المؤلفون: Matte Bon G; Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Calwerstraße 14, 72076, Tübingen, Germany. gloria.matte-bon@uni-tuebingen.de.; Department of Women's and Children's Health, Science for Life Laboratory, Uppsala University, Uppsala, Sweden. gloria.matte-bon@uni-tuebingen.de., Kraft D; Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Calwerstraße 14, 72076, Tübingen, Germany., Comasco E; Department of Women's and Children's Health, Science for Life Laboratory, Uppsala University, Uppsala, Sweden., Derntl B; 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., Kaufmann T; Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Calwerstraße 14, 72076, Tübingen, Germany. tobias.kaufmann@med.uni-tuebingen.de.; German Center for Mental Health (DZPG), Partner Site Tübingen, Tübingen, Germany. tobias.kaufmann@med.uni-tuebingen.de.; Centre for Precision Psychiatry, Division of Mental Health and Addiction, Institute of Clinical Medicine, University of Oslo, Oslo, Norway. tobias.kaufmann@med.uni-tuebingen.de.

المصدر: Biology of sex differences [Biol Sex Differ] 2024 May 15; Vol. 15 (1), pp. 42. Date of Electronic Publication: 2024 May 15.

نوع المنشور: Journal Article

بيانات الدورية: Publisher: BioMed Central Country of Publication: England NLM ID: 101548963 Publication Model: Electronic Cited Medium: Internet ISSN: 2042-6410 (Electronic) Linking ISSN: 20426410 NLM ISO Abbreviation: Biol Sex Differ Subsets: MEDLINE

مواضيع طبية MeSH: Limbic System*/diagnostic imaging , Sex Characteristics* , Mental Disorders*/genetics , Mental Disorders*/diagnostic imaging , Phenotype*, Humans ; Female ; Male ; Adult ; Machine Learning ; Depressive Disorder, Major/genetics ; Depressive Disorder, Major/diagnostic imaging ; Young Adult ; Middle Aged

مستخلص: 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.
(© 2024. The Author(s).)

المؤلفون: Zhang C; Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, Guangdong 528000, China., Liang J; Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, Guangdong 528000, China., Yan H; Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China., Li X; Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, Guangdong 528000, China., Li X; Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, Guangdong 528000, China., Jing H; Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, Guangdong 528000, China., Liang W; Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, Guangdong 528000, China., Li R; Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, Guangdong 528000, China., Ou Y; Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China., Wu W; Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, Guangdong 528000, China., Guo H; Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, Guangdong 528000, China., Deng W; Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, Guangdong 528000, China., Xie G; Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, Guangdong 528000, China. Electronic address: xiegjfs@126.com., Guo W; Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China. Electronic address: guowenbin76@csu.edu.cn.

المصدر: Schizophrenia research [Schizophr Res] 2024 May; Vol. 267, pp. 519-527. Date of Electronic Publication: 2024 May 03.

نوع المنشور: Journal Article

بيانات الدورية: Publisher: Elsevier Science Publisher B. V Country of Publication: Netherlands NLM ID: 8804207 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2509 (Electronic) Linking ISSN: 09209964 NLM ISO Abbreviation: Schizophr Res Subsets: MEDLINE

مواضيع طبية MeSH: Schizophrenia*/physiopathology , Schizophrenia*/diagnostic imaging , Schizophrenia*/drug therapy , Magnetic Resonance Imaging* , Antipsychotic Agents*/pharmacology , Limbic System*/diagnostic imaging , Limbic System*/physiopathology, Humans ; Male ; Female ; Adult ; Longitudinal Studies ; Young Adult ; Treatment Outcome ; Outcome Assessment, Health Care ; Middle Aged ; Support Vector Machine

