT USA
| | - Y. C. Janardhan Reddy
- grid.416861.c0000 0001 1516 2246OCD clinic, Department of Psychiatry, National Institute of Mental Health And Neurosciences (NIMHANS), Bangalore, India
| | - Daniela Rodriguez-Manrique
- grid.6936.a0000000123222966TUM-Neuroimaging Center (TUM-NIC) of Klinikum rechts der Isar, Technische Universität München, München, Germany ,grid.6936.a0000000123222966Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany ,grid.5252.00000 0004 1936 973XGraduate School of Systemic Neurosciences (GSN), Ludwig-Maximilians-Universität, Munich, Germany
| | - Yuki Sakai
- grid.272458.e0000 0001 0667 4960Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan ,grid.418163.90000 0001 2291 1583Department of Neural Computation for Decision-Making, Advanced Telecommunications Research Institute International Brain Information Communication Research Laboratory Group, Kyoto, Japan
| | - Eiji Shimizu
- grid.136304.30000 0004 0370 1101Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | - Venkataram Shivakumar
- grid.416861.c0000 0001 1516 2246Department of Integrative Medicine, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Helen Blair Simpson
- grid.21729.3f0000000419368729Columbia University Irving Medical College, Columbia University, New York, NY USA ,grid.413734.60000 0000 8499 1112New York State Psychiatric Institute, New York, NY USA
| | - Noam Soreni
- grid.25073.330000 0004 1936 8227Department of Psychiatry and Behavioral Neurosciences, McMaster University, Hamilton, Ontario Canada ,Pediatric OCD Consultation Team, Anxiety Treatment and Research Center, Hamilton, Ontario Canada
| | - Carles Soriano-Mas
- grid.411129.e0000 0000 8836 0780Bellvitge Biomedical Research Insitute-IDIBELL, Bellvitge University Hospital, Barcelona, Spain ,grid.469673.90000 0004 5901 7501CIBERSAM, Barcelona, Spain ,grid.7080.f0000 0001 2296 0625Department of Psychobiology and Methodology of Health Sciences, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Nuno Sousa
- grid.10328.380000 0001 2159 175XLife and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal ,grid.10328.380000 0001 2159 175XICVS/3B’s, PT Government Associate Laboratory, Braga/Guimarães, Portugal ,grid.512329.eClinical Academic Center - Braga, Braga, Portugal
| | - Gianfranco Spalletta
- grid.417778.a0000 0001 0692 3437IRCCS Santa Lucia Foundation, Laboratory of Neuropsychiatry, Rome, Italy ,grid.39382.330000 0001 2160 926XBaylor College of Medicine, Department of Psychiatry and Behavioral Sciences, Houston, TX USA
| | - Emily R. Stern
- grid.137628.90000 0004 1936 8753Department of Psychiatry, New York University School of Medicine, New York, NY USA ,grid.250263.00000 0001 2189 4777Clinical Research, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY USA
| | - Michael C. Stevens
- grid.277313.30000 0001 0626 2712Institute of Living, Hartford, CT USA ,grid.47100.320000000419368710Yale University School of Medicine, New Haven, CT USA
| | - S. Evelyn Stewart
- grid.17091.3e0000 0001 2288 9830Department of Psychiatry, University of British Columbia, Vancouver, Canada ,grid.414137.40000 0001 0684 7788British Columbia Children’s Hospital Research Institute, Vancouver, Canada ,grid.498716.50000 0000 8794 2105BC Mental Health and Substance Use Services Research Institute, Vancouver, Canada
| | - Philip R. Szeszko
- grid.59734.3c0000 0001 0670 2351Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.274295.f0000 0004 0420 1184James J. Peters VA Medical Center, Mental Illness Research, Education and Clinical Center, Bronx, NY USA
| | - Jumpei Takahashi
- grid.411321.40000 0004 0632 2959Department of Child Psychiatry, Chiba University Hospital, Chiba, Japan
| | - Tais Tanamatis
- grid.11899.380000 0004 1937 0722Departamento de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP Brazil
| | - Jinsong Tang
- grid.13402.340000 0004 1759 700XDepartment of Psychiatry, Sir Run-Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China ,grid.13402.340000 0004 1759 700XLiangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
| | - Anders Lillevik Thorsen
- grid.412008.f0000 0000 9753 1393Bergen Center for Brain Plasticity, Haukeland University Hospital, Bergen, Norway ,grid.7914.b0000 0004 1936 7443Centre for Crisis Psychology, University of Bergen, Bergen, Norway
| | - David Tolin
