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Kizilirmak JM, Soch J, Richter A, Schott BH. Age-related differences in fMRI subsequent memory effects are directly linked to local grey matter volume differences. Neurobiol Aging 2024; 134:160-164. [PMID: 38096708 DOI: 10.1016/j.neurobiolaging.2023.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 12/01/2023] [Accepted: 12/01/2023] [Indexed: 01/02/2024]
Abstract
Episodic memory performance declines with increasing age, and older adults typically show reduced activation of inferior temporo-parietal cortices in functional magnetic resonance imaging (fMRI) studies of episodic memory formation. Given the age-related cortical volume loss, it is conceivable that age-related reduction of memory-related fMRI activity may be partially attributable to reduced grey matter volume (GMV). We performed a voxel-wise multimodal neuroimaging analysis of fMRI correlates of successful memory encoding, using regional GMV as covariate. In a large cohort of healthy adults (106 young, 111 older), older adults showed reduced GMV across the entire neocortex and reduced encoding-related activation of inferior temporal and parieto-occipital cortices compared to young adults. Importantly, these reduced fMRI activations during successful encoding could in part be attributed to lower regional GMV. Our results highlight the importance of controlling for structural MRI differences in fMRI studies in older adults but also demonstrate that age-related differences in memory-related fMRI activity cannot be attributed to structural variability alone.
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Affiliation(s)
- Jasmin M Kizilirmak
- Cognitive Geriatric Psychiatry Group, German Center for Neurodegenerative Diseases, Göttingen, Germany; Neurodidactics and NeuroLab, Institute for Psychology, University of Hildesheim, Hildesheim, Germany; German Centre for Higher Education Research and Science Studies, Hannover, Germany.
| | - Joram Soch
- Cognitive Geriatric Psychiatry Group, German Center for Neurodegenerative Diseases, Göttingen, Germany; Bernstein Center for Computational Neuroscience, Berlin, Germany
| | - Anni Richter
- Leibniz Institute for Neurobiology, Magdeburg, Germany; Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Jena-Magdeburg, Halle, Germany; German Center for Mental Health (DZPG), Germany
| | - Björn H Schott
- Cognitive Geriatric Psychiatry Group, German Center for Neurodegenerative Diseases, Göttingen, Germany; Leibniz Institute for Neurobiology, Magdeburg, Germany; Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
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2
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Dinatolo MF, Pur DR, Eagleson R, de Ribaupierre S. The Role of Blood Oxygen Level Dependent Signal Variability in Pediatric Neuroscience: A Systematic Review. Life (Basel) 2023; 13:1587. [PMID: 37511962 PMCID: PMC10382051 DOI: 10.3390/life13071587] [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: 05/09/2023] [Revised: 06/27/2023] [Accepted: 07/10/2023] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND As pediatric BOLD Signal Variability (SV) analysis is relatively novel, there is a need to provide a foundational framework that gives researchers an entry point into engaging with the topic. This begins with clarifying the definition of BOLD signal variability by identifying and categorizing the various metrics utilized to measure BOLD SV. METHODS A systematic review of the literature was conducted. Inclusion criteria were restricted to studies utilizing any metric of BOLD SV and with individuals younger than 18 in the study population. The definition of BOLD SV was any measure of intra-individual variability in the BOLD signal. Five databases were searched: Psychinfo, Healthstar, MEDLINE, Embase, and Scopus. RESULTS A total of 17 observational studies, including male (n = 1796) and female (n = 1324) pediatric participants were included. Eight studies quantified variability as the amount of deviation from the average BOLD signal, seven used complexity-based metrics, three used correlation measures of variability, and one used the structure of the hemodynamic response function. In this study, 10 methods of quantifying signal variability were identified. Associations and trends in BOLD SV were commonly found with age, factors specific to mental and/or neurological disorders such as attention deficit disorder, epilepsy, psychotic symptoms, and performance on psychological and behavioral tasks. CONCLUSIONS BOLD SV is a potential biomarker of neurodevelopmental and neurological conditions and symptom severity in mental disorders for defined pediatric populations. Studies that establish clinical trends and identify the mechanisms underlying BOLD SV with a low risk of bias are needed before clinical applications can be utilized by physicians.
