1
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Mather M. The emotion paradox in the aging body and brain. Ann N Y Acad Sci 2024; 1536:13-41. [PMID: 38676452 DOI: 10.1111/nyas.15138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/29/2024]
Abstract
With age, parasympathetic activity decreases, while sympathetic activity increases. Thus, the typical older adult has low heart rate variability (HRV) and high noradrenaline levels. Younger adults with this physiological profile tend to be unhappy and stressed. Yet, with age, emotional experience tends to improve. Why does older adults' emotional well-being not suffer as their HRV decreases? To address this apparent paradox, I present the autonomic compensation model. In this model, failing organs, the initial phases of Alzheimer's pathology, and other age-related diseases trigger noradrenergic hyperactivity. To compensate, older brains increase autonomic regulatory activity in the pregenual prefrontal cortex (PFC). Age-related declines in nerve conduction reduce the ability of the pregenual PFC to reduce hyperactive noradrenergic activity and increase peripheral HRV. But these pregenual PFC autonomic compensation efforts have a significant impact in the brain, where they bias processing in favor of stimuli that tend to increase parasympathetic activity (e.g., stimuli that increase feelings of safety) and against stimuli that tend to increase sympathetic activity (e.g., threatening stimuli). In summary, the autonomic compensation model posits that age-related chronic sympathetic/noradrenergic hyperactivity stimulates regulatory attempts that have the side effect of enhancing emotional well-being.
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Affiliation(s)
- Mara Mather
- Leonard Davis School of Gerontology, Department of Psychology, and Department of Biomedical Engineering, University of Southern California, Los Angeles, California, USA
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2
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Young ME, Spencer-Salmon C, Mosher C, Tamang S, Rajan K, Rudebeck PH. Temporally specific patterns of neural activity in interconnected corticolimbic structures during reward anticipation. Neuron 2023; 111:3668-3682.e5. [PMID: 37586366 PMCID: PMC10840822 DOI: 10.1016/j.neuron.2023.07.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 04/25/2023] [Accepted: 07/20/2023] [Indexed: 08/18/2023]
Abstract
Functional neuroimaging studies indicate that interconnected parts of the subcallosal anterior cingulate cortex (ACC), striatum, and amygdala play a fundamental role in affect in health and disease. Yet, although the patterns of neural activity engaged in the striatum and amygdala during affective processing are well established, especially during reward anticipation, less is known about subcallosal ACC. Here, we recorded neural activity in non-human primate subcallosal ACC and compared this with interconnected parts of the basolateral amygdala and rostromedial striatum while macaque monkeys performed reward-based tasks. Applying multiple analysis approaches, we found that neurons in subcallosal ACC and rostromedial striatum preferentially signal anticipated reward using short bursts of activity that form temporally specific patterns. By contrast, the basolateral amygdala uses a mixture of both temporally specific and more sustained patterns of activity to signal anticipated reward. Thus, dynamic patterns of neural activity across populations of neurons are engaged in affect, especially in subcallosal ACC.
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Affiliation(s)
- Megan E Young
- Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Camille Spencer-Salmon
- Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Clayton Mosher
- Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Sarita Tamang
- Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Kanaka Rajan
- Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Peter H Rudebeck
- Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA.
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3
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Tossell K, Yu X, Giannos P, Anuncibay Soto B, Nollet M, Yustos R, Miracca G, Vicente M, Miao A, Hsieh B, Ma Y, Vyssotski AL, Constandinou T, Franks NP, Wisden W. Somatostatin neurons in prefrontal cortex initiate sleep-preparatory behavior and sleep via the preoptic and lateral hypothalamus. Nat Neurosci 2023; 26:1805-1819. [PMID: 37735497 PMCID: PMC10545541 DOI: 10.1038/s41593-023-01430-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 08/14/2023] [Indexed: 09/23/2023]
Abstract
The prefrontal cortex (PFC) enables mammals to respond to situations, including internal states, with appropriate actions. One such internal state could be 'tiredness'. Here, using activity tagging in the mouse PFC, we identified particularly excitable, fast-spiking, somatostatin-expressing, γ-aminobutyric acid (GABA) (PFCSst-GABA) cells that responded to sleep deprivation. These cells projected to the lateral preoptic (LPO) hypothalamus and the lateral hypothalamus (LH). Stimulating PFCSst-GABA terminals in the LPO hypothalamus caused sleep-preparatory behavior (nesting, elevated theta power and elevated temperature), and stimulating PFCSst-GABA terminals in the LH mimicked recovery sleep (non-rapid eye-movement sleep with higher delta power and lower body temperature). PFCSst-GABA terminals had enhanced activity during nesting and sleep, inducing inhibitory postsynaptic currents on diverse cells in the LPO hypothalamus and the LH. The PFC also might feature in deciding sleep location in the absence of excessive fatigue. These findings suggest that the PFC instructs the hypothalamus to ensure that optimal sleep takes place in a suitable place.
