New resting-state fMRI related studies at PubMed

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resting state fMRI; +20 new citations

Tue, 06/12/2018 - 12:58

20 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results:

resting state fMRI

These pubmed results were generated on 2018/06/12

PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

Source-reconstruction of the sensorimotor network from resting-state macaque electrocorticography.

Mon, 06/11/2018 - 12:00

Source-reconstruction of the sensorimotor network from resting-state macaque electrocorticography.

Neuroimage. 2018 Jun 07;:

Authors: Hindriks R, Micheli C, Bosman CA, Oostenveld R, Lewis C, Mantini D, Fries P, Deco G

Abstract
The discovery of hemodynamic (BOLD-fMRI) resting-state networks (RSNs) has brought about a fundamental shift in our thinking about the role of intrinsic brain activity. The electrophysiological underpinnings of RSNs remain largely elusive and it has been shown only recently that electric cortical rhythms are organized into the same RSNs as hemodynamic signals. Most electrophysiological studies into RSNs use magnetoencephalography (MEG) or scalp electroencephalography (EEG), which limits the spatial resolution with which electrophysiological RSNs can be observed. Due to their close proximity to the cortical surface, electrocorticographic (ECoG) recordings can potentially provide a more detailed picture of the functional organization of resting-state cortical rhythms, albeit at the expense of spatial coverage. In this study we propose using source-space spatial independent component analysis (spatial ICA) for identifying generators of resting-state cortical rhythms as recorded with ECoG and for reconstructing their functional connectivity. Network structure is assessed by two kinds of connectivity measures: instantaneous correlations between band-limited amplitude envelopes and oscillatory phase-locking. By simulating rhythmic cortical generators, we find that the reconstruction of oscillatory phase-locking is more challenging than that of amplitude correlations, particularly for low signal-to-noise levels. Specifically, phase-lags can both be over- and underestimated, which troubles the interpretation of lag-based connectivity measures. We illustrate the methodology on somatosensory beta rhythms recorded from a macaque monkey using ECoG. The methodology decomposes the resting-state sensorimotor network into three cortical generators, distributed across primary somatosensory and primary and higher-order motor areas. The generators display significant and reproducible amplitude correlations and phase-locking values with non-zero lags. Our findings illustrate the level of spatial detail attainable with source-projected ECoG and motivates wider use of the methodology for studying resting-state as well as event-related cortical dynamics in macaque and human.

PMID: 29886144 [PubMed - as supplied by publisher]

A pilot study of GABAB correlates with resting-state functional connectivity in five depressed female adolescents.

Mon, 06/11/2018 - 12:00

A pilot study of GABAB correlates with resting-state functional connectivity in five depressed female adolescents.

Psychiatry Res Neuroimaging. 2018 May 31;:

Authors: Balzekas I, Lewis CP, Shekunov J, Port JD, Worrell GA, Joon Jo H, Croarkin PE

Abstract
Connectivity features based on resting-state (RS) functional magnetic resonance imaging (fMRI) demonstrate great promise as biomarkers to guide diagnosis and treatment in major depressive disorder (MDD). However, there is a pressing need for valid, reliable biomarkers closer to the bedside for clinical research and practice. This study directly compared RS-fMRI connectivity features with transcranial magnetic stimulation (TMS) neurophysiological measures, long interval cortical inhibition (LICI) and cortical silent period (CSP), in female adolescents with MDD. LICI-200 showed the most significant associations with RS functional connectivity features, demonstrating its potential to evaluate the neurochemical underpinnings of network features in MDD.

PMID: 29886088 [PubMed - as supplied by publisher]

Resting-state functional magnetic resonance imaging investigation of the neural correlates of cognitive-behavioral therapy for externalizing behavior problems in adolescent bullies.

Sun, 06/10/2018 - 11:20
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Resting-state functional magnetic resonance imaging investigation of the neural correlates of cognitive-behavioral therapy for externalizing behavior problems in adolescent bullies.

