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In Vivo Hippocampal Subfield Volumes in Schizophrenia and Bipolar Disorder

Unn K. Haukvik, Lars T. Westlye, Lynn Mørch-Johnsen, Kjetil N. Jørgensen, Elisabeth H. Lange, Anders M. Dale, Ingrid Melle, Ole A. Andreassen, Ingrid Agartz
2015 Biological Psychiatry  
Patients with bipolar disorder were classified as having psychotic or nonpsychotic bipolar disorder based on the presence of either a current psychotic episode (defined as a score of $4 on any one of the  ...  We found smaller subiculum volume to be related to poorer immediate and delayed verbal recall in patients with bipolar disorder and healthy control subjects.  ... 
doi:10.1016/j.biopsych.2014.06.020 pmid:25127742 fatcat:chdtpmuljfaoxhcvzcvkyhpu3e

Distinguishing between Unipolar Depression and Bipolar Depression: Current and Future Clinical and Neuroimaging Perspectives

Jorge Renner Cardoso de Almeida, Mary Louise Phillips
2013 Biological Psychiatry  
Differentiating bipolar disorder (BD) from recurrent unipolar depression (UD) is a major clinical challenge.  ...  , and differential patterns of functional abnormalities in emotion regulation and attentional control neural circuitry in the two depression types.  ...  Phillips reports having support from R01 MH076971-01, RO1 MH073953 (LAMS), 2RO1 MH060952-11 (BIOS) and U01MH092221-01 (EMBARC).  ... 
doi:10.1016/j.biopsych.2012.06.010 pmid:22784485 pmcid:PMC3494754 fatcat:iipn3ugegbaw3jq7qk4l2j6hxi

Neuroimaging biomarkers in bipolar disorder

Josselin Houenou
2012 Frontiers in Bioscience (Elite Edition)  
The diagnosis of bipolar disorder is currently based entirely on clinical evaluation, without any possibility of confirming the diagnosis by laboratory tests.  ...  These WMH are located in the deep white matter and in the periventricular areas, and have been identified in BD patients during their first episode (8) .  ... 
doi:10.2741/e402 fatcat:idokvr2ajfburpmvoji3mq2lie

Deep Neural Network to Differentiate Brain Activity Between Patients With First-Episode Schizophrenia and Healthy Individuals: A Multi-Channel Near Infrared Spectroscopy Study

Po-Han Chou, Yun-Han Yao, Rui-Xuan Zheng, Yi-Long Liou, Tsung-Te Liu, Hsien-Yuan Lane, Albert C. Yang, Shao-Cheng Wang
2021 Frontiers in Psychiatry  
This study aimed to differentiate between patients with FES and healthy controls (HCs) on basis of the frontotemporal activity measured by NIRS with a support vector machine (SVM) and deep neural network  ...  Backgrounds: Reduced brain cortical activity over the frontotemporal regions measured by near infrared spectroscopy (NIRS) has been reported in patients with first-episode schizophrenia (FES).  ...  To the best of our knowledge, this is the first study using deep learning to automatically differentiate FES from HC based on brain cortical activity features.  ... 
doi:10.3389/fpsyt.2021.655292 pmid:33935840 pmcid:PMC8081971 fatcat:5ys235d3yffhnlz3fd6x3y5bvy

Brain gray matter phenotypes across the psychosis dimension

Elena I. Ivleva, Anup S. Bidesi, Binu P. Thomas, Shashwath A. Meda, Alan Francis, Amanda F. Moates, Bradley Witte, Matcheri S. Keshavan, Carol A. Tamminga
2012 Psychiatry Research : Neuroimaging  
), 17 with psychotic bipolar I disorder (BD-P) and 10 healthy controls (HC).  ...  This study sought to examine whole brain and regional gray matter (GM) phenotypes across the schizophrenia (SZ)-bipolar disorder psychosis dimension using voxel-based morphometry (VBM 8.0 with DARTEL segmentation  ...  Funding This work was supported by National Institute of Mental Health (MH077851-01A1, and MH 78113, Bipolar & Schizophrenia Consortium for Parsing Endophenotypes).  ... 
doi:10.1016/j.pscychresns.2012.05.001 pmid:23177922 pmcid:PMC3589584 fatcat:lwxdse4urvhktdfcu6bb6xyh4a