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Affiliation(s)
- Kyoko Tossell
- Department of Life Sciences, Imperial College London, London, UK
| | - Xiao Yu
- Department of Life Sciences, Imperial College London, London, UK
- Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | | | - Berta Anuncibay Soto
- Department of Life Sciences, Imperial College London, London, UK
- UK Dementia Research Institute, Imperial College London, London, UK
| | - Mathieu Nollet
- Department of Life Sciences, Imperial College London, London, UK
- UK Dementia Research Institute, Imperial College London, London, UK
| | - Raquel Yustos
- Department of Life Sciences, Imperial College London, London, UK
| | - Giulia Miracca
- Department of Life Sciences, Imperial College London, London, UK
| | - Mikal Vicente
- Department of Life Sciences, Imperial College London, London, UK
| | - Andawei Miao
- Department of Life Sciences, Imperial College London, London, UK
- UK Dementia Research Institute, Imperial College London, London, UK
| | - Bryan Hsieh
- Department of Life Sciences, Imperial College London, London, UK
- Department of Electrical and Electronic Engineering, Imperial College London, London, UK
- Center for Neurotechnology, Imperial College London, London, UK
| | - Ying Ma
- Department of Life Sciences, Imperial College London, London, UK
| | - Alexei L Vyssotski
- Institute of Neuroinformatics, University of Zürich-ETH Zürich, Zürich, Switzerland
| | - Tim Constandinou
- Department of Electrical and Electronic Engineering, Imperial College London, London, UK
- Center for Neurotechnology, Imperial College London, London, UK
- Care Research and Technology Centre, UK Dementia Research Institute, London, UK
| | - Nicholas P Franks
- Department of Life Sciences, Imperial College London, London, UK.
- UK Dementia Research Institute, Imperial College London, London, UK.
- Center for Neurotechnology, Imperial College London, London, UK.
| | - William Wisden
- Department of Life Sciences, Imperial College London, London, UK.
- UK Dementia Research Institute, Imperial College London, London, UK.
- Center for Neurotechnology, Imperial College London, London, UK.
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4
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Li Y, Kang B, Zhao X, Cui X, Chen J, Wang L. Association between depression and dysmenorrhea among adolescent girls: multiple mediating effects of binge eating and sleep quality. BMC Womens Health 2023; 23:140. [PMID: 36978063 PMCID: PMC10043526 DOI: 10.1186/s12905-023-02283-6] [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: 12/26/2022] [Accepted: 03/15/2023] [Indexed: 03/30/2023] Open
Abstract
BACKGROUND Dysmenorrhea has a significant negative impact on teenagers' quality of life, and its prevalence is increasing annually. Although studies have explored the factors affecting dysmenorrhea, it remains unclear how these factors interact with one another. This study aimed to explore the mediating role of binge eating and sleep quality between depression and dysmenorrhea. METHODS This cross-sectional study recruited adolescent girls from the Health Status Survey of adolescents in Jinan, Shandong Province, and used multistage stratified cluster random sampling. Data was collected using an electronic questionnaire between March 9, 2022, and June 20, 2022. The Numerical Rating Scale and Cox Menstrual Symptom Scale were used to assess dysmenorrhea and the Patient Health Questionnaire-9 to assess depression. The mediation model was tested by Mplus 8.0, and the mediating effect was analyzed using the Product of Coefficients approach and the Bootstrap method. RESULTS Among the total of 7818 adolescent girls included in this study, the prevalence of dysmenorrhea is 60.5%. A significant positive association was found between dysmenorrhea and depression. Binge eating and sleep quality seemingly mediate this association. The mediating effect of sleep quality (21.31%) was greater than that of binge eating (6.18%). CONCLUSIONS The findings of this study point in the right direction for preventing and treating dysmenorrhea in adolescents. For adolescent dysmenorrhea, mental health should be considered and proactive steps taken for educating adolescents on healthy lifestyles to reduce negative consequences of dysmenorrhea. Longitudinal studies on the causal link and influence mechanisms between depression and dysmenorrhea should be conducted in the future.
