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https://www.readbyqxmd.com/read/29471101/on-object-selectivity-and-the-anatomy-of-the-human-fusiform-gyrus
#1
Kevin S Weiner, Vaidehi S Natu, Kalanit Grill-Spector
pFs is a functionally-defined region in the human brain that is involved in recognizing objects. A recent trend refers to pFs as the posterior fusiform sulcus, which is a neuroanatomical structure that does not exist. Here, we correct this mistake. To achieve this goal, we first recount the original definitions of pFs and then review the identification of sulci within and surrounding the fusiform gyrus (FG) including the mid-fusiform sulcus (MFS), which is a tertiary sulcus within the FG. We highlight that tertiary sulci, such as the MFS, are often absent from brain atlases, which complicates the accurate localization of functional regions, as well as the understanding of structural-functional relationships in ventral temporal cortex (VTC)...
February 19, 2018: NeuroImage
https://www.readbyqxmd.com/read/29468773/a-comparison-of-manual-tracing-and-freesurfer-for-estimating-hippocampal-volume-over-the-adult-lifespan
#2
Mike F Schmidt, Judd M Storrs, Kevin B Freeman, Clifford R Jack, Stephen T Turner, Michael E Griswold, Thomas H Mosley
MRI has become an indispensable tool for brain volumetric studies, with the hippocampus an important region of interest. Automation of the MRI segmentation process has helped advance the field by facilitating the volumetric analysis of larger cohorts and more studies. FreeSurfer has emerged as the de facto standard tool for these analyses, but studies validating its output are all based on older versions. To characterize FreeSurfer's validity, we compare several versions of FreeSurfer software with traditional hand-tracing...
February 21, 2018: Human Brain Mapping
https://www.readbyqxmd.com/read/29465061/evaluation-of-brain-volume-changes-by-magnetic-resonance-imaging-in-obstructive-sleep-apnea-syndrome
#3
S B Öztürk, A B Öztürk, G Soker, M Parlak
Background and Objectives: The objective of this study was to evaluate potential morphological changes in the brain tissue of patients with severe obstructive sleep apnea syndrome (OSAS) in comparison with normal subjects by using T1-weighted magnetic resonance imaging (MRI) technique. Material and Methods: This study comprised subjects with severe OSAS with an apnea-hypopnea index (AHI) more than 30 and normal subjects with AHI less than 5 according to polysomnography findings...
February 2018: Nigerian Journal of Clinical Practice
https://www.readbyqxmd.com/read/29462642/memory-performance-global-cerebral-volumes-and-hippocampal-subfield-volumes-in-long-term-survivors-of-out-of-hospital-cardiac-arrest
#4
Marte C Ørbo, Torgil R Vangberg, Pål M Tande, Audny Anke, Per M Aslaksen
AIM: We explored the associations between global brain volumes, hippocampal subfield volumes and verbal memory performance in long-term survivors of out-of-hospital cardiac arrest (OHCA). METHODS: Three months after OHCA, survivors and healthy, age-matched controls were assessed with cerebral MRI and the California Verbal Learning Test-II (CVLT-II). Volumetric brain segmentation was performed automatically by FreeSurfer. RESULTS: Twenty-six OHCA survivors who were living independently in regular homes at the time of assessment and 19 controls participated in the study...
February 17, 2018: Resuscitation
https://www.readbyqxmd.com/read/29458996/quantitative-comparisons-of-three-automated-methods-for-estimating-intracranial-volume-a-study-of-270-longitudinal-magnetic-resonance-images
#5
Xiaoyan Shang, Michelle C Carlson, Xiaoying Tang
Total intracranial volume (TIV) is often used as a measure of brain size to correct for individual variability in magnetic resonance imaging (MRI) based morphometric studies. An adjustment of TIV can greatly increase the statistical power of brain morphometry methods. As such, an accurate and precise TIV estimation is of great importance in MRI studies. In this paper, we compared three automated TIV estimation methods (multi-atlas likelihood fusion (MALF), Statistical Parametric Mapping 8 (SPM8) and FreeSurfer (FS)) using longitudinal T1-weighted MR images in a cohort of 70 older participants at elevated sociodemographic risk for Alzheimer's disease...