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Affiliation(s)
- Michael F Dinatolo
- Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5C1, Canada
| | - Daiana Roxana Pur
- Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5C1, Canada
| | - Roy Eagleson
- Brain and Mind Institute, Western University, London, ON N6A 5B7, Canada
- Department of Electrical and Computer Engineering, Western University, London, ON N6A 3K7, Canada
| | - Sandrine de Ribaupierre
- Brain and Mind Institute, Western University, London, ON N6A 5B7, Canada
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5C1, Canada
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3
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Philippi CL, Leutzinger K, Pessin S, Cassani A, Mikel O, Walsh EC, Hoks RM, Birn RM, Abercrombie HC. Neural signal variability relates to maladaptive rumination in depression. J Psychiatr Res 2022; 156:570-578. [PMID: 36368247 PMCID: PMC9817305 DOI: 10.1016/j.jpsychires.2022.10.070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 10/28/2022] [Accepted: 10/31/2022] [Indexed: 11/05/2022]
Abstract
Rumination is a common feature of depression and predicts the onset and maintenance of depressive episodes. Maladaptive and adaptive subtypes of rumination contribute to distinct outcomes, with brooding worsening negative mood and reflection related to fewer depression symptoms in healthy populations. Neuroimaging studies have implicated several cortical midline and lateral prefrontal brain regions in rumination. Recent research indicates that blood oxygen level-dependent (BOLD) signal variability may be a novel predictor of cognitive flexibility. However, no prior studies have investigated whether brooding and reflection are associated with distinct patterns of BOLD signal variability in depression. We collected resting-state fMRI data for 79 women with different depression histories: no history, past history, and current depression. We examined differences in BOLD signal variability (BOLDSD) related to rumination subtypes for the following regions of interest previously implicated in rumination: amygdala, medial prefrontal, anterior cingulate, posterior cingulate, and dorsolateral prefrontal cortices (dlPFC). Rumination subtype was associated with BOLDSD in the dlPFC, with greater levels of brooding associated with lower BOLDSD in the dlPFC, even after controlling for depression severity. Depression history was related to BOLDSD in the dlPFC, with reduced BOLDSD in those with current depression versus no history of depression. These findings provide a novel demonstration of the neural circuitry associated with maladaptive rumination in depression and implicate decreased prefrontal neural signal variability in the pathophysiology of depression.
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Affiliation(s)
- Carissa L Philippi
- Department of Psychological Sciences, University of Missouri-St. Louis, 1 University Blvd., St. Louis, Missouri, 63121, USA.
| | - Katie Leutzinger
- Department of Psychological Sciences, University of Missouri-St. Louis, 1 University Blvd., St. Louis, Missouri, 63121, USA
| | - Sally Pessin
- Department of Psychological Sciences, University of Missouri-St. Louis, 1 University Blvd., St. Louis, Missouri, 63121, USA
| | - Alexis Cassani
- Department of Psychological Sciences, University of Missouri-St. Louis, 1 University Blvd., St. Louis, Missouri, 63121, USA
| | - Olivia Mikel
- Department of Psychological Sciences, University of Missouri-St. Louis, 1 University Blvd., St. Louis, Missouri, 63121, USA
| | - Erin C Walsh
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, CB# 7167, Chapel Hill, NC, 27599, USA
| | - Roxanne M Hoks
- Center for Healthy Minds, University of Wisconsin-Madison, 625 W. Washington Ave., Madison, WI, 53703, USA
| | - Rasmus M Birn
- Department of Psychiatry, University of Wisconsin-Madison, University of Wisconsin-Madison, 6001 Research Park Blvd., Madison, WI, 53719, USA
| | - Heather C Abercrombie
- Center for Healthy Minds, University of Wisconsin-Madison, 625 W. Washington Ave., Madison, WI, 53703, USA
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4
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Habeck C, Gazes Y, Stern Y. Age-Specific Activation Patterns and Inter-Subject Similarity During Verbal Working Memory Maintenance and Cognitive Reserve. Front Psychol 2022; 13:852995. [PMID: 35756196 PMCID: PMC9218333 DOI: 10.3389/fpsyg.2022.852995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 05/16/2022] [Indexed: 11/21/2022] Open
Abstract
Cognitive Reserve (CR), according to a recent consensus definition of the NIH-funded Reserve and Resilience collaboratory, is constituted by any mechanism contributing to cognitive performance beyond, or interacting with, brain structure in the widest sense. To identity multivariate activation patterns fulfilling this postulate, we investigated a verbal Sternberg fMRI task and imaged 181 people with age coverage in the ranges 20-30 (44 participants) and 55-70 (137 participants). Beyond task performance, participants were characterized in terms of demographics, and neuropsychological assessments of vocabulary, episodic memory, perceptual speed, and abstract fluid reasoning. Participants studied an array of either one, three, or six upper-case letters for 3 s (=encoding phase), then a blank fixation screen was presented for 7 s (=maintenance phase), to be probed with a lower-case letter to which they responded with a differential button press whether the letter was part of the studied array or not (=retrieval phase). We focused on identifying maintenance-related activation patterns showing memory load increases in pattern score on an individual participant level for both age groups. We found such a pattern that increased with memory load for all but one person in the young participants (p < 0.001), and such a pattern for all participants in the older group (p < 0.001). Both patterns showed broad topographic similarities; however, relationships to task performance and neuropsychological characteristics were markedly different and point to individual differences in Cognitive Reserve. Beyond the derivation of group-level activation patterns, we also investigated the inter-subject spatial similarity of individual working memory rehearsal patterns in the older participants' group as a function of neuropsychological and task performance, education, and mean cortical thickness. Higher task accuracy and neuropsychological function was reliably associated with higher inter-subject similarity of individual-level activation patterns in older participants.
