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2. Neurostructural subgroup in 4291 individuals with schizophrenia identified using the subtype and stage inference algorithm.

Author

Jiang, Y, Luo, C, Wang, J, Palaniyappan, L, Chang, X, Xiang, S, Zhang, J, Duan, M, Huang, H, Gaser, C, Nemoto, K, Miura, K, Hashimoto, R, Westlye, LT, Richard, G, Fernandez-Cabello, S, Parker, N, Andreassen, OA, Kircher, T, Nenadić, I, Stein, F, Thomas-Odenthal, F, Teutenberg, L, Usemann, P, Dannlowski, U, Hahn, T, Grotegerd, D, Meinert, S, Lencer, R, Tang, Y, Zhang, T, Li, C, Yue, W, Zhang, Y, Yu, X, Zhou, E, Lin, C-P, Tsai, S-J, Rodrigue, AL, Glahn, D, Pearlson, G, Blangero, J, Karuk, A, Pomarol-Clotet, E, Salvador, R, Fuentes-Claramonte, P, Garcia-León, MÁ, Spalletta, G, Piras, F, Vecchio, D, Banaj, N, Cheng, J, Liu, Z, Yang, J, Gonul, AS, Uslu, O, Burhanoglu, BB, Uyar Demir, A, Rootes-Murdy, K, Calhoun, VD, Sim, K, Green, M, Quidé, Y, Chung, YC, Kim, W-S, Sponheim, SR, Demro, C, Ramsay, IS, Iasevoli, F, de Bartolomeis, A, Barone, A, Ciccarelli, M, Brunetti, A, Cocozza, S, Pontillo, G, Tranfa, M, Park, MTM, Kirschner, M, Georgiadis, F, Kaiser, S, Van Rheenen, TE, Rossell, SL, Hughes, M, Woods, W, Carruthers, SP, Sumner, P, Ringin, E, Spaniel, F, Skoch, A, Tomecek, D, Homan, P, Homan, S, Omlor, W, Cecere, G, Nguyen, DD, Preda, A, Thomopoulos, SI, Jahanshad, N, Cui, L-B, Yao, D, Thompson, PM, Turner, JA, van Erp, TGM, Cheng, W, ENIGMA Schizophrenia Consortium, Feng, J, ZIB Consortium, Jiang, Y, Luo, C, Wang, J, Palaniyappan, L, Chang, X, Xiang, S, Zhang, J, Duan, M, Huang, H, Gaser, C, Nemoto, K, Miura, K, Hashimoto, R, Westlye, LT, Richard, G, Fernandez-Cabello, S, Parker, N, Andreassen, OA, Kircher, T, Nenadić, I, Stein, F, Thomas-Odenthal, F, Teutenberg, L, Usemann, P, Dannlowski, U, Hahn, T, Grotegerd, D, Meinert, S, Lencer, R, Tang, Y, Zhang, T, Li, C, Yue, W, Zhang, Y, Yu, X, Zhou, E, Lin, C-P, Tsai, S-J, Rodrigue, AL, Glahn, D, Pearlson, G, Blangero, J, Karuk, A, Pomarol-Clotet, E, Salvador, R, Fuentes-Claramonte, P, Garcia-León, MÁ, Spalletta, G, Piras, F, Vecchio, D, Banaj, N, Cheng, J, Liu, Z, Yang, J, Gonul, AS, Uslu, O, Burhanoglu, BB, Uyar Demir, A, Rootes-Murdy, K, Calhoun, VD, Sim, K, Green, M, Quidé, Y, Chung, YC, Kim, W-S, Sponheim, SR, Demro, C, Ramsay, IS, Iasevoli, F, de Bartolomeis, A, Barone, A, Ciccarelli, M, Brunetti, A, Cocozza, S, Pontillo, G, Tranfa, M, Park, MTM, Kirschner, M, Georgiadis, F, Kaiser, S, Van Rheenen, TE, Rossell, SL, Hughes, M, Woods, W, Carruthers, SP, Sumner, P, Ringin, E, Spaniel, F, Skoch, A, Tomecek, D, Homan, P, Homan, S, Omlor, W, Cecere, G, Nguyen, DD, Preda, A, Thomopoulos, SI, Jahanshad, N, Cui, L-B, Yao, D, Thompson, PM, Turner, JA, van Erp, TGM, Cheng, W, ENIGMA Schizophrenia Consortium, Feng, J, and ZIB Consortium

