Monika Angerer
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Monika Angerer has a total of 59 co-authors. Here are the top co-authors by number of shared publications:
- Manuel Schabus
University of Salzburg
13 shared publications - Christine Blume
Centre for Chronobiology, Psychiatric Hospital of the University of Basel, Basel, Switzerland
9 shared publications - Cristina Florea
Department of Geriatric Medicine, Salzburg University Hospital Christian-Doppler-Klinik, Salzburg, Austria
5 shared publications - Jasmin Preiß
University of Salzburg
5 shared publications Manuel Schabus
Centre for Cognitive Neuroscience Salzburg (CCNS), University of Salzburg, Salzburg, Austria
5 shared publicationsGerald Pichler
Apallic Care Unit, Albert Schweitzer Hospital, Geriatric Health Care Centres of the City of Graz , Graz , Austria
4 shared publications
Latest Publications
- Open Access
Talking Brains: Neonatal Aperiodic Activity in Resting State EEG Relates to Later Communicative Abilities
Communicative abilities acquired over the first year of life are foundational for language development. Understanding the neural mechanisms underlying these abilities can explain individual differences and improve predictions of later language outcomes. While prior research on neural markers of language development has focused predominantly on oscillatory neural activity, the underlying aperiodic component of the neural signal may provide further insights into cortical maturation by indirectly reflecting variation in neural excitation/inhibition (E/I) balance. In neurodevelopmental conditions, both reduced and elevated aperiodic activity are linked to atypical development, and initial evidence from at-risk cohorts also relates aperiodic activity to language outcome. Moving beyond clinical populations, the present study examined whether aperiodic activity during neonatal resting-state EEG relates to 12-month communicative abilities in typically developing infants. Aperiodic offset and exponent were extracted from resting-state EEG recorded two weeks after birth in n = 50 neonates using the FOOOF algorithm. At 12 months, communicative abilities were assessed with the parent-report CSBS-DP Infant-Toddler Checklist. Quadratic regression analyses showed an inverted U-shaped relationship between the neonatal aperiodic exponent and communicative abilities: both lower and higher exponent values were associated with poorer outcomes, with intermediate values linked to better abilities. No robust association was found for the offset. These findings suggest that aperiodic activity captures variability in early communicative development, with an optimum at intermediate levels, consistent with a balanced E/I state. The scope of aperiodic brain activity as a developmental marker may thus extend beyond clinical populations to predicting communicative development in healthy infants.
Open AccessTalking Brains: Neonatal Aperiodic Activity in Resting State EEG Relates to Later Communicative Abilities
Communicative abilities acquired over the first year of life are foundational for language development. Understanding the neural mechanisms underlying these abilities can explain individual differences and improve predictions of later language outcomes. While prior research on neural markers of language development has focused predominantly on oscillatory neural activity, the underlying aperiodic component of the neural signal may provide further insights into cortical maturation by indirectly reflecting variation in neural excitation/inhibition (E/I) balance. In neurodevelopmental conditions, both reduced and elevated aperiodic activity are linked to atypical development, and initial evidence from at-risk cohorts also relates aperiodic activity to language outcome. Moving beyond clinical populations, the present study examined whether aperiodic activity during neonatal resting-state EEG relates to 12-month communicative abilities in typically developing infants. Aperiodic offset and exponent were extracted from resting-state EEG recorded two weeks after birth in n = 50 neonates using the FOOOF algorithm. At 12 months, communicative abilities were assessed with the parent-report CSBS-DP Infant-Toddler Checklist. Quadratic regression analyses showed an inverted U-shaped relationship between the neonatal aperiodic exponent and communicative abilities: both lower and higher exponent values were associated with poorer outcomes, with intermediate values linked to better abilities. No robust association was found for the offset. These findings suggest that aperiodic activity captures variability in early communicative development, with an optimum at intermediate levels, consistent with a balanced E/I state. The scope of aperiodic brain activity as a developmental marker may thus extend beyond clinical populations to predicting communicative development in healthy infants.
- Open Access
From Variability to Synchrony: Non-linear Development of Auditory Neural Responses During the First Year of Life
In humans, the first year of life is characterized by rapid developmental changes, including substantial brain maturation. As a result, neural responses to auditory stimuli undergo marked changes during this period. In this study, we followed 69 infants across their first year of life and recorded high-density electroencephalography (hdEEG) at 2 weeks, 6 months, and 12 months postpartum. Infants were presented with pure beep tones to examine the development of neural responses to auditory stimulation. We analysed event-related potentials (ERPs), inter-trial phase coherence (ITPC), and time-frequency (TF) responses to the beep tones and controlled for arousal state during stimulus presentation. We found that with increasing age, neural responses became more pronounced and showed reduced trial-to-trial variability. Phase synchronization increased from 2 weeks to later developmental stages in a broad low-frequency range (0 to 11 Hz), indicating improved temporal alignment of brain responses over time. However, phase synchronization decreased from 6 to 12 months, suggesting a developmental transition towards more differentiated brain activity. Taken together, these findings demonstrate that auditory maturation during the first year of life follows a non-linear trajectory driven by dynamic changes in neural synchronization, reflecting the progressive refinement of functional neural circuits. Our results thus provide a critical benchmark for understanding the neural dynamics underlying sensory development during this period.
Open AccessFrom Variability to Synchrony: Non-linear Development of Auditory Neural Responses During the First Year of Life
In humans, the first year of life is characterized by rapid developmental changes, including substantial brain maturation. As a result, neural responses to auditory stimuli undergo marked changes during this period. In this study, we followed 69 infants across their first year of life and recorded high-density electroencephalography (hdEEG) at 2 weeks, 6 months, and 12 months postpartum. Infants were presented with pure beep tones to examine the development of neural responses to auditory stimulation. We analysed event-related potentials (ERPs), inter-trial phase coherence (ITPC), and time-frequency (TF) responses to the beep tones and controlled for arousal state during stimulus presentation. We found that with increasing age, neural responses became more pronounced and showed reduced trial-to-trial variability. Phase synchronization increased from 2 weeks to later developmental stages in a broad low-frequency range (0 to 11 Hz), indicating improved temporal alignment of brain responses over time. However, phase synchronization decreased from 6 to 12 months, suggesting a developmental transition towards more differentiated brain activity. Taken together, these findings demonstrate that auditory maturation during the first year of life follows a non-linear trajectory driven by dynamic changes in neural synchronization, reflecting the progressive refinement of functional neural circuits. Our results thus provide a critical benchmark for understanding the neural dynamics underlying sensory development during this period.
- Open Access
- 28 October 2025
- Published by Elsevier in Psychoneuroendocrinology
- Vol. 183, 107663
Fetal Dehydroepiandrosterone from Hair Samples at Birth Predicts Language Development
- 28 October 2025
- Published by Elsevier in Psychoneuroendocrinology
- Vol. 183, 107663
Open AccessFetal Dehydroepiandrosterone from Hair Samples at Birth Predicts Language Development
- Open Access
Fetal Dehydroepiandrosterone from Hair Samples at Birth Predicts Language Development
Objective: Sex hormones testosterone and estradiol have been related to children’s language development. Expanding the focus on dehydroepiandrosterone (DHEA), which has not yet been considered as a biological marker of language ability, may provide novel insights, as emerging evidence suggests that fetal DHEA plays a critical role in the organization of the neonatal brain, potentially shaping later language development. The present study investigated whether fetal DHEA, compared to fetal testosterone, is associated with infant language development. Design and methods: DHEA and testosterone concentrations were measured in newborn hair strands ( n = 63) collected two weeks after birth, capturing fetal long-term hormone secretions during the third trimester of pregnancy. At six months of age, children’s language abilities were assessed using the German version of the Bayley Scales of Infant Development. Results. Linear regression analysis revealed fetal DHEA levels to be significantly associated with language abilities at six months of age, with lower DHEA levels corresponding to higher language scores. Control analyses assessing general cognitive abilities showed no association of fetal DHEA levels with infant cognitive function. Testosterone levels were not associated with language. Conclusions: The current study identifies fetal DHEA levels extracted from newborn hair samples as a potential biological factor influencing infant language development.
Open AccessFetal Dehydroepiandrosterone from Hair Samples at Birth Predicts Language Development
Objective: Sex hormones testosterone and estradiol have been related to children’s language development. Expanding the focus on dehydroepiandrosterone (DHEA), which has not yet been considered as a biological marker of language ability, may provide novel insights, as emerging evidence suggests that fetal DHEA plays a critical role in the organization of the neonatal brain, potentially shaping later language development. The present study investigated whether fetal DHEA, compared to fetal testosterone, is associated with infant language development. Design and methods: DHEA and testosterone concentrations were measured in newborn hair strands ( n = 63) collected two weeks after birth, capturing fetal long-term hormone secretions during the third trimester of pregnancy. At six months of age, children’s language abilities were assessed using the German version of the Bayley Scales of Infant Development. Results. Linear regression analysis revealed fetal DHEA levels to be significantly associated with language abilities at six months of age, with lower DHEA levels corresponding to higher language scores. Control analyses assessing general cognitive abilities showed no association of fetal DHEA levels with infant cognitive function. Testosterone levels were not associated with language. Conclusions: The current study identifies fetal DHEA levels extracted from newborn hair samples as a potential biological factor influencing infant language development.
- Open Access
- 15 January 2025
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 20 (1) , e0301876
Maternal characteristics and their relation to early mother-child interaction and cognitive development in toddlers
Early mother-infant interaction is believed to have a significant impact on the social, cognitive, and emotional development of children. These interactions are not only influenced by child and contextual factors but also by the mother’s personality traits and strain. In this study, we investigated the relation between maternal factors such as personality, depressive symptoms, or experiencing of emotions, and (i) children’s early cognitive development and (ii) interaction patterns in a sample of 116 mother-child dyads (mean child age = 18.63 months ± 6.42). Maternal factors were assessed using standardized questionnaires and toddlers’ cognitive development was measured using the Bayley Scales of Infant and Toddler Development. Interaction patterns were evaluated using the CARE-Index. The study found that children of mothers who scored higher in agreeableness, a personality trait reflecting compassion and cooperation, performed better in cognitive assessments. Additionally, mothers who placed significant importance on their bodily signals to assess their overall well-being had higher scores in the quality of interaction with their child. Statistical trends suggested that mothers with higher levels of conscientiousness, indicative of being organized and responsible, tended to be more responsive in the interaction with their infants, while those with higher levels of neuroticism, characterized by a tendency towards negative emotions, were more likely to have toddlers who inhibit their true negative affect. Finally, there was a trend indicating that maternal depression was associated with increased maternal controlling behavior towards toddlers. Overall, these findings show the intricate relation between maternal behavior and state with dyadic interaction quality. This should underline that optimal infant development is only possible if mothers are well supported especially if in need due to various burdens such as depressive symptoms.
- 15 January 2025
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 20 (1) , e0301876
Open AccessMaternal characteristics and their relation to early mother-child interaction and cognitive development in toddlers
Early mother-infant interaction is believed to have a significant impact on the social, cognitive, and emotional development of children. These interactions are not only influenced by child and contextual factors but also by the mother’s personality traits and strain. In this study, we investigated the relation between maternal factors such as personality, depressive symptoms, or experiencing of emotions, and (i) children’s early cognitive development and (ii) interaction patterns in a sample of 116 mother-child dyads (mean child age = 18.63 months ± 6.42). Maternal factors were assessed using standardized questionnaires and toddlers’ cognitive development was measured using the Bayley Scales of Infant and Toddler Development. Interaction patterns were evaluated using the CARE-Index. The study found that children of mothers who scored higher in agreeableness, a personality trait reflecting compassion and cooperation, performed better in cognitive assessments. Additionally, mothers who placed significant importance on their bodily signals to assess their overall well-being had higher scores in the quality of interaction with their child. Statistical trends suggested that mothers with higher levels of conscientiousness, indicative of being organized and responsible, tended to be more responsive in the interaction with their infants, while those with higher levels of neuroticism, characterized by a tendency towards negative emotions, were more likely to have toddlers who inhibit their true negative affect. Finally, there was a trend indicating that maternal depression was associated with increased maternal controlling behavior towards toddlers. Overall, these findings show the intricate relation between maternal behavior and state with dyadic interaction quality. This should underline that optimal infant development is only possible if mothers are well supported especially if in need due to various burdens such as depressive symptoms.
