1,893 research outputs found
Landslide risk reduction in Wasco County, Oregon
No full textby William J. Burns, Nancy Calhoun, Jon Franczyk, Jason D. McClaughry, and Katherine Daniel.Title from PDF cover (viewed on February 27, 2023).This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Includes bibliographical references (pages 20-24).Mode of access: Internet from the Oregon Government Publications Collection.Text in English
The works of John C. Calhoun /
No full textEach volume also has a special title page.v. 1. A disquisition on government and A discourse on the Constitution and government of the United States.--v. 2-4. Speeches delivered in the House of representatives and in the Senate of the United States.--v. 5-6. Reports and public letters.Mode of access: Internet
Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation
No full textThe growth of data sharing initiatives for neuroimaging and genomics represents an exciting opportunity to confront the “small N” problem that plagues contemporary neuroimaging studies while further understanding the role genetic markers play in the function of the brain. When it is possible, open data sharing provides the most benefits. However, some data cannot be shared at all due to privacy concerns and/or risk of re-identification. Sharing other data sets is hampered by the proliferation of complex data use agreements (DUAs) which preclude truly automated data mining. These DUAs arise because of concerns about the privacy and confidentiality for subjects; though many do permit direct access to data, they often require a cumbersome approval process that can take months. An alternative approach is to only share data derivatives such as statistical summaries—the challenges here are to reformulate computational methods to quantify the privacy risks associated with sharing the results of those computations. For example, a derived map of gray matter is often as identifiable as a fingerprint. Thus alternative approaches to accessing data are needed. This paper reviews the relevant literature on differential privacy, a framework for measuring and tracking privacy loss in these settings, and demonstrates the feasibility of using this framework to calculate statistics on data distributed at many sites while still providing privacy.This document is protected by copyright and was first published by Frontiers. All rights reserved. It is reproduced with permission.Peer reviewe
Neurotransmitter imbalance dysregulates brain dynamic fluidity in frontotemporal degeneration
No full textFrontotemporal degeneration (FTD) is characterized by reduced global brain flexibility along with GABAergic/glutamatergic neurotransmitter deficits. We aimed to assess the relationship between dynamical properties of time-varying whole-brain network connectivity as well as static large-scale networks and neurotransmitter imbalance using resting-state functional MRI and transcranial magnetic stimulation (TMS) in sixty-six patients with FTD. We assessed GABAergic and glutamatergic neurotransmission by TMS, considering short- and long-interval intracortical inhibition and intracortical facilitation, and large-scale networks connectivity as well as four indexes of meta-state dynamic fluidity: (1) number of distinct meta-states, (2) number of switches from one meta-state to another, (3) span of the realized meta-states, and (4) total distance traveled in the state space. No significant correlations between TMS parameters and large-scale networks connectivity were observed. However, we observed a significant correlation between short-interval intracortical inhibition–intracortical facilitation and four meta-states (all indexes p < 0.02, false discovery rate-corrected). This study suggests that neurotransmitter imbalance dysregulates brain dynamic fluidity, linking microscopic and macroscopic changes in FTD
Impaired spatial dynamic functional network connectivity and neurophysiological correlates in functional hemiparesis
No full textThe present study investigated spatial dynamic functional network connectivity (dFNC) in patients with functional hemiparesis (i.e., functional stroke mimics, FSM). The aim of this work was to assess static functional connectivity (large-scale) networks and dynamic brain states, which represent distinct dFNC patterns that reoccur in time and across subjects. Resting-state fMRI data were collected from 15 patients with FSM (mean age = 42.3 ± 9.4, female = 80 %) and 52 age-matched healthy controls (HC, mean age = 42.1 ± 8.6, female = 73 %). Each patient underwent a resting-state functional MRI scan for spatial dFNC evaluation and transcranial magnetic stimulation protocols for indirect assessment of GABAergic and glutamatergic transmission. We considered three dynamic brain networks, i.e., the somatomotor network (SMN), the default mode network (DMN) and the salience network (SN), each summarized into four distinct recurring spatial configurations. Compared to HC, patients with FSM showed significant decreased dwell time, e.g. the time each individual spends in each spatial state of each network, in state 2 of the SMN (HC vs. FSM, 13.5 ± 27.1 vs. 1.9 ± 4.1, p = 0.044). Conversely, as compared to HC, FSM spent more time in state 1 of the DMN (10.8 ± 14.9 vs. 27.3 ± 38.9, p = 0.037) and in state 3 of the SN (23.1 ± 23.0 vs. 38.8 ± 38.2, p = 0.002). We found a significant correlation between the dwell time of impaired functional state of the SMN and measures of GABAergic neurotransmission (r = 0.581, p = 0.037). Specifically, longer impaired dwell time was associated with greater GABAergic inhibition. These findings demonstrate that FSM present altered functional brain network dynamics, which correlate with measures of GABAergic neurotransmission. Both dFNC and GABAergic neurotransmission may serve as potential targets for future intervention strategies
