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1. Full Text The brain functional connectome is robustly altered by lack of sleep
by Kaufmann, Tobias and Elvsåshagen, Torbjørn and Alnæs, Dag and Zak, Nathalia and Pedersen, Per Ø and Norbom, Linn B and Quraishi, Sophia H and Tagliazucchi, Enzo and Laufs, Helmut and Bjørnerud, Atle and Malt, Ulrik F and Andreassen, Ole A and Roussos, Evangelos and Duff, Eugene P and Smith, Stephen M and Groote, Inge R and Westlye, Lars T
NeuroImage (Orlando, Fla.), ISSN 1053-8119, 02/2016, Volume 127, pp. 324 - 332
fMRI-based connectivity | Circadian variability | Sleep deprivation | Machine learning | FMRI-based connectivity | Neuroimaging | Neurosciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Young Adult | Magnetic Resonance Imaging | Sleep Deprivation - physiopathology | Image Processing, Computer-Assisted | Humans | Adolescent | Adult | Male | Connectome | Sleep - physiology | Brain - physiology | Neural Pathways - physiology | Aluminum compounds | Studies | Automation | Sleep | Brain research | Memory | Classification | Connectivity | Index Medicus | circadian variability | machine learning
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2. Full Text Smaller stress-sensitive hippocampal subfields in women with borderline personality disorder without posttraumatic stress disorder
by Bøen, Erlend, MD and Elvsåshagen, Torbjørn, MD and Boye, Birgitte, MD, PhD and Andersson, Stein, PhD and Malt, Ulrik F., MD, PhD and Karterud, Sigmund, MD, PhD and Westlye, Lars T., PhD and Hummelen, Benjamin, MD, PhD and Hol, Per K., MD, PhD
Journal of psychiatry & neuroscience, ISSN 1180-4882, 2014, Volume 39, Issue 2, pp. 127 - 134
Psychiatry | Medical Education | Neurosciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Science & Technology | Fundamental and applied biological sciences. Psychology | Anxiety disorders. Neuroses | Psychology. Psychoanalysis. Psychiatry | Psychoanalysis | Adult and adolescent clinical studies | Psychology. Psychophysiology | Psychopathology. Psychiatry | Post-traumatic stress disorder | Biological and medical sciences | Medical sciences | Age Factors | Stress Disorders, Post-Traumatic - pathology | Comorbidity | Borderline Personality Disorder - drug therapy | Humans | Self Report | Stress Disorders, Post-Traumatic - epidemiology | Organ Size | Psychometrics | Hippocampus - pathology | Borderline Personality Disorder - epidemiology | Stress, Psychological - pathology | Magnetic Resonance Imaging | Image Processing, Computer-Assisted | Borderline Personality Disorder - pathology | Adult | Female | Surveys and Questionnaires | Hippocampus - growth & development | Demographic aspects | Physiological aspects | Diagnosis | Hippocampus (Brain) | Stress (Psychology) | Borderline personality disorder | Studies | Automation | Emotional disorders | Mortality | Personality disorders | Stress | Index Medicus | Rape | Survivors | Neglect | Brain Imaging | Assault | Norwegians | PTSD (DSM-IV) | Child Abuse | Emotional Abuse | Etiology | Mood disorders | Borderline Personality Disorder | Adults | Family Violence | Complex PTSD | Females | Hippocampus | Research Papers
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3. Full Text Alterations in Schizophrenia-Associated Genes Can Lead to Increased Power in Delta Oscillations
by Mäki-Marttunen, Tuomo and Krull, Florian and Bettella, Francesco and Hagen, Espen and Næss, Solveig and Ness, Torbjørn V and Moberget, Torgeir and Elvsåshagen, Torbjørn and Metzner, Christoph and Devor, Anna and Edwards, Andrew G and Fyhn, Marianne and Djurovic, Srdjan and Dale, Anders M and Andreassen, Ole A and Einevoll, Gaute T
