Brain Mapping Using Neuroimaging
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Challenges and Techniques for Presurgical Brain Mapping with Functional MRI
Challenges and techniques for presurgical brain mapping with functional MRI The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Silva, Michael A., Alfred P. See, Walid I. Essayed, Alexandra J. Golby, and Yanmei Tie. 2017. “Challenges and techniques for presurgical brain mapping with functional MRI.” NeuroImage : Clinical 17 (1): 794-803. doi:10.1016/j.nicl.2017.12.008. http://dx.doi.org/10.1016/ j.nicl.2017.12.008. Published Version doi:10.1016/j.nicl.2017.12.008 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:34651769 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA NeuroImage: Clinical 17 (2018) 794–803 Contents lists available at ScienceDirect NeuroImage: Clinical journal homepage: www.elsevier.com/locate/ynicl Challenges and techniques for presurgical brain mapping with functional T MRI ⁎ Michael A. Silvaa,b, Alfred P. Seea,b, Walid I. Essayeda,b, Alexandra J. Golbya,b,c, Yanmei Tiea,b, a Harvard Medical School, Boston, MA, USA b Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA c Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA ABSTRACT Functional magnetic resonance imaging (fMRI) is increasingly used for preoperative counseling and planning, and intraoperative guidance for tumor resection in the eloquent cortex. Although there have been improvements in image resolution and artifact correction, there are still limitations of this modality. -
Functional Brain Mapping and Neuromodulation Enhanced
In non-clinical populations, brain mapping Neurofeedback and tDCS are also being used to enhance performance and cognitive functions such as reaction time and decision speed in individuals who are functioning in highly-competitive environments. For additional information on these and other recently developed diagnostic tests, treatment interventions and peak performance training, please call The NeuroCognitive Institute and schedule a consultation. One of Many Scientific References on Functional Brain Mapping and Neuromodulation Functional Brain Mapping and the Endeavor to Understand the Working Brain: Signorelli and Chirchiglia (2013). Mind Over Chatter: Plastic up-regulation of the fMRI salience network directly after EEG Neurofeedback. Neuroimage, 65, 324-335 About The NeuroCognitive Institute Established in 1994, The NeuroCognitive Institute is committed to its scientist-practitioner model which requires its clinicians to remain ac- tively involved in neuroscience research. Over the past two decades, NCI has become one of the premiere centers in New Jersey for the diag- nosis and treatment of cognitive and related neurobehavioral and neuro- psychiatric disorders. The team consists of clinical and cognitive neuro- psychologists, cognitive and behavioral neurologists, clinical psycholo- gists, neuropsychiatrists, cognitive and speech and language therapists, as well as, behaviorists, psychotherapists and neuromodulation clini- cians. Locations Morris County: 111 Howard Blvd., Suites 204-205, Mt. Arlington, NJ 07856 Somerset County: Medical Plaza Building., 1 Robertson Drive, Suite 22, Bedminster, NJ 07921 Essex County: Barnabas Health Ambulatory Care Center, Suite 270, Functional Brain Mapping and 200 South Orange Avenue, Livingston, NJ 07039 Neuromodulation Enhanced Contact Us Phone: 973.601.0100 Cognitive Rehabilitation Fax: 973.440.1656 Email: [email protected] Web: neuroci.com We can use functional brain mapping results to identify treatment targets. -
Tor Wager Diana L
Tor Wager Diana L. Taylor Distinguished Professor of Psychological and Brain Sciences Dartmouth College Email: [email protected] https://wagerlab.colorado.edu Last Updated: July, 2019 Executive summary ● Appointments: Faculty since 2004, starting as Assistant Professor at Columbia University. Associate Professor in 2009, moved to University of Colorado, Boulder in 2010; Professor since 2014. 