February 11, 2018: Psychiatry Research
https://www.readbyqxmd.com/read/29454511/musical-deficits-and-cortical-thickness-in-people-with-schizophrenia
#6
Ryosuke Fujito, Masayoshi Minese, Sanae Hatada, Naoto Kamimura, Shigeru Morinobu, Donna J Lang, William G Honer, Ken Sawada
Investigation of acquired amusia caused by brain damage suggested that cortical lesions of the right hemisphere contributed to musical deficits. We previously reported reduced musical ability in schizophrenia; these deficits were correlated with clinical manifestations such as cognitive dysfunction and negative symptoms. However, the neural substrate underlying the musical disability in schizophrenia remains unclear. We investigated the relationship between musical deficits and cortical thickness in patients with schizophrenia using structural MRI...
February 14, 2018: Schizophrenia Research
https://www.readbyqxmd.com/read/29449187/cortical-atrophy-patterns-in-early-parkinson-s-disease-patients-using-hierarchical-cluster-analysis
#7
Carme Uribe, Barbara Segura, Hugo Cesar Baggio, Alexandra Abos, Anna Isabel Garcia-Diaz, Anna Campabadal, Maria Jose Marti, Francesc Valldeoriola, Yaroslau Compta, Eduard Tolosa, Carme Junque
INTRODUCTION: Cortical brain atrophy detectable with MRI in non-demented advanced Parkinson's disease (PD) is well characterized, but its presence in early disease stages is still under debate. We aimed to investigate cortical atrophy patterns in a large sample of early untreated PD patients using a hypothesis-free data-driven approach. METHODS: Seventy-seven de novo PD patients and 50 controls from the Parkinson's Progression Marker Initiative database with T1-weighted images in a 3-tesla Siemens scanner were included in this study...
February 8, 2018: Parkinsonism & related Disorders
https://www.readbyqxmd.com/read/29444467/olfactory-function-in-systemic-lupus-erythematosus-and-systemic-sclerosis-a-longitudinal-study-and-review-of-the-literature
#8
REVIEW
Mariana Freschi Bombini, Fernando Augusto Peres, Aline Tamires Lapa, Nailú Angélica Sinicato, Beatriz Ricato Quental, Ágatha de Souza Melo Pincelli, Tiago Nardi Amaral, Caroline Cristina Gomes, Ana Paula Del Rio, João Francisco Marques-Neto, Lilian T L Costallat, Paula Teixeira Fernandes, Fernando Cendes, Leticia Rittner, Simone Appenzeller
BACKGROUND/PURPOSE: To evaluate olfactory function in systemic lupus erythematosus (SLE), systemic sclerosis (SSc) and healthy controls over a 2-year period, and to determine the association of olfactory dysfunction with age, disease activity, disease damage, treatment, anxiety and depression symptoms and limbic structures volumes. METHODS: Consecutive SLE and SSc patients were enrolled in this study. Clinical, laboratory disease activity and damage were assessed according to diseases specific guidelines...
February 11, 2018: Autoimmunity Reviews
https://www.readbyqxmd.com/read/29442273/a-comparative-study-of-segmentation-techniques-for-the-quantification-of-brain-subcortical-volume
#9
Theophilus N Akudjedu, Leila Nabulsi, Migle Makelyte, Cathy Scanlon, Sarah Hehir, Helen Casey, Srinath Ambati, Joanne Kenney, Stefani O'Donoghue, Emma McDermott, Liam Kilmartin, Peter Dockery, Colm McDonald, Brian Hallahan, Dara M Cannon
Manual tracing of magnetic resonance imaging (MRI) represents the gold standard for segmentation in clinical neuropsychiatric research studies, however automated approaches are increasingly used due to its time limitations. The accuracy of segmentation techniques for subcortical structures has not been systematically investigated in large samples. We compared the accuracy of fully automated [(i) model-based: FSL-FIRST; (ii) patch-based: volBrain], semi-automated (FreeSurfer) and stereological (Measure®) segmentation techniques with manual tracing (ITK-SNAP) for delineating volumes of the caudate (easy-to-segment) and the hippocampus (difficult-to-segment)...