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Affiliation(s)
- Christian Habeck
- Cognitive Neuroscience Division, Department of Neurology, Columbia University Irving Medical Center, New York, NY, United States
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5
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Petrican R, Fornito A, Jones N. Psychological Resilience and Neurodegenerative Risk: A Connectomics-Transcriptomics Investigation in Healthy Adolescent and Middle-Aged Females. Neuroimage 2022; 255:119209. [PMID: 35429627 DOI: 10.1016/j.neuroimage.2022.119209] [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: 09/14/2021] [Revised: 04/05/2022] [Accepted: 04/11/2022] [Indexed: 11/25/2022] Open
Abstract
Adverse life events can inflict substantial long-term damage, which, paradoxically, has been posited to stem from initially adaptative responses to the challenges encountered in one's environment. Thus, identification of the mechanisms linking resilience against recent stressors to longer-term psychological vulnerability is key to understanding optimal functioning across multiple timescales. To address this issue, our study tested the relevance of neuro-reproductive maturation and senescence, respectively, to both resilience and longer-term risk for pathologies characterised by accelerated brain aging, specifically, Alzheimer's Disease (AD). Graph theoretical and partial least squares analyses were conducted on multimodal imaging, reported biological aging and recent adverse experience data from the Lifespan Human Connectome Project (HCP). Availability of reproductive maturation/senescence measures restricted our investigation to adolescent (N =178) and middle-aged (N=146) females. Psychological resilience was linked to age-specific brain senescence patterns suggestive of precocious functional development of somatomotor and control-relevant networks (adolescence) and earlier aging of default mode and salience/ventral attention systems (middle adulthood). Biological aging showed complementary associations with the neural patterns relevant to resilience in adolescence (positive relationship) versus middle-age (negative relationship). Transcriptomic and expression quantitative trait locus data analyses linked the neural aging patterns correlated with psychological resilience in middle adulthood to gene expression patterns suggestive of increased AD risk. Our results imply a partially antagonistic relationship between resilience against proximal stressors and longer-term psychological adjustment in later life. They thus underscore the importance of fine-tuning extant views on successful coping by considering the multiple timescales across which age-specific processes may unfold.
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Affiliation(s)
- Raluca Petrican
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom.
| | - Alex Fornito
- The Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, Melbourne, VIC, Australia
| | - Natalie Jones
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
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6
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Andrushko JW, Gould L, Renshaw DW, Forrester S, Kelly ME, Linassi G, Mickleborough M, Oates A, Hunter G, Borowsky R, Farthing JP. Ipsilesional Motor Cortex Activation with High-force Unimanual Handgrip Contractions of the Less-affected Limb in Participants with Stroke. Neuroscience 2021; 483:82-94. [PMID: 34920023 DOI: 10.1016/j.neuroscience.2021.12.011] [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: 08/11/2021] [Revised: 12/07/2021] [Accepted: 12/08/2021] [Indexed: 11/27/2022]
Abstract
Stroke is a leading cause of severe disability that often presents with unilateral motor impairment. Conventional rehabilitation approaches focus on motor practice of the affected limb and aim to suppress brain activity in the contralesional hemisphere. Conversely, exercise of the less-affected limb promotes contralesional brain activity which is typically viewed as contraindicated in stroke recovery due to the interhemispheric inhibitory influence onto the ipsilesional hemisphere. Yet, high-force unimanual handgrip contractions are known to increase ipsilateral brain activation in control participants, and it remains to be determined if high-force contractions with the less-affected limb would promote ipsilateral brain activation in participants with stroke (i.e., the ipsilesional hemisphere). Therefore, this study aimed to determine how parametric increases in handgrip force during repeated contractions with the less-affected limb impacts brain activity bilaterally in participants with stroke and in a cohort of neurologically intact controls. Participants performed repeated submaximal contractions at 25%, 50%, and 75% of their maximum voluntary contraction during separate functional magnetic resonance imaging brain scans. Brain activation during the tasks was quantified as the present change from resting levels. In this study, higher force contractions were found to increase brain activation in the ipsilesional (stroke)/ipsilateral (controls) hemisphere in both groups (p = .002), but no between group differences were observed. These data suggest that high-force exercise with the less-affected limb may promote ipsilesional cortical plasticity to promote motor recovery of the affected-limb in participants with stroke.