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Affiliation(s)
- Yingzhen Li
- Department of Maternal and Child Health, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Baixue Kang
- Department of Maternal and Child Health, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Xueyan Zhao
- Department of Maternal and Child Health, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Xuena Cui
- Department of Maternal and Child Health, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Jie Chen
- Department of Maternal and Child Health, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
| | - Lijie Wang
- Department of Obstetrics and Gynecology, Qilu Hospital, Shandong University, Jinan, 250012, Shandong, China.
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5
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Yin R, Li L, Xu L, Sui W, Niu M, Xu R, Srirat C. Association between depression and sleep quality in patients with systemic lupus erythematosus: a systematic review and meta-analysis. Sleep Breath 2021; 26:429-441. [PMID: 34032968 PMCID: PMC8857107 DOI: 10.1007/s11325-021-02405-0] [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: 03/28/2021] [Revised: 05/10/2021] [Accepted: 05/15/2021] [Indexed: 12/25/2022]
Abstract
Background Currently, there is no consistent understanding of the relationship between depression and sleep quality in patients with systemic lupus erythematosus (SLE). This study aimed to explore the correlation between depression and sleep quality in SLE patients. Methods Five English (PubMed, Web of Science, EMBASE, Cochrane Library, and CINAHL) databases were systematically searched from inception to January 12, 2021. Two authors independently screened publications and extracted data according to set inclusion and exclusion criteria. Statistical analyses were performed with STATA 16.0. Data were pooled using a random-effects model. Results A total of 9 identified studies matched the inclusion criteria, reporting on 514 patients with SLE in the analysis. A moderate correlation of depression with sleep quality was found (pooled r = 0.580 [0.473, 0.670]). Compared to good sleepers, patients with SLE and poor sleep quality had higher levels of depression (standardized mean difference = − 1.28 [− 1.87, − 0.69]). Depression was associated with subjective sleep quality (r = 0.332 [0.009, 0.592]), sleep latency (r = 0.412 [0.101, 0.649]), sleep disturbances (r = 0.405 [0.094, 0.645]), daytime dysfunction (r = 0.503 [0.214, 0.711]), the four dimensions of Pittsburgh Sleep Quality Index (PSQI), while no significant correlation was found in the other three PSQI dimensions. Conclusion Depression had a moderate correlation with sleep quality in patients with SLE. Patients with poor sleep quality tended to have higher level of depression than that of good sleepers. Awareness of the correlation may help rheumatology physicians and nurses to assess and prevent depression and improve sleep quality in patients with SLE.
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Affiliation(s)
- Rulan Yin
- Department of Rheumatology, The First Affiliated Hospital of Soochow University, 899th Pinghai Road, Suzhou, 215006, China
- Faculty of Nursing, Chiang Mai University, 110/406 Inthavaroros Road, Suthep, Muang District, Chiangmai, 50200, Thailand
| | - Lin Li
- School of Nursing, Taizhou Polytechnic College, Taizhou, China
| | - Lan Xu
- Department of Nursing, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Wenjie Sui
- Department of Nursing, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Mei'e Niu
- Department of Nursing, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Rong Xu
- Department of Rheumatology, The First Affiliated Hospital of Soochow University, 899th Pinghai Road, Suzhou, 215006, China.
| | - Chomphoonut Srirat
- Faculty of Nursing, Chiang Mai University, 110/406 Inthavaroros Road, Suthep, Muang District, Chiangmai, 50200, Thailand.