- grid.47100.320000000419368710Yale University School of Medicine, New Haven, CT USA ,grid.277313.30000 0001 0626 2712Institute of Living/Hartford Hospital, Hartford, CT USA
| | - Ysbrand D. van der Werf
- grid.12380.380000 0004 1754 9227Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Department of Anatomy & Neurosciences, Amsterdam, The Netherlands
| | - Hein van Marle
- grid.12380.380000 0004 1754 9227Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Department of Anatomy & Neurosciences, Amsterdam, The Netherlands
| | - Guido A. van Wingen
- grid.484519.5Amsterdam UMC, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Daniela Vecchio
- grid.417778.a0000 0001 0692 3437Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - G. Venkatasubramanian
- grid.416861.c0000 0001 1516 2246National Institute of Mental Health And Neurosciences, Department of Psychiatry, Bengaluru, India
| | - Susanne Walitza
- grid.7400.30000 0004 1937 0650Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland ,grid.7400.30000 0004 1937 0650Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Jicai Wang
- grid.414902.a0000 0004 1771 3912Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Zhen Wang
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Anri Watanabe
- grid.272458.e0000 0001 0667 4960Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Lidewij H. Wolters
- grid.509540.d0000 0004 6880 3010Amsterdam UMC, Department of Child and Adolescent Psychiatry, Amsterdam, the Netherlands ,Levvel, Academic Center for Child and Adolescent Psychiatry, Post Box 303, 1115 ZG Duivendrecht, the Netherlands
| | - Xiufeng Xu
- grid.414902.a0000 0004 1771 3912Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Je-Yeon Yun
- grid.412484.f0000 0001 0302 820XSeoul National University Hospital, Seoul, Republic of Korea ,grid.31501.360000 0004 0470 5905Yeongeon Student Support Center, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Qing Zhao
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | | | - Tonya White
- grid.5645.2000000040459992XErasmus Medical Center, Department of Child and Adolescent Psychiatry/Psychology, Wytemaweg 8, 3015 GD Rotterdam, the Netherlands ,grid.42505.360000 0001 2156 6853Department of Radiology and Nuclear Medicine, University of Southern California, Los Angeles, CA USA
| | - Paul M. Thompson
- grid.42505.360000 0001 2156 6853Imaging Genetics Center, Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Dan J. Stein
- grid.7836.a0000 0004 1937 1151SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Odile A. van den Heuvel
- grid.12380.380000 0004 1754 9227Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Department of Anatomy & Neurosciences, Amsterdam, The Netherlands
| | - Chris Vriend
- grid.12380.380000 0004 1754 9227Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Department of Anatomy & Neurosciences, Amsterdam, The Netherlands
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37
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Wang J, Li G, Hu Y, Zhang W, Zhang L, Tan Z, Li H, Jia Z, von Deneen KM, Li X, Yu J, Han Y, Cui G, Manza P, Shokri-Kojori E, Tomasi D, Volkow ND, Nie Y, Ji G, Zhang Y, Wang GJ. Habenular and mediodorsal thalamic connectivity predict persistent weight loss after laparoscopic sleeve gastrectomy. Obesity (Silver Spring) 2022; 30:172-182. [PMID: 34889060 DOI: 10.1002/oby.23325] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 09/24/2021] [Accepted: 09/29/2021] [Indexed: 11/08/2022]
Abstract
OBJECTIVE The aim of this study was to investigate laparoscopic sleeve gastrectomy (LSG)-induced changes in connectivity between regions involved with reward/antireward and cognitive control and the extent to which these changes persist after surgery and predict sustainable weight loss. METHODS Whole-brain local functional connectivity density (lFCD) was studied in 25 participants with obesity who underwent resting-state functional MRI before (PreLSG), 1 month after (PostLSG1 ), and 12 months after (PostLSG12 ) LSG and compared with 25 normal-weight controls. Regions with significant time effects of LSG on functional connectivity density were identified for subsequent seed-based connectivity analyses and to examine associations with behavior. RESULTS LSG significantly increased lFCD in the mediodorsal thalamic nucleus (MD) and in the habenula (Hb) at PostLSG12 compared