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Affiliation(s)
- Justin W Andrushko
- College of Kinesiology, University of Saskatchewan, Saskatchewan, Canada
| | - Layla Gould
- Department of Surgery, Division of Neurosurgery, College of Medicine, University of Saskatchewan, Saskatchewan, Canada
| | - Doug W Renshaw
- College of Kinesiology, University of Saskatchewan, Saskatchewan, Canada
| | - Shannon Forrester
- College of Kinesiology, University of Saskatchewan, Saskatchewan, Canada
| | - Michael E Kelly
- Department of Surgery, Division of Neurosurgery, College of Medicine, University of Saskatchewan, Saskatchewan, Canada
| | - Gary Linassi
- Department of Physical Medicine and Rehabilitation, College of Medicine, University of Saskatchewan, Saskatchewan, Canada
| | - Marla Mickleborough
- Department of Psychology, College of Arts and Science, University of Saskatchewan, Saskatchewan, Canada
| | - Alison Oates
- College of Kinesiology, University of Saskatchewan, Saskatchewan, Canada
| | - Gary Hunter
- Department of Medicine, Division of Neurology, College of Medicine, University of Saskatchewan, Saskatchewan, Canada
| | - Ron Borowsky
- Department of Psychology, College of Arts and Science, University of Saskatchewan, Saskatchewan, Canada
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7
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Petrican R, Miles S, Rudd L, Wasiewska W, Graham KS, Lawrence AD. Pubertal timing and functional neurodevelopmental alterations independently mediate the effect of family conflict on adolescent psychopathology. Dev Cogn Neurosci 2021; 52:101032. [PMID: 34781251 PMCID: PMC10436252 DOI: 10.1016/j.dcn.2021.101032] [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: 05/27/2021] [Revised: 10/29/2021] [Accepted: 11/04/2021] [Indexed: 12/28/2022] Open
Abstract
This study tested the hypothesis that early life adversity (ELA) heightens psychopathology risk by concurrently altering pubertal and neurodevelopmental timing, and associated gene transcription signatures. Analyses focused on threat- (family conflict/neighbourhood crime) and deprivation-related ELAs (parental inattentiveness/unmet material needs), using longitudinal data from 1514 biologically unrelated youths in the Adolescent Brain and Cognitive Development (ABCD) study. Typical developmental changes in white matter microstructure corresponded to widespread BOLD signal variability (BOLDsv) increases (linked to cell communication and biosynthesis genes) and region-specific task-related BOLDsv increases/decreases (linked to signal transduction, immune and external environmental response genes). Increasing resting-state (RS), but decreasing task-related BOLDsv predicted normative functional network segregation. Family conflict was the strongest concurrent and prospective contributor to psychopathology, while material deprivation constituted an additive risk factor. ELA-linked psychopathology was predicted by higher Time 1 threat-evoked BOLDSV (associated with axonal development, myelination, cell differentiation and signal transduction genes), reduced Time 2 RS BOLDsv (associated with cell metabolism and attention genes) and greater Time 1 to Time 2 control/attention network segregation. Earlier pubertal timing and neurodevelopmental alterations independently mediated ELA effects on psychopathology. Our results underscore the differential roles of the immediate and wider external environment(s) in concurrent and longer-term ELA consequences.
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Affiliation(s)
- Raluca Petrican
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff CF24 4HQ, United Kingdom.
| | - Sian Miles
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff CF24 4HQ, United Kingdom
| | - Lily Rudd
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff CF24 4HQ, United Kingdom
| | - Wiktoria Wasiewska
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff CF24 4HQ, United Kingdom
| | - Kim S Graham
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff CF24 4HQ, United Kingdom
| | - Andrew D Lawrence
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff CF24 4HQ, United Kingdom
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8
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Neumann L, Wulms N, Witte V, Spisak T, Zunhammer M, Bingel U, Schmidt-Wilcke T. Network properties and regional brain morphology of the insular cortex correlate with individual pain thresholds. Hum Brain Mapp 2021; 42:4896-4908. [PMID: 34296487 PMCID: PMC8449096 DOI: 10.1002/hbm.25588] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 06/15/2021] [Accepted: 06/20/2021] [Indexed: 12/16/2022] Open
Abstract
Pain thresholds vary considerably across individuals and are influenced by a number of behavioral, genetic and neurobiological factors. However, the neurobiological underpinnings that account for individual differences remain to be fully elucidated. In this study, we used voxel‐based morphometry (VBM) and graph theory, specifically the local clustering coefficient (CC) based on resting‐state connectivity, to identify brain regions, where regional gray matter volume and network properties predicted individual pain thresholds. As a main finding, we identified a cluster in the left posterior insular cortex (IC) reaching into the left parietal operculum, including the secondary somatosensory cortex, where both regional gray matter volume and the local CC correlated with individual pain thresholds. We also performed a resting‐state functional connectivity analysis using the left posterior IC as seed region, demonstrating that connectivity to the pre‐ as well as postcentral gyrus bilaterally; that is, to the motor and primary sensory cortices were correlated with individual pain thresholds. To our knowledge, this is the first study that applied VBM in combination with voxel‐based graph theory in the context of pain thresholds. The co‐location of the VBM and the local CC cluster provide first evidence that both structure and function map to the same brain region while being correlated with the same behavioral measure; that is, pain thresholds. The study highlights the importance of the posterior IC, not only for pain perception in general, but also for the determination of individual pain thresholds.