مستخلص: Background: Previous investigations have revealed substantial differences in neuroimaging characteristics between healthy controls (HCs) and individuals diagnosed with schizophrenia (SCZ). However, we are not entirely sure how brain activity links to symptoms in schizophrenia, and there is a need for reliable brain imaging markers for treatment prediction.
Methods: In this longitudinal study, we examined 56 individuals diagnosed with 56 SCZ and 51 HCs. The SCZ patients underwent a three-month course of antipsychotic treatment. We employed resting-state functional magnetic resonance imaging (fMRI) along with fractional Amplitude of Low Frequency Fluctuations (fALFF) and support vector regression (SVR) methods for data acquisition and subsequent analysis.
Results: In this study, we initially noted lower fALFF values in the right postcentral/precentral gyrus and left postcentral gyrus, coupled with higher fALFF values in the left hippocampus and right putamen in SCZ patients compared to the HCs at baseline. However, when comparing fALFF values in brain regions with abnormal baseline fALFF values for SCZ patients who completed the follow-up, no significant differences in fALFF values were observed after 3 months of treatment compared to baseline data. The fALFF values in the right postcentral/precentral gyrus and left postcentral gyrus, and the left postcentral gyrus were useful in predicting treatment effects.
Conclusion: Our findings suggest that reduced fALFF values in the sensory-motor networks and increased fALFF values in the limbic system may constitute distinctive neurobiological features in SCZ patients. These findings may serve as potential neuroimaging markers for the prognosis of SCZ patients.
Competing Interests: Declaration of competing interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
(Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

المؤلفون: Chen Y; School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213159, China., Wang L; School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213159, China., Li Z; School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213159, China., Tang Y; College of Information Science and Engineering, Hohai University, Changzhou 213200, China., Huan Z; School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213159, China.

المصدر: Mathematical biosciences and engineering : MBE [Math Biosci Eng] 2024 Apr 28; Vol. 21 (4), pp. 5803-5825.

نوع المنشور: Journal Article

بيانات الدورية: Publisher: American Institute of Mathematical Sciences;; _b Beihang University Country of Publication: United States NLM ID: 101197794 Publication Model: Print Cited Medium: Internet ISSN: 1551-0018 (Electronic) Linking ISSN: 15471063 NLM ISO Abbreviation: Math Biosci Eng Subsets: MEDLINE

مواضيع طبية MeSH: Attention Deficit Disorder with Hyperactivity*/diagnostic imaging , Attention Deficit Disorder with Hyperactivity*/metabolism , Cerebellum*/diagnostic imaging , Cerebellum*/metabolism , Limbic System*/diagnostic imaging , Limbic System*/physiopathology , Limbic System*/metabolism , Biomarkers*/metabolism , Magnetic Resonance Imaging*/methods, Humans ; Child ; Male ; Female ; Brain Mapping/methods ; Neuroimaging/methods ; Adolescent ; Algorithms ; Hippocampus/diagnostic imaging ; Hippocampus/metabolism

مستخلص: Attention deficit hyperactivity disorder (ADHD) is a common childhood developmental disorder. In recent years, pattern recognition methods have been increasingly applied to neuroimaging studies of ADHD. However, these methods often suffer from limited accuracy and interpretability, impeding their contribution to the identification of ADHD-related biomarkers. To address these limitations, we applied the amplitude of low-frequency fluctuation (ALFF) results for the limbic system and cerebellar network as input data and conducted a binary hypothesis testing framework for ADHD biomarker detection. Our study on the ADHD-200 dataset at multiple sites resulted in an average classification accuracy of 93%, indicating strong discriminative power of the input brain regions between the ADHD and control groups. Moreover, our approach identified critical brain regions, including the thalamus, hippocampal gyrus, and cerebellum Crus 2, as biomarkers. Overall, this investigation uncovered potential ADHD biomarkers in the limbic system and cerebellar network through the use of ALFF realizing highly credible results, which can provide new insights for ADHD diagnosis and treatment.

المؤلفون: Tian MY; Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China; Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, Luzhou, China; Nuclear Industry 416 Hospital, the 2nd Affiliated Hospital of Chengdu Medical College, Chengdu, China., Zhou XY; Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China; Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, Luzhou, China., Liao XY; Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China; Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, Luzhou, China., Gong K; Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China; Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, Luzhou, China., Cheng XT; Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China., Qin C; Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China; Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, Luzhou, China., Liu KZ; Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China., Chen J; Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China; Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, Luzhou, China. Electronic address: chenjing_fy@swmu.edu.cn., Lei W; Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China; Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, Luzhou, China. Electronic address: leiwei_fy@swmu.edu.cn.

