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Theis N, Bahuguna J, Rubin JE, Cape J, Iyengar S, Prasad KM. Diagnostically distinct resting state fMRI energy distributions: A subject-specific maximum entropy modeling study. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.23.576937. [PMID: 38328170 PMCID: PMC10849576 DOI: 10.1101/2024.01.23.576937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Objective Existing neuroimaging studies of psychotic and mood disorders have reported brain activation differences (first-order properties) and altered pairwise correlation based functional connectivity (second-order properties). However, both approaches have certain limitations that can be overcome by integrating them in a pairwise maximum entropy model (MEM) that better represents a comprehensive picture of fMRI signal patterns and provides a system-wide summary measure called energy. This study examines the applicability of individual-level MEM for psychiatry and identifies image-derived model coefficients related to model parameters. Method MEMs are fit to resting state fMRI data from each individual with schizophrenia/schizoaffective disorder, bipolar disorder, and major depression (n=132) and demographically matched healthy controls (n=132) from the UK Biobank to different subsets of the default mode network (DMN) regions. Results The model satisfactorily explained observed brain energy state occurrence probabilities across all participants, and model parameters were significantly correlated with image-derived coefficients for all groups. Within clinical groups, averaged energy level distributions were higher in schizophrenia/schizoaffective disorder but lower in bipolar disorder compared to controls for both bilateral and unilateral DMN. Major depression energy distributions were higher compared to controls only in the right hemisphere DMN. Conclusions Diagnostically distinct energy states suggest that probability distributions of temporal changes in synchronously active nodes may underlie each diagnostic entity. Subject-specific MEMs allow for factoring in the individual variations compared to traditional group-level inferences, offering an improved measure of biologically meaningful correlates of brain activity that may have potential clinical utility.
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Affiliation(s)
- Nicholas Theis
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Jyotika Bahuguna
- Department of Neuroscience, Laboratoire de Neurosciences Cognitive et Adaptive, University of Strasbourg, France
| | | | - Joshua Cape
- Department of Statistics, University of Wisconsin-Madison, WI, USA
| | - Satish Iyengar
- Department of Statistics, University of Pittsburgh, PA, USA
| | - Konasale M. Prasad
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, PA, USA
- Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA
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2
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Dunbar RIM. The origins and function of musical performance. Front Psychol 2023; 14:1257390. [PMID: 38022957 PMCID: PMC10667447 DOI: 10.3389/fpsyg.2023.1257390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 09/29/2023] [Indexed: 12/01/2023] Open
Abstract
Music is widely recognised as a human universal, yet there is no agreed explanation for its function, or why and when it evolved. I summarise experimental evidence that the primary function of musicking lies in social bonding, both at the dyadic and community levels, via the effect that performing any form of music has on the brain's endorphin system (the principal neurohormonal basis for social bonding in primates). The many other functions associated with music-making (mate choice, pleasure, coalition signalling, etc) are all better understood as derivative of this, either as secondary selection pressures or as windows of evolutionary opportunity (exaptations). If music's function is primarily as an adjunct of the social bonding mechanism (a feature it shares with laughter, feasting, storytelling and the rituals of religion), then reverse engineering the problem suggests that the capacity for music-making most likely evolved with the appearance of archaic humans. This agrees well with anatomical evidence for the capacity to sing.
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Affiliation(s)
- Robin I. M. Dunbar
- Department of Experimental Psychology, University of Oxford, Radcliffe Quarter, Oxford, United Kingdom
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3
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Hormovas J, Dadario NB, Tang SJ, Nicholas P, Dhanaraj V, Young I, Doyen S, Sughrue ME. Parcellation-Based Connectivity Model of the Judgement Core. J Pers Med 2023; 13:1384. [PMID: 37763153 PMCID: PMC10532823 DOI: 10.3390/jpm13091384] [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: 08/14/2023] [Revised: 09/12/2023] [Accepted: 09/12/2023] [Indexed: 09/29/2023] Open
Abstract
Judgement is a higher-order brain function utilized in the evaluation process of problem solving. However, heterogeneity in the task methodology based on the many definitions of judgement and its expansive and nuanced applications have prevented the identification of a unified cortical model at a level of granularity necessary for clinical translation. Forty-six task-based fMRI studies were used to generate activation-likelihood estimations (ALE) across moral, social, risky, and interpersonal judgement paradigms. Cortical parcellations overlapping these ALEs were used to delineate patterns in neurocognitive network engagement for the four judgement tasks. Moral judgement involved the bilateral superior frontal gyri, right temporal gyri, and left parietal lobe. Social judgement demonstrated a left-dominant frontoparietal network with engagement of right-sided temporal limbic regions. Moral and social judgement tasks evoked mutual engagement of the bilateral DMN. Both interpersonal and risk judgement were shown to involve a right-sided frontoparietal network with accompanying engagement of the left insular cortex, converging at the right-sided CEN. Cortical activation in normophysiological judgement function followed two separable patterns involving the large-scale neurocognitive networks. Specifically, the DMN was found to subserve judgement centered around social inferences and moral cognition, while the CEN subserved tasks involving probabilistic reasoning, risk estimation, and strategic contemplation.
