Search · four archives
Search · four archives
21 papers · ranked by Valyu relevance
Sanjay Ghosh, Eshan Bhargava, Chieh-Te Lin, Srikantan S. Nagarajan
The long term goal of this work is to develop powerful tools for brain network analysis in order to study structural and functional connectivity abnormalities in psychiatric disorders like schizophrenia. Graph convolutional neural networks (GCNN) are quite effective for learning complex discriminate features in…
Nazila Ahmadi Daryakenari, Seyed Kamaleddin Setaredan
Schizophrenia (SZ) is a chronic and complex mental disorder associated with neurobiological deficits. The complexity and heterogeneity of schizophrenia symptoms pose challenges for objective diagnosis, which is currently based on behavioral and clinical manifestations. Furthermore, other psychiatric disorders such as…
Eugenio Cavalli, Giuseppe Rosario Pietro Nicoletti, Ferdinando Nicoletti, Alfredo Bellon
Highlights What are the main findings?1. The concept of schizophrenia has evolved through successive historical paradigms, from descriptive psychopathology to operational, biological, and computational models, each contributing to increased diagnostic reliability while also increasing clinical heterogeneity. 2. Despite…
Graham W Mellsop, David B Menkes, Selim M El-Badri
Background In the context of ongoing work to develop the next iteration of psychiatric classification systems, we briefly review the performance of current systems against their own stated objectives, for two major diagnostic groupings. Discussion In the major groupings of schizophrenia and depression, experience over…
B Gagana
Schizophrenia is a heterogeneous cognitive disorder where clinical classification is challenging because of the lack of well-established, non-invasive diagnoses biomarkers. There is, hence, a need for objective systems that can classify Schizophrenia despite challenges such as overlapping symptomatic factors, diverse…
Junhao Zhang, Vishwanatha M. Rao, Ye Tian, Yanting Yang + 7 more
'Nicolas Acosta' 'Zihan Wan' 'Pin-Yu Lee' 'Chloe Zhang' 'Lawrence S. Kegeles' 'Scott A. Small' 'Jia Guo'] Schizophrenia is a chronic neuropsychiatric disorder that causes distinct structural alterations within the brain. We hypothesize that deep learning applied to a structural neuroimaging dataset could detect…
David Tomeček, Dominik Klepl, Zbyněk Pitra, Jiří Horáček + 3 more
While schizophrenia diagnosis relies on clinical interviews, there is growing interest in neuroimaging-based computational tools to aid classification. In particular, resting-state fMRI-derived functional connectivity has been explored as a potential biomarker, with applications not only in supporting clinical…
N. V. K. Ramesh, Yasmin Ghodsi, Hamidreza Bolhasani
— Machine learning is employed in healthcare to draw approximate conclusions regarding human diseases and mental health problems. Compared to older traditional methods, it can help to analyze data more efficiently and produce better and more dependable results. Millions of people are affected by schizophrenia, which is…
Xinru Wei, Shuai Dong, Zhao Su, Lili Tang + 6 more
'Chunyu Pan' 'Fei Wang' 'Yanqing Tang' 'Weixiong Zhang' 'Xizhe Zhang'] - 1. Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China; - 2. School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu…
V. Chatzi, R.P. Teixeira, J. Shawe-Taylor, A. Altmann + 4 more
State-of-the-art approaches in Schizophrenia research investigate neuroanatomical biomarkers using structural Magnetic Resonance Imaging. However, current models are 1) voxel-wise, 2) difficult to interpret in biologically meaningful ways, and 3) difficult to replicate across studies. Here, we propose a machine…
Md. Taksimul Ahsan Tawhid, Nasif Ahmed Rafe, Alif Tahmid Priyom, K. M. Mustafizur Rahman
Schizophrenia is a debilitating neuropsychiatric disorder characterized by profound cortical network dysregulation, for which objective, clinically translatable EEG based biomarkers remain underdeveloped. Existing automated classification pipelines rely predominantly on static power spectral density features inherently…
Ricardo Abreu Feijo de Mello, Ary Gadelha, Larissa Leal Freitas, Vitoria Fernandes Sant’Ana + 1 more
'Vitoria Fernandes Sant’Ana' 'Marcelo Feijó Mello'] Title: ABSTRACT Schizophrenia diagnostics have evolved to adapt to clinical needs and scientific advances, and the current denominations emerged at the beginning of the twentieth century. Most problems arise while integrating clinical experiences, based on historical…
Alexandre Andrade Loch
Current diagnostic criteria delineate schizophrenia as a discrete entity essentially defined by positive symptoms. However, the role of positive symptoms in psychiatry is being questioned. There is compelling evidence that psychotic manifestations are expressed in the population in a continuum of varying degrees of…
Niki Maria Foteinopoulou, Ioannis Patras
—Schizophrenia is a severe yet treatable mental disorder, whose definition has evolved significantly since its inception in the early 20th century. Initially conceived as a broad term encompassing various serious mental health conditions, it is being diagnosed using a multitude of primary and secondary symptoms.…
Robert A. McCutcheon, Paul J. Harrison, Oliver D. Howes, Philip K. McGuire + 2 more
There are over 25 licensed antipsychotic medications with diverse pharmacological and clinical profiles. Antipsychotics are commonly described as either ‘typical’ or ‘atypical’, but this does not accurately reflect pharmacological profiles. There is thus a need for a data driven antipsychotic classification scheme…
P. K. Dalal, T. Sivakumar
A classification is as good as its theory. As the etiology of psychiatric disorders is still not clearly known, we still define them categorically by their clinical syndrome. There are doubts if they are valid discrete disease entities and if dimensional models are better to study them. We have come a long way till…
Thomas V. Wiecki
Current psychiatric research is in crisis. In this review I will describe the causes of this crisis and highlight recent efforts to overcome current challenges. One particularly promising approach is the emerging field of computational psychiatry. By using methods and insights from computational cognitive neuroscience…
Wulf Rössler
Currently, categorical classification systems constitute agreed-upon definitions for pragmatically assigning mental illnesses. Most mental states are generally thought of as dichotomous entities that can be identified by applying certain operationalized criteria. In a clinical mental health setting one is naturally…
Heinz Katschnig
The public stereotype of schizophrenia is characterized by craziness, a split personality, unpredictable and dangerous behaviour, and by the idea of a chronic brain disease. It is responsible for delays in help-seeking, encourages social distance and discrimination, and furthers self-stigmatization. This paper…
Lara Rzesnitzek
The English term “early psychosis” was coined in the 1930s to refer to feelings of irritability, loss of concentration, hypochondriac ideas, moodiness, and lassitude that were seen to precede the onset of clear-cut hallucinations and delusions. The history of thinking about “early psychosis” under names such as…
Haifeng Tang, Kristian Jensen, Evelyne Houang, Fiona McRobb + 31 more
D-Serine is a co-agonist of the N-methyl D-aspartate (NMDA) receptor, a key excitatory neurotransmitter receptor. In the brain, D-Serine is synthesized from its L-isomer by serine racemase and is metabolized by the D-amino acid oxidase (DAO, DAAO), a flavoenzyme that catalyzes the oxidative degradation of D-amino acids…