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6
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Filatova EV, Shadrina MI, Slominsky PA. Major Depression: One Brain, One Disease, One Set of Intertwined Processes. Cells 2021; 10:cells10061283. [PMID: 34064233 PMCID: PMC8224372 DOI: 10.3390/cells10061283] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 05/17/2021] [Accepted: 05/19/2021] [Indexed: 01/18/2023] Open
Abstract
Major depressive disorder (MDD) is a heterogeneous disease affecting one out of five individuals and is the leading cause of disability worldwide. Presently, MDD is considered a multifactorial disease with various causes such as genetic susceptibility, stress, and other pathological processes. Multiple studies allowed the formulation of several theories attempting to describe the development of MDD. However, none of these hypotheses are comprehensive because none of them can explain all cases, mechanisms, and symptoms of MDD. Nevertheless, all of these theories share some common pathways, which lead us to believe that these hypotheses depict several pieces of the same big puzzle. Therefore, in this review, we provide a brief description of these theories and their strengths and weaknesses in an attempt to highlight the common mechanisms and relationships of all major theories of depression and combine them together to present the current overall picture. The analysis of all hypotheses suggests that there is interdependence between all the brain structures and various substances involved in the pathogenesis of MDD, which could be not entirely universal, but can affect all of the brain regions, to one degree or another, depending on the triggering factor, which, in turn, could explain the different subtypes of MDD.
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7
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Rolls ET, Cheng W, Gong W, Qiu J, Zhou C, Zhang J, Lv W, Ruan H, Wei D, Cheng K, Meng J, Xie P, Feng J. Functional Connectivity of the Anterior Cingulate Cortex in Depression and in Health. Cereb Cortex 2020; 29:3617-3630. [PMID: 30418547 DOI: 10.1093/cercor/bhy236] [Citation(s) in RCA: 72] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Revised: 08/27/2018] [Accepted: 08/31/2018] [Indexed: 12/22/2022] Open
Abstract
The first voxel-level resting-state functional connectivity (FC) neuroimaging analysis of depression of the anterior cingulate cortex (ACC) showed in 282 patients with major depressive disorder compared with 254 controls, some higher, and some lower FCs. However, in 125 unmedicated patients, primarily increases of FC were found: of the subcallosal anterior cingulate with the lateral orbitofrontal cortex, of the pregenual/supracallosal anterior cingulate with the medial orbitofrontal cortex, and of parts of the anterior cingulate with the inferior frontal gyrus, superior parietal lobule, and with early cortical visual areas. In the 157 medicated patients, these and other FCs were lower than in the unmedicated group. Parcellation was performed based on the FC of individual ACC voxels in healthy controls. A pregenual subdivision had high FC with medial orbitofrontal cortex areas, and a supracallosal subdivision had high FC with lateral orbitofrontal cortex and inferior frontal gyrus. The high FC in depression between the lateral orbitofrontal cortex and the subcallosal parts of the ACC provides a mechanism for more non-reward information transmission to the ACC, contributing to depression. The high FC between the medial orbitofrontal cortex and supracallosal ACC in depression may also contribute to depressive symptoms.
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Affiliation(s)
- Edmund T Rolls
- Department of Computer Science, University of Warwick, Coventry, UK.,Oxford Centre for Computational Neuroscience, Oxford, UK
| | - Wei Cheng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Weikang Gong
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China.,Department of Psychology, Southwest University, Chongqing, China
| | - Chanjuan Zhou
- Institute of Neuroscience, Chongqing Medical University, Chongqing, China.,Department of Neurology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China
| | - Jie Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Wujun Lv
- School of Mathematics, Shanghai University Finance and Economics, Shanghai, PR China
| | - Hongtao Ruan
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.,School of Mathematical Sciences, School of Life Science and the Collaborative Innovation Center for Brain Science, Fudan University, Shanghai, PR China
| | - Dongtao Wei
- Department of Psychology, Southwest University, Chongqing, China
| | - Ke Cheng
- Institute of Neuroscience, Chongqing Medical University, Chongqing, China.,College of Basic Medical Sciences, Chongqing Medical University, Chongqing, China
| | - Jie Meng
- Department of Psychology, Southwest University, Chongqing, China
| | - Peng Xie
- Institute of Neuroscience, Chongqing Medical University, Chongqing, China.,Chongqing Key Laboratory of Neurobiology, Chongqing, China.,Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jianfeng Feng