Abstract

Machine learning can be used to define subtypes of psychiatric conditions based on shared biological foundations of mental disorders. Here we analyzed cross-sectional brain images from 4,222 individuals with schizophrenia and 7038 healthy subjects pooled across 41 international cohorts from the ENIGMA, non-ENIGMA cohorts and public datasets. Using the Subtype and Stage Inference (SuStaIn) algorithm, we identify two distinct neurostructural subgroups by mapping the spatial and temporal 'trajectory' of gray matter change in schizophrenia. Subgroup 1 was characterized by an early cortical-predominant loss with enlarged striatum, whereas subgroup 2 displayed an early subcortical-predominant loss in the hippocampus, striatum and other subcortical regions. We confirmed the reproducibility of the two neurostructural subtypes across various sample sites, including Europe, North America and East Asia. This imaging-based taxonomy holds the potential to identify individuals with shared neurobiological attributes, thereby suggesting the viability of redefining existing disorder constructs based on biological factors.

Published
2024

6. A generalizable normative deep learning approach for the discrimination of psychiatric disorders based on neuroanatomy

Author

Sampaio, I., primary, Tassi, E., additional, Bellani, M., additional, Nenadic', I., additional, Benedetti, F., additional, Crespo-Facorro, B., additional, Gaser, C., additional, Poletti, S., additional, Rossetti, M.G., additional, Perlini, C., additional, Torrente, Y., additional, Bianchi, A. Maria, additional, Maggioni, E., additional, and Brambilla, P., additional

Published
2023
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15. Cortical and subcortical neuroanatomical signatures of schizotypy in 3004 individuals assessed in a worldwide ENIGMA study

Author

Kirschner, M, Hodzic-Santor, B, Antoniades, M, Nenadic, I, Kircher, T, Krug, A, Meller, T, Grotegerd, D, Fornito, A, Arnatkeviciute, A, Bellgrove, MA, Tiego, J, Dannlowski, U, Koch, K, Huelsmann, C, Kugel, H, Enneking, V, Klug, M, Leehr, EJ, Boehnlein, J, Gruber, M, Mehler, D, DeRosse, P, Moyett, A, Baune, BT, Green, M, Quide, Y, Pantelis, C, Chan, R, Wang, Y, Ettinger, U, Debbane, M, Derome, M, Gaser, C, Besteher, B, Diederen, K, Spencer, TJ, Fletcher, P, Roessler, W, Smigielski, L, Kumari, V, Premkumar, P, Park, HRP, Wiebels, K, Lemmers-Jansen, I, Gilleen, J, Allen, P, Kozhuharova, P, Marsman, J-B, Lebedeva, I, Tomyshev, A, Mukhorina, A, Kaiser, S, Fett, A-K, Sommer, I, Schuite-Koops, S, Paquola, C, Lariviere, S, Bernhardt, B, Dagher, A, Grant, P, van Erp, TGM, Turner, JA, Thompson, PM, Aleman, A, Modinos, G, Kirschner, M, Hodzic-Santor, B, Antoniades, M, Nenadic, I, Kircher, T, Krug, A, Meller, T, Grotegerd, D, Fornito, A, Arnatkeviciute, A, Bellgrove, MA, Tiego, J, Dannlowski, U, Koch, K, Huelsmann, C, Kugel, H, Enneking, V, Klug, M, Leehr, EJ, Boehnlein, J, Gruber, M, Mehler, D, DeRosse, P, Moyett, A, Baune, BT, Green, M, Quide, Y, Pantelis, C, Chan, R, Wang, Y, Ettinger, U, Debbane, M, Derome, M, Gaser, C, Besteher, B, Diederen, K, Spencer, TJ, Fletcher, P, Roessler, W, Smigielski, L, Kumari, V, Premkumar, P, Park, HRP, Wiebels, K, Lemmers-Jansen, I, Gilleen, J, Allen, P, Kozhuharova, P, Marsman, J-B, Lebedeva, I, Tomyshev, A, Mukhorina, A, Kaiser, S, Fett, A-K, Sommer, I, Schuite-Koops, S, Paquola, C, Lariviere, S, Bernhardt, B, Dagher, A, Grant, P, van Erp, TGM, Turner, JA, Thompson, PM, Aleman, A, and Modinos, G

