Cognitive Function based on Theta‐Gamma Coupling vs. Clinical Diagnosis in Older Adults with Mild Cognitive Impairment with or without Major Depressive Disorder Article Swipe
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· 2023
· Open Access
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· DOI: https://doi.org/10.1002/alz.076553
Background Whether individuals with mild cognitive impairment (MCI) and a history of major depressive disorder (MDD) are at a higher risk for cognitive decline than those with MCI alone is still not clear. Previous work suggests that a reduction in prefrontal cortical theta phase‐gamma amplitude coupling (TGC) is an early marker of cognitive impairment. This study aimed to determine whether using a TGC cut‐off is better at separating individuals with MCI or MCI with remitted MDD (MCI+rMDD) on cognitive performance than their clinical diagnosis. Our hypothesis was that global cognition would differ more between TGC‐based groups than diagnostic groups. Method We analyzed data from 128 MCI (mean age: 71.8, SD: 7.3) and 85 MCI+rMDD (mean age: 70.9, SD: 4.7) participants. Participants completed a comprehensive neuropsychological battery; TGC was measured during the N‐back task. An optimal TGC cut‐off was determined during performance of the 2‐back. This TGC cut‐off was used to classify participants into low vs. high TGC groups. We then compared the Cohen’s d of the difference in global cognition between the high and low TGC groups to the Cohen’s d between the MCI and MCI+rMDD groups. We used bootstrapping to determine 95% confidence intervals for Cohen’s d values using the whole sample. Result As hypothesized, Cohen’s d for the difference in global cognition between the TGC groups was larger (0.64 [0.32,0.88]) than between the diagnostic groups (0.10 [0.004,0.37]) with a difference between these two Cohen’s d’ s of 0.54[0.10, 0.80]. Conclusion Our findings suggest that TGC is a useful marker to identify individuals at high risk for cognitive decline, beyond clinical diagnosis. This could be due to TGC being a sensitive marker of prefrontal cortical dysfunction that would lead to an accelerated cognitive decline.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/alz.076553
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/alz.076553
- OA Status
- bronze
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390200909
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4390200909Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/alz.076553Digital Object Identifier
- Title
-
Cognitive Function based on Theta‐Gamma Coupling vs. Clinical Diagnosis in Older Adults with Mild Cognitive Impairment with or without Major Depressive DisorderWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-12-01Full publication date if available
- Authors
-
Heather Brooks, Wei Wang, Reza Zomorrodi, Daniel M. Blumberger, Christopher R. Bowie, Zafiris J. Daskalakis, Corinne E. Fischer, Alastair J. Flint, Nathan Herrmann, Sanjeev Kumar, Krista L. Lanctôt, Linda Mah, Benoit H. Mulsant, Bruce G. Pollock, Aristotle N. Voineskos, Tarek K. RajjiList of authors in order
- Landing page
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https://doi.org/10.1002/alz.076553Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/alz.076553Direct link to full text PDF
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/alz.076553Direct OA link when available
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Cognition, Major depressive disorder, Neuropsychology, Confidence interval, Effects of sleep deprivation on cognitive performance, Medicine, Cognitive impairment, Audiology, Psychology, Psychiatry, Internal medicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Our | 85, 243 |
| abstract_inverted_index.SD: | 110, 118 |
| abstract_inverted_index.TGC | 63, 127, 136, 146, 157, 176, 217, 247, 269 |
| abstract_inverted_index.and | 9, 112, 174, 185 |
| abstract_inverted_index.are | 17 |
| abstract_inverted_index.due | 267 |
| abstract_inverted_index.for | 22, 196, 209, 258 |
| abstract_inverted_index.low | 154, 175 |
| abstract_inverted_index.not | 32 |
| abstract_inverted_index.the | 131, 143, 162, 166, 172, 179, 183, 201, 210, 216, 225 |
| abstract_inverted_index.two | 235 |
| abstract_inverted_index.vs. | 155 |
| abstract_inverted_index.was | 87, 128, 138, 148, 219 |
| abstract_inverted_index.4.7) | 119 |
| abstract_inverted_index.7.3) | 111 |
| abstract_inverted_index.This | 55, 145, 264 |
| abstract_inverted_index.age: | 108, 116 |
| abstract_inverted_index.data | 103 |
| abstract_inverted_index.d’ | 237 |
| abstract_inverted_index.from | 104 |
| abstract_inverted_index.high | 156, 173, 256 |
| abstract_inverted_index.into | 153 |
| abstract_inverted_index.lead | 280 |
| abstract_inverted_index.mild | 5 |
| abstract_inverted_index.more | 93 |
| abstract_inverted_index.risk | 21, 257 |
| abstract_inverted_index.than | 25, 81, 97, 223 |
| abstract_inverted_index.that | 37, 88, 246, 278 |
| abstract_inverted_index.then | 160 |
| abstract_inverted_index.used | 149, 189 |
| abstract_inverted_index.with | 4, 27, 70, 74, 230 |
| abstract_inverted_index.work | 35 |
