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Li C, Lu Y, Yu S, Cui Y. TS-AI: A deep learning pipeline for multimodal subject-specific parcellation with task contrasts synthesis. Med Image Anal 2024; 97:103297. [PMID: 39154619 DOI: 10.1016/j.media.2024.103297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 07/31/2024] [Accepted: 08/02/2024] [Indexed: 08/20/2024]
Abstract
Accurate mapping of brain functional subregions at an individual level is crucial. Task-based functional MRI (tfMRI) captures subject-specific activation patterns during various functions and behaviors, facilitating the individual localization of functionally distinct subregions. However, acquiring high-quality tfMRI is time-consuming and resource-intensive in both scientific and clinical settings. The present study proposes a two-stage network model, TS-AI, to individualize an atlas on cortical surfaces through the prediction of tfMRI data. TS-AI first synthesizes a battery of task contrast maps for each individual by leveraging tract-wise anatomical connectivity and resting-state networks. These synthesized maps, along with feature maps of tract-wise anatomical connectivity and resting-state networks, are then fed into an end-to-end deep neural network to individualize an atlas. TS-AI enables the synthesized task contrast maps to be used in individual parcellation without the acquisition of actual task fMRI scans. In addition, a novel feature consistency loss is designed to assign vertices with similar features to the same parcel, which increases individual specificity and mitigates overfitting risks caused by the absence of individual parcellation ground truth. The individualized parcellations were validated by assessing test-retest reliability, homogeneity, and cognitive behavior prediction using diverse reference atlases and datasets, demonstrating the superior performance and generalizability of TS-AI. Sensitivity analysis yielded insights into region-specific features influencing individual variation in functional regionalization. Additionally, TS-AI identified accelerated shrinkage in the medial temporal and cingulate parcels during the progression of Alzheimer's disease, suggesting its potential in clinical research and applications.
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Affiliation(s)
- Chengyi Li
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China; Key Laboratory of Brian Cognition and Brain-inspired Intelligence Technology, Chinese Academy of Sciences, Beijing, China
| | - Yuheng Lu
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China; Key Laboratory of Brian Cognition and Brain-inspired Intelligence Technology, Chinese Academy of Sciences, Beijing, China
| | - Shan Yu
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China; Key Laboratory of Brian Cognition and Brain-inspired Intelligence Technology, Chinese Academy of Sciences, Beijing, China; School of Future Technology, University of Chinese Academy of Sciences, Beijing, China.
| | - Yue Cui
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China; Key Laboratory of Brian Cognition and Brain-inspired Intelligence Technology, Chinese Academy of Sciences, Beijing, China.
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Herlin B, Uszynski I, Chauvel M, Dupont S, Poupon C. Sex-related variability of white matter tracts in the whole HCP cohort. Brain Struct Funct 2024:10.1007/s00429-024-02833-0. [PMID: 39012482 DOI: 10.1007/s00429-024-02833-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Accepted: 07/06/2024] [Indexed: 07/17/2024]
Abstract
Behavioral differences between men and women have been studied extensively, as have differences in brain anatomy. However, most studies have focused on differences in gray matter, while white matter has been much less studied. We conducted a comprehensive study of 77 deep white matter tracts to analyze their volumetric and microstructural variability between men and women in the full Human Connectome Project (HCP) cohort of 1065 healthy individuals aged 22-35 years. We found a significant difference in total brain volume between men and women (+ 12.6% in men), consistent with the literature. 16 tracts showed significant volumetric differences between men and women, one of which stood out due to a larger effect size: the corpus callosum genu, which was larger in women (+ 7.3% in women, p = 5.76 × 10-19). In addition, we found several differences in microstructural parameters between men and women, both using standard Diffusion Tensor Imaging (DTI) parameters and more complex microstructural parameters from the Neurite Orientation Dispersion and Density Imaging (NODDI) model, with the tracts showing the greatest differences belonging to motor (cortico-spinal tracts, cortico-cerebellar tracts) or limbic (cingulum, fornix, thalamo-temporal radiations) systems. These microstructural differences may be related to known behavioral differences between the sexes in timed motor performance, aggressiveness/impulsivity, and social cognition.
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Affiliation(s)
- B Herlin
- BAOBAB, NeuroSpin, Université Paris-Saclay, CNRS, CEA, Gif-Sur-Yvette, France.
- Rehabilitation Unit, AP-HP, Pitié-Salpêtrière Hospital, Paris, France.
- Université Paris Sorbonne, Paris, France.
| | - I Uszynski
- BAOBAB, NeuroSpin, Université Paris-Saclay, CNRS, CEA, Gif-Sur-Yvette, France
| | - M Chauvel
- BAOBAB, NeuroSpin, Université Paris-Saclay, CNRS, CEA, Gif-Sur-Yvette, France
| | - S Dupont
- Reference Center for Rare Epilepsies, Department of Neurology, Epileptology Unit, AP-HP, Pitié-Salpêtrière Hospital, Paris, France
- Rehabilitation Unit, AP-HP, Pitié-Salpêtrière Hospital, Paris, France
- Paris Brain Institute (ICM), Sorbonne-Université, Inserm U1127, CNRS 7225, Paris, France
- Université Paris Sorbonne, Paris, France
| | - C Poupon
- BAOBAB, NeuroSpin, Université Paris-Saclay, CNRS, CEA, Gif-Sur-Yvette, France
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van der Horn HJ, de Koning ME, Visser K, Kok MGJ, Spikman JM, Scheenen ME, Renken RJ, Calhoun VD, Vergara VM, Cabral J, Mayer AR, van der Naalt J. Dynamic phase-locking states and personality in sub-acute mild traumatic brain injury: An exploratory study. PLoS One 2023; 18:e0295984. [PMID: 38100479 PMCID: PMC10723684 DOI: 10.1371/journal.pone.0295984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 12/01/2023] [Indexed: 12/17/2023] Open
Abstract
Research has shown that maladaptive personality characteristics, such as Neuroticism, are associated with poor outcome after mild traumatic brain injury (mTBI). The current exploratory study investigated the neural underpinnings of this process using dynamic functional network connectivity (dFNC) analyses of resting-state (rs) fMRI, and diffusion MRI (dMRI). Twenty-seven mTBI patients and 21 healthy controls (HC) were included. After measuring the Big Five personality dimensions, principal component analysis (PCA) was used to obtain a superordinate factor representing emotional instability, consisting of high Neuroticism, moderate Openness, and low Extraversion, Agreeableness, and Conscientiousness. Persistent symptoms were measured using the head injury symptom checklist at six months post-injury; symptom severity (i.e., sum of all items) was used for further analyses. For patients, brain MRI was performed in the sub-acute phase (~1 month) post-injury. Following parcellation of rs-fMRI using independent component analysis, leading eigenvector dynamic analysis (LEiDA) was performed to compute dynamic phase-locking brain states. Main patterns of brain diffusion were computed using tract-based spatial statistics followed by PCA. No differences in phase-locking state measures were found between patients and HC. Regarding dMRI, a trend significant decrease in fractional anisotropy was found in patients relative to HC, particularly in the fornix, genu of the corpus callosum, anterior and posterior corona radiata. Visiting one specific phase-locking state was associated with lower symptom severity after mTBI. This state was characterized by two clearly delineated communities (each community consisting of areas with synchronized phases): one representing an executive/saliency system, with a strong contribution of the insulae and basal ganglia; the other representing the canonical default mode network. In patients who scored high on emotional instability, this relationship was even more pronounced. Dynamic phase-locking states were not related to findings on dMRI. Altogether, our results provide preliminary evidence for the coupling between personality and dFNC in the development of long-term symptoms after mTBI.
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Affiliation(s)
- Harm J. van der Horn
- Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- The Mind Research Network/Lovelace Biomedical Research Institute, Pete & Nancy Domenici Hall, Albuquerque, NM, United States of America
| | | | - Koen Visser
- Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Marius G. J. Kok
- Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Jacoba M. Spikman
- Department of Neuropsychology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Myrthe E. Scheenen
- Department of Neuropsychology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Remco J. Renken
- Department of Neuroscience, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Vince D. Calhoun
- Tri-institutional Center for Translational Research (TReNDS), Georgia State, Georgia Tech, Emory, Atlanta, GA, United States of America
| | - Victor M. Vergara
- Tri-institutional Center for Translational Research (TReNDS), Georgia State, Georgia Tech, Emory, Atlanta, GA, United States of America
| | - Joana Cabral
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
| | - Andrew R. Mayer
- The Mind Research Network/Lovelace Biomedical Research Institute, Pete & Nancy Domenici Hall, Albuquerque, NM, United States of America
- Department of Neurology, University of New Mexico School of Medicine, Albuquerque, NM, United States of America
- Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque, NM, United States of America
- Department of Psychology, University of New Mexico School of Medicine, Albuquerque, NM, United States of America
| | - Joukje van der Naalt
- Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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4
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Fabres RB, Cardoso DS, Aragón BA, Arruda BP, Martins PP, Ikebara JM, Drobyshevsky A, Kihara AH, de Fraga LS, Netto CA, Takada SH. Consequences of oxygen deprivation on myelination and sex-dependent alterations. Mol Cell Neurosci 2023; 126:103864. [PMID: 37268283 DOI: 10.1016/j.mcn.2023.103864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 05/07/2023] [Accepted: 05/25/2023] [Indexed: 06/04/2023] Open
Abstract
Oxygen deprivation is one of the main causes of morbidity and mortality in newborns, occurring with a higher prevalence in preterm infants, reaching 20 % to 50 % mortality in newborns in the perinatal period. When they survive, 25 % exhibit neuropsychological pathologies, such as learning difficulties, epilepsy, and cerebral palsy. White matter injury is one of the main features found in oxygen deprivation injury, which can lead to long-term functional impairments, including cognitive delay and motor deficits. The myelin sheath accounts for much of the white matter in the brain by surrounding axons and enabling the efficient conduction of action potentials. Mature oligodendrocytes, which synthesize and maintain myelination, also comprise a significant proportion of the brain's white matter. In recent years, oligodendrocytes and the myelination process have become potential therapeutic targets to minimize the effects of oxygen deprivation on the central nervous system. Moreover, evidence indicate that neuroinflammation and apoptotic pathways activated during oxygen deprivation may be influenced by sexual dimorphism. To summarize the most recent research about the impact of sexual dimorphism on the neuroinflammatory state and white matter injury after oxygen deprivation, this review presents an overview of the oligodendrocyte lineage development and myelination, the impact of oxygen deprivation and neuroinflammation on oligodendrocytes in neurodevelopmental disorders, and recent reports about sexual dimorphism regarding the neuroinflammation and white matter injury after neonatal oxygen deprivation.
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Affiliation(s)
- Rafael Bandeira Fabres
- Departamento de Bioquímica, Universidade Federal do Rio Grande do Sul (UFRGS), Ramiro Barcelos, 2600, Porto Alegre 90035-003, Brazil
| | - Débora Sterzeck Cardoso
- Neurogenetics Laboratory, Universidade Federal do ABC, Alameda da Universidade, s/n, São Bernardo do Campo 09606-045, Brazil
| | | | - Bruna Petrucelli Arruda
- Neurogenetics Laboratory, Universidade Federal do ABC, Alameda da Universidade, s/n, São Bernardo do Campo 09606-045, Brazil
| | - Pamela Pinheiro Martins
- Neurogenetics Laboratory, Universidade Federal do ABC, Alameda da Universidade, s/n, São Bernardo do Campo 09606-045, Brazil
| | - Juliane Midori Ikebara
- Neurogenetics Laboratory, Universidade Federal do ABC, Alameda da Universidade, s/n, São Bernardo do Campo 09606-045, Brazil
| | | | - Alexandre Hiroaki Kihara
- Neurogenetics Laboratory, Universidade Federal do ABC, Alameda da Universidade, s/n, São Bernardo do Campo 09606-045, Brazil
| | - Luciano Stürmer de Fraga
- Departamento de Fisiologia, Universidade Federal do Rio Grande do Sul (UFRGS), Sarmento Leite, 500, Porto Alegre 90050-170, Brazil
| | - Carlos Alexandre Netto
- Departamento de Bioquímica, Universidade Federal do Rio Grande do Sul (UFRGS), Ramiro Barcelos, 2600, Porto Alegre 90035-003, Brazil
| | - Silvia Honda Takada
- Neurogenetics Laboratory, Universidade Federal do ABC, Alameda da Universidade, s/n, São Bernardo do Campo 09606-045, Brazil.
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Stammen C, Fraenz C, Grazioplene RG, Schlüter C, Merhof V, Johnson W, Güntürkün O, DeYoung CG, Genç E. Robust associations between white matter microstructure and general intelligence. Cereb Cortex 2023:6994402. [PMID: 36682883 DOI: 10.1093/cercor/bhac538] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 12/21/2022] [Accepted: 12/22/2022] [Indexed: 01/24/2023] Open
Abstract
Few tract-based spatial statistics (TBSS) studies have investigated the relations between intelligence and white matter microstructure in healthy (young) adults, and those have yielded mixed observations, yet white matter is fundamental for efficient and accurate information transfer throughout the human brain. We used a multicenter approach to identify white matter regions that show replicable structure-function associations, employing data from 4 independent samples comprising over 2000 healthy participants. TBSS indicated 188 voxels exhibited significant positive associations between g factor scores and fractional anisotropy (FA) in all 4 data sets. Replicable voxels formed 3 clusters, located around the left-hemispheric forceps minor, superior longitudinal fasciculus, and cingulum-cingulate gyrus with extensions into their surrounding areas (anterior thalamic radiation, inferior fronto-occipital fasciculus). Our results suggested that individual differences in general intelligence are robustly associated with white matter FA in specific fiber bundles distributed across the brain, consistent with the Parieto-Frontal Integration Theory of intelligence. Three possible reasons higher FA values might create links with higher g are faster information processing due to greater myelination, more direct information processing due to parallel, homogenous fiber orientation distributions, or more parallel information processing due to greater axon density.
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Affiliation(s)
- Christina Stammen
- Department of Psychology and Neuroscience, Leibniz Research Centre for Working Environment and Human Factors (IfADo), 44139 Dortmund, Germany
| | - Christoph Fraenz
- Department of Psychology and Neuroscience, Leibniz Research Centre for Working Environment and Human Factors (IfADo), 44139 Dortmund, Germany
| | | | - Caroline Schlüter
- Department of Biopsychology, Institute of Cognitive Neuroscience, Ruhr University Bochum, 44801 Bochum, Germany
| | - Viola Merhof
- Chair of Research Methods and Psychological Assessment, University of Mannheim, 68161 Mannheim, Germany
| | - Wendy Johnson
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, United Kingdom
| | - Onur Güntürkün
- Department of Biopsychology, Institute of Cognitive Neuroscience, Ruhr University Bochum, 44801 Bochum, Germany
| | - Colin G DeYoung
- Department of Psychology, University of Minnesota, Minneapolis, MN 55455, United States
| | - Erhan Genç
- Department of Psychology and Neuroscience, Leibniz Research Centre for Working Environment and Human Factors (IfADo), 44139 Dortmund, Germany
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Hayashi M, Okuyama K, Mizuguchi N, Hirose R, Okamoto T, Kawakami M, Ushiba J. Spatially bivariate EEG-neurofeedback can manipulate interhemispheric inhibition. eLife 2022; 11:76411. [PMID: 35796537 PMCID: PMC9302968 DOI: 10.7554/elife.76411] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 07/06/2022] [Indexed: 11/19/2022] Open
Abstract
Human behavior requires inter-regional crosstalk to employ the sensorimotor processes in the brain. Although external neuromodulation techniques have been used to manipulate interhemispheric sensorimotor activity, a central controversy concerns whether this activity can be volitionally controlled. Experimental tools lack the power to up- or down-regulate the state of the targeted hemisphere over a large dynamic range and, therefore, cannot evaluate the possible volitional control of the activity. We addressed this difficulty by using the recently developed method of spatially bivariate electroencephalography (EEG)-neurofeedback to systematically enable the participants to modulate their bilateral sensorimotor activities. Here, we report that participants learn to up- and down-regulate the ipsilateral excitability to the imagined hand while maintaining constant contralateral excitability; this modulates the magnitude of interhemispheric inhibition (IHI) assessed by the paired-pulse transcranial magnetic stimulation (TMS) paradigm. Further physiological analyses revealed that the manipulation capability of IHI magnitude reflected interhemispheric connectivity in EEG and TMS, which was accompanied by intrinsic bilateral cortical oscillatory activities. Our results show an interesting approach for neuromodulation, which might identify new treatment opportunities, e.g., in patients suffering from a stroke.
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Affiliation(s)
- Masaaki Hayashi
- Graduate School of Science and Technology, Keio University, Kanagawa, Japan
| | - Kohei Okuyama
- Department of Rehabilitation Medicine, Keio University, Tokyo, Japan
| | - Nobuaki Mizuguchi
- Research Organization of Science and Technology, Ritsumeikan University, Shiga, Japan
| | - Ryotaro Hirose
- Graduate School of Science and Technology, Keio University, Kanagawa, Japan
| | - Taisuke Okamoto
- Graduate School of Science and Technology, Keio University, Kanagawa, Japan
| | | | - Junichi Ushiba
- Faculty of Science and Technology, Keio University, Kanagawa, Japan
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Frischkorn GT, Hilger K, Kretzschmar A, Schubert AL. Intelligenzdiagnostik der Zukunft. PSYCHOLOGISCHE RUNDSCHAU 2022. [DOI: 10.1026/0033-3042/a000598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Zusammenfassung. Die menschliche Intelligenz ist eines der am besten erforschten und validierten Konstrukte innerhalb der Psychologie. Dennoch wird die Validität von Intelligenztests im gruppen- und insbesondere kulturvergleichenden Kontext regelmäßig und berechtigterweise kritisch hinterfragt. Obwohl verschiedene Alternativen und Weiterentwicklungen der Intelligenzdiagnostik vorgeschlagen wurden (z. B. kulturfaire Tests), sind fundamentale Probleme in der vergleichenden Intelligenzdiagnostik noch immer ungelöst und die Validitäten entsprechender Verfahren unklar. In dem vorliegenden Positionspapier wird diese Thematik aus der Perspektive der Kognitionspsychologie und der kognitiven Neurowissenschaften beleuchtet und eine prozessorientierte und biologisch inspirierte Form der Intelligenzdiagnostik als potentieller Lösungsansatz vorgeschlagen. Wir zeigen die Bedeutung elementarer kognitiver Prozesse auf (insbesondere Arbeitsgedächtniskapazität, Aufmerksamkeit, Verarbeitungsgeschwindigkeit), die individuellen Leistungsunterschieden zu Grunde liegen, und betonen, dass der Unterscheidung zwischen Inhalten und Prozessen eine zentrale, jedoch oft vernachlässigte Rolle in der Diagnostik allgemeiner kognitiver Leistungsunterschiede zukommt. Während aus kognitions- und neuropsychologischer Sicht davon ausgegangen werden kann, dass sich insbesondere Prozesse für interkulturelle Vergleiche eignen, sollten Inhalte als stärker kulturspezifisch verstanden werden. Darauf aufbauend diskutieren wir drei verschiedene Ansätze zur Verbesserung interkultureller Vergleichbarkeit der Intelligenzdiagnostik sowie deren Grenzen. Wir postulieren, dass sich die Intelligenzforschung im Austausch mit verschiedenen Disziplinen stärker auf die Identifikation von generellen kognitiven Prozessen fokussieren sollte und diskutieren das Potenzial zukünftiger Forschung hin zu einer prozessorientierten und biologisch inspirierten Intelligenzdiagnostik. Schließlich zeigen wir derzeitige Möglichkeiten auf, gehen aber auch auf etwaige Herausforderungen ein und beleuchten Implikationen für die zukünftige Intelligenzdiagnostik und -forschung.
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Affiliation(s)
| | - Kirsten Hilger
- Institut für Psychologie, Universität Würzburg, Deutschland
| | | | - Anna-Lena Schubert
- Psychologisches Institut, Universität Heidelberg, Deutschland
- Psychologisches Institut, Universität Mainz, Deutschland
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Schuster V, Jansen A. 'That Time of the Month' - Investigating the Influence of the Menstrual Cycle and Oral Contraceptives on the Brain Using Magnetic Resonance Imaging. Exp Clin Endocrinol Diabetes 2022; 130:303-312. [PMID: 35605601 DOI: 10.1055/a-1816-8203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
The stereotypic and oversimplified relationship between female sex hormones and undesirable behavior dates to the earliest days of human society, as already the ancient Greek word for the uterus, "hystera" indicated an aversive connection. Remaining and evolving throughout the centuries, transcending across cultures and various aspects of everyday life, its perception was only recently reframed. Contemporarily, the complex interaction of hormonal phases (i. e., the menstrual cycle), hormonal medication (i. e., oral contraceptives), women's psychological well-being, and behavior is the subject of multifaceted and more reflected discussions. A driving force of this ongoing paradigm shift was the introduction of this highly interesting and important topic into the realm of scientific research. This refers to neuroscientific research as it enables a multimodal approach combining aspects of physiology, medicine, and psychology. Here a growing body of literature points towards significant alterations of both brain function, such as lateralization of cognitive functions, and structure, such as gray matter concentrations, due to fluctuations and changes in hormonal levels. This especially concerns female sex hormones. However, the more research is conducted within this field, the less reliable these observations and derived insights appear. This may be due to two particular factors: measurement inconsistencies and diverse hormonal phases accompanied by interindividual differences. The first factor refers to the prominent unreliability of one of the primarily utilized neuroscientific research instruments: functional magnetic resonance imaging (fMRI). This unreliability is seemingly present in paradigms and analyses, and their interplay, and is additionally affected by the second factor. In more detail, hormonal phases and levels further influence neuroscientific results obtained through fMRI as outcomes vary drastically across different cycle phases and medication. This resulting vast uncertainty thus tremendously hinders the further advancement of our understanding of how female sex hormones might alter brain structure and function and, ultimately, behavior.This review summarizes parts of the current state of research and outlines the essential requirements to further investigate and understand the female brain's underlying physiological and anatomical features.
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Affiliation(s)
- Verena Schuster
- Laboratory for Multimodal Neuroimaging, Department of Psychiatry and Psychotherapy, University of Marburg, Germany
| | - Andreas Jansen
- Laboratory for Multimodal Neuroimaging, Department of Psychiatry and Psychotherapy, University of Marburg, Germany.,Core-Unit Brainimaging, Faculty of Medicine, University of Marburg, Germany
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Yeske B, Hou J, Adluru N, Nair VA, Prabhakaran V. Differences in Diffusion Tensor Imaging White Matter Integrity Related to Verbal Fluency Between Young and Old Adults. Front Aging Neurosci 2021; 13:750621. [PMID: 34880746 PMCID: PMC8647802 DOI: 10.3389/fnagi.2021.750621] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 10/14/2021] [Indexed: 12/14/2022] Open
Abstract
Throughout adulthood, the brain undergoes an array of structural and functional changes during the typical aging process. These changes involve decreased brain volume, reduced synaptic density, and alterations in white matter (WM). Although there have been some previous neuroimaging studies that have measured the ability of adult language production and its correlations to brain function, structural gray matter volume, and functional differences between young and old adults, the structural role of WM in adult language production in individuals across the life span remains to be thoroughly elucidated. This study selected 38 young adults and 35 old adults for diffusion tensor imaging (DTI) and performed the Controlled Oral Word Association Test to assess verbal fluency (VF). Tract-Based Spatial Statistics were employed to evaluate the voxel-based group differences of diffusion metrics for the values of fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), radial diffusivity (RD), and local diffusion homogeneity (LDH) in 12 WM regions of interest associated with language production. To investigate group differences on each DTI metric, an analysis of covariance (ANCOVA) controlling for sex and education level was performed, and the statistical threshold was considered at p < 0.00083 (0.05/60 labels) after Bonferroni correction for multiple comparisons. Significant differences in DTI metrics identified in the ANCOVA were used to perform correlation analyses with VF scores. Compared to the old adults, the young adults had significantly (1) increased FA values on the bilateral anterior corona radiata (ACR); (2) decreased MD values on the right ACR, but increased MD on the left uncinate fasciculus (UF); and (3) decreased RD on the bilateral ACR. There were no significant differences between the groups for AD or LDH. Moreover, the old adults had only a significant correlation between the VF score and the MD on the left UF. There were no significant correlations between VF score and DTI metrics in the young adults. This study adds to the growing body of research that WM areas involved in language production are sensitive to aging.
