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Schizophrenia Bulletin|June 20, 2013
Prefrontal brain network connectivity indicates degree of both schizophrenia risk and cognitive dysfunctionPaul G Unschuld, Alison S Buchholz, Mark Varvaris, et al.
European Journal of Nuclear Medicine and Molecular Imaging|December 4, 2019
The A/T/N model applied through imaging biomarkers in a memory clinicAlessandra Dodich, Aline Mendes, Frédéric Assal, et al.
The European Journal of Neuroscience|September 21, 2016
Hippocampal shape alterations are associated with regional Aβ load in cognitively normal elderly individualsClemens Schroeder, Min Tae M Park, Jürgen Germann, et al.
Neurobiology of Aging|February 24, 2015
Regional cerebral blood flow estimated by early PiB uptake is reduced in mild cognitive impairment and associated with age in an amyloid-dependent mannerAnton F Gietl, Geoffrey Warnock, Florian Riese, et al.
Schizophrenia Bulletin|August 20, 2016
Abnormal Grey Matter Arteriolar Cerebral Blood Volume in Schizophrenia Measured With 3D Inflow-Based Vascular-Space-Occupancy MRI at 7TJun Hua, Allison S Brandt, SeungWook Lee, et al.
Journal of Psychiatric Research|March 26, 2010
Adenosine A(2A) receptor gene: evidence for association of risk variants with panic disorder and anxious personalityChrista Hohoff, Emma L Mullings, Sue V Heatherley, et al.
Nature Reviews. Neurology|March 12, 2014
Huntington disease: natural history, biomarkers and prospects for therapeuticsChristopher A Ross, Elizabeth H Aylward, Edward J Wild, et al.
Neurobiology of Aging|January 10, 2018
Brain amyloid burden and cerebrovascular disease are synergistically associated with neurometabolism in cognitively unimpaired older adultsSimon J Schreiner, Thomas Kirchner, Atul Narkhede, et al.
American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics : the Official Publication of the International Society of Psychiatric Genetics|April 4, 2008
Combined effects of exonic polymorphisms in CRHR1 and AVPR1B genes in a case/control study for panic disorderMartin E Keck, Nikola Kern, Angelika Erhardt, et al.
Neuroimage. Clinical|November 2, 2013
Gross feature recognition of Anatomical Images based on Atlas grid (GAIA): Incorporating the local discrepancy between an atlas and a target image to capture the features of anatomic brain MRIYuan-Yuan Qin, Johnny T Hsu, Shoko Yoshida, et al.
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