with PreLSG/PostLSG1 , whereas it decreased lFCD in the posterior cingulate cortex/precuneus (PCC/PreCun) at PostLSG1 /PostLSG12 , and these changes were associated with reduction in BMI. In contrast, controls had no significant lFCD differences between baseline and repeated measures. MD had stronger connectivity with PreCun and Hb at PostLSG12 compared with PreLSG/PostLSG1 , and the increased MD-left PreCun and Hb-MD connectivity correlated with decreases in hunger and BMI, respectively. PCC/PreCun had stronger connectivity with the insula at PostLSG1-12 . CONCLUSIONS The findings highlight the importance of reward and interoceptive regions as well as that of regions mediating negative emotions in the long-term therapeutic benefits of LSG.
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Affiliation(s)
- Jia Wang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Wenchao Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Lei Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Zongxin Tan
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Hao Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Zhenzhen Jia
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Karen M von Deneen
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Xiaohua Li
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, Shaanxi, China
| | - Juan Yu
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, Shaanxi, China
| | - Yu Han
- Department of Radiology, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi, China
| | - Guangbin Cui
- Department of Radiology, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi, China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA
| | - Ehsan Shokri-Kojori
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA
| | - Dardo Tomasi
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA
| | - Nora D Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA
| | - Yongzhan Nie
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, Shaanxi, China
| | - Gang Ji
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, Shaanxi, China
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA
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38
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Topography of Emotions in Cerebellum as Appraised by Functional Imaging. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1378:77-86. [DOI: 10.1007/978-3-030-99550-8_6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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39
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Xie H, Huffman N, Shih CH, Cotton AS, Buehler M, Brickman KR, Wall JT, Wang X. Adverse childhood experiences associate with early post-trauma thalamus and thalamic nuclei volumes and PTSD development in adulthood. Psychiatry Res Neuroimaging 2022; 319:111421. [PMID: 34864509 PMCID: PMC8724406 DOI: 10.1016/j.pscychresns.2021.111421] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 10/14/2021] [Accepted: 10/28/2021] [Indexed: 01/03/2023]
Abstract
Adverse childhood experiences (ACEs) potentially contribute to posttraumatic stress disorder (PTSD) after adult trauma exposure, but underlying brain changes remain unclear. The present study tested relationships between ACEs, whole thalamus and thalamic nuclei volumes, and post-trauma stress symptoms (PTSS) after adult trauma. Trauma survivors (n = 101) completed the Childhood Trauma Questionnaire (CTQ), the PTSD checklist-special stressor version 5 (PCL), and a structural magnetic resonance imaging (sMRI) scan within post-trauma 2 weeks. At post-trauma 3 months, survivors completed a second PCL survey and a PTSD diagnosis interview using the Clinician-Administered PTSD Scale (CAPS). CTQ scores significantly positively correlated with PCL scores at post-trauma 2 weeks and 3 months (respective p's < 0.01 and < 0.001). CTQ scores significantly negatively correlated with whole thalamus and 7 thalamic nuclei volumes at post-trauma 2 weeks in the PTSD (N = 50), but not the non-PTSD (N = 51) group. Whole thalamus and 22 nuclei volumes significantly negatively correlated with PCL scores at post-trauma 3 months in the PTSD, but not the non-PTSD group. These results suggest ACEs negatively influence early post-trauma thalamic volumes which, in turn, are negatively associated with PTSS in survivors who develop PTSD.