Cerebral cortex (New York, N.Y. 1991), ISSN 1047-3211, 02/2019, Volume 29, Issue 2, pp. 875 - 891
forward modeling of EEG | functional genomics | multicompartmental neuron modeling | schizophrenia genetics | ion channels | Neurosciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Science & Technology | Humans | Male | Delta Rhythm - physiology | Nerve Net - physiology | Genetic Variation - physiology | Visual Cortex - physiology | Young Adult | Animals | Schizophrenia - genetics | Schizophrenia - physiopathology | Adult | Female | Mice | Models, Neurological | Index Medicus | Original
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4. Full Text Telomere length is associated with childhood trauma in patients with severe mental disorders
by Aas, Monica and Elvsashagen, Torbjgrn and Westlye, Lars T and Kaufmann, Tobias and Athanasiu, Lavinia and Djurovic, Srdjan and Melle, Ingrid and van der Meer, Dennis and Martin-Ruiz, Carmen and Steen, Nils Eiel and Agartz, Ingrid and Aneassen, Ole A
Translational psychiatry, ISSN 2158-3188, 03/2019, Volume 9, Issue 1, pp. 97 - 97
MORTALITY | SCHIZOPHRENIA | VOLUMES | STRESS | BIPOLAR | MALTREATMENT | Life Sciences & Biomedicine | Psychiatry | Science & Technology | Brain - diagnostic imaging | Humans | Male | Schizophrenia - pathology | Bipolar Disorder - genetics | Case-Control Studies | Young Adult | Magnetic Resonance Imaging | Telomere - pathology | Telomere Shortening | Schizophrenia - genetics | Child Abuse - psychology | Norway | Bipolar Disorder - pathology | Brain - pathology | Adult | Female | Surveys and Questionnaires | Child | Mental disorders | Child abuse & neglect | Nuclear magnetic resonance--NMR | Index Medicus
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5. Full Text Common brain disorders are associated with heritable patterns of apparent aging of the brain
by Kaufmann, Tobias and van der Meer, Dennis and Doan, Nhat Trung and Schwarz, Emanuel and Lund, Martina J and Agartz, Ingrid and Alnæs, Dag and Barch, Deanna M and Baur-Streubel, Ramona and Bertolino, Alessano and Bettella, Francesco and Beyer, Mona K and Bøen, Erlend and Borgwardt, Stefan and Brandt, Christine L and Buitelaar, Jan and Celius, Elisabeth G and Cervenka, Simon and Conzelmann, Annette and Córdova-Palomera, Aldo and Dale, Anders M and de Quervain, Dominique J. F and Carlo, PasqualeDi and Djurovic, Srdjan and Dørum, Erlend S and Eisenacher, Sarah and Elvsåshagen, Torbjørn and Espeseth, Thomas and Fatouros-Bergman, Helena and Flyckt, Lena and Franke, Barbara and Frei, Oleksan and Haatveit, Beathe and Håberg, Asta K and Harbo, Hanne F and Hartman, Catharina A and Heslenfeld, Dirk and Hoekstra, Pieter J and Høgestøl, Einar A and Jernigan, Terry L and Jonassen, Rune and Jönsson, Erik G and Kirsch, Peter and Kłoszewska, Iwona and Kolskår, Knut K and Lanø, Nils Inge and Hellard, StephanieLe and Lesch, Klaus-Peter and Lovestone, Simon and Oosterlaan, Jaap and Persson, Karin and Smeland, Olav B and Wang, Lei and Ziegler, Georg C and Zink, Mathias and Aneassen, Ole A and Westlye, Lars T and Karolinska Schizophrenia Project K and Karolinska Schizophrenia Project (KaSP)
Nature neuroscience, ISSN 1097-6256, 10/2019, Volume 22, Issue 10, pp. 1617 - 1623
