Computer Modeling of Motor Cortex Stimulation: How to Connect to Clinical Practice?

Total Page:16

File Type:pdf, Size:1020Kb

Computer Modeling of Motor Cortex Stimulation: How to Connect to Clinical Practice? Computer modeling of Motor Cortex Stimulation: How to connect to clinical practice? J.R. Buitenjweg, L. Manola, J. Holsheimer, P. H. Veltink MCS for suppression of chronic pain • Clinical Practice – Intra-operative positioning • Bipolar stimulation • Anode pre-central (MC) • Cathode post-central (S1) – Post-operative analgesic effect • Bipolar stimulation • Cathode pre-central • Mechanisms – Pre or Postcentral Gyrus Involved? – Antidromic Thalamic Activation? – … which fibers are activated? • Mathemathical Modeling – Volume conduction – Neural Activation Neural Fiber Orientations in the Cortex I II sulcus III IV motor V cortex VI white matter • Fibers are oriented both Parallel and Perpendicular to Cortical laminae • Cortical laminae are curved: varying orientation to MCS electrode Modeling Motor Cortex Stimulation • Volume Conduction • Neural fibers • Electrode configurations Influence of CSF layer thickness • Average thickness CSF: 3.1±0.6 mm1) • Lead thickness: 2 mm • dCSF (under electrode): 1.1±0.6mm 1) Estimated from n=6 T2 weighted MRI density profiles (Manola et al., 2005) Activation of fibers (dCSF 1.1 mm) • Electrode positions affect order of activation • Actual fiber diameters unkown (distributions) • Thresholds scaled by variations dSCF (Manola et al., 2007) Simulation Results • Efferent E1 can only be E1 activated anodally E2 • Efferent E3 can only be sulcus activated cathodally • Efferent E2 can be E3 motor activated both cathodally cortex and anodally • Afferent A is preferentially stimulated white cathodally matter Main Message from Modeling • Electrode Polarity and electrode Position influence the response of cortical neural elements to stimuli. • Cathodal and Anodal stimulation activate different groups of neural elements • In Bipolar stimulation both cathode and anode are active electrodes Coupling to Clinical practice • dCSF and fiber diameters still unkown, hence thresholds may vary widely • Cathodal vs Anodal threshold differences not reflected in clinical MEP resonses (although D- and I-waves do differ) • Ergo: Multiple scenario’s may still explain clinical results. Future Work on MCS modeling • Goal: limit the number of possible scenario’s explaining MCS effects • Morphometrical analysis of PCG fibers – fiber diameters and distributions • Documentation of MCS procedures – Electrode positions and dCSF – Peroperative stimulation results Morphometrical analysis PCG • Hans Feierabend (LUMC, Leiden) • Post-mortem: 5 brains, 10 samples PCG from each • 2-3 mm of PCG is stained and analysed – Coupes in multiple directions – Area of each fiber measured, radius calculated afterwards (assumed circular) • Recently some younger brains are added a b Sampling areas of 20700 _m2 of primary motor cortex (touluidine blue section perpendicular to the pial surface): a. in white matter b. + 1000 _m into cortex c. + 2000 _m into cortex c Distribution of myelinated fibers in cortical layers (from white matter to pial surface) 1.5 Density oflarger myelinated fibers in part L3 of the primary motor cortex (N727) 10 Density of myelinated fibers ) > 5 µm (whole range) in part L3 of 2 m ) > 6 µm µ 2 the primary motor cortex (N727) m 8 1.0 > 7 µm µ > 8 µm 6 > 9 µm > 10 µm 4 0.5 > 11 µm D[f] (fibers/1000 Dens[f] (fibers/1000 2 0.0 0 0 250 500 750 1000 1250 1500 1750 2000 2250 2500 0 250 500 750 1000 1250 1500 1750 2000 2250 2500 WPdistance (µm) wpdist (µm) Documentation of MCS procedures • Clinical observability of activations – Perpendicular (E) fibers: MEP responses – Parallel (A) fibers: ? • Obstacle for clinical validation studies: – Limited # clinical centers – Limited # patients / center – Combined multicenter action desired! Clinical data from MCS implantations • Clinical centers involved: – Nantes: Jean Paul Nguyen and team – Nijmegen: Tjemme Beens and team • Systematic documentation procedure – Pre operative imaging – Per-operative mapping of MEP responses – Storage of electrode positions (Neuronav) – Post operative stimulation adjustment • Analysis + – Effects of dCSF on MEP responses – Effects of electrode positions on MEP responses – Electrode positions and post-op pain reduction Thank you.