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Affiliation(s)
- Benjamin Yeske
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, United States
| | - Jiancheng Hou
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, United States
- Center for Cross-Strait Cultural Development, Fujian Normal University, Fuzhou, China
| | - Nagesh Adluru
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, United States
- Waisman Center, University of Wisconsin–Madison, Madison, WI, United States
| | - Veena A. Nair
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, United States
| | - Vivek Prabhakaran
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, United States
- Department of Psychology, Department of Psychiatry, University of Wisconsin–Madison, Madison, WI, United States
- Neuroscience Training Program, University of Wisconsin–Madison, Madison, WI, United States
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11
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Molloy CJ, Nugent S, Bokde ALW. Alterations in Diffusion Measures of White Matter Integrity Associated with Healthy Aging. J Gerontol A Biol Sci Med Sci 2021; 76:945-954. [PMID: 31830253 DOI: 10.1093/gerona/glz289] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Indexed: 12/12/2022] Open
Abstract
This study aimed to characterize age-related white matter changes by evaluating patterns of overlap between the linear association of age with fractional anisotropy (FA) with mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD). Specifically, we assessed patterns of overlap between diffusion measures of normal appearing white matter by covarying for white matter hyperintensity (WMH) load, as WMHs are thought to increase with age and impact diffusion measures. Seventy-nine healthy adults aged between 18 and 75 years took part in the study. Diffusion tensor imaging (DTI) data were based on 61 directions acquired with a b-value of 2,000. We found five main patterns of overlap: FA alone (15.95%); FA and RD (31.90%); FA and AD (12.99%); FA, RD, and AD (27.93%); and FA, RD, and MD (8.79%). We showed that cognitively healthy aging adults had low WMH load, which subsequently had minimal effect on diffusion measures. We discuss how patterns of overlap may reflect underlying biological changes observed with aging such as loss of myelination, axonal damage, as well as mild microstructural and chronic white matter impairments. This study contributes to understanding the underlying causes of degeneration in specific regions of the brain and highlights the importance of considering the impact of WMHs in aging studies of white matter.
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Affiliation(s)
- Ciara J Molloy
- Cognitive Systems Group, Discipline of Psychiatry, School of Medicine, Ireland
- Trinity College Institute of Neuroscience, Trinity College Dublin, Ireland
| | - Sinead Nugent
- Cognitive Systems Group, Discipline of Psychiatry, School of Medicine, Ireland
- Trinity College Institute of Neuroscience, Trinity College Dublin, Ireland
| | - Arun L W Bokde
- Cognitive Systems Group, Discipline of Psychiatry, School of Medicine, Ireland
- Trinity College Institute of Neuroscience, Trinity College Dublin, Ireland
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12
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Hsu CCH, Huang CC, Tsai SJ, Chen LK, Li HC, Lo CYZ, Lin CP. Differential Age Trajectories of White Matter Changes Between Sexes Correlate with Cognitive Performances. Brain Connect 2021; 11:759-771. [PMID: 33858197 DOI: 10.1089/brain.2020.0961] [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] [Indexed: 11/12/2022] Open
Abstract
Background: Aging is accompanied by a gradual deterioration in multiple cognitive abilities and brain structures. Both cognitive function and white matter (WM) structure are found to be associated with neurodegeneration diseases and correlated with sex during aging. However, it is still unclear whether the brain structural change could be attributable to sex, and how sex would affect cognitive performances during aging. Materials and Methods: Diffusion magnetic resonance imaging (MRI) scans were performed on 1127 healthy participants (age range: 21-89) at a single site. The age trajectories of the WM tract microstructure were delineated to estimate the turning age and changing rate between sexes. The canonical correlation analysis and moderated mediation analysis were used to examine the relationship between sex-linked WM tracts and cognitive performances. Results: The axon intactness and demyelination of sex-linked tracts during aging were multifaceted. Sex-linked tracts in females peak around 5 years later than those in males but change significantly faster after the turning age. Projection and association tracts (e.g., corticospinal tracts and parahippocampal cingulum) contributed to a significant decrease in visuospatial functions (VS) and executive functions (E). We discovered that there is a stronger indirect effect of sex-linked tracts on cognitive functions in females than in males. Conclusion: Our findings suggest that the vulnerable projection and association tracts in females may induce negative impacts on integrating multiple functions, which results in a faster decrease in VS and E.
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Affiliation(s)
- Chih-Chin Heather Hsu
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan.,Center of Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Chu-Chung Huang
- Key Laboratory of Brain Functional Genomics (MOE & STCSM), Affiliated Mental Health Center (ECNU), Institute of Cognitive Neuroscience, School of Psychology and Cognitive Science, East China Normal University, Shanghai, China.,Shanghai Changning Mental Health Center, Shanghai, China
| | - Shih-Jen Tsai
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.,Division of Psychiatry, Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Liang-Kung Chen
- Center of Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan.,Aging and Health Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Taipei Municipal Gan-Dau Hospital, Taipei, Taiwan
| | - Hui-Chun Li
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chun-Yi Zac Lo
- Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, China
| | - Ching-Po Lin
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan.,Aging and Health Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
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13
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Age- and gender-related differences in brain tissue microstructure revealed by multi-component T 2 relaxometry. Neurobiol Aging 2021; 106:68-79. [PMID: 34252873 DOI: 10.1016/j.neurobiolaging.2021.06.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 05/30/2021] [Accepted: 06/01/2021] [Indexed: 12/19/2022]
Abstract
In spite of extensive work, inconsistent findings and lack of specificity in most neuroimaging techniques used to examine age- and gender-related patterns in brain tissue microstructure indicate the need for additional research. Here, we performed the largest Multi-component T2 relaxometry cross-sectional study to date in healthy adults (N = 145, 18-60 years). Five quantitative microstructure parameters derived from various segments of the estimated T2 spectra were evaluated, allowing a more specific interpretation of results in terms of tissue microstructure. We found similar age-related myelin water fraction (MWF) patterns in men and women but we also observed differential male related results including increased MWF content in a few white matter tracts, a faster decline with age of the intra- and extra-cellular water fraction and its T2 relaxation time (i.e. steeper age related negative slopes) and a faster increase in the free and quasi-free water fraction, spanning the whole grey matter. Such results point to a sexual dimorphism in brain tissue microstructure and suggest a lesser vulnerability to age-related changes in women.
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14
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Campbell KSJ, Williams LJ, Bjornson BH, Weik E, Brain U, Grunau RE, Miller SP, Oberlander TF. Prenatal antidepressant exposure and sex differences in neonatal corpus callosum microstructure. Dev Psychobiol 2021; 63:e22125. [PMID: 33942888 DOI: 10.1002/dev.22125] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 03/31/2021] [Accepted: 04/01/2021] [Indexed: 11/09/2022]
Abstract
Prenatal exposure to selective serotonin reuptake inhibitor (SSRI) antidepressants may influence white matter (WM) development, as previous studies report widespread microstructural alterations and reduced interhemispheric connectivity in SSRI-exposed infants. In rodents, perinatal SSRIs had sex-specific disruptions in corpus callosum (CC) axon architecture and connectivity; yet it is unknown whether SSRI-related brain outcomes in humans are sex specific. In this study, the neonate CC was selected as a region-of-interest to investigate whether prenatal SSRI exposure has sex-specific effects on early WM microstructure. On postnatal day 7, diffusion tensor imaging was used to assess WM microstructure in SSRI-exposed (n = 24; 12 male) and nonexposed (n = 48; 28 male) term-born neonates. Fractional anisotropy was extracted from CC voxels and a multivariate discriminant analysis was used to identify latent patterns differing between neonates grouped by SSRI-exposure and sex. Analysis revealed localized variations in CC fractional anisotropy that significantly discriminated neonate groups and correctly predicted group membership with an 82% accuracy. Such effects were identified across three dimensions, representing sex differences in SSRI-exposed neonates (genu, splenium), SSRI-related effects independent of sex (genu-to-rostral body), and sex differences in nonexposed neonates (isthmus-splenium, posterior midbody). Our findings suggest that CC microstructure may have a sex-specific, localized, developmental sensitivity to prenatal SSRI exposure.
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Affiliation(s)
- Kayleigh S J Campbell
- BC Children's Hospital Research Institute, Vancouver, Canada.,Department of Obstetrics & Gynaecology, University of British Columbia, Vancouver, Canada
| | | | - Bruce H Bjornson
- BC Children's Hospital Research Institute, Vancouver, Canada.,Department of Pediatrics, University of British Columbia, Vancouver, Canada
| | - Ella Weik
- BC Children's Hospital Research Institute, Vancouver, Canada
| | - Ursula Brain
- BC Children's Hospital Research Institute, Vancouver, Canada.,Department of Pediatrics, University of British Columbia, Vancouver, Canada
| | - Ruth E Grunau
- BC Children's Hospital Research Institute, Vancouver, Canada.,Department of Pediatrics, University of British Columbia, Vancouver, Canada
| | - Steven P Miller
- Department of Pediatrics, The Hospital for Sick Children and the University of Toronto, Toronto, Canada
| | - Tim F Oberlander
- BC Children's Hospital Research Institute, Vancouver, Canada.,Department of Pediatrics, University of British Columbia, Vancouver, Canada
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15
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van der Horn HJ, Mangina NR, Rakers SE, Kok JG, Timmerman ME, Leemans A, Spikman JM, van der Naalt J. White matter microstructure of the neural emotion regulation circuitry in mild traumatic brain injury. Eur J Neurosci 2021; 53:3463-3475. [PMID: 33759227 PMCID: PMC8251942 DOI: 10.1111/ejn.15199] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Revised: 03/19/2021] [Accepted: 03/19/2021] [Indexed: 12/30/2022]
Abstract
Emotion regulation is related to recovery after mild traumatic brain injury (mTBI). This longitudinal tractography study examined white matter tracts subserving emotion regulation across the spectrum of mTBI, with a focus on persistent symptoms. Four groups were examined: (a) symptomatic (n = 33) and (b) asymptomatic (n = 20) patients with uncomplicated mTBI (i.e., no lesions on computed tomography [CT]), (c) patients with CT-lesions in the frontal areas (n = 14), and (d) healthy controls (HC) (n = 20). Diffusion and conventional MRI were performed approximately 1- and 3-months post-injury. Whole-brain deterministic tractography followed by region of interest analyses was used to identify forceps minor (FM), uncinate fasciculus (UF), and cingulum bundle as tracts of interest. An adjusted version of the ExploreDTI Atlas Based Tractography method was used to obtain reliable tracts for every subject. Mean fractional anisotropy (FA), mean, radial and axial diffusivity (MD, RD, AD), and number of streamlines were studied per tract. Linear mixed models showed lower FA, and higher MD, and RD of the right UF in asymptomatic patients with uncomplicated mTBI relative to symptomatic patients and HC. Diffusion alterations were most pronounced in the group with frontal lesions on CT, particularly in the FM and UF; these effects increased over time. Within the group of patients with uncomplicated mTBI, there were no associations of diffusion measures with the number of symptoms nor with lesions on conventional MRI. In conclusion, mTBI can cause microstructural changes in emotion regulation tracts, however, no explanation was found for the presence of symptoms.
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Affiliation(s)
| | - Namrata R. Mangina
- Department of NeurologyUniversity Medical Center GroningenGroningenthe Netherlands
| | - Sandra E. Rakers
- Department of NeurologyUniversity Medical Center GroningenGroningenthe Netherlands
| | - Jelmer G. Kok
- Department of NeurologyUniversity Medical Center GroningenGroningenthe Netherlands
| | - Marieke E. Timmerman
- Department of Psychometrics and StatisticsUniversity of GroningenGroningenthe Netherlands
| | - Alexander Leemans
- Image Sciences InstituteUniversity Medical Center UtrechtUtrechtthe Netherlands
| | - Jacoba M. Spikman
- Department of NeurologyUniversity Medical Center GroningenGroningenthe Netherlands
| | - Joukje van der Naalt
- Department of NeurologyUniversity Medical Center GroningenGroningenthe Netherlands
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16
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Westerhausen R, Fjell AM, Kompus K, Schapiro SJ, Sherwood CC, Walhovd KB, Hopkins WD. Comparative morphology of the corpus callosum across the adult lifespan in chimpanzees (Pan troglodytes) and humans. J Comp Neurol 2021; 529:1584-1596. [PMID: 32978976 PMCID: PMC7987726 DOI: 10.1002/cne.25039] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2020] [Revised: 09/14/2020] [Accepted: 09/15/2020] [Indexed: 12/14/2022]
Abstract
The human corpus callosum exhibits substantial atrophy in old age, which is stronger than what would be predicted from parallel changes in overall brain anatomy. To date, however, it has not been conclusively established whether this accentuated decline represents a common feature of brain aging across species, or whether it is a specific characteristic of the aging human brain. In the present cross-sectional study, we address this question by comparing age-related difference in corpus callosum morphology of chimpanzees and humans. For this purpose, we measured total midsagittal area and regional thickness of the corpus callosum from T1-weighted MRI data from 213 chimpanzees, aged between 9 and 54 years. The results were compared with data drawn from a large-scale human sample which was age-range matched using two strategies: (a) matching by chronological age (human sample size: n = 562), or (b) matching by accounting for differences in longevity and various maturational events between the species (i.e., adjusted human age range: 13.6 to 80.9 years; n = 664). Using generalized additive modeling to fit and compare aging trajectories, we found significant differences between the two species. The chimpanzee aging trajectory compared with the human trajectory was characterized by a slower increase from adolescence to middle adulthood, and by a lack of substantial decline from middle to old adulthood, which, however, was present in humans. Thus, the accentuated decline of the corpus callosum found in aging humans is not a universal characteristic of the aging brain, and appears to be human-specific.