yes | Neurosciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Science & Technology | Brain - diagnostic imaging | Humans | Middle Aged | Brain Diseases - genetics | Child, Preschool | Infant | Male | Schizophrenia - pathology | Brain - growth & development | Young Adult | Mental Disorders - genetics | Schizophrenia - genetics | Aging - genetics | Aged, 80 and over | Adult | Female | Child | Genome-Wide Association Study | Brain Diseases - diagnostic imaging | Sex Characteristics | Aging - pathology | Neuropsychological Tests | Magnetic Resonance Imaging | Algorithms | Adolescent | Mental Disorders - diagnostic imaging | Aged | Brain | Pleiotropy | Functional anatomy | Magnetic resonance imaging | Disorders | Aging | Neurodevelopmental disorders | Risk analysis | Risk factors | Structure-function relationships | Index Medicus | Brain age gaps | Genetic architecture | Brain disorders | genetic architecture | brain disorders | pleiotropy | Brain age gap | Medicin och hälsovetenskap
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6. Full Text Using structural MRI to identify bipolar disorders – 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group
by Nunes, A and Schnack, Hugo and Ching, Christopher and Agartz, Ingrid and Akudjedu, T.N and Alda, Martin and Alnæs, D and Alonso-Lana, S and Bauer, J and Baune, B.T and Bøen, Erlend and Bonnin, C.M and Busatto, G.F and Canales-Roíguez, E.J and Cannon, Dara and Caseras, Xavier and Chaim-Avancini, T.M and Dannlowski, U and Díaz-Zuluaga, A.M and Dietsche, B and Doan, N.T and Duchesnay, E and Elvsåshagen, T and Emden, D and Eyler, L.T and Fatjó-Vilas, M and Favre, P and Foley, S.F and Fullerton, J.M and Glahn, David and Goikolea, J.M and Grotegerd, D and Hahn, T and Henry, C and Hibar, D.P and Houenou, J and Howells, F.M and Jahanshad, Neda and Kaufmann, T and Kenney, J and Kircher, T.T.J and Krug, A and Lagerberg, T.V and Lenroot, Rhoshel and López-Jaramillo, C and Machado-Vieira, R and Malt, Ulrik and McDonald, Colm and Mitchell, P.B and Mwangi, Benson and Nabulsi, L and Opel, N and Overs, B.J and Pineda-Zapata, J.A and Pomarol-Clotet, E and Redlich, R and Roberts, G and Rosa, P.G and Salvador, R and Satterthwaite, Theodore and Soares, J.C and Stein, Dan and Temmingh, H.S and Trappenberg, T and Uhlmann, A and van Haren, N.E.M and Vieta, Eduard and Westlye, Lars and Wolf, D.H and Yüksel, D and Zanetti, M.V and Aneassen, Ole and Thompson, Paul and Hajek, Tomas and ENIGMA Bipolar Disorders Working G and ENIGMA Bipolar Disorders Working Group and for the ENIGMA Bipolar Disorders Working Group
Molecular psychiatry, ISSN 1359-4184, 01/2018, Volume 25, Issue 9, pp. 2130 - 2143
Biochemistry & Molecular Biology | Neurosciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Psychiatry | Science & Technology | Consortia | Brain | Medical research | Magnetic resonance imaging | Machine learning | Medicine, Experimental | Bipolar disorder | Neuroimaging | Brain architecture | Medical imaging | Anatomy | Morbidity | Learning algorithms | Accuracy | Anticonvulsants | Classification | Biomarkers | Index Medicus | Diagnostic markers
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7. Full Text Biophysical Psychiatry-How Computational Neuroscience Can Help to Understand the Complex Mechanisms of Mental Disorders
by Maki-Marttunen, T and Kaufmann, T and Elvsashagen, T and Devor, A and Djurovic, S and Westlye, L.T and Linne, M.L and Rietschel, M and Schubert, D and Borgwardt, S and Efrim-Budisteanu, M and Bettella, F and Halnes, G and Hagen, E and Naess, S and Ness, T.V and Moberget, T and Metzner, C and Edwards, A.G and Fyhn, M and Dale, A.M and Einevoll, G.T and Aneassen, O.A
Frontiers in psychiatry, ISSN 1664-0640, 2019, Volume 10, pp. 534 - 534
Life Sciences & Biomedicine | Psychiatry | Science & Technology | Medical research | Neurosciences | Genomics | Medicine, Experimental | Genetic aspects | Disease susceptibility | Mental illness | Care and treatment | Brain research | Research | Genetic variation | computational modelling | schizophrenia | psychotic disorders | ion channels | genome-wide association study
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