TY  - JOUR
A1  - Koenig, Julian
A1  - Abler, Birgit
A1  - Agartz, Ingrid
A1  - akerstedt, Torbjorn
A1  - Andreassen, Ole A.
A1  - Anthony, Mia
A1  - Baer, Karl-Juergen
A1  - Bertsch, Katja
A1  - Brown, Rebecca C.
A1  - Brunner, Romuald
A1  - Carnevali, Luca
A1  - Critchley, Hugo D.
A1  - Cullen, Kathryn R.
A1  - de Geus, Eco J. C.
A1  - de la Cruz, Feliberto
A1  - Dziobek, Isabel
A1  - Ferger, Marc D.
A1  - Fischer, Hakan
A1  - Flor, Herta
A1  - Gaebler, Michael
A1  - Gianaros, Peter J.
A1  - Giummarra, Melita J.
A1  - Greening, Steven G.
A1  - Guendelman, Simon
A1  - Heathers, James A. J.
A1  - Herpertz, Sabine C.
A1  - Hu, Mandy X.
A1  - Jentschke, Sebastian
A1  - Kaess, Michael
A1  - Kaufmann, Tobias
A1  - Klimes-Dougan, Bonnie
A1  - Koelsch, Stefan
A1  - Krauch, Marlene
A1  - Kumral, Deniz
A1  - Lamers, Femke
A1  - Lee, Tae-Ho
A1  - Lekander, Mats
A1  - Lin, Feng
A1  - Lotze, Martin
A1  - Makovac, Elena
A1  - Mancini, Matteo
A1  - Mancke, Falk
A1  - Mansson, Kristoffer N. T.
A1  - Manuck, Stephen B.
A1  - Mather, Mara
A1  - Meeten, Frances
A1  - Min, Jungwon
A1  - Mueller, Bryon
A1  - Muench, Vera
A1  - Nees, Frauke
A1  - Nga, Lin
A1  - Nilsonne, Gustav
A1  - Ordonez Acuna, Daniela
A1  - Osnes, Berge
A1  - Ottaviani, Cristina
A1  - Penninx, Brenda W. J. H.
A1  - Ponzio, Allison
A1  - Poudel, Govinda R.
A1  - Reinelt, Janis
A1  - Ren, Ping
A1  - Sakaki, Michiko
A1  - Schumann, Andy
A1  - Sorensen, Lin
A1  - Specht, Karsten
A1  - Straub, Joana
A1  - Tamm, Sandra
A1  - Thai, Michelle
A1  - Thayer, Julian F.
A1  - Ubani, Benjamin
A1  - van Der Mee, Denise J.
A1  - van Velzen, Laura S.
A1  - Ventura-Bort, Carlos
A1  - Villringer, Arno
A1  - Watson, David R.
A1  - Wei, Luqing
A1  - Wendt, Julia
A1  - Schreiner, Melinda Westlund
A1  - Westlye, Lars T.
A1  - Weymar, Mathias
A1  - Winkelmann, Tobias
A1  - Wu, Guo-Rong
A1  - Yoo, Hyun Joo
A1  - Quintana, Daniel S.
T1  - Cortical thickness and resting-state cardiac function across the lifespan
BT  - a cross-sectional pooled mega-analysis
JF  - Psychophysiology : journal of the Society for Psychophysiological Research
N2  - Understanding the association between autonomic nervous system [ANS] function and brain morphology across the lifespan provides important insights into neurovisceral mechanisms underlying health and disease. Resting-state ANS activity, indexed by measures of heart rate [HR] and its variability [HRV] has been associated with brain morphology, particularly cortical thickness [CT]. While findings have been mixed regarding the anatomical distribution and direction of the associations, these inconsistencies may be due to sex and age differences in HR/HRV and CT. Previous studies have been limited by small sample sizes, which impede the assessment of sex differences and aging effects on the association between ANS function and CT. To overcome these limitations, 20 groups worldwide contributed data collected under similar protocols of CT assessment and HR/HRV recording to be pooled in a mega-analysis (N = 1,218 (50.5% female), mean age 36.7 years (range: 12-87)). Findings suggest a decline in HRV as well as CT with increasing age. CT, particularly in the orbitofrontal cortex, explained additional variance in HRV, beyond the effects of aging. This pattern of results may suggest that the decline in HRV with increasing age is related to a decline in orbitofrontal CT. These effects were independent of sex and specific to HRV; with no significant association between CT and HR. Greater CT across the adult lifespan may be vital for the maintenance of healthy cardiac regulation via the ANS-or greater cardiac vagal activity as indirectly reflected in HRV may slow brain atrophy. Findings reveal an important association between CT and cardiac parasympathetic activity with implications for healthy aging and longevity that should be studied further in longitudinal research.