- Department of Computer Science, University of Warwick, Coventry, UK.,Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.,School of Mathematical Sciences, School of Life Science and the Collaborative Innovation Center for Brain Science, Fudan University, Shanghai, PR China
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8
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Patel SR, Ballesteros JJ, Ahmed OJ, Huang P, Briscoe J, Eskandar EN, Ishizawa Y. Dynamics of recovery from anaesthesia-induced unconsciousness across primate neocortex. Brain 2020; 143:833-843. [PMID: 32049333 DOI: 10.1093/brain/awaa017] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Revised: 10/07/2019] [Accepted: 12/08/2019] [Indexed: 12/11/2022] Open
Abstract
How the brain recovers from general anaesthesia is poorly understood. Neurocognitive problems during anaesthesia recovery are associated with an increase in morbidity and mortality in patients. We studied intracortical neuronal dynamics during transitions from propofol-induced unconsciousness into consciousness by directly recording local field potentials and single neuron activity in a functionally and anatomically interconnecting somatosensory (S1, S2) and ventral premotor (PMv) network in primates. Macaque monkeys were trained for a behavioural task designed to determine trial-by-trial alertness and neuronal response to tactile and auditory stimulation. We found that neuronal dynamics were dissociated between S1 and higher-order PMv prior to return of consciousness. The return of consciousness was distinguishable by a distinctive return of interregionally coherent beta oscillations and disruption of the slow-delta oscillations. Clustering analysis demonstrated that these state transitions between wakefulness and unconsciousness were rapid and unstable. In contrast, return of pre-anaesthetic task performance was observed with a gradual increase in the coherent beta oscillations. We also found that recovery end points significantly varied intra-individually across sessions, as compared to a rather consistent loss of consciousness time. Recovery of single neuron multisensory responses appeared to be associated with the time of full performance recovery rather than the length of recovery time. Similar to loss of consciousness, return of consciousness was identified with an abrupt shift of dynamics and the regions were dissociated temporarily during the transition. However, the actual dynamics change during return of consciousness is not simply an inverse of loss of consciousness, suggesting a unique process.
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Affiliation(s)
- Shaun R Patel
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston MA, USA
| | - Jesus J Ballesteros
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston MA, USA
| | - Omar J Ahmed
- Departments of Psychology, Neuroscience and Biomedical Engineering, University of Michigan, Ann Arbor MI, USA
| | - Pamela Huang
- Department of Anesthesia and Perioperative Care, University of California San Francisco, San Francisco CA, USA
| | - Jessica Briscoe
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston MA, USA
| | - Emad N Eskandar
- Departments of Neurological Surgery, Neuroscience, Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx NY, USA
| | - Yumiko Ishizawa
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston MA, USA
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9
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Tish MM, Geerling JC. The Brain and the Bladder: Forebrain Control of Urinary (In)Continence. Front Physiol 2020; 11:658. [PMID: 32719609 PMCID: PMC7349519 DOI: 10.3389/fphys.2020.00658] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Accepted: 05/25/2020] [Indexed: 12/11/2022] Open
Abstract
Neural circuits extending from the cerebral cortex to the bladder maintain urinary continence and allow voiding when it is socially appropriate. Injuries to certain brain regions produce a specific disruption known as urge incontinence. This neurologic symptom is distinguished by bladder spasticity, with sudden urges to void and frequent inability to maintain continence. The precise localization of neural circuit disruptions responsible for urge incontinence remains poorly defined, partly because the brain regions, cell types, and circuit connections that normally maintain continence are unknown. Here, we review what is known about the micturition reflex circuit and about forebrain control of continence from experimental animal studies and human lesion data. Based on this information, we hypothesize that urge incontinence results from damage to a descending pathway that normally maintains urinary continence. This pathway begins with excitatory neurons in the prefrontal cortex and relays subcortically, through inhibitory neurons that may help suppress reflex micturition during sleep and until it is safe and socially appropriate to void. Identifying the specific cell types and circuit connections that constitute the continence-promoting pathway, from the forebrain to the brainstem, will help us better understand why some brain lesions and neurodegenerative diseases disrupt continence. This information is needed to pave the way toward better treatments for neurologic patients suffering from urge incontinence.