Machine Learning in Detecting Schizophrenia: An Overview

Gurparsad Singh Suri, Gurleen Kaur, Sara Moein
2021 Intelligent Automation and Soft Computing  
Reviewing a large number of studies shows that a support vector machine, deep neural network, and random forest predict SZ with a high accuracy of 70%-90%.  ...  Recently, scientists applied machine learning (ML) and artificial intelligence for the detection, monitoring, and prognosis of a range of diseases, including SZ, because these techniques show a high performance  ...  Another study [38] used NLP for predicting psychosis based on 40 interview transcripts with the first episode of psychosis.  ... 
doi:10.32604/iasc.2021.015049 fatcat:q2jyzc4on5btrlnhafqis3kxt4

Classification and Prediction of Brain Disorders Using Functional Connectivity: Promising but Challenging

Yuhui Du, Zening Fu, Vince D. Calhoun
2018 Frontiers in Neuroscience  
In terms of model building, we include traditional classifiers as well as more recently applied deep learning methods.  ...  Moreover, we review representative applications with remarkable classification accuracy for psychosis and mood disorders, neurodevelopmental disorder, and neurological disorders using fMRI data.  ...  Science Foundation of China (Grant No. 61703253, to YD) and Natural Science Foundation of Shanxi Province (Grant No. 2016021077, to YD).  ... 
doi:10.3389/fnins.2018.00525 pmid:30127711 pmcid:PMC6088208 fatcat:b7hdtmrz4vehlhjw4fo2bewhwq

Recent advances of deep learning in psychiatric disorders

Lu Chen, Chunchao Xia, Huaiqiang Sun
2020 Precision Clinical Medicine  
Deep learning (DL) is a recently proposed subset of machine learning methods that has gained extensive attention in the academic world, breaking benchmark records in areas such as visual recognition and  ...  Here, we provide a brief review of recent advances and associated challenges in neuroimaging studies of DL applied to psychiatric disorders.  ...  Acknowledgements This work was supported by National Natural Science Foundation of China (Grant No. 91859203) and Young Elite Scientists Sponsorship Program by CAST (YESS20160060).  ... 
doi:10.1093/pcmedi/pbaa029 pmid:35694413 pmcid:PMC8982596 fatcat:46k3vpw65ndnzcslne4a5fznem

Integrated Neurobiology of Bipolar Disorder

Vladimir Maletic, Charles Raison
2014 Frontiers in Psychiatry  
Lateral ventricles were significantly larger in patients with multiple episodes than in the first episode or healthy subjects.  ...  CHANGES IN VENTRICULAR SIZE AND CEREBRAL GRAY MATTER VOLUME Strakowski et al. utilized MRI to compare cerebral ventricle volumes in healthy controls vs. patients suffering their first bipolar episode or  ... 
doi:10.3389/fpsyt.2014.00098 pmid:25202283 pmcid:PMC4142322 fatcat:eemet5r5arfelecpwfxl5uf4r4

Diffusion tensor imaging in first degree relatives of schizophrenia and bipolar disorder patients

Hidayet E. Arat, Virginie-Anne Chouinard, Bruce M. Cohen, Kathryn E. Lewandowski, Dost Öngür
2015 Schizophrenia Research  
In this review, we evaluate published diffusion tensor imaging (DTI) studies comparing first degree relatives of SZ and BD patients and healthy control subjects.  ...  Objectives-White matter (WM) abnormalities are one of the most widely and consistently reported findings in schizophrenia (SZ) and bipolar disorder (BD).  ...  Acknowledgments This work was supported by R01MH094594 (to DO) and the Shervert Frazier Research Institute at McLean Hospital (to BMC) Role of funding source: The funding source had no influence on the  ... 
doi:10.1016/j.schres.2014.12.008 pmid:25542860 pmcid:PMC4308443 fatcat:xybsjxjg5zhtheubs7myz6aufi