المصدر: Progress in neuro-psychopharmacology & biological psychiatry [Prog Neuropsychopharmacol Biol Psychiatry] 2023 Dec 20; Vol. 127, pp. 110806. Date of Electronic Publication: 2023 Jun 03.

نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't

بيانات الدورية: Publisher: Pergamon Press Country of Publication: England NLM ID: 8211617 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-4216 (Electronic) Linking ISSN: 02785846 NLM ISO Abbreviation: Prog Neuropsychopharmacol Biol Psychiatry Subsets: MEDLINE

مواضيع طبية MeSH: Internet Addiction Disorder*/diagnostic imaging , Internet Addiction Disorder*/pathology , Limbic System*/diagnostic imaging , Limbic System*/pathology , Dopaminergic Neurons*/pathology , Gray Matter*/diagnostic imaging , Gray Matter*/pathology , White Matter*/diagnostic imaging, Magnetic Resonance Imaging ; Humans ; Male ; Young Adult

مستخلص: Aims: This study aimed to identify gray/white matter volume (GMV/WMV) alterations in Internet Gaming Disorder (IGD), with a special focus on the subregions of the mesocorticolimbic dopaminergic system and their clinical association.
Results: Compared with healthy controls, IGDs showed bigger GMV in the bilateral caudate and the left nucleus accumbens (NAc), and bigger WMV in the inferior parietal lobule. The comparison of regions of interest (ROI) confirmed increased GMV in the bilateral caudate (including the dorsal anterior, body, and tail) and the left core of NAc in IGD, but no significant WMV alterations in the mesocorticolimbic dopaminergic system. GMVs in the left lateral orbital gyrus of orbitofrontal cortex (OFC) were associated with craving for games, while GMVs in the left anterior insula, right NAc, right caudate, and right OFC were associated with self-control in IGD.
Conclusions: IGD was accompanied by changed GMV, but not WMV, in the mesocorticolimbic dopaminergic system. GMV in the mesocorticolimbic dopaminergic system may contribute to impaired self-control and craving in IGD.
Competing Interests: Declaration of Competing Interest None.
(Copyright © 2023 Elsevier Inc. All rights reserved.)

المؤلفون: Luu P; Brain Electrophysiology Laboratory Company, Riverfront Research Park, 1776 Millrace Dr., Eugene, OR 97403, United States.; Department of Psychology, University of Oregon, Eugene, OR 97403, United States., Tucker DM; Brain Electrophysiology Laboratory Company, Riverfront Research Park, 1776 Millrace Dr., Eugene, OR 97403, United States.; Department of Psychology, University of Oregon, Eugene, OR 97403, United States., Friston K; The Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, London WC1N 3AR, United Kingdom.; VERSES AI Research Lab, Los Angeles, CA 90016, USA.

المصدر: Cerebral cortex (New York, N.Y. : 1991) [Cereb Cortex] 2024 Jan 14; Vol. 34 (1).

نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't

بيانات الدورية: Publisher: Oxford University Press Country of Publication: United States NLM ID: 9110718 Publication Model: Print Cited Medium: Internet ISSN: 1460-2199 (Electronic) Linking ISSN: 10473211 NLM ISO Abbreviation: Cereb Cortex Subsets: MEDLINE

مواضيع طبية MeSH: Cerebral Cortex* , Limbic System*/physiology, Animals ; Amygdala ; Cognition/physiology ; Basal Ganglia/physiology ; Mammals

مستخلص: In previous papers, we proposed that the dorsal attention system's top-down control is regulated by the dorsal division of the limbic system, providing a feedforward or impulsive form of control generating expectancies during active inference. In contrast, we proposed that the ventral attention system is regulated by the ventral limbic division, regulating feedback constraints and error-correction for active inference within the neocortical hierarchy. Here, we propose that these forms of cognitive control reflect vertical integration of subcortical arousal control systems that evolved for specific forms of behavior control. The feedforward impetus to action is regulated by phasic arousal, mediated by lemnothalamic projections from the reticular activating system of the lower brainstem, and then elaborated by the hippocampus and dorsal limbic division. In contrast, feedback constraint-based on environmental requirements-is regulated by the tonic activation furnished by collothalamic projections from the midbrain arousal control centers, and then sustained and elaborated by the amygdala, basal ganglia, and ventral limbic division. In an evolutionary-developmental analysis, understanding these differing forms of active affordance-for arousal and motor control within the subcortical vertebrate neuraxis-may help explain the evolution of active inference regulating the cognition of expectancy and error-correction within the mammalian 6-layered neocortex.
(© The Author(s) 2023. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