2019-Present: Diana L. Taylor Distinguished Professor of Psychological and Brain Sciences at Dartmouth College. ● Publications: 240 publications with >50,000 total citations (Google Scholar), 11 papers cited over 1000 times. H-index = 79. Journals include Science, Nature, New England Journal of Medicine, Nature Neuroscience, Neuron, Nature Methods, PNAS, Psychological Science, PLoS Biology, Trends in Cognitive Sciences, Nature Reviews Neuroscience, Nature Reviews Neurology, Nature Medicine, Journal of Neuroscience. ● Funding: Currently principal investigator on 3 NIH R01s, and co-investigator on other collaborative grants. Past funding sources include NIH, NSF, Army Research Institute, Templeton Foundation, DoD. P.I. on 4 R01s, 1 R21, 1 RC1, 1 NSF. ● Awards: Awards include NSF Graduate Fellowship, MacLean Award from American Psychosomatic Society, Colorado Faculty Research Award, “Rising Star” from American Psychological Society, Cognitive Neuroscience Society Young Investigator Award, Web of Science “Highly Cited Researcher”, Fellow of American Psychological Society. Two patents on research products. ● Outreach: >300 invited talks at universities/international conferences since 2005. Invited talks in Psychology, Neuroscience, Cognitive Science, Psychiatry, Neurology, Anesthesiology, Radiology, Medical Anthropology, Marketing, and others. Media outreach: Featured in New York Times, The Economist, NPR (Science Friday and Radiolab), CBS Evening News, PBS special on healing, BBC, BBC Horizons, Fox News, 60 Minutes, others. -
Cognitive & Affective Neuroscience
Cognitive & Affective Neuroscience: From Circuitry to Network and Behavior Monday, Jun 18: 8:00 AM - 9:15 AM 1835 Symposium Monday - Symposia AM Using a multi-disciplinary approach integrating cognitive, EEG/ERP and fMRI techniques and advanced analytic methods, the four speakers in this symposium investigate neurocognitive processes underlying nuanced cognitive and affective functions in humans. the neural basis of changing social norms through persuasion using carefully designed behavioral paradigms and functional MRI technique; Yuejia Luo will describe how high temporal resolution EEG/ERPs predict dynamical profiles of distinct neurocognitive stages involved in emotional negativity bias and its reciprocal interactions with executive functions such as working memory; Yongjun Yu conducts innovative behavioral experiments in conjunction with fMRI and computational modeling approaches to dissociate interactive neural signals involved in affective decision making; and Shaozheng Qin applies fMRI with simultaneous recording skin conductance and advanced analytic approaches (i.e., MVPA, network dynamics) to determine neural representational patterns and subjects can modulate resting state networks, and also uses graph theory network activity levels to delineate dynamic changes in large-scale brain network interactions involved in complex interplay of attention, emotion, memory and executive systems. These talks will provide perspectives on new ways to study brain circuitry and networks underlying interactions between affective and cognitive functions and how to best link the insights from behavioral experiments and neuroimaging studies. Objective Having accomplished this symposium or workshop, participants will be able to: 1. Learn about the latest progress of innovative research in the field of cognitive and affective neuroscience; 2. Learn applications of multimodal brain imaging techniques (i.e., EEG/ERP, fMRI) into understanding human cognitive and affective functions in different populations. -
Circular Representation of Human Cortical Networks for Subject and Population-Level Connectomic Visualization
NeuroImage 60 (2012) 1340–1351 Contents lists available at SciVerse ScienceDirect NeuroImage journal homepage: www.elsevier.com/locate/ynimg Full Length Articles Circular representation of human cortical networks for subject and population-level connectomic visualization Andrei Irimia ⁎, Micah C. Chambers, Carinna M. Torgerson, John D. Van Horn Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, 635 Charles E Young Drive South, Suite 225, Los Angeles, CA 90095, USA article info abstract Article history: Cortical network architecture has predominantly been investigated visually using graph theory representa- Received 13 September 2011 tions. In the context of human connectomics, such representations are not however always satisfactory Revised 19 January 2012 because canonical methods for vertex–edge relationship representation do not always offer optimal insight Accepted 20 January 2012 regarding functional and structural neural connectivity. This article introduces an innovative framework for Available online 28 January 2012 the depiction of human connectomics by employing a circular visualization method which is highly suitable to the exploration of central nervous system