Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes.
Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes.
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DOI：
10.1007/978-3-030-61056-2_8
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发表时间：
2020-10
期刊：
影响因子：
--
通讯作者：
Alzheimers Disease Neuroimaging Initiative
中科院分区：
文献类型：
--
作者：
Azcona E;Besson P;Wu Y;Punjabi A;Martersteck A;Dravid A;Parrish TB;Bandt SK;Katsaggelos AK;Alzheimers Disease Neuroimaging Initiative
We propose a mesh-based technique to aid in the classification of Alzheimer’s disease dementia (ADD) using mesh representations of the cortex and subcortical structures. Deep learning methods for classification tasks that utilize structural neuroimaging often require extensive learning parameters to optimize. Frequently, these approaches for automated medical diagnosis also lack visual interpretability for areas in the brain involved in making a diagnosis. This work: (a) analyzes brain shape using surface information of the cortex and subcortical structures, (b) proposes a residual learning framework for state-of-the-art graph convolutional networks which offer a significant reduction in learnable parameters, and (c) offers visual interpretability of the network via class-specific gradient information that localizes important regions of interest in our inputs. With our proposed method leveraging the use of cortical and subcortical surface information, we outperform other machine learning methods with a 96.35% testing accuracy for the ADD vs. healthy control problem. We confirm the validity of our model by observing its performance in a 25-trial Monte Carlo cross-validation. The generated visualization maps in our study show correspondences with current knowledge regarding the structural localization of pathological changes in the brain associated to dementia of the Alzheimer’s type.
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影响因子：
3.7
作者：
Dickerson, Bradford C.;Bakkour, Akram;Salat, David H.;Feczko, Eric;Pacheco, Jenni;Greve, Douglas N.;Grodstein, Fran;Wright, Christopher I.;Blacker, Deborah;Rosas, H. Diana;Sperling, Reisa A.;Atri, Alireza;Growdon, John H.;Hyman, Bradley T.;Morris, John C.;Fischl, Bruce;Buckner, Randy L.
通讯作者：
Buckner, Randy L.
DOI：
10.1016/j.jalz.2011.03.005
发表时间：
2011-05
期刊：
Alzheimer's & dementia : the journal of the Alzheimer's Association
影响因子：
--
作者：
McKhann GM;Knopman DS;Chertkow H;Hyman BT;Jack CR Jr;Kawas CH;Klunk WE;Koroshetz WJ;Manly JJ;Mayeux R;Mohs RC;Morris JC;Rossor MN;Scheltens P;Carrillo MC;Thies B;Weintraub S;Phelps CH
通讯作者：
Phelps CH
影响因子：
4.8
作者：
Kälin AM;Park MT;Chakravarty MM;Lerch JP;Michels L;Schroeder C;Broicher SD;Kollias S;Nitsch RM;Gietl AF;Unschuld PG;Hock C;Leh SE
通讯作者：
Leh SE
影响因子：
14
作者：
Brookmeyer, Ron;Johnson, Elizabeth;Arrighi, H. Michael
通讯作者：
Arrighi, H. Michael
影响因子：
4
作者：
Derflinger, Sabine;Sorg, Christian;Muehlau, Mark
通讯作者：
Muehlau, Mark