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Rominger C, Koschutnig K, Fink A, Perchtold-Stefan CM. MRI resting-state signature of the propensity to experience meaningful coincidences: a functional coupling analysis. Cereb Cortex 2024; 34:bhae269. [PMID: 38984703 PMCID: PMC11234293 DOI: 10.1093/cercor/bhae269] [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: 03/29/2024] [Revised: 06/06/2024] [Accepted: 06/15/2024] [Indexed: 07/11/2024] Open
Abstract
The propensity to experience meaningful patterns in random arrangements and unrelated events shows considerable interindividual differences. Reduced inhibitory control (over sensory processes) and decreased working memory capacities are associated with this trait, which implies that the activation of frontal as well as posterior brain regions may be altered during rest and working memory tasks. In addition, people experiencing more meaningful coincidences showed reduced gray matter of the left inferior frontal gyrus (IFG), which is linked to the inhibition of irrelevant information in working memory and the control and integration of multisensory information. To study deviations in the functional connectivity of the IFG with posterior associative areas, the present study investigated the fMRI resting state in a large sample of n = 101 participants. We applied seed-to-voxel analysis and found that people who perceive more meaningful coincidences showed negative functional connectivity of the left IFG (i.e. pars triangularis) with areas of the left posterior associative cortex (e.g. superior parietal cortex). A data-driven multivoxel pattern analysis further indicated that functional connectivity of a cluster located in the right cerebellum with a cluster including parts of the left middle frontal gyrus, left precentral gyrus, and the left IFG (pars opercularis) was associated with meaningful coincidences. These findings add evidence to the neurocognitive foundations of the propensity to experience meaningful coincidences, which strengthens the idea that deviations of working memory functions and inhibition of sensory and motor information explain why people experience more meaning in meaningless noise.
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Affiliation(s)
| | - Karl Koschutnig
- Institute of Psychology, University of Graz, Universitätsplatz 2/III, A-8010 Graz, Austria
| | - Andreas Fink
- Institute of Psychology, University of Graz, Universitätsplatz 2/III, A-8010 Graz, Austria
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Dhanik K, Pandey HR, Mishra M, Keshri A, Kumar U. Neural adaptations to congenital deafness: enhanced tactile discrimination through cross-modal neural plasticity - an fMRI study. Neurol Sci 2024:10.1007/s10072-024-07615-4. [PMID: 38797764 DOI: 10.1007/s10072-024-07615-4] [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: 02/15/2024] [Accepted: 05/22/2024] [Indexed: 05/29/2024]
Abstract
BACKGROUND This study explores the compensatory neural mechanisms associated with congenital deafness through an examination of tactile discrimination abilities using high-resolution functional magnetic resonance imaging (fMRI). OBJECTIVE To analyze the neural substrates underlying tactile processing in congenitally deaf individuals and compare them with hearing controls. METHODS Our participant pool included thirty-five congenitally deaf individuals and thirty-five hearing controls. All participants engaged in tactile discrimination tasks involving the identification of common objects by touch. We utilized an analytical suite comprising voxel-based statistics, functional connectivity multivariate/voxel pattern analysis (fc-MVPA), and seed-based connectivity analysis to examine neural activity. RESULTS Our findings revealed pronounced neural activity in congenitally deaf participants within regions typically associated with auditory processing, including the bilateral superior temporal gyrus, right middle temporal gyrus, and right rolandic operculum. Additionally, unique activation and connectivity patterns were observed in the right insula and bilateral supramarginal gyrus, indicating a strategic reorganization of neural pathways for tactile information processing. Behaviorally, both groups demonstrated high accuracy in the tactile tasks, exceeding 90%. However, the deaf participants outperformed their hearing counterparts in reaction times, showcasing significantly enhanced efficiency in tactile information processing. CONCLUSION These insights into the brain's adaptability to sensory loss through compensatory neural reorganization highlight the intricate mechanisms by which tactile discrimination is enhanced in the absence of auditory input. Understanding these adaptations can help develop strategies to harness the brain's plasticity to improve sensory processing in individuals with sensory impairments, ultimately enhancing their quality of life through improved tactile perception and sensory integration.