KW  - aging
KW  - autonomic nervous system
KW  - cortical thickness
KW  - heart rate
KW  - heart
KW  - rate variability
KW  - sex
Y1  - 2020
U6  - https://doi.org/10.1111/psyp.13688
SN  - 0048-5772
SN  - 1469-8986
VL  - 58
IS  - 7
PB  - Wiley
CY  - Hoboken
ER  - 
TY  - BOOK
A1  - Görtemaker, Manfred
A1  - Holtmann, Everhard
A1  - Ismayr, Wolfgang
A1  - Cullen, Michael
A1  - Wagner, Volker
T1  - Das deutsche Parlament
Y1  - 2009
SN  - 978-3-86649-280-6
PB  - Budrich
CY  - Opladen
ER  - 
TY  - BOOK
A1  - Görtemaker, Manfred
A1  - Holtmann, Everhard
A1  - Ismayr, Wolfgang
A1  - Cullen, Michael
A1  - Wagner, Volker
A1  - Rauer, Georgia
T1  - Das deutsche Parlament
Y1  - 2010
SN  - 978-3-86649-355-1
PB  - Budrich
CY  - Opladen
ER  - 
TY  - JOUR
A1  - Noonan, Michael J.
A1  - Tucker, Marlee A.
A1  - Fleming, Christen H.
A1  - Akre, Thomas S.
A1  - Alberts, Susan C.
A1  - Ali, Abdullahi H.
A1  - Altmann, Jeanne
A1  - Antunes, Pamela Castro
A1  - Belant, Jerrold L.
A1  - Beyer, Dean
A1  - Blaum, Niels
A1  - Boehning-Gaese, Katrin
A1  - Cullen Jr, Laury
A1  - de Paula, Rogerio Cunha
A1  - Dekker, Jasja
A1  - Drescher-Lehman, Jonathan
A1  - Farwig, Nina
A1  - Fichtel, Claudia
A1  - Fischer, Christina
A1  - Ford, Adam T.
A1  - Goheen, Jacob R.
A1  - Janssen, Rene
A1  - Jeltsch, Florian
A1  - Kauffman, Matthew
A1  - Kappeler, Peter M.
A1  - Koch, Flavia
A1  - LaPoint, Scott
A1  - Markham, A. Catherine
A1  - Medici, Emilia Patricia
A1  - Morato, Ronaldo G.
A1  - Nathan, Ran
A1  - Oliveira-Santos, Luiz Gustavo R.
A1  - Olson, Kirk A.
A1  - Patterson, Bruce D.
A1  - Paviolo, Agustin
A1  - Ramalho, Emiliano Estero
A1  - Rosner, Sascha
A1  - Schabo, Dana G.
A1  - Selva, Nuria
A1  - Sergiel, Agnieszka
A1  - da Silva, Marina Xavier
A1  - Spiegel, Orr
A1  - Thompson, Peter
A1  - Ullmann, Wiebke
A1  - Zieba, Filip
A1  - Zwijacz-Kozica, Tomasz
A1  - Fagan, William F.
A1  - Mueller, Thomas
A1  - Calabrese, Justin M.
T1  - A comprehensive analysis of autocorrelation and bias in home range estimation
JF  - Ecological monographs : a publication of the Ecological Society of America.
N2  - Home range estimation is routine practice in ecological research. While advances in animal tracking technology have increased our capacity to collect data to support home range analysis, these same advances have also resulted in increasingly autocorrelated data. Consequently, the question of which home range estimator to use on modern, highly autocorrelated tracking data remains open. This question is particularly relevant given that most estimators assume independently sampled data. Here, we provide a comprehensive evaluation of the effects of autocorrelation on home range estimation. We base our study on an extensive data set of GPS locations from 369 individuals representing 27 species distributed across five continents. We first assemble a broad array of home range estimators, including Kernel Density Estimation (KDE) with four bandwidth optimizers (Gaussian reference function, autocorrelated‐Gaussian reference function [AKDE], Silverman's rule of thumb, and least squares cross‐validation), Minimum Convex Polygon, and Local Convex Hull methods. Notably, all of these estimators except AKDE assume independent and identically distributed (IID) data. We then employ half‐sample cross‐validation to objectively quantify estimator performance, and the recently introduced effective sample size for home range area estimation ( N̂ area
) to quantify the information content of each data set. We found that AKDE 95% area estimates were larger than conventional IID‐based estimates by a mean factor of 2. The median number of cross‐validated locations included in the hold‐out sets by AKDE 95% (or 50%) estimates was 95.3% (or 50.1%), confirming the larger AKDE ranges were appropriately selective at the specified quantile. Conversely, conventional estimates exhibited negative bias that increased with decreasing N̂ area. To contextualize our empirical results, we performed a detailed simulation study to tease apart how sampling frequency, sampling duration, and the focal animal's movement conspire to affect range estimates. Paralleling our empirical results, the simulation study demonstrated that AKDE was generally more accurate than conventional methods, particularly for small N̂ area. While 72% of the 369 empirical data sets had >1,000 total observations, only 4% had an N̂ area >1,000, where 30% had an N̂ area <30. In this frequently encountered scenario of small N̂ area, AKDE was the only estimator capable of producing an accurate home range estimate on autocorrelated data.
KW  - animal movement
KW  - kernel density estimation
KW  - local convex hull
KW  - minimum convex polygon
KW  - range distribution
KW  - space use
KW  - telemetry
KW  - tracking data
Y1  - 2018
U6  - https://doi.org/10.1002/ecm.1344
SN  - 0012-9615
SN  - 1557-7015
VL  - 89
IS  - 2
PB  - Wiley
CY  - Hoboken
ER  -