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Lawn T, Giacomel A, Martins D, Veronese M, Howard M, Turkheimer FE, Dipasquale O. Normative modelling of molecular-based functional circuits captures clinical heterogeneity transdiagnostically in psychiatric patients. Commun Biol 2024; 7:689. [PMID: 38839931 PMCID: PMC11153627 DOI: 10.1038/s42003-024-06391-3] [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: 12/01/2023] [Accepted: 05/27/2024] [Indexed: 06/07/2024] Open
Abstract
Advanced methods such as REACT have allowed the integration of fMRI with the brain's receptor landscape, providing novel insights transcending the multiscale organisation of the brain. Similarly, normative modelling has allowed translational neuroscience to move beyond group-average differences and characterise deviations from health at an individual level. Here, we bring these methods together for the first time. We used REACT to create functional networks enriched with the main modulatory, inhibitory, and excitatory neurotransmitter systems and generated normative models of these networks to capture functional connectivity deviations in patients with schizophrenia, bipolar disorder (BPD), and ADHD. Substantial overlap was seen in symptomatology and deviations from normality across groups, but these could be mapped into a common space linking constellations of symptoms through to underlying neurobiology transdiagnostically. This work provides impetus for developing novel biomarkers that characterise molecular- and systems-level dysfunction at the individual level, facilitating the transition towards mechanistically targeted treatments.
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Affiliation(s)
- Timothy Lawn
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - Alessio Giacomel
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Daniel Martins
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Division of Adult Psychiatry, Department of Psychiatry, Geneva University Hospitals, Geneva, Switzerland
| | - Mattia Veronese
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Information Engineering, University of Padua, Padua, Italy
| | - Matthew Howard
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Federico E Turkheimer
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Ottavia Dipasquale
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
- Department of Research & Development Advanced Applications, Olea Medical, La Ciotat, France.
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2
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Theys C, Jaakkola E, Melzer TR, De Nil LF, Guenther FH, Cohen AL, Fox MD, Joutsa J. Localization of stuttering based on causal brain lesions. Brain 2024; 147:2203-2213. [PMID: 38797521 PMCID: PMC11146419 DOI: 10.1093/brain/awae059] [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: 09/10/2023] [Revised: 01/23/2024] [Accepted: 02/06/2024] [Indexed: 05/29/2024] Open
Abstract
Stuttering affects approximately 1 in 100 adults and can result in significant communication problems and social anxiety. It most often occurs as a developmental disorder but can also be caused by focal brain damage. These latter cases may lend unique insight into the brain regions causing stuttering. Here, we investigated the neuroanatomical substrate of stuttering using three independent datasets: (i) case reports from the published literature of acquired neurogenic stuttering following stroke (n = 20, 14 males/six females, 16-77 years); (ii) a clinical single study cohort with acquired neurogenic stuttering following stroke (n = 20, 13 males/seven females, 45-87 years); and (iii) adults with persistent developmental stuttering (n = 20, 14 males/six females, 18-43 years). We used the first two datasets and lesion network mapping to test whether lesions causing acquired stuttering map to a common brain network. We then used the third dataset to test whether this lesion-based network was relevant to developmental stuttering. In our literature dataset, we found that lesions causing stuttering occurred in multiple heterogeneous brain regions, but these lesion locations were all functionally connected to a common network centred around the left putamen, including the claustrum, amygdalostriatal transition area and other adjacent areas. This finding was shown to be specific for stuttering (PFWE < 0.05) and reproducible in our independent clinical cohort of patients with stroke-induced stuttering (PFWE < 0.05), resulting in a common acquired stuttering network across both stroke datasets. Within the common acquired stuttering network, we found a significant association between grey matter volume and stuttering impact for adults with persistent developmental stuttering in the left posteroventral putamen, extending into the adjacent claustrum and amygdalostriatal transition area (PFWE < 0.05). We conclude that lesions causing acquired neurogenic stuttering map to a common brain network, centred to the left putamen, claustrum and amygdalostriatal transition area. The association of this lesion-based network with symptom severity in developmental stuttering suggests a shared neuroanatomy across aetiologies.
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Affiliation(s)
- Catherine Theys
- School of Psychology, Speech and Hearing, University of Canterbury, 8140 Christchurch, New Zealand
- New Zealand Institute of Language, Brain and Behaviour, University of Canterbury, 8140 Christchurch, New Zealand
- New Zealand Brain Research Institute, 8011 Christchurch, New Zealand
| | - Elina Jaakkola
- Turku Brain and Mind Center, Clinical Neurosciences, University of Turku, 20014 Turku, Finland
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, 00014 Helsinki, Finland
| | - Tracy R Melzer
- School of Psychology, Speech and Hearing, University of Canterbury, 8140 Christchurch, New Zealand
- New Zealand Brain Research Institute, 8011 Christchurch, New Zealand
- Department of Medicine, University of Otago, 8011 Christchurch, New Zealand
- RHCNZ—Pacific Radiology Canterbury, 8031 Christchurch, New Zealand
| | - Luc F De Nil
- Department of Speech-Language Pathology, University of Toronto, Toronto, ON M5G 1V7, Canada
- Rehabilitation Sciences Institute, University of Toronto, Toronto, ON M5G 1V7, Canada
| | - Frank H Guenther
- Departments of Speech, Language and Hearing Sciences and Biomedical Engineering, Boston University, Boston, MA 02215, USA
- The Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Alexander L Cohen
- Department of Neurology, Boston Children’s Hospital, Boston, MA 02115, USA
- Center for Brain Circuit Therapeutics, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
| | - Michael D Fox
- Center for Brain Circuit Therapeutics, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
| | - Juho Joutsa
- Turku Brain and Mind Center, Clinical Neurosciences, University of Turku, 20014 Turku, Finland
- Turku PET Centre, Neurocenter, Turku University Hospital, 20014 Turku, Finland
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3
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How brain damage affects our willingness to help others. Nat Hum Behav 2024:10.1038/s41562-024-01900-0. [PMID: 38816605 DOI: 10.1038/s41562-024-01900-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2024]
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4
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Sihvonen AJ, Ferguson MA, Chen V, Soinila S, Särkämö T, Joutsa J. Focal Brain Lesions Causing Acquired Amusia Map to a Common Brain Network. J Neurosci 2024; 44:e1922232024. [PMID: 38423761 PMCID: PMC11007473 DOI: 10.1523/jneurosci.1922-23.2024] [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: 10/10/2023] [Revised: 02/15/2024] [Accepted: 02/22/2024] [Indexed: 03/02/2024] Open
Abstract
Music is a universal human attribute. The study of amusia, a neurologic music processing deficit, has increasingly elaborated our view on the neural organization of the musical brain. However, lesions causing amusia occur in multiple brain locations and often also cause aphasia, leaving the distinct neural networks for amusia unclear. Here, we utilized lesion network mapping to identify these networks. A systematic literature search was carried out to identify all published case reports of lesion-induced amusia. The reproducibility and specificity of the identified amusia network were then tested in an independent prospective cohort of 97 stroke patients (46 female and 51 male) with repeated structural brain imaging, specifically assessed for both music perception and language abilities. Lesion locations in the case reports were heterogeneous but connected to common brain regions, including bilateral temporoparietal and insular cortices, precentral gyrus, and cingulum. In the prospective cohort, lesions causing amusia mapped to a common brain network, centering on the right superior temporal cortex and clearly distinct from the network causally associated with aphasia. Lesion-induced longitudinal structural effects in the amusia circuit were confirmed as reduction of both gray and white matter volume, which correlated with the severity of amusia. We demonstrate that despite the heterogeneity of lesion locations disrupting music processing, there is a common brain network that is distinct from the language network. These results provide evidence for the distinct neural substrate of music processing, differentiating music-related functions from language, providing a testable target for noninvasive brain stimulation to treat amusia.