Prog Neuropsychopharmacol Biol Psychiatry. 2018 Jun 06;:

Authors: Kim JI, Kang YH, Lee JM, Cha J, Park YH, Kweon KJ, Kim BN

Abstract
The purpose of this study was to investigate the neural correlates of cognitive-behavioral therapy (CBT) for externalizing behavior problems in perpetrators of school bullying using assessments of brain activity and behavior. Twenty-five adolescent bullies participated in an 8-session intervention. Prior to and after participation, 24 adolescents were evaluated using the Child Behavior Checklist (CBCL) and 23 completed resting-state functional magnetic resonance imaging. Changes in the fractional amplitude of low-frequency fluctuations (fALFF) and scores on the CBCL were analyzed. We also compared the identified changes into 2 groups (low and high delinquency) differentiated by a cutoff of 65 points on the delinquency subscale of the CBCL. Following the intervention, participants exhibited improvement in the subscores of the CBCL and decreases in the fALFF of the inferior parietal lobule, lingual, interior frontal and middle occipital gyrus. A positive correlation was observed between changes in the CBCL externalizing behavior scores and fALFF of the inferior frontal gyrus. The high delinquency group showed a greater decrease in delinquency and externalizing CBCL subscores across time than did the low delinquency group. The high delinquency group had more areas that showed change in fALFF post-intervention than did the low delinquency group. A positive correlation was observed between changes in the CBCL delinquency scores and fALFF of the precentral gyrus in the high delinquency group. The results indicate that this CBT for externalizing behavior problems in bullies had more positive effects on delinquent behavior in adolescents with high levels of delinquency, and these changes were associated with functional changes in brain activity.
TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT02670876.

PMID: 29885469 [PubMed - as supplied by publisher]

Origin of slow spontaneous resting-state neuronal fluctuations in brain networks.

Sun, 06/10/2018 - 11:20
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Origin of slow spontaneous resting-state neuronal fluctuations in brain networks.

Proc Natl Acad Sci U S A. 2018 Jun 08;:

Authors: Krishnan GP, González OC, Bazhenov M

Abstract
Resting- or baseline-state low-frequency (0.01-0.2 Hz) brain activity is observed in fMRI, EEG, and local field potential recordings. These fluctuations were found to be correlated across brain regions and are thought to reflect neuronal activity fluctuations between functionally connected areas of the brain. However, the origin of these infra-slow resting-state fluctuations remains unknown. Here, using a detailed computational model of the brain network, we show that spontaneous infra-slow (<0.05 Hz) activity could originate due to the ion concentration dynamics. The computational model implemented dynamics for intra- and extracellular K+ and Na+ and intracellular Cl- ions, Na+/K+ exchange pump, and KCC2 cotransporter. In the network model simulating resting awake-like brain state, we observed infra-slow fluctuations in the extracellular K+ concentration, Na+/K+ pump activation, firing rate of neurons, and local field potentials. Holding K+ concentration constant prevented generation of the infra-slow fluctuations. The amplitude and peak frequency of this activity were modulated by the Na+/K+ pump, AMPA/GABA synaptic currents, and glial properties. Further, in a large-scale network with long-range connections based on CoCoMac connectivity data, the infra-slow fluctuations became synchronized among remote clusters similar to the resting-state activity observed in vivo. Overall, our study proposes that ion concentration dynamics mediated by neuronal and glial activity may contribute to the generation of very slow spontaneous fluctuations of brain activity that are reported as the resting-state fluctuations in fMRI and EEG recordings.

PMID: 29884650 [PubMed - as supplied by publisher]

Functional network changes in the hippocampus contribute to depressive symptoms in epilepsy.

Sat, 06/09/2018 - 16:20

Functional network changes in the hippocampus contribute to depressive symptoms in epilepsy.