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Affiliation(s)
- Lynn Neumann
- Medizinische Klinik I, Klinik für Innere Medizin, Nephrologie und Dialyse, Osteologie und Rheumatologie, St. Franziskus-Hospital Münster, Münster, Germany
| | - Niklas Wulms
- Institut für Epidemiologie und Sozialmedizin, Universitätsklinikum Münster, Münster, Germany
| | - Vanessa Witte
- Klinik für Dermatologie, Venerologie und Allergologie, St. Josef-Hospital Bochum, Ruhr-Universität Bochum, Bochum, Germany
| | - Tamas Spisak
- Klinik für Neurologie, Universitätsklinikum Essen, Essen, Germany
| | | | - Ulrike Bingel
- Klinik für Neurologie, Universitätsklinikum Essen, Essen, Germany
| | - Tobias Schmidt-Wilcke
- Institut für Klinische Neurowissenschaften und Medizinische Psychologie, Heinrich Heine Universität, Düsseldorf, Germany.,Neurologisches Zentrum, Bezirksklinikum Mainkofen, Deggendorf, Germany
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9
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Myznikov A, Zheltyakova M, Korotkov A, Kireev M, Masharipov R, Jagmurov OD, Habel U, Votinov M. Neuroanatomical Correlates of Social Intelligence Measured by the Guilford Test. Brain Topogr 2021; 34:337-347. [PMID: 33866460 PMCID: PMC8099826 DOI: 10.1007/s10548-021-00837-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 03/30/2021] [Indexed: 02/07/2023]
Abstract
Social interactions are a crucial aspect of human behaviour. Numerous neurophysiological studies have focused on socio-cognitive processes associated with the so-called theory of mind-the ability to attribute mental states to oneself and others. Theory of mind is closely related to social intelligence defined as a set of abilities that facilitate effective social interactions. Social intelligence encompasses multiple theory of mind components and can be measured by the Four Factor Test of Social Intelligence (the Guilford-Sullivan test). However, it is unclear whether the differences in social intelligence are reflected in structural brain differences. During the experiment, 48 healthy right-handed individuals completed the Guilford-Sullivan test. T1-weighted structural MRI images were obtained for all participants. Voxel-based morphometry analysis was performed to reveal grey matter volume differences between the two groups (24 subjects in each)-with high social intelligence scores and with low social intelligence scores, respectively. Participants with high social intelligence scores had larger grey matter volumes of the bilateral caudate. The obtained results suggest the caudate nucleus involvement in the neural system of socio-cognitive processes, reflected by its structural characteristics.
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Affiliation(s)
- A Myznikov
- N.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia
| | - M Zheltyakova
- N.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia
| | - A Korotkov
- N.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia
| | - M Kireev
- N.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia
- Saint Petersburg State University, Saint-Petersburg, Russia
| | - R Masharipov
- N.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia
| | - O Dz Jagmurov
- N.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia
| | - U Habel
- Institute of Neuroscience and Medicine 10, Research Centre Jülich, Jülich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - M Votinov
- N.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia.
- Institute of Neuroscience and Medicine 10, Research Centre Jülich, Jülich, Germany.
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10
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Viessmann O, Polimeni JR. High-resolution fMRI at 7 Tesla: challenges, promises and recent developments for individual-focused fMRI studies. Curr Opin Behav Sci 2021; 40:96-104. [PMID: 33816717 DOI: 10.1016/j.cobeha.2021.01.011] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Limited detection power has been a bottleneck for subject-specific functional MRI (fMRI) studies, however the higher signal-to-noise ratio afforded by ultra-high magnetic fields (≥ 7 Tesla) provides levels of sensitivity and resolution needed to study individual subjects. What may be surprising is that higher imaging resolution may provide both higher specificity and sensitivity due to reductions in partial volume effects and reduced physiological noise. However, challenges remain to ensure high data quality and to reduce variability in ultra-high field fMRI. We discuss session-specific biases including those caused by factors related to instrumentation, anatomy, and physiology-which can translate into variability across sessions-and how to minimize these to help ultra-high field fMRI reach its full potential for individual-focused studies.
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Affiliation(s)
- Olivia Viessmann
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.,Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Jonathan R Polimeni
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.,Department of Radiology, Harvard Medical School, Boston, MA, USA.,Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA
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11
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Zhao R, Su Q, Chen Z, Sun H, Liang M, Xue Y. Neural Correlates of Cognitive Dysfunctions in Cervical Spondylotic Myelopathy Patients: A Resting-State fMRI Study. Front Neurol 2020; 11:596795. [PMID: 33424749 PMCID: PMC7785814 DOI: 10.3389/fneur.2020.596795] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 11/19/2020] [Indexed: 12/13/2022] Open
Abstract
Cervical spondylotic myelopathy (CSM) is a common disease of the elderly that is characterized by gait instability, sensorimotor deficits, etc. Recurrent symptoms including memory loss, poor attention, etc. have also been reported in recent studies. However, these have been rarely investigated in CSM patients. To investigate the cognitive deficits and their correlation with brain functional alterations, we conducted resting-state fMRI (rs-fMRI) signal variability. This is a novel indicator in the neuroimaging field for assessing the regional neural activity in CSM patients. Further, to explore the network changes in patients, functional connectivity (FC) and graph theory analyses were performed. Compared with the controls, the signal variabilities were significantly lower in the widespread brain regions especially at the default mode network (DMN), visual network, and somatosensory network. The altered inferior parietal lobule signal variability positively correlated with the cognitive function level. Moreover, the FC and the global efficiency of DMN increased in patients with CSM and positively correlated with the cognitive function level. According to the study results, (1) the cervical spondylotic myelopathy patients exhibited regional neural impairments, which correlated with the severity of cognitive deficits in the DMN brain regions, and (2) the increased FC and global efficiency of DMN can compensate for the regional impairment.