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Affiliation(s)
- Aleksi J Sihvonen
- Cognitive Brain Research Unit, Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki 00014, Finland
- Centre of Excellence in Music, Mind, Body and Brain, University of Helsinki, Helsinki 00014, Finland
- Queensland Aphasia Research Centre, University of Queensland, Brisbane, Queensland 4072, Australia
- Department of Neurology, Neurocenter, Helsinki University Hospital, Helsinki 00029, Finland
| | - Michael A Ferguson
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, Massachusetts 02115
- Harvard Medical School, Boston, Massachusetts 02115
- Center for the Study of World Religions, Harvard Divinity School, Cambridge, Massachusetts 02138
| | - Vicky Chen
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
| | - Seppo Soinila
- Division of Clinical Neurosciences, University of Turku and Neurocenter, Turku University Hospital, Turku 20521, Finland
| | - Teppo Särkämö
- Cognitive Brain Research Unit, Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki 00014, Finland
- Centre of Excellence in Music, Mind, Body and Brain, University of Helsinki, Helsinki 00014, Finland
| | - Juho Joutsa
- Turku Brain and Mind Center, Clinical Neurosciences, University of Turku, Turku 20521, Finland
- Neurocenter and Turku PET Center, Turku University Hospital, Turku 20521, Finland
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Siddiqi SH, Klingbeil J, Webler R, Kratter IH, Blumberger DM, Fox MD, George MS, Grafman JH, Pascual-Leone A, Pines AR, Richardson RM, Talati P, Vila-Rodriguez F, Downar J, Hershey T, Black KJ. Causal network localization of brain stimulation targets for trait anxiety. RESEARCH SQUARE 2024:rs.3.rs-4221074. [PMID: 38659844 PMCID: PMC11042390 DOI: 10.21203/rs.3.rs-4221074/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
Transcranial magnetic stimulation (TMS) and deep brain stimulation (DBS) can treat some neuropsychiatric disorders, but there is no consensus approach for identifying new targets. We localized causal circuit-based targets for anxiety that converged across multiple natural experiments. Lesions (n=451) and TMS sites (n=111) that modify anxiety mapped to a common normative brain circuit (r=0.68, p=0.01). In an independent dataset (n=300), individualized TMS site connectivity to this circuit predicted anxiety change (p=0.02). Subthalamic DBS sites overlapping the circuit caused more anxiety (n=74, p=0.006), thus demonstrating a network-level effect, as the circuit was derived without any subthalamic sites. The circuit was specific to trait versus state anxiety in datasets that measured both (p=0.003). Broadly, this illustrates a pathway for discovering novel circuit-based targets across neuropsychiatric disorders.
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Affiliation(s)
- Shan H. Siddiqi
- Center for Brain Circuit Therapeutics, Brigham & Women’s Hospital, Boston, MA
- Department of Psychiatry, Harvard Medical School
| | | | - Ryan Webler
- Center for Brain Circuit Therapeutics, Brigham & Women’s Hospital, Boston, MA
- Department of Psychiatry, Harvard Medical School
| | - Ian H. Kratter
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine
| | - Daniel M. Blumberger
- Department of Psychiatry, University of Toronto
- Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, Toronto, ON
| | - Michael D. Fox
- Center for Brain Circuit Therapeutics, Brigham & Women’s Hospital, Boston, MA
- Department of Psychiatry, Harvard Medical School
- Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Mark S. George
- Department of Psychiatry, Medical University of South Carolina
- Ralph H. Johnson Veterans Affairs Hospital
| | - Jordan H. Grafman
- Shirley Ryan AbilityLab
- Northwestern University Feinberg School of Medicine
| | - Alvaro Pascual-Leone
- Department of Neurology, Harvard Medical School, Boston, MA, USA
- Hinda and Arthur Marcus Institute for Aging Research; Deanna and Sidney Wolk Center for Memory Health, Hebrew SeniorLife, Boston, MA, USA
| | - Andrew R. Pines
- Center for Brain Circuit Therapeutics, Brigham & Women’s Hospital, Boston, MA
- Department of Psychiatry, Harvard Medical School
| | - R. Mark Richardson
- Department of Neurosurgery, Massachusetts General Hospital
- Department of Neurosurgery, Harvard Medical School
| | - Pratik Talati
- Department of Neurosurgery, Massachusetts General Hospital
- Department of Neurosurgery, Harvard Medical School
| | - Fidel Vila-Rodriguez
- Non-Invasive Neurostimulation Therapies Laboratory, Department of Psychiatry and School of Biomedical Engineering, University of British Columbia
| | | | - Tamara Hershey
- Departments of Psychiatry, Radiology, Neurology and Neuroscience, Washington University School of Medicine
| | - Kevin J. Black
- Departments of Psychiatry, Radiology, Neurology and Neuroscience, Washington University School of Medicine
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Howard CW, Ferguson MH, Siddiqi SH, Fox MD. Lesion voxels to lesion networks: The enduring value of the Vietnam Head Injury Study. Cortex 2024; 172:109-113. [PMID: 38271817 DOI: 10.1016/j.cortex.2023.12.006] [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: 05/16/2023] [Revised: 10/10/2023] [Accepted: 12/20/2023] [Indexed: 01/27/2024]
Abstract
The Vietnam Head Injury Study has been curated by Dr Jordan Grafman since the 1980s in an effort to study patients with penetrating traumatic brain injuries suffered during the Vietnam War. Unlike many datasets of ischemic stroke lesions, the VHIS collected extraordinarily deep phenotyping and was able to sample lesion locations that are not constrained to typical vascular territories. For decades, this dataset has helped researchers draw causal links between neuroanatomical regions and neuropsychiatric symptoms. The value of the VHIS has only increased over time as techniques for analyzing the dataset have developed and evolved. Tools such as voxel lesion symptom mapping allowed one to relate symptoms to individual brain voxels. With the advent of the human connectome, tools such as lesion network mapping allow one to relate symptoms to connected brain networks by combining lesion datasets with new atlases of human brain connectivity. In a series of recent studies, lesion network mapping has been combined with the Vietnam Head Injury dataset to identify brain networks associated with spirituality, religiosity, consciousness, memory, emotion regulation, addiction, depression, and even transdiagnostic mental illness. These findings are enhancing our ability to make diagnoses, identify potential treatment targets for focal brain stimulation, and understand the human brain generally. Our techniques for studying brain lesions will continue to improve, as will our tools for modulating brain circuits. As these advances occur, the value of well characterized lesion datasets such as the Vietnam Head Injury Study will continue to grow. This study aims to review the history of the Vietnam Head Injury Study and contextualize its role in modern-day localization of neurological symptoms.