Recommended publications
  • 3D Histological Reconstruction of Fiber Tracts and Direct Comparison with Diffusion Tensor MRI Tractography
    3D Histological Reconstruction of Fiber Tracts and Direct Comparison with Diffusion Tensor MRI Tractography Julien Dauguet1, Sharon Peled2, Vladimir Berezovskii3, Thierry Delzescaux4, Simon K. Warfield1, Richard Born3, and Carl-Fredrik Westin5 1 Computational Radiology Laboratory, Children’s Hospital, Brigham and Women’s Hospital, Harvard Medical School, Boston, USA 2 Harvard Center for Neurodegeneration and Repair, Boston, USA 3 Department of Neurobiology, Harvard Medical School, Boston, USA 4 Service Hospitalier Fr´ed´eric Joliot, CEA, Orsay, France 5 Laboratory of Mathematics in Imaging, Brigham and Women’s Hospital, Harvard Medical School, Boston, USA Abstract. A classical neural tract tracer, WGA-HRP, was injected at multiple sites within the brain of a macaque monkey. Histological sections of the labeled fiber tracts were reconstructed in 3D, and the fibers were segmented and registered with the anatomical post-mortem MRI from the same animal. Fiber tracing along the same pathways was performed on the DTI data using a classical diffusion tracing technique. The fibers derived from the DTI were compared with those segmented from the histology in order to evaluate the performance of DTI fiber tracing. While there was generally good agreement between the two methods, our results reveal certain limitations of DTI tractography, particularly at regions of fiber tract crossing or bifurcation. 1 Introduction Tracing neural connections lies at the heart of neuroanatomy, and has profound implications for the study of neural function and for the study of developmental and adult plasticity of the nervous system. It is also important for the study of neurodegenerative diseases, and for the planning of neurosurgical procedures, such as tumor ablation.
    [Show full text]
  • Toward a Common Terminology for the Gyri and Sulci of the Human Cerebral Cortex Hans Ten Donkelaar, Nathalie Tzourio-Mazoyer, Jürgen Mai
    Toward a Common Terminology for the Gyri and Sulci of the Human Cerebral Cortex Hans ten Donkelaar, Nathalie Tzourio-Mazoyer, Jürgen Mai To cite this version: Hans ten Donkelaar, Nathalie Tzourio-Mazoyer, Jürgen Mai. Toward a Common Terminology for the Gyri and Sulci of the Human Cerebral Cortex. Frontiers in Neuroanatomy, Frontiers, 2018, 12, pp.93. 10.3389/fnana.2018.00093. hal-01929541 HAL Id: hal-01929541 https://hal.archives-ouvertes.fr/hal-01929541 Submitted on 21 Nov 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. REVIEW published: 19 November 2018 doi: 10.3389/fnana.2018.00093 Toward a Common Terminology for the Gyri and Sulci of the Human Cerebral Cortex Hans J. ten Donkelaar 1*†, Nathalie Tzourio-Mazoyer 2† and Jürgen K. Mai 3† 1 Department of Neurology, Donders Center for Medical Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands, 2 IMN Institut des Maladies Neurodégénératives UMR 5293, Université de Bordeaux, Bordeaux, France, 3 Institute for Anatomy, Heinrich Heine University, Düsseldorf, Germany The gyri and sulci of the human brain were defined by pioneers such as Louis-Pierre Gratiolet and Alexander Ecker, and extensified by, among others, Dejerine (1895) and von Economo and Koskinas (1925).