المؤلفون: Santin MDN; Sorbonne Université, Institut du Cerveau-Paris Brain Institute- ICM, Inserm, CNRS, APHP, Hôpital de la Pitié Salpêtrière, 75013, Paris, France., Tempier N; Sorbonne Université, Institut du Cerveau-Paris Brain Institute- ICM, Inserm, CNRS, APHP, Hôpital de la Pitié Salpêtrière, 75013, Paris, France., Belaid H; Service de Neurochirurgie, Hôpital Fondation Adolphe de Rothschild, 29 rue Manin, Paris, France., Zenoni M; Sorbonne Université, Institut du Cerveau-Paris Brain Institute- ICM, Inserm, CNRS, APHP, Hôpital de la Pitié Salpêtrière, 75013, Paris, France., Dumas S; Oramacell, Paris, France., Wallén-Mackenzie Å; Department of Organismal Biology, Unit of Comparative Physiology, Uppsala University, S-756 32, Uppsala, Sweden., Bardinet E; Sorbonne Université, Institut du Cerveau-Paris Brain Institute- ICM, Inserm, CNRS, APHP, Hôpital de la Pitié Salpêtrière, 75013, Paris, France., Destrieux C; UMR Inserm U1253, IBrain, Université de Tours, Tours, France.; Laboratoire d'Anatomie, Faculté de Médecine, Université François Rabelais, Tours, France., François C; Sorbonne Université, Institut du Cerveau-Paris Brain Institute- ICM, Inserm, CNRS, APHP, Hôpital de la Pitié Salpêtrière, 75013, Paris, France., Karachi C; Sorbonne Université, Institut du Cerveau-Paris Brain Institute- ICM, Inserm, CNRS, APHP, Hôpital de la Pitié Salpêtrière, 75013, Paris, France. carine.karachi@gmail.com.; AP-HP, Hôpital de la Pitié-Salpêtrière, Service de Neurochirurgie, Paris, France. carine.karachi@gmail.com.

المصدر: Brain structure & function [Brain Struct Funct] 2023 Nov; Vol. 228 (8), pp. 1977-1992. Date of Electronic Publication: 2023 Sep 05.

نوع المنشور: Journal Article

بيانات الدورية: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 101282001 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1863-2661 (Electronic) Linking ISSN: 18632653 NLM ISO Abbreviation: Brain Struct Funct Subsets: MEDLINE

مواضيع طبية MeSH: Limbic System* , Basal Ganglia*, Humans ; Animals ; Brain ; Medial Forebrain Bundle ; Dopamine ; Macaca

مستخلص: Effective neural stimulation for the treatment of severe psychiatric disorders needs accurate characterisation of surgical targets. This is especially true for the medial subthalamic region (MSR) which contains three targets: the anteromedial STN for obsessive compulsive disorder (OCD), the medial forebrain bundle (MFB) for depression and OCD, and the "Sano triangle" for pathological aggressiveness. Blocks containing the subthalamic area were obtained from two human brains. After obtaining 11.7-Tesla MRI, blocks were cut in regular sections for immunohistochemistry. Fluorescent in situ hybridisation was performed on the macaque MSR. Electron microscopic observation for synaptic specialisation was performed on human and macaque subthalamic fresh samples. Images of human brain sections were reconstructed in a cryoblock which was registered on the MRI and histological slices were then registered. The STN contains glutamatergic and fewer GABAergic neurons and has no strict boundary with the adjacent MSR. The anteromedial STN has abundant dopaminergic and serotoninergic innervation with very sparse dopaminergic neurons. The MFB is composed of dense anterior dopaminergic and posterior serotoninergic fibres, and fewer cholinergic and glutamatergic fibres. Medially, the Sano triangle presumably contains orexinergic terminals from the hypothalamus, and neurons with strong nuclear oestrogen receptor-alpha staining with a decreased anteroposterior and mediolateral gradient of staining. These findings provide new insight regarding MSR cells and their fibre specialisation, forming a transition zone between the basal ganglia and the limbic systems. Our 3D reconstruction enabled us to visualize the main histological features of the three targets which should enable better targeting and understanding of neuromodulatory stimulation results in severe psychiatric conditions.
(© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