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Affiliation(s)
- Calvin W Howard
- Center for Brain Circuit Therapeutics, Department of Neurology Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA; Clinician Investigator Program, Postgraduate Medical Education, University of Manitoba, Winnipeg, Manitoba, Canada; Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité -Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
| | - Michael H Ferguson
- Center for Brain Circuit Therapeutics, Department of Neurology Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Shan H Siddiqi
- Center for Brain Circuit Therapeutics, Department of Neurology Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Michael D Fox
- Center for Brain Circuit Therapeutics, Department of Neurology Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
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Chao X, Wang J, Dong Y, Fang Y, Yin D, Wen J, Wang P, Sun W. Neuroimaging of neuropsychological disturbances following ischaemic stroke (CONNECT): a prospective cohort study protocol. BMJ Open 2024; 14:e077799. [PMID: 38286706 PMCID: PMC10826587 DOI: 10.1136/bmjopen-2023-077799] [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] [Received: 07/15/2023] [Accepted: 01/09/2024] [Indexed: 01/31/2024] Open
Abstract
INTRODUCTION Neuropsychiatric distubance is a common clinical manifestation in acute ischemic stroke. However, it is frequently overlooked by clinicians. This study aimed to explore the possible aetiology and pathogenesis of neuropsychiatric disturbances following ischaemic stroke (NDIS) from an anatomical and functional perspective with the help of neuroimaging methods. METHOD AND ANALYSIS CONNECT is a prospective cohort study of neuroimaging and its functional outcome in NDIS. We aim to enrol a minimum of 300 individuals with first-ever stroke. The neuropsychological disturbances involved in this study include depression, anxiety disorder, headache, apathy, insomnia, fatigue and cognitive impairment. Using scales that have been shown to be effective in assessing the above symptoms, the NDIS evaluation battery requires at least 2 hours at baseline. Moreover, all patients will be required to complete 2 years of follow-up, during which the NDIS will be re-evaluated at 3 months, 12 months and 24 months by telephone and 6 months by outpatient interview after the index stroke. The primary outcome of our study is the incidence of NDIS at the 6-month mark. Secondary outcomes are related to the severity of NDIS as well as functional rehabilitation of patients. Functional imaging evaluation will be performed at baseline and 6-month follow-up using specific sequences including resting-state functional MRI, diffusion tensor imaging, T1-weighted imaging, T2-weighted imaging, diffusion-weighted imaging, arterial spin labelling, quantitative susceptibility mapping and fluid-attenuated inversion recovery imaging. In addition, we collect haematological information from patients to explore potential biological and genetic markers of NDIS through histological analysis. ETHICS AND DISSEMINATION The CONNECT Study was approved by the Ethics Review Committee of the First Hospital of the University of Science and Technology of China (2021-ky012) and written informed consent will be obtained from all participants. Results will be disseminated via a peer-reviewed journal. TRIAL REGISTRATION NUMBER ChiCTR2100043886.
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Affiliation(s)
- Xian Chao
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Jinjing Wang
- Department of Neurology, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Yiran Dong
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Yirong Fang
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Dawei Yin
- Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Jie Wen
- Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Peng Wang
- Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Wen Sun
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
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Siddiqi SH, Khosravani S, Rolston JD, Fox MD. The future of brain circuit-targeted therapeutics. Neuropsychopharmacology 2024; 49:179-188. [PMID: 37524752 PMCID: PMC10700386 DOI: 10.1038/s41386-023-01670-9] [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] [Received: 03/18/2023] [Revised: 07/07/2023] [Accepted: 07/10/2023] [Indexed: 08/02/2023]
Abstract
The principle of targeting brain circuits has drawn increasing attention with the growth of brain stimulation treatments such as transcranial magnetic stimulation (TMS), deep brain stimulation (DBS), and focused ultrasound (FUS). Each of these techniques can effectively treat different neuropsychiatric disorders, but treating any given disorder depends on choosing the right treatment target. Here, we propose a three-phase framework for identifying and modulating these targets. There are multiple approaches to identifying a target, including correlative neuroimaging, retrospective optimization based on existing stimulation sites, and lesion localization. These techniques can then be optimized using personalized neuroimaging, physiological monitoring, and engagement of a specific brain state using pharmacological or psychological interventions. Finally, a specific stimulation modality or combination of modalities can be chosen after considering the advantages and tradeoffs of each. While there is preliminary literature to support different components of this framework, there are still many unanswered questions. This presents an opportunity for the future growth of research and clinical care in brain circuit therapeutics.
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Affiliation(s)
- Shan H Siddiqi
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, MA, USA.
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
| | - Sanaz Khosravani
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, MA, USA
- Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - John D Rolston
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, MA, USA
- Department of Neurosurgery, Harvard Medical School, Boston, MA, USA
| | - Michael D Fox
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, MA, USA
- Department of Neurology, Harvard Medical School, Boston, MA, USA
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Arsava EM, Chang K, Tawakol A, Loggia ML, Goldstein JN, Brown J, Park KY, Singhal AB, Kalpathy-Cramer J, Sorensen AG, Rosen BR, Samuels MA, Ay H. Stroke-Related Visceral Alterations: A Voxel-Based Neuroanatomic Localization Study. Ann Neurol 2023; 94:1155-1163. [PMID: 37642641 PMCID: PMC10841239 DOI: 10.1002/ana.26785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 08/28/2023] [Accepted: 08/28/2023] [Indexed: 08/31/2023]
Abstract
OBJECTIVE Functional and morphologic changes in extracranial organs can occur after acute brain injury. The neuroanatomic correlates of such changes are not fully known. Herein, we tested the hypothesis that brain infarcts are associated with cardiac and systemic abnormalities (CSAs) in a regionally specific manner. METHODS We generated voxelwise p value maps of brain infarcts for poststroke plasma cardiac troponin T (cTnT) elevation, QTc prolongation, in-hospital infection, and acute stress hyperglycemia (ASH) in 1,208 acute ischemic stroke patients prospectively recruited into the Heart-Brain Interactions Study. We examined the relationship between infarct location and CSAs using a permutation-based approach and identified clusters of contiguous voxels associated with p < 0.05. RESULTS cTnT elevation not attributable to a known cardiac reason was detected in 5.5%, QTc prolongation in the absence of a known provoker in 21.2%, ASH in 33.9%, and poststroke infection in 13.6%. We identified significant, spatially segregated voxel clusters for each CSA. The clusters for troponin elevation and QTc prolongation mapped to the right hemisphere. There were 3 clusters for ASH, the largest of which was in the left hemisphere. We found 2 clusters for poststroke infection, one associated with pneumonia in the left and one with urinary tract infection in the right hemisphere. The relationship between infarct location and CSAs persisted after adjusting for infarct volume. INTERPRETATION Our results show that there are discrete regions of brain infarcts associated with CSAs. This information could be used to bootstrap toward new markers for better differentiation between neurogenic and non-neurogenic mechanisms of poststroke CSAs. ANN NEUROL 2023;94:1155-1163.
