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Integrated PET\u2010MRI provides a unique opportunity for same\u2010session multimodal characterization with many practical benefits to patients, referring physicians, radiologists, and researchers. The impact of integrated PET\u2010MRI on clinical practice for early adopters of this technology can be profound. Classic imaging findings with integrated PET\u2010MRI are illustrated for common neurodegenerative diseases or clinical\u2010radiological syndromes. This review summarizes recent technical innovations that are being introduced into PET\u2010MRI clinical practice and research for neurodegenerative disease. More recent MRI\u2010based attenuation correction now performs similarly compared to PET\u2010CT (e.g., whole\u2010brain bias &lt;\u20090.5%) such that early concerns for accurate PET tracer quantification with integrated PET\u2010MRI appear resolved. Head motion is common in this patient population. MRI\u2010 and PET data\u2010driven motion correction appear ready for routine use and should substantially improve PET\u2010MRI image quality. PET\u2010MRI by definition eliminates ~50% of the radiation from CT. Multiple hardware and software techniques for improving image quality with lower counts are reviewed (including motion correction). These methods can lower radiation to patients (and staff), increase scanner throughput, and generate better temporal resolution for dynamic PET. Deep learning has been broadly applied to PET\u2010MRI. Deep learning analysis of PET and MRI data may provide accurate classification of different stages of Alzheimer's disease or predict progression to dementia. Over the past 5\u2009years, clinical imaging of neurodegenerative disease has changed due to imaging research and the introduction of anti\u2010amyloid immunotherapy\u2014integrated PET\u2010MRI is best suited for imaging these patients and its use appears poised for rapid growth outside academic medical centers.<\/jats:p>\n                  <jats:p>\n                    <jats:bold>Evidence level:<\/jats:bold>\n                    5.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Technical efficacy:<\/jats:bold>\n                    Stage 3.\n                  <\/jats:p>","DOI":"10.1002\/jmri.70046","type":"journal-article","created":{"date-parts":[[2025,7,18]],"date-time":"2025-07-18T13:10:13Z","timestamp":1752844213000},"page":"60-78","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Clinical Translation of Integrated\n                    <scp>PET<\/scp>\n                    \u2010\n                    <scp>MRI<\/scp>\n                    for Neurodegenerative Disease"],"prefix":"10.1002","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0232-1636","authenticated-orcid":false,"given":"Timothy M.","family":"Shepherd","sequence":"first","affiliation":[{"name":"Department of Radiology New York University Grossman School of Medicine  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2386-7849","authenticated-orcid":false,"given":"Siddhant","family":"Dogra","sequence":"additional","affiliation":[{"name":"Department of Radiology New York University Grossman School of Medicine  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,7,18]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.2967\/jnumed.112.105346"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2483071927"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1093\/geroni\/igz043"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1136\/gpsych-2022-100751"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/S2468-2667(21)00249-8"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/alz.13016"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1002\/trc2.12198"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jalz.2017.12.006"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eclinm.2022.101580"},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacr.2020.01.040"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa2212948"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2023.13239"},{"key":"e_1_2_9_14_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2019.2000"},{"key":"e_1_2_9_15_1","unstructured":"Centers for Medicare & Medicaid Services \u201cStatement: Broader Medicare Coverage of Leqembi Available Following FDA Traditional Approval \u201d2023."},{"key":"e_1_2_9_16_1","doi-asserted-by":"publisher","DOI":"10.3174\/ajnr.A8027"},{"key":"e_1_2_9_17_1","doi-asserted-by":"publisher","DOI":"10.1177\/0891988706291089"},{"key":"e_1_2_9_18_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1317918110"},{"key":"e_1_2_9_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(12)70291-0"},{"key":"e_1_2_9_20_1","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0000000000002923"},{"key":"e_1_2_9_21_1","unstructured":"Alzheimer's Association Workgroup \u201cRevised Criteria for Diagnosis and Staging of Alzheimer's Disease \u201d 2023."},{"key":"e_1_2_9_22_1","first-page":"e209295","volume-title":"Lower Accuracy Alzheimer Disease Blood Tests Will Never be \u201cReady for Prime Time\u201d","author":"Buckley R. 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