Insular Volume Reductions in Patients with Major Depressive Disorder

Total Page:16

File Type:pdf, Size:1020Kb

Insular Volume Reductions in Patients with Major Depressive Disorder Insular volume reductions in patients with major depressive disorder Item Type Article Authors Mutschler, Isabella; Hänggi, Jürgen; Frei, Manuela; Lieb, Roselind; grosse Holforth, Martin; Seifritz, Erich; Spinelli, Simona Citation Mutschler, I., Hänggi, J., Frei, M., Lieb, R., grosse Holforth, M., Seifritz, E., & Spinelli, S. (2019). Insular volume reductions in patients with major depressive disorder. Neurology, Psychiatry and Brain Research, 33, 39–47. doi:10.1016/j.npbr.2019.06.002 Eprint version Post-print DOI 10.1016/j.npbr.2019.06.002 Publisher Elsevier BV Journal Neurology Psychiatry and Brain Research Rights NOTICE: this is the author’s version of a work that was accepted for publication in Neurology Psychiatry and Brain Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Neurology Psychiatry and Brain Research, [[Volume], [Issue], (2019-06-22)] DOI: 10.1016/ j.npbr.2019.06.002 . © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http:// creativecommons.org/licenses/by-nc-nd/4.0/ Download date 23/09/2021 13:26:26 Item License http://creativecommons.org/licenses/by-nc-nd/4.0/ Link to Item http://hdl.handle.net/10754/656271 Neurology, Psychiatry and Brain Research 33 (2019) 39–47 Contents lists available at ScienceDirect Neurology, Psychiatry and Brain Research journal homepage: www.elsevier.com/locate/npbr Insular volume reductions in patients with major depressive disorder T ⁎ Isabella Mutschlera, , Jürgen Hänggib, Manuela Freia, Roselind Lieba, Martin grosse Holforthc,d, Erich Seifritze, Simona Spinellif a Department of Psychology, Clinical Psychology and Epidemiology, University of Basel, Basel, Switzerland b Division Neuropsychology, Department of Psychology, University of Zurich, Zurich, Switzerland c Department of Psychology, University of Bern, Switzerland d Psychosomatic Competence Center, Department of Neurology, Inselspital, Bern, Switzerland e Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland f King Abdullah University of Science and Technology, Animal Resources Core Lab, Thuwal, Saudi Arabia ARTICLE INFO ABSTRACT Keywords: Background: Major Depressive Disorder (MDD) is one of the most common mental disorders. Converging evi- Major depressive disorder dence suggests that the insula plays an important role in the pathophysiology of MDD. Little is known regarding Insula in which insula subregion volume alterations occur in patients with MDD. Voxel-based morphometry Methods: We analyzed voxel-based morphometry in T1-weighted MRI scans of unmedicated DSM-IV MDD pa- Meta-analysis tients (n = 26) and in age, education, and sex matched healthy controls (HC, n = 26). Furthermore, we per- Interoception formed a quantitative meta-analysis across 14 structural MRI MDD studies by applying the anatomical likelihood Grey matter volume estimation technique to identify concordant volume reductions in MDD in the insula cortex. Results: We found significantly reduced grey matter volumes (GMV) in patients with MDD compared to HCs in the left mid-insula and in the right and left caudate nucleus. The left mid-insular volume reduction in our sample was consistent with the coordinate-based meta-analysis results. Conclusions: The findings highlight the role of the mid-insula in the psychopathology of MDD. The mid-insula subregion might be associated with reduced interoceptive abilities in patients with MDD that is the ability to process information of “how the body feels”. In addition, the caudate nucleus has been described as being part of a network that mediates emotional and motivational processes which seems to be affected in MDD. 1. Introduction thalamus, caudate nucleus, putamen and globus pallidus (Delaveau et al., 2011). Another meta-analysis focused on the insular cortex and Major depressive disorder (MDD) is among the most prevalent showed that during emotional processing in depressed individuals, in- mental disorders worldwide with a lifetime prevalence ranging from sula