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Affiliation(s)
- Ethem Murat Arsava
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown MA, USA
| | - Ken Chang
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown MA, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ahmed Tawakol
- Cardiology Division and Cardiovascular Imaging Research Center, Massachusetts General Hospital, Boston MA, USA
| | - Marco L. Loggia
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown MA, USA
| | - Joshua N. Goldstein
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - James Brown
- School of Computer Science, University of Lincoln, Lincoln, United Kingdom
| | - Kwang-Yeol Park
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown MA, USA
- Department of Neurology, Chung-Ang University Hospital, Seoul, Republic of Korea
| | - Aneesh B. Singhal
- Department of Neurology, Massachusetts General Hospital, Boston MA, USA
| | - Jayashree Kalpathy-Cramer
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown MA, USA
| | - Alma Gregory Sorensen
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown MA, USA
| | - Bruce R. Rosen
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown MA, USA
| | | | - Hakan Ay
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown MA, USA
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Kletenik I, Cohen AL, Glanz BI, Ferguson MA, Tauhid S, Li J, Drew W, Polgar-Turcsanyi M, Palotai M, Siddiqi SH, Marshall GA, Chitnis T, Guttmann CRG, Bakshi R, Fox MD. Multiple sclerosis lesions that impair memory map to a connected memory circuit. J Neurol 2023; 270:5211-5222. [PMID: 37532802 PMCID: PMC10592111 DOI: 10.1007/s00415-023-11907-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 07/24/2023] [Accepted: 07/26/2023] [Indexed: 08/04/2023]
Abstract
BACKGROUND Nearly 1 million Americans are living with multiple sclerosis (MS) and 30-50% will experience memory dysfunction. It remains unclear whether this memory dysfunction is due to overall white matter lesion burden or damage to specific neuroanatomical structures. Here we test if MS memory dysfunction is associated with white matter lesions to a specific brain circuit. METHODS We performed a cross-sectional analysis of standard structural images and verbal memory scores as assessed by immediate recall trials from 431 patients with MS (mean age 49.2 years, 71.9% female) enrolled at a large, academic referral center. White matter lesion locations from each patient were mapped using a validated algorithm. First, we tested for associations between memory dysfunction and total MS lesion volume. Second, we tested for associations between memory dysfunction and lesion intersection with an a priori memory circuit derived from stroke lesions. Third, we performed mediation analyses to determine which variable was most associated with memory dysfunction. Finally, we performed a data-driven analysis to derive de-novo brain circuits for MS memory dysfunction using both functional (n = 1000) and structural (n = 178) connectomes. RESULTS Both total lesion volume (r = 0.31, p < 0.001) and lesion damage to our a priori memory circuit (r = 0.34, p < 0.001) were associated with memory dysfunction. However, lesion damage to the memory circuit fully mediated the association of lesion volume with memory performance. Our data-driven analysis identified multiple connections associated with memory dysfunction, including peaks in the hippocampus (T = 6.05, family-wise error p = 0.000008), parahippocampus, fornix and cingulate. Finally, the overall topography of our data-driven MS memory circuit matched our a priori stroke-derived memory circuit. CONCLUSIONS Lesion locations associated with memory dysfunction in MS map onto a specific brain circuit centered on the hippocampus. Lesion damage to this circuit fully mediated associations between lesion volume and memory. A circuit-based approach to mapping MS symptoms based on lesions visible on standard structural imaging may prove useful for localization and prognosis of higher order deficits in MS.
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Affiliation(s)
- Isaiah Kletenik
- Division of Cognitive and Behavioral Neurology, Brigham and Women's Hospital, 60 Fenwood Road, 9016H, Boston, MA, 02115, USA.
- Department of Neurology, Brigham and Women's Hospital, Boston, USA.
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, USA.
- Harvard Medical School, Boston, MA, USA.
| | - Alexander L Cohen
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, USA
- Harvard Medical School, Boston, MA, USA
- Department of Neurology, Boston Children's Hospital, Boston, MA, USA
- Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Boston, MA, USA
| | - Bonnie I Glanz
- Brigham Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School Boston, Boston, MA, USA
| | - Michael A Ferguson
- Department of Neurology, Brigham and Women's Hospital, Boston, USA
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, USA
- Harvard Medical School, Boston, MA, USA
| | - Shahamat Tauhid
- Department of Neurology, Brigham and Women's Hospital, Boston, USA
| | - Jing Li
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, USA
| | - William Drew
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, USA
| | - Mariann Polgar-Turcsanyi
- Brigham Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School Boston, Boston, MA, USA
| | - Miklos Palotai
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | - Shan H Siddiqi
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, USA
- Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA
| | - Gad A Marshall
- Division of Cognitive and Behavioral Neurology, Brigham and Women's Hospital, 60 Fenwood Road, 9016H, Boston, MA, 02115, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, USA
- Harvard Medical School, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Brigham and Women's Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Tanuja Chitnis
- Department of Neurology, Brigham and Women's Hospital, Boston, USA
- Harvard Medical School, Boston, MA, USA
- Brigham Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School Boston, Boston, MA, USA
| | - Charles R G Guttmann
- Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
- Center for Neurological Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Rohit Bakshi
- Department of Neurology, Brigham and Women's Hospital, Boston, USA
- Harvard Medical School, Boston, MA, USA
- Brigham Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School Boston, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | - Michael D Fox
- Division of Cognitive and Behavioral Neurology, Brigham and Women's Hospital, 60 Fenwood Road, 9016H, Boston, MA, 02115, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, USA
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, USA
- Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
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Younger E, Ellis EG, Parsons N, Pantano P, Tommasin S, Caeyenberghs K, Benito-León J, Romero JP, Joutsa J, Corp DT. Mapping Essential Tremor to a Common Brain Network Using Functional Connectivity Analysis. Neurology 2023; 101:e1483-e1494. [PMID: 37596042 PMCID: PMC10585696 DOI: 10.1212/wnl.0000000000207701] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 06/09/2023] [Indexed: 08/20/2023] Open
Abstract
BACKGROUND AND OBJECTIVES The cerebello-thalamo-cortical circuit plays a critical role in essential tremor (ET). However, abnormalities have been reported in multiple brain regions outside this circuit, leading to inconsistent characterization of ET pathophysiology. Here, we test whether these mixed findings in ET localize to a common functional network and whether this network has therapeutic relevance. METHODS We conducted a systematic literature search to identify studies reporting structural or metabolic brain abnormalities in ET. We then used 'coordinate network mapping,' which leverages a normative connectome (n = 1,000) of resting-state fMRI data to identify regions commonly connected to findings across all studies. To assess whether these regions may be relevant for the treatment of ET, we compared our network with a therapeutic network derived from lesions that relieved ET. Finally, we investigated whether the functional connectivity of this ET symptom network is abnormal in an independent cohort of patients with ET as compared with healthy controls. RESULTS Structural and metabolic brain abnormalities in ET were located in heterogeneous regions throughout the brain. However, these coordinates were connected to a common functional brain network, including the cerebellum, thalamus, motor cortex, precuneus, inferior parietal lobe, and insula. The cerebellum was identified as the hub of this network because it was the only brain region that was both functionally connected to the findings of over 90% of studies and significantly different in connectivity compared with a control data set of other movement disorders. This network was strikingly similar to the therapeutic network derived from lesions improving ET, with key regions aligning in the thalamus and cerebellum. Furthermore, positive functional connectivity between the cerebellar network hub and the sensorimotor cortices was significantly reduced in patients with ET compared with healthy controls, and connectivity within this network was correlated with tremor severity and cognitive functioning. DISCUSSION These findings suggest that the cerebellum is the central hub of a network commonly connected to structural and metabolic abnormalities in ET. This network may have therapeutic utility in refining and informing new targets for neuromodulation of ET.
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Affiliation(s)
- Ellen Younger
- From the Cognitive Neuroscience Unit (E.Y., E.G.E., N.P., K.C., D.T.C.), School of Psychology, Deakin University, Geelong, Australia; Human Neuroscience (P.P., S.T.), Sapienza University of Rome; IRCCS NEUROMED (P.P.), Pozzilli, Italy; Department of Neurology (J.B.-L.) and Research Institute (i+12), University Hospital "12 de Octubre"; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED) (J.B.-L.); Department of Medicine (J.B.-L.), Complutense University; Facultad de Ciencias Experimentales (J.P.R.), Universidad Francisco de Vitoria; Brain Damage Unit (J.P.R.), Hospital Beata María Ana, Madrid, Spain; Turku Brain and Mind Center (J.J.), Clinical Neurosciences, University of Turku; Turku PET Centre (J.J.), Neurocenter, Turku University Hospital, Finland; and Center for Brain Circuit Therapeutics (D.T.C.), Department of Neurology, Psychiatry, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
| | - Elizabeth G Ellis
- From the Cognitive Neuroscience Unit (E.Y., E.G.E., N.P., K.C., D.T.C.), School of Psychology, Deakin University, Geelong, Australia; Human Neuroscience (P.P., S.T.), Sapienza University of Rome; IRCCS NEUROMED (P.P.), Pozzilli, Italy; Department of Neurology (J.B.-L.) and Research Institute (i+12), University Hospital "12 de Octubre"; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED) (J.B.-L.); Department of Medicine (J.B.-L.), Complutense University; Facultad de Ciencias Experimentales (J.P.R.), Universidad Francisco de Vitoria; Brain Damage Unit (J.P.R.), Hospital Beata María Ana, Madrid, Spain; Turku Brain and Mind Center (J.J.), Clinical Neurosciences, University of Turku; Turku PET Centre (J.J.), Neurocenter, Turku University Hospital, Finland; and Center for Brain Circuit Therapeutics (D.T.C.), Department of Neurology, Psychiatry, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Nicholas Parsons
- From the Cognitive Neuroscience Unit (E.Y., E.G.E., N.P., K.C., D.T.C.), School of Psychology, Deakin University, Geelong, Australia; Human Neuroscience (P.P., S.T.), Sapienza University of Rome; IRCCS NEUROMED (P.P.), Pozzilli, Italy; Department of Neurology (J.B.-L.) and Research Institute (i+12), University Hospital "12 de Octubre"; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED) (J.B.-L.); Department of Medicine (J.B.-L.), Complutense University; Facultad de Ciencias Experimentales (J.P.R.), Universidad Francisco de Vitoria; Brain Damage Unit (J.P.R.), Hospital Beata María Ana, Madrid, Spain; Turku Brain and Mind Center (J.J.), Clinical Neurosciences, University of Turku; Turku PET Centre (J.J.), Neurocenter, Turku University Hospital, Finland; and Center for Brain Circuit Therapeutics (D.T.C.), Department of Neurology, Psychiatry, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Patrizia Pantano
- From the Cognitive Neuroscience Unit (E.Y., E.G.E., N.P., K.C., D.T.C.), School of Psychology, Deakin University, Geelong, Australia; Human Neuroscience (P.P., S.T.), Sapienza University of Rome; IRCCS NEUROMED (P.P.), Pozzilli, Italy; Department of Neurology (J.B.-L.) and Research Institute (i+12), University Hospital "12 de Octubre"; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED) (J.B.-L.); Department of Medicine (J.B.-L.), Complutense University; Facultad de Ciencias Experimentales (J.P.R.), Universidad Francisco de Vitoria; Brain Damage Unit (J.P.R.), Hospital Beata María Ana, Madrid, Spain; Turku Brain and Mind Center (J.J.), Clinical Neurosciences, University of Turku; Turku PET Centre (J.J.), Neurocenter, Turku University Hospital, Finland; and Center for Brain Circuit Therapeutics (D.T.C.), Department of Neurology, Psychiatry, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Silvia Tommasin
- From the Cognitive Neuroscience Unit (E.Y., E.G.E., N.P., K.C., D.T.C.), School of Psychology, Deakin University, Geelong, Australia; Human Neuroscience (P.P., S.T.), Sapienza University of Rome; IRCCS NEUROMED (P.P.), Pozzilli, Italy; Department of Neurology (J.B.-L.) and Research Institute (i+12), University Hospital "12 de Octubre"; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED) (J.B.-L.); Department of Medicine (J.B.-L.), Complutense University; Facultad de Ciencias Experimentales (J.P.R.), Universidad Francisco de Vitoria; Brain Damage Unit (J.P.R.), Hospital Beata María Ana, Madrid, Spain; Turku Brain and Mind Center (J.J.), Clinical Neurosciences, University of Turku; Turku PET Centre (J.J.), Neurocenter, Turku University Hospital, Finland; and Center for Brain Circuit Therapeutics (D.T.C.), Department of Neurology, Psychiatry, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Karen Caeyenberghs
- From the Cognitive Neuroscience Unit (E.Y., E.G.E., N.P., K.C., D.T.C.), School of Psychology, Deakin University, Geelong, Australia; Human Neuroscience (P.P., S.T.), Sapienza University of Rome; IRCCS NEUROMED (P.P.), Pozzilli, Italy; Department of Neurology (J.B.-L.) and Research Institute (i+12), University Hospital "12 de Octubre"; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED) (J.B.-L.); Department of Medicine (J.B.-L.), Complutense University; Facultad de Ciencias Experimentales (J.P.R.), Universidad Francisco de Vitoria; Brain Damage Unit (J.P.R.), Hospital Beata María Ana, Madrid, Spain; Turku Brain and Mind Center (J.J.), Clinical Neurosciences, University of Turku; Turku PET Centre (J.J.), Neurocenter, Turku University Hospital, Finland; and Center for Brain Circuit Therapeutics (D.T.C.), Department of Neurology, Psychiatry, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Julián Benito-León
- From the Cognitive Neuroscience Unit (E.Y., E.G.E., N.P., K.C., D.T.C.), School of Psychology, Deakin University, Geelong, Australia; Human Neuroscience (P.P., S.T.), Sapienza University of Rome; IRCCS NEUROMED (P.P.), Pozzilli, Italy; Department of Neurology (J.B.-L.) and Research Institute (i+12), University Hospital "12 de Octubre"; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED) (J.B.-L.); Department of Medicine (J.B.-L.), Complutense University; Facultad de Ciencias Experimentales (J.P.R.), Universidad Francisco de Vitoria; Brain Damage Unit (J.P.R.), Hospital Beata María Ana, Madrid, Spain; Turku Brain and Mind Center (J.J.), Clinical Neurosciences, University of Turku; Turku PET Centre (J.J.), Neurocenter, Turku University Hospital, Finland; and Center for Brain Circuit Therapeutics (D.T.C.), Department of Neurology, Psychiatry, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Juan Pablo Romero
- From the Cognitive Neuroscience Unit (E.Y., E.G.E., N.P., K.C., D.T.C.), School of Psychology, Deakin University, Geelong, Australia; Human Neuroscience (P.P., S.T.), Sapienza University of Rome; IRCCS NEUROMED (P.P.), Pozzilli, Italy; Department of Neurology (J.B.-L.) and Research Institute (i+12), University Hospital "12 de Octubre"; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED) (J.B.-L.); Department of Medicine (J.B.-L.), Complutense University; Facultad de Ciencias Experimentales (J.P.R.), Universidad Francisco de Vitoria; Brain Damage Unit (J.P.R.), Hospital Beata María Ana, Madrid, Spain; Turku Brain and Mind Center (J.J.), Clinical Neurosciences, University of Turku; Turku PET Centre (J.J.), Neurocenter, Turku University Hospital, Finland; and Center for Brain Circuit Therapeutics (D.T.C.), Department of Neurology, Psychiatry, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Juho Joutsa
