151
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Xia H, He Q, Chen A. Understanding cognitive control in aging: A brain network perspective. Front Aging Neurosci 2022; 14:1038756. [PMID: 36389081 PMCID: PMC9659905 DOI: 10.3389/fnagi.2022.1038756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 10/17/2022] [Indexed: 12/03/2022] Open
Abstract
Cognitive control decline is a major manifestation of brain aging that severely impairs the goal-directed abilities of older adults. Magnetic resonance imaging evidence suggests that cognitive control during aging is associated with altered activation in a range of brain regions, including the frontal, parietal, and occipital lobes. However, focusing on specific regions, while ignoring the structural and functional connectivity between regions, may impede an integrated understanding of cognitive control decline in older adults. Here, we discuss the role of aging-related changes in functional segregation, integration, and antagonism among large-scale networks. We highlight that disrupted spontaneous network organization, impaired information co-processing, and enhanced endogenous interference promote cognitive control declines during aging. Additionally, in older adults, severe damage to structural network can weaken functional connectivity and subsequently trigger cognitive control decline, whereas a relatively intact structural network ensures the compensation of functional connectivity to mitigate cognitive control impairment. Thus, we propose that age-related changes in functional networks may be influenced by structural networks in cognitive control in aging (CCA). This review provided an integrative framework to understand the cognitive control decline in aging by viewing the brain as a multimodal networked system.
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Affiliation(s)
- Haishuo Xia
- Faculty of Psychology, Southwest University, Chongqing, China
| | - Qinghua He
- Faculty of Psychology, Southwest University, Chongqing, China
| | - Antao Chen
- School of Psychology, Shanghai University of Sport, Shanghai, China
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152
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Fernandes V, Sood A, Preeti K, Khatri DK, Singh SB. Neuroepigenetic alterations in the prefrontal cortex of type 2 diabetic mice through DNA hypermethylation. Mol Biol Rep 2022; 49:12017-12028. [DOI: 10.1007/s11033-022-08018-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Accepted: 10/07/2022] [Indexed: 11/28/2022]
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153
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Tang R, Elman JA, Franz CE, Dale AM, Eyler LT, Fennema-Notestine C, Hagler DJ, Lyons MJ, Panizzon MS, Puckett OK, Kremen WS. Longitudinal association of executive function and structural network controllability in the aging brain. GeroScience 2022; 45:837-849. [PMID: 36269506 PMCID: PMC9886719 DOI: 10.1007/s11357-022-00676-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 10/12/2022] [Indexed: 02/03/2023] Open
Abstract
Executive function encompasses effortful cognitive processes that are particularly susceptible to aging. Functional brain networks supporting executive function-such as the frontoparietal control network and the multiple demand system-have been extensively investigated. However, it remains unclear how structural networks facilitate and constrain the dynamics of functional networks to contribute to aging-related executive function declines. We examined whether changes in structural network modal controllability-a network's ability to facilitate effortful brain state transitions that support cognitive functions-are associated with changes in executive function cross-sectionally and longitudinally. Diffusion-weighted imaging and neuropsychological testing were conducted at two time points (Time 1: ages 56 to 66, N = 172; Time 2: ages 61 to 70, N = 267) in community-dwelling men from the Vietnam Era Twin Study of Aging. An executive function factor score was computed from six neuropsychological tasks. Structural networks constructed from white matter connectivity were used to estimate modal controllability in control network and multiple demand system. We showed that higher modal controllability in control network and multiple demand system was associated with better executive function at Time 2, after controlling for age, young adult general cognitive ability, and physical health status. Moreover, changes in executive function over a period of 5 to 6 years (Time 1-Time 2, N = 105) were associated with changes in modal controllability of the multiple demand system and weakly in the control network over the same time period. These findings suggest that changes in the ability of structural brain networks in facilitating effortful brain state transitions may be a key neural mechanism underlying aging-related executive function declines and cognitive aging.
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Affiliation(s)
- Rongxiang Tang
- Department of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA. .,Center for Behavior Genetics of Aging, University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
| | - Jeremy A. Elman
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093 USA ,Center for Behavior Genetics of Aging, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093 USA
| | - Carol E. Franz
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093 USA ,Center for Behavior Genetics of Aging, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093 USA
| | - Anders M. Dale
- Department of Radiology, University of California San Diego, La Jolla, CA 92093 USA ,Department of Neurosciences, University of California San Diego, La Jolla, CA 92093 USA
| | - Lisa T. Eyler
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093 USA ,Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, CA 92093 USA
| | - Christine Fennema-Notestine
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093 USA ,Department of Radiology, University of California San Diego, La Jolla, CA 92093 USA
| | - Donald J. Hagler
- Department of Radiology, University of California San Diego, La Jolla, CA 92093 USA
| | - Michael J. Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, MA 02212 USA
| | - Matthew S. Panizzon
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093 USA ,Center for Behavior Genetics of Aging, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093 USA
| | - Olivia K. Puckett
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093 USA ,Center for Behavior Genetics of Aging, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093 USA
| | - William S. Kremen
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093 USA ,Center for Behavior Genetics of Aging, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093 USA
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154
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Menon V, Palaniyappan L, Supekar K. Integrative Brain Network and Salience Models of Psychopathology and Cognitive Dysfunction in Schizophrenia. Biol Psychiatry 2022:S0006-3223(22)01637-7. [PMID: 36702660 DOI: 10.1016/j.biopsych.2022.09.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 08/09/2022] [Accepted: 09/06/2022] [Indexed: 01/28/2023]
Abstract
Brain network models of cognitive control are central to advancing our understanding of psychopathology and cognitive dysfunction in schizophrenia. This review examines the role of large-scale brain organization in schizophrenia, with a particular focus on a triple-network model of cognitive control and its role in aberrant salience processing. First, we provide an overview of the triple network involving the salience, frontoparietal, and default mode networks and highlight the central role of the insula-anchored salience network in the aberrant mapping of salient external and internal events in schizophrenia. We summarize the extensive evidence that has emerged from structural, neurochemical, and functional brain imaging studies for aberrancies in these networks and their dynamic temporal interactions in schizophrenia. Next, we consider the hypothesis that atypical striatal dopamine release results in misattribution of salience to irrelevant external stimuli and self-referential mental events. We propose an integrated triple-network salience-based model incorporating striatal dysfunction and sensitivity to perceptual and cognitive prediction errors in the insula node of the salience network and postulate that dysregulated dopamine modulation of salience network-centered processes contributes to the core clinical phenotype of schizophrenia. Thus, a powerful paradigm to characterize the neurobiology of schizophrenia emerges when we combine conceptual models of salience with large-scale cognitive control networks in a unified manner. We conclude by discussing potential therapeutic leads on restoring brain network dysfunction in schizophrenia.