| abstract_inverted_index.(0.10 | 228 |
| abstract_inverted_index.(0.64 | 221 |
| abstract_inverted_index.(MCI) | 8 |
| abstract_inverted_index.(MDD) | 16 |
| abstract_inverted_index.(TGC) | 47 |
| abstract_inverted_index.(mean | 107, 115 |
| abstract_inverted_index.70.9, | 117 |
| abstract_inverted_index.71.8, | 109 |
| abstract_inverted_index.aimed | 57 |
| abstract_inverted_index.alone | 29 |
| abstract_inverted_index.being | 270 |
| abstract_inverted_index.could | 265 |
| abstract_inverted_index.early | 50 |
| abstract_inverted_index.major | 13 |
| abstract_inverted_index.still | 31 |
| abstract_inverted_index.study | 56 |
| abstract_inverted_index.task. | 133 |
| abstract_inverted_index.their | 82 |
| abstract_inverted_index.these | 234 |
| abstract_inverted_index.theta | 43 |
| abstract_inverted_index.those | 26 |
| abstract_inverted_index.using | 61, 200 |
| abstract_inverted_index.whole | 202 |
| abstract_inverted_index.would | 91, 279 |
| abstract_inverted_index.0.80]. | 241 |
| abstract_inverted_index.Method | 100 |
| abstract_inverted_index.Result | 204 |
| abstract_inverted_index.better | 66 |
| abstract_inverted_index.beyond | 261 |
| abstract_inverted_index.clear. | 33 |
| abstract_inverted_index.differ | 92 |
| abstract_inverted_index.during | 130, 140 |
| abstract_inverted_index.global | 89, 169, 213 |
| abstract_inverted_index.groups | 96, 177, 218, 227 |
| abstract_inverted_index.higher | 20 |
| abstract_inverted_index.larger | 220 |
| abstract_inverted_index.marker | 51, 251, 273 |
| abstract_inverted_index.useful | 250 |
| abstract_inverted_index.values | 199 |
| abstract_inverted_index.Whether | 2 |
| abstract_inverted_index.between | 94, 171, 182, 215, 224, 233 |
| abstract_inverted_index.decline | 24 |
| abstract_inverted_index.groups. | 99, 158, 187 |
| abstract_inverted_index.history | 11 |
| abstract_inverted_index.optimal | 135 |
| abstract_inverted_index.sample. | 203 |
| abstract_inverted_index.suggest | 245 |
| abstract_inverted_index.whether | 60 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.MCI+rMDD | 114, 186 |
| abstract_inverted_index.N‐back | 132 |
| abstract_inverted_index.Previous | 34 |
| abstract_inverted_index.analyzed | 102 |
| abstract_inverted_index.battery; | 126 |
| abstract_inverted_index.classify | 151 |
| abstract_inverted_index.clinical | 83, 262 |
| abstract_inverted_index.compared | 161 |
| abstract_inverted_index.cortical | 42, 276 |
| abstract_inverted_index.coupling | 46 |
| abstract_inverted_index.decline, | 260 |
| abstract_inverted_index.decline. | 285 |
| abstract_inverted_index.disorder | 15 |
| abstract_inverted_index.findings | 244 |
| abstract_inverted_index.identify | 253 |
| abstract_inverted_index.measured | 129 |
| abstract_inverted_index.remitted | 75 |
| abstract_inverted_index.suggests | 36 |
| abstract_inverted_index.2‐back. | 144 |
| abstract_inverted_index.Cohen’s | 163, 180, 197, 207, 236 |
| abstract_inverted_index.amplitude | 45 |
| abstract_inverted_index.cognition | 90, 170, 214 |
| abstract_inverted_index.cognitive | 6, 23, 53, 79, 259, 284 |
| abstract_inverted_index.completed | 122 |
| abstract_inverted_index.cut‐off | 64, 137, 147 |
| abstract_inverted_index.determine | 59, 192 |
| abstract_inverted_index.intervals | 195 |
| abstract_inverted_index.reduction | 39 |
| abstract_inverted_index.sensitive | 272 |
| abstract_inverted_index.(MCI+rMDD) | 77 |
| abstract_inverted_index.0.54[0.10, | 240 |
| abstract_inverted_index.Background | 1 |
| abstract_inverted_index.Conclusion | 242 |
| abstract_inverted_index.confidence | 194 |
| abstract_inverted_index.depressive | 14 |
| abstract_inverted_index.determined | 139 |
| abstract_inverted_index.diagnosis. | 84, 263 |
| abstract_inverted_index.diagnostic | 98, 226 |
| abstract_inverted_index.difference | 167, 211, 232 |
| abstract_inverted_index.hypothesis | 86 |
| abstract_inverted_index.impairment | 7 |
| abstract_inverted_index.prefrontal | 41, 275 |
| abstract_inverted_index.separating | 68 |
| abstract_inverted_index.TGC‐based | 95 |
| abstract_inverted_index.accelerated | 283 |
| abstract_inverted_index.dysfunction | 277 |
| abstract_inverted_index.impairment. | 54 |
| abstract_inverted_index.individuals | 3, 69, 254 |
| abstract_inverted_index.performance | 80, 141 |
| abstract_inverted_index.Participants | 121 |
| abstract_inverted_index.[0.32,0.88]) | 222 |
| abstract_inverted_index.participants | 152 |
| abstract_inverted_index.[0.004,0.37]) | 229 |
| abstract_inverted_index.bootstrapping | 190 |
| abstract_inverted_index.comprehensive | 124 |
| abstract_inverted_index.hypothesized, | 206 |
| abstract_inverted_index.participants. | 120 |
| abstract_inverted_index.phase‐gamma | 44 |
| abstract_inverted_index.neuropsychological | 125 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5082685454 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 16 |
| corresponding_institution_ids | https://openalex.org/I1338135719 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.5699999928474426 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.54910298 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |