% 
% This file was created by the Typo3 extension
% sevenpack version 0.7.14
% 
% --- Timezone: CEST
% Creation date: 2013-06-19
% Creation time: 00-18-41
% --- Number of references
% 8
% 

@Article { StoewerGKBLDS2012,
   title = {An Analysis Approach for High-Field fMRI Data from Awake Non-Human Primates},
   journal = {PLoS One},
   year = {2012},
   month = {1},
   volume = {7},
   number = {1},
   pages = {1-13},
   abstract = {fMRI experiments with awake non-human primates (NHP) have seen a surge of applications in recent years. However, the standard fMRI analysis tools designed for human experiments are not optimal for analysis of NHP fMRI data collected at high fields. There are several reasons for this, including the trial-based nature of NHP experiments, with inter-trial periods being of no interest, and segmentation artefacts and distortions that may result from field changes due to movement. We demonstrate an approach that allows us to address some of these issues consisting of the following steps: 1) Trial-based experimental design. 2) Careful control of subject movement. 3) Computer-assisted selection of trials devoid of artefacts and animal motion. 4) Nonrigid between-trial and rigid within-trial realignment of concatenated data from temporally separated trials and sessions. 5) Linear interpolation of inter-trial intervals and high-pass filtering of temporally continuous data 6) Removal of interpolated data and reconcatenation of datasets before statistical analysis with SPM. We have implemented a software toolbox, fMRI Sandbox (http://code.google.com/p/fmri-sandbox/), for semi-automated application of these processing steps that interfaces with SPM software. Here, we demonstrate that our methodology provides significant improvements for the analysis of awake monkey fMRI data acquired at high-field. The method may also be useful for clinical applications with subjects that are unwilling or unable to remain motionless for the whole duration of a functional scan.},
   department = {Department Logothetis},
   web_url = {http://www.plosone.org/article/info\%3Adoi\%2F10.1371\%2Fjournal.pone.0029697},
   DOI = {10.1371/journal.pone.0029697},
   EPUB = {e29697},
   author = {Stoewer, S and Goense, J and Keliris, GA and Bartels, A and Logothetis, NK and Duncan, J and Sigala, N}
}

@Article { StoewerGKBLDS2011_2,
   title = {Realignment strategies for awake-monkey fMRI data},
   journal = {Magnetic Resonance Imaging},
   year = {2011},
   month = {12},
   volume = {29},
   number = {10},
   pages = {1390-1400},
   abstract = {Functional magnetic resonance imaging (fMRI) experiments with awake nonhuman primates (NHPs) have recently seen a surge of applications. However, the standard fMRI analysis tools designed for human experiments are not optimal for NHP data collected at high fields. One major difference is the experimental setup. Although real head movement is impossible for NHPs, MRI image series often contain visible motion artifacts. Animal body movement results in image position changes and geometric distortions. Since conventional realignment methods are not appropriate to address such differences, algorithms tailored specifically for animal scanning become essential. We have implemented a series of high-field NHP specific methods in a software toolbox, fMRI Sandbox (http://kyb.tuebingen.mpg.de/\verb=~=stoewer/), which allows us to use different realignment strategies. Here we demonstrate the effect of different realignment strategies on the analysis of awake-monkey fMRI data acquired at high field (7 T). We show that the advantage of using a nonstandard realignment algorithm depends on the amount of distortion in the dataset. While the benefits for less distorted datasets are minor, the improvement of statistical maps for heavily distorted datasets is significant.},
   department = {Department Logothetis},
   web_url = {http://www.sciencedirect.com/science?_ob=MiamiImageURL\&_cid=271222\&_user=29041\&_pii=S0730725X11001809\&_check=y\&_origin=\&_coverDate=31-Dec-2011\&view=c\&wchp=dGLzVBA-zSkWb\&md5=faaec51a67a063db4ac8f1979129b81b/1-s2.0-S0730725X11001809-main.pdf},
   DOI = {10.1016/j.mri.2011.05.003},
   author = {Stoewer, S and Goense, J and Keliris, GA and Bartels, A and Logothetis, NK and Duncan, J and Sigala, N}
}

@Article { 6179,
   title = {Frontoparietal activity with minimal decision and control in the awake Macaque at 7T},
   journal = {Magnetic Resonance Imaging},
   year = {2010},
   month = {10},
   volume = {28},
   number = {8},
   pages = {1120-1128},
   abstract = {Previous imaging work has identified a frontoparietal network in the human brain involved in many cognitive functions, as well as in simple updates of attended information. We examined the activation of frontoparietal areas during visual stimulation in the awake, fixating monkey, in order to determine if a similar network is present in the monkey brain and direct future electrophysiological recordings. We measured activity with BOLD fMRI in three animals and analysed the data individually for each animal, and at group level.    We found reliable activations in lateral prefrontal and parietal areas, even though task-related decision making was minimal, as a response to simple update of visual information.  These activations were significant for each individual animal,  as well as at group level. Similar to human imaging results the update of visual input was enough to activate the frontoparietal cortex in the macaque brain, a network which is normally associated with complex cognitive control processes.},
   department = {Department Logothetis},
   web_url = {http://www.sciencedirect.com/science?_ob=MImg\&_imagekey=B6T9D-4Y960VY-6-C\&_cdi=5112\&_user=29041\&_pii=S0730725X09003166\&_orig=search\&_coverDate=02\%2F01\%2F2010\&_sk=999999999\&view=c\&wchp},
   institute = {Biologische Kybernetik},
   organization = {Max-Planck-Gesellschaft},
   language = {en},
   DOI = {10.1016/j.mri.2009.12.024},
   author = {Stoewer, S and Ku, S-P and Goense, J and Steudel, T and Logothetis, NK and Duncan, J and Sigala, N}
}

@Article { 6209,
   title = {Psychopharmakotherapie in der Notfallmedizin},
   journal = {Notfall und Rettungsmedizin},
   year = {2006},
   month = {5},
   volume = {9},
   number = {4},
   pages = {393-402},
   abstract = {Psychiatrische St{\"o}rungen sind eine h{\"a}ufige Einsatzursache f{\"u}r den Notarzt und in der Notaufnahme. F{\"u}r psychiatrische Notf{\"a}lle au{\ss}erhalb psychiatrischer Kliniken, insbesondere f{\"u}r die medikament{\"o}se Krisenintervention, existieren aber bislang keine Therapiestandards oder evidenzbasierten Therapieleitlinien. In einer Literaturrecherche {\"u}ber den Zeitraum von 1971–2005 fanden sich zu dieser Fragestellung 34 Doppelblindstudien, welche die Wirksamkeit und Vertr{\"a}glichkeit unterschiedlicher Antipsychotika und Benzodiazepine untersuchten. Nach zus{\"a}tzlicher Auswertung pharmakologischer Daten und der Fachinformationen werden im vorliegenden Beitrag differenzialtherapeutische {\"U}berlegungen f{\"u}r die notfallmedizinische Versorgung erl{\"a}utert und Dosierungsempfehlungen gegeben. F{\"u}r den Einsatz im Notarztdienst erscheinen v. a. Haloperidol, Lorazepam und Diazepam geeignet. Eine antipsychotische Medikation ist besonders bei Schizophrenien, Manien, drogeninduzierten Psychosen und Delirien, eine Medikation mit Benzodiazepinen v. a. bei prim{\"a}r psychogenen oder reaktiven Angst-, Unruhe- oder Erregungszust{\"a}nden indiziert. Bei einigen St{\"o}rungsbildern ist eine kombinierte Therapie von Antipsychotika und Benzodiazepinen wahrscheinlich besser und schneller wirksam.},
   web_url = {http://www.springerlink.com/content/1334302303p26302/fulltext.pdf},
   institute = {Biologische Kybernetik},
   organization = {Max-Planck-Gesellschaft},
   language = {de},
   DOI = {10.1007/s10049-006-0831-1},
   author = {Pajonk, FG and Stoewer, S and Kinn, M and Fleiter, B}
}

@Poster { 6178,
   title = {Frontoparietal activity with minimal decision and control in the awake macaque at 7T},
   year = {2009},
   month = {10},
   volume = {39},
   number = {677.16},
   abstract = {In the primate brain a frontoparietal network is involved in many aspects of cognitive control, e.g. during shifts of attention and switches of abstract rules. However, the frontoparietal network in the human brain is also active during simple update of attended information, when task-related decision making is minimal (1) or during the execution of voluntary eye movements (2). The goal of the present study was to identify the network of areas activated by a short series of visual stimuli (meaningless fractal images) while the animals were awake and maintained fixation, in order to compare with the activations elicited in the human brain and to inform and direct future single unit recordings. We obtained activation maps at 7T using BOLD fMRI in three alert macaque monkeys (Macaca mulatta). Functional images were realigned and co-registered with the high-resolution MRI images used in the Saleem and Logothetis atlas (3) to facilitate the identification of the anatomical structures. Areas that were reliably activated in all three animals included areas 8 and F5 around the arcuate sulcus (AS), and the lateral intraparietal area (LIP), along with early and higher areas of the visual system. As in the human, extensive frontoparietal activity was seen despite maintained fixation, and without active behavioural decisions.
Additionally, we present preliminary psychophysical and BOLD fMRI results from a second study. In this experiment, we trained one animal to perform a colour discrimination task by making a saccade to the left (for green) or right (for red) of the screen, and then introduced conditions of increased task difficulty.},
   department = {Department Logothetis},
   web_url = {http://www.abstractsonline.com/Plan/ViewAbstract.aspx?sKey=e599a515-6cac-432b-bd54-1c49698414ac\&cKey=ab501a56-65bf-4152-a13d-9d50c2bd66d7},
   institute = {Biologische Kybernetik},
   organization = {Max-Planck-Gesellschaft},
   event_place = {Chicago, IL, USA},
   event_name = {39th Annual Meeting of the Society for Neuroscience (Neuroscience 2009)},
   language = {en},
   author = {Stoewer, S and Ku, S-PP and Goense, J and Logothetis, NK and Duncan, J and Sigala, N}
}

@Poster { 6177,
   title = {SANDBOX, an interactive fMRI data visualization toolbox},
   year = {2009},
   month = {3},
   volume = {2009},
   department = {Department Logothetis},
   web_url = {http://www2.mrc-lmb.cam.ac.uk/groups/srw/cns/},
   institute = {Biologische Kybernetik},
   organization = {Max-Planck-Gesellschaft},
   event_place = {Cambridge, UK},
   event_name = {21st Cambridge Neuroscience Seminar: New Approaches in Neuroscience (CNS 2009)},
   language = {en},
   author = {Stoewer, S and Duncan, J and Bartels, A and Keliris, GA and Logothetis, NK and Sigala, N}
}

@Thesis { 6208,
   title = {Selektive Aufmerksamkeit als Subkomponente des Continuous Performance Tests im Vergleich zwischen schizophrenen Patienten und Gesunden - eine neuropsychologisch-funktionell-magnetresonanztomographische Untersuchung},
   year = {2005},
   month = {5},
   day = {3},
   department = {Department Logothetis},
   institute = {Biologische Kybernetik},
   organization = {Max-Planck-Gesellschaft},
   institution = {Friedrich-Schiller-Universit{\"a}t Jena},
   type = {PhD},
   language = {de},
   author = {Stoewer, S}
}

@Conference { StoewerSD2011,
   title = {New approaches for the analysis of awake monkey fMRI data: fMRI
Sandbox},
   year = {2011},
   month = {10},
   volume = {12},
   pages = {17},
   abstract = {fMRI experiments with awake non-human primates (NHP) have become more widespread in
recent years. However, the standard fMRI analysis tools designed for human experiments are
not well suited for analysis of NHP fMRI data collected at high fields. There are several reasons
for this, including the trial-based nature of NHP experiments, with inter-trial periods being of
no interest, and various artefacts that may result from field changes due to animal movement.
We demonstrate an approach that allows us to address some of these issues. We have implemented
a software toolbox, fMRI Sandbox (http://www.kyb.tuebingen.mpg.de/ stoewer),
for semi-automated application of these processing steps that interfaces with SPM software.
Here, we demonstrate that our methodology provides significant improvements for the analysis
of awake monkey fMRI data acquired at high-field. The method may also be useful for
clinical applications with subjects that are unwilling or unable to remain motionless for the
whole duration of a functional scan.},
   department = {Department Logothetis},
   talk_type = {Abstract Talk},
   web_url = {http://www.neuroschool-tuebingen-nena.de/index.php?id=284},
   event_place = {Heiligkreuztal, Germany},
   event_name = {12th Conference of Junior Neuroscientists of T{\"u}bingen (NeNA 2011)},
   author = {Stoewer, S and Sigala, N and Duncan, J}
}