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Affiliation(s)
- Vinod Menon
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California; Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California; Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, California.
| | - Lena Palaniyappan
- Department of Psychiatry and Robarts Research Institute, University of Western Ontario, London, Ontario, Canada; Lawson Health Research Institute, London, Ontario, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Kaustubh Supekar
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California; Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, California
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155
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Catalogna M, Sasson E, Hadanny A, Parag Y, Zilberman-Itskovich S, Efrati S. Effects of hyperbaric oxygen therapy on functional and structural connectivity in post-COVID-19 condition patients: A randomized, sham-controlled trial. Neuroimage Clin 2022; 36:103218. [PMID: 36208548 PMCID: PMC9528018 DOI: 10.1016/j.nicl.2022.103218] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 09/29/2022] [Accepted: 10/01/2022] [Indexed: 11/11/2022]
Abstract
INTRODUCTION Post-COVID-19 condition refers to a range of persisting physical, neurocognitive, and neuropsychological symptoms after SARS-CoV-2 infection. Abnormalities in brain connectivity were found in recovered patients compared to non-infected controls. This study aims to evaluate the effect of hyperbaric oxygen therapy (HBOT) on brain connectivity in post-COVID-19 patients. METHODS In this randomized, sham-controlled, double-blind trial, 73 patients were randomized to receive 40 daily sessions of HBOT (n = 37) or sham treatment (n = 36). We examined pre- and post-treatment resting-state brain functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) scans to evaluate functional and structural connectivity changes, which were correlated to cognitive and psychological distress measures. RESULTS The ROI-to-ROI analysis revealed decreased internetwork connectivity in the HBOT group which was negatively correlated to improvements in attention and executive function scores (p < 0.001). Significant group-by-time interactions were demonstrated in the right hippocampal resting state function connectivity (rsFC) in the medial prefrontal cortex (PFWE = 0.002). Seed-to-voxel analysis also revealed a negative correlation in the brief symptom inventory (BSI-18) score and in the rsFC between the amygdala seed, the angular gyrus, and the primary sensory motor area (PFWE = 0.012, 0.002). Positive correlations were found between the BSI-18 score and the left insular cortex seed and FPN (angular gyrus) (PFWE < 0.0001). Tractography based structural connectivity analysis showed a significant group-by-time interaction in the fractional anisotropy (FA) of left amygdala tracts (F = 7.81, P = 0.007). The efficacy measure had significant group-by-time interactions (F = 5.98, p = 0.017) in the amygdala circuit. CONCLUSIONS This study indicates that HBOT improves disruptions in white matter tracts and alters the functional connectivity organization of neural pathways attributed to cognitive and emotional recovery in post-COVID-19 patients. This study also highlights the potential of structural and functional connectivity analysis as a promising treatment response monitoring tool.
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Affiliation(s)
- Merav Catalogna
- Sagol Center for Hyperbaric Medicine and Research, Shamir (Assaf Harofeh) Medical Center, Zerifin, Israel
| | - Efrat Sasson
- Sagol Center for Hyperbaric Medicine and Research, Shamir (Assaf Harofeh) Medical Center, Zerifin, Israel
| | - Amir Hadanny
- Sagol Center for Hyperbaric Medicine and Research, Shamir (Assaf Harofeh) Medical Center, Zerifin, Israel; Sackler School of Medicine, Tel- Aviv University, Tel-Aviv, Israel
| | - Yoav Parag
- Sagol Center for Hyperbaric Medicine and Research, Shamir (Assaf Harofeh) Medical Center, Zerifin, Israel
| | - Shani Zilberman-Itskovich
- Sagol Center for Hyperbaric Medicine and Research, Shamir (Assaf Harofeh) Medical Center, Zerifin, Israel; Sackler School of Medicine, Tel- Aviv University, Tel-Aviv, Israel
| | - Shai Efrati
- Sagol Center for Hyperbaric Medicine and Research, Shamir (Assaf Harofeh) Medical Center, Zerifin, Israel; Sackler School of Medicine, Tel- Aviv University, Tel-Aviv, Israel; Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel.
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156
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Wang J, Xu R, Guo X, Guo S, Zhou J, Lu J, Yao D. Different Music Training Modulates Theta Brain Oscillations Associated with Executive Function. Brain Sci 2022; 12:brainsci12101304. [PMID: 36291238 PMCID: PMC9599161 DOI: 10.3390/brainsci12101304] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 09/16/2022] [Accepted: 09/24/2022] [Indexed: 12/03/2022] Open
Abstract
Different music training involves different hand coordination levels and may have a significant influence on brain oscillation for the executive function. However, few research has focused on the plasticity of executive function and the brain oscillation modulated by different musical instrument training modules. In this study, we recruited 18 string musicians, 20 pianists, and 19 non-musicians to perform a bimanual key pressing task during EEG recording. Behavioral results revealed that pianists have the highest accuracy and the shortest response time, followed by string musicians and non-musicians (p < 0.05). Time-frequency analyses of EEG revealed that pianists generated significantly greater theta power than the other groups from 500 ms to 800 ms post-stimulus in mid-central, frontal brain areas, and motor control areas. Functional connectivity analyses found that the pianists showed significantly greater connectivity in the frontal-parietal area in theta band based on phase-locking value analysis, which suggests that piano training improves executive function and enhances the connectivity between prefrontal and mid-central regions. These findings contribute to a better understanding of the effects of different music training on executive function.
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Affiliation(s)
- Junce Wang
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu 611731, China
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Ruijie Xu
- School of Glasgow, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Xiaolong Guo
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Sijia Guo
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Junchen Zhou
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Jing Lu
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu 611731, China
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
- Correspondence: (J.L.); (D.Y.)
| | - Dezhong Yao
- Research Unit of NeuroInformation 2019RU035, Chinese Academy of Medical Sciences, Chengdu 611731, China
- School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China
- Correspondence: (J.L.); (D.Y.)
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157
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Barzykowski K, Moulin CJA. Are involuntary autobiographical memory and déjà vu natural products of memory retrieval? Behav Brain Sci 2022; 46:e356. [PMID: 36111499 DOI: 10.1017/s0140525x22002035] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Involuntary autobiographical memories (IAMs) and déjà vu are phenomena that occur spontaneously in daily life. IAMs are recollections of the personal past, whereas déjà vu is defined as an experience in which the person feels familiarity at the same time as knowing that the familiarity is false. We present and discuss the idea that both IAMs and déjà vu can be explained as natural phenomena resulting from memory processing and, importantly, are both based on the same memory retrieval processes. Briefly, we hypothesise that both can be described as "involuntary" or spontaneous cognitions, where IAMs deliver content and déjà vu delivers only the feeling of retrieval. We map out the similarities and differences between the two, making a theoretical and neuroscientific account for their integration into models of memory retrieval and how the autobiographical memory literature can explain these quirks of daily life and unusual but meaningful phenomena. We explain the emergence of the déjà vu phenomenon by relating it to well-known mechanisms of autobiographical memory retrieval, concluding that IAMs and déjà vu lie on a continuum.