- Open Access
Maternal characteristics and their relation to early mother-child interaction and cognitive development in toddlers
Early mother-infant interaction is believed to have a significant impact on the social, cognitive, and emotional development of children. These interactions are not only influenced by child and contextual factors but also by the mother’s personality traits and strain. In this study, we investigated the relation between maternal factors such as personality, depressive symptoms, or experiencing of emotions, with (i) children’s early cognitive development and (ii) interaction patterns in a sample of 116 mother-child dyads (mean child age = 18.63 months ± 6.42). Maternal factors were assessed using standardized questionnaires, children’s cognitive development was measured using the Bayley Scales of Infant and Toddler Development, and interaction patterns were evaluated using the CARE-Index. The study found that children of mothers who scored higher in agreeableness performed better in cognitive assessments. Additionally, our analysis revealed statistical trends indicating that mothers with higher levels of conscientiousness tended to be less unresponsive in the interaction with their infants, while those with higher levels of neuroticism were more likely to exhibit compulsive behavior in their toddlers. Additionally, there was a trend indicating that maternal depression was associated with increased maternal controlling behavior towards toddlers. Finally, mothers who placed significant importance on their bodily signals to assess their overall well-being had higher scores in the quality of interaction with their child. Overall, these findings show the intricate relation between maternal behavior and state with dyadic interaction quality. This should underline that optimal infant development is only possible if mothers are well supported especially if in need due to various burdens such as depressive symptoms.
Open AccessMaternal characteristics and their relation to early mother-child interaction and cognitive development in toddlers
Early mother-infant interaction is believed to have a significant impact on the social, cognitive, and emotional development of children. These interactions are not only influenced by child and contextual factors but also by the mother’s personality traits and strain. In this study, we investigated the relation between maternal factors such as personality, depressive symptoms, or experiencing of emotions, with (i) children’s early cognitive development and (ii) interaction patterns in a sample of 116 mother-child dyads (mean child age = 18.63 months ± 6.42). Maternal factors were assessed using standardized questionnaires, children’s cognitive development was measured using the Bayley Scales of Infant and Toddler Development, and interaction patterns were evaluated using the CARE-Index. The study found that children of mothers who scored higher in agreeableness performed better in cognitive assessments. Additionally, our analysis revealed statistical trends indicating that mothers with higher levels of conscientiousness tended to be less unresponsive in the interaction with their infants, while those with higher levels of neuroticism were more likely to exhibit compulsive behavior in their toddlers. Additionally, there was a trend indicating that maternal depression was associated with increased maternal controlling behavior towards toddlers. Finally, mothers who placed significant importance on their bodily signals to assess their overall well-being had higher scores in the quality of interaction with their child. Overall, these findings show the intricate relation between maternal behavior and state with dyadic interaction quality. This should underline that optimal infant development is only possible if mothers are well supported especially if in need due to various burdens such as depressive symptoms.