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Affiliation(s)
- Margaret M Tish
- Department of Neurology, University of Iowa, Iowa City, IA, United States
| | - Joel C Geerling
- Department of Neurology, University of Iowa, Iowa City, IA, United States
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10
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Cheng W, Rolls ET, Ruan H, Feng J. Functional Connectivities in the Brain That Mediate the Association Between Depressive Problems and Sleep Quality. JAMA Psychiatry 2018; 75:1052-1061. [PMID: 30046833 PMCID: PMC6233808 DOI: 10.1001/jamapsychiatry.2018.1941] [Citation(s) in RCA: 155] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
IMPORTANCE Depression is associated with poor sleep quality. Understanding the neural connectivity that underlies both conditions and mediates the association between them is likely to lead to better-directed treatments for depression and associated sleep problems. OBJECTIVE To identify the brain areas that mediate the association of depressive symptoms with poor sleep quality and advance understanding of the differences in brain connectivity in depression. DESIGN, SETTING, AND PARTICIPANTS This study collected data from participants in the Human Connectome Project using the Adult Self-report of Depressive Problems portion of the Achenbach Adult Self-Report for Ages 18-59, a survey of self-reported sleep quality, and resting-state functional magnetic resonance imaging. Cross-validation of the sleep findings was conducted in 8718 participants from the UK Biobank. MAIN OUTCOMES AND MEASURES Correlations between functional connectivity, scores on the Adult Self-Report of Depressive Problems, and sleep quality. RESULTS A total of 1017 participants from the Human Connectome Project (of whom 546 [53.7%] were female; age range, 22 to 35 years) drawn from a general population in the United States were included. The Depressive Problems score was positively correlated with poor sleep quality (r = 0.371; P < .001). A total of 162 functional connectivity links involving areas associated with sleep, such as the precuneus, anterior cingulate cortex, and the lateral orbitofrontal cortex, were identified. Of these links, 39 were also associated with the Depressive Problems scores. The brain areas with increased functional connectivity associated with both sleep and Depressive Problems scores included the lateral orbitofrontal cortex, dorsolateral prefrontal cortex, anterior and posterior cingulate cortices, insula, parahippocampal gyrus, hippocampus, amygdala, temporal cortex, and precuneus. A mediation analysis showed that these functional connectivities underlie the association of the Depressive Problems score with poor sleep quality (β = 0.0139; P < .001). CONCLUSIONS AND RELEVANCE The implication of these findings is that the increased functional connectivity between these brain regions provides a neural basis for the association between depression and poor sleep quality. An important finding was that the Depressive Problems scores in this general population were correlated with functional connectivities between areas, including the lateral orbitofrontal cortex, cingulate cortex, precuneus, angular gyrus, and temporal cortex. The findings have implications for the treatment of depression and poor sleep quality.
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Affiliation(s)
- Wei Cheng
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
| | - Edmund T. Rolls
- Department of Computer Science, University of Warwick, Coventry, United Kingdom,Oxford Centre for Computational Neuroscience, Oxford, United Kingdom
| | - Hongtao Ruan
- School of Mathematical Sciences, Fudan University, Shanghai, China
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China,Department of Computer Science, University of Warwick, Coventry, United Kingdom,School of Mathematical Sciences, Fudan University, Shanghai, China,School of Life Science, Fudan University, Shanghai, China,The Collaborative Innovation Center for Brain Science, Fudan University, Shanghai, China
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11
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Zhang S, Wang W, Zhornitsky S, Li CSR. Resting State Functional Connectivity of the Lateral and Medial Hypothalamus in Cocaine Dependence: An Exploratory Study. Front Psychiatry 2018; 9:344. [PMID: 30100886 PMCID: PMC6072838 DOI: 10.3389/fpsyt.2018.00344] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Accepted: 07/09/2018] [Indexed: 12/21/2022] Open
Abstract
The role of dopamine in cocaine misuse has been extensively documented for the mesocorticolimbic circuit. Preclinical work from earlier lesion studies to recent multidisciplinary investigations has suggested that the hypothalamus is critically involved in motivated behavior, with the lateral and medial hypothalamus each involved in waking/feeding and resting/satiety. However, little is known of hypothalamus function and dysfunction in cocaine misuse. Here, we examined resting state functional connectivity of the lateral and medial hypothalamus in 70 individuals with cocaine dependence (CD) and 70 age as well as gender matched healthy controls (HC). Image pre-processing and analyses followed published work. Compared to HC, CD showed increased lateral hypothalamic connectivity with dorsolateral prefrontal cortex and decreased functional connectivity with the ventral precuneus. CD showed increased medial hypothalamic connectivity with the inferior parietal lobule and decreased connectivity with the ventromedial prefrontal cortex, temporal gyrus, fusiform gyrus, and ventral striatum. Further, at trend level significance, the connectivity strength between lateral hypothalamus and dorsolateral prefrontal cortex was positively correlated with total amount of cocaine use in the past month (p = 0.004, r = 0.35) and the connectivity strength between medial hypothalamus and ventral striatum was negatively correlated with cocaine craving as assessed by the Tiffany Cocaine Craving Questionnaire (p = 0.008, r = -0.33). Together, the findings demonstrated altered resting state functional connectivity of the hypothalamus and may provide new insight on circuit level deficits in cocaine dependence.