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Affiliation(s)
- Krystian Barzykowski
- Applied Memory Research Laboratory, Institute of Psychology, Faculty of Philosophy, Jagiellonian University, Kraków, Poland
| | - Chris J A Moulin
- Laboratoire de Psychologie et Neurocognition, Université Grenoble Alpes, Grenoble, France
- Institut Universitaire de France
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158
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Spangler DP, Yang X, Weidler BJ, Thayer JF, McGinley JJ. Unraveling the cognitive correlates of heart rate variability with the drift diffusion model. Int J Psychophysiol 2022; 181:73-84. [PMID: 36029919 DOI: 10.1016/j.ijpsycho.2022.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 07/20/2022] [Accepted: 08/18/2022] [Indexed: 11/19/2022]
Abstract
The Neurovisceral Integration Model posits a link between resting vagally mediated heart rate variability (vmHRV) and cognitive control. Empirical support for this link is mixed, potentially due to coarse performance metrics such as mean response time (RT). To clarify this issue, we tested the relationships between resting vmHRV and refined estimates of cognitive control- as revealed by the ex-Gaussian model of RT and, to a greater extent, the drift diffusion model (DDM, a computational model of two-choice performance). Participants (N = 174) completed a five-minute resting baseline while ECG was collected followed by a Simon spatial conflict task. The root mean square of successive differences in interbeat intervals was calculated to index resting vmHRV. Resting vmHRV was unrelated to Simon's mean RT and accuracy rates, but was inversely related to the ex-Gaussian parameter reflecting slow RTs (tau); however, this finding was attenuated after adjustment for covariates. High resting vmHRV was related to faster drift rates and slower non-decision times, DDM parameters reflecting goal-directed cognition and sensorimotor processes, respectively. The DDM effects survived covariate adjustment and were specific to incongruent trials (i.e., when cognitive control demands were high). Findings suggest a link between vmHRV and cognitive control vis-a-vis drift rate, and potentially, a link between vmHRV and motoric inhibition vis-a-vis non-decision time. These cognitive correlates would have been missed with reliance on traditional performance. Findings are discussed with respect to the inhibitory processes that promote effective performance in high vmHRV individuals.
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Affiliation(s)
- Derek P Spangler
- Department of Biobehavioral Health, Penn State University, United States of America.
| | - Xiao Yang
- Department of Psychology, Old Dominion University, United States of America
| | - Blaire J Weidler
- Department of Psychology, Towson University, United States of America
| | - Julian F Thayer
- Department of Psychological Science, University of California, Irvine, United States of America; The Ohio State University, Deparatment of Psychology, United States of America
| | - Jared J McGinley
- Department of Psychology, Towson University, United States of America
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159
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Jackson ES, Dravida S, Zhang X, Noah JA, Gracco V, Hirsch J. Activation in Right Dorsolateral Prefrontal Cortex Underlies Stuttering Anticipation. NEUROBIOLOGY OF LANGUAGE (CAMBRIDGE, MASS.) 2022; 3:469-494. [PMID: 37216062 PMCID: PMC10158639 DOI: 10.1162/nol_a_00073] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 05/16/2022] [Indexed: 05/24/2023]
Abstract
People who stutter learn to anticipate many of their overt stuttering events. Despite the critical role of anticipation, particularly how responses to anticipation shape stuttering behaviors, the neural bases associated with anticipation are unknown. We used a novel approach to identify anticipated and unanticipated words, which were produced by 22 adult stutterers in a delayed-response task while hemodynamic activity was measured using functional near infrared spectroscopy (fNIRS). Twenty-two control participants were included such that each individualized set of anticipated and unanticipated words was produced by one stutterer and one control participant. We conducted an analysis on the right dorsolateral prefrontal cortex (R-DLPFC) based on converging lines of evidence from the stuttering and cognitive control literatures. We also assessed connectivity between the R-DLPFC and right supramarginal gyrus (R-SMG), two key nodes of the frontoparietal network (FPN), to assess the role of cognitive control, and particularly error-likelihood monitoring, in stuttering anticipation. All analyses focused on the five-second anticipation phase preceding the go signal to produce speech. The results indicate that anticipated words are associated with elevated activation in the R-DLPFC, and that compared to non-stutterers, stutterers exhibit greater activity in the R-DLPFC, irrespective of anticipation. Further, anticipated words are associated with reduced connectivity between the R-DLPFC and R-SMG. These findings highlight the potential roles of the R-DLPFC and the greater FPN as a neural substrate of stuttering anticipation. The results also support previous accounts of error-likelihood monitoring and action-stopping in stuttering anticipation. Overall, this work offers numerous directions for future research with clinical implications for targeted neuromodulation.
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Affiliation(s)
- Eric S. Jackson
- Department of Communicative Sciences and Disorders, New York University, New York, USA
| | - Swethasri Dravida
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Xian Zhang
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - J. Adam Noah
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Vincent Gracco
- Haskins Laboratories, New Haven, CT, USA
- McGill University, Montreal, Canada
| | - Joy Hirsch
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Department of Neuroscience, Department of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK
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160
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Hu Y, Shen Y, Wu X, Ba R, Xu H, Lu K, Shao Y, Sun C, Zhang Y, Miao F, Shen Y, Zhang J. Expression pattern of NLRC5 in the postnatal mouse brain. Acta Histochem 2022; 124:151939. [PMID: 35952483 DOI: 10.1016/j.acthis.2022.151939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 07/31/2022] [Accepted: 08/01/2022] [Indexed: 12/01/2022]
Abstract
Nucleotide oligomerization domain-like receptors (NLRs), belonging to a large family of pattern recognition receptors, participate in the host's first line of defense against invading pathogens. Caspase recruitment domain containing 5 (NLRC5), the largest member in the NLR family, is demonstrated to be involved in the innate immune response and inflammatory diseases far and wide. Recent studies report that NLRC5 is associated with some central nervous system (CNS) diseases. Besides, NLRC5 is a mastery regulator for the expression of MHC class I both in the immune system and the CNS, while MHC class I is expressed and exerts its function in the brain. Therefore, it is necessary to investigate the expression pattern of NLRC5 in the developing and adult CNS. In our study, postnatal brain sections of C57BL/6 J mice are analyzed for the expression of NLRC5 protein by immunofluorescence. In the postnatal stages of developing telencephalon, NLRC5 exhibits a spatial and temporal expression pattern. NLRC5 is time-specifically expressed in subfields of hippocampus and different layers of prefrontal cortex. Moreover, it is shown that NLRC5 is highly cell type specific. It can be expressed in large quantities by neurons and microglia, but rarely expressed by astrocytes. Taken together, our research is important for further understanding the biological characteristics of NLRC5 and its function in the CNS.