February 13, 2018: Brain Imaging and Behavior
https://www.readbyqxmd.com/read/29436039/cortical-structural-involvement-and-cognitive-dysfunction-in-early-parkinson-s-disease
#10
J C Klein, M Rolinski, L Griffanti, K Szewczyk-Krolikowski, F Baig, C Ruffmann, A R Groves, R A L Menke, M T Hu, C Mackay
Magnetic resonance imaging (MRI) studies in early Parkinson's disease (PD) have shown promise in the detection of disease-related brain changes in the white and deep grey matter. We set out to establish whether intrinsic cortical involvement in early PD can be detected with quantitative MRI. We collected a rich, multi-modal dataset, including diffusion MRI, T1 relaxometry and cortical morphometry, in 20 patients with early PD (disease duration, 1.9 ± 0.97 years, Hoehn & Yahr 1-2) and in 19 matched controls...
February 13, 2018: NMR in Biomedicine
https://www.readbyqxmd.com/read/29427578/hippocampal-subfield-volume-changes-in-subtypes-of-attention-deficit-hyperactivity-disorder
#11
Mamun Al-Amin, Artyom Zinchenko, Thomas Geyer
OBJECTIVE: Attention-deficit hyperactivity disorder (ADHD) is accompanied by reduction of total hippocampal volume. However, disorder-related fine-grained structural alterations of hippocampal subfields remain unclear. METHOD: Here we compared hippocampal subfield volumes in a large sample of patients with ADHD and healthy controls. We used T1-weighted structural 3-Tesla MRI images of 880 individuals (7-21 years old) from the ADHD-200 database. The images were acquired from 553 healthy individuals and 327 children and adolescents with combined (N = 196) and inattentive (N = 131) ADHD subtypes...
February 7, 2018: Brain Research
https://www.readbyqxmd.com/read/29409960/the-developing-human-connectome-project-a-minimal-processing-pipeline-for-neonatal-cortical-surface-reconstruction
#12
Antonios Makropoulos, Emma C Robinson, Andreas Schuh, Robert Wright, Sean Fitzgibbon, Jelena Bozek, Serena J Counsell, Johannes Steinweg, Katy Vecchiato, Jonathan Passerat-Palmbach, Gregor Lenz, Filippo Mortari, Tencho Tenev, Eugene P Duff, Matteo Bastiani, Lucilio Cordero-Grande, Emer Hughes, Nora Tusor, Jacques-Donald Tournier, Jana Hutter, Anthony N Price, Rui Pedro A G Teixeira, Maria Murgasova, Suresh Victor, Christopher Kelly, Mary A Rutherford, Stephen M Smith, A David Edwards, Joseph V Hajnal, Mark Jenkinson, Daniel Rueckert
The Developing Human Connectome Project (dHCP) seeks to create the first 4-dimensional connectome of early life. Understanding this connectome in detail may provide insights into normal as well as abnormal patterns of brain development. Following established best practices adopted by the WU-MINN Human Connectome Project (HCP), and pioneered by FreeSurfer, the project utilises cortical surface-based processing pipelines. In this paper, we propose a fully automated processing pipeline for the structural Magnetic Resonance Imaging (MRI) of the developing neonatal brain...
January 30, 2018: NeuroImage
https://www.readbyqxmd.com/read/29396679/cerebellum-and-cognition-in-multiple-sclerosis-the-fall-status-matters
#13
Alon Kalron, Gilles Allali, Anat Achiron
Cerebellar volume has been linked with cognitive performances in MS; however, the association in terms of fall status has never been compared. Therefore, the objective of the current study was to compare cognitive performance with cerebellar volume between MS fallers and non-fallers. The cross-sectional study included 140 PwMS (96 women). MRI volumetric analysis was based on the FreeSurfer image analysis suite. Volumes of the cerebellar gray and white matter were identified as the region of interest. Cognitive function included scores obtained from a computerized cognitive battery of tests...
February 2, 2018: Journal of Neurology
https://www.readbyqxmd.com/read/29396231/abnormal-of-inter-hemispheric-functional-connectivity-in-elderly-subjects-with-overweight-obesity
#14
Xiao Luo, Kaicheng Li, Y L Jia, Qingze Zeng, Yerfan Jiaerken, Tiantian Qiu, Peiyu Huang, Xiaojun Xu, Minming Zhang
BACKGROUND: There is a growing literature documenting a variety of brain abnormalities associated with obesity. However, little is known about the effects of obesity on inter-hemispheric connectivity in aging people. METHODS: Participants included 61 cognitively intact elderly (including people with obesity, overweight, and lean controls) who underwent structural MRI, resting-state functional magnetic resonance imaging (rsfMRI) and standard neuropsychological batteries...
January 29, 2018: Obesity Research & Clinical Practice
https://www.readbyqxmd.com/read/29392838/cortical-differences-in-diverticular-disease-and-correlation-with-symptom-reports
#15
A Pitiot, J K Smith, D J Humes, J Garratt, S T Francis, P A Gowland, R C Spiller, L Marciani
BACKGROUND: Recent studies have shown that the brain of patients with gastrointestinal disease differ both structurally and functionally from that of controls. Highly somatizing diverticular disease (HSDD) patients were also shown to differ from low somatizing (LSDD) patients functionally. This study aimed to investigate how they differed structurally. METHODS: Four diseases subgroups were studied in a cross-sectional design: 20 patients with asymptomatic diverticular disease (ADD), 18 LSDD, 16 HSDD, and 18 with irritable bowel syndrome...
February 2, 2018: Neurogastroenterology and Motility: the Official Journal of the European Gastrointestinal Motility Society
https://www.readbyqxmd.com/read/29377733/cortical-abnormalities-associated-with-pediatric-and-adult-obsessive-compulsive-disorder-findings-from-the-enigma-obsessive-compulsive-disorder-working-group
#16
Premika S W Boedhoe, Lianne Schmaal, Yoshinari Abe, Pino Alonso, Stephanie H Ameis, Alan Anticevic, Paul D Arnold, Marcelo C Batistuzzo, Francesco Benedetti, Jan C Beucke, Irene Bollettini, Anushree Bose, Silvia Brem, Anna Calvo, Rosa Calvo, Yuqi Cheng, Kang Ik K Cho, Valentina Ciullo, Sara Dallaspezia, Damiaan Denys, Jamie D Feusner, Kate D Fitzgerald, Jean-Paul Fouche, Egill A Fridgeirsson, Patricia Gruner, Gregory L Hanna, Derrek P Hibar, Marcelo Q Hoexter, Hao Hu, Chaim Huyser, Neda Jahanshad, Anthony James, Norbert Kathmann, Christian Kaufmann, Kathrin Koch, Jun Soo Kwon, Luisa Lazaro, Christine Lochner, Rachel Marsh, Ignacio Martínez-Zalacaín, David Mataix-Cols, José M Menchón, Luciano Minuzzi, Astrid Morer, Takashi Nakamae, Tomohiro Nakao, Janardhanan C Narayanaswamy, Seiji Nishida, Erika Nurmi, Joseph O'Neill, John Piacentini, Fabrizio Piras, Federica Piras, Y C Janardhan Reddy, Tim J Reess, Yuki Sakai, Joao R Sato, H Blair Simpson, Noam Soreni, Carles Soriano-Mas, Gianfranco Spalletta, Michael C Stevens, Philip R Szeszko, David F Tolin, Guido A van Wingen, Ganesan Venkatasubramanian, Susanne Walitza, Zhen Wang, Je-Yeon Yun, Paul M Thompson, Dan J Stein, Odile A van den Heuvel
OBJECTIVE: Brain imaging studies of structural abnormalities in OCD have yielded inconsistent results, partly because of limited statistical power, clinical heterogeneity, and methodological differences. The authors conducted meta- and mega-analyses comprising the largest study of cortical morphometry in OCD ever undertaken. METHOD: T1-weighted MRI scans of 1,905 OCD patients and 1,760 healthy controls from 27 sites worldwide were processed locally using FreeSurfer to assess cortical thickness and surface area...
December 15, 2017: American Journal of Psychiatry
https://www.readbyqxmd.com/read/29372325/grey-matter-structural-differences-in-alcohol-dependent-individuals-with-and-without-comorbid-depression-anxiety-an-mri-study
#17
A Uhlmann, B Bandelow, D J Stein, S Bloch, K R Engel, U Havemann-Reinecke, Dirk Wedekind
Although depression and anxiety disorders are common comorbid conditions in alcohol dependence, few structural brain imaging studies have compared alcohol-dependent subjects with and without such comorbidity. In the current study, brain scans of 35 alcohol-dependent with and 40 individuals without diagnosis of a comorbid ICD-10 depressive or anxiety disorder receiving detoxification inpatient treatment were evaluated. Thickness and volumes of automatically segmented neuroanatomical structures were measured in FreeSurfer...
January 25, 2018: European Archives of Psychiatry and Clinical Neuroscience
https://www.readbyqxmd.com/read/29367441/spatial-variation-in-high-frequency-oscillation-rates-and-amplitudes-in-intracranial-eeg
#18
Hari Guragain, Jan Cimbalnik, Matt Stead, David M Groppe, Brent M Berry, Vaclav Kremen, Daniel Kenney-Jung, Jeffrey Britton, Gregory A Worrell, Benjamin H Brinkmann
OBJECTIVE: To assess the variation in baseline and seizure onset zone interictal high-frequency oscillation (HFO) rates and amplitudes across different anatomic brain regions in a large cohort of patients. METHODS: Seventy patients who had wide-bandwidth (5 kHz) intracranial EEG (iEEG) recordings during surgical evaluation for drug-resistant epilepsy between 2005 and 2014 who had high-resolution MRI and CT imaging were identified. Discrete HFOs were identified in 2-hour segments of high-quality interictal iEEG data with an automated detector...
January 24, 2018: Neurology
https://www.readbyqxmd.com/read/29353341/field-of-view-normalization-in-multi-site-brain-mri
#19
Yangming Ou, Lilla Zöllei, Xiao Da, Kallirroi Retzepi, Shawn N Murphy, Elizabeth R Gerstner, Bruce R Rosen, P Ellen Grant, Jayashree Kalpathy-Cramer, Randy L Gollub
Multi-site brain MRI analysis is needed in big data neuroimaging studies, but challenging. The challenges lie in almost every analysis step including skull stripping. The diversities in multi-site brain MR images make it difficult to tune parameters specific to subjects or imaging protocols. Alternatively, using constant parameter settings often leads to inaccurate, inconsistent and even failed skull stripping results. One reason is that images scanned at different sites, under different scanners or protocols, and/or by different technicians often have very different fields of view (FOVs)...
January 20, 2018: Neuroinformatics
https://www.readbyqxmd.com/read/29352808/frontal-dysconnectivity-in-22q11-2-deletion-syndrome-an-atlas-based-functional-connectivity-analysis
#20
Leah M Mattiaccio, Ioana L Coman, Carlie A Thompson, Wanda P Fremont, Kevin M Antshel, Wendy R Kates
BACKGROUND: 22q11.2 deletion syndrome (22q11DS) is a neurodevelopmental syndrome associated with deficits in cognitive and emotional processing. This syndrome represents one of the highest risk factors for the development of schizophrenia. Previous studies of functional connectivity (FC) in 22q11DS report aberrant connectivity patterns in large-scale networks that are associated with the development of psychotic symptoms. METHODS: In this study, we performed a functional connectivity analysis using the CONN toolbox to test for differential connectivity patterns between 54 individuals with 22q11DS and 30 healthy controls, between the ages of 17-25 years old...
January 20, 2018: Behavioral and Brain Functions: BBF
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