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Affiliation(s)
- Sheng Zhang
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Wuyi Wang
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Simon Zhornitsky
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Chiang-Shan R Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.,Department of Neuroscience, Yale University School of Medicine, New Haven, CT, United States.,Interdepartmental Neuroscience Program, Yale University, New Haven, CT, United States.,Beijing Huilongguan Hospital, Beijing, China
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12
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Tagliazucchi E, Crossley N, Bullmore ET, Laufs H. Deep sleep divides the cortex into opposite modes of anatomical-functional coupling. Brain Struct Funct 2016; 221:4221-4234. [PMID: 26650048 DOI: 10.1007/s00429-015-1162-0] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2015] [Accepted: 11/25/2015] [Indexed: 12/11/2022]
Abstract
The coupling of anatomical and functional connectivity at rest suggests that anatomy is essential for wake-typical activity patterns. Here, we study the development of this coupling from wakefulness to deep sleep. Globally, similarity between whole-brain anatomical and functional connectivity networks increased during deep sleep. Regionally, we found differential coupling: during sleep, functional connectivity of primary cortices resembled more the underlying anatomical connectivity, while we observed the opposite in associative cortices. Increased anatomical-functional similarity in sensory areas is consistent with their stereotypical, cross-modal response to the environment during sleep. In distinction, looser coupling-relative to wakeful rest-in higher order integrative cortices suggests that sleep actively disrupts default patterns of functional connectivity in regions essential for the conscious access of information and that anatomical connectivity acts as an anchor for the restoration of their functionality upon awakening.
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Affiliation(s)
- Enzo Tagliazucchi
- Department of Neurology and Brain Imaging Center, Goethe University Frankfurt am Main. Frankfurt am Main, 60528, Frankfurt Am Main, Germany.
- Institute for Medical Psychology, Christian Albrechts University Kiel, 24105, Kiel, Germany.
| | - Nicolas Crossley
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neurosciences, King's College London, WC2R 2LS, London, UK
| | - Edward T Bullmore
- Department of Psychiatry, University of Cambridge, CB2 2QQ, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, CB21 5EF, Cambridge, UK
- GlaxoSmithKline, Alternative Discovery and Development, TW8 9GS, Brentford, UK
| | - Helmut Laufs
- Department of Neurology and Brain Imaging Center, Goethe University Frankfurt am Main. Frankfurt am Main, 60528, Frankfurt Am Main, Germany
- Department of Neurology, Christian Albrechts University Kiel, 24104, Kiel, Germany
- Department of Neurology, UKSH, Arnold-Heller-Straße 3, 24105, Kiel, Germany
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13
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Yin M, Borton DA, Komar J, Agha N, Lu Y, Li H, Laurens J, Lang Y, Li Q, Bull C, Larson L, Rosler D, Bezard E, Courtine G, Nurmikko AV. Wireless neurosensor for full-spectrum electrophysiology recordings during free behavior. Neuron 2014; 84:1170-82. [PMID: 25482026 DOI: 10.1016/j.neuron.2014.11.010] [Citation(s) in RCA: 93] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/03/2014] [Indexed: 10/24/2022]
Abstract
Brain recordings in large animal models and humans typically rely on a tethered connection, which has restricted the spectrum of accessible experimental and clinical applications. To overcome this limitation, we have engineered a compact, lightweight, high data rate wireless neurosensor capable of recording the full spectrum of electrophysiological signals from the cortex of mobile subjects. The wireless communication system exploits a spatially distributed network of synchronized receivers that is scalable to hundreds of channels and vast environments. To demonstrate the versatility of our wireless neurosensor, we monitored cortical neuron populations in freely behaving nonhuman primates during natural locomotion and sleep-wake transitions in ecologically equivalent settings. The interface is electrically safe and compatible with the majority of existing neural probes, which may support previously inaccessible experimental and clinical research.
