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resting—state fmri

Adriana L Ruiz-Rizzo, Christian Sorg, Natan Napiórkowski, Julia Neitzel, Aurore Menegaux, Hermann J Müller, Signe Vangkilde, Kathrin Finke
The neural factors that account for the visual processing speed reduction in aging are incompletely understood. Based on previous reports of age-related decreases in the intrinsic functional connectivity (iFC) within the cingulo-opercular network and its relevance for processing speed, we hypothesized that these decreases are associated with age-related reductions in visual processing speed. We used a whole-report task and modeling based on Bundesen's "theory of visual attention" to parameterize visual processing speed in 91 healthy participants aged from 20 to 77 years...
September 21, 2018: Neurobiology of Aging
Andrew P Salzwedel, Rebecca L Stephens, Barbara D Goldman, Weili Lin, John H Gilmore, Wei Gao
BACKGROUND: The amygdala represents a core node in the human brain's emotional signal processing circuitry. Given its critical role, both the typical and atypical functional connectivity patterns of the amygdala have been extensively studied in adults. However, the development of amygdala functional connectivity during infancy is less well studied; thus, our understanding of the normal growth trajectory of key emotion-related brain circuits during a critical period is limited. METHODS: In this study, we used resting-state functional magnetic resonance imaging (N = 233 subjects with 334 datasets) to delineate the spatiotemporal dynamics of amygdala functional connectivity development during the first 2 years of life...
August 30, 2018: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
Xuyun Wen, Han Zhang, Gang Li, Mingxia Liu, Weiyan Yin, Weili Lin, Jun Zhang, Dinggang Shen
The human brain develops rapidly in the first postnatal year, in which rewired functional brain networks could shape later behavioral and cognitive performance. Resting-state functional magnetic resonances imaging (rs-fMRI) and complex network analysis have been widely used for characterizing the developmental brain functional connectome. Yet, such studies focusing on the first year of postnatal life are still very limited. Leveraging normally developing longitudinal infant rs-fMRI scans from neonate to one year of age, we investigated how brain functional networks develop at a fine temporal scale (every 3 months)...
October 10, 2018: NeuroImage
Jonathan F O'Rawe, Jaime S Ide, Hoi-Chung Leung
In accordance with the concept of topographic organization of neuroanatomical structures, there is an increased interest in estimating and delineating continuous changes in the functional connectivity patterns across neighboring voxels within a region of interest using resting-state fMRI data. Fundamental to this functional connectivity gradient analysis is the assumption that the functional organization is stable and uniform across the region of interest. To evaluate this assumption, we developed a statistical model testing procedure to arbitrate between overlapping, shifted, or different topographic connectivity gradients across subdivisions of a structure...
October 10, 2018: NeuroImage
Han Zhang, Chong-Yaw Wee, Joann S Poh, Qiang Wang, Lynette P Shek, Yap-Seng Chong, Marielle V Fortier, Michael J Meaney, Birit F P Broekman, Anqi Qiu
Early numeracy provides the foundation of acquiring mathematical skills that is essential for future academic success. This study examined numerical functional networks in relation to counting and number relational skills in preschoolers at 4 and 6 years of age. The counting and number relational skills were assessed using school readiness test (SRT). Resting-state fMRI (rs-fMRI) was acquired in 123 4-year-olds and 146 6-year-olds. Among them, 61 were scanned twice over the course of 2 years. Meta-analysis on existing task-based numeracy fMRI studies identified the left parietal-dominant network for both counting and number relational skills and the right parietal-dominant network only for number relational skills in adults...
October 12, 2018: Brain Structure & Function
Laura E Engelhardt, K Paige Harden, Elliot M Tucker-Drob, Jessica A Church
Executive functions (EFs) are regulatory cognitive processes that support goal-directed thoughts and behaviors and that involve two primary networks of functional brain activity in adulthood: the fronto-parietal and cingulo-opercular networks. The current study assessed whether the same networks identified in adulthood underlie child EFs. Using task-based fMRI data from a diverse sample of N = 117 children and early adolescents (M age = 10.17 years), we assessed the extent to which neural activity was shared across switching, updating, and inhibition domains, and whether these patterns were qualitatively consistent with adult EF-related activity...
October 9, 2018: NeuroImage
Olimpia Musumeci, Silvia Marino, Francesca Granata, Rosa Morabito, Lilla Bonanno, Teresa Brizzi, Viviana Lo Buono, Francesco Corallo, Marcello Longo, Antonio Toscano
BACKGROUND: Late Onset Pompe Disease (LOPD) is a rare, multisystem disorder, that is well established to mainly impair skeletal muscle function. Systematic studies exploring brain functions in LOPD are lacking. Aim of this study is to detect morphological and functional brain alterations as well as neuropsychological impairment in LOPD. MATERIALS AND METHODS: We studied 21 patients (10M, 11F, mean-age 49±18,4years), with defined diagnosis of LOPD, divided in two groups: one with presymptomatic hyperCKemia with no muscle weakness and the second with Limb-Girdle Muscle Weakness (LGMW group)...
