Filters








358 Hits in 20.3 sec

Towards the identification of imaging biomarkers in schizophrenia, using multivariate pattern classification at a single-subject level

Eleni Zarogianni, Thomas W.J. Moorhead, Stephen M. Lawrie
<span title="2013-09-13">2013</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/47gmsc3hojdm5kdlgbg4peyvyi" style="color: black;">NeuroImage: Clinical</a> </i> &nbsp;
Standard univariate analyses of brain imaging data have revealed a host of structural and functional brain alterations in schizophrenia.  ...  and treatment response of schizophrenia, and could, thus, be of high clinical relevance.  ...  structural MRI to distinguish patients with schizophrenia from healthy controls.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.nicl.2013.09.003">doi:10.1016/j.nicl.2013.09.003</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/24273713">pmid:24273713</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3814947/">pmcid:PMC3814947</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rcwcwtcxx5hcrgoqwdb33gbysa">fatcat:rcwcwtcxx5hcrgoqwdb33gbysa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190313235240/https://core.ac.uk/download/pdf/82447962.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/49/15/49151360b67ee6ae91932a31f28587abe237ec42.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.nicl.2013.09.003"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3814947" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Classification of tic disorders based on functional MRI by machine learning: a study protocol

Fang Wang, Fang Wen, Jingran Liu, Junjuan Yan, Liping Yu, Ying Li, Yonghua Cui
<span title="2022-05-16">2022</span> <i title="BMJ"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cadiaxy7y5alle7oylyd7rqmnu" style="color: black;">BMJ Open</a> </i> &nbsp;
However, few machine learning models have been built for the diagnostic classification of patients with TD.  ...  Therefore, in the present study, we will provide a study protocol that uses the machine learning model to make early classifications of the three different types of TD.Methods and analysisWe planned to  ...  Acknowledgements Thank you very much to all authors involved in this study. Contributors For this manuscript, YC took the initiative. FWen, LY, JY and JL will participate in the data collection.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1136/bmjopen-2020-047343">doi:10.1136/bmjopen-2020-047343</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/35577466">pmid:35577466</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/um2hob2jzbewtn3o6odd4grc3y">fatcat:um2hob2jzbewtn3o6odd4grc3y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220518113920/https://bmjopen.bmj.com/content/bmjopen/12/5/e047343.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ad/ee/adeeb9084bc04056678108b8f861ccee9da2398f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1136/bmjopen-2020-047343"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> bmj.org </button> </a>

Schizophrenia: A Survey of Artificial Intelligence Techniques Applied to Detection and Classification

Joel Weijia Lai, Candice Ke En Ang, U. Rajendra Acharya, Kang Hao Cheong
<span title="2021-06-05">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vyslcn4ljzdq3jes5w7fln3qyu" style="color: black;">International Journal of Environmental Research and Public Health</a> </i> &nbsp;
Multiple artificial intelligence and machine learning algorithms have been utilized to analyze the different components of schizophrenia, such as in prediction of disease, and assessment of current prevention  ...  Schizophrenia is a chronic mental health condition that affects millions worldwide, with impairment in thinking and behaviour that may be significantly disabling to daily living.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/ijerph18116099">doi:10.3390/ijerph18116099</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34198829">pmid:34198829</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8201065/">pmcid:PMC8201065</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fz5ht4zguneylb6hh26fxbjiia">fatcat:fz5ht4zguneylb6hh26fxbjiia</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210617104213/https://res.mdpi.com/d_attachment/ijerph/ijerph-18-06099/article_deploy/ijerph-18-06099-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fc/0b/fc0b2aab5b26933f6998dc80017f64fdf2459236.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/ijerph18116099"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201065" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

A Hybrid Machine Learning Method for Fusing fMRI and Genetic Data: Combining both Improves Classification of Schizophrenia

Honghui Yang, Jingyu Liu, Jing Sui, Godfrey Pearlson, Vince D. Calhoun
<span title="">2010</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/adcuz6lgabeidhngmk32v7egkq" style="color: black;">Frontiers in Human Neuroscience</a> </i> &nbsp;
We demonstrate a hybrid machine learning method to classify schizophrenia patients and healthy controls, using functional magnetic resonance imaging (fMRI) and single nucleotide polymorphism (SNP) data  ...  The method consists of four stages: (1) SNPs with the most discriminating information between the healthy controls and schizophrenia patients are selected to construct a support vector machine ensemble  ...  mEthods thE hybrId machInE lEarnIng mEthod A two-class supervised learning problem can be written as a formula, X x = ( ) ∈ ∈ − + { } = { } i i i d i y y i m , , , , , , , , , x R 1 1 1 2  with m samples  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fnhum.2010.00192">doi:10.3389/fnhum.2010.00192</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/21119772">pmid:21119772</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC2990459/">pmcid:PMC2990459</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/o46yea3ttnc25lc745fncyvade">fatcat:o46yea3ttnc25lc745fncyvade</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170830043708/https://fjfsdata01prod.blob.core.windows.net/articles/files/2097/pubmed-zip/.versions/2/.package-entries/fnhum-04-00192-r1/fnhum-04-00192.pdf?sv=2015-12-11&amp;sr=b&amp;sig=aE1ufaQNrDVXTS%2F8i4jgP3x%2Be861oVnn2TMiSgiJ958%3D&amp;se=2017-08-30T04%3A37%3A09Z&amp;sp=r&amp;rscd=attachment%3B%20filename%2A%3DUTF-8%27%27fnhum-04-00192.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bf/76/bf76d18a522fc519d6d5f3b20db0a53290139129.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fnhum.2010.00192"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2990459" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Deep learning applications for the classification of psychiatric disorders using neuroimaging data: systematic review and meta-analysis [article]

Mirjam Quaak, Laurens van de Mortel, Rajat Mani Thomas, Guido van Wingen
<span title="2020-06-14">2020</span> <i title="Cold Spring Harbor Laboratory"> medRxiv </i> &nbsp; <span class="release-stage" >pre-print</span>
These results suggest that deep learning of neuroimaging data is a promising tool for the classification of individual psychiatric patients.  ...  Deep learning (DL) methods have been increasingly applied to neuroimaging data to identify patients with psychiatric and neurological disorders.  ...  They report the highest SZ classification accuracy of 99.3% on the COBRE dataset using an Extreme Learning Machine (ELM) on a multimodal input of structural MRI and rs-fMRI 41 .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2020.06.12.20129130">doi:10.1101/2020.06.12.20129130</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4uppkakshnedhgdvdxipzepbbq">fatcat:4uppkakshnedhgdvdxipzepbbq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200709013351/https://www.medrxiv.org/content/medrxiv/early/2020/06/14/2020.06.12.20129130.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2020.06.12.20129130"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> medrxiv.org </button> </a>

Reproducible grey matter patterns index a multivariate, global alteration of brain structure in schizophrenia and bipolar disorder

Emanuel Schwarz, Nhat Trung Doan, Giulio Pergola, Lars T Westlye, Tobias Kaufmann, Thomas Wolfers, Ralph Brecheisen, Tiziana Quarto, Alex J Ing, Pasquale Di Carlo, Tiril P Gurholt, Robbert L Harms (+26 others)
<span title="2019-01-17">2019</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/eramt72k3vanfg544z3nw4zrsu" style="color: black;">Translational Psychiatry</a> </i> &nbsp;
Here, we performed a multi-site machine learning analysis to explore brain structural patterns of T1 MRI data in 2668 individuals with schizophrenia, bipolar disorder or attention-deficit/ hyperactivity  ...  This multi-site machine learning study identified a brain-structural signature that could reproducibly differentiate schizophrenia patients from controls, but lacked specificity against bipolar disorder  ...  Acknowledgements We thank all the patients and healthy volunteers for their willingness to participate in the study. We also wish to express our appreciation to the KaSP research nurses.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41398-018-0225-4">doi:10.1038/s41398-018-0225-4</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/30664633">pmid:30664633</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6341112/">pmcid:PMC6341112</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/iqdelwognvhbvfol4ixjhgjgcq">fatcat:iqdelwognvhbvfol4ixjhgjgcq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190426084015/http://orca.cf.ac.uk/119265/1/s41398-018-0225-4.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bf/52/bf529f0e07609b53b1e5a5988d2343de5e456845.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41398-018-0225-4"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6341112" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Distinct multivariate brain morphological patterns and their added predictive value with cognitive and polygenic risk scores in mental disorders

