The relationship between depressive symptoms and cognitive function in Alzheimer's disease: The mediating effect of amygdala functional connectivity and radiomic features.

[1]  Jianye Zhang,et al.  The effect of hippocampal radiomic features and functional connectivity on the relationship between hippocampal volume and cognitive function in Alzheimer's disease. , 2023, Journal of psychiatric research.

[2]  E. Ciaccio,et al.  Interpretation of radiomics features-A pictorial review , 2021, Comput. Methods Programs Biomed..

[3]  S. Resnick,et al.  Vascular risk is not associated with PET measures of Alzheimer's disease neuropathology among cognitively normal older adults. , 2021, Neuroimage. Reports.

[4]  E. Chang,et al.  Speech Computations of the Human Superior Temporal Gyrus. , 2021, Annual review of psychology.

[5]  Dong Ming,et al.  Discriminating subclinical depression from major depression using multi-scale brain functional features: A radiomics analysis. , 2021, Journal of affective disorders.

[6]  Michelle A. Mathiason,et al.  Longitudinal Cognitive Profiles by Anxiety and Depressive Symptoms in American Older Adults With Subjective Cognitive Decline. , 2021, Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing.

[7]  B. Kolb,et al.  Bilingual experience and intrinsic functional connectivity in adults, aging, and Alzheimer's disease , 2021, Annals of the New York Academy of Sciences.

[8]  D. Margulies,et al.  The default mode network in cognition: a topographical perspective , 2021, Nature Reviews Neuroscience.

[9]  F. G. Coelho,et al.  Physical exercise is effective for neuropsychiatric symptoms in Alzheimer's disease: a systematic review , 2020, Arquivos de Neuro-Psiquiatria.

[10]  K. Langen,et al.  Differential neural structures, intrinsic functional connectivity, and episodic memory in subjective cognitive decline and healthy controls , 2021, Neurobiology of Aging.

[11]  P. Pang,et al.  Comprehensive classification models based on amygdala radiomic features for Alzheimer’s disease and mild cognitive impairment , 2021, Brain Imaging and Behavior.

[12]  Gabi Kastenmüller,et al.  Robust Huber-LASSO for improved prediction of protein, metabolite and gene expression levels relying on individual genotype data , 2020, Briefings Bioinform..

[13]  L. Tan,et al.  Amyloid Pathologies Modulate the Associations of Minimal Depressive Symptoms With Cognitive Impairments in Older Adults Without Dementia , 2020, Biological Psychiatry.

[14]  Z. Yao,et al.  Brain functional abnormalities in the amygdala subregions is associated with anxious depression. , 2020, Journal of affective disorders.

[15]  Robert G. Briggs,et al.  Anatomy and White Matter Connections of the Inferior Temporal Gyrus. , 2020, World neurosurgery.

[16]  Xingguang Luo,et al.  Amplitude of low-frequency fluctuations on Alzheimer’s disease with depression: evidence from resting-state fMRI , 2020, General Psychiatry.

[17]  L. Tan,et al.  Associations of Subsyndromal Symptomatic Depression with Cognitive Decline and Brain Atrophy in Elderly Individuals without Dementia: A Longitudinal Study. , 2020, Journal of affective disorders.

[18]  John L. Robinson,et al.  Contribution of mixed pathology to medial temporal lobe atrophy in Alzheimer's disease , 2020, Alzheimer's & dementia : the journal of the Alzheimer's Association.

[19]  Georg Langs,et al.  Introduction to Radiomics , 2020, The Journal of Nuclear Medicine.

[20]  Yuanjie Zheng,et al.  Independent and reproducible hippocampal radiomic biomarkers for multisite Alzheimer's disease: diagnosis, longitudinal progress and biological basis. , 2019, Science bulletin.

[21]  W. Chen,et al.  Abnormal changes in functional connectivity between the amygdala and frontal regions are associated with depression in Alzheimer’s disease , 2018, Neuroradiology.

[22]  R. Goebel,et al.  Amygdala response and functional connectivity during cognitive emotion regulation of aversive image sequences , 2018, European Archives of Psychiatry and Clinical Neuroscience.

[23]  K. Hugdahl,et al.  Psychopathology Assessment Methods Revisited: On Translational Cross-Validation of Clinical Self-Evaluation Scale and fMRI , 2018, Front. Psychiatry.

[24]  A. Hayes.  Partial, conditional, and moderated moderated mediation: Quantification, inference, and interpretation , 2018 .

[25]  Wei Chen,et al.  Abnormal functional connectivity of the posterior cingulate cortex is associated with depressive symptoms in patients with Alzheimer’s disease , 2017, Neuropsychiatric disease and treatment.

[26]  P. Lambin,et al.  Radiomics: the bridge between medical imaging and personalized medicine , 2017, Nature Reviews Clinical Oncology.

[27]  Bart Larsen,et al.  Development of White Matter Microstructure and Intrinsic Functional Connectivity Between the Amygdala and Ventromedial Prefrontal Cortex: Associations With Anxiety and Depression , 2017, Biological Psychiatry.

[28]  I. El Naqa,et al.  Beyond imaging: The promise of radiomics. , 2017, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

[29]  Chandrasekharan Kesavadas,et al.  Resting state fMRI: A review on methods in resting state connectivity analysis and resting state networks , 2017, The neuroradiology journal.

[30]  Juan Zhou,et al.  Depressive symptoms influence global cognitive impairment indirectly by reducing memory and executive function in patients with mild cognitive impairment , 2016, Journal of Neurology, Neurosurgery & Psychiatry.

[31]  Yufeng Zang,et al.  DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging , 2016, Neuroinformatics.

[32]  Kristine Yaffe,et al.  Trajectories of Depressive Symptoms in Older Adults and Risk of Dementia. , 2016, JAMA psychiatry.

[33]  Lauge Sørensen,et al.  Early detection of Alzheimer's disease using MRI hippocampal texture , 2016, Human brain mapping.

[34]  Paul Kinahan,et al.  Radiomics: Images Are More than Pictures, They Are Data , 2015, Radiology.

[35]  C. Beckmann,et al.  Resting-state functional connectivity in major depressive disorder: A review , 2015, Neuroscience & Biobehavioral Reviews.

[36]  Divya Tomar,et al.  Twin Support Vector Machine: A review from 2007 to 2014 , 2015 .

[37]  A. Jacobs,et al.  How music alters a kiss: superior temporal gyrus controls fusiform-amygdalar effective connectivity. , 2014, Social cognitive and affective neuroscience.

[38]  D. Sharp,et al.  The role of the posterior cingulate cortex in cognition and disease. , 2014, Brain : a journal of neurology.

[39]  Wenhao Jiang,et al.  Abnormal Functional Connectivity of Amygdala in Late-Onset Depression Was Associated with Cognitive Deficits , 2013, PloS one.

[40]  Yong Liu,et al.  Decreased functional connectivity of the amygdala in Alzheimer's disease revealed by resting-state fMRI. , 2013, European journal of radiology.

[41]  A. Hayes.  Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach , 2013 .

[42]  Xi-Nian Zuo,et al.  REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing , 2011, PloS one.

[43]  J. Morris,et al.  The diagnosis of dementia due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer's disease , 2011, Alzheimer's & Dementia.

[44]  Chaogan Yan,et al.  DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI , 2010, Front. Syst. Neurosci..

[45]  S. Engelborghs,et al.  Is the geriatric depression scale a reliable screening tool for depressive symptoms in elderly patients with cognitive impairment? , 2009, International journal of geriatric psychiatry.

[46]  A. Mitchell,et al.  A meta-analysis of the accuracy of the mini-mental state examination in the detection of dementia and mild cognitive impairment. , 2009, Journal of psychiatric research.

[47]  S. Resnick,et al.  Differential association of concurrent, baseline, and average depressive symptoms with cognitive decline in older adults. , 2008, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

[48]  V. Calhoun,et al.  Aberrant "default mode" functional connectivity in schizophrenia. , 2007, The American journal of psychiatry.

[49]  Hiroko H Dodge,et al.  Depressive symptoms and cognitive decline in late life: a prospective epidemiological study. , 2006, Archives of general psychiatry.

[50]  E. Phelps.  Emotion and cognition: insights from studies of the human amygdala. , 2006, Annual review of psychology.

[51]  B. Winblad,et al.  Alzheimer's Disease and Depression: Preclinical Comorbidity Effects on Cognitive Functioning , 2005, Cortex.

[52]  D. Bennett,et al.  Depressive symptoms, clinical AD, and cortical plaques and tangles in older persons , 2003, Neurology.

[53]  B. Lebowitz,et al.  Provisional diagnostic criteria for depression of Alzheimer’s disease: description and review , 2003, Expert review of neurotherapeutics.

[54]  N. Tzourio-Mazoyer,et al.  Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain , 2002, NeuroImage.