Abstract

Neuroanatomical abnormalities have been reported along a continuum from at-risk stages, including high schizotypy, to early and chronic psychosis. However, a comprehensive neuroanatomical mapping of schizotypy remains to be established. The authors conducted the first large-scale meta-analyses of cortical and subcortical morphometric patterns of schizotypy in healthy individuals, and compared these patterns with neuroanatomical abnormalities observed in major psychiatric disorders. The sample comprised 3004 unmedicated healthy individuals (12-68 years, 46.5% male) from 29 cohorts of the worldwide ENIGMA Schizotypy working group. Cortical and subcortical effect size maps with schizotypy scores were generated using standardized methods. Pattern similarities were assessed between the schizotypy-related cortical and subcortical maps and effect size maps from comparisons of schizophrenia (SZ), bipolar disorder (BD) and major depression (MDD) patients with controls. Thicker right medial orbitofrontal/ventromedial prefrontal cortex (mOFC/vmPFC) was associated with higher schizotypy scores (r = 0.067, pFDR = 0.02). The cortical thickness profile in schizotypy was positively correlated with cortical abnormalities in SZ (r = 0.285, pspin = 0.024), but not BD (r = 0.166, pspin = 0.205) or MDD (r = -0.274, pspin = 0.073). The schizotypy-related subcortical volume pattern was negatively correlated with subcortical abnormalities in SZ (rho = -0.690, pspin = 0.006), BD (rho = -0.672, pspin = 0.009), and MDD (rho = -0.692, pspin = 0.004). Comprehensive mapping of schizotypy-related brain morphometry in the general population revealed a significant relationship between higher schizotypy and thicker mOFC/vmPFC, in the absence of confounding effects due to antipsychotic medication or disease chronicity. The cortical pattern similarity between schizotypy and schizophrenia yields new insights into a dimensional neurobiological continuity across the extended psychosis phenotype.

Published
2022

21. Optimal Blood Pressure Keeps Our Brains Younger

Author

Cherbuin, N, Walsh, EI, Shaw, M, Luders, E, Anstey, KJ, Sachdev, PS, Abhayaratna, WP, Gaser, C, Cherbuin, N, Walsh, EI, Shaw, M, Luders, E, Anstey, KJ, Sachdev, PS, Abhayaratna, WP, and Gaser, C

Abstract

Background: Elevated blood pressure (BP) is a major health risk factor and the leading global cause of premature death. Hypertension is also a risk factor for cognitive decline and dementia. However, when elevated blood pressure starts impacting cerebral health is less clear. We addressed this gap by estimating how a validated measure of brain health relates to changes in BP over a period of 12 years. Methods: Middle-age (44–46 years at baseline, n = 335, 52% female) and older-age (60–64 years, n = 351, 46% female) cognitively intact individuals underwent up to four brain scans. Brain health was assessed using a machine learning approach to produce an estimate of “observed” age (BrainAGE), which can be contrasted with chronological age. Longitudinal associations between blood pressures and BrainAGE were assessed with linear mixed-effects models. Results: A progressive increase in BP was observed over the follow up (MAP = 0.8 mmHg/year, SD = 0.92; SBP = 1.41 mmHg/year, SD = 1.49; DBP = 0.61 mmHg/year, SD = 0.78). In fully adjusted models, every additional 10 mmHg increase in blood pressure (above 90 for mean, 114 for systolic, and 74 for diastolic blood pressure) was associated with a higher BrainAGE by 65.7 days for mean, and 51.1 days for systolic/diastolic blood pressure. These effects occurred across the blood pressure range and were not exclusively driven by hypertension. Conclusion: Increasing blood pressure is associated with poorer brain health. Compared to a person becoming hypertensive, somebody with an ideal BP is predicted to have a brain that appears more than 6 months younger at midlife.