Seizure. 2018 Jun 01;60:16-22

Authors: Peng W, Mao L, Yin D, Sun W, Wang H, Zhang Q, Wang J, Chen C, Zeng M, Ding J, Wang X

Abstract
PURPOSE: Our study aimed to investigate the functional connectivity (FC) between the hippocampus and other brain regions in epilepsy patients with depressive symptoms.
METHODS: Epilepsy patients with and without depressive symptoms, assessed using the 17-item Hamilton Depression Rating Scale scores, were enrolled. Healthy volunteers were recruited as the control group. Resting state functional magnetic resonance imaging was performed, and the data were processed using Resting-State fMRI (DPARSFA2.0) software. The regional homogeneity (ReHo) values and the FC between the right hippocampus and other brain regions were analysed.
RESULTS: The ReHo value of the cerebellum (particularly the left cerebellar hemisphere) was significantly lower in epilepsy patients than in healthy controls, and was lower in epilepsy patients with depressive symptoms (EP + DS group) than in those without depressive symptoms (EP-DS group, p < 0.05). Additionally, the FC between the right hippocampus and the bilateral cerebellum was significantly greater in the EP + DS group than in the EP-DS group (p < 0.05). Moreover, abnormal ReHo values in the bilateral frontal lobes, including the right anterior cingulate cortex, and changes in the FC between the right hippocampus and the bilateral frontal lobes were found in the EP + DS group. Minor changes in the FC between the temporal and parietal lobes were also found in the epilepsy patients.
CONCLUSION: The functional right hippocampus-cerebellum circuit might contribute to the pathogenesis of depressive symptoms in epilepsy, with the exception of brain areas associated with emotion such as the frontal and temporal lobes. Modulating the hippocampus-cerebellum circuit is a potential therapeutic strategy for epilepsy patients with depressive symptoms.

PMID: 29883917 [PubMed - as supplied by publisher]

Diminished neural network dynamics after moderate and severe traumatic brain injury.

Sat, 06/09/2018 - 16:20

Diminished neural network dynamics after moderate and severe traumatic brain injury.

PLoS One. 2018;13(6):e0197419

Authors: Gilbert N, Bernier RA, Calhoun VD, Brenner E, Grossner E, Rajtmajer SM, Hillary FG

Abstract
Over the past decade there has been increasing enthusiasm in the cognitive neurosciences around using network science to understand the system-level changes associated with brain disorders. A growing literature has used whole-brain fMRI analysis to examine changes in the brain's subnetworks following traumatic brain injury (TBI). Much of network modeling in this literature has focused on static network mapping, which provides a window into gross inter-nodal relationships, but is insensitive to more subtle fluctuations in network dynamics, which may be an important predictor of neural network plasticity. In this study, we examine the dynamic connectivity with focus on state-level connectivity (state) and evaluate the reliability of dynamic network states over the course of two runs of intermittent task and resting data. The goal was to examine the dynamic properties of neural networks engaged periodically with task stimulation in order to determine: 1) the reliability of inter-nodal and network-level characteristics over time and 2) the transitions between distinct network states after traumatic brain injury. To do so, we enrolled 23 individuals with moderate and severe TBI at least 1-year post injury and 19 age- and education-matched healthy adults using functional MRI methods, dynamic connectivity modeling, and graph theory. The results reveal several distinct network "states" that were reliably evident when comparing runs; the overall frequency of dynamic network states are highly reproducible (r-values>0.8) for both samples. Analysis of movement between states resulted in fewer state transitions in the TBI sample and, in a few cases, brain injury resulted in the appearance of states not exhibited by the healthy control (HC) sample. Overall, the findings presented here demonstrate the reliability of observable dynamic mental states during periods of on-task performance and support emerging evidence that brain injury may result in diminished network dynamics.

PMID: 29883447 [PubMed - in process]

Advances in migraine neuroimaging and clinical utility: from the MRI to the bedside.

Sat, 06/09/2018 - 16:20

Advances in migraine neuroimaging and clinical utility: from the MRI to the bedside.

Expert Rev Neurother. 2018 Jun 08;:

Authors: Russo A, Silvestro M, Tessitore A, Tedeschi G

Abstract
INTRODUCTION: In current migraine clinical practice, no specific diagnostic investigations are available and therefore the diagnosis is an eminently clinical process where instrumental examinations may have a part to exclude possible causes of secondary headaches. While migraine clinical phenotype has been widely characterized, migraine pathophysiology has still a gap that might be partly bridged by structural and functional neuroimaging investigations. Areas Covered: This article aims to review the recent advances in functional neuroimaging, the consequent progress in the knowledge of migraine pathophysiology and their putative application and impact in the clinical setting. A comprehensive review was conducted of PubMed citations by entering the key word "MRI" combined with "migraine" AND/OR "headache." Other key words included "grey matter" OR "white matter", "structural" OR "functional". The only restriction was English-language publication. The abstracts of all articles meeting these criteria were reviewed, and full texts were examined for relevant references. Expert Commentary: Advanced magnetic resonance imaging (MRI) techniques are tremendously improving our knowledge about brain abnormalities in migraine patients. However, advanced MRI could nowadays overcomes the limits linked to the clinicians' judgment through the identification of objectively measurable neuroimaging findings (quantitative biomarkers) concerning the diagnosis, the prognosis and "tailored" therapeutic-care pathways.

PMID: 29883214 [PubMed - as supplied by publisher]

Differential associations of combined vs. isolated cannabis and nicotine on brain resting state networks.

Sat, 06/09/2018 - 16:20
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Differential associations of combined vs. isolated cannabis and nicotine on brain resting state networks.

Brain Struct Funct. 2018 Jun 07;:

Authors: Filbey FM, Gohel S, Prashad S, Biswal BB

Abstract
Concomitant cannabis and nicotine use is more prevalent than cannabis use alone; however, to date, most of the literature has focused on associations of isolated cannabis and nicotine use limiting the generalizability of existing research. To determine differential associations of concomitant use of cannabis and nicotine, isolated cannabis use and isolated nicotine use on brain network connectivity, we examined systems-level neural functioning via independent components analysis (ICA) on resting state networks (RSNs) in cannabis users (CAN, n = 53), nicotine users (NIC, n = 28), concomitant nicotine and cannabis users (NIC + CAN, n = 26), and non-users (CTRL, n = 30). Our results indicated that the CTRL group and NIC + CAN users had the greatest functional connectivity relative to CAN users and NIC users in 12 RSNs: anterior default mode network (DMN), posterior DMN, left frontal parietal network, lingual gyrus, salience network, right frontal parietal network, higher visual network, insular cortex, cuneus/precuneus, posterior cingulate gyrus/middle temporal gyrus, dorsal attention network, and basal ganglia network. Post hoc tests showed no significant differences between (1) CTRL and NIC + CAN and (2) NIC and CAN users. These findings of differential associations of isolated vs. combined nicotine and cannabis use demonstrate an interaction between cannabis and nicotine use on RSNs. These unique and combined mechanisms through which cannabis and nicotine influence cortical network functional connectivity are important to consider when evaluating the neurobiological pathways associated with cannabis and nicotine use.

PMID: 29882015 [PubMed - as supplied by publisher]

Elevated hippocampal choline level is associated with altered functional connectivity in females with major depressive disorder: A pilot study.

Sat, 06/09/2018 - 16:20
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Elevated hippocampal choline level is associated with altered functional connectivity in females with major depressive disorder: A pilot study.

Psychiatry Res Neuroimaging. 2018 May 26;:

Authors: Tang Y, Zhang X, Sheng J, Zhang X, Zhang J, Xu J, Zhu Y, Wang J, Zhang T, Tong S, Ning L, Liu M, Li Y, Wang J