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Affiliation(s)
- Jorge Hormovas
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Level 7 Prince of Wales Private Hospital, Randwick, NSW 2031, Australia; (J.H.); (V.D.)
| | - Nicholas B. Dadario
- Robert Wood Johnson Medical School, Rutgers University, 125 Paterson St., New Brunswick, NJ 08901, USA;
| | - Si Jie Tang
- School of Medicine, 21772 University of California Davis Medical Center, 2315 Stockton Blvd., Sacramento, CA 95817, USA
| | - Peter Nicholas
- Omniscient Neurotechnology, Level 10/580 George Street, Haymarket, NSW 2000, Australia; (P.N.); (I.Y.); (S.D.)
| | - Vukshitha Dhanaraj
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Level 7 Prince of Wales Private Hospital, Randwick, NSW 2031, Australia; (J.H.); (V.D.)
| | - Isabella Young
- Omniscient Neurotechnology, Level 10/580 George Street, Haymarket, NSW 2000, Australia; (P.N.); (I.Y.); (S.D.)
| | - Stephane Doyen
- Omniscient Neurotechnology, Level 10/580 George Street, Haymarket, NSW 2000, Australia; (P.N.); (I.Y.); (S.D.)
| | - Michael E. Sughrue
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Level 7 Prince of Wales Private Hospital, Randwick, NSW 2031, Australia; (J.H.); (V.D.)
- Omniscient Neurotechnology, Level 10/580 George Street, Haymarket, NSW 2000, Australia; (P.N.); (I.Y.); (S.D.)
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4
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Dadario NB, Piper K, Young IM, Sherman JH, Sughrue ME. Functional connectivity reveals different brain networks underlying the idiopathic foreign accent syndrome. Neurol Sci 2023; 44:3087-3097. [PMID: 36995471 DOI: 10.1007/s10072-023-06762-4] [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: 10/16/2022] [Accepted: 03/16/2023] [Indexed: 03/31/2023]
Abstract
Foreign accent syndrome (FAS) is characterized by new onset speech that is perceived as foreign. Available data from acquired cases suggests focal brain damage in language and sensorimotor brain networks, but little remains known about abnormal functional connectivity in idiopathic cases of FAS without structural damage. Here, connectomic analyses were completed on three patients with idiopathic FAS to investigate unique functional connectivity abnormalities underlying accent change for the first time. Machine learning (ML)-based algorithms generated personalized brain connectomes based on a validated parcellation scheme from the Human Connectome Project (HCP). Diffusion tractography was performed on each patient to rule out structural fiber damage to the language system. Resting-state-fMRI was assessed with ML-based software to examine functional connectivity between individual parcellations within language and sensorimotor networks and subcortical structures. Functional connectivity matrices were created and compared against a dataset of 200 healthy subjects to identify abnormally connected parcellations. Three female patients (28-42 years) who presented with accent changes from Australian English to Irish (n = 2) or American English to British English (n = 1) demonstrated fully intact language system structural connectivity. All patients demonstrated functional connectivity anomalies within language and sensorimotor networks in numerous left frontal regions and between subcortical structures in one patient. Few commonalities in functional connectivity anomalies were identified between all three patients, specifically 3 internal-network parcellation pairs. No common inter-network functional connectivity anomalies were identified between all patients. The current study demonstrates specific language, and sensorimotor functional connectivity abnormalities can exist and be quantitatively shown in the absence of structural damage for future study.