activation may be topographically shifted toward insula subregions 6.6 to 21% across cultures (Kessler & Bromet, 2013). According to DSM- typically associated with the experience of pain (Mutschler, Ball, 5, MDD is characterized by depressed mood, diminished interests, im- Wankerl, & Strigo, 2012). More recently, Li and colleagues reported paired cognitive function and vegetative symptoms (American abnormalities in resting-state brain activity in medication-free MDD Psychiatric Association, 2013). MDD profoundly impacts individuals’ patients in meta-analyses of ALFF (amplitude of low-frequency fluc- lifes (Otte et al., 2016) and has been associated with medical co- tuations) studies and rCBF (regional cerebral blood flow) studies in morbidity such as chronic pain (Kessler & Bromet, 2013) and increased different brain regions including the left insula, anterior cingulate risk for cardiovascular disorders (Whooley & Wong, 2013). cortex, inferior frontal gyrus, right caudate nucleus, supplementary In the last decades, a large number of neuroimaging studies have motor area and hippocampus (Li et al., 2017). Furthermore, a meta- investigated functional brain characteristics in depression. A meta- analysis on structural MRI studies found reduced grey matter volume in analysis of functional neuroimaging studies showed that responses to the insula in MDD samples (Peng, Chen, Yin, Jia, & Gong, 2016). To- emotional stimuli in depression involve the insula, prefrontal cortices, gether these findings provide strong support for the assumption that the hippocampus, amygdala, anterior cingulate cortex, cerebellum, insula plays a pivotal role in the pathophysiology of MDD. The insula ― ⁎ Corresponding author at: University of Basel, Department of Psychology, Division of Clinical Psychology & Epidemiology, Missionsstrasse 62a, 4055 Basel, Switzerland. E-mail address: [email protected] (I. Mutschler). https://doi.org/10.1016/j.npbr.2019.06.002 Received 31 October 2018; Received in revised form 12 June 2019; Accepted 14 June 2019 0941-9500/ © 2019 Published by Elsevier GmbH. I. Mutschler, et al. Neurology, Psychiatry and Brain Research 33 (2019) 39–47 a brain structure that is situated in the depth of the Sylvian fissure ― is Table 1 anatomically connected to many other brain regions (Nieuwenhuys, Demographics, symptom severity and other clinical characteristics for 2012). The insula is pyramid-shaped and anatomically divided by the patients with MDD and healthy controls (HC) investigated in the MRI central insular sulcus into an anterior and posterior part (Ture, Yasargil, study. Individuals with MDD and HCs completed the Hopelessness Scale (H- Al-Mefty, & Yasargil, 1999). It is thought that the insular cortex might Scale) (Krampen, 1994) and the State-Trait Anxiety Inventory (STAI) (Laux et al., 1981). Individuals with MDD were also assessed with the Inventory for underlie a wide range of functions in humans such as processing in- Depressive Symptomatology (IDS) (Helmreich et al., 2011; Rush et al., 1996), formation related to the state of the body as well self-awareness, cog- and the Beck Depression Inventory II (BDI-II) (Beck et al., 1996). Statistics: Last nitive and emotional functioning, somatomotor control, and language column shows statistical analysis of two-sample t-test comparing the MDD (Christopher, Koshimori, Lang, Criaud, & Strafella, 2014; Craig, 2002; group and the HC group (a based on n = 25; b based on n = 24; SD = Standard Kelly et al., 2012a; Mutschler et al., 2009; Uyanikgil, Cavusoglu, Celik, deviation). & Kilic, 2018). Subjects MDD HCs Statistics Little is known, however, regarding in which insula subregion vo- lume alterations occur in individuals with MDD. There is growing Number of subjects n = 26 n = 26 evidence that there is a functional organization in the insula and that Sex different insula subregions may serve different functions (Deen, Pitskel, male/female n = 17/9 n = 17/9 Age & Pelphrey, 2011; Kelly et al., 2012b; Mutschler et al., 2009). The mean (range) 40.19 (22-63) 35.92 (20-60) p = 0.25 dorsal anterior insula may be involved in perception of