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Caruana GF, Carruthers SP, Berk M, Rossell SL, Van Rheenen TE. To what extent does white matter map to cognition in bipolar disorder? A systematic review of the evidence. Prog Neuropsychopharmacol Biol Psychiatry 2024; 128:110868. [PMID: 37797735 DOI: 10.1016/j.pnpbp.2023.110868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 09/19/2023] [Accepted: 10/01/2023] [Indexed: 10/07/2023]
Abstract
Cognitive impairment is a prominent feature of bipolar disorder (BD), however the neural substrates underpinning it remain unclear. Several studies have explored white matter as a correlate of cognitive functioning in BD cohorts, but mixed results and varied methodologies from one to another make inferences about this relationship difficult to draw. Here we sought to systematically synthesise the findings of these studies to more clearly explicate the nature and extent of relationships between white matter and cognition in BD and determine best practice methodologies and areas for future research in this area. Using PRISMA guidelines, we identified and systematically reviewed 37 relevant studies, all of which were cross-sectional by design. There was substantial methodological heterogeneity and variability in the clinical presentations of BD cohorts encapsulated within the studies we reviewed, which complicated our synthesis of the findings. Nonetheless, there was some evidence that cognition is related to both white matter macrostructure and microstructure in people with BD. In particular, multiple microstructural studies consistently reported that higher fractional anisotropy, both globally and in the corpus callosum, associated with better complex attention skills and executive functioning. However, several reports did not identify any associations at all, and in general, associations between WM and cognition tended to only be evident in studies utilising larger samples and post-hoc selection of WM regions of interest. Further research with increased statistical power and standardised methods are required moving forward.
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Affiliation(s)
- Georgia F Caruana
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Victoria 3053, Australia
| | - Sean P Carruthers
- Centre for Mental Health, School of Health Sciences, Swinburne University of Technology, Victoria 3122, Australia
| | - Michael Berk
- Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong 3220, Australia; Centre for Youth Mental Health and Orygen, The National Centre of Excellence in Youth Mental Health, University of Melbourne, Victoria 3052, Australia; Barwon Health, University Hospital Geelong, Victoria 3220, Australia; Florey Institute for Neuroscience and Mental Health, University of Melbourne, Victoria 3052, Australia
| | - Susan L Rossell
- Centre for Mental Health, School of Health Sciences, Swinburne University of Technology, Victoria 3122, Australia; St Vincent's Mental Health, St Vincent's Hospital, VIC, Australia
| | - Tamsyn E Van Rheenen
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Victoria 3053, Australia; Centre for Mental Health, School of Health Sciences, Swinburne University of Technology, Victoria 3122, Australia; Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong 3220, Australia.
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Chettouf S, Triebkorn P, Daffertshofer A, Ritter P. Unimanual sensorimotor learning-A simultaneous EEG-fMRI aging study. Hum Brain Mapp 2022; 43:2348-2364. [PMID: 35133058 PMCID: PMC8996364 DOI: 10.1002/hbm.25791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 12/24/2021] [Accepted: 01/09/2022] [Indexed: 11/06/2022] Open
Abstract
Sensorimotor coordination requires orchestrated network activity in the brain, mediated by inter‐ and intra‐hemispheric interactions that may be affected by aging‐related changes. We adopted a theoretical model, according to which intra‐hemispheric inhibition from premotor to primary motor cortex is mandatory to compensate for inter‐hemispheric excitation through the corpus callosum. To test this as a function of age we acquired electroencephalography (EEG) simultaneously with functional magnetic resonance imaging (fMRI) in two groups of healthy adults (younger N = 13: 20–25 year and older N = 14: 59–70 year) while learning a unimanual motor task. On average, quality of performance of older participants stayed significantly below that of the younger ones. Accompanying decreases in motor‐event‐related EEG β‐activity were lateralized toward contralateral motor regions, albeit more so in younger participants. In this younger group, the mean β‐power during motor task execution was significantly higher in bilateral premotor areas compared to the older adults. In both groups, fMRI blood oxygen level dependent (BOLD) signals were positively correlated with source‐reconstructed β‐amplitudes: positive in primary motor and negative in premotor cortex. This suggests that β‐amplitude modulation is associated with primary motor cortex “activation” (positive BOLD response) and premotor “deactivation” (negative BOLD response). Although the latter results did not discriminate between age groups, they underscore that enhanced modulation in primary motor cortex may be explained by a β‐associated excitatory crosstalk between hemispheres.