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Affiliation(s)
- Nicholas B Dadario
- Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Keaton Piper
- Department of Neurosurgery, University of South Florida, Tampa, FL, USA
| | | | - Jonathan H Sherman
- Department of Neurosurgery, West Virginia University, Martinsburg, WV, USA
| | - Michael E Sughrue
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Suite 3, Level 7 Barker St, Randwick, New South Wales, 2031, Australia.
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5
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Duque ACM, Cuesta TAC, Melo ADS, Maldonado IL. Right hemisphere and metaphor comprehension: A connectionist perspective. Neuropsychologia 2023; 187:108618. [PMID: 37321404 DOI: 10.1016/j.neuropsychologia.2023.108618] [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: 09/26/2022] [Revised: 04/11/2023] [Accepted: 06/10/2023] [Indexed: 06/17/2023]
Abstract
Metaphor comprehension is a cognitively complex task, with evidence pointing to the engagement of multiple cerebral areas. In addition, the involvement of the right hemisphere appears to vary with cognitive effort. Therefore, the interconnecting pathways of such distributed cortical centers should be taken into account when studying this topic. Despite this, the potential contribution of white matter fasciculi has received very little attention in the literature to date and is not mentioned in most metaphor comprehension studies. To highlight the probable implications of the right inferior fronto-occipital fasciculus, right superior longitudinal system, and callosal radiations, we bring together findings from different research fields. The aim is to describe important insights enabled by the cross-fertilization of functional neuroimaging, clinical findings, and structural connectivity.
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Affiliation(s)
- Anna Clara Mota Duque
- Programa de Pós-Graduação em Medicina e Saúde, Universidade Federal da Bahia, Salvador, Brazil; Faculdade de Medicina da Bahia, Universidade Federal da Bahia, Salvador, Brazil
| | - Taryn Ariadna Castro Cuesta
- Programa de Pós-Graduação em Medicina e Saúde, Universidade Federal da Bahia, Salvador, Brazil; Faculdade de Medicina da Bahia, Universidade Federal da Bahia, Salvador, Brazil
| | - Ailton de Souza Melo
- Programa de Pós-Graduação em Medicina e Saúde, Universidade Federal da Bahia, Salvador, Brazil; Faculdade de Medicina da Bahia, Universidade Federal da Bahia, Salvador, Brazil
| | - Igor Lima Maldonado
- Programa de Pós-Graduação em Medicina e Saúde, Universidade Federal da Bahia, Salvador, Brazil; Dep. Biomorfologia, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador, Brazil; UMR 1253, iBrain, Université de Tours, Inserm, Tours, France.
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6
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Wu Z, Hu G, Cao B, Liu X, Zhang Z, Dadario NB, Shi Q, Fan X, Tang Y, Cheng Z, Wang X, Zhang X, Hu X, Zhang J, You Y. Non-traditional cognitive brain network involvement in insulo-Sylvian gliomas: a case series study and clinical experience using Quicktome. Chin Neurosurg J 2023; 9:16. [PMID: 37231522 DOI: 10.1186/s41016-023-00325-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 04/16/2023] [Indexed: 05/27/2023] Open
Abstract
BACKGROUND Patients with insulo-Sylvian gliomas continue to present with severe morbidity in cognitive functions primarily due to neurosurgeons' lack of familiarity with non-traditional brain networks. We sought to identify the frequency of invasion and proximity of gliomas to portions of these networks. METHODS We retrospectively analyzed data from 45 patients undergoing glioma surgery centered in the insular lobe. Tumors were categorized based on their proximity and invasiveness of non-traditional cognitive networks and traditionally eloquent structures. Diffusion tensor imaging tractography was completed by creating a personalized brain atlas using Quicktome to determine eloquent and non-eloquent networks in each patient. Additionally, we prospectively collected neuropsychological data on 7 patients to compare tumor-network involvement with change in cognition. Lastly, 2 prospective patients had their surgical plan influenced by network mapping determined by Quicktome. RESULTS Forty-four of 45 patients demonstrated tumor involvement (< 1 cm proximity or invasion) with components of non-traditional brain networks involved in cognition such as the salience network (SN, 60%) and the central executive network (CEN, 56%). Of the seven prospective patients, all had tumors involved with the SN, CEN (5/7, 71%), and language network (5/7, 71%). The mean scores of MMSE and MOCA before surgery were 18.71 ± 6.94 and 17.29 ± 6.26, respectively. The two cases who received preoperative planning with Quicktome had a postoperative performance that was anticipated. CONCLUSIONS Non-traditional brain networks involved in cognition are encountered during surgical resection of insulo-Sylvian gliomas. Quicktome can improve the understanding of the presence of these networks and allow for more informed surgical decisions based on patient functional goals.
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Affiliation(s)
- Zhiqiang Wu
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Guanjie Hu
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Bowen Cao
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Xingdong Liu
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Zifeng Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Nicholas B Dadario
- Robert Wood Johnson Medical School, Rutgers University, Newark, NJ, 08901, USA
| | - Qinyu Shi
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Xiao Fan
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Yao Tang
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Zhangchun Cheng
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Xiefeng Wang
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Xia Zhang
- International Joint Research Center On Precision Brain Medicine, XD Group Hospital, Shaanxi Province, Xi'an, 710077, China
| | - Xiaorong Hu
- International Joint Research Center On Precision Brain Medicine, XD Group Hospital, Shaanxi Province, Xi'an, 710077, China.
| | - Junxia Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
- Institute for Brain Tumors, Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, 211166, China.
| | - Yongping You
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
- Institute for Brain Tumors, Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, 211166, China.
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7
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Bramen JE, Siddarth P, Popa ES, Kress GT, Rapozo MK, Hodes JF, Ganapathi AS, Slyapich CB, Glatt RM, Pierce K, Porter VR, Wong C, Kim M, Dye RV, Panos S, Bookheimer T, Togashi T, Loong S, Raji CA, Bookheimer SY, Roach JC, Merrill DA. Impact of Eating a Carbohydrate-Restricted Diet on Cortical Atrophy in a Cross-Section of Amyloid Positive Patients with Alzheimer's Disease: A Small Sample Study. J Alzheimers Dis 2023; 96:329-342. [PMID: 37742646 PMCID: PMC10657694 DOI: 10.3233/jad-230458] [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] [Accepted: 08/22/2023] [Indexed: 09/26/2023]
Abstract
BACKGROUND A carbohydrate-restricted diet aimed at lowering insulin levels has the potential to slow Alzheimer's disease (AD). Restricting carbohydrate consumption reduces insulin resistance, which could improve glucose uptake and neural health. A hallmark feature of AD is widespread cortical thinning; however, no study has demonstrated that lower net carbohydrate (nCHO) intake is linked to attenuated cortical atrophy in patients with AD and confirmed amyloidosis. OBJECTIVE We tested the hypothesis that individuals with AD and confirmed amyloid burden eating a carbohydrate-restricted diet have thicker cortex than those eating a moderate-to-high carbohydrate diet. METHODS A total of 31 patients (mean age 71.4±7.0 years) with AD and confirmed amyloid burden were divided into two groups based on a 130 g/day nCHO cutoff. Cortical thickness was estimated from T1-weighted MRI using FreeSurfer. Cortical surface analyses were corrected for multiple comparisons using cluster-wise probability. We assessed group differences using a two-tailed two-independent sample t-test. Linear regression analyses using nCHO as a continuous variable, accounting for confounders, were also conducted. RESULTS The lower nCHO group had significantly thicker cortex within somatomotor and visual networks. Linear regression analysis revealed that lower nCHO intake levels had a significant association with cortical thickness within the frontoparietal, cingulo-opercular, and visual networks. CONCLUSIONS Restricting carbohydrates may be associated with reduced atrophy in patients with AD. Lowering nCHO to under 130 g/day would allow patients to follow the well-validated MIND diet while benefiting from lower insulin levels.
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Affiliation(s)
- Jennifer E. Bramen
- Pacific Brain Health Center, Pacific Neuroscience Institute and Foundation, Santa Monica, CA, USA
- Saint John’s Cancer Institute at Providence Saint John’s Health Center, Santa Monica, CA, USA
- Providence Saint John’s Health Center, Santa Monica, CA, USA
| | - Prabha Siddarth
- Pacific Brain Health Center, Pacific Neuroscience Institute and Foundation, Santa Monica, CA, USA
- David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA, USA
| | - Emily S. Popa
- Pacific Brain Health Center, Pacific Neuroscience Institute and Foundation, Santa Monica, CA, USA
| | - Gavin T. Kress
- Pacific Brain Health Center, Pacific Neuroscience Institute and Foundation, Santa Monica, CA, USA
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Molly K. Rapozo
- Pacific Brain Health Center, Pacific Neuroscience Institute and Foundation, Santa Monica, CA, USA
| | - John F. Hodes
- Pacific Brain Health Center, Pacific Neuroscience Institute and Foundation, Santa Monica, CA, USA
- Drexel University College of Medicine, Philadelphia, PA, USA
| | - Aarthi S. Ganapathi
- Pacific Brain Health Center, Pacific Neuroscience Institute and Foundation, Santa Monica, CA, USA
| | - Colby B. Slyapich
- Pacific Brain Health Center, Pacific Neuroscience Institute and Foundation, Santa Monica, CA, USA
| | - Ryan M. Glatt
- Pacific Brain Health Center, Pacific Neuroscience Institute and Foundation, Santa Monica, CA, USA
| | - Kyron Pierce
- Pacific Brain Health Center, Pacific Neuroscience Institute and Foundation, Santa Monica, CA, USA
| | - Verna R. Porter
- Pacific Brain Health Center, Pacific Neuroscience Institute and Foundation, Santa Monica, CA, USA
- Saint John’s Cancer Institute at Providence Saint John’s Health Center, Santa Monica, CA, USA
- Providence Saint John’s Health Center, Santa Monica, CA, USA
| | - Claudia Wong
- Pacific Brain Health Center, Pacific Neuroscience Institute and Foundation, Santa Monica, CA, USA
- Providence Saint John’s Health Center, Santa Monica, CA, USA
| | - Mihae Kim
- Pacific Brain Health Center, Pacific Neuroscience Institute and Foundation, Santa Monica, CA, USA
- Providence Saint John’s Health Center, Santa Monica, CA, USA
| | - Richelin V. Dye
- Pacific Brain Health Center, Pacific Neuroscience Institute and Foundation, Santa Monica, CA, USA
- Loma Linda University, School of Medicine and School of Behavioral Health, Loma Linda, CA, USA
| | - Stella Panos
- Pacific Brain Health Center, Pacific Neuroscience Institute and Foundation, Santa Monica, CA, USA
| | - Tess Bookheimer
- Pacific Brain Health Center, Pacific Neuroscience Institute and Foundation, Santa Monica, CA, USA
| | - Tori Togashi
- Pacific Brain Health Center, Pacific Neuroscience Institute and Foundation, Santa Monica, CA, USA
- Loma Linda University, School of Medicine and School of Behavioral Health, Loma Linda, CA, USA
| | - Spencer Loong
- Pacific Brain Health Center, Pacific Neuroscience Institute and Foundation, Santa Monica, CA, USA
- Loma Linda University, School of Medicine and School of Behavioral Health, Loma Linda, CA, USA
| | - Cyrus A. Raji
- Pacific Brain Health Center, Pacific Neuroscience Institute and Foundation, Santa Monica, CA, USA
- Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO, USA
| | - Susan Y. Bookheimer
- Pacific Brain Health Center, Pacific Neuroscience Institute and Foundation, Santa Monica, CA, USA
- David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA, USA
| | | | - David A. Merrill
- Pacific Brain Health Center, Pacific Neuroscience Institute and Foundation, Santa Monica, CA, USA
- Saint John’s Cancer Institute at Providence Saint John’s Health Center, Santa Monica, CA, USA
- Providence Saint John’s Health Center, Santa Monica, CA, USA
- David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA, USA
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Young IM, Dadario NB, Tanglay O, Chen E, Cook B, Taylor HM, Crawford L, Yeung JT, Nicholas PJ, Doyen S, Sughrue ME. Connectivity Model of the Anatomic Substrates and Network Abnormalities in Major Depressive Disorder: A Coordinate Meta-Analysis of Resting-State Functional Connectivity. JOURNAL OF AFFECTIVE DISORDERS REPORTS 2023. [DOI: 10.1016/j.jadr.2023.100478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
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9
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Yoneta N, Watanabe H, Shimojo A, Takano K, Saito T, Yagyu K, Shiraishi H, Yokosawa K, Boasen J. Magnetoencephalography Hyperscanning Evidence of Differing Cognitive Strategies Due to Social Role During Auditory Communication. Front Neurosci 2022; 16:790057. [PMID: 35983225 PMCID: PMC9380591 DOI: 10.3389/fnins.2022.790057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 06/23/2022] [Indexed: 11/30/2022] Open
Abstract