- From the Cognitive Neuroscience Unit (E.Y., E.G.E., N.P., K.C., D.T.C.), School of Psychology, Deakin University, Geelong, Australia; Human Neuroscience (P.P., S.T.), Sapienza University of Rome; IRCCS NEUROMED (P.P.), Pozzilli, Italy; Department of Neurology (J.B.-L.) and Research Institute (i+12), University Hospital "12 de Octubre"; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED) (J.B.-L.); Department of Medicine (J.B.-L.), Complutense University; Facultad de Ciencias Experimentales (J.P.R.), Universidad Francisco de Vitoria; Brain Damage Unit (J.P.R.), Hospital Beata María Ana, Madrid, Spain; Turku Brain and Mind Center (J.J.), Clinical Neurosciences, University of Turku; Turku PET Centre (J.J.), Neurocenter, Turku University Hospital, Finland; and Center for Brain Circuit Therapeutics (D.T.C.), Department of Neurology, Psychiatry, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Daniel T Corp
- From the Cognitive Neuroscience Unit (E.Y., E.G.E., N.P., K.C., D.T.C.), School of Psychology, Deakin University, Geelong, Australia; Human Neuroscience (P.P., S.T.), Sapienza University of Rome; IRCCS NEUROMED (P.P.), Pozzilli, Italy; Department of Neurology (J.B.-L.) and Research Institute (i+12), University Hospital "12 de Octubre"; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED) (J.B.-L.); Department of Medicine (J.B.-L.), Complutense University; Facultad de Ciencias Experimentales (J.P.R.), Universidad Francisco de Vitoria; Brain Damage Unit (J.P.R.), Hospital Beata María Ana, Madrid, Spain; Turku Brain and Mind Center (J.J.), Clinical Neurosciences, University of Turku; Turku PET Centre (J.J.), Neurocenter, Turku University Hospital, Finland; and Center for Brain Circuit Therapeutics (D.T.C.), Department of Neurology, Psychiatry, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
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12
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Segal A, Parkes L, Aquino K, Kia SM, Wolfers T, Franke B, Hoogman M, Beckmann CF, Westlye LT, Andreassen OA, Zalesky A, Harrison BJ, Davey CG, Soriano-Mas C, Cardoner N, Tiego J, Yücel M, Braganza L, Suo C, Berk M, Cotton S, Bellgrove MA, Marquand AF, Fornito A. Regional, circuit and network heterogeneity of brain abnormalities in psychiatric disorders. Nat Neurosci 2023; 26:1613-1629. [PMID: 37580620 PMCID: PMC10471501 DOI: 10.1038/s41593-023-01404-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 07/13/2023] [Indexed: 08/16/2023]
Abstract
The substantial individual heterogeneity that characterizes people with mental illness is often ignored by classical case-control research, which relies on group mean comparisons. Here we present a comprehensive, multiscale characterization of the heterogeneity of gray matter volume (GMV) differences in 1,294 cases diagnosed with one of six conditions (attention-deficit/hyperactivity disorder, autism spectrum disorder, bipolar disorder, depression, obsessive-compulsive disorder and schizophrenia) and 1,465 matched controls. Normative models indicated that person-specific deviations from population expectations for regional GMV were highly heterogeneous, affecting the same area in <7% of people with the same diagnosis. However, these deviations were embedded within common functional circuits and networks in up to 56% of cases. The salience-ventral attention system was implicated transdiagnostically, with other systems selectively involved in depression, bipolar disorder, schizophrenia and attention-deficit/hyperactivity disorder. Phenotypic differences between cases assigned the same diagnosis may thus arise from the heterogeneous localization of specific regional deviations, whereas phenotypic similarities may be attributable to the dysfunction of common functional circuits and networks.
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Affiliation(s)
- Ashlea Segal
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia.
- Monash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia.
| | - Linden Parkes
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, Rutgers University, Piscataway, NJ, USA
| | - Kevin Aquino
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
- Monash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia
- School of Physics, University of Sydney, Sydney, New South Wales, Australia
- BrainKey Inc, Palo alto, CA, USA
| | - Seyed Mostafa Kia
- Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Department of Psychiatry, University Medical Center Utrecht, Utrecht, the Netherlands
- Department of Cognitive Science and Artificial Intelligence, Tilburg University, Tilburg, the Netherlands
| | - Thomas Wolfers
- Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health (TÜCMH), University of Tübingen, Tübingen, Germany
| | - Barbara Franke
- Department of Psychiatry, Donders Institute of Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Human Genetics, Donders Institute of Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Martine Hoogman
- Department of Psychiatry, Donders Institute of Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Human Genetics, Donders Institute of Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Christian F Beckmann
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, the Netherlands
- Centre for Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Lars T Westlye
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Andrew Zalesky
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Melbourne, Victoria, Australia
- Department of Biomedical Engineering, The University of Melbourne, Melbourne, Victoria, Australia
| | - Ben J Harrison
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Melbourne, Victoria, Australia
| | - Christopher G Davey
- Department of Psychiatry, University of Melbourne, Melbourne, Victoria, Australia
| | - Carles Soriano-Mas
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Carlos III Health Institute, Madrid, Spain
- Department of Social Psychology and Quantitative Psychology, Universitat de Barcelona, Barcelona, Spain
| | - Narcís Cardoner
- Centro de Investigación Biomédica en Red de Salud Mental, Carlos III Health Institute, Madrid, Spain
- Sant Pau Mental Health Research Group, Institut d'Investigació Biomèdica Sant Pau, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jeggan Tiego
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
- Monash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia
| | - Murat Yücel
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Leah Braganza
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
| | - Chao Suo
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
- Monash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia
- Australian Characterisation Commons at Scale (ACCS) Project, Monash eResearch Centre, Melbourne, Victoria, Australia
| | - Michael Berk
- Institute for Mental and Physical Health and Clinical Translation School of Medicine, Deakin University, Geelong, Victoria, Australia
- Orygen, Melbourne, Victoria, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Victoria, Australia
- Florey Institute for Neuroscience and Mental Health, Parkville, Victoria, Australia
| | - Sue Cotton
- Orygen, Melbourne, Victoria, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Mark A Bellgrove
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
| | - Andre F Marquand
- Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, the Netherlands
- Department of Neuroimaging, Centre of Neuroimaging Sciences, Institute of Psychiatry, King's College London, London, UK
| | - Alex Fornito
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia.