Published
2021

22. Cortical and Subcortical Neuroanatomical Signatures of Schizotypy in 2,952 Individuals Assessed in a Worldwide ENIGMA Study

Author

Kirschner, M, Hodzic-Santor, B, Antoniades, M, Nenadic, I, Kircher, T, Krug, A, Fornito, A, Arnatkeviciute, A, Dannlowski, U, DeRosse, P, Baune, BT, Green, M, Quide, Y, Pantelis, C, Chan, R, Ettinger, U, Debbane, M, Derome, M, Gaser, C, Besteher, B, Diederen, K, Spencer, TJ, Fletcher, P, Roessler, W, Kumari, V, Park, H, Lemmers-Jansen, I, Gilleen, J, Allen, P, Marsman, J-B, Lebedeva, I, Kaiser, S, Fett, A-K, Sommer, I, Lariviere, S, Bernhardt, BC, Dagher, A, van Erp, TGM, Turner, JA, Thompson, PM, Aleman, A, Kirschner, M, Hodzic-Santor, B, Antoniades, M, Nenadic, I, Kircher, T, Krug, A, Fornito, A, Arnatkeviciute, A, Dannlowski, U, DeRosse, P, Baune, BT, Green, M, Quide, Y, Pantelis, C, Chan, R, Ettinger, U, Debbane, M, Derome, M, Gaser, C, Besteher, B, Diederen, K, Spencer, TJ, Fletcher, P, Roessler, W, Kumari, V, Park, H, Lemmers-Jansen, I, Gilleen, J, Allen, P, Marsman, J-B, Lebedeva, I, Kaiser, S, Fett, A-K, Sommer, I, Lariviere, S, Bernhardt, BC, Dagher, A, van Erp, TGM, Turner, JA, Thompson, PM, and Aleman, A

Published
2021

26. Neuroanatomical Correlates of Psychotic-Like Experiences Assessed in 2,695 Individuals via the ENIGMA Consortium

Author

Antoniades, M, Nenadic, I, Kircher, T, Krug, A, Fornito, A, Dannlowski, U, DeRosse, P, Baune, B, Green, M, Quide, Y, Pantelis, C, Chan, R, Ettinger, U, Debbane, M, Gaser, C, Besteher, B, Diederen, K, Spencer, T, Rossler, W, Kumari, V, Park, H, Lemmers, I, Allen, P, Marsman, J-B, Gilleen, J, Kirschner, M, Dagher, A, Lebedeva, I, Kaiser, S, Fett, A-K, Sommer, I, van Erp, T, Turner, J, Thompson, PM, Aleman, A, Modinos, G, and ENIGMA Schizotypy Working Group

Subjects
neuroanatomy, schizotypy, psychosis, ENIGMA Consortium, Biological Psychiatry, structural MRI
Abstract