- Open Access
Neural speech tracking in newborns: prenatal learning and contributing factors
Introduction: Early language development in infants is being increasingly studied, though only recently with direct measurements of brain activity rather than with behavioral or physiological measurements. In the current study, we use electroencephalographic (EEG) recordings of 2-week-old infants to look for signs of prenatal learning and to investigate newborns’ abilities to process language. We also look at the influence of prenatal stress factors and at the predictive value of the newborns’ language processing abilities for later language development. Methods: Sixty pregnant women played a rhyme to their abdomen twice a day from the 34 th week of pregnancy until birth, to familiarize the fetus with the rhyme. At around 2 weeks after delivery (mean age 16 days), the newborns were exposed to the familiar rhyme as well as to an unfamiliar one while their EEG was recorded. Additionally, three manipulations of the familiar rhyme were played: (1) low-pass filtered, (2) with changed rhythm, and (3) inverted and played backwards. The data was analyzed to see how well the infant brain signal followed the speech envelope in each condition. Accounting for the heterogenous approach used for neural speech tracking in the literature, we used four methods, namely: (1) coherence, (2) Hilbert coherence, (3) temporal response functions (TRF), and (4) mutual information (MI). The maternal prenatal depression was evaluated with Edinburgh Prenatal Depression Score and the chronic fetal stress was measured from the hair cortisol levels of the 2 week-olds. The language development at 6 months of age was evaluated with the Bayley Scales. Results and discussion: Overall, the results indicate the presence of prenatal learning, with the unfamiliar rhyme eliciting stronger cortical tracking (higher coherence and MI) than the familiar rhyme, which suggests stronger brain-to-speech coupling for the unfamiliar rhyme, perhaps deriving from more effort to process the unexpected stimulus. However, the original version of the familiar rhyme proved to be the easiest to track compared to the language- and rhythm-manipulations, (higher MI for the original rhyme than the language manipulation and higher coherence and mTRF correlation coefficients for the original rhyme than the rhythm manipulation). This indicates language discrimination and a prosodic-based learning of the familiar rhyme. Furthermore, there is an indication of phonotactic sensitivity at this young age, with less tracking (lower Hilbert coherence and lower mTRF correlation coefficients) of the low-pass filtered rhyme than the original version, indicating that the phonological cues erased by the filtering were important for the newborn’s ability to follow the rhyme. Furthermore, the mothers’ depression scores positively correlated with the infant’s tracking ability for the familiar rhyme. This suggests that a slightly lower mood was more stimulative for the fetal language development. The chronic fetal stress levels, however, were negatively correlated with the cortical tracking abilities. Importantly, the newborn’s cortical tracking was positively correlated with the infant’s language development at 6 months of age, underlining the predictive value of the early assessment of language processing. Conclusion: Prenatal learning is well established, but evidence including (healthy) brain data in the first weeks of life is scarce. The current study shows that newborns can discriminate between a familiar and unfamiliar rhyme, while also highlighting the role of prosody in early language processing, and bringing new evidence of their sensitivity to phonotactic cues in auditory stimuli. Furthermore, the newborn’s ability to track a rhyme is correlated with their language development at 6 months. The newborn’s cortical tracking of the familiar rhyme is further increased by moderately low maternal mood, but decreased by fetal stress. Future studies with similar fine-grained linguistic designs but of older infants should teach us the timeline of what exactly is learned prenatally and at very early age in respect to language.
Open AccessNeural speech tracking in newborns: prenatal learning and contributing factors
Introduction: Early language development in infants is being increasingly studied, though only recently with direct measurements of brain activity rather than with behavioral or physiological measurements. In the current study, we use electroencephalographic (EEG) recordings of 2-week-old infants to look for signs of prenatal learning and to investigate newborns’ abilities to process language. We also look at the influence of prenatal stress factors and at the predictive value of the newborns’ language processing abilities for later language development. Methods: Sixty pregnant women played a rhyme to their abdomen twice a day from the 34 th week of pregnancy until birth, to familiarize the fetus with the rhyme. At around 2 weeks after delivery (mean age 16 days), the newborns were exposed to the familiar rhyme as well as to an unfamiliar one while their EEG was recorded. Additionally, three manipulations of the familiar rhyme were