    [Show full text]
  • Stimulus Arousal Drives Amygdalar Responses to Emotional
    www.nature.com/scientificreports OPEN Stimulus arousal drives amygdalar responses to emotional expressions across sensory modalities Huiyan Lin1,2,4*, Miriam Müller-Bardorf2,4, Bettina Gathmann2,4, Jaqueline Brieke2, Martin Mothes-Lasch2, Maximilian Bruchmann2, Wolfgang H. R. Miltner3 & Thomas Straube2 The factors that drive amygdalar responses to emotionally signifcant stimuli are still a matter of debate – particularly the proneness of the amygdala to respond to negatively-valenced stimuli has been discussed controversially. Furthermore, it is uncertain whether the amygdala responds in a modality-general fashion or whether modality-specifc idiosyncrasies exist. Therefore, the present functional magnetic resonance imaging (fMRI) study systematically investigated amygdalar responding to stimulus valence and arousal of emotional expressions across visual and auditory modalities. During scanning, participants performed a gender judgment task while prosodic and facial emotional expressions were presented. The stimuli varied in stimulus valence and arousal by including neutral, happy and angry expressions of high and low emotional intensity. Results demonstrate amygdalar activation as a function of stimulus arousal and accordingly associated emotional intensity regardless of stimulus valence. Furthermore, arousal-driven amygdalar responding did not depend on the visual and auditory modalities of emotional expressions. Thus, the current results are consistent with the notion that the amygdala codes general stimulus relevance across visual
    [Show full text]
  • A Core Speech Circuit Between Primary Motor, Somatosensory, and Auditory Cortex
    bioRxiv preprint doi: https://doi.org/10.1101/139550; this version posted May 19, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Speech core 1 A core speech circuit between primary motor, somatosensory, and auditory cortex: Evidence from connectivity and genetic descriptions * ^ Jeremy I Skipper ​ and Uri Hasson ​ ​ * Experimental​ Psychology, University College London, UK ^ Center​ for Mind/Brain Sciences (CIMeC), University of Trento, Italy, and Center for Practical Wisdom, Dept. of Psychology, The University of Chicago Running title: Speech core ​ Words count: 20,362 ​ Address correspondence to: Jeremy I Skipper University College London Experimental Psychology 26 Bedford Way London WC1H OAP United Kingdom E-mail: [email protected] ​ bioRxiv preprint doi: https://doi.org/10.1101/139550; this version posted May 19, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Speech core 2 Abstract What adaptations allow humans to produce and perceive speech so effortlessly? We show that speech is supported by a largely undocumented core of structural and functional connectivity between the central sulcus (CS or primary motor and somatosensory cortex) and the transverse temporal gyrus (TTG or primary auditory cortex). Anatomically, we show that CS and TTG cortical thickness covary across individuals and that they are connected by white matter tracts.
    [Show full text]
  • Translingual Neural Stimulation with the Portable Neuromodulation
    Translingual Neural Stimulation With the Portable Neuromodulation Stimulator (PoNS®) Induces Structural Changes Leading to Functional Recovery In Patients With Mild-To-Moderate Traumatic Brain Injury Authors: Jiancheng Hou,1 Arman Kulkarni,2 Neelima Tellapragada,1 Veena Nair,1 Yuri Danilov,3 Kurt Kaczmarek,3 Beth Meyerand,2 Mitchell Tyler,2,3 *Vivek Prabhakaran1 1. Department of Radiology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA 2. Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA 3. Department of Kinesiology, University of Wisconsin-Madison, Madison, Wisconsin, USA *Correspondence to [email protected] Disclosure: Dr Tyler, Dr Danilov, and Dr Kaczmarek are co-founders of Advanced Neurorehabilitation, LLC, which holds the intellectual property rights to the PoNS® technology. Dr Tyler is a board member of NeuroHabilitation Corporation, a wholly- owned subsidiary of Helius Medical Technologies, and owns stock in the corporation. The other authors have declared no conflicts of interest. Acknowledgements: Professional medical writing and editorial assistance were provided by Kelly M. Fahrbach, Ashfield Healthcare Communications, part of UDG Healthcare plc, funded by Helius Medical Technologies. Dr Tyler, Dr Kaczmarek, Dr Danilov, Dr Hou, and Dr Prabhakaran were being supported by NHC-TBI-PoNS-RT001. Dr Hou, Dr Kulkarni, Dr Nair, Dr Tellapragada, and Dr Prabhakaran were being supported by R01AI138647. Dr Hou and Dr Prabhakaran were being supported by P01AI132132, R01NS105646. Dr Kulkarni was being supported by the Clinical & Translational Science Award programme of the National Center for Research Resources, NCATS grant 1UL1RR025011. Dr Meyerand, Dr Prabhakaran, Dr Nair was being supported by U01NS093650.