Background: Recent meta-analytical evidence indicates that cortical thickness abnormalities in schizophrenia are influenced by illness severity and antipsychotic medication exposure. Schizotypy research allows investigating the neuroanatomical correlates of psychotic-like experiences without illness- and treatment-related confounders. Here we present the first large-scale meta-analysis of cortical thickness in schizotypy across 23 datasets worldwide. Methods: The study involved structural MRI scans from 2,695 healthy individuals (mean [range] age, 29.1 [17-55.8], 46.3% male) who also completed self-report schizotypy questionnaires. Each site used FreeSurfer to extract cortical thickness for 70 Desikan-Killiany atlas regions (34 regions per hemisphere + left and right hemisphere mean thickness), and performed partial correlation analyses with total schizotypy scores in R to predict left, right and mean cortical thickness by region, adjusting by sex and age. Random-effects meta-analyses of partial correlation effect sizes for each region were performed using R’s metafor package. Results: Schizotypy scores were positively associated with mean cortical thickness of the medial orbitofrontal cortex (r=0.077; pFDR=0.006) and the frontal pole (r=0.073; pFDR=0.006). By hemisphere, schizotypy was associated with cortical thickness of the left medial orbitofrontal cortex (r=0.066; pFDR=0.044), and at trend-level with the right medial orbitofrontal cortex and left frontal pole (both r=0.062; pFDR=0.053). Conclusions: Worldwide cooperative analyses of neuroimaging data shows that subclinical psychotic-like experiences are associated with greater prefrontal cortical thickness. The directionality of the effects is opposite to that of thinner cortex in schizophrenia. Given that accelerated prefrontal thinning has been associated with progression to psychosis in at-risk individuals, our findings may reflect mechanisms of resilience in schizotypy. Supported By GM is supported by a Sir Henry Dale Fellowship, jointly funded by The Wellcome Trust and The Royal Society. Keyword, ENIGMA Consortium

Published
2020

27. M156. CORTICAL NEUROANATOMICAL SIGNATURE OF SCHIZOTYPY IN 2,695 INDIVIDUALS ASSESSED IN A WORLDWIDE ENIGMA STUDY

Author

Antoniades, M, Nenadic, I, Kircher, T, Krug, A, Meller, T, Grotegerd, D, Fornito, A, Arnatkeviciute, A, Dannlowski, U, DeRosse, P, Moyett, A, Baune, B, Green, M, Quide, Y, Pantelis, C, Chan, RCK, Wang, Y, Ettinger, U, Debbane, M, Derome, M, Gaser, C, Besteher, B, Diederen, K, Spencer, T, Rössler, W, Smigielski, L, Kumari, V, Park, H, Wiebels, K, Lemmers-Jansen, I, Allen, P, Kozhuharova, P, Marsman, J-B, Gilleen, J, Kirschner, M, Dagher, A, Lebedeva, I, Tomyshev, A, Kaiser, S, Fett, A-K, Sommer, I, van Erp, TGM, Turner, JA, Thompson, PM, Aleman, A, Modinos, G, Antoniades, M, Nenadic, I, Kircher, T, Krug, A, Meller, T, Grotegerd, D, Fornito, A, Arnatkeviciute, A, Dannlowski, U, DeRosse, P, Moyett, A, Baune, B, Green, M, Quide, Y, Pantelis, C, Chan, RCK, Wang, Y, Ettinger, U, Debbane, M, Derome, M, Gaser, C, Besteher, B, Diederen, K, Spencer, T, Rössler, W, Smigielski, L, Kumari, V, Park, H, Wiebels, K, Lemmers-Jansen, I, Allen, P, Kozhuharova, P, Marsman, J-B, Gilleen, J, Kirschner, M, Dagher, A, Lebedeva, I, Tomyshev, A, Kaiser, S, Fett, A-K, Sommer, I, van Erp, TGM, Turner, JA, Thompson, PM, Aleman, A, and Modinos, G