Abstract
Metabolic and functional alterations in hippocampus have been associated with the pathophysiology of major depressive disorder (MDD). However, how the hippocampal biochemical disruptions lead to dysfunction of limbic-cortical circuit remains unclear. The present pilot study combined magnetic resonance spectroscopy (MRS) and resting-state functional magnetic resonance imaging (rs-fMRI) to investigate the hippocampal metabolic alteration and its relationship with the intrinsic functional connectivity (FC) changes in MDD. Both MRS and fMRI data were obtained from twelve women with MDD and twelve age-matched, healthy women. Bilateral hippocampi were chosen as regions of interest, in which metabolite concentrations of total choline (tCho), N-acetylaspartate and creatine were quantified. Bilateral hippocampal FC to the whole brain and its correlations with hippocampal metabolite concentrations were conducted. Females with MDD showed significantly elevated left hippocampal tCho level, and decreased anti-correlations between the left hippocampus and bilateral superior frontal gyrus (SFG), left inferior frontal gyrus, and right superior temporal gyrus. More importantly, the left hippocampal tCho level was associated with FC to the right SFG and right fusiform gyrus in healthy women, whereas it was significantly associated with FC to the right lingual gyrus in women with MDD. Our findings suggested that regional metabolic alterations in the left hippocampus might be related to the network-level dysfunction.

PMID: 29880254 [PubMed - as supplied by publisher]

resting state fMRI; +17 new citations

Fri, 06/08/2018 - 13:07

17 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results:

resting state fMRI

These pubmed results were generated on 2018/06/08

PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

Corrigendum: Resting-State Functional Connectivity and Network Analysis of Cerebellum With Respect to IQ and Gender.

Thu, 06/07/2018 - 14:20
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Corrigendum: Resting-State Functional Connectivity and Network Analysis of Cerebellum With Respect to IQ and Gender.

Front Hum Neurosci. 2018;12:216

Authors: Pezoulas VC, Zervakis M, Michelogiannis S, Klados MA

Abstract
[This corrects the article on p. 189 in vol. 11, PMID: 28491028.].

PMID: 29872387 [PubMed - in process]

Central Neural Correlates During Inhibitory Control in Lifelong Premature Ejaculation Patients.

Thu, 06/07/2018 - 14:20
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Central Neural Correlates During Inhibitory Control in Lifelong Premature Ejaculation Patients.

Front Hum Neurosci. 2018;12:206

Authors: Yang X, Gao M, Zhang L, Liu L, Liu P, Sun J, Xi Y, Yin H, Qin W

Abstract
Lifelong premature ejaculation (LPE) is a common male sexual dysfunction. Lack of active control for rapid ejaculation brought great distress to sexual harmony and even fertility. Previous neurophysiology studies revealed an ejaculation-related control mechanism in the brain. However, it remains unclear whether this inhibitory network is altered in LPE patients. The present study investigated the central inhibitory network function of LPE patients by using stop signal task (SST)-related functional magnetic resonance imaging (fMRI) and resting-state functional connectivity (FC) analysis. The results showed no difference in task-related behavioral performance or neural activation during response inhibition between LPE patients and controls. However, LPE patients showed a significantly different correlation pattern between the stop signal reaction time (SSRT) and left inferior frontal gyrus (IFG) activation during successful inhibition, in which a typical negative correlation between SSRT and the activation was completely disappeared in patients. In addition, using the left IFG as a seed, patients showed weaker FC between the seed and two areas (left dentate nucleus (DN) and right frontal pole) compared with controls. These data suggest that LPE patients have an abnormal brain control network, which may contribute to the reduced central control of rapid ejaculation. This study provides new insights into the neural mechanism of LPE involving the central inhibitory network, which may offer an underlying intervention target for future treatment.

PMID: 29872385 [PubMed]

Functional networks reemerge during recovery of consciousness after acute severe traumatic brain injury.

Thu, 06/07/2018 - 14:20
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Functional networks reemerge during recovery of consciousness after acute severe traumatic brain injury.