played: (1) low-pass filtered, (2) with changed rhythm, and (3) inverted and played backwards. The data was analyzed to see how well the infant brain signal followed the speech envelope in each condition. Accounting for the heterogenous approach used for neural speech tracking in the literature, we used four methods, namely: (1) coherence, (2) Hilbert coherence, (3) temporal response functions (TRF), and (4) mutual information (MI). The maternal prenatal depression was evaluated with Edinburgh Prenatal Depression Score and the chronic fetal stress was measured from the hair cortisol levels of the 2 week-olds. The language development at 6 months of age was evaluated with the Bayley Scales. Results and discussion: Overall, the results indicate the presence of prenatal learning, with the unfamiliar rhyme eliciting stronger cortical tracking (higher coherence and MI) than the familiar rhyme, which suggests stronger brain-to-speech coupling for the unfamiliar rhyme, perhaps deriving from more effort to process the unexpected stimulus. However, the original version of the familiar rhyme proved to be the easiest to track compared to the language- and rhythm-manipulations, (higher MI for the original rhyme than the language manipulation and higher coherence and mTRF correlation coefficients for the original rhyme than the rhythm manipulation). This indicates language discrimination and a prosodic-based learning of the familiar rhyme. Furthermore, there is an indication of phonotactic sensitivity at this young age, with less tracking (lower Hilbert coherence and lower mTRF correlation coefficients) of the low-pass filtered rhyme than the original version, indicating that the phonological cues erased by the filtering were important for the newborn’s ability to follow the rhyme. Furthermore, the mothers’ depression scores positively correlated with the infant’s tracking ability for the familiar rhyme. This suggests that a slightly lower mood was more stimulative for the fetal language development. The chronic fetal stress levels, however, were negatively correlated with the cortical tracking abilities. Importantly, the newborn’s cortical tracking was positively correlated with the infant’s language development at 6 months of age, underlining the predictive value of the early assessment of language processing. Conclusion: Prenatal learning is well established, but evidence including (healthy) brain data in the first weeks of life is scarce. The current study shows that newborns can discriminate between a familiar and unfamiliar rhyme, while also highlighting the role of prosody in early language processing, and bringing new evidence of their sensitivity to phonotactic cues in auditory stimuli. Furthermore, the newborn’s ability to track a rhyme is correlated with their language development at 6 months. The newborn’s cortical tracking of the familiar rhyme is further increased by moderately low maternal mood, but decreased by fetal stress. Future studies with similar fine-grained linguistic designs but of older infants should teach us the timeline of what exactly is learned prenatally and at very early age in respect to language.
- Open Access
Postpartum suicidal ideation in Austria and Germany during the COVID-19 pandemic
Introduction Postpartum suicidal ideation is a significant concern, as it poses a risk for future suicide attempts, particularly in high income countries, where suicide ranks among the leading causes of death for postpartum mothers. The literature indicates a global average prevalence of postpartum suicidal ideation of approximately 7%, but for Austria and Germany there are few studies on this subject. Methods In a web-based survey for Austrian and German mothers of children born during the COVID-19 pandemic, several measures of mental health (depression, stress), social support and other parenting and pandemic-related questions were assessed in 1964 mothers. Based on the answers for the last item of the Edinburgh Postpartum Depression Scale, the suicidality risk and the presence or absence of suicidal ideation were computed. Furthermore, possible risk or protective factors for suicidality were investigated. Results The prevalence of suicidal ideation was 7.3%, which is in the range of the global prevalence reported in the literature, but two times higher than previous reports on German mothers. The three strongest risk factors for suicidal ideation were (i) high levels of stress (increased risk by 350%), (ii) a lack of perceived social support (increased risk by 265%), and (iii) a perceived negative effect of the pandemic on the relationship with the partner (increased risk by 223%). Not receiving help from family and friends, having a lower income, and feeling negatively impacted by the pandemic also significantly increased the risk of suicidal ideation. Discussion and conclusion The results indicate a higher prevalence of suicidality than previously reported in German mothers, and confirm the risk factors previously associated with depression and suicidality. These risk and protective factors could be targets of social and public health policies, while the first step should be a general screening program for suicidality in this population group.