vocalizations Years of education and language (Mutschler et al., 2009), cognition (Deen et al., 2011) and mean (SD) 15.64 (3.60) 15.5 (2.44) p = 0.21 the ventral anterior insula may be involved in peripheral physiological Episodes: processing resulting from emotional experiences (Mutschler et al., First n = 9 Recurrent n = 17 2009). The mid insula has been associated with interoception (see Fig. 5 BDI score 25.26 (8.34) in reference (Kelly et al., 2012a). Hence, knowing in which insula mean (SD) subregion grey matter volume reductions in MDD occur may shed light IDS (SD) 34.54 (8.51) on functional impairments in MDD. On this background, we performed STAI Trait (SD) 56.0 (9.85) 33.1 (8.01) p = 2.5E-12 STAI State (SD) 43.62 (5.92)a 32.4 (5.29)b p = 8.5E-09 two studies. In the first study, T1-weighted MRI scans were analyzed in H-Scale (SD) 75.1 (12.90) 45.7 (11.01) p = 8.5E-12 unmedicated DSM-IV MDD patients (n = 26) and in age, education, and sex matched healthy controls (HC, n = 26) using voxel-based mor- phometry (VBM). We hypothesized that GM volumes within the insula 2.1.2. Psychometric measures would be significantly
Recommended publications
  • S1 Table. Anatomical Regions of Individual SPES Contacts in Correspondence to Fig 8
    S1 Table. Anatomical regions of individual SPES contacts in correspondence to Fig 8. Subject Contact Number Anatomical Region 1 Superior frontal gyrus 2 Central sulcus 3 Lateral occipito-temporal gyrus (fusiform gyrus) #1 4 Superior frontal gyrus 5 Inferior frontal sulcus 6 Middle occipital gyrus 1 Subparietal sulcus 2 Posterior-dorsal part of the cingulate gyrus #2 3 Precuneus 4 Middle-anterior part of the cingulate gyrus and sulcus 5 Sulcus intermedius primus (of Jensen) 1 Inferior part of the precentral sulcus 2 Subcentral gyrus and sulci 3 Inferior part of the precentral sulcus #3 4 Middle-anterior part of the cingulate gyrus and sulcus 5 Middle-anterior part of the cingulate gyrus and sulcus 6 Hippocampus 7 Hippocampus 1 Transverse temporal sulcus 2 Posterior ramus of the lateral sulcus 3 Intraparietal sulcus and transverse parietal sulci 4 Intraparietal sulcus and transverse parietal sulci #4 5 Hippocampus 6 Superior occipital sulcus and transverse occipital sulcus 7 Middle-posterior part of the cingulate gyrus and sulcus 8 Posterior ramus of the lateral sulcus 1 Superior frontal gyrus 2 Superior frontal sulcus #5 3 Middle frontal gyrus 4 Parahippocampal part of the medial occipito-temporal gyrus 5 Middle-anterior part of the cingulate gyrus and sulcus 1 Superior frontal sulcus 2 Posterior-dorsal part of the cingulate gyrus #6 3 Superior frontal gyrus 4 Middle frontal gyrus 1 Inferior frontal sulcus #7 2 Opercular part of the inferior frontal gyrus #8 1 Middle-anterior part of the cingulate gyrus and sulcus 1 Superior frontal sulcus 2 Orbital sulci (H-shaped) #9 3 Superior segment of the circular sulcus of the insula 4 Middle-anterior part of the cingulate gyrus and sulcus .
    [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]
  • Cortical Abnormalities in Bipolar Disorder: an MRI Analysis of 6503 Individuals from the ENIGMA Bipolar Disorder Working Group
    OPEN Molecular Psychiatry (2018) 23, 932–942 www.nature.com/mp ORIGINAL ARTICLE Cortical abnormalities in bipolar disorder: an MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group DP Hibar1,2, LT Westlye3,4,5, NT Doan3,4, N Jahanshad1, JW Cheung1, CRK Ching1,6, A Versace7, AC Bilderbeck8, A Uhlmann9,10, B Mwangi11, B Krämer12, B Overs13, CB Hartberg3, C Abé14, D Dima15,16, D Grotegerd17, E Sprooten18, E Bøen19, E Jimenez20, FM Howells9, G Delvecchio21, H Temmingh9, J Starke9, JRC Almeida22, JM Goikolea20, J Houenou23,24, LM Beard25, L Rauer12, L Abramovic26, M Bonnin20, MF Ponteduro16, M Keil27, MM Rive28,NYao29,30, N Yalin31, P Najt32, PG Rosa33,34, R Redlich17, S Trost27, S Hagenaars35, SC Fears36,37, S Alonso-Lana38,39, TGM van Erp40, T Nickson35, TM Chaim-Avancini33,34, TB Meier41,42, T Elvsåshagen3,43, UK Haukvik3,44, WH Lee18, AH Schene45,46, AJ Lloyd47, AH Young31, A Nugent48, AM Dale49,50, A Pfennig51, AM McIntosh35, B Lafer33, BT Baune52, CJ Ekman14, CA Zarate48, CE Bearden53,54, C Henry23,55, C Simhandl56, C McDonald32, C Bourne8,57, DJ Stein9,10, DH Wolf25, DM Cannon32, DC Glahn29,30, DJ Veltman58, E Pomarol-Clotet38,39, E Vieta20, EJ Canales-Rodriguez38,39, FG Nery33,59, FLS Duran33,34, GF Busatto33,34, G Roberts60, GD Pearlson29,30, GM Goodwin8, H Kugel61, HC Whalley35, HG Ruhe8,28,62, JC Soares11, JM Fullerton13,63, JK Rybakowski64, J Savitz42,65, KT Chaim66,67, M Fatjó-Vilas38,39, MG Soeiro-de-Souza33, MP Boks26, MV Zanetti33,34, MCG Otaduy66,67, MS Schaufelberger33,34, M Alda68, M Ingvar14,69,
    [Show full text]
  • Neural Correlates Underlying Change in State Self-Esteem Hiroaki Kawamichi 1,2,3, Sho K
    www.nature.com/scientificreports OPEN Neural correlates underlying change in state self-esteem Hiroaki Kawamichi 1,2,3, Sho K. Sugawara2,4,5, Yuki H. Hamano2,5,6, Ryo Kitada 2,7, Eri Nakagawa2, Takanori Kochiyama8 & Norihiro Sadato 2,5 Received: 21 July 2017 State self-esteem, the momentary feeling of self-worth, functions as a sociometer involved in Accepted: 11 January 2018 maintenance of interpersonal relations. How others’ appraisal is subjectively interpreted to change Published: xx xx xxxx state self-esteem is unknown, and the neural underpinnings of this process remain to be elucidated. We hypothesized that changes in state self-esteem are represented by the mentalizing network, which is modulated by interactions with regions involved in the subjective interpretation of others’ appraisal. To test this hypothesis, we conducted task-based and resting-state fMRI. Participants were repeatedly presented with their reputations, and then rated their pleasantness and reported their state self- esteem. To evaluate the individual sensitivity of the change in state self-esteem based on pleasantness (i.e., the subjective interpretation of reputation), we calculated evaluation sensitivity as the rate of change in state self-esteem per unit pleasantness. Evaluation sensitivity varied across participants, and was positively correlated with precuneus activity evoked by reputation rating. Resting-state fMRI revealed that evaluation sensitivity was positively correlated with functional connectivity of the precuneus with areas activated by negative reputation, but negatively correlated with areas activated by positive reputation. Thus, the precuneus, as the part of the mentalizing system, serves as a gateway for translating the subjective interpretation of reputation into state self-esteem.
    [Show full text]
  • Supplementary Tables
    Supplementary Tables: ROI Atlas Significant table grey matter Test ROI # Brainetome area beta volume EG pre vs post IT 8 'superior frontal gyrus, part 4 (dorsolateral area 6), right', 0.773 17388 11 'superior frontal gyrus, part 6 (medial area 9), left', 0.793 18630 12 'superior frontal gyrus, part 6 (medial area 9), right', 0.806 24543 17 'middle frontal gyrus, part 2 (inferior frontal junction), left', 0.819 22140 35 'inferior frontal gyrus, part 4 (rostral area 45), left', 1.3 10665 67 'paracentral lobule, part 2 (area 4 lower limb), left', 0.86 13662 EG pre vs post ET 20 'middle frontal gyrus, part 3 (area 46), right', 0.934 28188 21 'middle frontal gyrus, part 4 (ventral area 9/46 ), left' 0.812 27864 31 'inferior frontal gyrus, part 2 (inferior frontal sulcus), left', 0.864 11124 35 'inferior frontal gyrus, part 4 (rostral area 45), left', 1 10665 50 'orbital gyrus, part 5 (area 13), right', -1.7 22626 67 'paracentral lobule, part 2 (area 4 lower limb), left', 1.1 13662 180 'cingulate gyrus, part 3 (pregenual area 32), right', 0.9 10665 261 'Cerebellar lobule VIIb, vermis', -1.5 729 IG pre vs post IT 16 middle frontal gyrus, part 1 (dorsal area 9/46), right', -0.8 27567 24 'middle frontal gyrus, part 5 (ventrolateral area 8), right', -0.8 22437 40 'inferior frontal gyrus, part 6 (ventral area 44), right', -0.9 8262 54 'precentral gyrus, part 1 (area 4 head and face), right', -0.9 14175 64 'precentral gyrus, part 2 (caudal dorsolateral area 6), left', -1.3 18819 81 'middle temporal gyrus, part 1 (caudal area 21), left', -1.4 14472
    [Show full text]