    [Show full text]
  • The Prefrontal Cortex
    Avens Publishing Group Inviting Innovations Open Access Review Article J Hum Anat Physiol July 2017 Volume:1, Issue:1 © All rights are reserved by Ogeturk. AvensJournal Publishing of Group Inviting Innovations Human Anatomy The Prefrontal Cortex: A Basic & Physiology Embryological, Histological, Anatomical, and Functional Ramazan Fazıl Akkoc and Murat Ogeturk* Department of Anatomy, Firat University, Turkey Guideline *Address for Correspondence Murat Ogeturk, Firat University, Faculty of Medicine, 23119 Elazig, Turkey, Tel: +90-424-2370000 (ext: 4654); Fax: +90-424-2379138; Keywords: Prefrontal cortex; Working memory; Frontal lobe E-Mail: [email protected] Abstract Submission: 24 May, 2017 Accepted: 11 July, 2017 The prefrontal cortex (PFC) unites, processes and controls the Published: 19 August, 2017 information coming from cortex and subcortical structures, and Copyright: © 2017 Akkoc RF. This is an open access article distributed decides and executes goal-oriented behavior. A major function of PFC under the Creative Commons Attribution License, which permits is to maintain the attention. Furthermore, it has many other functions unrestricted use, distribution, and reproduction in any medium, provided including working memory, problem solving, graciousness, memory, the original work is properly cited. and intellectuality. PFC is well developed in humans and localized to the anterior of the frontal lobe. This article presents a systematic review and detailed summary of embryology, histology, anatomy, functions and lesions of PFC. I. Lamina zonalis: Contains few Cajal horizontal cells. The axons of Martinotti cells located at deep layers, the last branches of the apical dendrites of pyramidal cells, and the last branches Introduction of the afferent nerve fibers extend to this lamina.
    [Show full text]
  • 1. Lateral View of Lobes in Left Hemisphere TOPOGRAPHY
    TOPOGRAPHY T1 Division of Cerebral Cortex into Lobes 1. Lateral View of Lobes in Left Hemisphere 2. Medial View of Lobes in Right Hemisphere PARIETAL PARIETAL LIMBIC FRONTAL FRONTAL INSULAR: buried OCCIPITAL OCCIPITAL in lateral fissure TEMPORAL TEMPORAL 3. Dorsal View of Lobes 4. Ventral View of Lobes PARIETAL TEMPORAL LIMBIC FRONTAL OCCIPITAL FRONTAL OCCIPITAL Comment: The cerebral lobes are arbitrary divisions of the cerebrum, taking their names, for the most part, from overlying bones. They are not functional subdivisions of the brain, but serve as a reference for locating specific functions within them. The anterior (rostral) end of the frontal lobe is referred to as the frontal pole. Similarly, the anterior end of the temporal lobe is the temporal pole, and the posterior end of the occipital lobe the occipital pole. TOPOGRAPHY T2 central sulcus central sulcus parietal frontal occipital lateral temporal lateral sulcus sulcus SUMMARY CARTOON: LOBES SUMMARY CARTOON: GYRI Lateral View of Left Hemisphere central sulcus postcentral superior parietal superior precentral gyrus gyrus lobule frontal intraparietal sulcus gyrus inferior parietal lobule: supramarginal and angular gyri middle frontal parieto-occipital sulcus gyrus incision for close-up below OP T preoccipital O notch inferior frontal cerebellum gyrus: O-orbital lateral T-triangular sulcus superior, middle and inferior temporal gyri OP-opercular Lateral View of Insula central sulcus cut surface corresponding to incision in above figure insula superior temporal gyrus Comment: Insula (insular gyri) exposed by removal of overlying opercula (“lids” of frontal and parietal cortex). TOPOGRAPHY T3 Language sites and arcuate fasciculus. MRI reconstruction from a volunteer. central sulcus supramarginal site (posterior Wernicke’s) Language sites (squares) approximated from electrical stimulation sites in patients undergoing operations for epilepsy or tumor removal (Ojeman and Berger).
    [Show full text]
  • Gray Matter Volume Changes Following Antipsychotic Therapy in First
    Journal of Psychiatric Research 116 (2019) 126–132 Contents lists available at ScienceDirect Journal of Psychiatric Research journal homepage: www.elsevier.com/locate/jpsychires Gray matter volume changes following antipsychotic therapy in first-episode schizophrenia patients: A longitudinal voxel-based morphometric study T Fan Guoa,b,1, Yuan-Qiang Zhua,1, Chen Lia,1, Xing-Rui Wanga, Hua-Ning Wangd, Wen-Ming Liud, ∗ ∗∗ Liu-Xian Wanga,c, Ping Tiana, Xiao-Wei Kanga, Long-Biao Cuia,e, Yi-Bin Xia, , Hong Yina, a Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China b Key Laboratory of Molecular Imaging of the Chinese Academy of Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China c Department of Radiology, Chinese PLA General Hospital, Beijing, China d Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China e Department of Clinical Psychology, School of Medical Psychology, Fourth Military Medical University, Xi'an, 710032, China ARTICLE INFO ABSTRACT Keywords: Despite evidence of structural brain abnormalities in schizophrenia, the current study aimed to explore the Schizophrenia effects of antipsychotic treatment on gray matter (GM) volume using structural magnetic resonance imaging Voxel-based morphometry (MRI) and investigate the relationship between brain structure and treatment response. The GM volumes of 33 Antipsychotics patients with first-episode schizophrenia were calculated with voxel-based morphometry (VBM), with 33 mat- Magnetic resonance imaging ched healthy controls. Longitudinal volume changes within subjects after 4-month antipsychotic treatment were First-episode also evaluated. Correlation between volumetric changes and clinical symptoms derived from the Positive and Gray matter volume Negative Syndrome Scale (PANSS) were further investigated.