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Affiliation(s)
- Hong Xie
- Department of Neurosciences, University of Toledo, Toledo, OH, United States of America.
| | - Nickelas Huffman
- Department of Emergency Medicine, University of Toledo, Toledo, OH, United States of America
| | - Chia-Hao Shih
- Department of Emergency Medicine, University of Toledo, Toledo, OH, United States of America
| | - Andrew S Cotton
- Department of Psychiatry, University of Toledo, Toledo, OH, United States of America
| | - Mark Buehler
- Department of Radiology, University of Toledo, Toledo, OH, United States of America
| | - Kristopher R Brickman
- Department of Emergency Medicine, University of Toledo, Toledo, OH, United States of America
| | - John T Wall
- Department of Neurosciences, University of Toledo, Toledo, OH, United States of America
| | - Xin Wang
- Department of Psychiatry, University of Toledo, Toledo, OH, United States of America
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Sandry J, Dobryakova E. Global hippocampal and selective thalamic nuclei atrophy differentiate chronic TBI from Non-TBI. Cortex 2021; 145:37-56. [PMID: 34689031 DOI: 10.1016/j.cortex.2021.08.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 05/04/2021] [Accepted: 08/12/2021] [Indexed: 12/27/2022]
Abstract
Traumatic brain injury (TBI) may increase susceptibility to neurodegenerative diseases later in life. One neurobiological parallel between chronic TBI and neurodegeneration may be accelerated aging and the nature of atrophy across subcortical gray matter structures. The main aim of the present investigation is to evaluate and rank the degree that subcortical gray matter atrophy differentiates chronic moderate-severe TBI from non-TBI participants by evaluating morphometric differences between groups. Forty individuals with moderate-severe chronic TBI (9.23 yrs from injury) and 33 healthy controls (HC) underwent high resolution 3D T1-weighted structural magnetic resonance imaging. Whole brain volume was classified into white matter, cortical and subcortical gray matter structures with hippocampi and thalami further segmented into subfields and nuclei, respectively. Extensive atrophy was observed across nearly all brain regions for chronic TBI participants. A series of multivariate logistic regression models identified subcortical gray matter structures of the hippocampus and thalamus as the most sensitive to differentiating chronic TBI from non-TBI participants (McFadden R2 = .36, p < .001). Further analyses revealed the pattern of hippocampal atrophy to be global, occurring across nearly all subfields. The pattern of thalamic atrophy appeared to be much more selective and non-uniform, with largest between-group differences evident for nuclei bordering the ventricles. Subcortical gray matter was negatively correlated with time since injury (r = -.31, p = .054), while white matter and cortical gray matter were not. Cognitive ability was lower in the chronic TBI group (Cohen's d = .97, p = .003) and correlated with subcortical structures including the pallidum (r2 = .23, p = .038), thalamus (r2 = .36, p = .007) and ventral diencephalon (r2 = .23, p = .036). These data may support an accelerated aging hypothesis in chronic moderate-severe TBI that coincides with a similar neuropathological profile found in neurodegenerative diseases.
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Affiliation(s)
- Joshua Sandry
- Psychology Department, Montclair State University, Montclair, NJ, USA.