Nhat Trung Doan, Tobias Kaufmann, Francesco Bettella, Kjetil Nordbø Jørgensen, Christine Lycke Brandt, Torgeir Moberget, Dag Alnæs, Gwenaëlle Douaud, Eugene Duff, Srdjan Djurovic, Ingrid Melle, Torill Ueland (+3 others)
<span title="">2017</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/47gmsc3hojdm5kdlgbg4peyvyi" style="color: black;">NeuroImage: Clinical</a> </i> &nbsp;
in classification of patients, and demonstrate the importance of multivariate approaches in studying the pathophysiological substrate of these complex disorders.  ...  A B S T R A C T The brain underpinnings of schizophrenia and bipolar disorders are multidimensional, reflecting complex pathological processes and causal pathways, requiring multivariate techniques to  ...  Acknowledgements The authors would like to thank the participants of the study for their contribution, and the clinicians who were involved in patient recruitment and clinical assessments.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.nicl.2017.06.014">doi:10.1016/j.nicl.2017.06.014</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/28702349">pmid:28702349</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5491456/">pmcid:PMC5491456</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fgwezhnfzzesbpov4yxwn56kna">fatcat:fgwezhnfzzesbpov4yxwn56kna</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200208113704/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC5491456&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/19/9e/199e3534ec1355d41a4c8712f22d9ec66d8c3308.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.nicl.2017.06.014"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5491456" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Development of an Al-Based Web Diagnostic System for Phenotyping Psychiatric Disorders

Yu-Wei Chang, Shih-Jen Tsai, Yung-Fu Wu, Albert C. Yang
<span title="2020-11-05">2020</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7qi7czvcwfgankg6qiypfrijvm" style="color: black;">Frontiers in Psychiatry</a> </i> &nbsp;
Moreover, our system visualized the identified voxels in brain atrophy in a 3D manner with patients' structural image, optimizing the evaluation process of the diagnostic results.  ...  Feature selection and network model building were performed on the dataset obtained from two hundred schizophrenic patients and healthy controls in the Taiwan Aging and Mental Illness (TAMI) cohort.  ...  In line with the thought, we applied an EDNN model to visualize the brain structural deficits and to distinguish patients with schizophrenia from healthy controls in two large independent samples using  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fpsyt.2020.542394">doi:10.3389/fpsyt.2020.542394</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33250789">pmid:33250789</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7674487/">pmcid:PMC7674487</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6gryo4v6lnbpvko3kugjohczea">fatcat:6gryo4v6lnbpvko3kugjohczea</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201108221939/https://fjfsdata01prod.blob.core.windows.net/articles/files/542394/pubmed-zip/.versions/1/.package-entries/fpsyt-11-542394/fpsyt-11-542394.pdf?sv=2018-03-28&amp;sr=b&amp;sig=7sD6jgyGRZw1GAQ0aQ%2FPFNiQJq3SphCAXexIvjCqyzk%3D&amp;se=2020-11-08T22%3A20%3A09Z&amp;sp=r&amp;rscd=attachment%3B%20filename%2A%3DUTF-8%27%27fpsyt-11-542394.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/56/77/5677568bf1ae6a2150a0cc6bb02e06917a717a70.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fpsyt.2020.542394"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674487" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Forty years of structural imaging in psychosis: promises and truth

P. Fusar-Poli, A. Meyer-Lindenberg
<span title="2016-07-12">2016</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yqfo4bjnbbf2vnssiklty5qvk4" style="color: black;">Acta Psychiatrica Scandinavica</a> </i> &nbsp;
191 words Text: 4792 words ABSTRACT Objective Since the first study published in the Lancet in 1976, structural neuroimaging has been used in psychosis with the promise of imminent clinical utility.  ...  Method We present here a critical review of studies involving structural magnetic resonance imaging techniques in psychotic patients published between the 1976-2015 in selected journals of relevance for  ...  Two recent studies adopted machine learning methods in patients with early psychosis or at clinical high risk for psychosis (57, 58) .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1111/acps.12619">doi:10.1111/acps.12619</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27404479">pmid:27404479</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/smksnfoorzbvrmrnmaozfnlqpa">fatcat:smksnfoorzbvrmrnmaozfnlqpa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200310044405/https://kclpure.kcl.ac.uk/ws/files/53649630/40_YEARS_OF_STRUCTURAL_IMAGING_IN_PSYCHOSIS_May29_R_1_.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0f/53/0f53de195a1e503fd78a3f48765c09a67c35ea04.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1111/acps.12619"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Individualized differential diagnosis of schizophrenia and mood disorders using neuroanatomical biomarkers