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Affiliation(s)
- Yue Hu
- Key Laboratory of Developmental Genes and Human Disease, Ministry of Education, Southeast University, Nanjing, China
| | - Yi Shen
- Key Laboratory of Developmental Genes and Human Disease, Ministry of Education, Southeast University, Nanjing, China
| | - Xiaojing Wu
- Department of Critical Care Medicine, Zhongda Hospital, Jiangsu Provincial Key Laboratory of Critical Care Medicine, School of Medicine, Southeast University, Nanjing, China
| | - Ru Ba
- Key Laboratory of Developmental Genes and Human Disease, Ministry of Education, Southeast University, Nanjing, China
| | - Hongwei Xu
- Key Laboratory of Developmental Genes and Human Disease, Ministry of Education, Southeast University, Nanjing, China
| | - Keze Lu
- Key Laboratory of Developmental Genes and Human Disease, Ministry of Education, Southeast University, Nanjing, China
| | - Yong Shao
- Key Laboratory of Developmental Genes and Human Disease, Ministry of Education, Southeast University, Nanjing, China
| | - Chen Sun
- Department of Microbiology and Immunology, Medical School, Southeast University, Nanjing, China
| | - Ying Zhang
- Department of Microbiology and Immunology, Medical School, Southeast University, Nanjing, China
| | - Fengqin Miao
- Department of Microbiology and Immunology, Medical School, Southeast University, Nanjing, China
| | - Yuqing Shen
- Department of Microbiology and Immunology, Medical School, Southeast University, Nanjing, China; Department of Critical Care Medicine, Zhongda Hospital, Jiangsu Provincial Key Laboratory of Critical Care Medicine, School of Medicine, Southeast University, Nanjing, China
| | - Jianqiong Zhang
- Key Laboratory of Developmental Genes and Human Disease, Ministry of Education, Southeast University, Nanjing, China; Jiangsu Key Laboratory of Molecular and Functional Imaging, Zhongda Hospital, Medical School, Southeast University, Nanjing, China
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161
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Lawal SK, Olojede SO, Sulaiman SO, Aladeyelu OS, Moodley R, Naidu ECS, Rennie CO, Azu OO. Tenofovir-silver nanoparticles conjugate ameliorates neurocognitive disorders and protects ultrastructural and cytoarchitectonic properties of the prefrontal cortex in diabetic rats. Bosn J Basic Med Sci 2022; 22:569-579. [PMID: 35122679 PMCID: PMC9392981 DOI: 10.17305/bjbms.2021.6699] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 12/05/2021] [Indexed: 11/16/2022] Open
Abstract
Tenofovir disoproxil fumarate (TDF) is the highly recommended antiretroviral drug in human immunodeficiency virus management. Although research has shown the neurological and metabolic disorders associated with TDF administration, the effect of TDF-silver nanoparticles conjugate (TDF-AgNPs) on the disorders has not been fully elucidated. Thus, this study evaluated the neuroprotective effects of TDF-AgNPs on ultrastructural and cytoarchitectonic properties of the prefrontal cortex (PFC) in diabetic rats. Forty-two adult male Sprague-Dawley rats (250 ± 13 g) were randomly divided into non-diabetic groups (1-3) and diabetic groups (4-6), each administered distilled water (0.5 ml/100g, p.o), TDF (26.8 mg/kg/bw, p.o) or TDF-AgNPs (6.7 mg/kg, i.p). After eight weeks of administration, cognitive function, oxidative injury and tissue inflammation were evaluated. Also, PFC ultrastructure was observed using transmission electron microscopy, Nissl staining and immunohistochemistry. Diabetic rats administered TDF exhibited cognitive deficits; and increases in blood glucose, malondialdehyde and interleukin-1 beta (IL-1β) levels, which correlate with decreases in glutathione level, and superoxide dismutase (SOD) and catalase activities. Furthermore, loss of PFC astrocytes and neuronal organelles was observed. Conversely, TDF-AgNPs administration to diabetic rats improved cognitive deficits; and increased glutathione, SOD, and catalase, but reduced PFC malondialdehyde and IL-1β concentrations. Notably, TDF-AgNPs prevented loss of PFC neurons and astrocytic cells, and morphology aberration of neuronal organelles. This study suggests that TDF-AgNPs attenuated cognitive deficits via silver nanoparticles' antioxidant and anti-inflammatory properties, preventing the loss of PFC astrocytes and neurons. The TDF-AgNPs may be utilized to ameliorate the neurological dysfunction caused by prolonged TDF administration.
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Affiliation(s)
- Sodiq Kolawole Lawal
- Discipline of Clinical Anatomy, School of Laboratory Medicine and Medical Sciences, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Samuel Oluwaseun Olojede
- Discipline of Clinical Anatomy, School of Laboratory Medicine and Medical Sciences, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Sheu Oluwadare Sulaiman
- Postgraduate Program in Cell Biology and Birbrair Laboratory, Institute of Biological Sciences, Federal University of Minas Gerais (UFMG), Minas Gerais, Belo Horizonte, Brazil
| | - Okikioluwa Stephen Aladeyelu
- Discipline of Clinical Anatomy, School of Laboratory Medicine and Medical Sciences, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Roshila Moodley
- School of Chemistry and Physics, University of KwaZulu-Natal, Westville Campus, Durban, South Africa
| | - Edwin C. Stephen Naidu
- Discipline of Clinical Anatomy, School of Laboratory Medicine and Medical Sciences, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Carmen Olivia Rennie
- Discipline of Clinical Anatomy, School of Laboratory Medicine and Medical Sciences, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Onyemaechi Okpara Azu
- Department of Anatomy, School of Medicine, University of Namibia, Windhoek, Private, Namibia
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162
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Castilla A, Berthoz A, Urukalo D, Zaoui M, Perrochon A, Kronovsek T. Age and sex impact on visuospatial working memory (VSWM), mental rotation, and cognitive strategies during navigation. Neurosci Res 2022; 183:84-96. [PMID: 35905778 DOI: 10.1016/j.neures.2022.07.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 06/12/2022] [Accepted: 07/24/2022] [Indexed: 11/30/2022]
Abstract
This study assessed the impact of sex and typical aging on visuospatial working memory (VSWM), mental rotations, and navigational strategies using behavioral information. Fifty healthy participants regrouped in older (OA) and young adults (YA) performed the Walking Corsi test (WalCT) and the Redrawn Mental Rotation Test (MRT) to explore mental rotation abilities. We recorded kinematic data such as locomotion trajectories, and spatial orientations during navigation. We created a new method of data analysis for the WalCT performances and compared it with the classical approach. This original method allowed us to identify cognitive strategies based on errors analysis. Our data suggested that VSWM and mental rotation capacities in locomotion were modulated by age (YA scored higher than OA), and sex (Young Adult Males (YA-M) having higher performance than Young Adult Females (YA-F). We observed a preferential use of cognitive strategies related to sex; YA-F relied more on egocentric strategies whereas YA-M relied more on allocentric strategies. The preferential use of cognitive strategies in the YA group was not observed in the OA group producing more random errors per sequence. The results suggest the effects that age and sex have on VSWM, cognitive strategies, and mental rotation during navigation and highlight the importance of navigational strategies training.