المؤلفون: Guo Z; Neuroscience Institute, New York University Grossman School of Medicine, New York, NY 10016, USA; School of Life Sciences, Peking University, Beijing 100871, China., Yin L; Neuroscience Institute, New York University Grossman School of Medicine, New York, NY 10016, USA., Diaz V; Neuroscience Institute, New York University Grossman School of Medicine, New York, NY 10016, USA., Dai B; Neuroscience Institute, New York University Grossman School of Medicine, New York, NY 10016, USA., Osakada T; Neuroscience Institute, New York University Grossman School of Medicine, New York, NY 10016, USA., Lischinsky JE; Neuroscience Institute, New York University Grossman School of Medicine, New York, NY 10016, USA., Chien J; Department of Psychiatry, Department of Neuroscience and Physiology, New York University Grossman School of Medicine, Center for Neural Science, New York University, New York, NY 10016, USA., Yamaguchi T; Neuroscience Institute, New York University Grossman School of Medicine, New York, NY 10016, USA., Urtecho A; Neuroscience Institute, New York University Grossman School of Medicine, New York, NY 10016, USA., Tong X; Neuroscience Institute, New York University Grossman School of Medicine, New York, NY 10016, USA., Chen ZS; Neuroscience Institute, New York University Grossman School of Medicine, New York, NY 10016, USA; Department of Psychiatry, Department of Neuroscience and Physiology, New York University Grossman School of Medicine, Center for Neural Science, New York University, New York, NY 10016, USA; Department of Biomedical Engineering, New York University Tandon School of Engineering, New York, NY 11201, USA., Lin D; Neuroscience Institute, New York University Grossman School of Medicine, New York, NY 10016, USA; Department of Psychiatry, Department of Neuroscience and Physiology, New York University Grossman School of Medicine, Center for Neural Science, New York University, New York, NY 10016, USA. Electronic address: dayu.lin@nyulangone.org.

المصدر: Neuron [Neuron] 2023 Oct 18; Vol. 111 (20), pp. 3288-3306.e4. Date of Electronic Publication: 2023 Aug 15.

نوع المنشور: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't

بيانات الدورية: Publisher: Cell Press Country of Publication: United States NLM ID: 8809320 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-4199 (Electronic) Linking ISSN: 08966273 NLM ISO Abbreviation: Neuron Subsets: MEDLINE

مواضيع طبية MeSH: Social Behavior* , Limbic System*/physiology, Male ; Animals ; Mice ; Aggression/physiology ; Sexual Behavior, Animal/physiology

مستخلص: Sexual and aggressive behaviors are vital for species survival and individual reproductive success. Although many limbic regions have been found relevant to these behaviors, how social cues are represented across regions and how the network activity generates each behavior remains elusive. To answer these questions, we utilize multi-fiber photometry (MFP) to simultaneously record Ca ²⁺ signals of estrogen receptor alpha (Esr1)-expressing cells from 13 limbic regions in male mice during mating and fighting. We find that conspecific sensory information and social action signals are widely distributed in the limbic system and can be decoded from the network activity. Cross-region correlation analysis reveals striking increases in the network functional connectivity during the social action initiation phase, whereas late copulation is accompanied by a "dissociated" network state. Based on the response patterns, we propose a mating-biased network (MBN) and an aggression-biased network (ABN) for mediating male sexual and aggressive behaviors, respectively.
Competing Interests: Declaration of interests The authors declare no competing interests.
(Copyright © 2023 Elsevier Inc. All rights reserved.)

