{"doi":"10.31083/j.jin2103083","title":"Scalp Stimulation Targets for Neurological Conditions—Evidence from Large-Scale Meta-Analyses","abstract":"BACKGROUND: Neurological disorders are a major source of suffering for patients worldwide. Scalp stimulation methods have been widely applied in treating a number of neurological disorders. Recently, our understanding of pathological mechanisms associated with neurological disorders has been enhanced significantly. Nevertheless, these findings have yet to be well-integrated into scalp stimulation treatments for neurological disorders. METHODS: In a previous study, we proposed new brain targets for scalp stimulation in the treatment of eight common mental disorders based on the results of a large-scale meta-analyses using Neurosynth. This study aims to extend our previous findings in identifying surface brain targets for seven common neurological disorders: Alzheimer's disease, aphasia, chronic pain, dementia, dyslexia, mild cognitive impairment, and Parkinson's disease, utilizing a similar method. RESULTS: We hidentified seven to eight potential scalp stimulation targets for each disorder and used both 10-20 EEG system and acupuncture points to locate these targets to facilitate its clinical application. CONCLUSIONS: The proposed target protocols may facilitate and extend clinical applications of scalp stimulation methods such as transcranial electrical stimulation and scalp acupuncture in the treatment of neurological disorders.","journal":"Journal of Integrative Neuroscience","year":2022,"id":292483,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9544,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":699652,"name":"Thalia Celeste Chai‐Zhang","orcid":"0000-0003-2372-0193","position":1,"is_corresponding":false},{"id":977031,"name":"Caroline Meritt McDonald","orcid":null,"position":2,"is_corresponding":false},{"id":836033,"name":"Jian Kong","orcid":"0000-0002-2872-2078","position":3,"is_corresponding":false},{"id":976583,"name":"Jin Cao","orcid":"0009-0002-7179-5480","position":0,"is_corresponding":true}],"reference_count":89,"raw_metadata":null,"created_at":"2026-07-19T00:30:46.209549Z","pmid":"35633164","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}