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Affiliation(s)
- Rui Zhao
- Department of Orthopedics Surgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Qian Su
- Department of Molecular Imaging and Nuclear Medicine, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for China, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Zhao Chen
- Department of Orthopedics Surgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Haoran Sun
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Meng Liang
- School of Medical Imaging, Tianjin Medical University, Tianjin, China
| | - Yuan Xue
- Department of Orthopedics Surgery, Tianjin Medical University General Hospital, Tianjin, China.,Tianjin Key Laboratory of Spine and Spinal Cord, Tianjin Medical University General Hospital, Tianjin, China
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12
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Walhovd KB, Amlien I, Schrantee A, Rohani DA, Groote I, Bjørnerud A, Fjell AM, Reneman L. Methylphenidate Effects on Cortical Thickness in Children and Adults with Attention-Deficit/Hyperactivity Disorder: A Randomized Clinical Trial. AJNR Am J Neuroradiol 2020; 41:758-765. [PMID: 32414901 DOI: 10.3174/ajnr.a6560] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Accepted: 04/08/2020] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Although methylphenidate is frequently used to treat children with attention-deficit/hyperactivity disorder, it is currently unknown how methylphenidate affects brain development. In a randomized controlled trial, we investigated whether the cortical effects of methylphenidate are modulated by age. MATERIALS AND METHODS Between June 1, 2011, and June 15, 2015, we conducted a randomized, double-blind, placebo-controlled trial (Effects of Psychotropic Drugs on Developing Brain-Methylphenidate) in 99 males with attention-deficit/hyperactivity disorder (according to Diagnostic and Statistical Manual of Mental Disorders, 4th Edition, criteria) from referral centers in the greater Amsterdam area in the Netherlands. The trial was registered on March 24, 2011 (identifier NL34509.000.10) and subsequently at the Netherlands National Trial Register (identifier NTR3103). Participants (first enrolled October 13, 2011) were 10-12 years or 23-40 years of age and randomized to treatment with either methylphenidate or a placebo for 16 weeks. Our main outcome was a change in cortical thickness in predefined ROIs as measured by MR imaging pre- and posttreatment. RESULTS We observed a time × medication × age interaction (F[1,88.825] = 4.316, P < .05) for the right medial cortex ROI, where methylphenidate treatment yielded less cortical thinning in children, but not in adults or the placebo groups. CONCLUSIONS Our finding that the effects of methylphenidate on right medial cortical thickness differ between children and adults infers that the drug affects gray matter development in this brain region. This warrants replication in larger groups with longer follow-up to determine whether this effect can also be observed in other cortical brain regions and whether it may have long-term consequences.
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Affiliation(s)
- K B Walhovd
- From the Department of Psychology (K.B.W., I.A., D.A.R., A.B., A.M.F.), Center for Lifespan Changes in Brain and Cognition.,Departments of Radiology and Nuclear Medicine (K.B.W., A.M.F.)
| | - I Amlien
- From the Department of Psychology (K.B.W., I.A., D.A.R., A.B., A.M.F.), Center for Lifespan Changes in Brain and Cognition
| | - A Schrantee
- Department of Radiology and Nuclear Medicine (A.S., A.B., L.R.), Amsterdam UMC, Academic Medical Center, Amsterdam, the Netherlands
| | - D A Rohani
- From the Department of Psychology (K.B.W., I.A., D.A.R., A.B., A.M.F.), Center for Lifespan Changes in Brain and Cognition
| | - I Groote
- Diagnostic Physics (I.G., A.B.), Oslo University Hospital, Oslo, Norway
| | - A Bjørnerud
- From the Department of Psychology (K.B.W., I.A., D.A.R., A.B., A.M.F.), Center for Lifespan Changes in Brain and Cognition.,Institute of Physics (A.B.), Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway.,Diagnostic Physics (I.G., A.B.), Oslo University Hospital, Oslo, Norway.,Department of Radiology and Nuclear Medicine (A.S., A.B., L.R.), Amsterdam UMC, Academic Medical Center, Amsterdam, the Netherlands
| | - A M Fjell
- From the Department of Psychology (K.B.W., I.A., D.A.R., A.B., A.M.F.), Center for Lifespan Changes in Brain and Cognition.,Departments of Radiology and Nuclear Medicine (K.B.W., A.M.F.)
| | - L Reneman
- Department of Radiology and Nuclear Medicine (A.S., A.B., L.R.), Amsterdam UMC, Academic Medical Center, Amsterdam, the Netherlands.
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13
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Oliver LD, Stewart C, Coleman K, Kryklywy JH, Bartha R, Mitchell DGV, Finger EC. Neural effects of oxytocin and mimicry in frontotemporal dementia: A randomized crossover study. Neurology 2020; 95:e2635-e2647. [PMID: 32963103 DOI: 10.1212/wnl.0000000000010933] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 07/14/2020] [Indexed: 01/14/2023] Open
Abstract
OBJECTIVE To determine whether intranasal oxytocin, alone or in combination with instructed mimicry of facial expressions, would augment neural activity in patients with frontotemporal dementia (FTD) in brain regions associated with empathy, emotion processing, and the simulation network, as indexed by blood oxygen-level dependent (BOLD) signal during fMRI. METHODS In a placebo-controlled, randomized crossover design, 28 patients with FTD received 72 IU intranasal oxytocin or placebo and then completed an fMRI facial expression mimicry task. RESULTS Oxytocin alone and in combination with instructed mimicry increased activity in regions of the simulation network and in limbic regions associated with emotional expression processing. CONCLUSIONS The findings demonstrate latent capacity to augment neural activity in affected limbic and other frontal and temporal regions during social cognition in patients with FTD, and support the promise and need for further investigation of these interventions as therapeutics in FTD. CLINICALTRIALSGOV IDENTIFIER NCT01937013. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that a single dose of 72 IU intranasal oxytocin augments BOLD signal in patients with FTD during viewing of emotional facial expressions.
