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Sheline received consulting and speakers fees from Eli Lilly, Inc. www.sobp.org/journal ...doi:10.1016/j.biopsych.2011.06.006 pmid:21791257 pmcid:PMC3733566 fatcat:pn7oj6mfmrgyjkfqdllsyxiltq
Sheline has received research support from NIH and compensation for development of educational presentations from Eli Lilly.x ... Hickie I, Scott E, Mitchell P, Wilhelm K, Austin MP, Bennett B. ... Sheline YI, Price JL, Vaishnavi SN, Mintun MA, Barch DM, Epstein AA, et al. ...doi:10.1007/s11920-012-0279-6 pmid:22562412 pmcid:PMC3752388 fatcat:4utegwkhgzgbbo3avq7kiqq5eq
McConathy and Sheline Page 16 McConathy and Sheline Page 17 Table 1 1 Biol Psychiatry. Author manuscript; available in PMC 2016 April 15. ... The rate in stage 0 was 5%, Stage I (amyloidosis only) was 11%, Stage II (including structural MRI abnormalities) was 21% and Stage III, with the addition of cognitive change was 43% (37) . ...doi:10.1016/j.biopsych.2014.08.024 pmid:25442005 pmcid:PMC4362908 fatcat:a4ws6xrpuza5nlawxme6nz3xmu
As shown in Figure 2 , amyloid accumulation (preclinical AD-Stage I) is imaged with positron emission tomography (PET) scanning. ... Adapted from Sheline et al (68) . Figure 3. Similarity in Regions of Connectivity Loss in Early AD and Cognitively Normal Elderly with Increased Brain Amyloid Binding Figure 1 . 1 Figure 1. ...doi:10.1016/j.biopsych.2012.11.028 pmid:23290495 pmcid:PMC3537262 fatcat:msh6yrrburcjbiuosuzungl7bi
Objective: The purpose of this study was to investigate the effect of antidepressant treatment on hippocampal volumes in patients with major depression.doi:10.1176/appi.ajp.160.8.1516 pmid:12900317 fatcat:ox2vq5vflvaedplphm7oqwbxhe
In simulation studies, we show that longitudinal ComBat is more powerful for detecting longitudinal change than cross-sectional ComBat, and controls the type I error rate better than unharmonized data ... T., Sheline, Y. I., 2018. ... iν τ 2 i γ 2 iν − 2 τ 2 i jk z ijν (t ijk ) + δ 2 iν γ i n i τ 2 i + δ 2 iν γ iν . ...doi:10.1101/868810 fatcat:yyugvmos55gnxbsnjxcxkpn3bi
Yvette Sheline's lab for providing data. ... For the seed region, Sheline et al. (2010a Sheline et al. ( , 2010b selected bilateral precuneus (Talairach coordinates +/−7, −60, +21) (Talairach and Tournoux, 1988) , which is among the regions affected ... ε2 i3 ) T for CSF-40, and ε3 i = (ε̂3 i1 , ε3 i2 , ε3 i3 ) T for CSF-42. ...doi:10.1016/j.neuroimage.2012.08.036 pmid:22906513 pmcid:PMC3491908 fatcat:afup3dfk2bdfpo42k5mpm46mkq
Older adults with depression often present with signs and symptoms indicative of functional or cognitive impairment. These somatic symptoms make evaluating and treating depression in older adults more complex. Late life depression (LLD), depression in adults over the age of 65, is more frequently associated with cognitive changes. Cognitive impairment in LLD may be a result of the depressive disorder or an underlying dementing condition. Memory complaints are also common in older adults withpmid:19503765 pmcid:PMC2685224 fatcat:lur2hh25wjgxdaxg4qk7ycr55m
more »... ression. There is a wide range of cognitive impairment in LLD including decreased central processing speed, executive dysfunction, and impaired short-term memory. The etiology of cognitive impairment in LLD may include cerebrovascular disease, a significant risk factor for LLD, which likely interrupts key pathways between frontal white matter and subcortical structures important in mood regulation. Because depressive symptoms often coexist with dementia, it is important to determine the temporal relationship between depressive symptoms and cognitive change. If depressive symptoms pre-date the cognitive impairment and cognitive symptoms are mild and temporary, LLD is the likely etiology of the cognitive impairment. If cognitive changes appear prior to depressive symptoms and persist after LLD is successfully treated, an underlying dementia is more likely. Clinicians should be exclude common conditions such as thyroid disease which can contribute to depressive symptoms and cognitive impairment prior to treating LLD. Both antidepressants and psychotherapy can be effective in treating LLD. Subsequent evaluations following treatment should also reassess cognition.
