Utilizing structural MRI and unsupervised clustering to differentiate schizophrenia and Alzheimer's disease in late-onset psychosis.

Autor: Hojjati SH; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA. Electronic address: shh4006@med.cornell.edu., Chen K; College of Health Solutions, Arizona State University, Phoenix, AZ, USA; School of Mathematics and Statistics, Arizona State University, Phoenix, AZ, USA; Department of Neurology, University of Arizona College of Medicine, Phoenix, AZ, USA; Banner Alzheimer's Institute, Phoenix, AZ, USA., Chiang GC; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA., Kuceyeski A; Department of Computational Biology, Cornell University, Ithaca, NY, USA; Department of Psychiatry, Brain Health Institute, Rutgers University, Piscataway, NJ, USA., Wang XH; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA., Razlighi QR; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA., Pahlajani S; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA., Glodzik L; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA., Tanzi EB; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA., Reinhardt M; Department of Psychiatry, SUNY Downstate Medical Center, Brooklyn, NY, USA., Butler TA; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA.

Publikováno v: Behavioural brain research [Behav Brain Res] 2024 Dec 05; Vol. 480, pp. 115386. Date of Electronic Publication: 2024 Dec 05.

Increased between-network connectivity: A risk factor for tau elevation and disease progression.

Autor: Hojjati SH; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, United States. Electronic address: shh4006@med.cornell.edu., Butler TA; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, United States., Luchsinger JA; Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States; Department of Epidemiology, Columbia University Irving Medical Center, New York, NY, United States., Benitez R; Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States., de Leon M; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, United States., Nayak S; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, United States., Razlighi QR; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, United States., Chiang GC; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, United States.

Publikováno v: Neuroscience letters [Neurosci Lett] 2024 Sep 25; Vol. 840, pp. 137943. Date of Electronic Publication: 2024 Aug 15.

Remote Associations Between Tau and Cortical Amyloid-β Are Stage-Dependent.

Autor: Hojjati SH; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA., Chiang GC; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA., Butler TA; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA., de Leon M; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA., Gupta A; Department of Radiology, Weill Cornell Medicine, New York, NY, USA., Li Y; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA., Sabuncu MR; Department of Radiology, Weill Cornell Medicine, New York, NY, USA.; Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA., Feiz F; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA., Nayak S; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA., Shteingart J; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA., Ozoria S; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA., Gholipour Picha S; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA.; Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA., Stern Y; Departments of Neurology, Psychiatry, GH Sergievsky Center, The Taub Institute for the Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA., Luchsinger JA; Departments of Medicine and Epidemiology, Columbia University Irving Medical Center, New York, NY, USA., Devanand DP; Division of Geriatric Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center, New York, NY, USA.; Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA.; Department of Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center, New York, NY, USA., Razlighi QR; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA.

Publikováno v: Journal of Alzheimer's disease : JAD [J Alzheimers Dis] 2024; Vol. 98 (4), pp. 1467-1482.

Prediction and Modeling of Neuropsychological Scores in Alzheimer's Disease Using Multimodal Neuroimaging Data and Artificial Neural Networks.

Autor: Hojjati SH; Quantitative Neuroimaging Laboratory, Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, United States., Babajani-Feremi A; Department of Neurology, Dell Medical School, The University of Texas at Austin, Austin, TX, United States.; Department of Neurosurgery, Dell Medical School, The University of Texas at Austin, Austin, TX, United States.; Magnetoencephalography Laboratory, Dell Children's Medical Center, Austin, TX, United States.

Publikováno v: Frontiers in computational neuroscience [Front Comput Neurosci] 2022 Jan 06; Vol. 15, pp. 769982. Date of Electronic Publication: 2022 Jan 06 (Print Publication: 2021).

Targeted and Controlled Drug Delivery to a Rat Model of Heart Failure Through a Magnetic Nanocomposite.

Autor: Kiaie N; Department of Tissue Engineering, Amirkabir University of Technology, Tehran, Iran., Emami SH; Department of Tissue Engineering, Amirkabir University of Technology, Tehran, Iran. semami@aut.ac.ir., Rabbani S; Research Center for Advanced Technologies in Cardiovascular Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran., Aghdam RM; Schools of Metallurgy & Materials Engineering, College of Engineering, University of Tehran, Tehran, Iran., Tafti HA; Research Center for Advanced Technologies in Cardiovascular Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran. ahmadita@sina.tums.ac.ir.

Publikováno v: Annals of biomedical engineering [Ann Biomed Eng] 2020 Feb; Vol. 48 (2), pp. 709-721. Date of Electronic Publication: 2019 Nov 06.