Cortex. 2018 May 12;:

Authors: Threlkeld ZD, Bodien YG, Rosenthal ES, Giacino JT, Nieto-Castanon A, Wu O, Whitfield-Gabrieli S, Edlow BL

Abstract
Integrity of the default mode network (DMN) is believed to be essential for human consciousness. However, the effects of acute severe traumatic brain injury (TBI) on DMN functional connectivity are poorly understood. Furthermore, the temporal dynamics of DMN reemergence during recovery of consciousness have not been studied longitudinally in patients with acute severe TBI. We performed resting-state functional magnetic resonance imaging (rs-fMRI) to measure DMN connectivity in 17 patients admitted to the intensive care unit (ICU) with acute severe TBI and in 16 healthy control subjects. Eight patients returned for follow-up rs-fMRI and behavioral assessment six months post-injury. At each time point, we analyzed DMN connectivity by measuring intra-network correlations (i.e. positive correlations between DMN nodes) and inter-network anticorrelations (i.e. negative correlations between the DMN and other resting-state networks). All patients were comatose upon arrival to the ICU and had a disorder of consciousness (DoC) at the time of acute rs-fMRI (9.2 ± 4.6 days post-injury): 2 coma, 4 unresponsive wakefulness syndrome, 7 minimally conscious state, and 4 post-traumatic confusional state. We found that, while DMN anticorrelations were absent in patients with acute DoC, patients who recovered from coma to a minimally conscious or confusional state while in the ICU showed partially preserved DMN correlations. Patients who remained in coma or unresponsive wakefulness syndrome in the ICU showed no DMN correlations. All eight patients assessed longitudinally recovered beyond the confusional state by 6 months post-injury and showed normal DMN correlations and anticorrelations, indistinguishable from those of healthy subjects. Collectively, these findings suggest that recovery of consciousness after acute severe TBI is associated with partial preservation of DMN correlations in the ICU, followed by long-term normalization of DMN correlations and anticorrelations. Both intra-network DMN correlations and inter-network DMN anticorrelations may be necessary for full recovery of consciousness after acute severe TBI.

PMID: 29871771 [PubMed - as supplied by publisher]

Age-specific effects of structural and functional connectivity in prefrontal-amygdala circuitry in women with bipolar disorder.

Thu, 06/07/2018 - 14:20
Related Articles

Age-specific effects of structural and functional connectivity in prefrontal-amygdala circuitry in women with bipolar disorder.

BMC Psychiatry. 2018 Jun 05;18(1):177

Authors: Tang Y, Ma Y, Chen X, Fan X, Jiang X, Zhou Y, Wang F, Wei S

Abstract
BACKGROUND: Bipolar disorder (BD) is a serious mental illness. Several studies have shown that brain structure and function changes and the development of BD are associated with age and sex differences. Therefore, we hypothesized that the functional and structural neural circuitry of BD patients would differ according to age. The amygdala and prefrontal cortex (PFC) are play a key role in the emotional and cognitive processing of patients with BD. In this study, we used magnetic resonance imaging (MRI) to examine the structural and functional connectivity within amygdala-PFC neural circuitry in women with BD at different ages.
METHODS: Forty-nine female patients with BD who were aged 13-25 years and 60 age-matched healthy control (HC) individuals, as well as 43 female patients with BD who were aged 26-45 years and 60 age-matched HC individuals underwent resting-state functional MRI (rs-fMRI) and diffusion tensor imaging to examine the structural and functional connectivity within the amygdala-PFC neural circuitry.
RESULTS: We found abnormalities in the amygdala-PFC functional connectivity in patients aged 13-25 years and significantly different fractional anisotropy (FA) values in patients aged 26-45 compared with the age-matched HCs. The significance of these findings was indicated by corrected p values of less than 0.05 (uncorrected p values less than 0.001).
CONCLUSIONS: The findings in this cross-sectional study suggested that abnormalities in the functional connectivity of the amygdala-PFC neural circuitry are related to the pathophysiology of BD in women aged 13-25 years, while changes in the structural integrity of this neural circuitry are associated with the pathophysiology of BD in women aged 26-45 years. Therefore, functional and structural brain alterations may occur at different ages in female patients with BD.

PMID: 29871591 [PubMed - in process]

resting state fMRI; +21 new citations

Wed, 06/06/2018 - 14:23

21 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results:

resting state fMRI

These pubmed results were generated on 2018/06/06

PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

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