AbstractWrist-worn accelerometer actigraphy devices present the opportunity for large-scale data collection from people during their daily lives. Using data from approximately 100,000 participants in the UK Biobank, actigraphy-derived measures of physical activity, sleep, and diurnal rhythms were associated in exploration and validation cohorts with a full phenome-wide set of diagnoses, biomarkers and metadata. Rhythmicity was captured by two independent models based on accelerometer and skindoi:10.1101/2021.12.09.21267558 fatcat:xz3glyjkkfgorajzixg3hpopvq
more »... mperature harnessing behavioral (diurnal) and molecular (circadian) components. We found that robust rhythms significantly with biomarkers, survival, and phenotypes including diabetes, hypertension, mood disorders, and chronic airway obstruction; these associations were comparable to those with physical activity and sleep. Surprisingly, associations were mostly consistent between the sexes, while modulation by age was significant. More importantly, rhythms were found to be powerful predictors of future diseases: a two standard deviation difference in wrist temperature rhythms corresponded to increases in rate of diagnosis of 61% in diabetes, 38% in chronic airway obstruction, 27% in anxiety disorders, and 22% in hypertension. Our PheWAS of actigraphy data in the UK Biobank establishes that rhythmicity is fundamental to modeling disease trajectories, as are physical activity and sleep. Integration of long-term remote biosensing into patient care could thus afford an individualized approach to risk management.
We used the K i and IC 50 values to determine necessary concentrations of each compound (reverse microdialysis (Rev MD) concentration). ... Concentrations used took into account the IC 50 or K i for each compound and only 10 % delivery across the membrane at a 1 μl/min flow rate (Table 1 ). ...doi:10.1186/s13024-016-0112-5 pmid:27315796 pmcid:PMC4912779 fatcat:jdkeyw5rondenesrxn4mas7y7u
In simulation studies, we show that longitudinal ComBat is more powerful for detecting longitudinal change than cross-sectional ComBat and controls the type I error rate better than unharmonized data with ... using γ iν , γ i , τ i 2 , as defined above, and δ iν 2 * , defined below: γ iν * = E[γ iν | Z iν , δ iν 2 ] = n i τ i 2 γ iν + δ iν 2 * γ i n i τ i 2 + δ iν 2 * . ... − γ iν ) 2 exp − 1 2τ i 2 (γ iν − γ i ) 2 ∝ exp − 1 2 n i τ i 2 + δ iν 2 δ iν 2 τ i 2 γ iν 2 − 2 τ i 2 ∑ jk z ijν (t ijk ) + δ iν 2 γ i n i τ i 2 + δ iν 2 γ iν . ...doi:10.1016/j.neuroimage.2020.117129 pmid:32640273 pmcid:PMC7605103 fatcat:4ngmfvob25bfnpm4tqrridyklu
et al 1996 Sheline et al , 1999 , and the core nuclei of the amygdala (Sheline et al 1998) . ... (Lenze and Sheline 1999 ) also had high resolution. ...doi:10.1016/s0006-3223(00)00994-x pmid:11063975 fatcat:7qoj4pkauvguzojqeoyooauqyu
Sheline, Y.I., et al., Resting-state functional MRI in depression unmasks increased connectivity between networks via the dorsal nexus. Proc Natl Acad Sci U S A, 2010. 107(24): p. 11020-5. 43. ... j, , is the standard deviation of those weights and , is the number of connections constituting community-pair i,j. ... Supplemental RTS #5 When I am anticipating an interaction, I will imagine every possible scenario and conversation. (which was not certified by peer review) is the author/funder. ...doi:10.1101/2021.03.05.434151 fatcat:7ayhosx7q5gvdh5eeq4nufdjje
Our previous work, as well as that of other studies has found an association between MDD and hippocampal volume loss (Sheline et al., 1996; 1999; for reviews see Sheline 2003; Videbech and Ravnkilde ... defined by specific rules (Bartzokis et al., 1993; Sheline et al., 1999) using stereological estimation methods. ...doi:10.1016/j.pscychresns.2007.04.004 pmid:18068956 pmcid:PMC3588158 fatcat:xns3hcvporhrfjwq7wmewpqvke
Other support NIMH support includes: K24MH06628(Bartels); K24MH07150 (Lyness); K24MH079510 (Sheline); K02MH001621 (Smith) ...doi:10.1097/acm.0b013e3182254399 pmid:21785315 pmcid:PMC3162100 fatcat:uilm5tlxyff6bpoxxgfy2ohhce
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