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Affiliation(s)
- René Westerhausen
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Norway
| | - Anders M. Fjell
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Norway
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Norway
| | - Kristiina Kompus
- Department of Biological and Medical Psychology, University of Bergen, Norway
- Institute of Psychology, University of Tartu, Estonia
| | - Steven J. Schapiro
- Department of Comparative Medicine, Michael E. Keeling Center for Comparative Medicine and Research, UT MD Anderson Cancer Center, Bastrop, Texas, USA
- Department of Experimental Medicine, University of Copenhagen, Denmark
| | - Chet C. Sherwood
- Department of Anthropology and Center for the Advanced Study of Human Paleobiology, The George Washington University, Washington, DC, USA
| | - Kristine B. Walhovd
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Norway
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Norway
| | - William D. Hopkins
- Department of Comparative Medicine, Michael E. Keeling Center for Comparative Medicine and Research, UT MD Anderson Cancer Center, Bastrop, Texas, USA
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17
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Corpus callosum morphology across the lifespan in baboons (Papio anubis): A cross-sectional study of relative mid-sagittal surface area and thickness. Neurosci Res 2021; 171:19-26. [PMID: 33744333 DOI: 10.1016/j.neures.2021.03.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Revised: 02/23/2021] [Accepted: 03/11/2021] [Indexed: 11/22/2022]
Abstract
The corpus callosum enables integration and coordination of cognitive processing between the cerebral hemispheres. In the aging human brain, these functions are affected by progressive axon and myelin deteriorations, reflected as atrophy of the midsagittal corpus callosum in old age. In non-human primates, these degenerative processes are less pronounced as previous morphometric studies on capuchin monkey, rhesus monkeys, and chimpanzees do not find old-age callosal atrophy. In the present study, we extend these previous findings by studying callosal development of the olive baboon (Papio anubis) across the lifespan and compare it to chimpanzee and human data. For this purpose, total relative (to forebrain volume) midsagittal area, subsectional area, and regional thickness of the corpus callosum were assessed in 91 male and female baboons using non-invasive MRI-based morphometry. The studied age range was 2.5-26.6 years and lifespan trajectories were fitted using general additive modelling. Relative area of the total and anterior corpus callosum showed a positive linear trajectory. That is, both measures increased slowly but continuously from childhood into old age, and no decline was observed in old age. Thus, comparable with all other non-human primates studied to-date, baboons do not show callosal atrophy in old age. This observation lends supports to the notion that atrophy of the corpus callosum is a unique characteristic of human brain aging.
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18
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Satary Dizaji A, Vieira BH, Khodaei MR, Ashrafi M, Parham E, Hosseinzadeh GA, Salmon CEG, Soltanianzadeh H. Linking Brain Biology to Intellectual Endowment: A Review on the Associations of Human Intelligence With Neuroimaging Data. Basic Clin Neurosci 2021; 12:1-28. [PMID: 33995924 PMCID: PMC8114859 DOI: 10.32598/bcn.12.1.574.1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 05/10/2020] [Accepted: 10/28/2020] [Indexed: 11/20/2022] Open
Abstract
Human intelligence has always been a fascinating subject for scientists. Since the inception of Spearman's general intelligence in the early 1900s, there has been significant progress towards characterizing different aspects of intelligence and its relationship with structural and functional features of the brain. In recent years, the invention of sophisticated brain imaging devices using Diffusion-Weighted Imaging (DWI) and functional Magnetic Resonance Imaging (fMRI) has allowed researchers to test hypotheses about neural correlates of intelligence in humans.This review summarizes recent findings on the associations of human intelligence with neuroimaging data. To this end, first, we review the literature that has related brain morphometry to intelligence. Next, we elaborate on the applications of DWI and restingstate fMRI on the investigation of intelligence. Then, we provide a survey of literature that has used multimodal DWI-fMRI to shed light on intelligence. Finally, we discuss the state-of-the-art of individualized prediction of intelligence from neuroimaging data and point out future strategies. Future studies hold promising outcomes for machine learning-based predictive frameworks using neuroimaging features to estimate human intelligence.
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Affiliation(s)
- Aslan Satary Dizaji
- Control and Intelligent Processing Center of Excellence (CIPCE), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
| | - Bruno Hebling Vieira
- Inbrain Lab, Department of Physics, FFCLRP, University of São Paulo, Ribeirao Preto, Brazil
| | - Mohmmad Reza Khodaei
- Control and Intelligent Processing Center of Excellence (CIPCE), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
| | - Mahnaz Ashrafi
- Control and Intelligent Processing Center of Excellence (CIPCE), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
| | - Elahe Parham
- Control and Intelligent Processing Center of Excellence (CIPCE), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
| | - Gholam Ali Hosseinzadeh
- Control and Intelligent Processing Center of Excellence (CIPCE), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
- School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
| | | | - Hamid Soltanianzadeh
- Control and Intelligent Processing Center of Excellence (CIPCE), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
- School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
- Radiology Image Analysis Laboratory, Henry Ford Health System, Detroit, USA
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19
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White matter microarchitecture and structural network integrity correlate with children intelligence quotient. Sci Rep 2020; 10:20722. [PMID: 33244043 PMCID: PMC7691327 DOI: 10.1038/s41598-020-76528-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 10/26/2020] [Indexed: 11/17/2022] Open
Abstract
The neural substrate of high intelligence performances remains not well understood. Based on diffusion tensor imaging (DTI) which provides microstructural information of white matter fibers, we proposed in this work to investigate the relationship between structural brain connectivity and intelligence quotient (IQ) scores. Fifty-seven children (8–12 y.o.) underwent a MRI examination, including conventional T1-weighted and DTI sequences, and neuropsychological testing using the fourth edition of Wechsler Intelligence Scale for Children (WISC-IV), providing an estimation of the Full-Scale Intelligence Quotient (FSIQ) based on four subscales: verbal comprehension index (VCI), perceptual reasoning index (PRI), working memory index (WMI), and processing speed index (PSI). Correlations between the IQ scores and both graphs and diffusivity metrics were explored. First, we found significant correlations between the increased integrity of WM fiber-bundles and high intelligence scores. Second, the graph theory analysis showed that integration and segregation graph metrics were positively and negatively correlated with WISC-IV scores, respectively. These results were mainly driven by significant correlations between FSIQ, VCI, and PRI and graph metrics in the temporal and parietal lobes. In conclusion, these findings demonstrated that intelligence performances are related to the integrity of WM fiber-bundles as well as the density and homogeneity of WM brain networks.
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20
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Bartha-Doering L, Kollndorfer K, Schwartz E, Fischmeister FPS, Alexopoulos J, Langs G, Prayer D, Kasprian G, Seidl R. The role of the corpus callosum in language network connectivity in children. Dev Sci 2020; 24:e13031. [PMID: 32790079 PMCID: PMC7988581 DOI: 10.1111/desc.13031] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Revised: 05/15/2020] [Accepted: 08/07/2020] [Indexed: 11/30/2022]
Abstract
The specific role of the corpus callosum (CC) in language network organization remains unclear, two contrasting models have been proposed: inhibition of homotopic areas allowing for independent functioning of the hemispheres versus integration of information from both hemispheres. This study aimed to add to this discussion with the first investigation of language network connectivity in combination with CC volume measures. In 38 healthy children aged 6–12, we performed task‐based functional magnetic resonance imaging to measure language network connectivity, used structural magnetic resonance imaging to quantify CC subsection volumes, and administered various language tests to examine language abilities. We found an increase in left intrahemispheric and bilateral language network connectivity and a decrease in right intrahemispheric connectivity associated with larger volumes of the posterior, mid‐posterior, and central subsections of the CC. Consistent with that, larger volumes of the posterior parts of the CC were significantly associated with better verbal fluency and vocabulary, the anterior CC volume was positively correlated with verbal span. Thus, children with larger volumes of CC subsections showed increased interhemispheric language network connectivity and were better in different language domains. This study presents the first evidence that the CC is directly linked to language network connectivity and underlines the excitatory role of the CC in the integration of information from both hemispheres.
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Affiliation(s)
- Lisa Bartha-Doering
- Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria.,Comprehensive Center for Pediatrics, Medical University of Vienna, Vienna, Austria
| | - Kathrin Kollndorfer
- Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria.,Comprehensive Center for Pediatrics, Medical University of Vienna, Vienna, Austria.,Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Ernst Schwartz
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | | | - Johanna Alexopoulos
- Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria.,Comprehensive Center for Pediatrics, Medical University of Vienna, Vienna, Austria.,Department of Psychoanalysis and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Georg Langs
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Daniela Prayer
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Gregor Kasprian
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Rainer Seidl
- Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria.,Comprehensive Center for Pediatrics, Medical University of Vienna, Vienna, Austria
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21
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Danielsen VM, Vidal-Piñeiro D, Mowinckel AM, Sederevicius D, Fjell AM, Walhovd KB, Westerhausen R. Lifespan trajectories of relative corpus callosum thickness: Regional differences and cognitive relevance. Cortex 2020; 130:127-141. [PMID: 32652340 DOI: 10.1016/j.cortex.2020.05.020] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2019] [Revised: 05/11/2020] [Accepted: 05/25/2020] [Indexed: 02/03/2023]
Abstract
The cerebral hemispheres are specialized for different cognitive functions and receive divergent information from the sensory organs, so that the interaction between the hemispheres is a crucial aspect of perception and cognition. At the same time, the major fiber tract responsible for this interaction, the corpus callosum, shows a structural development across the lifespan which is over-proportional. That is, compared to changes in overall forebrain volume, the corpus callosum shows an accentuated growth during childhood, adolescence, and early adulthood, as well as pronounced decline in older age. However, this over-proportionality of growth and decline along with potential consequences for cognition, have been largely overlooked in empirical research. In the present study we systematically address the proportionality of callosal development in a large mixed cross-sectional and longitudinal sample (1867 datasets from 1014 unique participants), covering the human lifespan (age range 4-93 years), and examine the cognitive consequences of the observed changes. Relative corpus callosum thickness was measured at 60 segments along the midsagittal surface, and lifespan trajectories were clustered to identify callosal subsections of comparable lifespan development. While confirming the expected inverted u-shaped lifespan trajectories, we also found substantial regional variation. Compared with anterior clusters, the most posterior sections exhibited an accentuated growth during development which extends well into the third decade of life, and a protracted decline in older age which is delayed by about 10 years (starting mid to late 50s). We further showed that the observed longitudinal changes in relative thickness of the mid splenium significantly mediates age-related changes in tests assessing verbal knowledge and non-verbal visual-spatial abilities across the lifespan. In summary, we demonstrate that analyzing the proportionality of callosal growth and decline offers valuable insight into lifespan development of structural connectivity between the hemispheres, and suggests consequences for the cognitive development of perception and cognition.
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Affiliation(s)
- V M Danielsen
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Norway
| | - D Vidal-Piñeiro
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Norway
| | - A M Mowinckel
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Norway
| | - D Sederevicius
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Norway
| | - A M Fjell
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Norway; Department of Radiology and Nuclear Medicine, Oslo University Hospital, Norway
| | - K B Walhovd
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Norway; Department of Radiology and Nuclear Medicine, Oslo University Hospital, Norway
| | - R Westerhausen
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Norway.
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22
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Angelopoulou G, Meier EL, Kasselimis D, Pan Y, Tsolakopoulos D, Velonakis G, Karavasilis E, Kelekis NL, Goutsos D, Potagas C, Kiran S. Investigating Gray and White Matter Structural Substrates of Sex Differences in the Narrative Abilities of Healthy Adults. Front Neurosci 2020; 13:1424. [PMID: 32063823 PMCID: PMC7000661 DOI: 10.3389/fnins.2019.01424] [Citation(s) in RCA: 10] [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: 06/21/2019] [Accepted: 12/16/2019] [Indexed: 12/12/2022] Open
Abstract
Linguistic aspects of narration have been investigated in healthy populations, in a wide variety of languages and speech genres with very different results. There is some evidence indicating that linguistic elements, such as speech rate (i.e., the measure indicating the amount of speech produced in a certain time period), mean length of utterance (MLU) (i.e., the index reflecting sentence grammatical structure), frequency of nouns and verbs, might be affected by non-linguistic factors such as sex. On the other hand, despite the existence of neuroimaging evidence of structural differences between males and females, it is yet unknown how such differences could explain between-sex disparities in linguistic abilities in natural speech contexts. To date, no study has evaluated discourse production elements in relation to sex differences and their neural correlates in terms of brain structure, a topic that could provide unique insights on the relationship between language and the brain. The aim of the present study was to determine sex differences in narrative skills in healthy adults and to investigate white and gray matter structural correlates of linguistic skills in each group. Twenty-seven male and 30 female (N = 57) right-handed, neurologically intact, monolingual Greek speakers, matched for age and years of education, participated. Narrations of a personal medical event were elicited. Linguistic elements of speech rate (words per minute), MLUs, frequency of nouns and verbs were calculated for each speech sample, by two independent raters. Structural 3D T1 images were segmented and parcellated using FreeSurfer and whole-brain between-sex differences in cortical thickness, cortical volume and surface area, were obtained. Between-group differences in white matter diffusion tensor scalars were examined via Tract-Based Spatial-Statistics and whole-brain tractography and automated tract delineation using Automated Fiber Quantification. Speech rate and noun frequency were significantly lower for men, while verb frequency was significantly higher for women, but no differences were identified for MLU. Regarding cortical measures, males demonstrated increased volume, surface area and cortical thickness in several bilateral regions, while no voxel-wise or tractography-based between-group differences in white matter metrics were observed. Regarding the relationship between sex and speech variables, hierarchical regression analyses showed that the superior/middle frontal cluster in surface area may serve as a significant predictor of speech rate variance, but only in females. We discuss several possible interpretations of how sex-related speech abilities could be represented differently in men and women in gray matter structures within the broad language network.