Abstract

Background Cortical neuroanatomical abnormalities have been reported along a continuum between individuals with chronic schizophrenia, first-episode psychosis, clinical high risk for psychosis, and healthy individuals self-reporting subclinical psychotic-like experiences (or schizotypy). Recently, the Schizophrenia Working Group within the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) consortium provided meta-analytic evidence for robust cortical thickness abnormalities in schizophrenia, while also indicating that these abnormalities are influenced by illness severity and treatment with antipsychotic medications. In this context, schizotypy research allows the investigation of cortical neuroanatomy associated with the expression of subclinical psychotic-like symptoms without the potential influence of a psychotic illness, its severity, or the use of antipsychotics. This study presents the first large-scale imaging meta-analysis of cortical thickness in schizotypy using standardized methods from 23 datasets worldwide. Methods Cortical thickness and surface area were assessed in MRI scans of 2,695 healthy individuals (mean [range] age of 29.1 [17–55.8], 46.3% male) who had also completed validated self-report schizotypy questionnaires. Each site processed their local T1-weighted MRI scans using FreeSurfer and, following the protocol outlined in the ENIGMA Schizophrenia Working Group study, extracted cortical thickness for 70 Desikan-Killiany (DK) atlas regions (34 regions per hemisphere + left and right hemisphere mean thickness). At each site, partial correlation analyses were performed between regional cortical thickness by ROI and total schizotypy scores in R, predicting the left, right and mean cortical thickness, adjusting for sex, age and site. Random-effects meta-analyses of partial correlation effect sizes for each of the DK atlas regions were performed using R’s metafor package. False discovery rate (pFDR < .05) was used to c

Published
2020

28. Bilateral grey-matter increase in the putamen in primary blepharospasm

Author

Etgen, T., Muhlau, M., Gaser, C., and Sander, D.

Subjects
Magnetic resonance imaging -- Analysis, Eyelid diseases -- Development and progression, Eyelid diseases -- Diagnosis, Eyelid diseases -- Research, Brain mapping -- Analysis, Health, Psychology and mental health
Published
2006

36. Structural Brain Changes in Tinnitus

Author

Mühlau, M., Rauschecker, J. P., Oestreicher, E., Gaser, C., Röttinger, M., Wohlschläger, A. M., Simon, F., Etgen, T., Conrad, B., and Sander, D.

Published
2006

41. Sexual regional dimorphism of post-adolescent and middle age brain maturation

Author

Pigoni, A., primary, Maggioni, E., additional, Crespo-Facorro, B., additional, Nenadic, I., additional, Benedetti, F., additional, Gaser, C., additional, Sauer, H., additional, Roiz-Santiañez, R., additional, Poletti, S., additional, Rossetti, M.G., additional, Bellani, M., additional, Perlini, C., additional, Ruggeri, M., additional, Diwadkar, V.A., additional, and Brambilla, P., additional

Published
2019
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42. ZNF804A genetic variation (rs1344706) affects brain grey but not white matter in schizophrenia and healthy subjects

Author

Nenadic, I., Maitra, R., Basmanav, F. B., Schultz, C. C., Lorenz, C., Schachtzabel, C., Smesny, S., Nöthen, M. M., Cichon, S., Reichenbach, J. R., Sauer, H., Schlösser, R. G. M., and Gaser, C.

Abstract

Background Genetic variation in the gene encoding ZNF804A, a risk gene for schizophrenia, has been shown to affect brain functional endophenotypes of the disorder, while studies of white matter structure have been inconclusive. Method We analysed effects of ZNF804A single nucleotide polymorphism rs1344706 on grey and white matter using voxel-based morphometry (VBM) in high-resolution T1-weighted magnetic resonance imaging scans of 62 schizophrenia patients and 54 matched healthy controls. Results We found a significant (p

Published
2017

43. Corticale Veränderungen im Temporalpol bei Anosmikern und Hyposmikern mit depressiven Symptomen – Schnittstelle zwischen Geruchssinn und Emotion?

Author

Bitter, T, Besteher, B, Gaser, C, Dobel, C, Ivansic, D, Nenadic, I, and Guntinas-Lichius, O