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Affiliation(s)
- Sabrina Chettouf
- Berlin Institute of Health at Charité, Universitätsmedizin Berlin, Charitéplatz 1, Berlin, Germany.,Department of Neurology with Experimental Neurology, Charité, Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Charitéplatz 1, Berlin, Germany.,Amsterdam Movement Sciences & Institute for Brain and Behavior Amsterdam, Faculty of Behavioural and Movement Sciences, Vrije Universiteit, Amsterdam
| | - Paul Triebkorn
- Berlin Institute of Health at Charité, Universitätsmedizin Berlin, Charitéplatz 1, Berlin, Germany.,Department of Neurology with Experimental Neurology, Charité, Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Charitéplatz 1, Berlin, Germany.,Institut de Neurosciences des Systèmes, Aix Marseille Université, Marseille, France
| | - Andreas Daffertshofer
- Amsterdam Movement Sciences & Institute for Brain and Behavior Amsterdam, Faculty of Behavioural and Movement Sciences, Vrije Universiteit, Amsterdam
| | - Petra Ritter
- Berlin Institute of Health at Charité, Universitätsmedizin Berlin, Charitéplatz 1, Berlin, Germany.,Department of Neurology with Experimental Neurology, Charité, Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Charitéplatz 1, Berlin, Germany.,Bernstein Center for Computational Neuroscience Berlin, Berlin, Germany.,Einstein Center for Neuroscience Berlin, Berlin, Germany.,Einstein Center Digital Future, Berlin, Germany
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Simonsson O, Bouso JC, Kurth F, Araújo DB, Gaser C, Riba J, Luders E. Preliminary evidence of links between ayahuasca use and the corpus callosum. Front Psychiatry 2022; 13:1002455. [PMID: 36386967 PMCID: PMC9643584 DOI: 10.3389/fpsyt.2022.1002455] [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: 07/25/2022] [Accepted: 10/05/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Recent research suggests that ayahuasca and its alkaloid-containing ingredients may be helpful in the treatment and prevention of certain movement and neurodegenerative disorders. However, such research is still in its infancy and more studies in normative samples seem necessary to explore effects of ayahuasca on clinically relevant brain structures, such as the corpus callosum. AIMS The purpose of the present study was to investigate links between ayahuasca use and callosal structure in a normative sample. METHODS Using structural imaging data from 22 ayahuasca users and 22 matched controls we compared the thickness of the corpus callosum between both groups at 100 equidistant points across the entire midsagittal surface. In addition, we investigated point-wise correlations between callosal thickness and the number of past ayahuasca sessions. RESULTS The corpus callosum was significantly thicker within the isthmus in the ayahuasca group than in the control group. There was also a significant positive correlation between callosal thickness and the number of past ayahuasca sessions within the rostral body, albeit none of these effects survived corrections for multiple comparisons. No region was significantly thicker in the control than in the ayahuasca group, and no callosal region was negatively linked to ayahuasca use, even at uncorrected significance thresholds. CONCLUSION This study provides preliminary evidence of links between ayahuasca use and the corpus callosum. However, future studies need to replicate these findings, preferably using larger sample sizes and ideally also utilizing longitudinal research designs, to draw any practical conclusion and offer implications for follow-up clinical research.
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Affiliation(s)
- Otto Simonsson
- Center for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.,Department of Sociology, University of Oxford, Oxford, United Kingdom
| | - José Carlos Bouso
- ICEERS-International Center for Ethnobotanical Education, Research and Services, Barcelona, Spain.,Medical Anthropology Research Center (MARC), Universitat Rovira i Virgili, Tarragona, Spain.,Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Florian Kurth
- School of Psychology, University of Auckland, Auckland, New Zealand
| | - Dráulio B Araújo
- Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil.,Onofre Lopes University Hospital, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Christian Gaser
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany.,Department of Neurology, Jena University Hospital, Jena, Germany
| | - Jordi Riba
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - Eileen Luders
- School of Psychology, University of Auckland, Auckland, New Zealand.,Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.,Laboratory of Neuro Imaging, School of Medicine, University of Southern California, Los Angeles, CA, United States
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Zangrossi A, Zanzotto G, Lorenzoni F, Indelicato G, Cannas Aghedu F, Cermelli P, Bisiacchi PS. Resting-state functional brain connectivity predicts cognitive performance: An exploratory study on a time-based prospective memory task. Behav Brain Res 2021; 402:113130. [PMID: 33444694 DOI: 10.1016/j.bbr.2021.113130] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 12/22/2020] [Accepted: 01/05/2021] [Indexed: 11/16/2022]
Abstract
Resting-state functional brain connectivity (rsFC) is in wide use for the investigation of a variety of cognitive neuroscience phenomena. In the first phase of this study, we explored the changes in EEG-reconstructed rsFC in young vs. older adults, in the both the open-eyes (OE) and the closed-eyes (CE) conditions. The results showed significant differences in several rsFC network metrics in the two age groups, confirming and detailing established knowledge that aging modulates brain functional organisation. In the study's second phase we investigated the role of rsFC architecture on cognitive performance through a time-based Prospective Memory task involving participants who monitored the passage of time to perform a specific action at an appropriate time in the future. Regression models revealed that the monitoring strategy (i.e. the number of clock checks) can be predicted by rsFC graph metric, specifically, eccentricity and betweenness in the OE condition, and assortativity in the CE condition. These results show for the first time how metrics qualifying functional brain connectivity at rest can account for the differences in the way individuals strategically handle cognitive loads in the Prospective Memory domain.