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Affiliation(s)
- Georgia Angelopoulou
- Neuropsychology and Language Disorders Unit, 1st Department of Neurology, Eginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
- Sargent College of Health & Rehabilitation Sciences, Boston University, Boston, MA, United States
| | - Erin L. Meier
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Dimitrios Kasselimis
- Neuropsychology and Language Disorders Unit, 1st Department of Neurology, Eginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
- Division of Psychiatry and Behavioral Sciences, School of Medicine, University of Crete, Heraklion, Greece
| | - Yue Pan
- Sargent College of Health & Rehabilitation Sciences, Boston University, Boston, MA, United States
| | - Dimitrios Tsolakopoulos
- Neuropsychology and Language Disorders Unit, 1st Department of Neurology, Eginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - George Velonakis
- 2nd Department of Radiology, General University Hospital “Attikon”, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Efstratios Karavasilis
- 2nd Department of Radiology, General University Hospital “Attikon”, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos L. Kelekis
- 2nd Department of Radiology, General University Hospital “Attikon”, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Dionysios Goutsos
- Department of Linguistics, School of Philosophy, National and Kapodistrian University of Athens, Athens, Greece
| | - Constantin Potagas
- Neuropsychology and Language Disorders Unit, 1st Department of Neurology, Eginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Swathi Kiran
- Sargent College of Health & Rehabilitation Sciences, Boston University, Boston, MA, United States
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23
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González-Madruga K, Rogers J, Toschi N, Riccelli R, Smaragdi A, Puzzo I, Clanton R, Andersson J, Baumann S, Kohls G, Raschle N, Fehlbaum L, Menks W, Stadler C, Konrad K, Freitag CM, De Brito SA, Sonuga-Barke E, Fairchild G. White matter microstructure of the extended limbic system in male and female youth with conduct disorder. Psychol Med 2020; 50:58-67. [PMID: 30696514 DOI: 10.1017/s0033291718003951] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Previous studies of conduct disorder (CD) have reported structural and functional alterations in the limbic system. However, the white matter tracts that connect limbic regions have not been comprehensively studied. The uncinate fasciculus (UF), a tract connecting limbic to prefrontal regions, has been implicated in CD. However, CD-related alterations in other limbic tracts, such as the cingulum and the fornix, have not been investigated. Furthermore, few studies have examined the influence of sex and none have been adequately powered to test whether the relationship between CD and structural connectivity differs by sex. We examined whether adolescent males and females with CD exhibit differences in structural connectivity compared with typically developing controls. METHODS We acquired diffusion-weighted magnetic resonance imaging data from 101 adolescents with CD (52 females) and 99 controls (50 females). Data were processed for deterministic spherical deconvolution tractography. Virtual dissections of the UF, the three subdivisions of the cingulum [retrosplenial cingulum (RSC), parahippocampal and subgenual cingulum], and the fornix were performed and measures of fractional anisotropy (FA) and hindrance-modulated orientational anisotropy (HMOA) were analysed. RESULTS The CD group had lower FA and HMOA in the right RSC tract relative to controls. Importantly, these effects were moderated by sex - males with CD significantly lower FA compared to male controls, whereas CD and control females did not differ. CONCLUSIONS Our results highlight the importance of considering sex when studying the neurobiological basis of CD. Sex differences in RSC connectivity may contribute to sex differences in the clinical presentation of CD.
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Affiliation(s)
| | - Jack Rogers
- School of Psychology and Birmingham University Imaging Centre, University of Birmingham, Birmingham, UK
| | - Nicola Toschi
- Department of Biomedicine and Prevention, University of Rome 'Tor Vergata', Rome, Italy
| | - Roberta Riccelli
- Department of Psychology, University of Southampton, Southampton, UK
| | | | - Ignazio Puzzo
- West London Mental Health Trust, Broadmoor High Secure Hospital, London, UK
| | - Roberta Clanton
- School of Psychology and Birmingham University Imaging Centre, University of Birmingham, Birmingham, UK
| | - Jesper Andersson
- FMRIB, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Sarah Baumann
- Department of Child and Adolescent Psychiatry, Child Neuropsychology Section, Psychosomatics and Psychotherapy, University Hospital RWTH Aachen, Aachen, Germany
| | - Gregor Kohls
- Department of Child and Adolescent Psychiatry, Child Neuropsychology Section, Psychosomatics and Psychotherapy, University Hospital RWTH Aachen, Aachen, Germany
| | - Nora Raschle
- Department of Child and Adolescent Psychiatry, Psychiatric University Clinics and University of Basel, Basel, Switzerland
| | - Lynn Fehlbaum
- Department of Child and Adolescent Psychiatry, Psychiatric University Clinics and University of Basel, Basel, Switzerland
| | - Willeke Menks
- Department of Child and Adolescent Psychiatry, Psychiatric University Clinics and University of Basel, Basel, Switzerland
| | - Christina Stadler
- Department of Child and Adolescent Psychiatry, Psychiatric University Clinics and University of Basel, Basel, Switzerland
| | - Kerstin Konrad
- Department of Child and Adolescent Psychiatry, Child Neuropsychology Section, Psychosomatics and Psychotherapy, University Hospital RWTH Aachen, Aachen, Germany
| | - Christine M Freitag
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - Stephane A De Brito
- School of Psychology and Birmingham University Imaging Centre, University of Birmingham, Birmingham, UK
| | - Edmund Sonuga-Barke
- Child and Adolescent Psychiatry Department, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, UK
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24
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Shaw GA, Dupree JL, Neigh GN. Adolescent maturation of the prefrontal cortex: Role of stress and sex in shaping adult risk for compromise. GENES BRAIN AND BEHAVIOR 2019; 19:e12626. [DOI: 10.1111/gbb.12626] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Revised: 11/15/2019] [Accepted: 11/15/2019] [Indexed: 12/12/2022]
Affiliation(s)
- Gladys A. Shaw
- Department of Anatomy and NeurobiologyVirginia Commonwealth University Richmond Virginia
| | - Jeffrey L. Dupree
- Department of Anatomy and NeurobiologyVirginia Commonwealth University Richmond Virginia
- Research ServiceHunter Holmes McGuire VA Medical Center Richmond Virginia
| | - Gretchen N. Neigh
- Department of Anatomy and NeurobiologyVirginia Commonwealth University Richmond Virginia
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25
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Jaušovec N. The neural code of intelligence: From correlation to causation. Phys Life Rev 2019; 31:171-187. [PMID: 31706924 DOI: 10.1016/j.plrev.2019.10.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Accepted: 10/18/2019] [Indexed: 01/03/2023]
Abstract
Research into the neural underpinning of intelligence has mainly adopted a construct perspective: trying to find structural and functional brain characteristics that would accommodate the psychological concept of g. Few attempts have been made to explain intelligence exclusively based on brain characteristics - the brain perspective. From a methodological viewpoint the brain intelligence relation has been studied by means of correlational and interventional studies. The later providing a causal elucidation of the brain - intelligence relation. The best neuro-anatomical predictor of intelligence is brain volume showing a modest positive correlation with g, explaining between 9 to 16% of variance. The most likely explanation was that larger brains, containing more neurons, have a greater computational power and in that way allow more complex cognitive processing. Correlations with brain surface, thickness, convolution and callosal shape showed less consistent patterns. The development of diffusion tensor imaging has allowed researchers to look also into the microstructure of brain tissue. Consistently observed was a positively correlation between white matter integrity and intelligence, supporting the idea that efficient information transfer between hemispheres and brain areas is crucial for higher intellectual competence. Based on functional studies of the brain intelligence relationship three theories have been put forward: the neural efficiency, the P-FIT and the multi demand (MD) system theory. On the other hand, The Network Neuroscience Theory of g, based on methods from mathematics, physics, and computer science, is an example for the brain perspective on neurobiological underpinning of intelligence. In this framework network flexibility and dynamics provide the foundation for general intelligence. With respect to intervention studies the most promising results have been achieved with noninvasive brain stimulation and behavioral training providing tentative support for findings put forward by the correlational approach. To date the best consensus based on the diversity of results reported would be that g is predominantly determined by lateral prefrontal attentional control of structured sensory episodes in posterior brain areas. The capacity of flexible transitions between these network states represents the essence of intelligence - g.
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26
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Ritchie SJ, Cox SR, Shen X, Lombardo MV, Reus LM, Alloza C, Harris MA, Alderson HL, Hunter S, Neilson E, Liewald DCM, Auyeung B, Whalley HC, Lawrie SM, Gale CR, Bastin ME, McIntosh AM, Deary IJ. Sex Differences in the Adult Human Brain: Evidence from 5216 UK Biobank Participants. Cereb Cortex 2019; 28:2959-2975. [PMID: 29771288 PMCID: PMC6041980 DOI: 10.1093/cercor/bhy109] [Citation(s) in RCA: 431] [Impact Index Per Article: 86.2] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Accepted: 04/20/2018] [Indexed: 02/07/2023] Open
Abstract
Sex differences in the human brain are of interest for many reasons: for example, there are sex differences in the observed prevalence of psychiatric disorders and in some psychological traits that brain differences might help to explain. We report the largest single-sample study of structural and functional sex differences in the human brain (2750 female, 2466 male participants; mean age 61.7 years, range 44-77 years). Males had higher raw volumes, raw surface areas, and white matter fractional anisotropy; females had higher raw cortical thickness and higher white matter tract complexity. There was considerable distributional overlap between the sexes. Subregional differences were not fully attributable to differences in total volume, total surface area, mean cortical thickness, or height. There was generally greater male variance across the raw structural measures. Functional connectome organization showed stronger connectivity for males in unimodal sensorimotor cortices, and stronger connectivity for females in the default mode network. This large-scale study provides a foundation for attempts to understand the causes and consequences of sex differences in adult brain structure and function.
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Affiliation(s)
- Stuart J Ritchie
- Department of Psychology, The University of Edinburgh, Edinburgh, UK.,Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK
| | - Simon R Cox
- Department of Psychology, The University of Edinburgh, Edinburgh, UK.,Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK
| | - Xueyi Shen
- Division of Psychiatry, The University of Edinburgh, Edinburgh, UK
| | - Michael V Lombardo
- Department of Psychology and Center for Applied Neuroscience, University of Cyprus, Nicosia, Cyprus.,Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Lianne M Reus
- Department of Neurology and Alzheimer Centre, VU University Medical Centre, Amsterdam, The Netherlands
| | - Clara Alloza
- Division of Psychiatry, The University of Edinburgh, Edinburgh, UK
| | - Mathew A Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK.,Division of Psychiatry, The University of Edinburgh, Edinburgh, UK
| | - Helen L Alderson
- Department of Psychiatry, Queen Margaret Hospital, Dunfermline, UK
| | | | - Emma Neilson
- Division of Psychiatry, The University of Edinburgh, Edinburgh, UK
| | - David C M Liewald
- Department of Psychology, The University of Edinburgh, Edinburgh, UK.,Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK
| | - Bonnie Auyeung
- Department of Psychology, The University of Edinburgh, Edinburgh, UK
| | | | - Stephen M Lawrie
- Division of Psychiatry, The University of Edinburgh, Edinburgh, UK
| | - Catharine R Gale
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK.,MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Mark E Bastin
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK.,Brain Research Imaging Centre, The University of Edinburgh, Edinburgh, UK.,Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK
| | - Andrew M McIntosh
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK.,Division of Psychiatry, The University of Edinburgh, Edinburgh, UK
| | - Ian J Deary
- Department of Psychology, The University of Edinburgh, Edinburgh, UK.,Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK
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27
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Smith K, Bastin ME, Cox SR, Valdés Hernández MC, Wiseman S, Escudero J, Sudlow C. Hierarchical complexity of the adult human structural connectome. Neuroimage 2019; 191:205-215. [PMID: 30772400 PMCID: PMC6503942 DOI: 10.1016/j.neuroimage.2019.02.028] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Revised: 02/06/2019] [Accepted: 02/11/2019] [Indexed: 11/29/2022] Open
Abstract
The structural network of the human brain has a rich topology which many have sought to characterise using standard network science measures and concepts. However, this characterisation remains incomplete and the non-obvious features of this topology have largely confounded attempts towards comprehensive constructive modelling. This calls for new perspectives. Hierarchical complexity is an emerging paradigm of complex network topology based on the observation that complex systems are composed of hierarchies within which the roles of hierarchically equivalent nodes display highly variable connectivity patterns. Here we test the hierarchical complexity of the human structural connectomes of a group of seventy-nine healthy adults. Binary connectomes are found to be more hierarchically complex than three benchmark random network models. This provides a new key description of brain structure, revealing a rich diversity of connectivity patterns within hierarchically equivalent nodes. Dividing the connectomes into four tiers based on degree magnitudes indicates that the most complex nodes are neither those with the highest nor lowest degrees but are instead found in the middle tiers. Spatial mapping of the brain regions in each hierarchical tier reveals consistency with the current anatomical, functional and neuropsychological knowledge of the human brain. The most complex tier (Tier 3) involves regions believed to bridge high-order cognitive (Tier 1) and low-order sensorimotor processing (Tier 2). We then show that such diversity of connectivity patterns aligns with the diversity of functional roles played out across the brain, demonstrating that hierarchical complexity can characterise functional diversity strictly from the network topology.