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Affiliation(s)
- Lindsay D Oliver
- From the Graduate Program in Neuroscience (L.D.O., C.S., J.H.K.) and Department of Clinical Neurological Sciences (E.C.F.), Schulich School of Medicine and Dentistry, Robarts Research Institute (R.B., E.C.F.), and Brain and Mind Institute (D.G.V.M.), Department of Psychiatry and Department of Anatomy and Cell Biology, Western University, London; Campbell Family Mental Health Research Institute (L.D.O.), Centre for Addiction and Mental Health, Toronto; Parkwood Institute Research (K.C., E.C.F.), London, Ontario; and Department of Psychology (J.H.K.), University of British Columbia, Vancouver, Canada
| | - Chloe Stewart
- From the Graduate Program in Neuroscience (L.D.O., C.S., J.H.K.) and Department of Clinical Neurological Sciences (E.C.F.), Schulich School of Medicine and Dentistry, Robarts Research Institute (R.B., E.C.F.), and Brain and Mind Institute (D.G.V.M.), Department of Psychiatry and Department of Anatomy and Cell Biology, Western University, London; Campbell Family Mental Health Research Institute (L.D.O.), Centre for Addiction and Mental Health, Toronto; Parkwood Institute Research (K.C., E.C.F.), London, Ontario; and Department of Psychology (J.H.K.), University of British Columbia, Vancouver, Canada
| | - Kristy Coleman
- From the Graduate Program in Neuroscience (L.D.O., C.S., J.H.K.) and Department of Clinical Neurological Sciences (E.C.F.), Schulich School of Medicine and Dentistry, Robarts Research Institute (R.B., E.C.F.), and Brain and Mind Institute (D.G.V.M.), Department of Psychiatry and Department of Anatomy and Cell Biology, Western University, London; Campbell Family Mental Health Research Institute (L.D.O.), Centre for Addiction and Mental Health, Toronto; Parkwood Institute Research (K.C., E.C.F.), London, Ontario; and Department of Psychology (J.H.K.), University of British Columbia, Vancouver, Canada
| | - James H Kryklywy
- From the Graduate Program in Neuroscience (L.D.O., C.S., J.H.K.) and Department of Clinical Neurological Sciences (E.C.F.), Schulich School of Medicine and Dentistry, Robarts Research Institute (R.B., E.C.F.), and Brain and Mind Institute (D.G.V.M.), Department of Psychiatry and Department of Anatomy and Cell Biology, Western University, London; Campbell Family Mental Health Research Institute (L.D.O.), Centre for Addiction and Mental Health, Toronto; Parkwood Institute Research (K.C., E.C.F.), London, Ontario; and Department of Psychology (J.H.K.), University of British Columbia, Vancouver, Canada
| | - Robert Bartha
- From the Graduate Program in Neuroscience (L.D.O., C.S., J.H.K.) and Department of Clinical Neurological Sciences (E.C.F.), Schulich School of Medicine and Dentistry, Robarts Research Institute (R.B., E.C.F.), and Brain and Mind Institute (D.G.V.M.), Department of Psychiatry and Department of Anatomy and Cell Biology, Western University, London; Campbell Family Mental Health Research Institute (L.D.O.), Centre for Addiction and Mental Health, Toronto; Parkwood Institute Research (K.C., E.C.F.), London, Ontario; and Department of Psychology (J.H.K.), University of British Columbia, Vancouver, Canada
| | - Derek G V Mitchell
- From the Graduate Program in Neuroscience (L.D.O., C.S., J.H.K.) and Department of Clinical Neurological Sciences (E.C.F.), Schulich School of Medicine and Dentistry, Robarts Research Institute (R.B., E.C.F.), and Brain and Mind Institute (D.G.V.M.), Department of Psychiatry and Department of Anatomy and Cell Biology, Western University, London; Campbell Family Mental Health Research Institute (L.D.O.), Centre for Addiction and Mental Health, Toronto; Parkwood Institute Research (K.C., E.C.F.), London, Ontario; and Department of Psychology (J.H.K.), University of British Columbia, Vancouver, Canada
| | - Elizabeth C Finger
- From the Graduate Program in Neuroscience (L.D.O., C.S., J.H.K.) and Department of Clinical Neurological Sciences (E.C.F.), Schulich School of Medicine and Dentistry, Robarts Research Institute (R.B., E.C.F.), and Brain and Mind Institute (D.G.V.M.), Department of Psychiatry and Department of Anatomy and Cell Biology, Western University, London; Campbell Family Mental Health Research Institute (L.D.O.), Centre for Addiction and Mental Health, Toronto; Parkwood Institute Research (K.C., E.C.F.), London, Ontario; and Department of Psychology (J.H.K.), University of British Columbia, Vancouver, Canada.