Nikolaos Koutsouleris, Eva M. Meisenzahl, Stefan Borgwardt, Anita Riecher-Rössler, Thomas Frodl, Joseph Kambeitz, Yanis Köhler, Peter Falkai, Hans-Jürgen Möller, Maximilian Reiser, Christos Davatzikos
<span title="2015-05-01">2015</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3yly6om4ynhcta4fdjenhrdk5y" style="color: black;">Brain</a> </i> &nbsp;
The current study used structural MRI-based multivariate pattern classification to (i) identify and cross-validate a differential diagnostic signature separating patients with first-episode and recurrent  ...  This diagnostic magnetic resonance imaging signature was then evaluated in an independent patient cohort from two different centres to test its generalizability to individuals with bipolar disorder (n  ...  Second, the high rate of major depression classifications in our bipolar disorder sample suggests that bipolar disorder and unipolar depression share a common structural denominator different from schizophrenia  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/brain/awv111">doi:10.1093/brain/awv111</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/25935725">pmid:25935725</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4572486/">pmcid:PMC4572486</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/52gzshksf5fmnptnybn7aci5qu">fatcat:52gzshksf5fmnptnybn7aci5qu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190426070718/http://doc.rero.ch/record/294698/files/awv111.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/78/6b/786b64a50cd98f269d60f19fdc562ccdeb664499.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/brain/awv111"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> oup.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4572486" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Prediction of lithium response in first-episode mania using the LITHium Intelligent Agent (LITHIA): Pilot data and proof-of-concept

David E Fleck, Nicholas Ernest, Caleb M Adler, Kelly Cohen, James C Eliassen, Matthew Norris, Richard A Komoroski, Wen-Jang Chu, Jeffrey A Welge, Thomas J Blom, Melissa P DelBello, Stephen M Strakowski
<span title="">2017</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/d33e6mxfdnbnlipyxryrhqt4ku" style="color: black;">Bipolar Disorders</a> </i> &nbsp;
Methods-We identified 20 subjects with first-episode bipolar mania who received an adequate trial of lithium over eight weeks and both fMRI and 1 H-MRS scans at baseline pre-treatment.  ...  Over a different randomly selected distribution of the sample, we then compared LITHIA to eight common classification methods.  ...  Acknowledgments This study was funded by an NIMH CIDAR award P50 MH077138 (Strakowski).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1111/bdi.12507">doi:10.1111/bdi.12507</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/28574156">pmid:28574156</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5517343/">pmcid:PMC5517343</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mthgpnlct5ht3d5fbocubjluge">fatcat:mthgpnlct5ht3d5fbocubjluge</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200210121613/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC5517343&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b4/09/b409d035562374a5776ae935f4c6cd1b3360d669.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1111/bdi.12507"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5517343" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Identification of bipolar disorder using a combination of multimodality magnetic resonance imaging and machine learning techniques

Hao Li, Liqian Cui, Liping Cao, Yizhi Zhang, Yueheng Liu, Wenhao Deng, Wenjin Zhou
<span title="2020-10-06">2020</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bxgog22cfjhmzpzfdp5bafzzf4" style="color: black;">BMC Psychiatry</a> </i> &nbsp;
Methods In total, 44 patients with BPD and 36 healthy controls were enrolled in the study. Clinical evaluation and MRI scans were performed for each subject.  ...  Conclusions A combination of structural and functional MRI can be of added value in the construction of SVM classifiers to aid in the accurate identification of BPD in the clinic.  ...  Results Demographic and clinical information of subjects In this study, 44 patients diagnosed with BPD and ageand sex-matched 36 healthy controls were recruited.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12888-020-02886-5">doi:10.1186/s12888-020-02886-5</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33023515">pmid:33023515</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/65c7uupucbe5vprk7dejwiqhte">fatcat:65c7uupucbe5vprk7dejwiqhte</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201010113332/https://bmcpsychiatry.biomedcentral.com/track/pdf/10.1186/s12888-020-02886-5" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/eb/f6/ebf6d9e3ceea645596e9afd1281a1d314f8089c7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12888-020-02886-5"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a>

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
<span title="2021-02-25">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/abr6zdbfebblxlzh436eqtiagi" style="color: black;">Diagnostics</a> </i> &nbsp;
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).  ...  We discussed how balancing the dataset and not using external validation could hinder the generalization of the CAD methods. We provided the list of the critical issues to consider in such studies.  ...  A significant decrease in the level of the subject's cognitive performance; for example, in learning and memory functions, followed by interference with independent daily activities, is a sign of dementia  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/diagnostics11030393">doi:10.3390/diagnostics11030393</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33669114">pmid:33669114</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7996506/">pmcid:PMC7996506</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zynohu6szjc2rd4kwnd4jc4nje">fatcat:zynohu6szjc2rd4kwnd4jc4nje</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210427171802/https://res.mdpi.com/d_attachment/diagnostics/diagnostics-11-00393/article_deploy/diagnostics-11-00393-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/07/f3/07f3e93f675fccb92059934ddcb20cb99cb4a339.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/diagnostics11030393"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7996506" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Artificial intelligence applications in psychoradiology