October 12, 2018: European Journal of Neurology: the Official Journal of the European Federation of Neurological Societies
Nele De Bruyn, Sarah Meyer, Simon S Kessner, Bea Essers, Bastian Cheng, Götz Thomalla, Andre Peeters, Stefan Sunaert, Thierry Duprez, Vincent Thijs, Hilde Feys, Kaat Alaerts, Geert Verheyden
BACKGROUND: Aberrant functional connectivity in brain networks associated with motor impairment after stroke is well described, but little is known about the association with somatosensory impairments. AIM: The objective of this cross-sectional observational study was to investigate the relationship between brain functional connectivity and severity of somatosensory impairments in the upper limb in the acute phase post stroke. METHODS: Nineteen first-ever stroke patients underwent resting-state functional magnetic resonance imaging (rs-fMRI) and a standardized clinical somatosensory profile assessment (exteroception and higher cortical somatosensation) in the first week post stroke...
2018: PloS One
Nataliia Kozhemiako, Vasily Vakorin, Adonay S Nunes, Grace Iarocci, Urs Ribary, Sam M Doesburg
It has been proposed that autism spectrum disorder (ASD) may be characterized by an extreme male brain (EMB) pattern of brain development. Here, we performed the first investigation of how age-related changes in functional brain connectivity may be expressed differently in females and males with ASD. We analyzed resting-state functional magnetic resonance imaging data of 107 typically developing (TD) females, 114 TD males, 104 females, and 115 males with ASD (6-26 years) from the autism brain imaging data exchange repository...
October 11, 2018: Human Brain Mapping
Hans-Christian J Fritz, Nicola Ray, Martin Dyrba, Christian Sorg, Stefan Teipel, Michel J Grothe
The cholinergic basal forebrain (CBF), comprising different groups of cortically projecting cholinergic neurons, plays a crucial role in higher cognitive processes and has been implicated in diverse neuropsychiatric disorders. A distinct corticotopic organization of CBF projections has been revealed in animal studies, but little is known about their organization in the human brain. We explored regional differences in functional connectivity (FC) profiles within the human CBF by applying a clustering approach to resting-state functional magnetic resonance imaging (rs-fMRI) data of healthy adult individuals (N = 85; 19-85 years)...
October 11, 2018: Human Brain Mapping
Rebecca J Lepping, Robyn A Honea, Laura E Martin, Ke Liao, In-Young Choi, Phil Lee, Vlad B Papa, William M Brooks, D Jill Shaddy, Susan E Carlson, John Colombo, Kathleen M Gustafson
The present study sought to determine whether supplementation of long-chain polyunsaturated fatty acids (LCPUFA) during the first year of life influenced brain function, structure, and metabolism at 9 years of age. Newborns were randomly assigned to consume formula containing either no LCPUFA (control) or formula with 0.64% of total fatty acids as arachidonic acid (ARA; 20:4n6) and variable amounts of docosahexaenoic acid (DHA; 22:6n3) (0.32%, 0.64%, or 0.96% of total fatty acids) from birth to 12 months...
October 11, 2018: Developmental Psychobiology
Julio Plata-Bello, Yaiza Pérez-Martín, Abril Castañón-Pérez, Cristián Modroño, Estefanía Hernández-Martín, Montserrat González-Platas, Francisco Marcano, José Luis González-Mora
The study of the relationship between function and structure of the brain could be particularly interesting in neurodegenerative diseases like multiple sclerosis (MS). The aim of the present work is to identify differences of the amplitude of low frequency fluctuations (ALFF) in the mirror neuron system (MNS) between MS patients and healthy controls and to study the relationship between ALFF and the gray matter volume (GMV) of the regions that belong to the MNS. Relapsing-remitting MS patients with minor disability were compared to healthy controls (HC) using resting-state functional magnetic resonance imaging (fMRI), anatomic T1 weighted images and diffusion tensor imaging (DTI)...
December 2018: IBRO Reports
Jiayue Cai, Aiping Liu, Taomian Mi, Saurabh Garg, Wade Trappe, Martin J McKeown, Z Jane Wang
Graph theoretical analysis is a powerful tool for quantitatively understanding the topological properties of complex networks, such as system-level descriptions of brain connectivity. In conventional functional connectivity analysis, brain connectivity is assumed to be temporally stationary, while increasing evidence suggests that functional connectivity exhibits temporal variations during dynamic brain activity. Although a number of methods have been developed to estimate time-dependent brain connectivity, there is a paucity of studies examining the utility of brain dynamics for assessing brain disease states...
October 11, 2018: IEEE Journal of Biomedical and Health Informatics
Paul Faulkner, Dara G Ghahremani, Rachel F Tyndale, Neil E Paterson, Chelsea Cox, Nathaniel Ginder, Gerhard Hellemann, Edythe D London
Smoking-induced relief of craving and withdrawal promotes continued cigarette use. Understanding how relief is produced and the role of nicotine in this process may facilitate development of new smoking-cessation therapies. As the US Food and Drug Administration considers setting a standard for reduced nicotine content in cigarettes to improve public health, knowledge of how nicotine contributes to relief also can inform policy. We assessed effects of nicotine using resting state functional magnetic resonance imaging (MRI) and behavioral assessments of craving and negative affect...
