6533b872fe1ef96bd12d37d8

RESEARCH PRODUCT

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subject

Intensity dependencemedicine.medical_specialtySensory gatingbusiness.industry05 social sciencesMismatch negativityAudiologySound intensity050105 experimental psychology03 medical and health sciencesBehavioral NeurosciencePsychiatry and Mental healthElectrophysiology0302 clinical medicineNeuropsychology and Physiological Psychologymedicine.anatomical_structureNeurologyEvent-related potentialMedicine0501 psychology and cognitive sciencesbusiness030217 neurology & neurosurgeryBiological PsychiatryBrain functionDepression (differential diagnoses)

description

Measures of the brain's automatic electrophysiological responses to sounds represent a potential tool for identifying age- and depression-related neural markers. However, these markers have rarely been studied related to aging and depression within one study. Here, we investigated auditory event-related potentials (ERPs) in the brain that may show different alterations related to aging and depression. We used an oddball condition employing changes in sound intensity to investigate: (i) sound intensity dependence; (ii) sensory gating; and (iii) change detection, all within a single paradigm. The ERPs of younger (18-40 years) and older (62-80 years) depressed female participants and age-matched non-depressed participants were measured. Intensity dependence was examined as the difference between N1 responses to repeated high- and low-intensity sounds, sensory gating as N1 responses to rare and repeated sounds, and change detection as indexed by the mismatch negativity (MMN). We found that intensity dependence was greater in older participants than younger ones, indicating effects related to aging but not to depression. For sensory gating, we found depression- and age-related alterations as increased N1 responses. No group differences were found for MMN. Although a sensory gating deficit was expected in older adults, this study is the first to demonstrate age-related overexcitability in sound intensity dependency. The results indicate that automatic brain responses to sound intensity changes are suitable for studying age- and depression-related neural markers but may not be sensitive enough to differentiate the effects of aging and depression.