Open AccessPostpartum suicidal ideation in Austria and Germany during the COVID-19 pandemic
Introduction Postpartum suicidal ideation is a significant concern, as it poses a risk for future suicide attempts, particularly in high income countries, where suicide ranks among the leading causes of death for postpartum mothers. The literature indicates a global average prevalence of postpartum suicidal ideation of approximately 7%, but for Austria and Germany there are few studies on this subject. Methods In a web-based survey for Austrian and German mothers of children born during the COVID-19 pandemic, several measures of mental health (depression, stress), social support and other parenting and pandemic-related questions were assessed in 1964 mothers. Based on the answers for the last item of the Edinburgh Postpartum Depression Scale, the suicidality risk and the presence or absence of suicidal ideation were computed. Furthermore, possible risk or protective factors for suicidality were investigated. Results The prevalence of suicidal ideation was 7.3%, which is in the range of the global prevalence reported in the literature, but two times higher than previous reports on German mothers. The three strongest risk factors for suicidal ideation were (i) high levels of stress (increased risk by 350%), (ii) a lack of perceived social support (increased risk by 265%), and (iii) a perceived negative effect of the pandemic on the relationship with the partner (increased risk by 223%). Not receiving help from family and friends, having a lower income, and feeling negatively impacted by the pandemic also significantly increased the risk of suicidal ideation. Discussion and conclusion The results indicate a higher prevalence of suicidality than previously reported in German mothers, and confirm the risk factors previously associated with depression and suicidality. These risk and protective factors could be targets of social and public health policies, while the first step should be a general screening program for suicidality in this population group.
- Open Access
- 15 March 2022
- Published by Oxford University Press (OUP) in SLEEP
- Vol. 45 (7)
From dawn to dusk—mimicking natural daylight exposure improves circadian rhythm entrainment in patients with severe brain injury
While light therapy has proven effective in re-entraining circadian rhythms, the potential of such an intervention has not been evaluated systematically in post-comatose patients with disorders of consciousness (DOC), who often have strongly altered circadian rhythms. We recorded skin temperature over 7–8 days in patients with DOC in each of two conditions: habitual light (HL), and dynamic daylight (DDL) condition. While patients were in a room with usual clinic lighting in the HL condition, they were in an otherwise comparable room with biodynamic lighting (i.e. higher illuminance and dynamic changes in spectral characteristics during the day) in the DDL condition. To detect rhythmicity in the patients’ temperature data, we computed Lomb–Scargle periodograms and analyzed normalized power, and peak period. Furthermore, we computed interdaily stability and intradaily variability, which provide information about rhythm entrainment and fragmentation. We analyzed data from 17 patients with DOC (i.e. unresponsive wakefulness syndrome [n = 15] and minimally conscious state [n = 2]). The period length of the patients’ temperature rhythms was closer to 24 h in the DDL as compared to the HL condition (median median deviation from 24 h: DDL = 0.52 h, HL = 3.62 h). Specifically, in 11/17 (65%) patients the period length was closer to 24 h in the DDL condition. Furthermore, the patients’ rhythm was more pronounced, more stable, and less variable in the DDL condition. Our results indicate that DDL stimulation entrains and stabilizes circadian rhythms. This highlights the importance of adequate room lighting as an adjunct therapeutic approach for improving circadian rhythms in severely brain-injured patients. German Clinical Trials Register (DRKS00016041); registration: 18.01.2019; recording start: 04.06.2019 https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00016041
- 15 March 2022
- Published by Oxford University Press (OUP) in SLEEP
- Vol. 45 (7)
Open AccessFrom dawn to dusk—mimicking natural daylight exposure improves circadian rhythm entrainment in patients with severe brain injury