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Affiliation(s)
- Alexander Castilla
- Laboratoire de Psychologie du Développement et de l'Éducation de l'Enfant (LaPsyDÉ), Université de Paris Cité, Paris, France; Laboratoire Psychologie & Neurosciences Institut de Médecine Environnementale (IME), 114 Bd Malesherbes, 75017 Paris, France; Collège de France, Centre Interdisciplinaire de Biologie, 11 Place Marcelin Berthelot, 75005 Paris, France.
| | - Alain Berthoz
- Collège de France, Centre Interdisciplinaire de Biologie, 11 Place Marcelin Berthelot, 75005 Paris, France
| | | | - Mohamed Zaoui
- Collège de France, Centre Interdisciplinaire de Biologie, 11 Place Marcelin Berthelot, 75005 Paris, France
| | | | - Téo Kronovsek
- Université de Limoges, HAVAE, EA 6310, F-87000 Limoges, France
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163
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Pan TT, Liu C, Li DM, Nie BB, Zhang TH, Zhang W, Zhao SL, Zhou QX, Liu H, Zhu GH, Xu L, Shan BC. Nucleus accumbens-linked executive control networks mediating reversal learning in tree shrew brain. Zool Res 2022; 43:528-531. [PMID: 35585801 PMCID: PMC9336441 DOI: 10.24272/j.issn.2095-8137.2022.063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Affiliation(s)
- Ting-Ting Pan
- School of Physics and Microelectronics, Zhengzhou University, Zhengzhou, Henan 450001, China,Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China,CAS Key Laboratory of Animal Models and Human Disease Mechanisms, and KIZ-SU Joint Laboratory of Animal Model and Drug Development, and Laboratory of Learning and Memory, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Chao Liu
- CAS Key Laboratory of Animal Models and Human Disease Mechanisms, and KIZ-SU Joint Laboratory of Animal Model and Drug Development, and Laboratory of Learning and Memory, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - De-Min Li
- School of Physics and Microelectronics, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Bin-Bin Nie
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Tian-Hao Zhang
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Wei Zhang
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China,School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shi-Lun Zhao
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China,School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qi-Xin Zhou
- CAS Key Laboratory of Animal Models and Human Disease Mechanisms, and KIZ-SU Joint Laboratory of Animal Model and Drug Development, and Laboratory of Learning and Memory, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Hua Liu
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China,E-mail:
| | - Gao-Hong Zhu
- Department of Nuclear Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China,
| | - Lin Xu
- CAS Key Laboratory of Animal Models and Human Disease Mechanisms, and KIZ-SU Joint Laboratory of Animal Model and Drug Development, and Laboratory of Learning and Memory, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China,CAS Centre for Excellence in Brain Science and Intelligent Technology, Shanghai 200031, China,
| | - Bao-Ci Shan
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China,School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China,
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164
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Allemann-Su YY, Vetter M, Koechlin H, Paul SM, Cooper BA, Oppegaard K, Melisko M, Levine JD, Conley Y, Miaskowski C, Katapodi MC. Pre-Surgery Demographic, Clinical, and Symptom Characteristics Associated with Different Self-Reported Cognitive Processes in Patients with Breast Cancer. Cancers (Basel) 2022; 14:cancers14133281. [PMID: 35805053 PMCID: PMC9265628 DOI: 10.3390/cancers14133281] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 06/28/2022] [Accepted: 07/04/2022] [Indexed: 02/01/2023] Open
Abstract
Cancer related cognitive impairment (CRCI) is a common and persistent symptom in breast cancer patients. The Attentional Function Index (AFI) is a self-report measure that assesses CRCI. AFI includes three subscales, namely effective action, attentional lapses, and interpersonal effectiveness, that are based on working memory, inhibitory control, and cognitive flexibility. Previously, we identified three classes of patients with distinct CRCI profiles using the AFI total scores. The purpose of this study was to expand our previous work using latent class growth analysis (LCGA), to identify distinct cognitive profiles for each of the AFI subscales in the same sample (i.e., 397 women who were assessed seven times from prior to through to 6 months following breast cancer surgery). For each subscale, parametric and non-parametric statistics were used to determine differences in demographic, clinical, and pre-surgical psychological and physical symptoms among the subgroups. Three-, four-, and two-classes were identified for the effective action, attentional lapses, and interpersonal effectiveness subscales, respectively. Across all three subscales, lower functional status, higher levels of anxiety, depression, fatigue, and sleep disturbance, and worse decrements in energy were associated with worse cognitive performance. These and other modifiable characteristics may be potential targets for personalized interventions for CRCI.