- Monash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia.
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13
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Nabizadeh F, Aarabi MH. Functional and structural lesion network mapping in neurological and psychiatric disorders: a systematic review. Front Neurol 2023; 14:1100067. [PMID: 37456650 PMCID: PMC10349201 DOI: 10.3389/fneur.2023.1100067] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 06/21/2023] [Indexed: 07/18/2023] Open
Abstract
Background The traditional approach to studying the neurobiological mechanisms of brain disorders and localizing brain function involves identifying brain abnormalities and comparing them to matched controls. This method has been instrumental in clinical neurology, providing insight into the functional roles of different brain regions. However, it becomes challenging when lesions in diverse regions produce similar symptoms. To address this, researchers have begun mapping brain lesions to functional or structural networks, a process known as lesion network mapping (LNM). This approach seeks to identify common brain circuits associated with lesions in various areas. In this review, we focus on recent studies that have utilized LNM to map neurological and psychiatric symptoms, shedding light on how this method enhances our understanding of brain network functions. Methods We conducted a systematic search of four databases: PubMed, Scopus, and Web of Science, using the term "Lesion network mapping." Our focus was on observational studies that applied lesion network mapping in the context of neurological and psychiatric disorders. Results Following our screening process, we included 52 studies, comprising a total of 6,814 subjects, in our systematic review. These studies, which utilized functional connectivity, revealed several regions and network overlaps across various movement and psychiatric disorders. For instance, the cerebellum was found to be part of a common network for conditions such as essential tremor relief, parkinsonism, Holmes tremor, freezing of gait, cervical dystonia, infantile spasms, and tics. Additionally, the thalamus was identified as part of a common network for essential tremor relief, Holmes tremor, and executive function deficits. The dorsal attention network was significantly associated with fall risk in elderly individuals and parkinsonism. Conclusion LNM has proven to be a powerful tool in localizing a broad range of neuropsychiatric, behavioral, and movement disorders. It holds promise in identifying new treatment targets through symptom mapping. Nonetheless, the validity of these approaches should be confirmed by more comprehensive prospective studies.
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Affiliation(s)
- Fardin Nabizadeh
- Neuroscience Research Group (NRG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
- School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Mohammad Hadi Aarabi
- Department of Neuroscience and Padova Neuroscience Center (PNC), University of Padova, Padua, Italy
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14
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Klingbeil J, Brandt ML, Stockert A, Baum P, Hoffmann KT, Saur D, Wawrzyniak M. Associations of lesion location, structural disconnection, and functional diaschisis with depressive symptoms post stroke. Front Neurol 2023; 14:1144228. [PMID: 37265471 PMCID: PMC10231644 DOI: 10.3389/fneur.2023.1144228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 04/20/2023] [Indexed: 06/03/2023] Open
Abstract
Introduction Post-stroke depressive symptoms (PSDS) are common and relevant for patient outcome, but their complex pathophysiology is ill understood. It likely involves social, psychological and biological factors. Lesion location is a readily available information in stroke patients, but it is unclear if the neurobiological substrates of PSDS are spatially localized. Building on previous analyses, we sought to determine if PSDS are associated with specific lesion locations, structural disconnection and/or localized functional diaschisis. Methods In a prospective observational study, we examined 270 patients with first-ever stroke with the Hospital Anxiety and Depression Scale (HADS) around 6 months post-stroke. Based on individual lesion locations and the depression subscale of the HADS we performed support vector regression lesion-symptom mapping, structural-disconnection-symptom mapping and functional lesion network-symptom-mapping, in a reanalysis of this previously published cohort to infer structure-function relationships. Results We found that depressive symptoms were associated with (i) lesions in the right insula, right putamen, inferior frontal gyrus and right amygdala and (ii) structural disconnection in the right temporal lobe. In contrast, we found no association with localized functional diaschisis. In addition, we were unable to confirm a previously described association between depressive symptom load and a network damage score derived from functional disconnection maps. Discussion Based on our results, and other recent lesion studies, we see growing evidence for a prominent role of right frontostriatal brain circuits in PSDS.
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Affiliation(s)
- Julian Klingbeil
- Neuroimaging Laboratory, Department of Neurology, University of Leipzig Medical Center, Leipzig, Germany
| | - Max-Lennart Brandt
- Neuroimaging Laboratory, Department of Neurology, University of Leipzig Medical Center, Leipzig, Germany
| | - Anika Stockert
- Neuroimaging Laboratory, Department of Neurology, University of Leipzig Medical Center, Leipzig, Germany
| | - Petra Baum
- Department of Neurology, University of Leipzig Medical Center, Leipzig, Germany
| | - Karl-Titus Hoffmann
- Department of Neuroradiology, University of Leipzig Medical Center, Leipzig, Germany
| | - Dorothee Saur
- Neuroimaging Laboratory, Department of Neurology, University of Leipzig Medical Center, Leipzig, Germany
| | - Max Wawrzyniak
- Neuroimaging Laboratory, Department of Neurology, University of Leipzig Medical Center, Leipzig, Germany
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Corp DT, Morrison-Ham J, Jinnah HA, Joutsa J. The functional anatomy of dystonia: Recent developments. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2023; 169:105-136. [PMID: 37482390 DOI: 10.1016/bs.irn.2023.04.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
While dystonia has traditionally been viewed as a disorder of the basal ganglia, the involvement of other key brain structures is now accepted. However, just what these structures are remains to be defined. Neuroimaging has been an especially valuable tool in dystonia, yet traditional cross-sectional designs have not been able to separate causal from compensatory brain activity. Therefore, this chapter discusses recent studies using causal brain lesions, and animal models, to converge upon the brain regions responsible for dystonia with increasing precision. This evidence strongly implicates the basal ganglia, thalamus, brainstem, cerebellum, and somatosensory cortex, yet shows that different types of dystonia involve different nodes of this brain network. Nearly all of these nodes fall within the recently identified two-way networks connecting the basal ganglia and cerebellum, suggesting dysfunction of these specific pathways. Localisation of the functional anatomy of dystonia has strong implications for targeted treatment options, such as deep brain stimulation, and non-invasive brain stimulation.