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Affiliation(s)
- Keith Smith
- Usher Institute for Population Health Science and Informatics, Medical School, University of Edinburgh, Edinburgh, EH16 4UX, UK.
| | - Mark E Bastin
- Centre for Clinical Brain Sciences, Western General Hospital, University of Edinburgh, Edinburgh, EH4 2XU, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Simon R Cox
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Maria C Valdés Hernández
- Centre for Clinical Brain Sciences, Western General Hospital, University of Edinburgh, Edinburgh, EH4 2XU, UK; Row Fogo Centre into Ageing and the Brain, Edinburgh Dementia Research Institute, University of Edinburgh, Edinburgh, EH16 4SB, UK
| | - Stewart Wiseman
- Centre for Clinical Brain Sciences, Western General Hospital, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Javier Escudero
- School of Engineering, Institute for Digital Communications, University of Edinburgh, Edinburgh, EH9 3FB, UK
| | - Catherine Sudlow
- Usher Institute for Population Health Science and Informatics, Medical School, University of Edinburgh, Edinburgh, EH16 4UX, UK
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28
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Delaparte L, Bartlett E, Grazioplene R, Perlman G, Gardus J, DeLorenzo C, Klein DN, Kotov R. Structural correlates of the orbitofrontal cortex and amygdala and personality in female adolescents. Psychophysiology 2019; 56:e13376. [PMID: 30942481 DOI: 10.1111/psyp.13376] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 03/02/2019] [Accepted: 03/10/2019] [Indexed: 11/28/2022]
Abstract
The five-factor model consists of cognitive-affective-behavioral trait dimensions (neuroticism, extraversion, openness to experience, agreeableness, conscientiousness) that are central to models of psychopathology. In adults, individual differences in three of the Big Five traits, neuroticism, extraversion, and conscientiousness, have been linked to structural morphology and connectivity of the orbitofrontal cortex (OFC) and the amygdala, two brain regions critically involved in affective and regulatory processing. It is unclear whether these associations manifest in adolescence, a critical neurodevelopmental period during which many forms of psychiatric illness emerge. A total of 223 adolescent girls (ages 14-16 years) completed a multimodal neuroimaging study that utilized T1-weighted structural MRI (e.g., cortical thickness and volume) and tractography-based diffusion tensor imaging (64-direction). Cortical thickness and volume were extracted from the medial orbitofrontal cortex (mOFC) and amygdala and tractography-based fractional anisotropy was computed in the uncinate fasciculus (UF; the white matter tract connecting the OFC to the temporal lobe). We found that high neuroticism was associated with less mOFC volume (bilateral), and low conscientiousness was associated with higher white matter integrity in the UF, more amygdala volume, and less mOFC thickness (right hemisphere). Extraversion was not observed to share associations with OFC markers. These OFC-amygdala structural correlations to personality do not match those reported in adult samples. Multimodal neuroimaging techniques can help to clarify the underpinnings of personality development between adolescence and adulthood.
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Affiliation(s)
- Lauren Delaparte
- Department of Psychology, Stony Brook University, Stony Brook, New York
| | | | | | - Greg Perlman
- Department of Psychiatry, Stony Brook University, Stony Brook, New York
| | - John Gardus
- Department of Psychiatry, Stony Brook University, Stony Brook, New York
| | | | - Daniel N Klein
- Department of Psychology, Stony Brook University, Stony Brook, New York
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, New York
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29
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Kocevar G, Suprano I, Stamile C, Hannoun S, Fourneret P, Revol O, Nusbaum F, Sappey-Marinier D. Brain structural connectivity correlates with fluid intelligence in children: A DTI graph analysis. INTELLIGENCE 2019. [DOI: 10.1016/j.intell.2018.12.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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30
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Altered White Matter Microstructure Correlates with IQ and Processing Speed in Children and Adolescents Post-Fontan. J Pediatr 2018; 200:140-149.e4. [PMID: 29934026 DOI: 10.1016/j.jpeds.2018.04.022] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Revised: 03/20/2018] [Accepted: 04/11/2018] [Indexed: 11/23/2022]
Abstract
OBJECTIVE To compare white matter microstructure in children and adolescents with single ventricle who underwent the Fontan procedure with healthy controls, and to explore the association of white matter injury with cognitive performance as well as patient and medical factors. STUDY DESIGN Fontan (n = 102) and control subjects (n = 47) underwent diffusion tensor imaging (DTI) at ages 10-19 years. Mean DTI measures (fractional anisotropy, radial diffusivity, axial diffusivity, and mean diffusivity) were calculated for 33 fiber tracts from standard white matter atlases. Voxel-wise group differences in DTI measures were assessed using Tract-Based Spatial Statistics. Associations of regional fractional anisotropy with IQ and processing speed as well as medical characteristics were examined. RESULTS Subjects with Fontan, compared with controls, had reduced bilateral regional and voxel-wise fractional anisotropy in multiple white matter tracts along with increased regional radial diffusivity in several overlapping tracts; regional mean diffusivity differed in 2 tracts. The groups did not differ in voxel-wise radial diffusivity or mean diffusivity. Among subjects with Fontan, fractional anisotropy in many tracts correlated positively with Full-Scale Intelligence Quotient and processing speed, although similar findings were absent in controls. Lower mean fractional anisotropy in various tracts was associated with more complications in the first operation, a greater number of total operations, and history of neurologic event. CONCLUSIONS Children and adolescents who have undergone the Fontan procedure have widespread abnormalities in white matter microstructure. Furthermore, white matter microstructure in several tracts is associated with cognitive performance and operative and medical history characteristics.
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31
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Girls' pubertal development is associated with white matter microstructure in late adolescence. Neuroimage 2018; 181:659-669. [PMID: 30056197 DOI: 10.1016/j.neuroimage.2018.07.050] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2018] [Revised: 07/18/2018] [Accepted: 07/20/2018] [Indexed: 01/04/2023] Open
Abstract
Patterns of pubertal maturation have been linked to vulnerability for emotion dysregulation disorders in girls, as well as white matter (WM) development, suggestive of a potential mechanism between pubertal maturation and emotional health. Because pubertal processes begin at varying ages (i.e., status, timing) and proceed at varying rates (i.e., tempo), identifying individual differences in the pubertal course associated with subsequent WM microstructure development may reveal clues about neurobiological mechanisms of girls' emotional well-being. In a prospective cohort study of 107 girls, we examined associations between pubertal status at age 9, pubertal timing and tempo from ages 9-15, and WM microstructure at age 19. Tract-based spatial statistics revealed that girls with more advanced pubertal status at age 9, specific to gonadal-related physical changes, had higher fractional anisotropy, and lower mean diffusivity (MD) and radial diffusivity in tracts relevant to cognitive control and emotion regulation (e.g., the superior longitudinal fasciculus, external capsule, and uncinate fasciculus). Additionally, girls with earlier pubertal timing showed lower MD in the left anterior cingulum bundle. Tempo was unrelated to WM measures. These findings implicate specific aspects of pubertal maturation in subsequent neural signatures, suggesting possible neuroendocrine mechanisms relevant to emotional development. Future work incorporating longitudinal neuroimaging in parallel with pubertal measures may contribute to the understanding of individual variation in pubertal course and WM development.
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32
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Chen Z, Zhao X, Fan J, Chen A. Functional cerebral asymmetry analyses reveal how the control system implements its flexibility. Hum Brain Mapp 2018; 39:4678-4688. [PMID: 30015380 DOI: 10.1002/hbm.24313] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Revised: 06/29/2018] [Accepted: 07/02/2018] [Indexed: 12/23/2022] Open
Abstract
The control system in human brain generally exerts the goal-directed regulation on a variety of mental processes. To deal with different control demands, these brain areas of the control system, especially the dorsolateral prefrontal cortex (DLPFC), may be flexibly recruited across different tasks. However, few studies have investigated how the flexibility of the control system is realized during cognitive control. Present study employed functional magnetic resonance imaging to examine the brain responses during two domain distinct conflict tasks (verbal color-word Stroop and visuospatial arrow flanker). The voxel-wise asymmetries in both functional activity and psychophysiological interaction (PPI) between these two tasks were compared. The results showed that the brain areas of control system were consistently activated in these two tasks. When considering functional cerebral asymmetries, the left DLPFC was dominantly activated during the Stroop task, while more symmetric DLPFC activation was found during the flanker task. The left DLPFC rather than the right DLPFC showed greater positive interaction with the visual areas V1 and V2 during the Stroop interference, but interactions of both the left and right DLPFC with the right visual area V5/MT were positively enhanced during the flanker interference. These results suggest that the flexible cognitive control is achieved by the control system's task-specific activity and its top-down interaction with domain-specific brain areas, in implementing flexible representation and modulation of control demands.
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Affiliation(s)
- Zhencai Chen
- Department of Psychology, Jiangxi University of Traditional Chinese Medicine, Nanchang, China
| | - Xiaoyue Zhao
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Jin Fan
- Department of Psychology, Queens College, The City University of New York, Icahn School of Medicine at Mount Sinai, New York City, New York.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, New York.,Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York City, New York
| | - Antao Chen
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
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33
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Fox LA, Hershey T, Mauras N, Arbeláez AM, Tamborlane WV, Buckingham B, Tsalikian E, Englert K, Raman M, Jo B, Shen H, Reiss A, Mazaika P. Persistence of abnormalities in white matter in children with type 1 diabetes. Diabetologia 2018; 61:1538-1547. [PMID: 29654376 PMCID: PMC5991628 DOI: 10.1007/s00125-018-4610-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2017] [Accepted: 03/12/2018] [Indexed: 01/18/2023]
Abstract
AIMS/HYPOTHESIS Prior studies suggest white matter growth is reduced and white matter microstructure is altered in the brains of young children with type 1 diabetes when compared with brains of non-diabetic children, due in part to adverse effects of hyperglycaemia. This longitudinal observational study examines whether dysglycaemia alters the developmental trajectory of white matter microstructure over time in young children with type 1 diabetes. METHODS One hundred and eighteen children, aged 4 to <10 years old with type 1 diabetes and 58 age-matched, non-diabetic children were studied at baseline and 18 months, at five Diabetes Research in Children Network clinical centres. We analysed longitudinal trajectories of white matter using diffusion tensor imaging. Continuous glucose monitoring profiles and HbA1c levels were obtained every 3 months. RESULTS Axial diffusivity was lower in children with diabetes at baseline (p = 0.022) and at 18 months (p = 0.015), indicating that differences in white matter microstructure persist over time in children with diabetes. Within the diabetes group, lower exposure to hyperglycaemia, averaged over the time since diagnosis, was associated with higher fractional anisotropy (p = 0.037). Fractional anisotropy was positively correlated with performance (p < 0.002) and full-scale IQ (p < 0.02). CONCLUSIONS/INTERPRETATION These results suggest that hyperglycaemia is associated with altered white matter development, which may contribute to the mild cognitive deficits in this population.