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Affiliation(s)
- Yu-Yin Allemann-Su
- Department of Clinical Research, University of Basel, 4055 Basel, Switzerland;
| | - Marcus Vetter
- Department of Oncology, Cantonal Hospital Basel-Land, 4410 Listel, Switzerland;
| | - Helen Koechlin
- Division of Child and Adolescent Health Psychology, Department of Psychology, University of Zurich, 8050 Zurich, Switzerland;
- Division of Clinical Psychology and Psychotherapy, Faculty of Psychology, University of Basel, 4055 Basel, Switzerland
- Department of Anaesthesiology, Critical Care and Pain Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Steven M. Paul
- School of Nursing, University of California San Francisco, San Francisco, CA 94143, USA; (S.M.P.); (B.A.C.); (K.O.); (C.M.)
| | - Bruce A. Cooper
- School of Nursing, University of California San Francisco, San Francisco, CA 94143, USA; (S.M.P.); (B.A.C.); (K.O.); (C.M.)
| | - Kate Oppegaard
- School of Nursing, University of California San Francisco, San Francisco, CA 94143, USA; (S.M.P.); (B.A.C.); (K.O.); (C.M.)
| | - Michelle Melisko
- School of Medicine, University of California San Francisco, San Francisco, CA 94143, USA; (M.M.); (J.D.L.)
| | - Jon D. Levine
- School of Medicine, University of California San Francisco, San Francisco, CA 94143, USA; (M.M.); (J.D.L.)
| | - Yvette Conley
- School of Nursing, University of Pittsburgh, Pittsburgh, PA 15261, USA;
| | - Christine Miaskowski
- School of Nursing, University of California San Francisco, San Francisco, CA 94143, USA; (S.M.P.); (B.A.C.); (K.O.); (C.M.)
- School of Medicine, University of California San Francisco, San Francisco, CA 94143, USA; (M.M.); (J.D.L.)
| | - Maria C. Katapodi
- Department of Clinical Research, University of Basel, 4055 Basel, Switzerland;
- Correspondence: ; Tel.: +41-61-207-0430
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165
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Willis DE, Goldstein PA. Targeting Affective Mood Disorders With Ketamine to Prevent Chronic Postsurgical Pain. FRONTIERS IN PAIN RESEARCH 2022; 3:872696. [PMID: 35832728 PMCID: PMC9271565 DOI: 10.3389/fpain.2022.872696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 06/06/2022] [Indexed: 12/02/2022] Open
Abstract
The phencyclidine-derivative ketamine [2-(2-chlorophenyl)-2-(methylamino)cyclohexan-1-one] was added to the World Health Organization's Model List of Essential Medicines in 1985 and is also on the Model List of Essential Medicines for Children due to its efficacy and safety as an intravenous anesthetic. In sub-anesthetic doses, ketamine is an effective analgesic for the treatment of acute pain (such as may occur in the perioperative setting). Additionally, ketamine may have efficacy in relieving some forms of chronic pain. In 2019, Janssen Pharmaceuticals received regulatory-approval in both the United States and Europe for use of the S-enantiomer of ketamine in adults living with treatment-resistant major depressive disorder. Pre-existing anxiety/depression and the severity of postoperative pain are risk factors for development of chronic postsurgical pain. An important question is whether short-term administration of ketamine can prevent the conversion of acute postsurgical pain to chronic postsurgical pain. Here, we have reviewed ketamine's effects on the biopsychological processes underlying pain perception and affective mood disorders, focusing on non-NMDA receptor-mediated effects, with an emphasis on results from human trials where available.
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Affiliation(s)
- Dianna E. Willis
- Burke Neurological Institute, White Plains, NY, United States
- Feil Family Brain and Mind Institute, Weill Cornell Medicine, New York, NY, United States
| | - Peter A. Goldstein
- Feil Family Brain and Mind Institute, Weill Cornell Medicine, New York, NY, United States
- Department of Anesthesiology, Weill Cornell Medicine, New York, NY, United States
- Department of Medicine, Weill Cornell Medicine, New York, NY, United States
- *Correspondence: Peter A. Goldstein
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166
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Vaden KI, Teubner-Rhodes S, Ahlstrom JB, Dubno JR, Eckert MA. Evidence for cortical adjustments to perceptual decision criteria during word recognition in noise. Neuroimage 2022; 253:119042. [PMID: 35259524 PMCID: PMC9082296 DOI: 10.1016/j.neuroimage.2022.119042] [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: 08/12/2021] [Revised: 02/23/2022] [Accepted: 02/26/2022] [Indexed: 01/31/2023] Open
Abstract
Extensive increases in cingulo-opercular frontal activity are typically observed during speech recognition in noise tasks. This elevated activity has been linked to a word recognition benefit on the next trial, termed "adaptive control," but how this effect might be implemented has been unclear. The established link between perceptual decision making and cingulo-opercular function may provide an explanation for how those regions benefit subsequent word recognition. In this case, processes that support recognition such as raising or lowering the decision criteria for more accurate or faster recognition may be adjusted to optimize performance on the next trial. The current neuroimaging study tested the hypothesis that pre-stimulus cingulo-opercular activity reflects criterion adjustments that determine how much information to collect for word recognition on subsequent trials. Participants included middle-age and older adults (N = 30; age = 58.3 ± 8.8 years; m ± sd) with normal hearing or mild sensorineural hearing loss. During a sparse fMRI experiment, words were presented in multitalker babble at +3 dB or +10 dB signal-to-noise ratio (SNR), which participants were instructed to repeat aloud. Word recognition was significantly poorer with increasing participant age and lower SNR compared to higher SNR conditions. A perceptual decision-making model was used to characterize processing differences based on task response latency distributions. The model showed that significantly less sensory evidence was collected (i.e., lower criteria) for lower compared to higher SNR trials. Replicating earlier observations, pre-stimulus cingulo-opercular activity was significantly predictive of correct recognition on a subsequent trial. Individual differences showed that participants with higher criteria also benefitted the most from pre-stimulus activity. Moreover, trial-level criteria changes were significantly linked to higher versus lower pre-stimulus activity. These results suggest cingulo-opercular cortex contributes to criteria adjustments to optimize speech recognition task performance.