Fei Li, Huaiqiang Sun, Bharat B Biswal, John A Sweeney, Qiyong Gong
<span title="">2021</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fm5mrrfeqfcdlfw7yypmrg7pfq" style="color: black;">Psychoradiology</a> </i> &nbsp;
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  ...  Using databases collected from large samples at multiple centers, sophisticated artificial intelligence (AI) algorithms may be used to develop clinically useful image analysis pipelines that can help physicians  ...  reported herein and for their assistance with manuscript preparation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/psyrad/kkab009">doi:10.1093/psyrad/kkab009</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7z3shbc4vzfg7pwmfyumqsgtia">fatcat:7z3shbc4vzfg7pwmfyumqsgtia</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210712212242/https://watermark.silverchair.com/kkab009.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAAsMwggK_BgkqhkiG9w0BBwagggKwMIICrAIBADCCAqUGCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQMU8TFuN5VeVKrBgO9AgEQgIICdgjd2qvF91-sH56Wn6BMHllxfmdqBXcrzfZzKHUl0-3AzRG7EAPDI_qRpeSmLufWpWpz6tnd01EIz5dR4oRGDb0CyFxGKBgsQquBJMFkYErXjPktxfb1StHBObiqX7EPCvKbU59v2dmZ_poKhWQTG0ods3x_cMVhjt6pxQoRz37e4zZqqtKrBZDYBUr5uqm_mKq400DXJ_5SY0kMLh0WAR3-CXj2Yj4Fz_V_Qbq6vpwJeJvus00pl86H0j6l5NTj1M58NPfJ0A1UBrV1-wuODRK-kAVFzFS1Z8lWPdiLS6KzadPvSQP8Cmpfmv3KmvUfbmv_c-YZQg-uKPmYvY_njQqXkKXf6BYPqpDpdKzs7g7nshjp4x1n7_T6GegYaECLodNNya8n1RiyaNq52dRKXDuniR2I4PmSTNJriwfHmzvInYgr7AlRfN4Zg2fl0vOmD6tEar3AStJPkuKcjsPg_c_BMDGhvkXPkGlpy53fmqAYqxEs132iFIQiu5Gf2COJmnMGoawWY6rqnp6I-MnVdOJ-A5Vv2ub_VtO4Dq6vmPirFO4xBnH6AiiIDypuMZVFO8-w4JQfHU76X96aPGYCFVtRt4Fq0wf_-6QCqDr20sSdxWrM6MWeANva8x48Pn_eOVG80cObVQsaJ81IxBhFo1P3PKRszTMDpA65_KP7IAS8-aWCoNYxuXNyJWl8SOdsfJWKrFP6m8QUBWQIkS-X1WNzasLKJGW6fZVjjC5qr5dtuRU32ZNFWVQO5lu3UeRapcdj9PDVvdd-19ftLFDrXFHGxF-LcCrwr2kplte-bBbLQxMxL9lCYlbSCVlbUoKDqyY3Bgmz8w" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2c/5a/2c5a0636c5980748a297d6e2d861c6ec17188fac.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/psyrad/kkab009"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> oup.com </button> </a>

Voxel-based morphometry for separation of schizophrenia from other types of psychosis in first episode psychosis

Lena Palaniyappan, Nicola Maayan, Hanna Bergman, Clare Davenport, Clive E Adams, Karla Soares-Weiser
<span title="2015-08-07">2015</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mqzo3ejavvhingtyd7pphqploy" style="color: black;">The Cochrane library</a> </i> &nbsp;
In this study they used scans from a discovery sample of participants with schizophrenia and bipolar disorder to train support vector machine to build models to separate patients with schizophrenia from  ...  in a chronically ill sample of patients.  ...  Use of covariates in the General Linear Model: age, gender and intracranial volume Target condition and reference standard(s) Flow and timing Study process: 118 patients with a first episode psychosis  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/14651858.cd011021.pub2">doi:10.1002/14651858.cd011021.pub2</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26252640">pmid:26252640</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wwjkih3jcvdc7cwqgds633nwky">fatcat:wwjkih3jcvdc7cwqgds633nwky</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200310123117/http://pure-oai.bham.ac.uk/ws/files/53694467/Palaniyappan_et_al_2015_Cochrane_Database_of_Systematic_Reviews.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d9/82/d982c1337c67be1361ddffdc724d9e2303fa54eb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/14651858.cd011021.pub2"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> wiley.com </button> </a>
&laquo; Previous Showing results 1 &mdash; 15 out of 358 results