  • Altered Resting State Connectivity of the Insular Cortex in Individuals with Fibromyalgia
    The Journal of Pain, Vol 15, No 8 (August), 2014: pp 815-826 Available online at www.jpain.org and www.sciencedirect.com Original Reports Altered Resting State Connectivity of the Insular Cortex in Individuals With Fibromyalgia Eric Ichesco,* Tobias Schmidt-Wilcke,*,** Rupal Bhavsar,*,y Daniel J. Clauw,* Scott J. Peltier,z Jieun Kim,x Vitaly Napadow,x,{,k Johnson P. Hampson,* Anson E. Kairys,*,yy David A. Williams,* and Richard E. Harris* *Department of Anesthesiology, Chronic Pain and Fatigue Research Center, University of Michigan, Ann Arbor, Michigan. yNeurology Department, University of Pennsylvania, Philadelphia, Pennsylvania. z Functional MRI Laboratory, University of Michigan, Ann Arbor, Michigan. xMGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts. {Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts. kDepartment of Radiology, Logan College of Chiropractic, Chesterfield, Missouri. **Department of Neurology, Bergmannsheil, Ruhr University Bochum, Bochum, Germany. yyDepartment of Psychology, University of Colorado Denver, Denver, Colorado. Abstract: The insular cortex (IC) and cingulate cortex (CC) are critically involved in pain perception. Previously we demonstrated that fibromyalgia (FM) patients have greater connectivity between the insula and default mode network at rest, and that changes in the degree of this connectivity were associated with changes in the intensity of ongoing clinical pain. In this study we more thoroughly evaluated the degree of resting-state connectivity to multiple regions of the IC in individuals with FM and healthy controls. We also investigated the relationship between connectivity, experimental pain, and current clinical chronic pain. Functional connectivity was assessed using resting-state functional magnetic resonance imaging in 18 FM patients and 18 age- and sex-matched healthy controls using predefined seed regions in the anterior, middle, and posterior IC.
    [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]
  • Functional Connectivity of the Precuneus in Unmedicated Patients with Depression
    Biological Psychiatry: CNNI Archival Report Functional Connectivity of the Precuneus in Unmedicated Patients With Depression Wei Cheng, Edmund T. Rolls, Jiang Qiu, Deyu Yang, Hongtao Ruan, Dongtao Wei, Libo Zhao, Jie Meng, Peng Xie, and Jianfeng Feng ABSTRACT BACKGROUND: The precuneus has connectivity with brain systems implicated in depression. METHODS: We performed the first fully voxel-level resting-state functional connectivity (FC) neuroimaging analysis of depression of the precuneus, with 282 patients with major depressive disorder and 254 control subjects. RESULTS: In 125 unmedicated patients, voxels in the precuneus had significantly increased FC with the lateral orbitofrontal cortex, a region implicated in nonreward that is thereby implicated in depression. FC was also increased in depression between the precuneus and the dorsolateral prefrontal cortex, temporal cortex, and angular and supramarginal areas. In patients receiving medication, the FC between the lateral orbitofrontal cortex and precuneus was decreased back toward that in the control subjects. In the 254 control subjects, parcellation revealed superior anterior, superior posterior, and inferior subdivisions, with the inferior subdivision having high connectivity with the posterior cingulate cortex, parahippocampal gyrus, angular gyrus, and prefrontal cortex. It was the ventral subdivision of the precuneus that had increased connectivity in depression with the lateral orbitofrontal cortex and adjoining inferior frontal gyrus. CONCLUSIONS: The findings support the theory that the system in the lateral orbitofrontal cortex implicated in the response to nonreceipt of expected rewards has increased effects on areas in which the self is represented, such as the precuneus. This may result in low self-esteem in depression. The increased connectivity of the precuneus with the prefrontal cortex short-term memory system may contribute to the rumination about low self-esteem in depression.
