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15 results for “resting-state functional connectivity”
The dataset of article "Early Detection of Cognitive Impairment in End-Stage Renal Disease Patients Undergoing Hemodialysis: Insights from Resting-State Functional Connectivity Analysis"
<p>This is a file as dataset of the article "Early Detection of Cognitive Impairment in End-Stage Renal Disease Patients Undergoing Hemodialysis: Insights from Resting-State Functional Connectivity Analysis".</p> <p>It includes fMRI brain imaging data of subjects included in the case group (ESRD group) and healthy control group (HC group).</p>
Cortex-wide neural dynamics predict behavioral states and provide a neural basis for resting-state dynamic functional connectivity
<p><strong>GENERAL INFORMATION</strong></p> <p>This data is described in the following publication: </p> <p><strong>Cortex-wide neural dynamics predict behavioral states and provide a neural basis for resting-state dynamic functional connectivity</strong>, Somayeh Shahsavarani<sup>1,2,5</sup>, David N. Thibodeaux<sup>1,5</sup>, Weihao Xu<sup>1</sup>, Sharon H. Kim<sup>1</sup>, Fatema Lodgher<sup>1</sup>, Chinwendu Nwokeabia<sup>1</sup>, Morgan Cambareri<sup>1</sup>, Alexis J. Yagielski<sup>1</sup>, Hanzhi T. Zhao<sup>1</sup>, Daniel A. Handwerker<sup>2</sup>, Javier Gonzalez-Castillo<sup>2</sup>, Peter A. Bandettini<sup>2,3</sup>, Elizabeth M. C. Hillman<sup>1,4,6,*</sup> Cell Reports (2023): <a href="https://doi.org/10.1016/j.celrep.2023.112527">https://doi.org/10.1016/j.celrep.2023.112527</a></p> <p><br> 1. Mortimer B. Zuckerman Mind Brain Behavior Institute and Department of Biomedical Engineering, Columbia University, New York, NY, USA<br> 2. Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA<br> 3. Functional MRI Core Facility, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA<br> 4. Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA<br> 5. These authors contributed equally<br> 6. Lead contact<br> *Correspondence: elizabeth.hillman@columbia.edu</p> <p>Preprocessing and analysis code that generated / can be used with this data is posted at: <br> GitHub: <a href="https://doi.org/10.5281/zenodo.7860561">https://doi.org/10.5281/zenodo.7860561</a></p> <p><strong>DATA OVERVIEW </strong></p> <p>This dataset comprises simultaneous neuronal and hemodynamic data collected using wide-field optical mapping (WFOM) techniques. The data were obtained from head-fixed mice that were allowed to behave spontaneously without any external stimulation. For more detail, please refer to the Readme file.</p>
Data from: The neural basis of resting-state fMRI functional connectivity in fronto-limbic circuits revealed by chemogenetic manipulation
<p>Included are raw neuroimaging and preprocessed neural recording data from "The neural basis of resting-state fMRI functional connectivity in fronto-limbic circuits revealed by chemogenetic manipulation" (see Related Works section; citation will be updated after publication). Please cite this paper if you use any of these data. Refer to the linked github repository for associated code.</p> <p>Neuroimaging data is organized in BIDS format and saved as NIfTI files. We used MION (monocrystalline iron oxide nanoparticle) as a contrast agent. Functional resting state files can be found in the 'func' folder for each imaging session. The final six runs are resting state data (the first two/three are short EPI sequences used to test that MION is present in the brain; all resting state data used in our analyses consist of 300 volumes). The first three of these six runs consist of baseline data with no drug treatment. Four through six are resting state data recorded after I.M. injection of vehicle (2% DMSO in saline), dechloroclozapine (DCZ) or clozapine-N-oxide (CNO). </p> <p>Neural recording data is separated into LFP data, organized by folder, and putative single units, organized the 'Sorted neurons' folder. LFP data folders are named by subject's intial and date of recording. Single units are labeled according to this same system. All data are stored in .mat format and can be opened in MATLAB. KB2.mat files store timing information: the first event in the KBD2 file indicates the start of baseline, pre-injection data acquisition, and the second event indicates the start of post-injection treatment data. The KB3.mat files contains the timing information of the drug injection. As with the fMRI data, we treated animals with I.M. injection of vehicle, DCZ, or CNO. </p> <p>Treatment information for both modalities is as follows. Neuroimaging: 2020/03/16 Animal L DCZ 1; 2020/05/27 Animal H vehicle 1; 2020/06/01 Animal L vehicle 1; 2020/06/08 Animal H DCZ 1; 2020/06/22 Animal L DCZ 2; 2020/06/24 Animal H vehicle 2; 2020/07/06 Animal L vehicle 2; 2020/07/08 Animal H DCZ 2; 2021/10/25 Animal L CNO; 2022/01/13 Animal H CNO. Neural recordings: 2022/04/14 Animal H DCZ 1; 2022/04/21 Animal H vehicle 1; 2022/05/12 Animal H DCZ 2; 2022/05/24 Animal H vehicle 2; 2022/06/03 Animal H CNO; 2022/08/18 Animal L vehicle 1; 2022/08/25 Animal L DCZ 1; 2022/09/01 Animal L DCZ 2; 2022/09/08 Animal L vehicle 2; 2022/09/22 Animal L CNO.</p>
Resting-state functional connectivity matrices of various unconscious, psychedelic, and neuropsychiatric states.