architecture. This type of representation, which we name a Keywords: ‘ ’ Connectomics connectogram , has the capability of classifying neuroconnectivity relationships intuitively and elegantly. A Cortical network multimodal protocol for MRI/DTI neuroimaging data acquisition is here combined with automatic image seg- DTI mentation to (1) extract cortical and non-cortical anatomical structures, (2) calculate associated volumetrics MRI and morphometrics, and (3) determine patient-specific connectivity profiles to generate subject-level and Neuroimaging population-level connectograms. The scalability of our approach is demonstrated for a population of 50 adults. -
Progress and Challenges in Probing the Human Brain
University of Pennsylvania ScholarlyCommons Neuroethics Publications Center for Neuroscience & Society 10-2015 Progress and Challenges in Probing the Human Brain Russell A. Poldrack Martha J. Farah University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/neuroethics_pubs Part of the Bioethics and Medical Ethics Commons, Neuroscience and Neurobiology Commons, and the Neurosciences Commons Recommended Citation Poldrack, R. A., & Farah, M. J. (2015). Progress and Challenges in Probing the Human Brain. Nature, 526 (7573), 371-379. http://dx.doi.org/10.1038/nature15692 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/neuroethics_pubs/136 For more information, please contact [email protected]. Progress and Challenges in Probing the Human Brain Abstract Perhaps one of the greatest scientific challenges is to understand the human brain. Here we review current methods in human neuroscience, highlighting the ways that they have been used to study the neural bases of the human mind. We begin with a consideration of different levels of description relevant to human neuroscience, from molecules to large-scale networks, and then review the methods that probe these levels and the ability of these methods to test hypotheses about causal mechanisms. Functional MRI is considered in particular detail, as it has been responsible for much of the recent growth of human neuroscience research. We briefly er view its inferential strengths and weaknesses and present examples of new analytic approaches that allow inferences beyond simple localization of psychological processes. Finally, we review the prospects for real-world applications and new scientific challenges for human neuroscience. -
Evolutionary Expansion of Connectivity Between Multimodal Association Areas in the Human Brain Compared with Chimpanzees,” by Dirk Jan Ardesch, Lianne H
Correction NEUROSCIENCE Correction for “Evolutionary expansion of connectivity between multimodal association areas in the human brain compared with chimpanzees,” by Dirk Jan Ardesch, Lianne H. Scholtens, Longchuan Li, Todd M. Preuss, James K. Rilling, and Martijn P. van den Heuvel, which was first published March 18, 2019; 10.1073/pnas.1818512116 (Proc Natl Acad Sci USA 116:7101–7106). The authors wish to note the following: “No new MRI data were acquired for this study. All chimpanzee MRIs were obtained from a data archive of scans obtained prior to the 2015 implementation of US Fish and Wildlife Service and National Institutes of Health regulations governing research with chimpanzees. All the scans reported in this publication were completed by the end of 2012. All chimpanzee MRI scans are part of the National Chimpanzee Brain Resource (http://www.chimpanzeebrain.org).” Published under the PNAS license. Published online April 29, 2019. www.pnas.org/cgi/doi/10.1073/pnas.1906107116 9680 | PNAS | May 7, 2019 | vol. 116 | no. 19 www.pnas.org Downloaded by guest on October 1, 2021 Evolutionary expansion of connectivity between multimodal association areas in the human brain compared with chimpanzees Dirk Jan Ardescha, Lianne H. Scholtensa, Longchuan Lib, Todd M. Preussc,d,e, James K. Rillingc,d,f,g,h, and Martijn P. van den Heuvela,i,1 aConnectome Lab, Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, 1081 HV Amsterdam, The Netherlands; bMarcus Autism Center, Children’s Healthcare of Atlanta, Emory University, Atlanta, GA 30329; cYerkes National Primate Research Center, Emory University, Atlanta, GA 30329; dCenter for Translational Social Neuroscience, Emory University, Atlanta, GA 30329; eDepartment of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA 30307; fDepartment of Anthropology, Emory University, Atlanta, GA 30322; gSilvio O. -