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14
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Boylan MA, Foster CM, Pongpipat EE, Webb CE, Rodrigue KM, Kennedy KM. Greater BOLD Variability is Associated With Poorer Cognitive Function in an Adult Lifespan Sample. Cereb Cortex 2020; 31:562-574. [PMID: 32915200 PMCID: PMC7727366 DOI: 10.1093/cercor/bhaa243] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 07/27/2020] [Accepted: 08/01/2020] [Indexed: 12/01/2022] Open
Abstract
Moment-to-moment fluctuations in brain signal assessed by functional magnetic resonance imaging blood oxygenation level dependent (BOLD) variability is increasingly thought to represent important “signal” rather than measurement-related “noise.” Efforts to characterize BOLD variability in healthy aging have yielded mixed outcomes, demonstrating both age-related increases and decreases in BOLD variability and both detrimental and beneficial associations. Utilizing BOLD mean-squared-successive-differences (MSSD) during a digit n-back working memory (WM) task in a sample of healthy adults (aged 20–94 years; n = 171), we examined effects of aging on whole-brain 1) BOLD variability during task (mean condition MSSD across 0–2–3-4 back conditions), 2) BOLD variability modulation to incrementally increasing WM difficulty (linear slope from 0–2–3-4 back), and 3) the association of age-related differences in variability with in- and out-of-scanner WM performance. Widespread cortical and subcortical regions evidenced increased mean variability with increasing age, with no regions evidencing age-related decrease in variability. Additionally, posterior cingulate/precuneus exhibited increased variability to WM difficulty. Notably, both age-related increases in BOLD variability were associated with significantly poorer WM performance in all but the oldest adults. These findings lend support to the growing corpus suggesting that brain-signal variability is altered in healthy aging; specifically, in this adult lifespan sample, BOLD-variability increased with age and was detrimental to cognitive performance.
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Affiliation(s)
- Maria A Boylan
- Center for Vital Longevity, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX 75235, USA
| | - Chris M Foster
- Center for Vital Longevity, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX 75235, USA
| | - Ekarin E Pongpipat
- Center for Vital Longevity, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX 75235, USA
| | - Christina E Webb
- Center for Vital Longevity, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX 75235, USA
| | - Karen M Rodrigue
- Center for Vital Longevity, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX 75235, USA
| | - Kristen M Kennedy
- Center for Vital Longevity, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX 75235, USA
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15
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Li Q, Dong C, Liu T, Chen X, Perry A, Jiang J, Cheng J, Niu H, Kochan NA, Brodaty H, Sachdev PS, Wen W. Longitudinal Changes in Whole-Brain Functional Connectivity Strength Patterns and the Relationship With the Global Cognitive Decline in Older Adults. Front Aging Neurosci 2020; 12:71. [PMID: 32256339 PMCID: PMC7090100 DOI: 10.3389/fnagi.2020.00071] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2019] [Accepted: 02/26/2020] [Indexed: 12/12/2022] Open
Abstract
Aging is associated with changes in brain functional patterns as well as cognition. The present research sought to investigate longitudinal changes in whole brain functional connectivity strength (FCS) and cognitive performance scores in very old cognitively unimpaired individuals. We studied 34 cognitively normal elderly individuals at both baseline and 4-year follow-up (baseline age = 78 ± 3.14 years) with resting-state functional magnetic resonance imaging (r-fMRI), structural MRI scans, and neuropsychological assessments conducted. Voxel-based whole brain FCS was calculated and we found that bilateral superior parietal and medial frontal regions showed decreased FCS, while the supplementary motor area (SMA) and insula showed increased FCS with age, along with a decrease in bilateral prefrontal cortical thickness. The changes of FCS in left precuneus were associated with an aging-related decline in global cognition. Taken together, our results suggest changes in FCS with aging with the precuneus as a hub and this may underlie changes in global cognition that accompany aging. These findings help better understand the normal aging mechanism.
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Affiliation(s)
- Qiongge Li
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Chao Dong
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China.,Centre for Healthy Brain Aging, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Tao Liu
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China.,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China.,Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China
| | - Xiaodan Chen
- National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
| | - Alistair Perry
- Max Planck UCL Centre for Computational Psychiatry and Aging Research, Berlin, Germany
| | - Jiyang Jiang
- Centre for Healthy Brain Aging, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Jian Cheng
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China
| | - Haijun Niu
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China.,Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China
| | - Nicole A Kochan
- Centre for Healthy Brain Aging, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia.,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Henry Brodaty
- Centre for Healthy Brain Aging, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia.,Dementia Centre for Research Collaboration, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Perminder S Sachdev
- Centre for Healthy Brain Aging, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia.,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia.,Dementia Centre for Research Collaboration, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Wei Wen
- Centre for Healthy Brain Aging, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia.,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
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