المؤلفون: Noh E; College of Medicine, Inha University, Incheon, Republic of Korea., Namgung JY; Department of Data Science, Inha University, Incheon, Republic of Korea., Park Y; Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Republic of Korea., Jang Y; Department of Statistics and Data Science, Inha University, Incheon, Republic of Korea., Lee MJ; Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea. mijilee.md@snu.ac.kr., Park BY; Department of Data Science, Inha University, Incheon, Republic of Korea. boyong.park@inha.ac.kr.; Department of Statistics and Data Science, Inha University, Incheon, Republic of Korea. boyong.park@inha.ac.kr.; Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea. boyong.park@inha.ac.kr.

المصدر: The journal of headache and pain [J Headache Pain] 2024 Jun 11; Vol. 25 (1), pp. 99. Date of Electronic Publication: 2024 Jun 11.

نوع المنشور: Journal Article

بيانات الدورية: Publisher: BioMed Central Country of Publication: England NLM ID: 100940562 Publication Model: Electronic Cited Medium: Internet ISSN: 1129-2377 (Electronic) Linking ISSN: 11292369 NLM ISO Abbreviation: J Headache Pain Subsets: MEDLINE

مواضيع طبية MeSH: Migraine Disorders*/diagnostic imaging , Migraine Disorders*/pathology , Connectome*/methods, Humans ; Female ; Adult ; Male ; Limbic System/diagnostic imaging ; Limbic System/pathology ; Diffusion Tensor Imaging/methods ; Young Adult

مستخلص: Migraine is a complex neurological condition characterized by recurrent headaches, which is often accompanied by various neurological symptoms. Magnetic resonance imaging (MRI) is a powerful tool for investigating whole-brain connectivity patterns; however, systematic assessment of structural connectome organization has rarely been performed. In the present study, we aimed to examine the changes in structural connectivity in patients with episodic migraines using diffusion MRI. First, we computed structural connectivity using diffusion MRI tractography, after which we applied dimensionality reduction techniques to the structural connectivity and generated three low-dimensional eigenvectors. We subsequently calculated the manifold eccentricity, defined as the Euclidean distance between each data point and the center of the data in the manifold space. We then compared the manifold eccentricity between patients with migraines and healthy controls, revealing significant between-group differences in the orbitofrontal cortex, temporal pole, and sensory/motor regions. Between-group differences in subcortico-cortical connectivity further revealed significant changes in the amygdala, accumbens, and caudate nuclei. Finally, supervised machine learning effectively classified patients with migraines and healthy controls using cortical and subcortical structural connectivity features, highlighting the importance of the orbitofrontal and sensory cortices, in addition to the caudate, in distinguishing between the groups. Our findings confirmed that episodic migraine is related to the structural connectome changes in the limbic and sensory systems, suggesting its potential utility as a diagnostic marker for migraine.
(© 2024. The Author(s).)

المؤلفون: Nemati SS; Department of Biology, Faculty of Natural Sciences, University of Tabriz, 51666-16471 Tabriz, Iran., Sadeghi L; Department of Biology, Faculty of Natural Sciences, University of Tabriz, 51666-16471 Tabriz, Iran. Electronic address: l.sadeghi@tabrizu.ac.ir., Dehghan G; Department of Biology, Faculty of Natural Sciences, University of Tabriz, 51666-16471 Tabriz, Iran. Electronic address: gdehghan@tabrizu.ac.ir., Sheibani N; Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, USA.

المصدر: Behavioural brain research [Behav Brain Res] 2023 Oct 02; Vol. 454, pp. 114657. Date of Electronic Publication: 2023 Sep 07.