| | - Ekaterina Dobryakova
- Center for Traumatic Brain Injury Research, Kessler Foundation, East Hanover, NJ, USA; Department of Physical Medicine and Rehabilitation, Rutgers-New Jersey Medical School Newark, NJ, USA
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Potential contribution of pineal atrophy and pineal cysts toward vulnerability and clinical characteristics of psychosis. NEUROIMAGE-CLINICAL 2021; 32:102805. [PMID: 34461434 PMCID: PMC8405969 DOI: 10.1016/j.nicl.2021.102805] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 07/31/2021] [Accepted: 08/20/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND Magnetic resonance imaging (MRI) studies reported pineal gland atrophy in schizophrenia patients and individuals at a clinical high risk of developing psychosis, implicating abnormalities in melatonin secretion in the pathophysiology of psychosis. However, it currently remains unclear whether the morphology of the pineal gland contributes to symptomatology and sociocognitive functions. METHODS This MRI study examined pineal gland volumes and the prevalence of pineal cysts as well as their relationship with clinical characteristics in 57 at risk mental state (ARMS) subjects, 63 patients with schizophrenia, and 61 healthy controls. The Social and Occupational Functioning Assessment Scale (SOFAS), the Schizophrenia Cognition Rating Scale (SCoRS), and the Brief Assessment of Cognition in Schizophrenia (BACS) were used to assess sociocognitive functions, while the Positive and Negative Syndrome Scale was employed to evaluate clinical symptoms in ARMS subjects and schizophrenia patients. RESULTS Pineal gland volumes were significantly smaller in the ARMS and schizophrenia groups than in the controls, while no significant differences were observed in the prevalence of pineal cysts. Although BACS, SCoRS, and SOFAS scores were not associated with pineal morphology, patients with pineal cysts in the schizophrenia group exhibited severe positive psychotic symptoms with rather mild negative symptoms. CONCLUSION The present results indicate the potential of pineal atrophy as a vulnerability marker in various stages of psychosis and suggest that pineal cysts influence the clinical subtype of schizophrenia.
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Radoman M, Lieberman L, Jimmy J, Gorka SM. Shared and unique neural circuitry underlying temporally unpredictable threat and reward processing. Soc Cogn Affect Neurosci 2021; 16:370-382. [PMID: 33449089 PMCID: PMC7990065 DOI: 10.1093/scan/nsab006] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 11/20/2020] [Accepted: 01/14/2021] [Indexed: 11/14/2022] Open
Abstract
Temporally unpredictable stimuli influence behavior across species, as previously demonstrated for sequences of simple threats and rewards with fixed or variable onset. Neuroimaging studies have identified a specific frontolimbic circuit that may become engaged during the anticipation of temporally unpredictable threat (U-threat). However, the neural mechanisms underlying processing of temporally unpredictable reward (U-reward) are incompletely understood. It is also unclear whether these processes are mediated by overlapping or distinct neural systems. These knowledge gaps are noteworthy given that disruptions within these neural systems may lead to maladaptive response to uncertainty. Here, using functional magnetic resonance imaging data from a sample of 159 young adults, we showed that anticipation of both U-threat and U-reward elicited activation in the right anterior insula, right ventral anterior nucleus of the thalamus and right inferior frontal gyrus. U-threat also activated the right posterior insula and dorsal anterior cingulate cortex, relative to U-reward. In contrast, U-reward elicited activation in the right fusiform and left middle occipital gyrus, relative to U-threat. Although there is some overlap in the neural circuitry underlying anticipation of U-threat and U-reward, these processes appear to be largely mediated by distinct circuits. Future studies are needed to corroborate and extend these preliminary findings.