Acute Cognitive Deficits After Traumatic Brain Injury Predict Alzheimer's
GeroScience (2020) 42:1411–1429 https://doi.org/10.1007/s11357-020-00245-6 ORIGINAL ARTICLE Acute cognitive deficits after traumatic brain injury predict Alzheimer’s disease-like degradation of the human default mode network Andrei Irimia & Alexander S. Maher & Nikhil N. Chaudhari & Nahian F. Chowdhury & Elliot B. Jacobs & the Alzheimer’s Disease Neuroimaging Initiative Received: 9 June 2020 /Accepted: 29 July 2020 /Published online: 2 August 2020 # American Aging Association 2020 Abstract Traumatic brain injury (TBI) and Alzheimer’s are leveraged to study the extent to which geriatric mild disease (AD) are prominent neurological conditions whose TBI(mTBI)canleadtoAD-like alteration of resting-state neural and cognitive commonalities are poorly understood. activity in the default mode network (DMN). This network The extent of TBI-related neurophysiological abnormali- is found to contain modules whose extent of AD-like, ties has been hypothesized to reflect AD-like neurodegen- posttraumatic degradation can be accurately prognosticat- eration because TBI can increase vulnerability to AD. ed based on the acute cognitive deficits of geriatric mTBI However, it remains challenging to prognosticate AD risk patients with cerebral microbleeds. Aside from establish- partly because the functional relationship between acute ing a predictive physiological association between geriatric posttraumatic sequelae and chronic AD-like degradation mTBI, cognitive impairment, and AD-like functional deg- remains elusive. Here, functional magnetic resonance im- radation, these findings advance the goal of acutely fore- aging (fMRI), network theory, and machine learning (ML) casting mTBI patients’ chronic deviations from normality along AD-like functional trajectories. The association of Andrei Irimia and Alexander S. Maher contributed equally to this geriatric mTBI with AD-like changes in functional brain work. -
Patient-Tailored Connectomics Visualization for the Assessment of White Matter Atrophy in Traumatic Brain Injury
Patient-Tailored Connectomics Visualization for the Assessment of White Matter Atrophy in Traumatic Brain Injury The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Irimia, Andrei, Micah C. Chambers, Carinna M. Torgerson, Maria Filippou, David A. Hovda, Jeffry R. Alger, Guido Gerig, et al. 2012. Patient-tailored connectomics visualization for the assessment of white matter atrophy in traumatic brain injury. Frontiers in Neurology 3:10. Published Version doi://10.3389/fneur.2012.00010 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:8462352 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA METHODS ARTICLE published: 06 February 2012 doi: 10.3389/fneur.2012.00010 Patient-tailored connectomics visualization for the assessment of white matter atrophy in traumatic brain injury Andrei Irimia1, Micah C. Chambers 1, Carinna M.Torgerson1, Maria Filippou 2, David A. Hovda2, Jeffry R. Alger 3, Guido Gerig 4, Arthur W.Toga1, Paul M. Vespa2, Ron Kikinis 5 and John D. Van Horn1* 1 Laboratory of Neuro Imaging, Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA 2 Brain Injury Research Center, Departments of Neurology and Neurosurgery, University of California Los Angeles, Los Angeles, CA, USA 3 Department of Radiology, David -
Ted K. Turesky, Ph.D
Ted K. Turesky, Ph.D. [email protected] | 207-807-0962 | teddyturesky.github.io | github.com/teddyturesky EDUCATION 2021 – Present Post-Doctoral Fellowship, Developmental Cognitive Neuroscience Harvard Graduate School of Education Mentor: Nadine Gaab, Ph.D. Co-Mentor: Charles Nelson, PhD 2017 – 2020 Post-Doctoral Fellowship, Developmental Cognitive Neuroscience Boston Children’s Hospital/Harvard Medical School Mentor: Nadine Gaab, Ph.D. Co-Mentor: Charles Nelson, PhD 2012 – 2017 Ph.D., Interdisciplinary Program in Neuroscience (IPN) Georgetown University, Washington, DC Mentor: Guinevere Eden, D.Phil. 2004 – 2008 B.A., Physics Colorado College, Colorado Springs, CO HONORS AND FELLOWSHIPS 2021 Harvard Brain Initiative Transitions Award Harvard University 2019 Harvard Brain Initiative Travel Award Harvard University 2017 Karen Gale Exceptional Ph.D. Student Award in Science Georgetown University Graduate School of Arts and Sciences 2017 Medical Center Graduate Student Organization Travel Grant Georgetown University Medical Center 2015 – 2017 Neural Injury and Plasticity Pre-Doctoral