Subjects
ddc: 610, 610 Medical sciences, Medicine
Abstract

Patienten mit chronischer Anosmie oder Hyposmie zeigen diskrete hirnstrukturelle Veränderungen in sekundär-sensorischen olfaktorischen aber auch limbischen Arealen (Bitter et al., 2010a,b). Diese Patienten haben vermehrt depressive Symptome, während umgekehrt Patienten mit Major Depression Defizite des Geruchsempfindens zeigen, welche sich unter antidepressiver Behandlung zurückbilden. Ausgehend von diesen Vorbefunden untersuchten wir mittels voxel-basierter Morphometrie, einem automatisierten Verfahren zur Analyse hochauflösender T1-cMRT, die Korrelation von depressiven Symptomen und Hirnstruktur bei 31 Patienten mit Riechminderung seit über 6m (ermittelt durch Sniffin´ Sticks Test, mittlerer SDI 21,1 Punkte, SD 2,1), deren Stimmung mittels Becks Depressionsinventar (BDI) erfasst wurde (mittlerer BDI 3,3, SD 3,3). Das corticale Volumen wurden mittels CAT 12 toolbox (basierend auf SPM12) unter Anwendung eines allgemeinen linearen Modells mit den BDI-Werten korreliert. Wir fanden eine signifikante negative Korrelation des corticalen Volumen im rechten Temporalpol mit dem BDI-Score (p < 0.05, FWE-korrigiert auf cluster-level). Der Temporalpol ist ein komplexes Areal, das funktionell neuroanatomisch sowohl olfaktorische Sinneseindrücke als auch emotionale Prozesse verarbeitet und miteinander verknüpft. Defizite in diesem Areal zeigen sich auch bei ersterkrankten depressiven Patienten. Unsere Befunde legen nahe, dass die Variation der grauen Substanz im Temporalpol die Assoziation zwischen Geruchsminderung und emotionaler Beeinträchtigung vermitteln könnte. Weitere Studien mit größeren Fallzahlen sind notwendig, um diese wichtige Schnittstelle zwischen Geruchssinn und Stimmung genauer zu untersuchen. Der Erstautor gibt keinen Interessenkonflikt an., GMS Current Posters in Otorhinolaryngology - Head and Neck Surgery; 13:Doc060

Published
2017
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44. Volume versus surface-based cortical thickness measurements: A comparative study with healthy controls and multiple sclerosis patients

Author

Righart, R., Schmidt, P., Dahnke, R., Biberacher, V., Beer, A., Buck, D., Hemmer, B., Kirschke, J. S., Zimmer, C., Gaser, C., and Mühlau, M.

Subjects
Central Nervous System, Adult, Male, Computer and Information Sciences, Multiple Sclerosis, Imaging Techniques, Immunology, lcsh:Medicine, Research and Analysis Methods, Pathology and Laboratory Medicine, Nervous System, Autoimmune Diseases, Diagnostic Radiology, Signs and Symptoms, Diagnostic Medicine, Medicine and Health Sciences, Image Processing, Computer-Assisted, Humans, Animal Anatomy, Gray Matter, lcsh:Science, Cerebral Cortex, Cingulate Cortex, Software Tools, Radiology and Imaging, lcsh:R, Age Factors, Biology and Life Sciences, Brain, Software Engineering, Neurodegenerative Diseases, Demyelinating Disorders, Magnetic Resonance Imaging, Frontal Lobe, Neurology, Case-Control Studies, Lesions, Engineering and Technology, Clinical Immunology, Female, lcsh:Q, Clinical Medicine, Anatomy, Zoology, Software, Research Article
Abstract

The cerebral cortex is a highly folded outer layer of grey matter tissue that plays a key role in cognitive functions. In part, alterations of the cortex during development and disease can be captured by measuring the cortical thickness across the whole brain. Available software tools differ with regard to labor intensity and computational demands. In this study, we compared the computational anatomy toolbox (CAT), a recently proposed volume-based tool, with the well-established surface-based tool FreeSurfer. We observed that overall thickness measures were highly inter-correlated, although thickness estimates were systematically lower in CAT than in FreeSurfer. Comparison of multiple sclerosis (MS) patients with age-matched healthy control subjects showed highly comparable clusters of MS-related thinning for both methods. Likewise, both methods yielded comparable clusters of age-related cortical thinning, although correlations between age and average cortical thickness were stronger for FreeSurfer. Our data suggest that, for the analysis of cortical thickness, the volume-based CAT tool can be regarded a considerable alternative to the well-established surface-based FreeSurfer tool.

Published
2017

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