While light therapy has proven effective in re-entraining circadian rhythms, the potential of such an intervention has not been evaluated systematically in post-comatose patients with disorders of consciousness (DOC), who often have strongly altered circadian rhythms. We recorded skin temperature over 7–8 days in patients with DOC in each of two conditions: habitual light (HL), and dynamic daylight (DDL) condition. While patients were in a room with usual clinic lighting in the HL condition, they were in an otherwise comparable room with biodynamic lighting (i.e. higher illuminance and dynamic changes in spectral characteristics during the day) in the DDL condition. To detect rhythmicity in the patients’ temperature data, we computed Lomb–Scargle periodograms and analyzed normalized power, and peak period. Furthermore, we computed interdaily stability and intradaily variability, which provide information about rhythm entrainment and fragmentation. We analyzed data from 17 patients with DOC (i.e. unresponsive wakefulness syndrome [n = 15] and minimally conscious state [n = 2]). The period length of the patients’ temperature rhythms was closer to 24 h in the DDL as compared to the HL condition (median median deviation from 24 h: DDL = 0.52 h, HL = 3.62 h). Specifically, in 11/17 (65%) patients the period length was closer to 24 h in the DDL condition. Furthermore, the patients’ rhythm was more pronounced, more stable, and less variable in the DDL condition. Our results indicate that DDL stimulation entrains and stabilizes circadian rhythms. This highlights the importance of adequate room lighting as an adjunct therapeutic approach for improving circadian rhythms in severely brain-injured patients. German Clinical Trials Register (DRKS00016041); registration: 18.01.2019; recording start: 04.06.2019 https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00016041
- Open Access
- 11 March 2022
- Published by MDPI AG in Brain Sciences
- Vol. 12 (3) , 375
Does the Heart Fall Asleep?—Diurnal Variations in Heart Rate Variability in Patients with Disorders of Consciousness
The current study investigated heart rate (HR) and heart rate variability (HRV) across day and night in patients with disorders of consciousness (DOC). We recorded 24-h electrocardiography in 26 patients with DOC (i.e., unresponsive wakefulness syndrome (UWS; n = 16) and (exit) minimally conscious state ((E)MCS; n = 10)). To examine diurnal variations, HR and HRV indices in the time, frequency, and entropy domains were computed for periods of clear day- (forenoon: 8 a.m.–2 p.m.; afternoon: 2 p.m.–8 p.m.) and nighttime (11 p.m.–5 a.m.). The results indicate that patients’ interbeat intervals (IBIs) were larger during the night than during the day, indicating HR slowing. The patients in UWS showed larger IBIs compared to the patients in (E)MCS, and the patients with non-traumatic brain injury showed lower HRV entropy than the patients with traumatic brain injury. Additionally, higher HRV entropy was associated with higher EEG entropy during the night. Thus, cardiac activity varies with a diurnal pattern in patients with DOC and can differentiate between patients’ diagnoses and etiologies. Moreover, the interaction of heart and brain appears to follow a diurnal rhythm. Thus, HR and HRV seem to mirror the integrity of brain functioning and, consequently, might serve as supplementary measures for improving the validity of assessments in patients with DOC.
- 11 March 2022
- Published by MDPI AG in Brain Sciences
- Vol. 12 (3) , 375
Open AccessDoes the Heart Fall Asleep?—Diurnal Variations in Heart Rate Variability in Patients with Disorders of Consciousness
The current study investigated heart rate (HR) and heart rate variability (HRV) across day and night in patients with disorders of consciousness (DOC). We recorded 24-h electrocardiography in 26 patients with DOC (i.e., unresponsive wakefulness syndrome (UWS; n = 16) and (exit) minimally conscious state ((E)MCS; n = 10)). To examine diurnal variations, HR and HRV indices in the time, frequency, and entropy domains were computed for periods of clear day- (forenoon: 8 a.m.–2 p.m.; afternoon: 2 p.m.–8 p.m.) and nighttime (11 p.m.–5 a.m.). The results indicate that patients’ interbeat intervals (IBIs) were larger during the night than during the day, indicating HR slowing. The patients in UWS showed larger IBIs compared to the patients in (E)MCS, and the patients with non-traumatic brain injury showed lower HRV entropy than the patients with traumatic brain injury. Additionally, higher HRV entropy was associated with higher EEG entropy during the night. Thus, cardiac activity varies with a diurnal pattern in patients with DOC and can differentiate between patients’ diagnoses and etiologies. Moreover, the interaction of heart and brain appears to follow a diurnal rhythm. Thus, HR and HRV seem to mirror the integrity of brain functioning and, consequently, might serve as supplementary measures for improving the validity of assessments in patients with DOC.