    [Show full text]
  • Anatomy and White Matter Connections of the Superior Frontal Gyrus
    Anatomy and White Matter Connections of the Superior Frontal Gyrus Robert G. Briggs, BS1; A. Basit Khan, MD5; Arpan R. Chakraborty, BS2; Carol J Abraham, BS2; Christopher D. Anderson, BA2; Patrick J. Karas, MD5; Phillip A. Bonney, MD1; Ali H. Palejwala, MD2; Andrew K. Conner, MD2; Daniel L. O’Donoghue, PhD3; and Michael E. Sughrue, MD4 1Department of Neurosurgery, University of Southern California, Los Angeles, California 2Department of Neurosurgery, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma 3Department of Cell Biology, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma 4Center for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Sydney, Australia 5Department of Neurosurgery, Baylor College of Medicine, Houston, Texas Running Title: SFG Subcortical Anatomy Keywords: neurology, neurosurgery, white matter, imaging, connectome Corresponding Author: Michael E. Sughrue, MD Suite 3, Level 7 Prince of Wales Private Hospital Barker Street, Randwick New South Wales, 2031 Australia Tel: 02 9650 4940 Fax: 02 9650 4902 Email: [email protected] This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process which may lead to differences between this version and the Version of Record. Please cite this article as doi: 10.1002/ca.23523 This article is protected by copyright. All rights reserved. Funding: None. Declaration of Interests: None. Anatomy and White Matter Connections of the Superior Frontal Gyrus ABSTRACT Introduction. The superior frontal gyrus (SFG) is an important region implicated in a variety of tasks including motor movement, working memory, resting-state and cognitive control. A detailed understanding of the subcortical white matter of the SFG could improve post-operative morbidity related to surgery around this gyrus.
    [Show full text]
  • Normal Cortical Anatomy
    Normal Cortical Anatomy MGH Massachusetts General Hospital Harvard Medical School NORMAL CORTICAL ANATOMY • Sagittal • Axial • Coronal • The Central Sulcus NP/MGH Sagittal Neuroanatomy NP/MGH Cingulate sulcus Superior frontal gyrus Marginal ramus of Cingulate sulcus Cingulate gyrus Paracentral lobule Superior parietal lobule Parietooccipital sulcus Cuneus Calcarine sulcus Lingual gyrus Subcallosal gyrus Gyrus rectus Fastigium, fourth ventricle NP/MGH Superior frontal gyrus Cingulate sulcus Precentral gyrus Marginal ramus of Cingulate gyrus Central sulcus Cingulate sulcus Superior parietal lobule Precuneus Parietooccipital sulcus Cuneus Calcarine sulcus Frontomarginal gyrus Lingual gyrus Caudothallamic groove Gyrus rectus NP/MGH Precentral sulcus Central sulcus Superior frontal gyrus Marginal ramus of Corona radiata Cingulate sulcus Superior parietal lobule Precuneus Parietooccipital sulcus Calcarine sulcus Inferior occipital gyrus Lingual gyrus NP/MGH Central sulcus Superior parietal lobule Parietooccipital sulcus Frontopolar gyrus Frontomarginal gyrus Superior occipital gyrus Middle occipital gyrus Medial orbital gyrus Lingual gyrus Posterior orbital gyrus Inferior occipital gyrus Inferior temporal gyrus Temporal horn, lateral ventricle NP/MGH Central sulcus Superior Temporal gyrus Middle Temporal gyrus Inferior Temporal gyrus NP/MGH Central sulcus Superior parietal gyrus Inferior frontal gyrus Frontomarginal gyrus Anterior orbital gyrus Superior occipital gyrus Middle occipital Posterior orbital gyrus gyrus Superior Temporal gyrus Inferior