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Affiliation(s)
- Milena Radoman
- Department of Psychiatry, University of Illinois-Chicago, Chicago, IL 60612, USA.,Graduate Program in Neuroscience, University of Illinois-Chicago, Chicago, IL 60612, USA
| | - Lynne Lieberman
- Road Home Program, Rush University Medical Center, Chicago, IL 60612, USA
| | - Jagan Jimmy
- Department of Psychiatry, University of Illinois-Chicago, Chicago, IL 60612, USA
| | - Stephanie M Gorka
- Department of Psychiatry and Behavioral Health, Ohio State University, Columbus, OH 43205, USA
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Zhang M, Liu S, Wang S, Xu Y, Chen L, Shao Z, Wen X, Yang W, Liu J, Yuan K. Reduced thalamic resting-state functional connectivity and impaired cognition in acute abstinent heroin users. Hum Brain Mapp 2021; 42:2077-2088. [PMID: 33459459 PMCID: PMC8046054 DOI: 10.1002/hbm.25346] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 01/05/2021] [Accepted: 01/07/2021] [Indexed: 12/13/2022] Open
Abstract
As a critical component of cortico-striato-thalamo-cortical loop in addiction, our understanding of the thalamus in impaired cognition of heroin users (HU) has been limited. Due to the complex thalamic connection with cortical and subcortical regions, thalamus was divided into prefrontal (PFC), occipital (OC), premotor, primary motor, sensory, temporal, and posterior parietal association subregions according to white matter tractography. We adopted seven subregions of bilateral thalamus as regions of interest to systematically study the implications of distinct thalamic nuclei in acute abstinent HU. The volume and resting-state functional connectivity (RSFC) differences of the thalamus were investigated between age-, gender-, and alcohol-matched 37 HU and 33 healthy controls (HCs). Trail making test-A (TMT-A) was adopted to assess cognitive function deficits, which were then correlated with neuroimaging findings. Although no significant different volumes were found, HU group showed decreased RSFC between left PFC_thalamus and middle temporal gyrus as well as between left OC_thalamus and inferior frontal gyrus and supplementary motor area relative to HCs. Meanwhile, the higher TMT-A scores in HU were negatively correlated with PFC_thalamic RSFC with inferior temporal gyrus, fusiform, and precuneus. Craving scores were negatively correlated with OC_thalamic RSFC with accumbens, hippocampus, and insula. Opiate Withdrawal Scale scores were negatively correlated with left PFC/OC_thalamic RSFC with orbitofrontal cortex and medial PFC. We indicated two thalamus subregions separately involvement in cognitive control and craving to reveal the implications of thalamic subnucleus in pathology of acute abstinent HU.
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Affiliation(s)
- Min Zhang
- School of Life Science and TechnologyXidian UniversityXi'anShaanxiPeople's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi'anPeople's Republic of China
| | - Shuang Liu
- School of Life Science and TechnologyXidian UniversityXi'anShaanxiPeople's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi'anPeople's Republic of China
| | - Shicong Wang
- School of Life Science and TechnologyXidian UniversityXi'anShaanxiPeople's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi'anPeople's Republic of China
| | - Yan Xu
- School of Life Science and TechnologyXidian UniversityXi'anShaanxiPeople's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi'anPeople's Republic of China
| | - Longmao Chen
- School of Life Science and TechnologyXidian UniversityXi'anShaanxiPeople's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi'anPeople's Republic of China
| | - Ziqiang Shao
- School of Life Science and TechnologyXidian UniversityXi'anShaanxiPeople's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi'anPeople's Republic of China
| | - Xinwen Wen
- School of Life Science and TechnologyXidian UniversityXi'anShaanxiPeople's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi'anPeople's Republic of China
| | - Wenhan Yang
- Department of RadiologySecond Xiangya Hospital, Central South UniversityChangshaChina
| | - Jun Liu
- Department of RadiologySecond Xiangya Hospital, Central South UniversityChangshaChina
| | - Kai Yuan
- School of Life Science and TechnologyXidian UniversityXi'anShaanxiPeople's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi'anPeople's Republic of China
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Sweeney-Reed CM, Buentjen L, Voges J, Schmitt FC, Zaehle T, Kam JWY, Kaufmann J, Heinze HJ, Hinrichs H, Knight RT, Rugg MD. The role of the anterior nuclei of the thalamus in human memory processing. Neurosci Biobehav Rev 2021; 126:146-158. [PMID: 33737103 DOI: 10.1016/j.neubiorev.2021.02.046] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 02/19/2021] [Accepted: 02/24/2021] [Indexed: 12/13/2022]
Abstract
Extensive neuroanatomical connectivity between the anterior thalamic nuclei (ATN) and hippocampus and neocortex renders them well-placed for a role in memory processing, and animal, lesion, and neuroimaging studies support such a notion. The deep location and small size of the ATN have precluded their real-time electrophysiological investigation during human memory processing. However, ATN electrophysiological recordings from patients receiving electrodes implanted for deep brain stimulation for pharmacoresistant focal epilepsy have enabled high temporal resolution study of ATN activity. Theta frequency synchronization of ATN and neocortical oscillations during successful memory encoding, enhanced phase alignment, and coupling between ATN local gamma frequency activity and frontal neocortical and ATN theta oscillations provide evidence of an active role for the ATN in memory encoding, potentially integrating information from widespread neocortical sources. Greater coupling of a broader gamma frequency range with theta oscillations at rest than during memory encoding provides additional support for the hypothesis that the ATN play a role in selecting local, task-relevant high frequency activity associated with particular features of a memory trace.