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Affiliation(s)
- Kenneth I. Vaden
- Hearing Research Program, Department of Otolaryngology, Head and Neck Surgery, Medical University of South Carolina, 135 Rutledge Ave. MSC 550, Charleston, SC 29455-5500, United States,Corresponding author. (K.I. Vaden Jr)
| | - Susan Teubner-Rhodes
- Hearing Research Program, Department of Otolaryngology, Head and Neck Surgery, Medical University of South Carolina, 135 Rutledge Ave. MSC 550, Charleston, SC 29455-5500, United States,Department of Psychological Sciences, 226 Thach Hall, Auburn University, AL 36849-9027
| | - Jayne B. Ahlstrom
- Hearing Research Program, Department of Otolaryngology, Head and Neck Surgery, Medical University of South Carolina, 135 Rutledge Ave. MSC 550, Charleston, SC 29455-5500, United States
| | - Judy R. Dubno
- Hearing Research Program, Department of Otolaryngology, Head and Neck Surgery, Medical University of South Carolina, 135 Rutledge Ave. MSC 550, Charleston, SC 29455-5500, United States
| | - Mark A. Eckert
- Hearing Research Program, Department of Otolaryngology, Head and Neck Surgery, Medical University of South Carolina, 135 Rutledge Ave. MSC 550, Charleston, SC 29455-5500, United States
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167
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Kelz MB. Consciousness Rebound: The Second-Century Challenge for Anesthesiology and Neuroscience. Anesth Analg 2022; 134:1114-1117. [PMID: 35595687 DOI: 10.1213/ane.0000000000006049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Max B Kelz
- From the Department of Anesthesiology and Critical Care, Mahoney Institute for Neurological Sciences, Chronobiology and Sleep Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
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168
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Mizuno Y, Cai W, Supekar K, Makita K, Takiguchi S, Tomoda A, Menon V. Methylphenidate remediates aberrant brain network dynamics in children with attention-deficit/hyperactivity disorder: a randomized controlled trial. Neuroimage 2022; 257:119332. [PMID: 35640787 PMCID: PMC9286726 DOI: 10.1016/j.neuroimage.2022.119332] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 04/20/2022] [Accepted: 05/24/2022] [Indexed: 12/15/2022] Open
Abstract
Methylphenidate is a widely used first-line treatment for attention deficit/hyperactivity disorder (ADHD), but the underlying circuit mechanisms are poorly understood. Here we investigate whether a single dose of osmotic release oral system methylphenidate can remediate attention deficits and aberrancies in functional circuit dynamics in cognitive control networks, which have been implicated in ADHD. In a randomized placebo-controlled double-blind crossover design, 27 children with ADHD were scanned twice with resting-state functional MRI and sustained attention was examined using a continuous performance task under methylphenidate and placebo conditions; 49 matched typically-developing (TD) children were scanned once for comparison. Dynamic time-varying cross-network interactions between the salience (SN), frontoparietal (FPN), and default mode (DMN) networks were examined in children with ADHD under both administration conditions and compared with TD children. Methylphenidate improved sustained attention on a continuous performance task in children with ADHD, when compared to the placebo condition. Children with ADHD under placebo showed aberrancies in dynamic time-varying cross-network interactions between the SN, FPN and DMN, which were remediated by methylphenidate. Multivariate classification analysis confirmed that methylphenidate remediates aberrant dynamic brain network interactions. Furthermore, dynamic time-varying network interactions under placebo conditions predicted individual differences in methylphenidate-induced improvements in sustained attention in children with ADHD. These findings suggest that a single dose of methylphenidate can remediate deficits in sustained attention and aberrant brain circuit dynamics in cognitive control circuits in children with ADHD. Findings identify a novel brain circuit mechanism underlying a first-line pharmacological treatment for ADHD, and may inform clinically useful biomarkers for evaluating treatment outcomes.
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Affiliation(s)
- Yoshifumi Mizuno
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94304, USA; Research Center for Child Mental Development, University of Fukui, Fukui, 910-1193, Japan; Division of Developmental Higher Brain Functions, United Graduate School of Child Development, University of Fukui, Fukui, 910-1193, Japan; Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui, 910-1193, Japan.
| | - Weidong Cai
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94304, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94304, USA; Maternal & Child Health Research Institute, Stanford University, Stanford, CA 94304, USA
| | - Kaustubh Supekar
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94304, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94304, USA; Maternal & Child Health Research Institute, Stanford University, Stanford, CA 94304, USA
| | - Kai Makita
- Research Center for Child Mental Development, University of Fukui, Fukui, 910-1193, Japan; Division of Developmental Higher Brain Functions, United Graduate School of Child Development, University of Fukui, Fukui, 910-1193, Japan
| | - Shinichiro Takiguchi
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, University of Fukui, Fukui, 910-1193, Japan; Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui, 910-1193, Japan
| | - Akemi Tomoda
- Research Center for Child Mental Development, University of Fukui, Fukui, 910-1193, Japan; Division of Developmental Higher Brain Functions, United Graduate School of Child Development, University of Fukui, Fukui, 910-1193, Japan; Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui, 910-1193, Japan.
| | - Vinod Menon
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94304, USA; Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94304, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94304, USA; Maternal & Child Health Research Institute, Stanford University, Stanford, CA 94304, USA
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169
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Kuchling F, Fields C, Levin M. Metacognition as a Consequence of Competing Evolutionary Time Scales. ENTROPY (BASEL, SWITZERLAND) 2022; 24:601. [PMID: 35626486 PMCID: PMC9141326 DOI: 10.3390/e24050601] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 04/15/2022] [Accepted: 04/19/2022] [Indexed: 12/24/2022]
Abstract
Evolution is full of coevolving systems characterized by complex spatio-temporal interactions that lead to intertwined processes of adaptation. Yet, how adaptation across multiple levels of temporal scales and biological complexity is achieved remains unclear. Here, we formalize how evolutionary multi-scale processing underlying adaptation constitutes a form of metacognition flowing from definitions of metaprocessing in machine learning. We show (1) how the evolution of metacognitive systems can be expected when fitness landscapes vary on multiple time scales, and (2) how multiple time scales emerge during coevolutionary processes of sufficiently complex interactions. After defining a metaprocessor as a regulator with local memory, we prove that metacognition is more energetically efficient than purely object-level cognition when selection operates at multiple timescales in evolution. Furthermore, we show that existing modeling approaches to coadaptation and coevolution-here active inference networks, predator-prey interactions, coupled genetic algorithms, and generative adversarial networks-lead to multiple emergent timescales underlying forms of metacognition. Lastly, we show how coarse-grained structures emerge naturally in any resource-limited system, providing sufficient evidence for metacognitive systems to be a prevalent and vital component of (co-)evolution. Therefore, multi-scale processing is a necessary requirement for many evolutionary scenarios, leading to de facto metacognitive evolutionary outcomes.
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Affiliation(s)
- Franz Kuchling
- Department of Biology, Allen Discovery Center at Tufts University, Medford, MA 02155, USA;
| | - Chris Fields
- 23 Rue des Lavandières, 11160 Caunes Minervois, France;
| | - Michael Levin
- Department of Biology, Allen Discovery Center at Tufts University, Medford, MA 02155, USA;
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02138, USA
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170
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Abstract
A hallmark of adaptation in humans and other animals is our ability to control how we think and behave across different settings. Research has characterized the various forms cognitive control can take-including enhancement of goal-relevant information, suppression of goal-irrelevant information, and overall inhibition of potential responses-and has identified computations and neural circuits that underpin this multitude of control types. Studies have also identified a wide range of situations that elicit adjustments in control allocation (e.g., those eliciting signals indicating an error or increased processing conflict), but the rules governing when a given situation will give rise to a given control adjustment remain poorly understood. Significant progress has recently been made on this front by casting the allocation of control as a decision-making problem. This approach has developed unifying and normative models that prescribe when and how a change in incentives and task demands will result in changes in a given form of control. Despite their successes, these models, and the experiments that have been developed to test them, have yet to face their greatest challenge: deciding how to select among the multiplicity of configurations that control can take at any given time. Here, we will lay out the complexities of the inverse problem inherent to cognitive control allocation, and their close parallels to inverse problems within motor control (e.g., choosing between redundant limb movements). We discuss existing solutions to motor control's inverse problems drawn from optimal control theory, which have proposed that effort costs act to regularize actions and transform motor planning into a well-posed problem. These same principles may help shed light on how our brains optimize over complex control configuration, while providing a new normative perspective on the origins of mental effort.