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Affiliation(s)
- Daniel T Corp
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia; Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, MA, United States.
| | - Jordan Morrison-Ham
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia
| | - H A Jinnah
- Departments of Neurology, Human Genetics, and Pediatrics, Atlanta, GA, United States
| | - Juho Joutsa
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, MA, United States; Turku Brain and Mind Center, Clinical Neurosciences, University of Turku, Turku, Finland; Turku PET Centre, Neurocenter, Turku University Hospital, Turku, Finland
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16
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Zouki JJ, Ellis EG, Morrison-Ham J, Thomson P, Jesuthasan A, Al-Fatly B, Joutsa J, Silk TJ, Corp DT. Mapping a network for tics in Tourette syndrome using causal lesions and structural alterations. Brain Commun 2023; 5:fcad105. [PMID: 37215485 PMCID: PMC10198704 DOI: 10.1093/braincomms/fcad105] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 01/29/2023] [Accepted: 04/02/2023] [Indexed: 05/24/2023] Open
Abstract
Tics are sudden stereotyped movements or vocalizations. Cases of lesion-induced tics are invaluable, allowing for causal links between symptoms and brain structures. While a lesion network for tics has recently been identified, the degree to which this network translates to Tourette syndrome has not been fully elucidated. This is important given that patients with Tourette syndrome make up a large portion of tic cases; therefore, existing and future treatments should apply to these patients. The aim of this study was to first localize a causal network for tics from lesion-induced cases and then refine and validate this network in patients with Tourette syndrome. We independently performed 'lesion network mapping' using a large normative functional connectome (n = 1000) to isolate a brain network commonly connected to lesions causing tics (n = 19) identified through a systematic search. The specificity of this network to tics was assessed through comparison to lesions causing other movement disorders. Using structural brain coordinates from prior neuroimaging studies (n = 7), we then derived a neural network for Tourette syndrome. This was done using standard anatomical likelihood estimation meta-analysis and a novel method termed 'coordinate network mapping', which uses the same coordinates, yet maps their connectivity using the aforementioned functional connectome. Conjunction analysis was used to refine the network for lesion-induced tics to Tourette syndrome by identifying regions common to both lesion and structural networks. We then tested whether connectivity from this common network is abnormal in a separate resting-state functional connectivity MRI data set from idiopathic Tourette syndrome patients (n = 21) and healthy controls (n = 25). Results showed that lesions causing tics were distributed throughout the brain; however, consistent with a recent study, these were part of a common network with predominant basal ganglia connectivity. Using conjunction analysis, coordinate network mapping findings refined the lesion network to the posterior putamen, caudate nucleus, globus pallidus externus (positive connectivity) and precuneus (negative connectivity). Functional connectivity from this positive network to frontal and cingulate regions was abnormal in patients with idiopathic Tourette syndrome. These findings identify a network derived from lesion-induced and idiopathic data, providing insight into the pathophysiology of tics in Tourette syndrome. Connectivity to our cortical cluster in the precuneus offers an exciting opportunity for non-invasive brain stimulation protocols.
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Affiliation(s)
- Jade-Jocelyne Zouki
- Correspondence to: Jade-Jocelyne Zouki Cognitive Neuroscience Unit School of Psychology, Deakin University 221 Burwood Hwy, Burwood, VIC 3125, Australia E-mail:
| | - Elizabeth G Ellis
- Centre for Social and Early Emotional Development and School of Psychology, Deakin University, Geelong VIC 3220, Australia
| | - Jordan Morrison-Ham
- Centre for Social and Early Emotional Development and School of Psychology, Deakin University, Geelong VIC 3220, Australia
| | - Phoebe Thomson
- Department of Paediatrics, The University of Melbourne, Melbourne VIC 3010, Australia
- Developmental Imaging, Murdoch Children’s Research Institute, Melbourne VIC 3052, Australia
- Autism Center, Child Mind Institute, New York NY 10022, USA
| | - Aaron Jesuthasan
- Neurology Department, Charing Cross Hospital, Imperial College Healthcare NHS Trust, London W6 8RF, UK
| | - Bassam Al-Fatly
- Department of Neurology with Experimental Neurology, Charité—Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Juho Joutsa
- Turku Brain and Mind Center, Clinical Neurosciences, University of Turku, Turku, FI-20014, Finland
- Turku PET Centre, Neurocenter, Turku University Hospital, Turku, FI-20520, Finland
| | | | - Daniel T Corp
- Correspondence may also be addressed to: Daniel T. Corp E-mail:
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Multimodal and multidomain lesion network mapping enhances prediction of sensorimotor behavior in stroke patients. Sci Rep 2022; 12:22400. [PMID: 36575263 PMCID: PMC9794717 DOI: 10.1038/s41598-022-26945-x] [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: 05/10/2022] [Accepted: 12/22/2022] [Indexed: 12/28/2022] Open
Abstract
Beyond the characteristics of a brain lesion, such as its etiology, size or location, lesion network mapping (LNM) has shown that similar symptoms after a lesion reflects similar dis-connectivity patterns, thereby linking symptoms to brain networks. Here, we extend LNM by using a multimodal strategy, combining functional and structural networks from 1000 healthy participants in the Human Connectome Project. We apply multimodal LNM to a cohort of 54 stroke patients with the aim of predicting sensorimotor behavior, as assessed through a combination of motor and sensory tests. Results are two-fold. First, multimodal LNM reveals that the functional modality contributes more than the structural one in the prediction of sensorimotor behavior. Second, when looking at each modality individually, the performance of the structural networks strongly depended on whether sensorimotor performance was corrected for lesion size, thereby eliminating the effect that larger lesions generally produce more severe sensorimotor impairment. In contrast, functional networks provided similar performance regardless of whether or not the effect of lesion size was removed. Overall, these results support the extension of LNM to its multimodal form, highlighting the synergistic and additive nature of different types of network modalities, and their corresponding influence on behavioral performance after brain injury.
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Yuan T, Zuo Z, Xu J. Lesions causing central sleep apnea localize to one common brain network. Front Neuroanat 2022; 16:819412. [PMID: 36249869 PMCID: PMC9559371 DOI: 10.3389/fnana.2022.819412] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Accepted: 09/13/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectivesTo characterize the specific brain regions for central sleep apnea (CSA) and identify its functional connectivity network.MethodsWe performed a literature search and identified 27 brain injuries causing CSA. We used a recently validated methodology termed “lesion network mapping” to identify the functional brain network subtending the pathophysiology of CSA. Two separate statistical approaches, the two-sample t-test and the Liebermeister test, were used to evaluate the specificity of this network for CSA through a comparison of our results with those of two other neurological syndromes. An additional independent cohort of six CSA cases was used to assess reproducibility.ResultsOur results showed that, despite lesions causing CSA being heterogeneous for brain localization, they share a common brain network defined by connectivity to the middle cingulate gyrus and bilateral cerebellar posterior lobes. This CSA-associated connectivity pattern was unique when compared with lesions causing the other two neurological syndromes. The CAS-specific regions were replicated by the additional independent cohort of six CSA cases. Finally, we found that all lesions causing CSA aligned well with the network defined by connectivity to the cingulate gyrus and bilateral cerebellar posterior lobes.ConclusionOur results suggest that brain injuries responsible for CSA are part of a common brain network defined by connectivity to the middle cingulate gyrus and bilateral cerebellar posterior lobes, lending insight into the neuroanatomical substrate of CSA.
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Affiliation(s)
- Taoyang Yuan
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Zhentao Zuo
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- Hefei Comprehensive National Science Center, Institute of Artificial Intelligence, Hefei, China
- University of Chinese Academy of Sciences, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- *Correspondence: Zhentao Zuo
| | - Jianguo Xu
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
- Jianguo Xu
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