Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.

[EX Q]: We recently proposed the existence of neurotoxic interactions between the cannabinoid type 1 (CB(1)) receptor and transient receptor potential vanilloid 1 (TRPV1) channels in rat mesencephalic cultures. This study seeks evidence for the mediator(s) and mechanisms underlying the neurotoxic interactions between CB(1) receptors and TRPV1 in vitro and in vivo.', 'The mediator(s) and mechanism(s) for the interactions between CB(1) receptors and TRPV1 were evaluated by cell viability assays, immunocytochemistry, Fura-2 calcium imaging, mitochondrial morphology assay, ELISA and Western blot assay in vitro in neuron-enriched mesencephalic cultures. Injections into the substantia nigra and subsequent cell counts were also used to confirm these interactions in vivo.', 'The neurotoxic interactions were mediated by 12(S)-hydroperoxyeicosatetraenoic acid (12(S)-HPETE), an endogenous TRPV1 agonist. CB(1) receptor agonists (HU210 and WIN55,212-2) increased the level of 12(S)-hydroxyeicosatetraenoic acid (12(S)-HETE), a downstream metabolite of 12(S)-HPETE, which stimulates TRPV1-mediated death of mesencephalic neurons, both in vitro and in vivo. The neurotoxicity was mediated by increased intracellular Ca(2+) concentration ([Ca(2+)](i)) through TRPV1, consequently leading to mitochondrial damage and was attenuated by baicalein, a 12-lipoxygenase inhibitor.
[EX A]: Are interactions between CB ( 1 ) receptors and TRPV1 channels mediated by 12-HPETE cytotoxic to mesencephalic dopaminergic neurons?

[EX Q]: To analyze the functional connectivity patterns of the different EEG bands during wakefulness and sleep (different sleep stages and cyclic alternating pattern (CAP) conditions), using concepts derived from Graph Theory.', 'We evaluated spatial patterns of EEG band synchronization between all possible pairs of electrodes (19) placed over the scalp of 10 sleeping healthy young normal subjects using two graph theoretical measures: the clustering coefficient (Cp) and the characteristic path length (Lp). The measures were obtained during wakefulness and the different sleep stages/CAP conditions from the real EEG connectivity networks and randomized control (surrogate) networks (Cp-s and Lp-s).', 'We found values of Cp and Lp compatible with a small-world network organization in all sleep stages and for all EEG bands. All bands below 15Hz showed an increase of these features during sleep (and during CAP-A phases in particular), compared to wakefulness.
[EX A]: Does the functional connectivity of different EEG bands move towards small-world network organization during sleep?

[EX Q]: How has adherence been measured in recent prospective studies focusing on adherence to exercise programs among older people? What is the range of adherence rates? Which factors are associated with better adherence?', 'Systematic review of prospective studies that had a primary aim of assessing adherence to exercise programs.', 'Older people undertaking exercise programs.', 'Exercise programs.', 'Measures of adherence, adherence rates and factors associated with adherence.', 'Nine eligible papers were identified. The most common adherence measures were the proportion of participants completing exercise programs (ie, did not cease participation, four studies, range 65 to 86%), proportion of available sessions attended (five studies, range 58 to 77%) and average number of home exercise sessions completed per week (two studies, range 1.5 to 3 times per week). Adherence rates were generally higher in supervised programs. The person-level factors associated with better adherence included: demographic factors (higher socioeconomic status, living alone); health status (fewer health conditions, better self-rated health, taking fewer medications); physical factors (better physical abilities); and psychological factors (better cognitive ability, fewer depressive symptoms).
[EX A]:
Is adherence to exercise programs for older people influenced by program characteristics and personal factors : a systematic review?