    [Show full text]
  • A Practical Review of Functional MRI Anatomy of the Language and Motor Systems
    REVIEW ARTICLE FUNCTIONAL A Practical Review of Functional MRI Anatomy of the Language and Motor Systems X V.B. Hill, X C.Z. Cankurtaran, X B.P. Liu, X T.A. Hijaz, X M. Naidich, X A.J. Nemeth, X J. Gastala, X C. Krumpelman, X E.N. McComb, and X A.W. Korutz ABSTRACT SUMMARY: Functional MR imaging is being performed with increasing frequency in the typical neuroradiology practice; however, many readers of these studies have only a limited knowledge of the functional anatomy of the brain. This text will delineate the locations, anatomic boundaries, and functions of the cortical regions of the brain most commonly encountered in clinical practice—specifically, the regions involved in movement and language. ABBREVIATIONS: FFA ϭ fusiform face area; IPL ϭ inferior parietal lobule; PPC ϭ posterior parietal cortex; SMA ϭ supplementary motor area; VOTC ϭ ventral occipitotemporal cortex his article serves as a review of the functional areas of the brain serving to analyze spatial position and the ventral stream working Tmost commonly mapped during presurgical fMRI studies, to identify what an object is. Influenced by the dorsal and ventral specifically targeting movement and language. We have compiled stream model of vision, Hickok and Poeppel2 hypothesized a sim- what we hope is a useful, easily portable, and concise resource that ilar framework for language. In this model, the ventral stream, or can be accessible to radiologists everywhere. We begin with a re- lexical-semantic system, is involved in sound-to-meaning map- view of the language-processing system. Then we describe the pings associated with language comprehension and semantic ac- gross anatomic boundaries, organization, and function of each cess.
    [Show full text]
  • Seed MNI Coordinates Lobe
    MNI Coordinates Seed Lobe (Hemisphere) Region BAa X Y Z FP1 -18 62 0 Frontal Lobe (L) Medial Frontal Gyrus 10 FPz 4 62 0 Frontal Lobe (R) Medial Frontal Gyrus 10 FP2 24 60 0 Frontal Lobe (R) Superior Frontal Gyrus 10 AF7 -38 50 0 Frontal Lobe (L) Middle Frontal Gyrus 10 AF3 -30 50 24 Frontal Lobe (L) Superior Frontal Gyrus 9 AFz 4 58 30 Frontal Lobe (R) Medial Frontal Gyrus 9 AF4 36 48 20 Frontal Lobe (R) Middle Frontal Gyrus 10 AF8 42 46 -4 Frontal Lobe (R) Inferior Frontal Gyrus 10 F7 -48 26 -4 Frontal Lobe (L) Inferior Frontal Gyrus 47 F5 -48 28 18 Frontal Lobe (L) Inferior Frontal Gyrus 45 F3 -38 28 38 Frontal Lobe (L) Precentral Gyrus 9 F1 -20 30 50 Frontal Lobe (L) Superior Frontal Gyrus 8 Fz 2 32 54 Frontal Lobe (L) Superior Frontal Gyrus 8 F2 26 32 48 Frontal Lobe (R) Superior Frontal Gyrus 8 F4 42 30 34 Frontal Lobe (R) Precentral Gyrus 9 F6 50 28 14 Frontal Lobe (R) Middle Frontal Gyrus 46 F8 48 24 -8 Frontal Lobe (R) Inferior Frontal Gyrus 47 FT9 -50 -6 -36 Temporal Lobe (L) Inferior Temporal Gyrus 20 FT7 -54 2 -8 Temporal Lobe (L) Superior Temporal Gyrus 22 FC5 -56 4 22 Frontal Lobe (L) Precentral Gyrus 6 FC3 -44 6 48 Frontal Lobe (L) Middle Frontal Gyrus 6 FC1 -22 6 64 Frontal Lobe (L) Middle Frontal Gyrus 6 FCz 4 6 66 Frontal Lobe (R) Medial Frontal Gyrus 6 FC2 28 8 60 Frontal Lobe (R) Sub-Gyral 6 FC4 48 8 42 Frontal Lobe (R) Middle Frontal Gyrus 6 FC6 58 6 16 Frontal Lobe (R) Inferior Frontal Gyrus 44 FT8 54 2 -12 Temporal Lobe (R) Superior Temporal Gyrus 38 FT10 50 -6 -38 Temporal Lobe (R) Inferior Temporal Gyrus 20 T7/T3
    [Show full text]
  • Table S1. Peak Coordinates of the Regions Involved in the Task Main