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Affiliation(s)
- Ming Yin
- School of Engineering, Brown University, 184 Hope Street, Providence, RI 02912, USA
| | - David A Borton
- School of Engineering, Brown University, 184 Hope Street, Providence, RI 02912, USA; Center for Neuroprosthetics, Swiss Federal Institute of Technology (EPFL), Lausanne, CH-1015 Vaud, Switzerland
| | - Jacob Komar
- School of Engineering, Brown University, 184 Hope Street, Providence, RI 02912, USA
| | - Naubahar Agha
- School of Engineering, Brown University, 184 Hope Street, Providence, RI 02912, USA
| | - Yao Lu
- School of Engineering, Brown University, 184 Hope Street, Providence, RI 02912, USA
| | - Hao Li
- Marvell Semiconductor, 5488 Marvell Lane, Santa Clara, CA 95054, USA
| | - Jean Laurens
- Center for Neuroprosthetics, Swiss Federal Institute of Technology (EPFL), Lausanne, CH-1015 Vaud, Switzerland
| | - Yiran Lang
- Institute of Neurodegenerative diseases, Bordeaux Institut of Neuroscience, 146 Rue Léo Saignat, UMR, 33076 Bordeaux, France
| | - Qin Li
- Motac Neuroscience, Lloyd Street N., Manchester, M15 6SE, UK; Institute of Laboratory Animal Sciences, China Academy of Medical Sciences, NO. 9, Dongdan san tiao, Dongcheng District, 100730 Beijing, China
| | - Christopher Bull
- School of Engineering, Brown University, 184 Hope Street, Providence, RI 02912, USA
| | - Lawrence Larson
- School of Engineering, Brown University, 184 Hope Street, Providence, RI 02912, USA
| | - David Rosler
- School of Engineering, Brown University, 184 Hope Street, Providence, RI 02912, USA; Center for Neurorestoration and Neurotechnology, Rehabilitation R&D Service, Department of Veterans Affairs Medical Center, 830 Chalkstone Avenue, Providence, RI 02908, USA
| | - Erwan Bezard
- Institute of Neurodegenerative diseases, Bordeaux Institut of Neuroscience, 146 Rue Léo Saignat, UMR, 33076 Bordeaux, France; Institute of Laboratory Animal Sciences, China Academy of Medical Sciences, NO. 9, Dongdan san tiao, Dongcheng District, 100730 Beijing, China
| | - Grégoire Courtine
- Center for Neuroprosthetics, Swiss Federal Institute of Technology (EPFL), Lausanne, CH-1015 Vaud, Switzerland
| | - Arto V Nurmikko
- School of Engineering, Brown University, 184 Hope Street, Providence, RI 02912, USA.
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14
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Bentley WJ, Li JM, Snyder AZ, Raichle ME, Snyder LH. Oxygen Level and LFP in Task-Positive and Task-Negative Areas: Bridging BOLD fMRI and Electrophysiology. Cereb Cortex 2014; 26:346-57. [PMID: 25385710 DOI: 10.1093/cercor/bhu260] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The human default mode network (DMN) shows decreased blood oxygen level dependent (BOLD) signals in response to a wide range of attention-demanding tasks. Our understanding of the specifics regarding the neural activity underlying these "task-negative" BOLD responses remains incomplete. We paired oxygen polarography, an electrode-based oxygen measurement technique, with standard electrophysiological recording to assess the relationship of oxygen and neural activity in task-negative posterior cingulate cortex (PCC), a hub of the DMN, and visually responsive task-positive area V3 in the awake macaque. In response to engaging visual stimulation, oxygen, LFP power, and multi-unit activity in PCC showed transient activation followed by sustained suppression. In V3, oxygen, LFP power, and multi-unit activity showed an initial phasic response to the stimulus followed by sustained activation. Oxygen responses were correlated with LFP power in both areas, although the apparent hemodynamic coupling between oxygen level and electrophysiology differed across areas. Our results suggest that oxygen responses reflect changes in LFP power and multi-unit activity and that either the coupling of neural activity to blood flow and metabolism differs between PCC and V3 or computing a linear transformation from a single LFP band to oxygen level does not capture the true physiological process.
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Affiliation(s)
- William J Bentley
- Department of Anatomy and Neurobiology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Jingfeng M Li
- Department of Anatomy and Neurobiology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Abraham Z Snyder
- Department of Radiology Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Marcus E Raichle
- Department of Anatomy and Neurobiology, Washington University School of Medicine, St. Louis, MO 63110, USA Department of Radiology Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Lawrence H Snyder
- Department of Anatomy and Neurobiology, Washington University School of Medicine, St. Louis, MO 63110, USA
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