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Affiliation(s)
- Catherine M Sweeney-Reed
- Neurocybernetics and Rehabilitation, Dept. of Neurology, Otto-von-Guericke University Magdeburg, Leipziger Straße 44, 39120, Magdeburg, Germany; Center for Behavioral Brain Sciences, Otto-von-Guericke University, Magdeburg, Germany.
| | - Lars Buentjen
- Dept. of Stereotactic Neurosurgery, Otto-von-Guericke University, Magdeburg, Germany
| | - Jürgen Voges
- Center for Behavioral Brain Sciences, Otto-von-Guericke University, Magdeburg, Germany; Dept. of Stereotactic Neurosurgery, Otto-von-Guericke University, Magdeburg, Germany
| | | | - Tino Zaehle
- Center for Behavioral Brain Sciences, Otto-von-Guericke University, Magdeburg, Germany; Dept. of Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - Julia W Y Kam
- Department of Psychology, University of Calgary, Calgary, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, Canada; Helen Wills Neuroscience Institute, University of California - Berkeley, Berkeley, CA, USA
| | - Jörn Kaufmann
- Dept. of Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - Hans-Jochen Heinze
- Center for Behavioral Brain Sciences, Otto-von-Guericke University, Magdeburg, Germany; Dept. of Neurology, Otto-von-Guericke University, Magdeburg, Germany; Dept. of Behavioral Neurology, Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - Hermann Hinrichs
- Center for Behavioral Brain Sciences, Otto-von-Guericke University, Magdeburg, Germany; Dept. of Neurology, Otto-von-Guericke University, Magdeburg, Germany; Dept. of Behavioral Neurology, Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - Robert T Knight
- Helen Wills Neuroscience Institute, University of California - Berkeley, Berkeley, CA, USA; Department of Psychology, University of California, Berkeley, Berkeley, CA, USA
| | - Michael D Rugg
- Center for Vital Longevity and School of Behavioral and Brain Sciences, University of Texas, Dallas, TX, USA
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Cassel JC, Pereira de Vasconcelos A. Routes of the thalamus through the history of neuroanatomy. Neurosci Biobehav Rev 2021; 125:442-465. [PMID: 33676963 DOI: 10.1016/j.neubiorev.2021.03.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 02/19/2021] [Accepted: 03/01/2021] [Indexed: 12/24/2022]
Abstract
The most distant roots of neuroanatomy trace back to antiquity, with the first human dissections, but no document which would identify the thalamus as a brain structure has reached us. Claudius Galenus (Galen) gave to the thalamus the name 'thalamus nervorum opticorum', but later on, other names were used (e.g., anchae, or buttocks-like). In 1543, Andreas Vesalius provided the first quality illustrations of the thalamus. During the 19th century, tissue staining techniques and ablative studies contributed to the breakdown of the thalamus into subregions and nuclei. The next step was taken using radiomarkers to identify connections in the absence of lesions. Anterograde and retrograde tracing methods arose in the late 1960s, supporting extension, revision, or confirmation of previously established knowledge. The use of the first viral tracers introduced a new methodological breakthrough in the mid-1970s. Another important step was supported by advances in neuroimaging of the thalamus in the 21th century. The current review follows the history of the thalamus through these technical revolutions from Antiquity to the present day.