FIGURE 1 in Resolving two centuries of mistaken identity: Reinterpretation of Papilio marcus Fabricius, 1787 (Lepidoptera: Nymphalidae, Hesperiidae)
No full textFIGURE 1. Pictures of relevant Troyus species: A) sequenced Troyus phyllides from Suriname (molecular voucher: 19022E04; deposited in USNM); B) genitalia of Troyus phyllides from Rondônia, Brazil (dissection vial: SN-20-107; deposited in MGCL); C) Lectotype of Papilio marcus Fabricius, 1787 housed in ZMUC (ZMUC 00029699); D) Lectotype of Vettius phyllides housed at SMT (molecular voucher: 18094F06).Published as part of Nakahara, Shinichi, Zilli, Alberto, Calhoun, John V., Espeland, Marianne, Padrón, Pablo Sebastián & Grishin, Nick V., 2022, Resolving two centuries of mistaken identity: Reinterpretation of Papilio marcus Fabricius, 1787 (Lepidoptera: Nymphalidae, Hesperiidae), pp. 241-255 in Zootaxa 5195 (3) on page 245, DOI: 10.11646/zootaxa.5195.3.3, http://zenodo.org/record/718783
An open reply to "What is going on at the Library of Congress?" by Thomas Mann
No full textThis is an open response to a report by Thomas Mann at the Library of Congress concerning changes in cataloging. The author contends that, although the current changes at the Library of Congress are suspect, changes are imminent and experienced catalogers must offer positive suggestions for change, otherwise they will be ignored by management
Intrinsic neural network dynamics in catatonia
No full textCatatonia is a transnosologic psychomotor syndrome with high prevalence in schizophrenia spectrum disorders (SSD). There is mounting neuroimaging evidence that catatonia is associated with aberrant frontoparietal, thalamic and cerebellar regions. Large-scale brain network dynamics in catatonia have not been investigated so far. In this study, resting-state fMRI data from 58 right-handed SSD patients were considered. Catatonic symptoms were examined on the Northoff Catatonia Rating Scale (NCRS). Group spatial independent component analysis was carried out with a multiple analysis of covariance (MANCOVA) approach to estimate and test the underlying intrinsic components (ICs) in SSD patients with (NCRS total score ≥ 3; n = 30) and without (NCRS total score = 0; n = 28) catatonia. Functional network connectivity (FNC) during rest was calculated between pairs of ICs and transient changes in connectivity were estimated using sliding windowing and clustering (to capture both static and dynamic FNC). Catatonic patients showed increased static FNC in cerebellar networks along with decreased low frequency oscillations in basal ganglia (BG) networks. Catatonic patients had reduced state changes and dwelled more in a state characterized by high within-network correlation of the sensorimotor, visual, and default-mode network with respect to noncatatonic patients. Finally, in catatonic patients according to DSM-IV-TR (n = 44), there was a significant correlation between increased within FNC in cortico-striatal state and NCRS motor scores. The data support a neuromechanistic model of catatonia that emphasizes a key role of disrupted sensorimotor network control during distinct functional states
Decentralized temporal independent component analysis: leveraging fMRI data in collaborative settings
No full textPeer reviewe
Morgan Literary Society 1905 Member Collage
No full textPictured are the members of the Morgan Literary Society for 1905. The photo was donated to the Anniston-Calhoun County Public Library by D. L. Ragland. The Morgan Literary Society was affiliated with Jacksonville State Teachers College, and was formed once the Calhoun Literary Society grew enrollment and divided membership. The Morgan Literary Society was established in 1900 and named for former Alabama Senator, John T. Morgan. Motto: Da mihi scire quod sciendum est. [Grant me knowledge which is worth knowing.] The 1905 members won the annual debate with Calhoun Literary Society. Listed from top to bottom, left to right: Hoonet, Simms, J.C. Jordan, A. F. Lokey, J. F. Walters, Leath, M. Hooper, J. E. Roberts, E. L. Porter, C. E. Lunceford, G. M. Breeden, J. F. Glazner, B. B. Gariffin, W. E. McClanahan, Youngener, J. H. Langley, J. L. Sandlin, T. A. Ventress, H. C. Nixon, B. Donaldson, O. E. TeBow, J. L. James, E. Crook, H. T. Taylor, O. Hooper, T. S. Gariffin, V. H. Marshall, H. E. Morris, R. L. Bramlett, H. M. Ayers [Harry Mell Ayers], Barnett, and W. I. Tilleyhttps://digitalcommons.jsu.edu/lib-ac-histimg/47259/thumbnail.jp
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