Table 1 Original research reporting applications of explainable AI in mental health.

Citation	Application	Methods	XAI methods	Define	Evaluate	Defers to method
Neuroimaging/EEG
Chang et al., 2020⁴⁶	P, D	DL	FI	No	No	Yes
Supekar et al., 2022a¹⁷	P, D	DL	FI	No	Partial	Yes
Supekar et al., 2022b¹⁸	P, D	DL	FI	No	Partial	Yes
Kalmady et al., 2021¹⁵	P, D	DL, ER	Des, FI	Yes	No	Yes
Bučková et al., 2020¹⁶	P	R	Des	Partial	No	Yes
Ben-Zion et al., 2022⁴⁷	D	R	FI	No	No	Yes
Al Zoubi et al., 2021¹⁹	P	DL, R, SVM, RF, NB, XG	FI	No	Partial	Yes
Smucny et al., 2021⁴⁸	P	DL, MLP, SVM, RF, NB, K*, DT, AB	FI	No	No	Yes
Survey
Mishra et al., 2021⁴⁹	P, D	DT	FI, CI	Yes	Yes	No
Ammar et al., 2020²⁹	DM	KG	Pr	Yes	Yes	No
Schaik et al., 2019⁵⁰	P, D	R, DR	Des	Partial	No	No
Jha et al., 2021³¹	P, D	R, SVM, RF, NB, BN	Des, Pr	No	Yes	Yes
Byeon, 2021²⁰	P, D	SVM, RF, XG, AB, LGB	Pr, FI	Partial	Yes	Yes
Ntakolia et al., 2022⁴³	P	R, SVM, RF, XG, kNN, DT, MLP	FI	No	Yes	No
Physiological
Jaber et al., 2022³⁰	P	RF	Pr, FI	Yes	Yes	No

Application: P prediction, D discovery, DM decision making; Methods: DL deep learning, ER ensemble of regressions, R regression, SVM support vector machine, RF random forest, NB Naive Bayes, XG XGBoost, MLP multilayer perceptron, K* K-star instance-based classifier, DT decision trees, AB AdaBoost, KG knowledge graph, LGB light gradient boost, kNN k-nearest neighbour; XAI Methods: FI feature importance, Des by design, CI causal inference, Pr presentation.

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