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Affiliation(s)
- Jean-Christophe Cassel
- Laboratoire de Neurosciences Cognitives et Adaptatives, Université de Strasbourg, F-67000 Strasbourg, France; LNCA, UMR 7364 - CNRS, F-67000 Strasbourg, France.
| | - Anne Pereira de Vasconcelos
- Laboratoire de Neurosciences Cognitives et Adaptatives, Université de Strasbourg, F-67000 Strasbourg, France; LNCA, UMR 7364 - CNRS, F-67000 Strasbourg, France
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Neuronal cell types in the anterior ventral thalamic nucleus of the camel. Anat Rec (Hoboken) 2021; 304:2044-2049. [DOI: 10.1002/ar.24592] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 12/18/2020] [Accepted: 01/14/2021] [Indexed: 12/19/2022]
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Cho SE, Kim N, Na KS, Kang CK, Kang SG. Thalamo-Habenular Connection Differences Between Patients With Major Depressive Disorder and Normal Controls. Front Psychiatry 2021; 12:699416. [PMID: 34539461 PMCID: PMC8440934 DOI: 10.3389/fpsyt.2021.699416] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 08/09/2021] [Indexed: 01/18/2023] Open
Abstract
Background: The thalamus and habenula are thought to be key brain regions in the etiology of major depressive disorder (MDD); however, few studies have investigated the structural connection between them. We compared the number of white matter tracts between the thalamus and habenula between patient with MDD and normal controls (NCs). Methods: The habenula and thalamus region of interest masks were extracted from brain magnetic resonance imaging data and individual tractography analysis was performed. First, we compared the number of fiber connections from the habenula to the thalamus between the MDD (n = 34) and NC (n = 37) groups and also compared hemispherical differences to investigate possible asymmetries. Results: There was a significant difference in the number of tracts in the right habenula-left mediodorsal thalamus pair between the two groups. For hemispherical fiber connections, the waytotal ratio of the right ipsilateral tract between the thalamus and habenula was significantly higher than that of the left ipsilateral tract in both groups. Conclusion: The number of right habenula-left mediodorsal thalamus tracts was higher in patients with MDD than in NCs. These results indicate that MDD is related to the disintegration of the left thalamus-right habenula tract function with an increased number of tracts as a compensational mechanism.
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Affiliation(s)
- Seo-Eun Cho
- Department of Psychiatry, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea
| | - Nambeom Kim
- Department of Biomedical Engineering Research Center, Gachon University, Incheon, South Korea
| | - Kyoung-Sae Na
- Department of Psychiatry, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea
| | - Chang-Ki Kang
- Department of Radiological Science, College of Health Science, Gachon University, Incheon, South Korea
| | - Seung-Gul Kang
- Department of Psychiatry, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea
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Thalamic Functional Connectivity during Spatial Long-Term Memory and the Role of Sex. Brain Sci 2020; 10:brainsci10120898. [PMID: 33255156 PMCID: PMC7761215 DOI: 10.3390/brainsci10120898] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 11/15/2020] [Accepted: 11/19/2020] [Indexed: 12/03/2022] Open
Abstract
The thalamus has been implicated in many cognitive processes, including long-term memory. More specifically, the anterior (AT) and mediodorsal (MD) thalamic nuclei have been associated with long-term memory. Despite extensive mapping of the anatomical connections between these nuclei and other brain regions, little is known regarding their functional connectivity during long-term memory. The current study sought to determine which brain regions are functionally connected to AT and MD during spatial long-term memory and whether sex differences exist in the patterns of connectivity. During encoding, abstract shapes were presented to the left and right of fixation. During retrieval, shapes were presented at fixation, and participants made an “old-left” or “old-right” judgment. Activations functionally connected to AT and MD existed in regions with known anatomical connections to each nucleus as well as in a broader network of long-term memory regions. Sex differences were identified in a subset of these regions. A targeted region-of-interest analysis identified anti-correlated activity between MD and the hippocampus that was specific to females, which is consistent with findings in rodents. The current results suggest that AT and MD play key roles during spatial long-term memory and suggest that these functions may be sex specific.
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