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Affiliation(s)
- Larry A Fox
- Pediatric Endocrinology, Nemours Children's Health System, 807 Children's Way, Jacksonville, FL, 32207, USA.
| | - Tamara Hershey
- Department of Psychiatry and Radiology, Washington University in St Louis and the St Louis Children's Hospital, St Louis, MO, USA
| | - Nelly Mauras
- Pediatric Endocrinology, Nemours Children's Health System, 807 Children's Way, Jacksonville, FL, 32207, USA
| | - Ana Maria Arbeláez
- Department of Psychiatry and Radiology, Washington University in St Louis and the St Louis Children's Hospital, St Louis, MO, USA
| | | | - Bruce Buckingham
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Eva Tsalikian
- Department of Pediatric Endocrinology, The University of Iowa, Iowa City, IA, USA
| | - Kim Englert
- Pediatric Endocrinology, Nemours Children's Health System, 807 Children's Way, Jacksonville, FL, 32207, USA
| | - Mira Raman
- Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Booil Jo
- Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Hanyang Shen
- Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Allan Reiss
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Paul Mazaika
- Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
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Chang CL, Chiu NC, Yang YC, Ho CS, Hung KL. Normal Development of the Corpus Callosum and Evolution of Corpus Callosum Sexual Dimorphism in Infancy. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2018; 37:869-877. [PMID: 28990212 DOI: 10.1002/jum.14420] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Revised: 06/16/2017] [Accepted: 07/05/2017] [Indexed: 06/07/2023]
Abstract
OBJECTIVES The aim of this study was to establish reference ranges for the corpus callosum in infancy and to clarify how sexual dimorphism evolves between the fetal stage and infancy. METHODS Normal sonograms from cerebral ultrasonographic examinations of 1- to 6-month-old healthy full-term infants were selected. The length and thickness of the corpus callosum were determined, and the effect of sex on these values was analyzed. Studies on corpus callosum sexual dimorphism were reviewed. RESULTS In total, sonograms from 236 1- to 6-month-old infants (120 male and 116 female) were collected, and the typical values (5th-95th percentiles) of the corpus callosum were determined for each group. During the first 2 months, with and without brain size adjustment, the corpus callosum in female infants was significantly thicker than that in male infants (mean thickness ± SD: 1 month, male infant, 1.8 ± 0.3 mm; female infant, 2.1 ± 0.3 mm; P = .005; 2 months, male infant, 1.8 ± 0.2 mm; female infant, 2.0 ± 0.3 mm; P = .002). The corpus callosum thickness of male and female infants had no significant differences after 2 months of age. Sexual dimorphism was not detected in corpus callosum length. CONCLUSIONS Our study provides reference data on typical corpus callosum development in infants. In the fetal period and early infancy, the corpus callosum in female infants is thicker than that in male infants. From 3 months onward, the corpus callosum sexual dimorphism becomes insignificant throughout childhood. The evolvement of corpus callosum sexual dimorphism suggests that maternal factors may influence brain development.
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Affiliation(s)
- Chaw-Liang Chang
- Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan
- Department of Pediatrics, Cathay General Hospital, Hsinchu, Taiwan
- Department of Center for Medical Education and Research, Cathay General Hospital, Hsinchu, Taiwan
| | - Nan-Chang Chiu
- Department of Pediatrics, MacKay Children's Hospital, Taipei, Taiwan
- Department of Pediatrics, Mackay Junior College of Medicine, Nursing, and Management, New Taipei City, Taiwan Department of Pediatrics (K.-L.H.), Cathay General Hospital, Taipei, Taiwan
| | - Yi-Chen Yang
- Department of Center for Medical Education and Research, Cathay General Hospital, Hsinchu, Taiwan
| | - Che-Sheng Ho
- Department of Pediatrics, MacKay Children's Hospital, Taipei, Taiwan
- Department of Pediatrics, Mackay Junior College of Medicine, Nursing, and Management, New Taipei City, Taiwan Department of Pediatrics (K.-L.H.), Cathay General Hospital, Taipei, Taiwan
| | - Kun-Long Hung
- Department of Pediatrics, Cathay General Hospital, Hsinchu, Taiwan
- Department of Pediatrics School of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
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Ryman SG, Yeo RA, Witkiewitz K, Vakhtin AA, van den Heuvel M, de Reus M, Flores RA, Wertz CR, Jung RE. Fronto-Parietal gray matter and white matter efficiency differentially predict intelligence in males and females. Hum Brain Mapp 2018; 37:4006-4016. [PMID: 27329671 DOI: 10.1002/hbm.23291] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2015] [Revised: 05/03/2016] [Accepted: 06/08/2016] [Indexed: 11/10/2022] Open
Abstract
While there are minimal sex differences in overall intelligence, males, on average, have larger total brain volume and corresponding regional brain volumes compared to females, measures that are consistently related to intelligence. Limited research has examined which other brain characteristics may differentially contribute to intelligence in females to facilitate equal performance on intelligence measures. Recent reports of sex differences in the neural characteristics of the brain further highlight the need to differentiate how the structural neural characteristics relate to intellectual ability in males and females. The current study utilized a graph network approach in conjunction with structural equation modeling to examine potential sex differences in the relationship between white matter efficiency, fronto-parietal gray matter volume, and general cognitive ability (GCA). Participants were healthy adults (n = 244) who completed a battery of cognitive testing and underwent structural neuroimaging. Results indicated that in males, a latent factor of fronto-parietal gray matter was significantly related to GCA when controlling for total gray matter volume. In females, white matter efficiency and total gray matter volume were significantly related to GCA, with no specificity of the fronto-parietal gray matter factor over and above total gray matter volume. This work highlights that different neural characteristics across males and females may contribute to performance on intelligence measures. Hum Brain Mapp 37:4006-4016, 2016. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Sephira G Ryman
- Department of Psychology, University of New Mexico, Albuquerque, New Mexico.
| | - Ronald A Yeo
- Department of Psychology, University of New Mexico, Albuquerque, New Mexico
| | - Katie Witkiewitz
- Department of Psychology, University of New Mexico, Albuquerque, New Mexico
| | - Andrei A Vakhtin
- Department of Psychology, University of New Mexico, Albuquerque, New Mexico
| | - Martijn van den Heuvel
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marcel de Reus
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Ranee A Flores
- Department of Psychology, University of New Mexico, Albuquerque, New Mexico
| | | | - Rex E Jung
- Department of Psychology, University of New Mexico, Albuquerque, New Mexico
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Callosotomy affects performance IQ: A meta-analysis of individual participant data. Neurosci Lett 2017; 665:43-47. [PMID: 29174639 DOI: 10.1016/j.neulet.2017.11.040] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2017] [Revised: 10/24/2017] [Accepted: 11/20/2017] [Indexed: 11/22/2022]
Abstract
Morphometric neuroimaging studies on healthy adult individuals regularly report a positive association between intelligence test performance (IQ) and structural properties of the corpus callosum (CC). At the same time, studies examining the effect of callosotomy on epilepsy patients report only negligible changes in IQ as result of the surgery, partially contradicting the findings of the morphometry studies. Objective of the present meta-analysis of individual participant data (IPD) of 87 cases from 16 reports was to re-investigate the effect of callosotomy on full scale IQ as well as on the verbal and performance subscale under special consideration of two possible moderating factors: pre-surgical IQ levels and the extent of the surgery (complete vs. anterior transsection). The main finding was that callosotomy selectively affects performance IQ, whereby the effect is modulated by the pre-surgical level of performance. Patients with an above-median pre-surgery performance IQ level show a significant average decrease of -5.44 (CI95%: - 8.33 to - 2.56) IQ points following the surgery, while the below-median group does not reveal a significant change in IQ (mean change: 1.01 IQ points; CI95%: -1.83 to 3.86). Thus, the present analyses support the notion that callosotomy has a negative effect on the patients' performance IQ, but only in those patients, who at least have an average performance levels before the surgery. This observation also lends support to the findings of previous morphometry studies, indicating that the frequently observed CC-IQ correlation might indeed reflect a functional contribution of callosal interhemispheric connectivity to intelligence-test performance.
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Westerhausen R, Friesen CM, Rohani DA, Krogsrud SK, Tamnes CK, Skranes JS, Håberg AK, Fjell AM, Walhovd KB. The corpus callosum as anatomical marker of intelligence? A critical examination in a large-scale developmental study. Brain Struct Funct 2017; 223:285-296. [PMID: 28801753 PMCID: PMC5772147 DOI: 10.1007/s00429-017-1493-0] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Accepted: 08/04/2017] [Indexed: 12/14/2022]
Abstract
Intellectual abilities are supported by a large-scale fronto-parietal brain network distributed across both cerebral hemispheres. This bihemispheric network suggests a functional relevance of inter-hemispheric coordination, a notion which is supported by a series of recent structural magnetic resonance imaging (MRI) studies demonstrating correlations between intelligence scores (IQ) and corpus-callosum anatomy. However, these studies also reveal an age-related dissociation: mostly positive associations are reported in adult samples, while negative associations are found in developing samples. In the present study, we re-examine the association between corpus callosum and intelligence measures in a large (734 datasets from 495 participants) developmental mixed cross-sectional and longitudinal sample (6.4–21.9 years) using raw test scores rather than deviation IQ measures to account for the ongoing cognitive development in this age period. Analyzing mid-sagittal measures of regional callosal thickness, a positive association in the splenium of the corpus callosum was found for both verbal and performance raw test scores. This association was not present when the participants’ age was considered in the analysis. Thus, we did not reveal any association that cannot be explained by a temporal co-occurrence of overall developmental trends in intellectual abilities and corpus callosum maturation in the present developing sample.
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Affiliation(s)
- René Westerhausen
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition (LCBC), University of Oslo, Blindern, POB 1094, 0317, Oslo, Norway.
| | - Charline-Marie Friesen
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition (LCBC), University of Oslo, Blindern, POB 1094, 0317, Oslo, Norway
| | - Darius A Rohani
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition (LCBC), University of Oslo, Blindern, POB 1094, 0317, Oslo, Norway
| | - Stine K Krogsrud
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition (LCBC), University of Oslo, Blindern, POB 1094, 0317, Oslo, Norway
| | - Christian K Tamnes
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition (LCBC), University of Oslo, Blindern, POB 1094, 0317, Oslo, Norway
| | - Jon S Skranes
- Department of Laboratory Medicine, Children's and Women's Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - Asta K Håberg
- Department of Medical Imaging, St. Olav's Hospital, Trondheim, Norway.,Department of Neuroscience, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Anders M Fjell
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition (LCBC), University of Oslo, Blindern, POB 1094, 0317, Oslo, Norway.,Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Kristine B Walhovd
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition (LCBC), University of Oslo, Blindern, POB 1094, 0317, Oslo, Norway.,Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
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Mishra VR, Zhuang X, Sreenivasan KR, Banks SJ, Yang Z, Bernick C, Cordes D. Multimodal MR Imaging Signatures of Cognitive Impairment in Active Professional Fighters. Radiology 2017; 285:555-567. [PMID: 28741982 DOI: 10.1148/radiol.2017162403] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Purpose To investigate whether combining multiple magnetic resonance (MR) imaging modalities such as T1-weighted and diffusion-weighted MR imaging could reveal imaging biomarkers associated with cognition in active professional fighters. Materials and Methods Active professional fighters (n = 297; 24 women and 273 men) were recruited at one center. Sixty-two fighters (six women and 56 men) returned for a follow-up examination. Only men were included in the main analysis of the study. On the basis of computerized testing, fighters were separated into the cognitively impaired and nonimpaired groups on the basis of computerized testing. T1-weighted and diffusion-weighted imaging were performed, and volume and cortical thickness, along with diffusion-derived metrics of 20 major white matter tracts were extracted for every subject. A classifier was designed to identify imaging biomarkers related to cognitive impairment and was tested in the follow-up dataset. Results The classifier allowed identification of seven imaging biomarkers related to cognitive impairment in the cohort of active professional fighters. Areas under the curve of 0.76 and 0.69 were obtained at baseline and at follow-up, respectively, with the optimized classifier. The number of years of fighting had a significant (P = 8.8 × 10-7) negative association with fractional anisotropy of the forceps major (effect size [d] = 0.34) and the inferior longitudinal fasciculus (P = .03; d = 0.17). A significant difference was observed between the impaired and nonimpaired groups in the association of fractional anisotropy in the forceps major with number of fights (P = .03, d = 0.38) and years of fighting (P = 6 × 10-8, d = 0.63). Fractional anisotropy of the inferior longitudinal fasciculus was positively associated with psychomotor speed (P = .04, d = 0.16) in nonimpaired fighters but no association was observed in impaired fighters. Conclusion Without enforcement of any a priori assumptions on the MR imaging-derived measurements and with a multivariate approach, the study revealed a set of seven imaging biomarkers that were associated with cognition in active male professional fighters. © RSNA, 2017 Online supplemental material is available for this article.