    [Show full text]
  • Supplementary Figure 1 A
    100 r = 0.82 100 r = 0.87 100 r = 0.93 p = 0.002 p = 0.001 p < 0.001 90 90 90 80 80 80 VVIQ_1 VVIQ_2 VVIQ_1 70 70 70 60 60 60 55 60 65 70 75 80 85 90 95 100 55 60 65 70 75 80 85 90 95 100 55 60 65 70 75 80 85 90 95 100 VVIQ_2 VVIQ_3 VVIQ_3 100 100 100 r = 0.78 r = 0,85 R = 0.90 90 p = 0.005 90 p = 0.001 90 p < 0.001 80 80 80 70 70 70 VVIQ_S1 VVIQ_S1 60 60 VVIQ_S2 60 50 50 50 40 40 40 40 50 60 70 80 90 100 40 50 60 70 80 90 100 40 50 60 70 80 90 100 VVIQ_S2 VVIQ_S3 VVIQ_S3 Supplementary Figure 1 A. SES (Sensory Component) piercing durchstoßen hot heiss hammering hämmernd stinging stechend glowing glühend throbbing pochend tearing reißend burning brennend knocking klopfend cutting* * schneidend* 0 1 2 3 4 5 B. SES (Affective Component) disabling lähmend unbearable unerträglich terrible furchtbar torturing marternd enervating entnervend heavy schwer nasty scheusslich awful schauderhaft miserable elend murdering mörderisch violent heftig exhaustive erschöpfend cruel grausam excrutiating quälend 0 1 2 3 4 5 Supplementary Figure 2 Supplemental Table 1: Group level (N=10) brain activation during pain Imagination (A.), pain memory (B.) and pain imagination vs. pain memory (C.). A. Pain Imagination Cluster T-contrast Brain area BA x,y,z size t value Activations Right Hemisphere Frontal lobe 56,-2,16 5 4.47 Cerebellum anterior lobe, 2,-46,-6 22 6.48 Vermis 4-5 19 Cerebellum posterior lobe,inferior semi-lunar lobe 12,-72,-50 12 6.11 Activations Left Hemisphere Precentral gyrus (face) -54,-8,38 14 4.65 Postcentral gyrus (tooth) -60,-18,26 30 5.01
    [Show full text]
  • Core-Example1.Pdf
    ROI_IND NUM_V HEMISP TISSUE_ SUBGROUP_0 SUBGROUP_1 SUBGROUP_2 ROI_NAME EX OX HERE SEG 95 12871.8 B WM corpus callosum 71 4899.8 B GM Cerebellar Vermal Lobules I-V 73 2858.8 B GM Cerebellar Vermal Lobules VIII-X 72 2266.9 B GM Cerebellar Vermal Lobules VI-VII 39 54582.6 L GM CEREBELLUM Left Cerebellum Exterior 41 15500.7 L WM Left Cerebellum White Matter 38 54379.4 R GM Right Cerebellum Exterior 40 15458.7 R WM Right Cerebellum White Matter 30 585.9 L GM Left Accumbens Area 37 3578.9 L GM Left Caudate 56 1597.6 L GM Left Pallidum 58 4942.3 L GM Left Putamen BASAL_GANGLIA 23 526 R GM Right Accumbens Area 36 3651.5 R GM Right Caudate 55 1638.8 R GM Right Pallidum 57 4726 R GM Right Putamen 60 8574.1 L GM Left Thalamus Proper DEEP_GM 59 8256.3 R GM Right Thalamus Proper 92 2887.7 L WM anterior limb of internal capsule left 91 3393.3 R WM anterior limb of internal capsule right DEEP_WM_GM 90 673.6 L WM fornix left 89 517.5 R WM fornix right DEEP_WM posterior limb of internal capsule inc. cerebral 94 2416.3 L WM peduncle left posterior limb of internal capsule inc. cerebral 93 2480.5 R WM peduncle right 32 993.7 L GM Left Amygdala 75 586.5 L GM Left Basal Forebrain 48 3597.7 L GM Left Hippocampus 31 1021.3 R GM Right Amygdala 76 593.1 R GM Right Basal Forebrain 47 3704.7 R GM Right Hippocampus 105 1897.7 L GM Left AOrG anterior orbital gyrus 137 3015.9 L GM Left LOrG lateral orbital gyrus 147 4637.3 L GM Left MOrG medial orbital gyrus 179 2915.7 L GM FRONTAL_INFERIOR_G Left POrG posterior orbital gyrus 104 2244.9 R GM M Right AOrG anterior orbital
    [Show full text]