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Affiliation(s)
- Kalpana Dhanik
- Centre of Bio-Medical Research, Sanjay Gandhi Postgraduate Institute of Medical Sciences Campus, Lucknow, Uttar Pradesh, 226014, India
| | - Himanshu R Pandey
- Centre of Bio-Medical Research, Sanjay Gandhi Postgraduate Institute of Medical Sciences Campus, Lucknow, Uttar Pradesh, 226014, India
| | - Mrutyunjaya Mishra
- Department of Special Education (Hearing Impairments), Dr. Shakuntala Misra National Rehabilitation University, Lucknow, India
| | - Amit Keshri
- Department of Neuro-otology, Sanjay Gandhi Postgraduate Institute of Medical Sciences Campus, Lucknow, India
| | - Uttam Kumar
- Centre of Bio-Medical Research, Sanjay Gandhi Postgraduate Institute of Medical Sciences Campus, Lucknow, Uttar Pradesh, 226014, India.
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Cline TL, Morfini F, Tinney E, Makarewycz E, Lloyd K, Olafsson V, Bauer CC, Kramer AF, Raine LB, Gabard-Durnam LJ, Whitfield-Gabrieli S, Hillman CH. Resting-State Functional Connectivity Change in Frontoparietal and Default Mode Networks After Acute Exercise in Youth. Brain Plast 2024; 9:5-20. [PMID: 39081665 PMCID: PMC11234706 DOI: 10.3233/bpl-240003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/29/2024] [Indexed: 08/02/2024] Open
Abstract
BACKGROUND A single bout of aerobic exercise can provide acute benefits to cognition and emotion in children. Yet, little is known about how acute exercise may impact children's underlying brain networks' resting-state functional connectivity (rsFC). OBJECTIVE Using a data-driven multivariate pattern analysis, we investigated the effects of a single dose of exercise on acute rsFC changes in 9-to-13-year-olds. METHODS On separate days in a crossover design, participants (N = 21) completed 20-mins of acute treadmill walking at 65-75% heart rate maximum (exercise condition) and seated reading (control condition), with pre- and post-fMRI scans. Multivariate pattern analysis was used to investigate rsFC change between conditions. RESULTS Three clusters in the left lateral prefrontal cortex (lPFC) of the frontoparietal network (FPN) had significantly different rsFC after the exercise condition compared to the control condition. Post-hoc analyses revealed that from before to after acute exercise, activity of these FPN clusters became more correlated with bilateral lPFC and the left basal ganglia. Additionally, the left lPFC became more anti-correlated with the precuneus of the default mode network (DMN). An opposite pattern was observed from before to after seated reading. CONCLUSIONS The findings suggest that a single dose of exercise increases connectivity within the FPN, FPN integration with subcortical regions involved in movement and cognition, and segregation of FPN and DMN. Such patterns, often associated with healthier cognitive and emotional control, may underlie the transient mental benefits observed following acute exercise in youth.
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Affiliation(s)
- Trevor L. Cline
- Department of Psychology, Northeastern University, Boston, MA, USA
- Center for Cognitive & Brain Health, Northeastern University, Boston, MA
| | - Francesca Morfini
- Department of Psychology, Northeastern University, Boston, MA, USA
- Center for Cognitive & Brain Health, Northeastern University, Boston, MA
| | - Emma Tinney
- Department of Psychology, Northeastern University, Boston, MA, USA
- Center for Cognitive & Brain Health, Northeastern University, Boston, MA
| | - Ethan Makarewycz
- Department of Psychology, Northeastern University, Boston, MA, USA
| | - Katherine Lloyd
- Department of Psychology, Northeastern University, Boston, MA, USA
| | - Valur Olafsson
- Northeastern University Biomedical Imaging Center, Northeastern University, Boston, MA, USA
| | - Clemens C.C. Bauer
- Department of Psychology, Northeastern University, Boston, MA, USA
- Center for Cognitive & Brain Health, Northeastern University, Boston, MA
- Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Arthur F. Kramer
- Department of Psychology, Northeastern University, Boston, MA, USA
- Center for Cognitive & Brain Health, Northeastern University, Boston, MA
- Beckman Institute for Advanced Science & Technology, University of Illinois, Urbana, Il, USA
| | - Lauren B. Raine
- Department of Psychology, Northeastern University, Boston, MA, USA
- Center for Cognitive & Brain Health, Northeastern University, Boston, MA
- Department of Physical Therapy, Movement & Rehabilitation Sciences, Northeastern University, Boston, MA, USA
| | - Laurel J. Gabard-Durnam
- Department of Psychology, Northeastern University, Boston, MA, USA
- Center for Cognitive & Brain Health, Northeastern University, Boston, MA
| | - Susan Whitfield-Gabrieli
- Department of Psychology, Northeastern University, Boston, MA, USA
- Center for Cognitive & Brain Health, Northeastern University, Boston, MA
- Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Charles H. Hillman
- Department of Psychology, Northeastern University, Boston, MA, USA
- Center for Cognitive & Brain Health, Northeastern University, Boston, MA