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Affiliation(s)
- Virendra R Mishra
- From the Department of Imaging Research, Cleveland Clinic Lou Ruvo Center for Brain Health, 888 W Bonneville Ave, Las Vegas, NV 89106
| | - Xiaowei Zhuang
- From the Department of Imaging Research, Cleveland Clinic Lou Ruvo Center for Brain Health, 888 W Bonneville Ave, Las Vegas, NV 89106
| | - Karthik R Sreenivasan
- From the Department of Imaging Research, Cleveland Clinic Lou Ruvo Center for Brain Health, 888 W Bonneville Ave, Las Vegas, NV 89106
| | - Sarah J Banks
- From the Department of Imaging Research, Cleveland Clinic Lou Ruvo Center for Brain Health, 888 W Bonneville Ave, Las Vegas, NV 89106
| | - Zhengshi Yang
- From the Department of Imaging Research, Cleveland Clinic Lou Ruvo Center for Brain Health, 888 W Bonneville Ave, Las Vegas, NV 89106
| | - Charles Bernick
- From the Department of Imaging Research, Cleveland Clinic Lou Ruvo Center for Brain Health, 888 W Bonneville Ave, Las Vegas, NV 89106
| | - Dietmar Cordes
- From the Department of Imaging Research, Cleveland Clinic Lou Ruvo Center for Brain Health, 888 W Bonneville Ave, Las Vegas, NV 89106
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Martínez K, Janssen J, Pineda-Pardo JÁ, Carmona S, Román FJ, Alemán-Gómez Y, Garcia-Garcia D, Escorial S, Quiroga MÁ, Santarnecchi E, Navas-Sánchez FJ, Desco M, Arango C, Colom R. Individual differences in the dominance of interhemispheric connections predict cognitive ability beyond sex and brain size. Neuroimage 2017; 155:234-244. [DOI: 10.1016/j.neuroimage.2017.04.029] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Revised: 03/28/2017] [Accepted: 04/13/2017] [Indexed: 01/25/2023] Open
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Papazoglou S, Würfel J, Paul F, Brandt AU, Scheel M. Single-subject independent component analysis-based intensity normalization in non-quantitative multi-modal structural MRI. Hum Brain Mapp 2017; 38:3615-3622. [PMID: 28432780 DOI: 10.1002/hbm.23615] [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: 10/31/2016] [Revised: 04/03/2017] [Accepted: 04/05/2017] [Indexed: 11/10/2022] Open
Abstract
Non-quantitative MRI is prone to intersubject intensity variation rendering signal intensity level based analyses limited. Here, we propose a method that fuses non-quantitative routine T1-weighted (T1w), T2w, and T2w fluid-saturated inversion recovery sequences using independent component analysis and validate it on age and sex matched healthy controls. The proposed method leads to consistent and independent components with a significantly reduced coefficient-of-variation across subjects, suggesting potential to serve as automatic intensity normalization and thus to enhance the power of intensity based statistical analyses. To exemplify this, we show that voxelwise statistical testing on single-subject independent components reveals in particular a widespread sex difference in white matter, which was previously shown using, for example, diffusion tensor imaging but unobservable in the native MRI contrasts. In conclusion, our study shows that single-subject independent component analysis can be applied to routine sequences, thereby enhancing comparability in-between subjects. Unlike quantitative MRI, which requires specific sequences during acquisition, our method is applicable to existing MRI data. Hum Brain Mapp 38:3615-3622, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Sebastian Papazoglou
- NeuroCure Clinical Research Center, NeuroCure Cluster of Excellence, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Jens Würfel
- Medical Image Analysis Center (MIAG AG), Basel, Switzerland
| | - Friedemann Paul
- NeuroCure Clinical Research Center, NeuroCure Cluster of Excellence, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Experimental and Clinical Research Center, Max Delbrück Center for Molecular Medicine and Charité, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Alexander U Brandt
- NeuroCure Clinical Research Center, NeuroCure Cluster of Excellence, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Michael Scheel
- NeuroCure Clinical Research Center, NeuroCure Cluster of Excellence, Charité - Universitätsmedizin Berlin, Berlin, Germany
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Nusbaum F, Hannoun S, Kocevar G, Stamile C, Fourneret P, Revol O, Sappey-Marinier D. Hemispheric Differences in White Matter Microstructure between Two Profiles of Children with High Intelligence Quotient vs. Controls: A Tract-Based Spatial Statistics Study. Front Neurosci 2017; 11:173. [PMID: 28420955 PMCID: PMC5376583 DOI: 10.3389/fnins.2017.00173] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2016] [Accepted: 03/15/2017] [Indexed: 01/09/2023] Open
Abstract
Objectives: The main goal of this study was to investigate and compare the neural substrate of two children's profiles of high intelligence quotient (HIQ). Methods: Two groups of HIQ children were included with either a homogeneous (Hom-HIQ: n = 20) or a heterogeneous IQ profile (Het-HIQ: n = 24) as defined by a significant difference between verbal comprehension index and perceptual reasoning index. Diffusion tensor imaging was used to assess white matter (WM) microstructure while tract-based spatial statistics (TBSS) analysis was performed to detect and localize WM regional differences in fractional anisotropy (FA), mean diffusivity, axial (AD), and radial diffusivities. Quantitative measurements were performed on 48 regions and 21 fiber-bundles of WM. Results: Hom-HIQ children presented higher FA than Het-HIQ children in widespread WM regions including central structures, and associative intra-hemispheric WM fasciculi. AD was also greater in numerous WM regions of Total-HIQ, Hom-HIQ, and Het-HIQ groups when compared to the Control group. Hom-HIQ and Het-HIQ groups also differed by their hemispheric lateralization in AD differences compared to Controls. Het-HIQ and Hom-HIQ groups showed a lateralization ratio (left/right) of 1.38 and 0.78, respectively. Conclusions: These findings suggest that both inter- and intra-hemispheric WM integrity are enhanced in HIQ children and that neural substrate differs between Hom-HIQ and Het-HIQ. The left hemispheric lateralization of Het-HIQ children is concordant with their higher verbal index while the relative right hemispheric lateralization of Hom-HIQ children is concordant with their global brain processing and adaptation capacities as evidenced by their homogeneous IQ.
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Affiliation(s)
- Fanny Nusbaum
- Laboratoire Parcours Santé Systémique (EA4129), Université Claude Bernard-Lyon 1 & Centre PSYRENELyon, France
| | - Salem Hannoun
- CREATIS (CNRS UMR5220 & INSERM U1206), Université Claude Bernard-Lyon 1Villeurbanne, France.,Faculty of Medicine, Abu-Haidar Neuroscience Institute, American University of BeirutBeirut, Lebanon
| | - Gabriel Kocevar
- CREATIS (CNRS UMR5220 & INSERM U1206), Université Claude Bernard-Lyon 1Villeurbanne, France
| | - Claudio Stamile
- CREATIS (CNRS UMR5220 & INSERM U1206), Université Claude Bernard-Lyon 1Villeurbanne, France
| | - Pierre Fourneret
- Service de Psychopathologie du Développement, Hôpital Femme-Mère-Enfant, Hospices Civils de LyonBron, France
| | - Olivier Revol
- Service de Psychopathologie de l'Enfant et de l'Adolescent, Hôpital Neurologique, Hospices Civils de LyonBron, France
| | - Dominique Sappey-Marinier
- CREATIS (CNRS UMR5220 & INSERM U1206), Université Claude Bernard-Lyon 1Villeurbanne, France.,CERMEP-Imagerie du Vivant, Université de LyonBron, France
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Making Brains run Faster: are they Becoming Smarter? SPANISH JOURNAL OF PSYCHOLOGY 2016; 19:E88. [DOI: 10.1017/sjp.2016.83] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
AbstractA brief overview of structural and functional brain characteristics related to g is presented in the light of major neurobiological theories of intelligence: Neural Efficiency, P-FIT and Multiple-Demand system. These theories provide a framework to discuss the main objective of the paper: what is the relationship between individual alpha frequency (IAF) and g? Three studies were conducted in order to investigate this relationship: two correlational studies and a third study in which we experimentally induced changes in IAF by means of transcranial alternating current stimulation (tACS). (1) In a large scale study (n = 417), no significant correlations between IAF and IQ were observed. However, in males IAF positively correlated with mental rotation and shape manipulation and with an attentional focus on detail. (2) The second study showed sex-specific correlations between IAF (obtained during task performance) and scope of attention in males and between IAF and reaction time in females. (3) In the third study, individuals’ IAF was increased with tACS. The induced changes in IAF had a disrupting effect on male performance on Raven’s matrices, whereas a mild positive effect was observed for females. Neuro-electric activity after verum tACS showed increased desynchronization in the upper alpha band and dissociation between fronto-parietal and right temporal brain areas during performance on Raven’s matrices. The results are discussed in the light of gender differences in brain structure and activity.
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Hausmann M. Why sex hormones matter for neuroscience: A very short review on sex, sex hormones, and functional brain asymmetries. J Neurosci Res 2016; 95:40-49. [DOI: 10.1002/jnr.23857] [Citation(s) in RCA: 78] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2016] [Revised: 07/01/2016] [Accepted: 07/11/2016] [Indexed: 01/17/2023]
Affiliation(s)
- Markus Hausmann
- Department of Psychology; Durham University; Durham United Kingdom
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Knight MJ, McCann B, Tsivos D, Dillon S, Coulthard E, Kauppinen RA. Quantitative T2 mapping of white matter: applications for ageing and cognitive decline. Phys Med Biol 2016; 61:5587-605. [PMID: 27384985 PMCID: PMC5390949 DOI: 10.1088/0031-9155/61/15/5587] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
In MRI, the coherence lifetime T2 is sensitive to the magnetic environment imposed by tissue microstructure and biochemistry in vivo. Here we explore the possibility that the use of T2 relaxometry may provide information complementary to that provided by diffusion tensor imaging (DTI) in ageing of healthy controls (HC), Alzheimer’s disease (AD) and mild cognitive impairment (MCI). T2 and diffusion MRI metrics were quantified in HC and patients with MCI and mild AD using multi-echo MRI and DTI. We used tract-based spatial statistics (TBSS) to evaluate quantitative MRI parameters in white matter (WM). A prolonged T2 in WM was associated with AD, and able to distinguish AD from MCI, and AD from HC. Shorter WM T2 was associated with better cognition and younger age in general. In no case was a reduction in T2 associated with poorer cognition. We also applied principal component analysis, showing that WM volume changes independently of T2, MRI diffusion indices and cognitive performance indices. Our data add to the evidence that age-related and AD-related decline in cognition is in part attributable to WM tissue state, and much less to WM quantity. These observations suggest that WM is involved in AD pathology, and that T2 relaxometry is a potential imaging modality for detecting and characterising WM in cognitive decline and dementia.
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Affiliation(s)
- Michael J Knight
- School of Experimental Psychology, 12a Priory Road, University of Bristol, Bristol, BS8 1TU, UK
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Choo AL, Burnham E, Hicks K, Chang SE. Dissociations among linguistic, cognitive, and auditory-motor neuroanatomical domains in children who stutter. JOURNAL OF COMMUNICATION DISORDERS 2016; 61:29-47. [PMID: 27010940 PMCID: PMC4880500 DOI: 10.1016/j.jcomdis.2016.03.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2015] [Revised: 02/04/2016] [Accepted: 03/12/2016] [Indexed: 05/26/2023]
Abstract
The onset of developmental stuttering typically occurs between 2 to 4 years of age, coinciding with a period of rapid development in speech, language, motor and cognitive domains. Previous studies have reported generally poorer performance and uneven, or "dissociated" development across speech and language domains in children who stutter (CWS) relative to children who do not stutter (CWNS) (Anderson, Pellowski, & Conture, 2005). The aim of this study was to replicate and expand previous findings by examining whether CWS exhibit dissociated development across speech-language, cognitive, and motor domains that are also reflected in measures of neuroanatomical development. Participants were 66CWS (23 females) and 53CWNS (26 females) ranging from 3 to 10 years. Standardized speech, language, cognitive, and motor skills measures, and fractional anisotropy (FA) values derived from diffusion tensor imaging from speech relevant "dorsal auditory" left perisylvian areas (Hickok & Poeppel, 2007) were analyzed using a correlation-based statistical procedure (Coulter, Anderson, & Conture, 2009) that quantified dissociations across domains. Overall, CWS scored consistently lower on speech, language, cognitive and motor measures, and exhibited dissociated development involving these same measures and white matter neuroanatomical indices relative to CWNS. Boys who stutter exhibited a greater number of dissociations compared to girls who stutter. Results suggest a subgroup of CWS may have incongruent development across multiple domains, and the resolution of this imbalance may be a factor in recovery from stuttering.
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Affiliation(s)
- Ai Leen Choo
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
| | - Evamarie Burnham
- Department of Communicative Sciences and Disorders, Michigan State University, East Lansing, MI, USA.
| | - Kristin Hicks
- Department of Communicative Sciences and Disorders, Michigan State University, East Lansing, MI, USA.
| | - Soo-Eun Chang
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
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