A Comprehensive Review of Computer-Aided Diagnosis of Major Mental and Neurological Disorders and Suicide: A Biostatistical Perspective on Data Mining

Mahsa Mansourian, Sadaf Khademi, Hamid Reza Marateb
2021 Diagnostics  
Depressive disorders, schizophrenia, bipolar disorder, Alzheimer's disease, and other dementias account for 1.84%, 0.60%, 0.33%, and 1.00% of total Disability Adjusted Life Years (DALYs).  ...  The World Health Organization (WHO) suggests that mental disorders, neurological disorders, and suicide are growing causes of morbidity.  ...  At least one period of mania is necessary for a specific diagnosis of bipolar disorder I (BD-I), while one hypomania and major depressive episode without a manic episode is essential for bipolar II (BD-II  ... 
doi:10.3390/diagnostics11030393 pmid:33669114 pmcid:PMC7996506 fatcat:zynohu6szjc2rd4kwnd4jc4nje

High-Precise Bipolar Disorder Detection by Using Radial Basis Functions Based Neural Network

Miguel Ángel Luján, Ana M. Torres, Alejandro L. Borja, José L. Santos, Jorge Mateo Sotos
2022 Electronics  
The results show that the proposed method is an effective approach for discrimination of two kinds of classes, i.e., bipolar disorder patients and healthy persons.  ...  Thus, the modelling, characterization, classification, diagnosis, and analysis of such mental disorders bears great significance in medical research.  ...  This study was based on the use of deep learning techniques.  ... 
doi:10.3390/electronics11030343 fatcat:fvoa2cvs4bes3gh3pnq6fcakqu

Psychiatric Neural Networks and Precision Therapeutics by Machine Learning

Hidetoshi Komatsu, Emi Watanabe, Mamoru Fukuchi
2021 Biomedicines  
Learning and environmental adaptation increase the likelihood of survival and improve the quality of life.  ...  In this review, decision-making in real life and psychiatric disorders and the applications of machine learning in brain imaging studies on psychiatric disorders are summarized, and considerations for  ...  Azad and Wei-hsuan Yu for reviewing this manuscript. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/biomedicines9040403 pmid:33917863 fatcat:qnptg73avbc5bdurwcjvf472p4

Artificial intelligence applications in psychoradiology

Fei Li, Huaiqiang Sun, Bharat B Biswal, John A Sweeney, Qiyong Gong
2021 Psychoradiology  
In this review, we selectively summarize psychoradiological research using magnetic resonance imaging of the brain to explore the neural mechanism of psychiatric disorders, and outline progress and the  ...  path forward for the combination of psychoradiology and AI for complementing clinical examinations in patients with psychiatric disorders, as well as limitations in the application of AI that should be  ...  Wenjing Zhang, Lekai Luo, Wanfang You, and Yuxia Wang, who are from Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, for performing aspects of the work  ... 
doi:10.1093/psyrad/kkab009 fatcat:7z3shbc4vzfg7pwmfyumqsgtia

7th European Conference on Schizophrenia Research: Time for precision medicine?

2019 European Archives of Psychiatry and Clinical Neuroscience  
The costs for publication were fully covered by delegates' payments of registration fees.  ...  controls, 42 healthy students scoring either high or low in schizotypal traits, and 22 patients with first episodes of psychosis (FEP).  ...  Methods: Twenty-three drug-naïve, first-episode psychosis patients and twenty-six matched healthy controls completed the study.  ... 
doi:10.1007/s00406-019-01045-6 fatcat:4tbfk4p4yngqto7uxhrdczle54
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