- Department of Physical Therapy, Movement & Rehabilitation Sciences, Northeastern University, Boston, MA, USA
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Qu G, Shu L, Liu H, Ma S, Han T, Zhang H, Huang C, Wang J, Yang L, Sun Y. Association Between Adverse Childhood Experiences and Academic Performance Among Children and Adolescents: A Global Meta-Analysis. TRAUMA, VIOLENCE & ABUSE 2024:15248380241246758. [PMID: 38651820 DOI: 10.1177/15248380241246758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
This study was conducted to quantify the association of adverse childhood experiences (ACEs) and the academic performance of children and adolescents. The literature was systematically searched in six electronic databases, and a meta-analysis was conducted. Twenty studies with a total of 1,196,631 children and adolescents from five countries were included. Meta-analysis showed that ACE score was positively associated with poor academic achievement, grade repetition, and special education support. Compared with children and adolescents without any ACE, those with one or more ACE had a significantly higher risk of poor academic achievement (pooled odds ratio [OR]: 1.45, 95% confidence interval [CI] [1.13, 1.85], I2 = 82.6%) and grade repetition (pooled OR: 1.36, 95% CI [1.29, 1.43], I2 = 71.0%). Moreover, all types of ACEs were positively associated with poor academic achievement and grade repetition. In addition, there was a significant dose-response relationship between the ACE score and the risk of poor academic achievement. This study supported that ACE had a significant impact on the academic performance of children and adolescents. Based on these findings, we recommend that early screening of ACEs for children and adolescent is critical and appropriate support and prevention in education should be developed for those with ACEs. Further studies are needed to further explore the long-term effect of ACEs on education and its gender differences.
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Affiliation(s)
| | - Liqin Shu
- Anhui Province Maternity and Child Health Hospital (Affiliated Maternity and Child Health Hospital of Anhui Medical University), Hefei, China
| | | | - Shaodi Ma
- Anhui Medical University, Hefei, China
| | | | | | - Christy Huang
- Touro University Nevada College of Osteopathic Medicine, Henderson, USA
| | - Jun Wang
- Anhui Medical University, Hefei, China
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Marks RA, Pollack C, Meisler SL, D'Mello AM, Centanni TM, Romeo RR, Wade K, Matejko AA, Ansari D, Gabrieli JDE, Christodoulou JA. Neurocognitive mechanisms of co-occurring math difficulties in dyslexia: Differences in executive function and visuospatial processing. Dev Sci 2024; 27:e13443. [PMID: 37675857 PMCID: PMC10918042 DOI: 10.1111/desc.13443] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 08/02/2023] [Accepted: 08/14/2023] [Indexed: 09/08/2023]
Abstract
Children with dyslexia frequently also struggle with math. However, studies of reading disability (RD) rarely assess math skill, and the neurocognitive mechanisms underlying co-occurring reading and math disability (RD+MD) are not clear. The current study aimed to identify behavioral and neurocognitive factors associated with co-occurring MD among 86 children with RD. Within this sample, 43% had co-occurring RD+MD and 22% demonstrated a possible vulnerability in math, while 35% had no math difficulties (RD-Only). We investigated whether RD-Only and RD+MD students differed behaviorally in their phonological awareness, reading skills, or executive functions, as well as in the brain mechanisms underlying word reading and visuospatial working memory using functional magnetic resonance imaging (fMRI). The RD+MD group did not differ from RD-Only on behavioral or brain measures of phonological awareness related to speech or print. However, the RD+MD group demonstrated significantly worse working memory and processing speed performance than the RD-Only group. The RD+MD group also exhibited reduced brain activations for visuospatial working memory relative to RD-Only. Exploratory brain-behavior correlations along a broad spectrum of math ability revealed that stronger math skills were associated with greater activation in bilateral visual cortex. These converging neuro-behavioral findings suggest that poor executive functions in general, including differences in visuospatial working memory, are specifically associated with co-occurring MD in the context of RD. RESEARCH HIGHLIGHTS: Children with reading disabilities (RD) frequently have a co-occurring math disability (MD), but the mechanisms behind this high comorbidity are not well understood. We examined differences in phonological awareness, reading skills, and executive function between children with RD only versus co-occurring RD+MD using behavioral and fMRI measures. Children with RD only versus RD+MD did not differ in their phonological processing, either behaviorally or in the brain. RD+MD was associated with additional behavioral difficulties in working memory, and reduced visual cortex activation during a visuospatial working memory task.
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Affiliation(s)
- Rebecca A Marks
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Communication Sciences and Disorders, MGH Institute of Health Professions, Boston, Massachusetts, USA
| | - Courtney Pollack
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Steven L Meisler
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Program in Speech and Hearing Bioscience and Technology, Harvard University, Cambridge, Massachusetts, USA
| | - Anila M D'Mello
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Department of Psychology, University of Texas at Dallas, Richardson, Texas, USA
| | - Tracy M Centanni
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Psychology, Texas Christian University, Fort Worth, Texas, USA
| | - Rachel R Romeo
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Human Development and Quantitative Methodology, University of Maryland College Park, College Park, Maryland, USA
| | - Karolina Wade
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Anna A Matejko
- Department of Psychology, University of Western Ontario, London, Ontario, Canada
- Brain and Mind Institute, University of Western Ontario, London, Ontario, Canada
- Department of Psychology, Durham University, Durham, UK
| | - Daniel Ansari
- Department of Psychology, University of Western Ontario, London, Ontario, Canada
- Brain and Mind Institute, University of Western Ontario, London, Ontario, Canada
| | - John D E Gabrieli
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Joanna A Christodoulou
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Communication Sciences and Disorders, MGH Institute of Health Professions, Boston, Massachusetts, USA
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Kim HE, Kim JJ, Seok JH, Park JY, Oh J. Resting-state functional connectivity and cognitive performance in aging adults with cognitive decline: A data-driven multivariate pattern analysis. Compr Psychiatry 2024; 129:152445. [PMID: 38154288 DOI: 10.1016/j.comppsych.2023.152445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 11/23/2023] [Accepted: 12/14/2023] [Indexed: 12/30/2023] Open
Abstract
BACKGROUND Cognitive impairments occur on a continuous spectrum in multiple cognitive domains showing individual variability of the deteriorating patterns; however, often, cognitive domains are studied separately. METHODS The present study investigated aging individual variations of cognitive abilities and related resting-state functional connectivity (rsFC) using data-driven approach. Cognitive and neuroimaging data were obtained from 62 elderly outpatients with cognitive decline. Principal component analysis (PCA) was conducted on the cognitive data to determine patterns of cognitive performance, then data-driven whole-brain connectome multivariate pattern analysis (MVPA) was applied on the neuroimaging data to discover neural regions associated with the cognitive characteristic. RESULTS The first component (PC1) delineated an overall decline in all domains of cognition, and the second component (PC2) represented a compensatory relationship within basic cognitive functions. MVPA indicated rsFC of the cerebellum lobule VIII and insula with the default-mode network, frontoparietal network, and salience network inversely correlated with PC1 scores. Additionally, PC2 score was related to rsFC patterns with temporal pole and occipital cortex. CONCLUSIONS The featured primary cognitive characteristic depicted the importance of the cerebellum and insula connectivity patterns in of the general cognitive decline. The findings also discovered a secondary characteristic that communicated impaired interactions within the basic cognitive function, which was independent from the impairment severity.
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Affiliation(s)
- Hesun Erin Kim
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jae-Jin Kim
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jeong-Ho Seok
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jin Young Park
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Psychiatry, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Gyeonggi-do, Republic of Korea
| | - Jooyoung Oh
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
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7
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Tsuchiyagaito A, Sánchez SM, Misaki M, Kuplicki R, Park H, Paulus MP, Guinjoan SM. Intensity of repetitive negative thinking in depression is associated with greater functional connectivity between semantic processing and emotion regulation areas. Psychol Med 2023; 53:5488-5499. [PMID: 36043367 PMCID: PMC9973538 DOI: 10.1017/s0033291722002677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Repetitive negative thinking (RNT), a cognitive process that encompasses past (rumination) and future (worry) directed thoughts focusing on negative experiences and the self, is a transdiagnostic construct that is especially relevant for major depressive disorder (MDD). Severe RNT often occurs in individuals with severe levels of MDD, which makes it challenging to disambiguate the neural circuitry underlying RNT from depression severity. METHODS We used a propensity score, i.e., a conditional probability of having high RNT given observed covariates to match high and low RNT individuals who are similar in the severity of depression, anxiety, and demographic characteristics. Of 148 MDD individuals, we matched high and low RNT groups (n = 50/group) and used a data-driven whole-brain voxel-to-voxel connectivity pattern analysis to investigate the resting-state functional connectivity differences between the groups. RESULTS There was an association between RNT and connectivity in the bilateral superior temporal sulcus (STS), an important region for speech processing including inner speech. High relative to low RNT individuals showed greater connectivity between right STS and bilateral anterior insular cortex (AI), and between bilateral STS and left dorsolateral prefrontal cortex (DLPFC). Greater connectivity in those regions was specifically related to RNT but not to depression severity. CONCLUSIONS RNT intensity is directly related to connectivity between STS and AI/DLPFC. This might be a mechanism underlying the role of RNT in perceptive, cognitive, speech, and emotional processing. Future investigations will need to determine whether modifying these connectivities could be a treatment target to reduce RNT.
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Affiliation(s)
- Aki Tsuchiyagaito
- Laureate Institute for Brain Research, Tulsa, OK, USA
- The University of Tulsa, Tulsa, OK, USA
- Chiba University, Chiba, Japan
| | | | - Masaya Misaki
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | | | - Heekyong Park
- Laureate Institute for Brain Research, Tulsa, OK, USA
- University of North Texas at Dallas, Dallas, TX, USA
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Assouline A, Mendelsohn A. Weaving a story: Narrative formation over prolonged time scales engages social cognition and frontoparietal networks. Eur J Neurosci 2023; 57:809-823. [PMID: 36617430 DOI: 10.1111/ejn.15909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 12/10/2022] [Accepted: 01/06/2023] [Indexed: 01/10/2023]
Abstract
Forming narratives is of key importance to human experience, enabling one to render large amounts of information into relatively compacted stories for future retrieval, giving meaning to otherwise fragmented occurrences. The neural mechanisms that underlie coherent narrative construction of causally connected information over prolonged temporal periods are yet unclear. Participants in this fMRI study observed consecutive scenes from a full-length movie either in their original order, enabling causal inferences over time, or in reverse order, impeding a key component of coherent narratives-causal inference. In between scenes, we presented short periods of blank screens for examining post-encoding processing effects. Using multivariate pattern analysis (MVPA) followed by seed-base correlation analysis, we hypothesized that networks involved in online monitoring of incoming information on the one hand, and offline processing of previous occurrences on the other would differ between the groups. We found that despite the exposure to the same scenes, the chronological-order condition exhibited enhanced functional connectivity in frontoparietal regions associated with information integration and working memory. The reverse-order condition yielded offline, post-scene coactivation of neural networks involved in social cognition and particularly theory of mind and action comprehension. These findings shed light on offline processes of narrative construction efforts, highlighting the role of social cognition networks in seeking for narrative coherence.
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Affiliation(s)
- Amir Assouline
- Sagol Department of Neurobiology, University of Haifa, Haifa, Israel.,The Institute of Information Processing and Decision Making (IIPDM), University of Haifa, Haifa, Israel
| | - Avi Mendelsohn
- Sagol Department of Neurobiology, University of Haifa, Haifa, Israel.,The Institute of Information Processing and Decision Making (IIPDM), University of Haifa, Haifa, Israel
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Wilkey ED, Gupta I, Peiris A, Ansari D. The mathematical brain at rest. Curr Opin Behav Sci 2023. [DOI: 10.1016/j.cobeha.2022.101246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
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10
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Nieto-Castanon A. Brain-wide connectome inferences using functional connectivity MultiVariate Pattern Analyses (fc-MVPA). PLoS Comput Biol 2022; 18:e1010634. [PMID: 36378714 PMCID: PMC9707802 DOI: 10.1371/journal.pcbi.1010634] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 11/29/2022] [Accepted: 10/04/2022] [Indexed: 11/16/2022] Open