Training Fellowship National Institute of Neurological Disorders and Stroke, NIH Thesis stipend, tuition, and research funds (T32, PI: Kathleen Maguire-Zeiss) 2012 – 2013 Interdisciplinary Program in Neuroscience Pre-Doc Training Fellowship National Institute of Neurological Disorders and Stroke, NIH Pre-thesis stipend, and tuition (T32, PI: Karen Gale) 2008 Transitions Fellowship for Study of Healthcare in Rural Malawi Colorado College 2007 , 2008 Dean’s List Colorado College RESEARCH EXPERIENCE 2017 – Present Post-Doctoral Fellow, Developmental Cognitive Neuroscience Harvard Graduate School of Education, Cambridge, MA Boston Children’s Hospital, Boston, MA Project: How poverty affects brain development using s/f/dMRI 1 Ted K. Turesky 2012 – 2017 Ph.D. -
BRAIN MAPPING COURSE April 26–27, 2018, New Orleans an AANS Masters Course Held in Cooperation with the NREF
Hosted Immediately Prior to the 2018 AANS Annual Scientific Meeting SECOND INTERNATIONAL BRAIN MAPPING COURSE April 26–27, 2018, New Orleans An AANS Masters Course Held in Cooperation with the NREF Course Directors Mitchel S. Berger, MD, FAANS, University of California San Francisco (UCSF) Richard W. Byrne, MD, FAANS, Rush University Medical Center Hugues Duffau, MD, Hôpital Gui de Chauliac Honored Guest: Gregory Hickok, PhD, University of California, Irvine Invited Speakers Lorenzo Bello, MD, PhD Juan Martino, MD Marco Catani, MD, PhD Guy M. McKhann II, MD, FAANS Edward F. Chang, MD, FAANS Jeffrey G. Ojemann, MD, FAANS Nina Dronkers, PhD Zvi Ram, MD, IFAANS Alexandra J. Golby, MD, FAANS Guilherme C. Ribas, MD Gregory Hickok, PhD James T. Rutka, MD, PhD, FAANS Toshihiro Kumabe, MD, PhD George Samandouras, MD Chanhung Lee, MD, PhD Phiroz Erach Tarapore, MD, FAANS Emmanuel Mandonnet, MD, PhD Jinsong Wu, MD, PhD Course Overview A distinguished international faculty will present Session 3: Intraoperative and Extraoperative advances, advantages and practical issues in Mapping contemporary preoperative and intraoperative Session 4: Lunch Session: Controversies in brain mapping applications in brain tumor Cortical Mapping (Expert panel discussion, and functional neurosurgery. Content will be case presentations) presented in five sessions over two days. Session 5: Special Topics in Stimulation, Session 1: Functional Anatomy, Physiology and Research Techniques, the Future of Brain Mapping with Imaging Brain Mapping Session 2: Dinner Session: Special Lecture — Dr. Gregory Hickok Learning Objectives Upon completion of this CME activity, learners will be able to: Describe both the anatomic and functional List the potential pitfalls in sensitivity and anatomy of eloquent cortex. -
White Matter Dissection and Structural Connectivity of the Human Vertical
www.nature.com/scientificreports OPEN White matter dissection and structural connectivity of the human vertical occipital fasciculus to link vision-associated brain cortex Tatsuya Jitsuishi1, Seiichiro Hirono2, Tatsuya Yamamoto1,3, Keiko Kitajo1, Yasuo Iwadate2 & Atsushi Yamaguchi1* The vertical occipital fasciculus (VOF) is an association fber tract coursing vertically at the posterolateral corner of the brain. It is re-evaluated as a major fber tract to link the dorsal and ventral visual stream. Although previous tractography studies showed the VOF’s cortical projections fall in the dorsal and ventral visual areas, the post-mortem dissection study for the validation remains limited. First, to validate the previous tractography data, we here performed the white matter dissection in post-mortem brains and demonstrated the VOF’s fber bundles coursing between the V3A/B areas and the posterior fusiform gyrus. Secondly, we analyzed the VOF’s structural connectivity with difusion tractography to link vision-associated cortical areas of the HCP MMP1.0 atlas, an updated map of the human cerebral cortex. Based on the criteria the VOF courses laterally to the inferior longitudinal fasciculus (ILF) and craniocaudally at the posterolateral corner of the brain, we reconstructed the VOF’s fber tracts and found the widespread projections to the visual cortex. These fndings could suggest a crucial role of VOF in integrating visual information to link the broad visual cortex as well as in connecting the dual visual stream. Te VOF is the fber tract that courses vertically at the posterolateral corner of the brain. Te VOF was histori- cally described in monkey by Wernicke1 and then in human by Obersteiner2.