نوع المنشور: Journal Article; Review

بيانات الدورية: Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 8004872 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7549 (Electronic) Linking ISSN: 01664328 NLM ISO Abbreviation: Behav Brain Res Subsets: MEDLINE

مواضيع طبية MeSH: Hippocampus* , Limbic System*, Animals ; Humans ; Temporal Lobe ; Cerebral Cortex ; Brain ; Mammals

مستخلص: The hippocampus is a part of the brain's medial temporal lobe that is located under the cortex. It belongs to the limbic system and helps to collect and transfer information from short-term to long-term memory, as well as spatial orientation in each mammalian brain hemisphere. After more than two centuries of research in brain asymmetry, the hippocampus has attracted much attention in the study of brain lateralization. The hippocampus is very important in cognitive disorders, related to seizures and dementia, such as epilepsy and Alzheimer's disease. In addition, the motivation to study the hippocampus has increased significantly due to the asymmetry in the activity of the left and right hippocampi in healthy people, and its disruption during some neurological diseases. After a general review of the hippocampal structure and its importance in related diseases, the asymmetry in the brain with a focus on the hippocampus during the growth and maturation of healthy people, as well as the differences created in patients at the molecular, functional, and physiological levels are discussed. Most previous work indicates that the hippocampus is lateralized in healthy people. Also, lateralization at different levels remarkably changes in patients, and it appears that the most complex cognitive disorder is caused by a new dominant asymmetric system.
(Copyright © 2023 Elsevier B.V. All rights reserved.)

المؤلفون: Luo J; Faculty of Psychology, Southwest University, Chongqing, 400715, China; Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, 400715, China., Liu Y; Faculty of Psychology, Southwest University, Chongqing, 400715, China; Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, 400715, China., Guo K; Faculty of Psychology, Southwest University, Chongqing, 400715, China; Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, 400715, China., Ren X; Faculty of Psychology, Southwest University, Chongqing, 400715, China; Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, 400715, China., Wei Z; Faculty of Psychology, Southwest University, Chongqing, 400715, China; Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, 400715, China., Ren Y; Faculty of Psychology, Southwest University, Chongqing, 400715, China; Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, 400715, China., Hu W; Faculty of Psychology, Southwest University, Chongqing, 400715, China; Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, 400715, China., Yang J; Faculty of Psychology, Southwest University, Chongqing, 400715, China; Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, 400715, China. Electronic address: valleyqq@swu.edu.cn.

المصدر: Neuropsychologia [Neuropsychologia] 2023 Sep 09; Vol. 188, pp. 108620. Date of Electronic Publication: 2023 Jun 12.

نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't

بيانات الدورية: Publisher: Pergamon Press Country of Publication: England NLM ID: 0020713 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-3514 (Electronic) Linking ISSN: 00283932 NLM ISO Abbreviation: Neuropsychologia Subsets: MEDLINE

مواضيع طبية MeSH: Prefrontal Cortex*/diagnostic imaging , Limbic System*, Humans ; Emotions ; Hippocampus/diagnostic imaging ; Magnetic Resonance Imaging

مستخلص: Empirical evidence indicates that high interdependent self-construal (InterSC) is correlated with exaggerated acute stress responses; however, the underlying neural correlates remain unclear. Considering the regulatory effect of the prefrontal cortex and limbic system on the acute stress response, the primary aim of this study was to investigate the role of the orbitofrontal cortex (OFC) and hippocampus (HIP) in the relationship between InterSC and acute stress responses. Forty-eight healthy college students underwent a modified version of the Montreal imaging stress task (MIST), while brain activity was recorded using functional magnetic resonance imaging (fMRI). Participants' saliva samples and subjective stress feelings were collected before, during, and after the MIST. Additionally, participants' self-construal was measured using questionnaires. Results revealed that InterSC was positively correlated with the activation of OFC, which, in turn, was associated with higher subjective stress feelings. A higher InterSC was also significantly associated with an enhanced salivary cortisol response in those with lower HIP activity. Furthermore, the HIP moderated the indirect effect of InterSC on subjective stress feelings by moderating the effect of InterSC on neural activity in the OFC. This indicated the mediation of the OFC was stronger in those with higher neural activity in the HIP than in those with lower activity in the HIP. In summary, the current study proposed an important role of the OFC-HIP regions in the relationship between InterSC and acute stress responses, making contribution to broadening the field of personality and stress and deepening our understanding of individual differences in acute stress responses.
Competing Interests: Declarations of competing interest The authors declare no conflict of interest.None.
(Copyright © 2023. Published by Elsevier Ltd.)