Abstract
Current functional Magnetic Resonance Imaging technology is able to resolve billions of individual functional connections characterizing the human connectome. Classical statistical inferential procedures attempting to make valid inferences across this many measures from a reduced set of observations and from a limited number of subjects can be severely underpowered for any but the largest effect sizes. This manuscript discusses fc-MVPA (functional connectivity Multivariate Pattern Analysis), a novel method using multivariate pattern analysis techniques in the context of brain-wide connectome inferences. The theory behind fc-MVPA is presented, and several of its key concepts are illustrated through examples from a publicly available resting state dataset, including an analysis of gender differences across the entire functional connectome. Finally, Monte Carlo simulations are used to demonstrate the validity and sensitivity of this method. In addition to offering powerful whole-brain inferences, fc-MVPA also provides a meaningful characterization of the heterogeneity in functional connectivity across subjects. The human connectome comprises billions of functional connections between distant brain areas. In recent years, analyses of functional Magnetic Resonance Imaging (fMRI) data have provided large amounts of information exploring the differences in the human connectome across individuals, developmental trajectories, or mental states. However, scientists’ ability to derive strong conclusions from the analysis of these data are often hindered by the sheer number of connections analyzed, where only connections that show exceptionally large effects are able to stand out against that vast background. This leads to results that tend to overemphasize similarities and mask out differences that are either weaker or distributed across multiple individual connections, potentially misleading conceptual models of the human connectome. This manuscript discusses a novel method for the analysis of the human connectome (functional connectivity Multivariate Pattern Analysis) that addresses these limitations and enables strong conclusions from fMRI data by combining classical statistics with modern pattern analysis techniques. This technique is exemplified using a publicly available database of resting state data to characterize some of the main aspects of the human connectome that differ across individuals, and to identify specific differences in the human connectome across gender.
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Affiliation(s)
- Alfonso Nieto-Castanon
- Department of Speech, Language, and Hearing Sciences, Boston University, Boston, Massachusetts, United States of America
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
- * E-mail:
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Langan MT, Kirkland AE, Rice LC, Mucciarone VC, Baraniuk J, VanMeter A, Holton KF. Low glutamate diet improves working memory and contributes to altering BOLD response and functional connectivity within working memory networks in Gulf War Illness. Sci Rep 2022; 12:18004. [PMID: 36289291 PMCID: PMC9606252 DOI: 10.1038/s41598-022-21837-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 10/04/2022] [Indexed: 01/24/2023] Open
Abstract
Gulf War Illness is a chronic multi-symptom disorder with severe cognitive impairments which may be related to glutamate excitotoxicity and central nervous system dysfunction. The low glutamate diet has been proposed as a comprehensive intervention for Gulf War Illness. We examined the effects of the low glutamate diet on verbal working memory using a fMRI N-back task. Accuracy, whole-brain blood oxygen level dependency (BOLD) response, and task-based functional connectivity were assessed at baseline and after 1 month on the diet (N = 24). Multi-voxel pattern analysis identified regions of whole-brain BOLD pattern differences after the diet to be used as seeds for subsequent seed-to-voxel functional connectivity analyses. Verbal working memory accuracy improved after the diet (+ 13%; p = 0.006). Whole-brain BOLD signal changes were observed, revealing lower activation within regions of the frontoparietal network and default mode network after the low glutamate diet. Multi-voxel pattern analysis resulted in 3 clusters comprising parts of the frontoparietal network (clusters 1 and 2) and ventral attention network (cluster 3). The seed-to-voxel analyses identified significant functional connectivity changes post-diet for clusters 1 and 2 (peak p < 0.001, cluster FDR p < 0.05). Relative to baseline, clusters 1 and 2 had decreased functional connectivity with regions in the ventral attention and somatomotor networks. Cluster 2 also had increased functional connectivity with regions of the default mode and frontoparietal networks. These findings suggest that among veterans with Gulf War Illness, the low glutamate diet improves verbal working memory accuracy, alters BOLD response, and alters functional connectivity within two networks central to working memory.
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Affiliation(s)
| | - Anna E Kirkland
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Laura C Rice
- Department of Neuroscience, American University, Washington, DC, USA
| | - Veronica C Mucciarone
- Department of Neurology, Center for Functional and Molecular Imaging, Georgetown University, Washington, DC, USA
| | - James Baraniuk
- Department of Medicine, Georgetown University, Washington, DC, USA
| | - Ashley VanMeter
- Department of Neurology, Center for Functional and Molecular Imaging, Georgetown University, Washington, DC, USA
| | - Kathleen F Holton
- Department of Neuroscience, American University, Washington, DC, USA.
- Department of Health Studies, American University, Washington, DC, USA.
- Center for Neuroscience and Behavior, American University, Washington, DC, USA.