    Table S1. Peak coordinates of the regions involved in the task main network Number of MNI p FDR Anatomical description T voxels coordinates corrected x y z Left superior temporal gyrus 2753 -58 -16 -4 16.5 0.0000002 Left middle temporal gyrus Left rolandic operculum Left superior temporal pole Left Heschl gyrus Left inferior frontal gyrus Left supramarginal gyrus Left insula Right superior temporal gyrus 1613 62 -4 -6 14.9 0.0000002 Right middle temporal gyrus Right superior temporal pole Right Heschl gyrus Right rolandic operculum Bilateral cerebellum 565 6 -58 12 11.5 0.0000009 Right lingual gyrus Left precentral gyrus 1682 -34 -26 62 9.55 0.000004 Left postcentral gyrus Left inferior parietal gyrus Bilateral supplementary motor areas 554 -2 10 54 9.2 0.000006 Right middle cingulate gyrus Left medial superior frontal gyrus Right precentral gyrus 24 56 4 44 6.9 0.00007 Left putamen 66 -24 -6 44 6.6 0.0001 Left pallidum Left thalamus 70 -12 -20 -2 6.4 0.0001 Left inferior frontal gyrus 11 -44 24 16 6.1 0.0002 Left calcarine fissure 20 -4 -74 8 6.08 0.0002 Left lingual gyrus Left superior temporal pole 17 -38 6 -18 6.05 0.0002 Left putamen 36 -28 -24 -8 5.8 0.0003 Table S2. Peak coordinates of the regions showing a main effect of item type Number of MNI p FDR Anatomical description T voxels coordinates corrected x y z Words – Pseudowords Left inferior frontal gyrus 96 -40 24 -6 7.6 0.000001 Left insula Left superior temporal pole Left middle temporal gyrus 141 -56 -36 -2 5.9 0.000015 Left precentral gyrus 26 -50 8 32 4.9 0.00025 Left inferior
    [Show full text]
  • The Effects of Pharmacological Opioid Blockade on Neural Measures of Drug Cue-Reactivity in Humans
    Neuropsychopharmacology (2016) 41, 2872–2881 © 2016 American College of Neuropsychopharmacology. All rights reserved 0893-133X/16 www.neuropsychopharmacology.org The Effects of Pharmacological Opioid Blockade on Neural Measures of Drug Cue-Reactivity in Humans 1 2 ,1,2 Kelly E Courtney , Dara G Ghahremani and Lara A Ray* 1 2 Department of Psychology, University of California, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA Interactions between dopaminergic and opioidergic systems have been implicated in the reinforcing properties of drugs of abuse. The present study investigated the effects of opioid blockade, via naltrexone, on functional magnetic resonance imaging (fMRI) measures during methamphetamine cue-reactivity to elucidate the role of endogenous opioids in the neural systems underlying drug craving. To investigate = = = this question, non-treatment seeking individuals with methamphetamine use disorder (N 23; 74% male, mean age 34.70 (SD 8.95)) were recruited for a randomized, placebo controlled, within-subject design and underwent a visual methamphetamine cue-reactivity task during two blood-oxygen-level dependent (BOLD) fMRI sessions following 3 days of naltrexone (50 mg) and matched time for placebo. fMRI analyses tested naltrexone-induced differences in BOLD activation and functional connectivity during cue processing. The results showed that naltrexone administration reduced cue-reactivity in sensorimotor regions and related to altered functional connectivity of dorsal striatum, ventral tegmental area, and precuneus with frontal, visual, sensory, and motor-related regions. Naltrexone also weakened the associations between subjective craving and precuneus functional connectivity with sensorimotor regions and strengthened the associations between subjective craving and dorsal striatum and precuneus connectivity with frontal regions.
    [Show full text]