Auditory communication is an essential form of human social interaction. However, the intra-brain cortical-oscillatory drivers of auditory communication exchange remain relatively unexplored. We used improvisational music performance to simulate and capture the creativity and turn-taking dynamics of natural auditory communication. Using magnetoencephalography (MEG) hyperscanning in musicians, we targeted brain activity during periods of music communication imagery, and separately analyzed theta (5–7 Hz), alpha (8–13 Hz), and beta (15–29 Hz) source-level activity using a within-subjects, two-factor approach which considered the assigned social role of the subject (leader or follower) and whether communication responses were improvisational (yes or no). Theta activity related to improvisational communication and social role significantly interacted in the left isthmus cingulate cortex. Social role was furthermore differentiated by pronounced occipital alpha and beta amplitude increases suggestive of working memory retention engagement in Followers but not Leaders. The results offer compelling evidence for both musical and social neuroscience that the cognitive strategies, and correspondingly the memory and attention-associated oscillatory brain activities of interlocutors during communication differs according to their social role/hierarchy, thereby indicating that social role/hierarchy needs to be controlled for in social neuroscience research.
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Affiliation(s)
- Nano Yoneta
- Graduate School of Health Sciences, Hokkaido University, Sapporo, Japan
| | - Hayato Watanabe
- Faculty of Health Sciences, Hokkaido University, Sapporo, Japan
- Department of Child Studies, Toyooka Junior College, Toyooka, Japan
- Department of Child and Adolescent Psychiatry, Hokkaido University Hospital, Sapporo, Japan
| | - Atsushi Shimojo
- Department of Child and Adolescent Psychiatry, Hokkaido University Hospital, Sapporo, Japan
| | - Kazuyoshi Takano
- Graduate School of Health Sciences, Hokkaido University, Sapporo, Japan
| | - Takuya Saito
- Department of Child and Adolescent Psychiatry, Hokkaido University Hospital, Sapporo, Japan
| | - Kazuyori Yagyu
- Department of Child and Adolescent Psychiatry, Hokkaido University Hospital, Sapporo, Japan
| | - Hideaki Shiraishi
- Department of Pediatrics, Hokkaido University Hospital, Sapporo, Japan
| | - Koichi Yokosawa
- Faculty of Health Sciences, Hokkaido University, Sapporo, Japan
- *Correspondence: Koichi Yokosawa,
| | - Jared Boasen
- Faculty of Health Sciences, Hokkaido University, Sapporo, Japan
- Tech3Lab, HEC Montréal, Montréal, QC, Canada
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10
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Briggs RG, Young IM, Dadario NB, Fonseka RD, Hormovas J, Allan P, Larsen ML, Lin YH, Tanglay O, Maxwell BD, Conner AK, Stafford JF, Glenn CA, Teo C, Sughrue ME. Parcellation-based tractographic modeling of the salience network through meta-analysis. Brain Behav 2022; 12:e2646. [PMID: 35733239 PMCID: PMC9304834 DOI: 10.1002/brb3.2646] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 02/09/2022] [Accepted: 04/07/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND The salience network (SN) is a transitory mediator between active and passive states of mind. Multiple cortical areas, including the opercular, insular, and cingulate cortices have been linked in this processing, though knowledge of network connectivity has been devoid of structural specificity. OBJECTIVE The current study sought to create an anatomically specific connectivity model of the neural substrates involved in the salience network. METHODS A literature search of PubMed and BrainMap Sleuth was conducted for resting-state and task-based fMRI studies relevant to the salience network according to PRISMA guidelines. Publicly available meta-analytic software was utilized to extract relevant fMRI data for the creation of an activation likelihood estimation (ALE) map and relevant parcellations from the human connectome project overlapping with the ALE data were identified for inclusion in our SN model. DSI-based fiber tractography was then performed on publicaly available data from healthy subjects to determine the structural connections between cortical parcellations comprising the network. RESULTS Nine cortical regions were found to comprise the salience network: areas AVI (anterior ventral insula), MI (middle insula), FOP4 (frontal operculum 4), FOP5 (frontal operculum 5), a24pr (anterior 24 prime), a32pr (anterior 32 prime), p32pr (posterior 32 prime), and SCEF (supplementary and cingulate eye field), and 46. The frontal aslant tract was found to connect the opercular-insular cluster to the middle cingulate clusters of the network, while mostly short U-fibers connected adjacent nodes of the network. CONCLUSION Here we provide an anatomically specific connectivity model of the neural substrates involved in the salience network. These results may serve as an empiric basis for clinical translation in this region and for future study which seeks to expand our understanding of how specific neural substrates are involved in salience processing and guide subsequent human behavior.
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Affiliation(s)
- Robert G Briggs
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | | | - Nicholas B Dadario
- Robert Wood Johnson Medical School, Rutgers University, New Brunswick, New Jersey, USA
| | - R Dineth Fonseka
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Sydney, New South Wales, Australia
| | - Jorge Hormovas
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Sydney, New South Wales, Australia
| | - Parker Allan
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Micah L Larsen
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Yueh-Hsin Lin
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Sydney, New South Wales, Australia
| | - Onur Tanglay
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Sydney, New South Wales, Australia
| | - B David Maxwell
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Andrew K Conner
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Jordan F Stafford
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Chad A Glenn
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Charles Teo
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Sydney, New South Wales, Australia
| | - Michael E Sughrue
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Sydney, New South Wales, Australia.,Omniscient Neurotechnology, Sydney, New South Wales, Australia
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11
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Nichols NM, Hadjipanayis CG. Editorial. Supramaximal resection of eloquent glioblastoma: a continued paradigm shift in neurosurgical oncology. J Neurosurg 2022; 138:58-60. [PMID: 35623364 DOI: 10.3171/2022.3.jns22564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- Noah M Nichols
- 1Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York
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12
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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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13
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Tanglay O, Young IM, Dadario NB, Taylor HM, Nicholas PJ, Doyen S, Sughrue ME. Eigenvector PageRank difference as a measure to reveal topological characteristics of the brain connectome for neurosurgery. J Neurooncol 2022; 157:49-61. [PMID: 35119590 DOI: 10.1007/s11060-021-03935-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 12/23/2021] [Indexed: 12/16/2022]
Abstract
PURPOSE Applying graph theory to the human brain has the potential to help prognosticate the impacts of intracerebral surgery. Eigenvector (EC) and PageRank (PR) centrality are two related, but uniquely different measures of nodal centrality which may be utilized together to reveal varying neuroanatomical characteristics of the brain connectome. METHODS We obtained diffusion neuroimaging data from a healthy cohort (UCLA consortium for neuropsychiatric phenomics) and applied a personalized parcellation scheme to them. We ranked parcels based on weighted EC and PR, and then calculated the difference (EP difference) and correlation between the two metrics. We also compared the difference between the two metrics to the clustering coefficient. RESULTS While EC and PR were consistent for top and bottom ranking parcels, they differed for mid-ranking parcels. Parcels with a high EC centrality but low PR tended to be in the medial temporal and temporooccipital regions, whereas PR conferred greater importance to multi-modal association areas in the frontal, parietal and insular cortices. The EP difference showed a weak correlation with clustering coefficient, though there was significant individual variation. CONCLUSIONS The relationship between PageRank and eigenvector centrality can identify distinct topological characteristics of the brain connectome such as the presence of unimodal or multimodal association cortices. These results highlight how different graph theory metrics can be used alone or in combination to reveal unique neuroanatomical features for further clinical study.
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Affiliation(s)
- Onur Tanglay
- Omniscient Neurotechnology, Sydney, Australia.,Centre for Minimally Invasive Neurosurgery, Prince of Wales Hospital, Randwick, NSW, 2031, Australia
| | | | - Nicholas B Dadario
- Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, 08901, USA
| | | | | | | | - Michael E Sughrue
- Omniscient Neurotechnology, Sydney, Australia. .,Centre for Minimally Invasive Neurosurgery, Prince of Wales Hospital, Randwick, NSW, 2031, Australia.
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14
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Dadario NB, Teo C, Sughrue ME. Insular gliomas and tractographic visualization of the connectome. NEUROSURGICAL FOCUS: VIDEO 2022; 6:V4. [PMID: 36284592 PMCID: PMC9555346 DOI: 10.3171/2021.10.focvid21194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 10/28/2021] [Indexed: 06/16/2023]
Abstract
In this video, the authors present a connectome-guided surgical resection of an insular glioma in a 39-year-old woman. Preoperative study with constrained spherical deconvolution (CSD)-based tractography revealed the surrounding brain connectome architecture around the tumor relevant for safe surgical resection. Connectomic information provided detailed maps of the surrounding language and salience networks, including eloquent white matter fibers and cortical regions, which were visualized intraoperatively with image guidance and artificial intelligence (AI)-based brain mapping software. Microsurgical dissection is presented with detailed discussion of the safe boundaries and angles of resection when entering the insular operculum defined by connectomic information. The video can be found here: https://stream.cadmore.media/r10.3171/2021.10.FOCVID21194.
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Affiliation(s)
- Nicholas B. Dadario
- Robert Wood Johnson Medical School, Rutgers University, New Brunswick, New Jersey
| | - Charles Teo
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Randwick, New South Wales; and
| | - Michael E. Sughrue
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Randwick, New South Wales; and
- Omniscient Neurotechnology, Sydney, New South Wales, Australia
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15
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Dadario NB, Brahimaj B, Yeung J, Sughrue ME. Reducing the Cognitive Footprint of Brain Tumor Surgery. Front Neurol 2021; 12:711646. [PMID: 34484105 PMCID: PMC8415405 DOI: 10.3389/fneur.2021.711646] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 07/12/2021] [Indexed: 12/03/2022] Open
Abstract
The surgical management of brain tumors is based on the principle that the extent of resection improves patient outcomes. Traditionally, neurosurgeons have considered that lesions in “non-eloquent” cerebrum can be more aggressively surgically managed compared to lesions in “eloquent” regions with more known functional relevance. Furthermore, advancements in multimodal imaging technologies have improved our ability to extend the rate of resection while minimizing the risk of inducing new neurologic deficits, together referred to as the “onco-functional balance.” However, despite the common utilization of invasive techniques such as cortical mapping to identify eloquent tissue responsible for language and motor functions, glioma patients continue to present post-operatively with poor cognitive morbidity in higher-order functions. Such observations are likely related to the difficulty in interpreting the highly-dimensional information these technologies present to us regarding cognition in addition to our classically poor understanding of the functional and structural neuroanatomy underlying complex higher-order cognitive functions. Furthermore, reduction of the brain into isolated cortical regions without consideration of the complex, interacting brain networks which these regions function within to subserve higher-order cognition inherently prevents our successful navigation of true eloquent and non-eloquent cerebrum. Fortunately, recent large-scale movements in the neuroscience community, such as the Human Connectome Project (HCP), have provided updated neural data detailing the many intricate macroscopic connections between cortical regions which integrate and process the information underlying complex human behavior within a brain “connectome.” Connectomic data can provide us better maps on how to understand convoluted cortical and subcortical relationships between tumor and human cerebrum such that neurosurgeons can begin to make more informed decisions during surgery to maximize the onco-functional balance. However, connectome-based neurosurgery and related applications for neurorehabilitation are relatively nascent and require further work moving forward to optimize our ability to add highly valuable connectomic data to our surgical armamentarium. In this manuscript, we review four concepts with detailed examples which will help us better understand post-operative cognitive outcomes and provide a guide for how to utilize connectomics to reduce cognitive morbidity following cerebral surgery.
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Affiliation(s)
- Nicholas B Dadario
- Robert Wood Johnson School of Medicine, Rutgers University, New Brunswick, NJ, United States
| | - Bledi Brahimaj
- Department of Neurosurgery, Rush University Medical Center, Chicago, IL, United States
| | - Jacky Yeung
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Sydney, NSW, Australia
| | - Michael E Sughrue
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Sydney, NSW, Australia
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