<p>Functional connectivity matrices of various unconscious, psychedelic, and neuropsychiatric states.</p> <p>Conditions include:</p> <p>N2 Sleep</p> <p>Subaneshesthetic ketamine</p> <p>Deep sedation with propofol</p> <p>Surgical-level propofol anesthesia</p> <p>LSD</p> <p>N2O </p> <p>ADHD</p> <p>Bipolar disorder</p> <p>Schizophrenia</p> <p>Functional connectivity matrices with and without global signal regression are both included.</p>
Data from: Brain states govern the spatio-temporal dynamics of resting-state functional connectivity
<p>Previously, using simultaneous resting-state functional magnetic resonance imaging (fMRI) and photometry-based neuronal calcium recordings in the anesthetized rat, we identified blood oxygenation level-dependent (BOLD) responses directly related to slow calcium waves, revealing a cortex-wide and spatially organized correlate of locally recorded neuronal activity (<a href="#_ENREF_68" title="Schwalm, 2017 #1"><span>Schwalm et al., 2017</span></a>). Here, using the same techniques, we investigate two distinct cortical activity states: persistent activity, in which compartmentalized network dynamics were observed; and slow wave activity, dominated by a cortex-wide BOLD component, suggesting a strong functional coupling of inter-cortical activity. During slow wave activity we find a correlation between the occurring slow wave events and the strength of functional connectivity between different cortical areas. These findings suggest that down-up transitions of neuronal excitability can drive cortex-wide functional connectivity. This study provides further evidence that changes in functional connectivity are dependent on the brain's current state, directly linked to the generation of slow waves.</p> <p> </p>
Resting-state Functional Connectivity Throughout a Course of iTBS in Major Depression
ClinicalTrials.gov study NCT03944213. IPD Sharing: NO. Countries: 1. Publications: 11.
Data from: Brain states govern the spatio-temporal dynamics of resting-state functional connectivity
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Data from: Cognitive correlates of cerebellar resting-state functional connectivity in Parkinson disease.
Objective: The purpose of this cross-sectional study was to investigate the contributions of altered cerebellar resting-state functional connectivity (FC) to cognitive impairment in Parkinson disease (PD). Methods: We conducted morphometric and resting-state functional connectivity MRI (FC-MRI) analyses contrasting 81 PD and 43 age-matched healthy controls using rigorous quality assurance measures. To investigate the relationship of cerebellar FC to cognitive status, we compared PD participants without cognitive impairment (Clinical Dementia Rating scale, CDR=0; n=47) to PD participants with impaired cognition (CDR≥0.5; n=34). Comprehensive measures of cognition across the five cognitive domains were assessed for behavioral correlations. Results: The PD participants had significantly weaker FC between the vermis and peristriate visual association cortex compared to controls, and the strength of this FC correlated with visuospatial function and global cognition. In contrast, weaker FC between vermis and dorsolateral prefrontal cortex was found in the cognitively impaired PD group compared to PD participants without cognitive impairment. This effect correlated with deficits in attention, executive functions and global cognition. No group differences in cerebellar lobular volumes or regional cortical thickness of the significant cortical clusters were observed. Conclusion: These results demonstrate a correlation between cerebellar vermal FC and cognitive impairment in PD. The absence of significant atrophy in cerebellum or relevant cortical areas suggests this could be related to local pathophysiology such as neurotransmitter dysfunction.
Data from: Maximizing negative correlations in resting-state functional connectivity MRI by time-lag
This paper aims to better understand the physiological meaning of negative correlations in resting state functional connectivity MRI (r-fcMRI). The correlations between anatomy-based brain regions of 18 healthy humans were calculated and analyzed with and without a correction for global signal and with and without spatial smoothing. In addition, correlations between anatomy-based brain regions of 18 naïve anesthetized rats were calculated and compared to the human data. T-statistics were used to differentiate between positive and negative connections. The application of spatial smoothing and global signal correction increased the number of significant positive connections but their effect on negative connections was complex. Positive connections were mainly observed between cortical structures while most negative connections were observed between cortical and non-cortical structures with almost no negative connections between non-cortical structures. In both human and rats, negative connections were never observed between bilateral homologous regions. The main difference between positive and negative connections in both the human and rat data was that positive connections became less significant with time-lags, while negative connections became more significant with time-lag. This effect was evident in all four types of analyses (with and without global signal correction and spatial smoothing) but was most significant in the analysis with no correction for the global signal. We hypothesize that the valence of r-fcMRI connectivity reflects the relative contributions of cerebral blood volume (CBV) and flow (CBF) to the BOLD signal and that these relative contributions are location-specific. If cerebral circulation is primarily regulated by CBF in one region and by CBV in another, a functional connection between these regions can manifest as an r-fcMRI negative and time-delayed correlation. Similarly, negative correlations could result from spatially inhomogeneous responses of rCBV or rCBF alone. Consequently, neuronal regulation of brain circulation may be deduced from the valence of r-fcMRI connectivity.
Data from: Cognitive correlates of cerebellar resting-state functional connectivity in Parkinson disease.
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Data from: Maximizing negative correlations in resting-state functional connectivity MRI by time-lag
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Resting-state Functional Connectivity Changes During Migraine Treatment
ClinicalTrials.gov study NCT03484871. IPD Sharing: NO. Countries: 1. Publications: 0.
Resting-State Functional Connectivity as a Predictor of tDCS Effects in Adolescents With Autism Spectrum Disorder
ClinicalTrials.gov study NCT06878326. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Modulation of functional activity and connectivity by acupuncture in patients with Alzheimer disease as measured by resting-state fMRI
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Resting-State fMRI Study of Functional Connectivity After Gamma Knife Radiosurgery in Trigeminal Neuralgia
ClinicalTrials.gov study NCT07357025. IPD Sharing: NO. Countries: 0. Publications: 0.
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