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171
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Friedman NP, Robbins TW. The role of prefrontal cortex in cognitive control and executive function. Neuropsychopharmacology 2022; 47:72-89. [PMID: 34408280 PMCID: PMC8617292 DOI: 10.1038/s41386-021-01132-0] [Citation(s) in RCA: 353] [Impact Index Per Article: 176.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 07/20/2021] [Accepted: 07/22/2021] [Indexed: 12/30/2022]
Abstract
Concepts of cognitive control (CC) and executive function (EF) are defined in terms of their relationships with goal-directed behavior versus habits and controlled versus automatic processing, and related to the functions of the prefrontal cortex (PFC) and related regions and networks. A psychometric approach shows unity and diversity in CC constructs, with 3 components in the most commonly studied constructs: general or common CC and components specific to mental set shifting and working memory updating. These constructs are considered against the cellular and systems neurobiology of PFC and what is known of its functional neuroanatomical or network organization based on lesioning, neurochemical, and neuroimaging approaches across species. CC is also considered in the context of motivation, as "cool" and "hot" forms. Its Common CC component is shown to be distinct from general intelligence (g) and closely related to response inhibition. Impairments in CC are considered as possible causes of psychiatric symptoms and consequences of disorders. The relationships of CC with the general factor of psychopathology (p) and dimensional constructs such as impulsivity in large scale developmental and adult populations are considered, as well as implications for genetic studies and RDoC approaches to psychiatric classification.
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Affiliation(s)
- Naomi P Friedman
- Department of Psychology & Neuroscience and Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA.
| | - Trevor W Robbins
- Department of Psychology and Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK.
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172
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Xie W, Shu Y, Liu X, Li K, Li P, Kong L, Yu P, Huang L, Long T, Zeng L, Li H, Peng D. Abnormal Spontaneous Brain Activity and Cognitive Impairment in Obstructive Sleep Apnea. Nat Sci Sleep 2022; 14:1575-1587. [PMID: 36090000 PMCID: PMC9462436 DOI: 10.2147/nss.s376638] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Accepted: 08/28/2022] [Indexed: 11/23/2022] Open
Abstract
PURPOSE This study aimed to explore the alterations in spontaneous brain activity in obstructive sleep apnea (OSA) using percent amplitude of fluctuation (PerAF) and investigate the relationship between abnormal spontaneous brain activity and cognitive impairment in OSA. PATIENTS AND METHODS Overall, 52 patients with moderate to severe OSA and 61 healthy controls (HCs) were eventually enrolled in this study. All participants underwent resting-state functional magnetic resonance (rs-fMRI) and T1-weighted imaging. The PerAF was calculated and compared between patients with OSA and HCs, with voxel level P < 0.001 and cluster level P < 0.05 corrected with Gaussian Random Field was be considered statistically different. A partial correlation analysis was used to assess the relationship between altered PerAF and clinical assessments in patients with OSA. RESULTS Compared to HCs, patients with OSA had significantly lower PerAF values in the right rectal gyrus and left superior frontal gyrus, but higher PerAF values in the right cerebellum posterior lobe and left middle frontal gyrus. The PerAF values of some specific regions in patients with OSA correlated with sleep efficiency and Montreal Cognitive Assessment scores. Additionally, support vector machine analysis showed that PerAF values in all differential brain regions could differentiate patients with OSA from HCs with good accuracy. CONCLUSION Specific brain areas in OSA patients may exhibit aberrant neuronal activity, and these anomalies may be linked to decreased cognitive performance. This discovery offers fresh perspectives on these patients' neurocognition.
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Affiliation(s)
- Wei Xie
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China
| | - Yongqiang Shu
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China
| | - Xiang Liu
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China
| | - Kunyao Li
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China
| | - Panmei Li
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China
| | - Linghong Kong
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China
| | - Pengfei Yu
- Big Data Research Center, The Second Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China
| | - Ling Huang
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China
| | - Ting Long
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China
| | - Li Zeng
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China
| | - Haijun Li
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.,PET Center, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China
| | - Dechang Peng
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.,PET Center, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China
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173
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Wu Y, Yu XL, Xiao X, Li M, Li Y. Joint-Tissue Integrative Analysis Identified Hundreds of Schizophrenia Risk Genes. Mol Neurobiol 2021; 59:107-116. [PMID: 34628600 DOI: 10.1007/s12035-021-02572-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 09/16/2021] [Indexed: 12/14/2022]
Abstract
Genome-wide association studies (GWAS) have identified a large number of schizophrenia risk variants, and most of them are mapped to noncoding regions. By leveraging multiple joint-tissue gene expression data and GWAS data, we herein performed a transcriptome-wide association study (TWAS) and Mendelian randomization (MR) analysis and identified 144 genes whose mRNA levels were related to genetic risk of schizophrenia. Most of these genes exhibited diametrically opposite trends of expression in prenatal and postnatal brain tissues, despite that their expression levels in dorsolateral prefrontal cortex (DLPFC) tissues did not significantly differ between schizophrenics and healthy controls. We then found significant enrichment of these genes in dopamine-related pathways that were repeatedly implicated in schizophrenia pathogenesis and in the action of antipsychotic drugs. Gene expression analysis using single cell RNA-sequencing (scRNA-seq) data of mid-gestation fetal brains further revealed enrichment of these genes in glutamatergic excitatory neurons and cycling progenitors. These lines of evidence, in consistency with previous findings, confirmed the polygenic nature of schizophrenia and highlighted involvement of early neurodevelopment aberrations in this disorder. Further investigations using advanced algorithms in both bulk brain tissues and in single cells and at different developmental stages are necessary to characterize transcriptomic features of schizophrenia pathogenesis along brain development.
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Affiliation(s)
- Yong Wu
- Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Xiao-Lin Yu
- Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, Yunnan, China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, Yunnan, China. .,CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Yi Li
- Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China. .,Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, 430074, Hubei, China.
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