October 11, 2018: Addiction Biology
Jiajia Zhu, Dao-Min Zhu, Yinfeng Qian, Xiaohu Li, Yongqiang Yu
Various data-driven voxel-wise measures derived from resting-state functional magnetic resonance imaging (rs-fMRI) have been developed to characterize spontaneous brain activity. These measures have been widely applied to explore brain functional changes in schizophrenia and have enjoyed significant success in unraveling the neural mechanisms of this disorder. However, their spatial and temporal coupling alterations in schizophrenia remain largely unknown. To address this issue, 88 schizophrenia patients and 116 gender- and age-matched healthy controls underwent rs-fMRI examinations...
October 3, 2018: Journal of Psychiatric Research
Barnaly Rashid, Jiayu Chen, Ishtiaque Rashid, Eswar Damaraju, Jingyu Liu, Robyn Miller, Oktay Agcaoglu, Theo G M van Erp, Kelvin O Lim, Jessica A Turner, Daniel H Mathalon, Judith M Ford, James Voyvodic, Bryon A Mueller, Aysenil Belger, Sarah McEwen, Steven G Potkin, Adrian Preda, Juan R Bustillo, Godfrey D Pearlson, Vince D Calhoun
Multimodal, imaging-genomics techniques offer a platform for understanding genetic influences on brain abnormalities in psychiatric disorders. Such approaches utilize the information available from both imaging and genomics data and identify their association. Particularly for complex disorders such as schizophrenia, the relationship between imaging and genomic features may be better understood by incorporating additional information provided by advanced multimodal modeling. In this study, we propose a novel framework to combine features corresponding to functional magnetic resonance imaging (functional) and single nucleotide polymorphism (SNP) data from 61 schizophrenia (SZ) patients and 87 healthy controls (HC)...
October 6, 2018: NeuroImage
Hesamoddin Jahanian, Samantha Holdsworth, Thomas Christen, Hua Wu, Kangrong Zhu, Adam B Kerr, Matthew J Middione, Robert F Dougherty, Michael Moseley, Greg Zaharchuk
BACKGROUND: Recent advancements in simultaneous multi-slice (SMS) imaging techniques have enabled whole-brain resting-state fMRI (rs-fMRI) scanning at sub-second temporal resolution, providing spectral ranges much wider than the typically used range of 0.01-0.1 Hz. However, the advantages of this accelerated acquisition for rs-fMRI have not been evaluated. NEW METHOD: In this study, we used SMS Echo Planar Imaging (EPI) to probe whole-brain functional connectivity with a short repetition time (TR = 350 ms) and compared it with standard EPI with a longer TR of 2000 ms...
October 6, 2018: Journal of Neuroscience Methods
Karsten Mueller, Robert Jech, Tommaso Ballarini, Štefan Holiga, Filip Růžička, Fabian A Piecha, Harald E Möller, Josef Vymazal, Evžen Růžička, Matthias L Schroeter
Levodopa has been the mainstay of symptomatic therapy for Parkinson's disease (PD) for the last five decades. However, it is associated with the development of motor fluctuations and dyskinesia, in particular after several years of treatment. The aim of this study was to shed light on the acute brain functional reorganization in response to a single levodopa dose. Functional magnetic resonance imaging (fMRI) was performed after an overnight withdrawal of dopaminergic treatment and 1 h after a single dose of 250 mg levodopa in a group of 24 PD patients...
October 8, 2018: Cerebellum
Miao Zhang, Shengpei Wang, Di Hu, Huiying Kang, Minhui Ouyang, Yonghong Zhang, Bo Rao, Hao Huang, Yun Peng
PURPOSE: Previous studies have investigated the brain structural abnormalities in children with type I Gaucher disease (GD). The purpose of our study is to investigate the topological efficiency of the brain functional network in children with type 1 GD. METHODS: Twenty-two children diagnosed with type 1 GD and 22 sex- and age-matched healthy controls (HCs) underwent resting-state functional MRI (rs-fMRI) examination. For longitudinal study, the GD patients underwent rs-fMRI examination again after 4...
October 8, 2018: Neuroradiology
James M Shine, Ruud L van den Brink, Dennis Hernaus, Sander Nieuwenhuis, Russell A Poldrack
The human brain is able to flexibly adapt its information processing capacity to meet a variety of cognitive challenges. Recent evidence suggests that this flexibility is reflected in the dynamic reorganization of the functional connectome. The ascending catecholaminergic arousal systems of the brain are a plausible candidate mechanism for driving alterations in network architecture, enabling efficient deployment of cognitive resources when the environment demands them. We tested this hypothesis by analyzing both resting-state and task-based fMRI data following the administration of atomoxetine, a noradrenaline reuptake inhibitor, compared with placebo, in two separate human fMRI studies...
2018: Network neuroscience
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