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Affiliation(s)
- Andrea Zangrossi
- Department of Neuroscience, University of Padova, Padova, Italy; Padova Neuroscience Center (PNC), University of Padova, Padova, Italy.
| | - Giovanni Zanzotto
- Padova Neuroscience Center (PNC), University of Padova, Padova, Italy; Department of General Psychology, University of Padova, Padova, Italy
| | | | - Giuliana Indelicato
- York Cross-disciplinary Centre for Systems Analysis, Department of Mathematics, University of York, UK
| | | | | | - Patrizia Silvia Bisiacchi
- Padova Neuroscience Center (PNC), University of Padova, Padova, Italy; Department of General Psychology, University of Padova, Padova, Italy
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Zhao J, Manza P, Wiers C, Song H, Zhuang P, Gu J, Shi Y, Wang GJ, He D. Age-Related Decreases in Interhemispheric Resting-State Functional Connectivity and Their Relationship With Executive Function. Front Aging Neurosci 2020; 12:20. [PMID: 32161532 PMCID: PMC7054233 DOI: 10.3389/fnagi.2020.00020] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2019] [Accepted: 01/21/2020] [Indexed: 11/13/2022] Open
Abstract
Age-related alterations of functional brain networks contribute to cognitive decline. Current theories indicate that age-related intrinsic brain functional reorganization may be a critical marker of cognitive aging. Yet, little is known about how intrinsic interhemispheric functional connectivity changes with age in adults, and how this relates to critical executive functions. To address this, we examined voxel-mirrored homotopic connectivity (VMHC), a metric that quantifies interhemispheric communication, in 93 healthy volunteers (age range: 19-85) with executive function assessment using the Delis-Kaplan Executive Function System (D-KEFS) scales. Resting functional MRI data were analyzed to assess VMHC, and then a multiple linear regression model was employed to evaluate the relationship between age and the whole-brain VMHC. We observed age-related reductions in VMHC of ventromedial prefrontal cortex (vmPFC) and hippocampus in the medial temporal lobe subsystem, dorsal anterior cingulate cortex and insula in salience network, and inferior parietal lobule in frontoparietal control network. Performance on the color-word inhibition task was associated with VMHC of vmPFC and insula, and VMHC of vmPFC mediated the relationship between age and CWIT inhibition reaction times. The percent ratio of correct design scores in design fluency test correlated positively with VMHC of the inferior parietal lobule. The current study suggests that brain interhemispheric functional alterations may be a promising new avenue for understanding age-related cognitive decline.
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Affiliation(s)
- Jizheng Zhao
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, China
- Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture, Yangling, China
- Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, Yangling, China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, United States
| | - Corinde Wiers
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, United States
| | - Huaibo Song
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, China
- Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture, Yangling, China
- Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, Yangling, China
| | - Puning Zhuang
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, China
- Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture, Yangling, China
- Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, Yangling, China
| | - Jun Gu
- Department of Endocrinology, First Affiliated Hospital of Hebei North University, Zhangjiakou, China
| | - Yinggang Shi
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, China
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, United States
| | - Dongjian He
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, China
- Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture, Yangling, China
- Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, Yangling, China
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Wang D, Luo Y, Mok VCT, Chu WCW, Shi L. Tractography atlas-based spatial statistics: Statistical analysis of diffusion tensor image along fiber pathways. Neuroimage 2016; 125:301-310. [PMID: 26481677 DOI: 10.1016/j.neuroimage.2015.10.032] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2015] [Revised: 09/29/2015] [Accepted: 10/12/2015] [Indexed: 11/28/2022] Open
Affiliation(s)
- Defeng Wang
- Research Center for Medical Image Computing, Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, China; CUHK Shenzhen Research Institute, Shenzhen, China
| | - Yishan Luo
- Research Center for Medical Image Computing, Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, China
| | - Vincent C T Mok
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, China; Chow Yuk Ho Center of Innovative Technology for Medicine, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, China
| | - Winnie C W Chu
- Research Center for Medical Image Computing, Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, China; CUHK Shenzhen Research Institute, Shenzhen, China
| | - Lin Shi
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, China; Chow Yuk Ho Center of Innovative Technology for Medicine, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, China.
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