Research graph
References from A confounder controlled machine learning approach: Group analysis and classification of schizophrenia and Alzheimer’s disease using resting-state functional network connectivity. Local targets link to admitted publications; unresolved targets remain external evidence.
Diagnosis of Alzheimer’s disease
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Unresolved reference
External reference
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Very late-onset schizophrenia-like psychosis: positive findings but questions remain unanswered
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Schizophrenia and risk of dementia: a meta-analysis study
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Long-term risk of dementia in persons with schizophrenia: a Danish population-based cohort study
10.1001/jamapsychiatry.2015.1546 · 2015 · External reference
Age-specific prevalence and incidence of dementia diagnoses among older US adults with schizophrenia
10.1001/jamapsychiatry.2021.0042 · 2021 · External reference
Alzheimer disease and related neurodegenerative diseases in elderly patients with schizophrenia: a postmortem neuropathologic study of 100 cases
10.1001/archpsyc.55.3.205 · 1998 · External reference
A white matter connection of schizophrenia and Alzheimer’s disease
10.1093/schbul/sbaa078 · 2021 · External reference
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Management of dementia-related psychosis, agitation and aggression: A review of the pharmacology and clinical effects of potential drug candidates
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Unresolved reference
2019 · External reference
A survey on deep learning for neuroimaging-based brain disorder analysis
10.3389/fnins.2020.00779 · 2020 · External reference
Resting-state functional magnetic resonance imaging: review of neurosurgical applications
10.1227/neu.0000000000000307 · 2014 · External reference
A method for functional network connectivity among spatially independent resting-state components in schizophrenia
10.1016/j.neuroimage.2007.11.001 · 2008 · External reference
A method for making group inferences from functional MRI data using independent component analysis
10.1002/hbm.1048 · 2001 · External reference
Clinical phenotypes of psychosis in the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP)
10.1176/appi.ajp.2013.12101339 · 2013 · External reference
NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders
10.1016/j.nicl.2020.102375 · 2020 · External reference
The segregation and integration of distinct brain networks and their relationship to cognition
10.1523/jneurosci.2965-15.2016 · 2016 · External reference
Statistical harmonization corrects site effects in functional connectivity measurements from multi-site fMRI data
10.1002/hbm.24241 · 2018 · External reference
Controlling the false discovery rate: a practical and powerful approach to multiple testing
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10.1109/isbi52829.2022.9761466
10.1109/isbi52829.2022.9761466 · External reference
Age-related changes in the default mode network are more advanced in Alzheimer disease
10.1212/wnl.0b013e318233b33d · 2011 · External reference
Default-mode network activity distinguishes Alzheimer’s disease from healthy aging: evidence from functional MRI
10.1073/pnas.0308627101 · 2004 · External reference
Cerebral blood flow and metabolic abnormalities in Alzheimer’s disease
10.1007/bf02988596 · 2001 · External reference
Cerebral perfusion SPET correlated with Braak pathological stage in Alzheimer’s disease
10.1093/brain/awf185 · 2002 · External reference
Default mode network complexity and cognitive decline in mild Alzheimer’s disease
10.3389/fnins.2018.00770 · 2018 · External reference
Network analysis of intrinsic functional brain connectivity in Alzheimer’s disease
10.1371/journal.pcbi.1000100 · 2008 · External reference
Training confounder-free deep learning models for medical applications
2020 · External reference
Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General Brigham
10.1371/journal.pone.0277572 · 2023 · External reference
