Detalhe da pesquisa
1.
Daily distracted consumption patterns and their relationship with BMI.
Appetite
; 176: 106136, 2022 09 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-35697153
2.
A three-wave longitudinal study of subcortical-cortical resting-state connectivity in adolescence: Testing age- and puberty-related changes.
Hum Brain Mapp
; 40(13): 3769-3783, 2019 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-31099959
3.
Detection of mild cognitive impairment in a community-dwelling population using quantitative, multiparametric MRI-based classification.
Hum Brain Mapp
; 40(9): 2711-2722, 2019 06 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-30803110
4.
A multimodal MRI-based classification signature emerges just prior to symptom onset in frontotemporal dementia mutation carriers.
J Neurol Neurosurg Psychiatry
; 90(11): 1207-1214, 2019 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-31203211
5.
A comprehensive analysis of resting state fMRI measures to classify individual patients with Alzheimer's disease.
Neuroimage
; 167: 62-72, 2018 02 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-29155080
6.
Combining multiple anatomical MRI measures improves Alzheimer's disease classification.
Hum Brain Mapp
; 37(5): 1920-9, 2016 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-26915458
7.
Clusterwise Independent Component Analysis (C-ICA): Using fMRI resting state networks to cluster subjects and find neurofunctional subtypes.
J Neurosci Methods
; 382: 109718, 2022 12 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-36209940
8.
Analyzing Hierarchical Multi-View MRI Data With StaPLR: An Application to Alzheimer's Disease Classification.
Front Neurosci
; 16: 830630, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35546881
9.
Classification using fractional anisotropy predicts conversion in genetic frontotemporal dementia, a proof of concept.
Brain Commun
; 2(2): fcaa079, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-33543126
10.
Pre-trained MRI-based Alzheimer's disease classification models to classify memory clinic patients.
Neuroimage Clin
; 27: 102303, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-32554321
11.
Single-subject classification of presymptomatic frontotemporal dementia mutation carriers using multimodal MRI.
Neuroimage Clin
; 22: 101718, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-30827922
12.
Multiple Approaches to Diffusion Magnetic Resonance Imaging in Hereditary Cerebral Amyloid Angiopathy Mutation Carriers.
J Am Heart Assoc
; 8(3): e011288, 2019 02 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-30717612
13.
Single-subject classification of presymptomatic frontotemporal dementia mutation carriers using multimodal MRI.
Neuroimage Clin
; 20: 188-196, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-30094168
14.
Single Subject Classification of Alzheimer's Disease and Behavioral Variant Frontotemporal Dementia Using Anatomical, Diffusion Tensor, and Resting-State Functional Magnetic Resonance Imaging.
J Alzheimers Dis
; 62(4): 1827-1839, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-29614652
15.
Diminished Posterior Precuneus Connectivity with the Default Mode Network Differentiates Normal Aging from Alzheimer's Disease.
Front Aging Neurosci
; 9: 97, 2017.
Artigo
em Inglês
| MEDLINE | ID: mdl-28469571
16.
Combining anatomical, diffusion, and resting state functional magnetic resonance imaging for individual classification of mild and moderate Alzheimer's disease.
Neuroimage Clin
; 11: 46-51, 2016.
Artigo
em Inglês
| MEDLINE | ID: mdl-26909327