- Nutritional Neuroscience Lab, American University, 4400 Massachusetts Ave NW, Washington, DC, 20016, USA.
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Walsh MJM, Pagni B, Monahan L, Delaney S, Smith CJ, Baxter L, Braden BB. Sex-related brain connectivity correlates of compensation in adults with autism: insights into female protection. Cereb Cortex 2022; 33:316-329. [PMID: 35212373 PMCID: PMC9837609 DOI: 10.1093/cercor/bhac069] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 01/31/2022] [Accepted: 02/01/2022] [Indexed: 01/19/2023] Open
Abstract
The male preponderance in autism spectrum disorder (ASD) led to the hypothesis that aspects of female biology are protective against ASD. Females with ASD (ASD-F) report more compensatory behaviors (i.e. "camouflaging") to overcome ASD-related social differences, which may be a mechanism of protection. No studies have examined sex-related brain pathways supporting camouflaging in ASD-F, despite its potential to inform mechanisms underlying the ASD sex bias. We used functional connectivity (FC) to investigate "sex-atypical" and "sex-typical" FC patterns linked to camouflaging in adults with ASD and examined multimodal coherence of findings via structural connectometry. Exploratory associations with cognitive/emotional functioning examined the adaptive nature of FC patterns. We found (i) "sex-atypical" FC patterns linked to camouflaging in the hypothalamus and precuneus and (ii) "sex-typical" patterns in the right anterior cingulate and anterior parahippocampus. Higher hypothalamic FC with a limbic reward cluster also correlated with better cognitive control/emotion recognition. Structural connectometry validated FC results with consistent brain pathways/effect patterns implicated in ASD-F. In summary, "male-typical" and "female-typical" brain connectivity patterns support camouflaging in ASD-F in circuits implicated in reward, emotion, and memory retrieval. "Sex-atypical" results are consistent with fetal steroidogenic/neuroinflammatory hypotheses. However, female genetics/biology may contribute to "female-typical" patterns implicated in camouflaging.
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Affiliation(s)
- Melissa J M Walsh
- College of Health Solutions, Arizona State University, Tempe, AZ 85281, USA
| | - Broc Pagni
- College of Health Solutions, Arizona State University, Tempe, AZ 85281, USA
| | - Leanna Monahan
- College of Health Solutions, Arizona State University, Tempe, AZ 85281, USA
| | - Shanna Delaney
- College of Health Solutions, Arizona State University, Tempe, AZ 85281, USA
| | | | | | - B Blair Braden
- Corresponding authors: Brittany Blair Braden, College of Health Solutions, Arizona State University, 975 S. Myrtle Ave., Tempe, AZ 85281, USA.
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Hsieh SS, Raine LB, Ortega FB, Hillman CH. The Role of Chronic Physical Activity in Alleviating the Detrimental Relationship of Childhood Obesity on Brain and Cognition. JOURNAL OF COGNITIVE ENHANCEMENT 2021. [DOI: 10.1007/s41465-021-00230-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Abstract
Childhood obesity and its negative relation with children’s brain health has become a growing health concern. Over the last decade, literature has indicated that physical activity attenuates cognitive impairment associated with obesity and excess adiposity in children. However, there is no comprehensive review that considers the extent to which these factors affect different domains of cognition. This narrative review comprehensively summarizes behavioral, neuroimaging, and neuroelectric findings associated with chronic physical activity and fitness on brain and cognition in childhood obesity. Based on the literature reviewed, increased adiposity has a demonstrated relationship with neurocognitive health via mechanisms triggered by central inflammation and insulin resistance, with the most pronounced decrements observed for cognitive domains that are prefrontal- and hippocampal-dependent. Fortunately, physical activity, especially interventions enhancing aerobic fitness and motor coordination, have demonstrated efficacy for attenuating the negative effects of obesity across different subdomains of structural and functional brain imaging, cognition, and multiple academic outcomes in children with overweight or obesity. Such mitigating effects may be accounted for by attenuated central inflammation, improved insulin sensitivity, and increased expression of neurotrophic factors. Lastly, individual differences appear to play a role in this relationship, as the manipulation of physical activity characteristics, the employment of a wide array of cognitive and academic measures, the inclusion of different adiposity measures that are sensitive to neurocognitive function, and the utilization of an inter-disciplinary approach have been found to influence the relationship between physical activity and excess adiposity on brain and cognition.
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